Lehigh Valley Phantoms
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Depth
News
History
Last Transactions
Injury / Suspension
Web Roster Editor
Web Lines Editor

Game Center
	Carolina Hurricanes 41-26-11, 125pts	1	FINAL	3	Philadelphia Flyers 44-25-9, 132pts

Team Stats
L2	Streak	W2
22-12-5	Home Record	26-8-5
19-14-6	Away Record	18-17-4
4-6-0	Last 10 Games	6-2-2
2.92	Goals Per Game	2.90
2.85	Goals Against Per Game	2.63
20.50%	Power Play Percentage	21.05%
78.71%	Penalty Kill Percentage	85.91%

Philadelphia Flyers
44-25-9, 132pts

FINAL

Carolina Hurricanes
41-26-11, 125pts

Team Stats
W2	Streak	L2
26-8-5	Home Record	22-12-5
18-17-4	Away Record	19-14-6
6-2-2	Last 10 Games	4-6-0
2.90	Goals Per Game	2.92
2.63	Goals Against Per Game	2.85
21.05%	Power Play Percentage	20.50%
85.91%	Penalty Kill Percentage	78.71%

Team Leaders
	Goals Connor McDavid 31	Assists Torey Krug 47

	Points Connor McDavid 74	Plus/Minus Olli Maatta 15

	Wins Martin Jones 22	Save Percentage Martin Jones 0.927

Team Stats
Goals For 226 2.90 GFG	Shots For 2365 30.32 Avg	Power Play Percentage 21.1% 56 GF	Offensive Zone Start 38.8%
Goals Against 205 2.63 GAA	Shots Against 2434 31.21 Avg	Penalty Kill Percentage 85.9%% 31 GA	Defensive Zone Start 37.6%

Team Info
	General Manager	Brad
	Division	Atlantic Division
	Conference	Eastern Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Name	Wells Fargo Center
	Capacity	18,000
	Attendance	17,181
	Season Tickets	7,200
Roster Info
	Pro Team	21
	Farm Team	28
	Contract Limit	49 / 250
	Prospects	39
Finance
	Year to Date Revenue	44,825,421$
	Year To Date Expenses	72,131,320$
	Estimated Season Revenue	0$
	Estimated Season Expenses	440,864$
	Current Bank Account	98,587,571$
	Projected Bank Account	98,136,888$

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	TA	SP	Age	Contract	Salary
1	Connor McDavid	0	X				98.00	73	47	84	92	68	95	98	93	98	95	90	75	88	73	80	0	40	83		0	25	4	5,333,333$
2	Elias Pettersson	0		X			98.00	57	35	92	99	65	91	91	87	90	90	90	70	86	68	73	0	40	80		0	23	2	4,905,000$
3	Sean Couturier	0	X				100.00	78	47	89	90	75	90	90	79	98	81	81	72	78	78	79	0	40	78	N	0	29	1	1,600,000$
4	Viktor Arvidsson	0			X		100.00	61	40	80	90	55	88	84	83	60	80	89	71	82	78	74	0	40	76		0	29	1	3,500,000$
5	Sven Baertschi	0			X		99.00	67	42	85	93	58	84	81	77	76	85	74	73	81	78	72	0	40	75		0	29	2	4,250,000$
6	Markus Granlund	0	X				100.00	75	40	85	86	65	85	87	74	79	79	82	72	78	78	78	0	40	75		0	29	4	4,569,000$
7	Pavel Buchnevich	0			X		99.26	68	42	87	80	72	79	75	74	63	75	79	67	77	76	77	0	40	72		0	27	3	2,500,000$
8	Dan Sexton	0		X			100.00	57	30	84	89	52	83	78	76	67	79	75	58	78	88	71	0	40	72		0	35	1	2,100,000$
9	Craig Smith	0		X			100.00	67	45	80	76	78	83	80	73	82	73	74	64	70	82	70	0	40	71		0	32	2	2,288,999$
10	Daniel Sprong	0		X			100.00	62	42	79	77	70	77	69	71	72	72	78	70	73	73	75	0	40	70		0	25	2	900,000$
11	Derek Ryan	0	X				100.00	60	40	74	82	56	81	81	69	88	75	70	59	73	88	76	0	40	69		0	35	2	1,200,000$
12	Vladimir Sobotka	0			X		100.00	78	45	74	75	63	78	81	70	81	70	65	69	68	86	77	0	40	69		0	34	1	2,100,000$
13	Colton Parayko	0				X	100.00	81	50	92	78	99	92	93	78	52	85	70	80	68	78	86	0	40	79	N	0	29	1	5,500,000$
14	Olli Maatta	0				X	98.00	60	47	95	84	84	95	97	78	53	84	73	80	72	76	81	0	40	78		0	27	2	5,000,000$
15	Victor Hedman	0				X	100.00	75	57	94	69	99	95	95	76	50	79	68	77	67	80	89	0	40	77		0	31	1	5,500,000$
16	Haydn Fleury	0				X	100.00	75	50	87	81	82	76	76	81	50	83	70	75	70	73	83	0	40	75		0	25	1	1,000,000$
17	Sami Vatanen	0				X	100.00	80	40	83	95	66	83	83	78	50	78	70	73	72	80	67	0	40	75		0	31	2	4,350,000$
18	Torey Krug	0				X	100.00	53	42	91	93	62	84	86	71	50	77	64	75	71	80	66	0	40	73		0	31	2	2,800,000$
Scratches
1	Magnus Paajarvi	0			X		100.00	64	45	90	81	73	90	91	80	69	80	81	68	81	80	80	0	40	76		0	31	1	6,500,000$
Farm Team
1	Alexander Radulov	0			X		99.00	56	45	88	71	73	82	78	74	66	77	73	59	71	88	78	0	40	70		0	35	1	1,350,000$
2	Andrew Ladd	0		X			100.00	57	50	80	68	74	81	82	70	65	71	72	60	66	90	81	0	40	69		0	36	1	900,000$
3	Luke Glendening	0		X			100.00	82	47	79	74	59	80	75	70	84	72	67	61	69	84	83	0	40	69		0	33	2	670,000$
4	Brian Gibbons	0		X			100.00	57	35	79	83	52	73	75	69	68	72	68	60	72	86	72	0	40	68		0	34	1	850,000$
5	Andrew Miller	0	X				97.00	59	40	83	82	57	80	80	68	77	73	67	58	71	84	75	0	40	68		0	33	1	750,000$
6	Taylor Raddysh (R)	0			X		98.00	78	42	82	73	80	78	79	63	63	65	65	71	66	70	80	0	40	68		0	24	3	700,000$
7	Nathan Bastian (R)	0			X		100.00	91	50	59	75	92	72	66	61	74	61	65	67	67	70	73	0	40	67		0	24	1	700,000$
8	Morgan Geekie (R)	0	X				100.00	61	42	79	77	73	79	87	63	84	67	64	68	67	68	64	0	40	67		0	23	3	800,000$
9	Jake Leschyshyn (R)	0	X				100.00	72	42	80	69	68	73	81	60	72	64	62	74	63	77	77	0	40	67		0	23	3	600,000$
10	Jack McBain (R)	0	X				100.00	90	45	72	74	70	74	82	60	66	61	62	71	64	60	67	0	40	66		0	22	3	700,000$
11	Pierre-Cedric Labrie	0	X				100.00	76	53	70	58	81	69	69	60	73	63	64	64	59	88	89	0	40	65		0	35	2	550,000$
12	Riley Tufte (R)	0		X			100.00	57	50	71	64	90	62	70	60	69	56	61	70	61	70	67	0	40	63		0	24	3	1,000,000$
13	Mattias Samuelsson (R)	0				X	100.00	93	50	87	69	95	81	89	68	50	75	60	63	60	65	88	0	40	72		0	22	3	800,000$
14	Nate Schmidt	0				X	98.00	56	42	90	78	80	83	84	69	57	72	64	72	64	79	77	0	40	71		0	30	3	700,000$
15	Trevor van Riemsdyk	0				X	100.00	58	47	90	81	75	89	89	72	50	77	65	66	68	79	68	0	40	71		0	30	2	1,800,000$
16	Andrew MacWilliam	0				X	100.00	84	47	79	64	90	74	74	65	50	70	60	70	57	82	86	0	40	70		0	32	1	1,550,000$
17	Jake Bean (R)	0				X	97.00	56	35	82	88	78	74	74	73	50	75	65	69	68	65	73	0	40	70		0	24	2	1,250,000$
18	Erik Brannstrom (R)	0				X	100.00	59	40	74	89	64	76	76	65	50	73	64	65	67	65	60	0	40	68		0	22	2	1,000,000$
19	Brad Richardson	0			X		69.15	60	47	81	72	63	79	75	72	66	71	71	61	68	93	80	0	40	69		0	37	1	920,000$
20	Matthew Highmore	0			X		99.00	71	40	80	75	61	73	73	60	71	64	63	71	65	75	65	0	40	66		0	26	3	510,000$
21	Thomas Harley (R)	0				X	55.72	66	45	81	78	82	69	77	64	50	65	61	65	61	60	76	0	40	68		0	20	3	1,250,000$
22	Connor Mackey	0				X	100.00	63	45	38	80	73	67	67	66	50	67	64	63	63	73	64	0	40	66		0	25	4	1,667,000$
23	Adam Clendening	0				X	100.00	54	42	71	79	52	71	72	62	50	65	59	63	59	78	65	0	40	64		0	29	1	500,000$
24	Guillaume Brisebois (R)	0				X	100.00	51	35	84	88	45	62	61	60	50	56	59	60	62	70	60	0	40	61		0	24	3	700,000$

	TEAM AVERAGE						99.59	68	43	86	85	71	86	85	77	70	80	76	71	75	79	77	0	40	75

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Martin Jones	0	98.00	83	77	77	86	83	84	85	83	83	84	84	82	71	0	40	80	0	32	1	7,750,000$
2	Mike Smith	0	100.00	70	70	71	86	75	80	80	77	71	80	78	99	78	0	40	76	0	40	1	800,000$
Scratches
Farm Team
1	Thomas Greiss	0	100.00	70	79	79	80	75	79	80	78	73	79	78	90	69	0	40	75	0	36	1	950,000$
2	Daniel Taylor	0	98.00	85	64	64	80	74	78	78	75	75	78	75	90	69	0	40	74	0	36	1	1,100,000$
3	Christopher Gibson	0	100.00	83	56	56	80	75	73	74	76	76	73	74	55	55	0	40	70	0	29	2	525,000$
4	HUNTER JONES	0	99.00	80	60	60	86	74	70	71	74	74	71	72	63	52	0	40	70	0	21	1	500,000$

	TEAM AVERAGE		99.00	77	74	74	86	79	82	83	80	77	82	81	91	75	0	40	78

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Connor McDavid	Philadelphia Flyers	C	78	31	43	74	-8	55	5	131	188	303	86	189	10.23%	38	1737	22.28	5	19	24	35	241	1	0	1	6	140	4	1	53.29%	2368	65	39	0	1	0.85	2	7	0	0	1	2	7	4
2	Elias Pettersson	Philadelphia Flyers	LW	78	27	46	73	-12	15	5	56	85	282	87	210	9.57%	41	1617	20.74	13	16	29	43	239	0	0	0	2	61	7	3	48.39%	124	99	28	0	0	0.90	4	7	0	0	1	3	4	4
3	Daniel Sprong	Philadelphia Flyers	LW	77	25	37	62	5	70	20	108	101	208	65	111	12.02%	39	1381	17.95	8	6	14	33	154	0	0	0	1	24	1	0	38.71%	93	48	35	0	1	0.90	1	3	1	1	2	6	2	6
4	Sean Couturier	Philadelphia Flyers	C	78	26	32	58	14	24	10	127	142	202	70	125	12.87%	33	1338	17.16	4	7	11	8	118	1	0	1	1	133	2	2	55.15%	1019	46	19	1	0	0.87	0	2	1	1	0	4	5	4
5	Torey Krug	Philadelphia Flyers	D	78	11	47	58	-3	16	10	47	160	186	79	78	5.91%	108	2000	25.64	5	17	22	30	232	0	3	3	9	322	1	3	0.00%	0	56	93	1	0	0.58	0	2	1	0	1	1	4	3
6	Viktor Arvidsson	Philadelphia Flyers	RW	78	19	29	48	-4	50	0	91	87	193	65	102	9.84%	24	1403	17.99	4	9	13	12	189	0	0	0	0	1	4	2	41.94%	93	44	18	0	0	0.68	2	4	0	0	0	3	4	3
7	Sven Baertschi	Philadelphia Flyers	RW	78	21	21	42	-6	26	0	87	79	216	62	126	9.72%	21	1260	16.17	6	9	15	22	209	0	0	0	1	47	5	2	46.00%	100	53	21	0	0	0.67	3	6	0	0	0	2	4	4
8	Dan Sexton	Philadelphia Flyers	LW	78	25	16	41	6	20	0	49	67	128	35	55	19.53%	20	1239	15.89	9	5	14	21	163	0	0	0	0	5	6	0	36.54%	52	22	14	0	0	0.66	0	2	0	0	0	2	1	3
9	Markus Granlund	Philadelphia Flyers	C	76	11	28	39	-5	45	5	117	133	138	42	91	7.97%	25	1261	16.60	0	7	7	8	177	0	0	0	2	48	1	0	47.04%	1148	30	25	0	0	0.62	1	1	0	0	1	3	1	2
10	Magnus Paajarvi	Philadelphia Flyers	RW	77	15	22	37	-2	35	5	67	83	196	60	122	7.65%	21	1156	15.02	1	4	5	6	72	0	0	0	4	60	2	0	44.44%	63	50	17	0	0	0.64	1	1	0	0	0	1	3	1
11	Sami Vatanen	Philadelphia Flyers	D	78	10	26	36	-15	31	5	150	100	110	46	42	9.09%	75	1502	19.27	10	7	17	27	270	0	0	0	0	36	3	0	0.00%	0	45	50	0	0	0.48	0	0	0	0	1	1	2	3
12	Pavel Buchnevich	Philadelphia Flyers	RW	66	12	22	34	3	10	0	71	65	118	39	69	10.17%	21	1001	15.17	2	10	12	13	137	0	0	0	0	10	2	0	41.94%	62	22	12	0	0	0.68	0	3	0	0	0	1	0	0
13	Olli Maatta	Philadelphia Flyers	D	78	6	23	29	15	2	0	49	157	102	54	47	5.88%	125	1962	25.15	3	8	11	9	193	1	0	1	6	226	0	0	0.00%	0	47	83	0	0	0.30	0	0	0	0	0	0	0	2
14	Victor Hedman	Philadelphia Flyers	D	78	4	23	27	-10	15	5	108	144	105	43	41	3.81%	106	1899	24.35	2	3	5	9	258	0	4	4	5	249	2	1	0.00%	0	23	70	0	0	0.28	0	0	0	0	1	1	0	1
15	Vladimir Sobotka	Philadelphia Flyers	RW	76	12	12	24	3	25	5	100	73	101	22	59	11.88%	20	881	11.59	1	0	1	2	23	0	2	2	3	173	2	1	62.96%	27	10	16	0	0	0.54	0	0	0	0	0	2	2	1
16	Colton Parayko	Philadelphia Flyers	D	75	4	19	23	-8	16	10	121	134	92	45	36	4.35%	113	1751	23.36	1	0	1	3	85	0	0	0	0	192	0	1	0.00%	0	26	65	0	0	0.26	0	0	0	1	1	0	0	3
17	Derek Ryan	Philadelphia Flyers	C	78	11	9	20	-3	35	5	38	50	113	33	63	9.73%	12	779	10.00	2	2	4	4	29	1	1	2	1	56	2	2	49.12%	342	16	13	0	0	0.51	0	0	1	0	0	0	3	2
18	Craig Smith	Philadelphia Flyers	LW	71	5	13	18	-1	22	10	51	59	93	33	57	5.38%	14	796	11.21	0	0	0	0	9	0	2	2	3	116	0	1	45.22%	115	14	10	1	0	0.45	0	0	0	0	2	1	0	3
19	Haydn Fleury	Philadelphia Flyers	D	74	5	12	17	-2	23	5	88	84	79	35	30	6.33%	74	1273	17.21	1	2	3	4	135	0	0	0	3	78	2	1	0.00%	0	17	41	0	0	0.27	0	0	0	0	1	1	1	1
20	Jack McBain	Lehigh Valley Phantoms (PHI)	C	4	0	1	1	0	0	0	6	2	3	1	0	0.00%	1	37	9.32	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	14	0	1	0	0	0.54	0	0	0	0	0	0	0	0
21	Taylor Raddysh	Lehigh Valley Phantoms (PHI)	RW	3	0	1	1	1	0	0	3	2	3	1	0	0.00%	1	27	9.23	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	1	0	1	0	0	0.72	0	0	0	0	0	0	0	0
22	Pierre-Cedric Labrie	Lehigh Valley Phantoms (PHI)	C	4	0	0	0	-1	0	0	3	0	0	1	0	0.00%	1	34	8.54	0	0	0	0	0	0	0	0	0	0	0	0	100.00%	1	0	1	0	0	0.00%	0	0	0	0	0	0	0	0
23	Nate Schmidt	Lehigh Valley Phantoms (PHI)	D	3	0	0	0	-1	0	0	0	1	0	0	0	0.00%	1	31	10.57	0	0	0	0	5	0	0	0	0	0	0	0	0.00%	0	1	2	0	0	0.00%	0	0	0	0	0	0	0	0
24	Morgan Geekie	Lehigh Valley Phantoms (PHI)	C	1	0	0	0	-1	2	0	0	0	0	0	0	0.00%	2	9	9.50	0	0	0	0	0	0	0	0	0	0	0	0	33.33%	9	0	1	0	0	0.00%	0	0	0	0	0	0	0	0
25	Riley Tufte	Lehigh Valley Phantoms (PHI)	LW	5	0	0	0	-1	7	5	1	2	2	0	1	0.00%	1	45	9.11	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	1	0	1	0	0	0.00%	0	0	0	0	1	0	0	0
Team Total or Average				1470	280	482	762	-36	544	110	1669	1998	2973	1004	1654	9.42%	937	26432	17.98	77	131	208	289	2945	4	12	16	47	1986	46	20	50.89%	5632	734	676	3	2	0.58	14	38	4	3	13	34	43	50

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Martin Jones	Philadelphia Flyers	41	22	11	6	0.927	2.21	2422	4	1	89	1212	598	1	0	0.741	27	38	31	9	3	1
2	Mike Smith	Philadelphia Flyers	34	21	9	3	0.915	2.73	1980	4	2	90	1063	520	3	1	1.000	5	34	39	7	1	2
Team Total or Average			75	43	20	9	0.921	2.44	4403	8	3	179	2275	1118	4	1		32	72	70	16	4	3

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Waiver Possible	Contract	Type	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Link
Colton Parayko (1 Way Contract)	Philadelphia Flyers	D	29	5/12/1993	No	228 Lbs	6 ft6	Yes	No	No	No	1	Pro Only	5,500,000$	30,387$	0$	0$	No				Link / NHL Link
Connor McDavid (1 Way Contract)	Philadelphia Flyers	C	25	1/13/1997	No	193 Lbs	6 ft1	No	No	No	No	4	Pro & Farm	5,333,333$	29,466$	0$	0$	No	5,333,333$	5,333,333$	5,333,333$	Link / NHL Link
Craig Smith	Philadelphia Flyers	LW	32	9/5/1989	No	203 Lbs	6 ft0	No	No	No	No	2	Pro & Farm	2,288,999$	12,646$	0$	0$	No	2,288,999$			Link / NHL Link
Dan Sexton (1 Way Contract)	Philadelphia Flyers	LW	35	4/29/1987	No	156 Lbs	5 ft10	No	No	No	No	1	Pro & Farm	2,100,000$	11,602$	0$	0$	No				Link
Daniel Sprong	Philadelphia Flyers	LW	25	3/17/1997	No	193 Lbs	6 ft0	No	No	No	No	2	Pro & Farm	900,000$	4,972$	0$	0$	No	900,000$			Link / NHL Link
Derek Ryan (1 Way Contract)	Philadelphia Flyers	C	35	12/29/1986	No	185 Lbs	5 ft10	No	No	No	No	2	Pro & Farm	1,200,000$	6,630$	0$	0$	No	1,200,000$			Link / NHL Link
Elias Pettersson (1 Way Contract)	Philadelphia Flyers	LW	23	11/12/1998	No	176 Lbs	6 ft2	No	No	No	No	2	Pro & Farm	4,905,000$	27,099$	0$	0$	No	4,905,000$			Link / NHL Link
Haydn Fleury	Philadelphia Flyers	D	25	7/8/1996	No	208 Lbs	6 ft3	No	No	No	No	1	Pro & Farm	1,000,000$	5,525$	0$	0$	No				Link / NHL Link
Magnus Paajarvi (1 Way Contract)	Philadelphia Flyers	RW	31	4/12/1991	No	205 Lbs	6 ft3	No	No	No	No	1	Pro & Farm	6,500,000$	35,912$	0$	0$	No				Link
Markus Granlund (1 Way Contract)	Philadelphia Flyers	C	29	4/16/1993	No	180 Lbs	6 ft0	No	No	No	No	4	Pro & Farm	4,569,000$	25,243$	0$	0$	No	4,569,000$	4,569,000$	4,569,000$	Link / NHL Link
Martin Jones (1 Way Contract)	Philadelphia Flyers	G	32	1/10/1990	No	190 Lbs	6 ft4	No	No	No	No	1	Pro & Farm	7,750,000$	42,818$	0$	0$	No				Link / NHL Link
Mike Smith (1 Way Contract)	Philadelphia Flyers	G	40	3/22/1982	No	220 Lbs	6 ft5	No	No	No	No	1	Pro & Farm	800,000$	4,420$	0$	0$	No				Link / NHL Link
Olli Maatta (1 Way Contract)	Philadelphia Flyers	D	27	8/22/1994	No	210 Lbs	6 ft2	No	No	No	No	2	Pro & Farm	5,000,000$	27,624$	0$	0$	No	5,000,000$			Link / NHL Link
Pavel Buchnevich	Philadelphia Flyers	RW	27	4/17/1995	No	196 Lbs	6 ft1	No	No	No	No	3	Pro & Farm	2,500,000$	13,812$	0$	0$	No	2,500,000$	2,500,000$		Link / NHL Link
Sami Vatanen (1 Way Contract)	Philadelphia Flyers	D	31	6/3/1991	No	185 Lbs	5 ft10	No	No	No	No	2	Pro & Farm	4,350,000$	24,033$	0$	0$	No	4,350,000$			Link
Sean Couturier	Philadelphia Flyers	C	29	12/7/1992	No	211 Lbs	6 ft3	Yes	No	No	No	1	Pro Only	1,600,000$	8,840$	0$	0$	No				Link / NHL Link
Sven Baertschi (1 Way Contract)	Philadelphia Flyers	RW	29	10/5/1992	No	190 Lbs	5 ft11	No	No	No	No	2	Pro & Farm	4,250,000$	23,481$	0$	0$	No	4,250,000$			Link / NHL Link
Torey Krug	Philadelphia Flyers	D	31	4/12/1991	No	194 Lbs	5 ft9	No	No	No	No	2	Pro & Farm	2,800,000$	15,470$	0$	0$	No	2,800,000$			Link / NHL Link
Victor Hedman (1 Way Contract)	Philadelphia Flyers	D	31	12/18/1990	No	241 Lbs	6 ft6	No	No	No	No	1	Pro & Farm	5,500,000$	30,387$	0$	0$	No				Link / NHL Link
Viktor Arvidsson (1 Way Contract)	Philadelphia Flyers	RW	29	4/8/1993	No	185 Lbs	5 ft10	No	No	No	No	1	Pro & Farm	3,500,000$	19,337$	0$	0$	No				Link / NHL Link
Vladimir Sobotka (1 Way Contract)	Philadelphia Flyers	RW	34	7/2/1987	No	182 Lbs	5 ft10	No	No	No	No	1	Pro & Farm	2,100,000$	11,602$	0$	0$	No				Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
21	29.95	197 Lbs	6 ft1	1.76	3,545,063$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
74,446,332$	38,096,332$	12,402,333$	9,902,333$	0$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Elias Pettersson	Connor McDavid	Sven Baertschi	40	0	1	4
2	Daniel Sprong	Sean Couturier	Viktor Arvidsson	30	0	2	3
3	Dan Sexton	Markus Granlund	Pavel Buchnevich	16	0	1	4
4	Craig Smith	Derek Ryan	Vladimir Sobotka	14	0	4	1

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Torey Krug	Olli Maatta	40	0	4	1
2	Colton Parayko	Victor Hedman	30	0	4	1
3	Sami Vatanen	Haydn Fleury	20	0	4	1
4	Sami Vatanen	Olli Maatta	10	0	4	1

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Elias Pettersson	Connor McDavid	Viktor Arvidsson	53	0	0	5
2	Daniel Sprong	Markus Granlund	Sven Baertschi	47	0	0	5

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Sami Vatanen	Torey Krug	60	0	0	5
2	Olli Maatta	Haydn Fleury	40	0	0	5

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Sean Couturier	Vladimir Sobotka	60	0	5	0
2	Markus Granlund	Craig Smith	40	0	5	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Colton Parayko	Olli Maatta	60	0	5	0
2	Haydn Fleury	Victor Hedman	40	0	5	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Sean Couturier	60	0	4	1	Colton Parayko	Olli Maatta	60	0	4	1
2	Connor McDavid	40	0	4	1	Victor Hedman	Haydn Fleury	40	0	4	1

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Connor McDavid	Sven Baertschi	60	0	0	5
2	Sean Couturier	Elias Pettersson	40	0	1	4

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Haydn Fleury	Torey Krug	60	0	1	4
2	Victor Hedman	Olli Maatta	40	0	2	3

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Elias Pettersson	Connor McDavid	Sven Baertschi	Sami Vatanen	Torey Krug

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Craig Smith	Sean Couturier	Vladimir Sobotka	Olli Maatta	Haydn Fleury

Extra Forwards
Normal	PowerPlay	Penalty Kill
Elias Pettersson, Markus Granlund, Dan Sexton	Markus Granlund, Craig Smith	Elias Pettersson

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Sami Vatanen, Colton Parayko, Olli Maatta	Colton Parayko	Sami Vatanen, Haydn Fleury

Penalty Shots
Connor McDavid, Elias Pettersson, Dan Sexton, Sean Couturier, Viktor Arvidsson

Goalie
#1 : Martin Jones, #2 : Mike Smith

Custom OT Lines Forwards
Connor McDavid, Elias Pettersson, Sean Couturier, Dan Sexton, Viktor Arvidsson, Sven Baertschi, Sven Baertschi, Vladimir Sobotka, Derek Ryan, Daniel Sprong, Markus Granlund

Custom OT Lines Defensemen
Haydn Fleury, Olli Maatta, Sami Vatanen, Victor Hedman, Colton Parayko

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Anaheim Mighty Ducks	2	2	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	4	2	2	6	1.000	6	12	18	0	0	1	0	5	0	62	22	19	21	0	50	20	19	58	8	2	25.00%	7	1	85.71%	0	933	1778	52.47%	921	1727	53.33%	578	1083	53.37%	46	26	35	18	38	19
2	Boston Bruins	2	1	1	0	0	0	0	0	7	6	1	1	0	1	0	0	0	0	0	1	3	-2	1	1	0	0	0	0	0	0	6	3	3	3	0.500	7	12	19	0	0	4	2	1	0	60	27	17	16	0	70	27	22	45	10	4	40.00%	6	0	100.00%	0	933	1778	52.47%	921	1727	53.33%	578	1083	53.37%	45	28	41	17	32	16
3	Carolina Hurricanes	6	5	1	0	0	0	0	0	21	11	10	3	3	0	0	0	0	0	0	9	2	7	3	2	1	0	0	0	0	0	12	9	3	15	0.833	21	33	54	0	1	5	6	10	0	193	80	55	58	0	182	59	26	137	19	6	31.58%	14	0	100.00%	0	933	1778	52.47%	921	1727	53.33%	578	1083	53.37%	130	78	128	53	100	50
4	Chicago Blackhawks	4	1	1	0	1	1	0	0	10	10	0	2	0	0	0	1	1	0	0	6	6	0	2	1	1	0	0	0	0	0	4	4	0	6	0.500	10	15	25	0	1	2	3	4	1	95	33	30	28	4	107	28	27	93	11	3	27.27%	11	1	90.91%	0	933	1778	52.47%	921	1727	53.33%	578	1083	53.37%	78	42	93	39	72	34
5	Colorado Avalanche	4	3	1	0	0	0	0	0	14	8	6	2	2	0	0	0	0	0	0	9	4	5	2	1	1	0	0	0	0	0	5	4	1	9	0.750	14	23	37	0	0	4	5	5	0	110	31	33	46	0	134	49	32	97	12	4	33.33%	16	2	87.50%	1	933	1778	52.47%	921	1727	53.33%	578	1083	53.37%	78	44	93	35	67	32
6	Columbus Blue Jackets	4	1	2	0	1	0	0	0	14	16	-2	2	0	1	0	1	0	0	0	8	9	-1	2	1	1	0	0	0	0	0	6	7	-1	5	0.417	14	21	35	1	0	3	5	5	1	119	31	45	42	1	138	48	27	73	15	0	0.00%	11	2	81.82%	1	933	1778	52.47%	921	1727	53.33%	578	1083	53.37%	84	47	87	36	68	35
7	Dallas Stars	2	1	0	0	1	0	0	0	8	5	3	1	1	0	0	0	0	0	0	3	1	2	1	0	0	0	1	0	0	0	5	4	1	5	0.833	8	16	24	0	0	4	1	2	1	55	24	9	21	1	61	18	14	33	8	2	25.00%	7	2	71.43%	0	933	1778	52.47%	921	1727	53.33%	578	1083	53.37%	42	24	45	18	32	16
8	Detroit Red Wings	4	0	3	0	0	1	0	0	8	13	-5	2	0	2	0	0	0	0	0	3	5	-2	2	0	1	0	0	1	0	0	5	8	-3	1	0.083	8	11	19	0	0	2	2	4	0	120	40	37	43	0	129	41	14	81	7	1	14.29%	7	1	85.71%	0	933	1778	52.47%	921	1727	53.33%	578	1083	53.37%	85	52	87	33	67	33
9	Edmonton Oilers	2	1	0	0	0	0	1	0	11	5	6	1	0	0	0	0	0	1	0	4	3	1	1	1	0	0	0	0	0	0	7	2	5	5	0.833	11	17	28	0	0	5	4	1	2	60	21	25	12	4	70	22	25	37	7	3	42.86%	5	1	80.00%	0	933	1778	52.47%	921	1727	53.33%	578	1083	53.37%	44	26	45	17	35	18
10	Florida Panthers	6	5	0	0	0	1	0	0	22	15	7	3	3	0	0	0	0	0	0	11	5	6	3	2	0	0	0	1	0	0	11	10	1	16	0.889	22	38	60	0	0	9	8	5	0	196	63	61	68	4	174	61	30	131	29	7	24.14%	15	3	80.00%	2	933	1778	52.47%	921	1727	53.33%	578	1083	53.37%	132	78	128	53	103	53
11	Hamilton Mustangs	2	0	0	0	0	0	1	1	6	6	0	1	0	0	0	0	0	1	0	4	3	1	1	0	0	0	0	0	0	1	2	3	-1	3	0.500	6	8	14	0	0	2	2	1	2	76	22	22	28	15	78	19	14	47	0	0	0.00%	6	0	100.00%	0	933	1778	52.47%	921	1727	53.33%	578	1083	53.37%	47	30	47	17	34	16
12	Los Angeles Kings	2	1	1	0	0	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	2	1	1	1	0	1	0	0	0	0	0	1	3	-2	3	0.500	3	6	9	0	0	1	1	1	0	59	28	19	12	0	67	11	17	51	6	1	16.67%	7	1	85.71%	0	933	1778	52.47%	921	1727	53.33%	578	1083	53.37%	44	27	43	17	31	15
13	Minnesota Wild	4	1	3	0	0	0	0	0	7	11	-4	2	1	1	0	0	0	0	0	4	4	0	2	0	2	0	0	0	0	0	3	7	-4	3	0.250	7	11	18	0	0	2	2	3	0	112	48	35	29	0	136	51	25	83	17	2	11.76%	10	1	90.00%	0	933	1778	52.47%	921	1727	53.33%	578	1083	53.37%	87	51	86	34	66	34
14	Montreal Canadiens	2	1	1	0	0	0	0	0	5	4	1	1	0	1	0	0	0	0	0	1	3	-2	1	1	0	0	0	0	0	0	4	1	3	3	0.500	5	8	13	0	0	2	1	2	0	69	20	27	22	0	56	20	10	47	9	1	11.11%	5	0	100.00%	0	933	1778	52.47%	921	1727	53.33%	578	1083	53.37%	44	27	42	17	33	16
15	New York Islanders	6	3	2	0	0	0	0	1	16	15	1	3	2	0	0	0	0	0	1	9	5	4	3	1	2	0	0	0	0	0	7	10	-3	10	0.556	16	27	43	0	0	5	6	5	0	177	61	64	51	5	168	70	45	138	27	4	14.81%	14	2	85.71%	0	933	1778	52.47%	921	1727	53.33%	578	1083	53.37%	135	79	125	55	104	53
16	New York Rangers	6	2	2	0	0	2	0	0	19	21	-2	3	0	1	0	0	2	0	0	8	12	-4	3	2	1	0	0	0	0	0	11	9	2	8	0.444	19	31	50	1	0	4	9	6	0	170	57	79	34	0	181	69	43	147	19	4	21.05%	19	4	78.95%	0	933	1778	52.47%	921	1727	53.33%	578	1083	53.37%	129	75	127	53	105	52
17	Pittsburgh Penguins	2	0	1	0	0	0	1	0	5	8	-3	1	0	0	0	0	0	1	0	3	2	1	1	0	1	0	0	0	0	0	2	6	-4	2	0.333	5	7	12	0	0	0	2	2	2	64	19	13	30	6	62	20	23	34	7	0	0.00%	9	2	77.78%	0	933	1778	52.47%	921	1727	53.33%	578	1083	53.37%	44	25	44	20	35	17
18	Quebec Nordiques	2	0	0	0	2	0	0	0	3	1	2	1	0	0	0	1	0	0	0	2	1	1	1	0	0	0	1	0	0	0	1	0	1	4	0.667	3	5	8	0	1	0	1	0	2	58	15	21	14	8	61	18	18	44	2	0	0.00%	9	1	88.89%	0	933	1778	52.47%	921	1727	53.33%	578	1083	53.37%	41	22	50	20	36	17
19	Seattle Kraken	2	2	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	2	1	1	6	1.000	5	8	13	0	0	0	2	3	0	59	28	20	11	0	59	25	8	43	6	2	33.33%	4	0	100.00%	0	933	1778	52.47%	921	1727	53.33%	578	1083	53.37%	42	25	44	17	32	16
20	St Louis Blues	4	1	2	0	0	0	1	0	9	11	-2	2	1	0	0	0	0	1	0	5	3	2	2	0	2	0	0	0	0	0	4	8	-4	5	0.417	9	13	22	0	0	3	1	4	2	124	56	33	34	3	136	39	36	102	15	3	20.00%	13	3	76.92%	0	933	1778	52.47%	921	1727	53.33%	578	1083	53.37%	95	56	83	34	66	34
21	Tampa Bay Lightning	6	2	4	0	0	0	0	0	16	19	-3	3	2	1	0	0	0	0	0	9	6	3	3	0	3	0	0	0	0	0	7	13	-6	6	0.333	16	23	39	0	0	4	5	7	0	189	56	61	72	0	197	53	47	140	15	4	26.67%	19	4	78.95%	0	933	1778	52.47%	921	1727	53.33%	578	1083	53.37%	127	73	132	51	99	49
22	Toronto Maple Leafs	2	1	0	0	0	0	0	1	4	4	0	1	1	0	0	0	0	0	0	2	1	1	1	0	0	0	0	0	0	1	2	3	-1	4	0.667	4	8	12	0	0	1	2	1	1	62	24	23	14	5	54	14	4	51	7	2	28.57%	2	0	100.00%	0	933	1778	52.47%	921	1727	53.33%	578	1083	53.37%	46	28	39	19	39	19
23	Vegas Golden Knights	2	1	0	0	0	1	0	0	7	6	1	1	0	0	0	0	1	0	0	3	4	-1	1	1	0	0	0	0	0	0	4	2	2	4	0.667	7	11	18	0	0	0	3	4	0	76	27	24	24	1	64	18	18	41	10	1	10.00%	4	0	100.00%	0	933	1778	52.47%	921	1727	53.33%	578	1083	53.37%	45	26	41	17	34	17
	Total	78	35	25	0	5	6	4	3	226	205	21	39	19	8	0	3	4	4	1	111	86	25	39	16	17	0	2	2	0	2	115	119	-4	132	0.564	226	364	590	2	3	63	73	81	14	2365	833	772	730	57	2434	800	544	1753	266	56	21.05%	220	31	85.91%	4	933	1778	52.47%	921	1727	53.33%	578	1083	53.37%	1701	999	1697	700	1337	670
	_Since Last GM Reset	78	35	25	0	5	6	4	3	226	205	21	39	19	8	0	3	4	4	1	111	86	25	39	16	17	0	2	2	0	2	115	119	-4	132	0.564	226	364	590	2	3	63	73	81	14	2365	833	772	730	57	2434	800	544	1753	266	56	21.05%	220	31	85.91%	4	933	1778	52.47%	921	1727	53.33%	578	1083	53.37%	1701	999	1697	700	1337	670
	_Vs Conference	42	20	12	0	2	3	2	3	124	110	14	21	11	4	0	1	2	2	1	59	43	16	21	9	8	0	1	1	0	2	65	67	-2	74	0.587	124	200	324	1	2	36	44	40	7	1314	444	443	407	43	1283	430	282	961	144	32	22.22%	118	16	86.44%	2	933	1778	52.47%	921	1727	53.33%	578	1083	53.37%	926	547	909	379	724	363
	_Vs Division	30	17	9	0	0	3	0	1	94	81	13	15	10	2	0	0	2	0	1	46	30	16	15	7	7	0	0	1	0	0	48	51	-3	55	0.611	94	152	246	1	1	27	34	33	0	925	317	320	283	9	902	312	191	693	109	25	22.94%	81	13	83.95%	2	933	1778	52.47%	921	1727	53.33%	578	1083	53.37%	654	385	643	267	513	259

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
78	132	W2	226	364	590	2365	2434	800	544	1753	2	3

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
78	35	25	5	6	4	3	226	205

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
39	19	8	3	4	4	1	111	86

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
39	16	17	2	2	0	2	115	119

Last 10 Games
W	L	OTW	OTL	SOW	SOL
6	2	0	1	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
266	56	21.05%	220	31	85.91%	4

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
833	772	730	57	63	73	81	14

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
933	1778	52.47%	921	1727	53.33%	578	1083	53.37%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1701	999	1697	700	1337	670

Last Played Games Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
1 - 2022-12-29	1	New York Rangers	4	Philadelphia Flyers	3	BL	X		BoxScore
3 - 2022-12-31	14	Philadelphia Flyers	4	Florida Panthers	3	AW			BoxScore
5 - 2023-01-02	26	New York Islanders	2	Philadelphia Flyers	4	BW			BoxScore
7 - 2023-01-04	39	Philadelphia Flyers	3	Tampa Bay Lightning	5	AL			BoxScore
10 - 2023-01-07	51	Philadelphia Flyers	4	Columbus Blue Jackets	3	AW			BoxScore
12 - 2023-01-09	62	Colorado Avalanche	2	Philadelphia Flyers	4	BW			BoxScore
17 - 2023-01-14	88	Philadelphia Flyers	2	Detroit Red Wings	3	AL	X		BoxScore
18 - 2023-01-15	94	Detroit Red Wings	2	Philadelphia Flyers	1	BL			BoxScore
20 - 2023-01-17	108	Carolina Hurricanes	1	Philadelphia Flyers	2	BW			BoxScore
22 - 2023-01-19	115	Philadelphia Flyers	3	New York Rangers	5	AL			BoxScore
24 - 2023-01-21	129	Philadelphia Flyers	3	Carolina Hurricanes	2	AW			BoxScore
26 - 2023-01-23	141	Tampa Bay Lightning	4	Philadelphia Flyers	2	BL			BoxScore
28 - 2023-01-25	155	Philadelphia Flyers	4	New York Islanders	1	AW			BoxScore
30 - 2023-01-27	167	Florida Panthers	2	Philadelphia Flyers	4	BW			BoxScore
32 - 2023-01-29	176	New York Islanders	1	Philadelphia Flyers	4	BW			BoxScore
34 - 2023-01-31	192	Philadelphia Flyers	1	Tampa Bay Lightning	3	AL			BoxScore
36 - 2023-02-02	204	Philadelphia Flyers	3	Carolina Hurricanes	4	AL			BoxScore
38 - 2023-02-04	211	New York Rangers	5	Philadelphia Flyers	3	BL			BoxScore
40 - 2023-02-06	224	Florida Panthers	2	Philadelphia Flyers	5	BW			BoxScore
42 - 2023-02-08	239	Philadelphia Flyers	4	Florida Panthers	3	AW			BoxScore
45 - 2023-02-11	248	Quebec Nordiques	1	Philadelphia Flyers	2	BW	X		BoxScore
48 - 2023-02-14	260	Philadelphia Flyers	6	Boston Bruins	3	AW			BoxScore
51 - 2023-02-17	272	Pittsburgh Penguins	2	Philadelphia Flyers	3	BW	X	X	BoxScore
54 - 2023-02-20	284	Philadelphia Flyers	2	Seattle Kraken	1	AW			BoxScore
57 - 2023-02-23	292	Los Angeles Kings	1	Philadelphia Flyers	2	BW			BoxScore
59 - 2023-02-25	304	Philadelphia Flyers	4	Anaheim Mighty Ducks	2	AW			BoxScore
61 - 2023-02-27	313	New York Rangers	3	Philadelphia Flyers	2	BL	X		BoxScore
62 - 2023-02-28	316	Philadelphia Flyers	4	New York Rangers	2	AW			BoxScore
67 - 2023-03-05	346	Edmonton Oilers	3	Philadelphia Flyers	4	BW	X	X	BoxScore
69 - 2023-03-07	358	Philadelphia Flyers	5	Dallas Stars	4	AW	X		BoxScore
71 - 2023-03-09	370	Philadelphia Flyers	4	Vegas Golden Knights	2	AW			BoxScore
73 - 2023-03-11	382	Montreal Canadiens	3	Philadelphia Flyers	1	BL			BoxScore
75 - 2023-03-13	394	Philadelphia Flyers	2	Toronto Maple Leafs	3	AL	X	X	BoxScore
77 - 2023-03-15	406	Hamilton Mustangs	3	Philadelphia Flyers	4	BW	X	X	BoxScore
79 - 2023-03-17	412	Columbus Blue Jackets	5	Philadelphia Flyers	6	BW	X		BoxScore
81 - 2023-03-19	425	Philadelphia Flyers	2	Colorado Avalanche	3	AL			BoxScore
83 - 2023-03-21	438	Colorado Avalanche	2	Philadelphia Flyers	5	BW			BoxScore
85 - 2023-03-23	448	Philadelphia Flyers	2	Chicago Blackhawks	0	AW			BoxScore
87 - 2023-03-25	458	St Louis Blues	1	Philadelphia Flyers	2	BW			BoxScore
89 - 2023-03-27	471	Minnesota Wild	1	Philadelphia Flyers	3	BW			BoxScore
92 - 2023-03-30	483	Carolina Hurricanes	0	Philadelphia Flyers	4	BW			BoxScore
96 - 2023-04-03	495	Tampa Bay Lightning	1	Philadelphia Flyers	5	BW			BoxScore
100 - 2023-04-07	514	Philadelphia Flyers	1	Minnesota Wild	2	AL			BoxScore
103 - 2023-04-10	532	Philadelphia Flyers	2	Columbus Blue Jackets	4	AL			BoxScore
104 - 2023-04-11	538	Columbus Blue Jackets	4	Philadelphia Flyers	2	BL			BoxScore
107 - 2023-04-14	549	St Louis Blues	2	Philadelphia Flyers	3	BW	X	X	BoxScore
109 - 2023-04-16	560	Chicago Blackhawks	4	Philadelphia Flyers	3	BL	X		BoxScore
111 - 2023-04-18	568	Dallas Stars	1	Philadelphia Flyers	3	BW			BoxScore
113 - 2023-04-20	580	Philadelphia Flyers	4	Montreal Canadiens	1	AW			BoxScore
115 - 2023-04-22	592	Philadelphia Flyers	7	Edmonton Oilers	2	AW			BoxScore
118 - 2023-04-25	602	Philadelphia Flyers	1	New York Islanders	5	AL			BoxScore
120 - 2023-04-27	613	Minnesota Wild	3	Philadelphia Flyers	1	BL			BoxScore
123 - 2023-04-30	630	Philadelphia Flyers	3	Colorado Avalanche	1	AW			BoxScore
125 - 2023-05-02	637	Philadelphia Flyers	2	St Louis Blues	3	AL			BoxScore
128 - 2023-05-05	650	Philadelphia Flyers	2	Minnesota Wild	5	AL			BoxScore
130 - 2023-05-07	662	Philadelphia Flyers	2	New York Islanders	4	AL			BoxScore
132 - 2023-05-09	676	Philadelphia Flyers	1	Quebec Nordiques	0	AW	X		BoxScore
134 - 2023-05-11	688	Boston Bruins	3	Philadelphia Flyers	1	BL			BoxScore
136 - 2023-05-13	700	Philadelphia Flyers	2	Pittsburgh Penguins	6	AL			BoxScore
138 - 2023-05-15	712	Toronto Maple Leafs	1	Philadelphia Flyers	2	BW			BoxScore
141 - 2023-05-18	730	Philadelphia Flyers	1	Los Angeles Kings	3	AL			BoxScore
143 - 2023-05-20	744	Seattle Kraken	2	Philadelphia Flyers	3	BW			BoxScore
144 - 2023-05-21	748	Anaheim Mighty Ducks	1	Philadelphia Flyers	2	BW			BoxScore
146 - 2023-05-23	760	Vegas Golden Knights	4	Philadelphia Flyers	3	BL	X		BoxScore
149 - 2023-05-26	778	Philadelphia Flyers	2	Hamilton Mustangs	3	AL	X	X	BoxScore
152 - 2023-05-29	786	Philadelphia Flyers	2	Chicago Blackhawks	4	AL			BoxScore
154 - 2023-05-31	796	Philadelphia Flyers	2	St Louis Blues	5	AL			BoxScore
157 - 2023-06-03	808	Detroit Red Wings	3	Philadelphia Flyers	2	BL			BoxScore
160 - 2023-06-06	820	Chicago Blackhawks	2	Philadelphia Flyers	3	BW	X		BoxScore
162 - 2023-06-08	832	Philadelphia Flyers	3	Detroit Red Wings	5	AL			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
165 - 2023-06-11	842	Florida Panthers	1	Philadelphia Flyers	2	BW			BoxScore
166 - 2023-06-12	848	Philadelphia Flyers	3	Florida Panthers	4	AL	X		BoxScore
169 - 2023-06-15	868	Philadelphia Flyers	4	New York Rangers	2	AW			BoxScore
171 - 2023-06-17	879	Philadelphia Flyers	3	Tampa Bay Lightning	5	AL			BoxScore
172 - 2023-06-18	885	Tampa Bay Lightning	1	Philadelphia Flyers	2	BW			BoxScore
176 - 2023-06-22	902	New York Islanders	2	Philadelphia Flyers	1	BL	X	X	BoxScore
179 - 2023-06-25	921	Carolina Hurricanes	1	Philadelphia Flyers	3	BW			BoxScore
180 - 2023-06-26	933	Philadelphia Flyers	6	Carolina Hurricanes	3	AW			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Capacity	5940	4860	1980	3960	1260
Ticket Price	93	52	32	25	188
Attendance	221,886	180,514	73,108	147,911	46,628
Attendance PCT	95.78%	95.24%	94.67%	95.77%	94.89%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	17181 - 95.45%	1,149,370$	44,825,421$	18000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
72,131,320$	79,796,332$	79,996,332$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
0$	72,131,320$	0$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	1	440,864$	440,864$

Team Total Estimate
Estimated Season Expenses	Current Bank Account	Projected Bank Account
450,683$	98,587,571$	98,136,888$

Depth Chart

Left Wing

Center

Right Wing

Elias Pettersson	AGE:23	PO:0	OV:80
Dan Sexton	AGE:35	PO:0	OV:72
Craig Smith	AGE:32	PO:0	OV:71
Daniel Sprong	AGE:25	PO:0	OV:70
Andrew Ladd	AGE:36	PO:0	OV:69
Luke Glendening	AGE:33	PO:0	OV:69
Brian Gibbons	AGE:34	PO:0	OV:68
Riley Tufte (R)	AGE:24	PO:0	OV:63

Connor McDavid	AGE:25	PO:0	OV:83
Sean Couturier	AGE:29	PO:0	OV:78
Markus Granlund	AGE:29	PO:0	OV:75
Derek Ryan	AGE:35	PO:0	OV:69
Andrew Miller	AGE:33	PO:0	OV:68
Morgan Geekie (R)	AGE:23	PO:0	OV:67
Jake Leschyshyn (R)	AGE:23	PO:0	OV:67
Jack McBain (R)	AGE:22	PO:0	OV:66
Pierre-Cedric Labrie	AGE:35	PO:0	OV:65

Magnus Paajarvi	AGE:31	PO:0	OV:76
Viktor Arvidsson	AGE:29	PO:0	OV:76
Sven Baertschi	AGE:29	PO:0	OV:75
Pavel Buchnevich	AGE:27	PO:0	OV:72
Alexander Radulov	AGE:35	PO:0	OV:70
Brad Richardson	AGE:37	PO:0	OV:69
Vladimir Sobotka	AGE:34	PO:0	OV:69
Taylor Raddysh (R)	AGE:24	PO:0	OV:68
Nathan Bastian (R)	AGE:24	PO:0	OV:67
Matthew Highmore	AGE:26	PO:0	OV:66

Defense #1

Defense #2

Goalie

Colton Parayko	AGE:29	PO:0	OV:79
Olli Maatta	AGE:27	PO:0	OV:78
Victor Hedman	AGE:31	PO:0	OV:77
Haydn Fleury	AGE:25	PO:0	OV:75
Sami Vatanen	AGE:31	PO:0	OV:75
Torey Krug	AGE:31	PO:0	OV:73
Mattias Samuelsson (R)	AGE:22	PO:0	OV:72
Nate Schmidt	AGE:30	PO:0	OV:71

Trevor van Riemsdyk	AGE:30	PO:0	OV:71
Andrew MacWilliam	AGE:32	PO:0	OV:70
Jake Bean (R)	AGE:24	PO:0	OV:70
Erik Brannstrom (R)	AGE:22	PO:0	OV:68
Thomas Harley (R)	AGE:20	PO:0	OV:68
Connor Mackey	AGE:25	PO:0	OV:66
Adam Clendening	AGE:29	PO:0	OV:64
Guillaume Brisebois (R)	AGE:24	PO:0	OV:61

Martin Jones	AGE:32	PO:0	OV:80
Mike Smith	AGE:40	PO:0	OV:76
Thomas Greiss	AGE:36	PO:0	OV:75
Daniel Taylor	AGE:36	PO:0	OV:74
Christopher Gibson	AGE:29	PO:0	OV:70
HUNTER JONES	AGE:21	PO:0	OV:70

Prospects

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Prospect	Team Name	Draft Year	Overall Pick	Lien
0x RFA Tag (Connor McDavid Y26)	Philadelphia Flyers
0x TC PTS	Philadelphia Flyers
3x 8th Round Draft Picks (Any Year)	Philadelphia Flyers
Aleksei Kolosov	Philadelphia Flyers	21	49	Link
Brandon Coe	Philadelphia Flyers	20	95
Calle Odelius	Philadelphia Flyers	22	82	Link
Christian Kyrou	Philadelphia Flyers	22	66	Link
Cole O'Hara	Philadelphia Flyers	22	149	Link
Cole Spicer	Philadelphia Flyers	22	128	Link
Conner Roulette	Philadelphia Flyers	21	137	Link
Cutter Gauthier	Philadelphia Flyers	22	3	Link
Elias Pettersson (D)	Philadelphia Flyers	22	113	Link
Erik Portillo	Philadelphia Flyers	19	61
Filip Johansson	Philadelphia Flyers	18	66
Graeme Clark	Philadelphia Flyers	29	62
Hunter Jones	Philadelphia Flyers	19	96	Link
Isaak Phillips	Philadelphia Flyers	20	135
Ivan Morozov	Philadelphia Flyers	18	97
Ivan Zhigalov	Philadelphia Flyers	22	87	Link
John Farinacci	Philadelphia Flyers	19	58
Maxim Barbashev	Philadelphia Flyers	22	153	Link
Nikita Alexandrov	Philadelphia Flyers	19	51
Oliver Kapanen	Philadelphia Flyers	21	122	Link
Patrick Moynihan	Philadelphia Flyers	19	84
Redmond Savage	Philadelphia Flyers	21	140	Link
Rieger Lorenz	Philadelphia Flyers	22	55	Link
Ryan Winterton	Philadelphia Flyers	21	92	Link
Ryder Donovan	Philadelphia Flyers	19	110
Samuel Bolduc	Philadelphia Flyers	19	133
Samuel Helenius	Philadelphia Flyers	21	48	Link
Samuel Savoie	Philadelphia Flyers	22	107	Link
Sean Farrell	Philadelphia Flyers	20	119
Ty Ronning	Philadelphia Flyers	18	117
Ty Smilanic	Philadelphia Flyers	20	74
Tyler Brennan	Philadelphia Flyers	22	79	Link
Vladislav Firstov	Philadelphia Flyers	19	44
William Stromgren	Philadelphia Flyers	21	43	Link
Zachary Gallant	Philadelphia Flyers	17	73
Zack Ostapchuk	Philadelphia Flyers	21	68	Link

Draft Picks

Year	R1	R2	R3	R4	R5	R6	R7
23
24
25
26
27

STHS News Database File Not Found. Please create one from the League News Management or the STHS.

Philadelphia Flyers Trade History

[7/6/2023 10:31:49 AM] $3,339,111 was added to Philadelphia Flyers bank account.
[7/6/2023 10:24:22 AM] Successfully loaded Philadelphia Flyers lines done with Web Base Client and SQLite Database from IP:2607:fea8:2843:5300:40b3:3997:a43:ce2c .
[7/4/2023 1:59:48 PM] $5,250,000 was added to Philadelphia Flyers bank account.
[7/4/2023 10:47:36 AM] Successfully loaded Philadelphia Flyers lines done with Web Base Client and SQLite Database from IP:76.64.230.19 .
[7/4/2023 10:47:36 AM] Nate Schmidt of Philadelphia Flyers was sent down to farm.
[7/2/2023 10:52:49 AM] Pavel Buchnevich from Philadelphia Flyers is back from Broken Right Thumb Injury.
[7/2/2023 10:49:29 AM] Successfully loaded Philadelphia Flyers lines done with Web Base Client and SQLite Database from IP:2605:b100:34f:872c:4c6d:9896:4880:f8b8 .
[7/1/2023 9:04:04 AM] Alexander Radulov from Lehigh Valley Phantoms is back from Exhaustion.
[6/30/2023 11:03:04 AM] Alexander Radulov from Lehigh Valley Phantoms is injured from Exhaustion.
[6/30/2023 11:02:58 AM] Auto Lines Function has been run for Lehigh Valley Phantoms.
[6/30/2023 11:02:58 AM] Lehigh Valley Phantoms (Philadelphia Flyers) lines errors : Normal line # 1 Defense #1 is empty. Normal line # 1 Defense #1 is empty. Unknown Player is used twice in Normal line #1 Normal line # 3 RW is empty. Normal line # 3 Defense #3 is empty. Unknown Player is used twice in Normal line #3 Normal line # 4 Defense #4 is empty. Normal line # 4 Defense #4 is empty. Unknown Player is used twice in Normal line #4 Unknown Player is used twice in normal lines 1 and 3. Unknown Player is used twice in normal lines 1 and 3. PP line 1 Defense #1 is empty. PK line 1 Defense #1 is empty. 4 vs 4 line 1 Defense #1 is empty. PK3 line 1 Defense #1 is empty. PP line 1 Defense #1 is empty. PK line 1 Defense #1 is empty. 4 vs 4 line 1 Defense #1 is empty. PK3 line 1 Defense #1 is empty. Unknown Player is used twice PP in line#1 Unknown Player is used twice PK in line#1 Unknown Player is used twice 4 vs 4 in line#1 Unknown Player is used twice PK3 in line#1 LastMinDef line Defense is empty. LastMinOff line Defense is empty. LastMinDef line Defense is empty. Unknown Player is used twice in LastMinDef line Extra Defense #1 is empty. Extra Forward #2 is empty. Extra Defense #4 is empty. Extra Forward #5 is empty. OT Defense #1 is empty. OT Defense #2 is empty. OT Defense #5 is empty. Unknown Player is used twice in OT Defense Unknown Player is used twice in OT Defense Starting Goalie is empty.
[6/29/2023 10:06:39 AM] Nathan Bastian from Lehigh Valley Phantoms is back from Right Knee Injury.
[6/29/2023 10:06:37 AM] Game 879 - Thomas Harley from Lehigh Valley Phantoms is injured (Bruised Right Shoulder) and is out for 2 months.
[6/29/2023 10:06:36 AM] Game 879 - Nathan Bastian from Lehigh Valley Phantoms is injured (Right Knee) and is out for 5 days.

Brad Richardson is out for 1 month because of a Left Eye Injury.
Thomas Harley is out for 1 month because of a Bruised Right Shoulder Injury.

Philadelphia Flyers Players Stat Leaders (Regular Season)

Show or Hide Column

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Philadelphia Flyers Goalies Stat Leaders (Regular Season)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Philadelphia Flyers Career Team Stats

Show or Hide Column

	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT

Philadelphia Flyers Players Stat Leaders (Play-Off)

Show or Hide Column

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Philadelphia Flyers Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Philadelphia Flyers
	GP: 78 \| W: 44 \| L: 25 \| OTL: 9 \| P: 132 GF: 226 \| GA: 205 \| PP%: 21.05% \| PK%: 85.91% GM : Brad \| Morale : 40 \| Team Overall : 75