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Philadelphia Flyers
GP: 33 | W: 16 | L: 14 | OTL: 3 | P: 49
GF: 94 | GA: 90 | PP%: 20.83% | PK%: 81.36%
GM : Brad | Morale : 40 | Team Overall : 75
Next Games #464 vs Tampa Bay Lightning

Game Center
St Louis Blues
18-11-4, 57pts
1
3 Philadelphia Flyers
16-14-3, 49pts
Team Stats
L2StreakL1
9-7-2Home Record9-7-1
9-4-2Away Record7-7-2
6-4-0Last 10 Games5-4-1
2.97Goals Per Game2.85
2.48Goals Against Per Game2.73
18.25%Power Play Percentage20.83%
79.63%Penalty Kill Percentage81.36%
Columbus Blue Jackets
21-8-4, 63pts
3
1 Philadelphia Flyers
16-14-3, 49pts
Team Stats
W2StreakL1
12-4-1Home Record9-7-1
9-4-3Away Record7-7-2
5-4-1Last 10 Games5-4-1
2.73Goals Per Game2.85
2.12Goals Against Per Game2.73
18.66%Power Play Percentage20.83%
89.77%Penalty Kill Percentage81.36%
Tampa Bay Lightning
18-9-6, 56pts
Day 83
Philadelphia Flyers
16-14-3, 49pts
Team Stats
W1StreakL1
11-4-2Home Record9-7-1
7-5-4Away Record7-7-2
6-2-2Last 10 Games5-4-1
2.85Goals Per Game2.85
2.27Goals Against Per Game2.85
21.54%Power Play Percentage20.83%
85.51%Penalty Kill Percentage81.36%
Philadelphia Flyers
16-14-3, 49pts
Day 85
New York Islanders
17-15-1, 48pts
Team Stats
L1StreakW1
9-7-1Home Record7-7-1
7-7-2Away Record10-8-0
5-4-1Last 10 Games6-4-0
2.85Goals Per Game2.42
2.73Goals Against Per Game2.42
20.83%Power Play Percentage16.67%
81.36%Penalty Kill Percentage79.09%
New York Rangers
13-14-6, 43pts
Day 88
Philadelphia Flyers
16-14-3, 49pts
Team Stats
L1StreakL1
4-9-3Home Record9-7-1
9-5-3Away Record7-7-2
4-5-1Last 10 Games5-4-1
2.45Goals Per Game2.85
2.76Goals Against Per Game2.85
19.40%Power Play Percentage20.83%
81.37%Penalty Kill Percentage81.36%
Team Leaders
Elias PetterssonGoals
Elias Pettersson
16
Assists
Connor McDavid
20
Points
Connor McDavid
35
Plus/Minus
Nick Leddy
9
Wins
Ville Husso
10
Save Percentage
Vitek Vanecek
0.924

Team Stats
Goals For
94
2.85 GFG
Shots For
1015
30.76 Avg
Power Play Percentage
20.8%
25 GF
Offensive Zone Start
38.2%
Goals Against
90
2.73 GAA
Shots Against
1027
31.12 Avg
Penalty Kill Percentage
81.4%%
22 GA
Defensive Zone Start
38.8%
Team Info

General ManagerBrad
DivisionNortheast Division
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

NameWells Fargo Center
Capacity18,000
Attendance14,329
Season Tickets7,740


Roster Info

Pro Team21
Farm Team26
Contract Limit47 / 250
Prospects59


Finance

Year to Date Revenue17,702,929$
Year To Date Expenses29,369,101$
Estimated Season Revenue23,951,022$
Estimated Season Expenses39,026,324$
Current Bank Account139,845,217$
Projected Bank Account125,551,349$


Filter Tips
PriorityTypeDescription
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
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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
10textAny 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 SPAgeContractSalary
1Connor McDavid0X99.0080498792769799939995907988778255408402815,333,333$
2Elias Pettersson0X97.00644292997294979092909074867377404082N02636,650,000$
3Brock Boeser0X100.0074498493729191856790907086778055408002818,280,333$
4Brendan Gallagher0X100.0085448290509294816779917180816655407703312,950,000$
5Jeff Skinner0X100.0081468387649088827281867176816755407703324,100,000$
6Michael Rasmussen0X100.0093537977998786748278757272737455407502631,850,000$
7Vinnie Hinostroza0X100.0074358387538484737077706974806455407203112,900,000$
8Andrei Loktionov0X100.0057438683558284747875736171847655407103521,800,000$
9Evgenii Dadonov0X100.0085407779568383696076776472847755407103613,650,500$
10Brett Connolly0X100.0089507574738577706370707072816455407003311,100,000$
11Jake Leschyshyn0X100.007848807570798766786867746877775540700264800,000$
12Nicklas Backstrom0X100.006446726671828174667270616986805540690371875,000$
13Haydn Fleury0X97.0075528884858383835089708170778355407802821,950,000$
14Nikita Zaitsev0X97.0090467979848989745076637963818255407703321,750,000$
15Dmitry Kulikov0X100.0079488479829091715075627769817455407503413,005,000$
16Jake Bean0X100.0060388591787979815080677971727655407502732,000,000$
17Colin Miller0X100.0076497676828288745077667365807355407303212,500,000$
18Nick Leddy0X100.0053469083818689675071647567828155407303421,850,000$
Scratches
1Jakub Zboril0X100.0082468482808282775278667766778255407602821,935,000$
Farm Team
1Gaetan Haas0X100.007544688265777668737171667381695540690332850,000$
2Lance Bouma0X100.0081487666788182677171696369847555406903511,150,000$
3Nathan Bastian0X100.009256657592747262746466716874745540690271600,000$
4Stephane Da Costa0X100.006537798056777768757369637384765540690351955,000$
5JAAKKO RISSANEN0X98.205138697371606074707566697084935240680351500,500$
6BRIAN O'NEILL0X99.005233707857606069767266676988945240670371250,000$
7LUKAS ELVENES0X98.005333588667606072697962607169695240670251350,000$
8Michael Frolik0X100.005341757371767666646968596786765540670371500,000$
9Yanni Gourde0X99.006039738546807765706769657281655540670331900,000$
10Ryan Winterton (R)0X100.006046807883707860546062736563685540660212800,000$
11Michael Pezzetta0X100.009768556379727760676362666176725540650272950,000$
12Tim Gettinger0X100.007354776290687360686063726174725540650272600,000$
13Isaak Phillips (R)0X99.007858837789778569507264716468815540720231500,000$
14Justin Holl0X99.005546837986788371507067756581805540720331950,000$
15Cale Fleury0X100.007552837288748067526462726073835540710264624,000$
16Samuel Bolduc (R)0X100.007156827096758067506665716170815540710241600,000$
17Raphael Diaz0X100.0054428769687575655769596560908055406703911,000,000$
18Guillaume Brisebois0X100.005539858752696863506361676374655540660273500,000$
19JONATHAN ANG0X88.825329608760606071707472647572725240680271300,000$
20VILJAMI MARJALA0X90.915433738767606073647863637262625240670221275,000$
21Riley Tufte0X100.005657706297697460706263736274715540650273500,000$
22ATRO LEPPANEN0X100.005543788974606072487971687171815240700261510,000$
23LINUS HULTSTROM0X100.005445787768606071487968676778875240680321250,000$
24Connor Mackey0X100.0065504079786969675069636562756655406702811,667,000$
TEAM AVERAGE99.11694677797477787164746970697876544071
Filter Tips
PriorityTypeDescription
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
10textAny 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 TA SPAgeContractSalary
1Vitek Vanecek099.008880838283828383838282786455407902912,250,000$
2Ville Husso097.007775788481818282828180796355407703034,000,000$
Scratches
Farm Team
1Keith Kinkaid099.007971718277787977777878856755407503521,250,000$
2CLAY STEVENSON096.00726060777674767676757568565040700261250,000$
TEAM AVERAGE97.7579727381797980808079797863544075
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP 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
1Connor McDavidPhiladelphia FlyersC33152035120105883129397711.63%2172822.09551021951011671254.91%10092515000.9612002333
2Elias PetterssonPhiladelphia FlyersLW33161935-4403254120318013.33%1470221.303121517980000643145.21%733511001.0002000522
3Brock BoeserPhiladelphia FlyersRW33121325-124105747106164911.32%962118.8344816941011161146.00%50199000.8011002024
4Jeff SkinnerPhiladelphia FlyersRW33101323-360554486266011.63%1461018.5154915880222343041.94%31208000.7501000003
5Brendan GallagherPhiladelphia FlyersLW3391120-5255575583415410.84%1457017.2924611831013281140.00%20236000.7000100021
6Vinnie HinostrozaPhiladelphia FlyersLW335712312051286019448.33%838311.630000150003311041.67%1296000.6300000110
7Andrei LoktionovPhiladelphia FlyersC335611-29533385427349.26%1048114.591122400005580148.62%32586000.4600001021
8Dmitry KulikovPhiladelphia FlyersD3311011425552502919103.45%3070121.25112766011056000%01317000.3100001000
9Nikita ZaitsevPhiladelphia FlyersD333811-145585504514126.67%6074622.62112423000391010%0928000.2900100100
10Haydn FleuryPhiladelphia FlyersD3101010-412047746024260%4681826.4105512112000394000%01526000.2401000000
11Michael RasmussenPhiladelphia FlyersC33459-4502074504215329.52%1049515.011343571011251044.00%32568000.3600013000
12Brett ConnollyPhiladelphia FlyersLW334486100412428162314.29%43119.44000010111343033.33%944000.5100000012
13Evgenii DadonovPhiladelphia FlyersRW33257125558184818334.17%436010.92011213000160046.67%15116000.3900100000
14Jake BeanPhiladelphia FlyersD2625707517402522148.00%1846517.92213472000147000%0105000.3000001000
15Colin MillerPhiladelphia FlyersD270661215252016790%2138014.10000128011035000%0221000.3200001000
16Jake LeschyshynPhiladelphia FlyersC33246475342020101710.00%42627.9500000000080030.95%8432000.4600010000
17Jakub ZborilPhiladelphia FlyersD23055-64022262214110%1943919.11011148000036000%0114000.2300000000
18Nick LeddyPhiladelphia FlyersD28145940427141397.14%1942815.32000141000017000%068000.2300000000
19Nicklas BackstromPhiladelphia FlyersRW30235512017132811267.14%82428.0800000000001080.00%531000.4100000001
Team Total or Average5949315825143228081976110153826209.16%333975316.422543681179844592575715749.90%1958222201000.51273211101317
Filter Tips
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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Ville HussoPhiladelphia Flyers2310930.9082.6813000258630306200.71472211411
2Vitek VanecekPhiladelphia Flyers136500.9242.60693203039619401001122121
Team Total or Average36161430.9142.651994228810265002173333532


Filter Tips
PriorityTypeDescription
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.
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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
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Country Rookie Weight Height No Trade Available For Trade Acquired ByLast Trade DateForce Waivers Waiver Possible Contract Contract Signature DateForce UFA Emergency Recall Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Andrei Loktionov (1 Way Contract)Philadelphia FlyersC351990-05-30RUSNo180 Lbs5 ft10NoNoFree AgentNoNo22025-10-19FalseFalsePro & Farm1,800,000$1,024,468$0$0$No1,800,000$--------1,800,000$--------No--------
Brendan Gallagher (1 Way Contract)Philadelphia FlyersLW331992-05-06CANNo183 Lbs5 ft9NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm2,950,000$1,678,989$0$0$No---------------------------Link
Brett ConnollyPhiladelphia FlyersLW331992-05-02CANNo198 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,100,000$626,064$0$0$No---------------------------
Brock Boeser (1 Way Contract)Philadelphia FlyersRW281997-02-25USANo207 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm8,280,333$4,712,743$0$0$No---------------------------Link
Colin Miller (1 Way Contract)Philadelphia FlyersD321992-10-29CANNo201 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm2,500,000$1,422,872$0$0$No---------------------------Link
Connor McDavid (1 Way Contract)Philadelphia FlyersC281997-01-13CANNo194 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm5,333,333$3,035,461$0$0$No---------------------------Link
Dmitry Kulikov (1 Way Contract)Philadelphia FlyersD341990-10-29RUSNo198 Lbs6 ft1NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm3,005,000$1,710,293$0$0$No---------------------------Link
Elias Pettersson (1 Way Contract)Philadelphia FlyersLW261998-11-12SWENo185 Lbs6 ft2YesNoAssign ManuallyNoNo32025-09-30FalseFalsePro Only6,650,000$3,784,840$0$0$No6,650,000$6,650,000$-------6,650,000$6,650,000$-------YesYes-------Link / NHL Link
Evgenii Dadonov (1 Way Contract)Philadelphia FlyersRW361989-03-12RUSNo185 Lbs5 ft11NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm3,650,500$2,077,678$0$0$No---------------------------Link
Haydn FleuryPhiladelphia FlyersD281996-07-08CANNo207 Lbs6 ft3NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,950,000$1,109,840$0$0$No1,950,000$--------1,950,000$--------No--------Link
Jake BeanPhiladelphia FlyersD271998-06-09CANNo176 Lbs6 ft1NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm2,000,000$1,138,298$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Link
Jake LeschyshynPhiladelphia FlyersC261999-03-10USANo195 Lbs5 ft11NoNoFree AgentNoNo42025-11-01FalseFalsePro & Farm800,000$455,319$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------Link
Jakub ZborilPhiladelphia FlyersD281997-02-21CZENo201 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,935,000$1,101,303$0$0$No1,935,000$--------1,935,000$--------No--------Link
Jeff Skinner (1 Way Contract)Philadelphia FlyersRW331992-05-16CANNo196 Lbs5 ft11NoNoFree AgentNoNo22025-10-03FalseFalsePro & Farm4,100,000$2,333,511$0$0$No4,100,000$--------4,100,000$--------No--------Link
Michael RasmussenPhiladelphia FlyersC261999-04-17CANNo212 Lbs6 ft6NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,850,000$1,052,926$0$0$No1,850,000$1,850,000$-------1,850,000$1,850,000$-------NoNo-------Link
Nick Leddy (1 Way Contract)Philadelphia FlyersD341991-03-20USANo205 Lbs6 ft0NoNoFree AgentNoNo22025-10-21FalseFalsePro & Farm1,850,000$1,052,926$0$0$No1,850,000$--------1,850,000$--------No--------Link
Nicklas Backstrom (1 Way Contract)Philadelphia FlyersRW371987-11-23SWENo203 Lbs6 ft0NoNoFree AgentNoNo12025-10-24FalseFalsePro & Farm875,000$498,005$0$0$No---------------------------Link
Nikita Zaitsev (1 Way Contract)Philadelphia FlyersD331991-10-29RUSNo192 Lbs6 ft2NoNoFree AgentNoNo22025-10-10FalseFalsePro & Farm1,750,000$996,011$0$0$No1,750,000$--------1,750,000$--------No--------Link
Ville Husso (1 Way Contract)Philadelphia FlyersG301995-02-06FINNo209 Lbs6 ft3NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm4,000,000$2,276,596$0$0$No4,000,000$4,000,000$-------4,000,000$4,000,000$-------NoNo-------Link
Vinnie Hinostroza (1 Way Contract)Philadelphia FlyersLW311994-04-03USANo176 Lbs5 ft10NoNoFree AgentNoNo12025-10-14FalseFalsePro & Farm2,900,000$1,650,532$0$0$No---------------------------Link
Vitek VanecekPhiladelphia FlyersG291996-01-09CZENo183 Lbs6 ft2NoNoFree AgentNoNo12025-10-17FalseFalsePro & Farm2,250,000$1,280,585$0$0$No---------------------------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2130.81195 Lbs6 ft11.812,929,960$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
61,529,166$28,685,000$15,300,000$800,000$0$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Elias PetterssonConnor McDavidJeff Skinner40122
2Brendan GallagherMichael RasmussenBrock Boeser30122
3Vinnie HinostrozaAndrei LoktionovEvgenii Dadonov20122
4Brett ConnollyJake LeschyshynNicklas Backstrom10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Haydn FleuryNikita Zaitsev40122
2Jake BeanDmitry Kulikov30122
3Nick LeddyColin Miller20122
4Haydn FleuryNikita Zaitsev10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Elias PetterssonConnor McDavidBrock Boeser60122
2Brendan GallagherMichael RasmussenJeff Skinner40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Haydn FleuryNikita Zaitsev60122
2Jake BeanDmitry Kulikov40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Connor McDavidElias Pettersson60122
2Brock BoeserJeff Skinner40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Haydn FleuryNikita Zaitsev60122
2Jake BeanDmitry Kulikov40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Connor McDavid60122Haydn FleuryNikita Zaitsev60122
2Elias Pettersson40122Jake BeanDmitry Kulikov40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Connor McDavidElias Pettersson60122
2Brock BoeserJeff Skinner40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Haydn FleuryNikita Zaitsev60122
2Jake BeanDmitry Kulikov40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Elias PetterssonConnor McDavidBrock BoeserHaydn FleuryNikita Zaitsev
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Elias PetterssonConnor McDavidBrock BoeserHaydn FleuryNikita Zaitsev
Extra Forwards
Normal PowerPlayPenalty Kill
Vinnie Hinostroza, Evgenii Dadonov, Andrei LoktionovVinnie Hinostroza, Evgenii DadonovAndrei Loktionov
Extra Defensemen
Normal PowerPlayPenalty Kill
Nick Leddy, Colin Miller, Jake BeanNick LeddyColin Miller, Jake Bean
Penalty Shots
Connor McDavid, Elias Pettersson, Brock Boeser, Jeff Skinner, Brendan Gallagher
Goalie
#1 : Ville Husso, #2 : Vitek Vanecek
Custom OT Lines Forwards
Connor McDavid, Elias Pettersson, Brock Boeser, Jeff Skinner, Brendan Gallagher, Michael Rasmussen, Vinnie Hinostroza, Evgenii Dadonov, Andrei Loktionov, Jake Leschyshyn
Custom OT Lines Defensemen
Haydn Fleury, Nikita Zaitsev, Jake Bean, Dmitry Kulikov, Nick Leddy


Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
OverallHomeVisitor
# 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
1Anaheim Mighty Ducks1010000034-1000000000001010000034-100.00034700102019105403010122310110.00%60100.00%037374350.20%36675548.48%23844653.36%1992110189
2Boston Bruins2010010057-21000010023-11010000034-110.16758130022106325182007014144411218.18%7442.86%137374350.20%36675548.48%23844653.36%482942173217
3California Golden Seals1010000035-21010000035-20000000000000.00035800102024106802981424100.00%7357.14%037374350.20%36675548.48%23844653.36%2010229178
4Carolina Hurricanes2110000067-1110000003211010000035-230.50061218102400571627140811813456233.33%40100.00%037374350.20%36675548.48%23844653.36%422642163417
5Chicago Blackhawks1000000123-1000000000001000000123-110.333246001011339121242958362150.00%40100.00%037374350.20%36675548.48%23844653.36%2313239188
6Colorado Avalanche1010000012-11010000012-10000000000000.0001230001003310131003611520100.00%000%037374350.20%36675548.48%23844653.36%2214218168
7Columbus Blue Jackets1010000013-21010000013-20000000000000.00011200001031419803212832300.00%4175.00%037374350.20%36675548.48%23844653.36%2213219167
8Detroit Red Wings11000000202110000002020000000000031.0002460101103112811025523304125.00%40100.00%037374350.20%36675548.48%23844653.36%2313188179
9Edmonton Oilers10001000431000000000001000100043120.6674610000211381313111307032200.00%000%037374350.20%36675548.48%23844653.36%2314217168
10Florida Panthers2110000034-11010000013-21100000021130.500347000120612018230612326515120.00%13376.92%137374350.20%36675548.48%23844653.36%412344183315
11Hamilton Mustangs1010000004-4000000000001010000004-400.000000000000317111304013427100.00%2150.00%037374350.20%36675548.48%23844653.36%2012257147
12Montreal Canadiens22000000945110000003121100000063361.00091726004410663114210621627548225.00%7271.43%037374350.20%36675548.48%23844653.36%462841173216
13New Jersey Devils2020000038-51010000024-21010000014-300.00036900003053202310050221557600.00%5260.00%037374350.20%36675548.48%23844653.36%452641173316
14New York Islanders211000002201010000001-11100000021130.500235000020501617170581314474125.00%70100.00%037374350.20%36675548.48%23844653.36%422444173315
15New York Rangers210000101165100000105411100000062450.833111829002441621324234572121429222.22%80100.00%137374350.20%36675548.48%23844653.36%412449183416
16Ottawa Senators1010000037-4000000000001010000037-400.00036900201032166100371520276350.00%5260.00%037374350.20%36675548.48%23844653.36%2112228157
17Pittsburgh Penguins21000100642110000004131000010023-140.66761016001320641823203602625445120.00%10190.00%037374350.20%36675548.48%23844653.36%442546193316
18Quebec Nordiques220000001147110000006241100000052361.0001119300034408120283306222264915213.33%3166.67%037374350.20%36675548.48%23844653.36%503134163419
19Seattle Kraken11000000404110000004040000000000031.00045901112038919100241313224125.00%40100.00%037374350.20%36675548.48%23844653.36%2415198157
20St Louis Blues11000000312110000003120000000000031.000347000120265147039174215240.00%20100.00%037374350.20%36675548.48%23844653.36%2012238157
21Tampa Bay Lightning22000000853110000005411100000031261.00081422004130652221220582116508337.50%80100.00%137374350.20%36675548.48%23844653.36%432540183617
22Toronto Maple Leafs1010000023-11010000023-10000000000000.00023500011022551202213622300.00%3166.67%037374350.20%36675548.48%23844653.36%2212208179
23Winnipeg Jets1010000024-2000000000001010000024-200.000235001100358121503581020100.00%5180.00%037374350.20%36675548.48%23844653.36%2113228168
Total3314140121194904178700110473981667011014751-4490.4959415825212253136310153193563341210273333248191202520.83%1182281.36%437374350.20%36675548.48%23844653.36%732435711293554277
_Since Last GM Reset3314140121194904178700110473981667011014751-4490.4959415825212253136310153193563341210273333248191202520.83%1182281.36%437374350.20%36675548.48%23844653.36%732435711293554277
_Vs Conference231190021069654115400110332851265001003637-1370.536691201891020242417072292352387718237227559871921.84%821779.27%437374350.20%36675548.48%23844653.36%510304496203385194
_Vs Division9530010031265431000001578522001001619-3160.593315586001012902969787109328310510822338821.05%30873.33%037374350.20%36675548.48%23844653.36%2051241917714776

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3349L1941582521015102733332481912
All Games
GPWLOTWOTL SOWSOLGFGA
33141412119490
Home Games
GPWLOTWOTL SOWSOLGFGA
178701104739
Visitor Games
GPWLOTWOTL SOWSOLGFGA
166711014751
Last 10 Games
WLOTWOTL SOWSOL
540100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1202520.83%1182281.36%4
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
319356334122531363
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
37374350.20%36675548.48%23844653.36%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
732435711293554277


Last Played Games
Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
11Toronto Maple Leafs3Philadelphia Flyers2LBox score
315Philadelphia Flyers3Ottawa Senators7LBox score
531Pittsburgh Penguins1Philadelphia Flyers4WBox score
749Philadelphia Flyers3Carolina Hurricanes5LBox score
958Philadelphia Flyers6Montreal Canadiens3WBox score
1172Quebec Nordiques2Philadelphia Flyers6WBox score
1386Philadelphia Flyers0Hamilton Mustangs4LBox score
15101Colorado Avalanche2Philadelphia Flyers1LBox score
18123Detroit Red Wings0Philadelphia Flyers2WBox score
20131Philadelphia Flyers2Chicago Blackhawks3LXXBox score
22141Philadelphia Flyers1New Jersey Devils4LBox score
25155Boston Bruins3Philadelphia Flyers2LXBox score
28169Florida Panthers3Philadelphia Flyers1LBox score
31183Tampa Bay Lightning4Philadelphia Flyers5WBox score
34198Philadelphia Flyers2New York Islanders1WBox score
38217New York Rangers4Philadelphia Flyers5WXXBox score
41231Philadelphia Flyers6New York Rangers2WBox score
44242New York Islanders1Philadelphia Flyers0LBox score
47256Philadelphia Flyers3Tampa Bay Lightning1WBox score
49268Philadelphia Flyers2Florida Panthers1WBox score
52282Philadelphia Flyers3Boston Bruins4LBox score
55296New Jersey Devils4Philadelphia Flyers2LBox score
59311Philadelphia Flyers4Edmonton Oilers3WXBox score
62327Seattle Kraken0Philadelphia Flyers4WBox score
63337Philadelphia Flyers3Anaheim Mighty Ducks4LBox score
65351California Golden Seals5Philadelphia Flyers3LBox score
67365Philadelphia Flyers5Quebec Nordiques2WBox score
69381Montreal Canadiens1Philadelphia Flyers3WBox score
71395Carolina Hurricanes2Philadelphia Flyers3WBox score
73409Philadelphia Flyers2Pittsburgh Penguins3LXBox score
77430Philadelphia Flyers2Winnipeg Jets4LBox score
79443St Louis Blues1Philadelphia Flyers3WBox score
81457Columbus Blue Jackets3Philadelphia Flyers1LBox score
83464Tampa Bay Lightning-Philadelphia Flyers-
85478Philadelphia Flyers-New York Islanders-
88492New York Rangers-Philadelphia Flyers-
92513Philadelphia Flyers-Los Angeles Kings-
93520Los Angeles Kings-Philadelphia Flyers-
95534Vancouver Canucks-Philadelphia Flyers-
98555Philadelphia Flyers-Vancouver Canucks-
100569Philadelphia Flyers-Vegas Golden Knights-
102583San Jose Sharks-Philadelphia Flyers-
105599Ottawa Senators-Philadelphia Flyers-
107610Philadelphia Flyers-Toronto Maple Leafs-
111628Hamilton Mustangs-Philadelphia Flyers-
113631Philadelphia Flyers-New Jersey Devils-
116650Boston Bruins-Philadelphia Flyers-
120670Florida Panthers-Philadelphia Flyers-
122680Anaheim Mighty Ducks-Philadelphia Flyers-
124699Philadelphia Flyers-Seattle Kraken-
126712Edmonton Oilers-Philadelphia Flyers-
128723Chicago Blackhawks-Philadelphia Flyers-
129731Philadelphia Flyers-Detroit Red Wings-
131745Philadelphia Flyers-Colorado Avalanche-
134758Philadelphia Flyers-Quebec Nordiques-
136772Montreal Canadiens-Philadelphia Flyers-
138791Philadelphia Flyers-Carolina Hurricanes-
140801Pittsburgh Penguins-Philadelphia Flyers-
144819Philadelphia Flyers-California Golden Seals-
147836Winnipeg Jets-Philadelphia Flyers-
149845Philadelphia Flyers-St Louis Blues-
151855Philadelphia Flyers-Columbus Blue Jackets-
154880Vegas Golden Knights-Philadelphia Flyers-
156892Philadelphia Flyers-San Jose Sharks-
159905Philadelphia Flyers-Tampa Bay Lightning-
161920New York Islanders-Philadelphia Flyers-
163933Philadelphia Flyers-New York Rangers-
165947Philadelphia Flyers-Florida Panthers-
167961Philadelphia Flyers-Boston Bruins-
169975New Jersey Devils-Philadelphia Flyers-
Trade Deadline --- Trades can’t be done after this day is simulated!
172990Quebec Nordiques-Philadelphia Flyers-
1741004Philadelphia Flyers-Montreal Canadiens-
1761020Carolina Hurricanes-Philadelphia Flyers-
1781032Philadelphia Flyers-Pittsburgh Penguins-
1801037Philadelphia Flyers-Ottawa Senators-
1811051Ottawa Senators-Philadelphia Flyers-
1831065Philadelphia Flyers-Toronto Maple Leafs-
1841079Toronto Maple Leafs-Philadelphia Flyers-
1861094Philadelphia Flyers-Hamilton Mustangs-
1871111Hamilton Mustangs-Philadelphia Flyers-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity59404860198039601260
Ticket Price92513023186
Attendance80,81363,06929,19253,33817,176
Attendance PCT80.03%76.34%86.73%79.23%80.19%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
23 14329 - 79.60% 1,041,349$17,702,929$18000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches SalariesSpecial Salary Cap Value
29,369,101$ 68,569,666$ 0$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
0$ 29,369,101$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
23,951,022$ 107 364,732$ 39,026,324$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
39,626,273$ 139,845,217$ 125,551,349$



Depth Chart

Left WingCenterRight Wing
Elias PetterssonAGE:26PO:40OV:82
Brendan GallagherAGE:33PO:55OV:77
Vinnie HinostrozaAGE:31PO:55OV:72
Brett ConnollyAGE:33PO:55OV:70
Gaetan HaasAGE:33PO:55OV:69
Michael FrolikAGE:37PO:55OV:67
LUKAS ELVENESAGE:25PO:52OV:67
Michael PezzettaAGE:27PO:55OV:65
Riley TufteAGE:27PO:55OV:65
Connor McDavidAGE:28PO:55OV:84
Michael RasmussenAGE:26PO:55OV:75
Andrei LoktionovAGE:35PO:55OV:71
Jake LeschyshynAGE:26PO:55OV:70
Stephane Da CostaAGE:35PO:55OV:69
JAAKKO RISSANENAGE:35PO:52OV:68
BRIAN O'NEILLAGE:37PO:52OV:67
VILJAMI MARJALAAGE:22PO:52OV:67
Ryan Winterton (R)AGE:21PO:55OV:66
Brock BoeserAGE:28PO:55OV:80
Jeff SkinnerAGE:33PO:55OV:77
Evgenii DadonovAGE:36PO:55OV:71
Lance BoumaAGE:35PO:55OV:69
Nathan BastianAGE:27PO:55OV:69
Nicklas BackstromAGE:37PO:55OV:69
JONATHAN ANGAGE:27PO:52OV:68
Yanni GourdeAGE:33PO:55OV:67
Tim GettingerAGE:27PO:55OV:65

Defense #1Defense #2Goalie
Haydn FleuryAGE:28PO:55OV:78
Nikita ZaitsevAGE:33PO:55OV:77
Jakub ZborilAGE:28PO:55OV:76
Dmitry KulikovAGE:34PO:55OV:75
Jake BeanAGE:27PO:55OV:75
Colin MillerAGE:32PO:55OV:73
Nick LeddyAGE:34PO:55OV:73
Isaak Phillips (R)AGE:23PO:55OV:72
Justin HollAGE:33PO:55OV:72
Cale FleuryAGE:26PO:55OV:71
Samuel Bolduc (R)AGE:24PO:55OV:71
ATRO LEPPANENAGE:26PO:52OV:70
LINUS HULTSTROMAGE:32PO:52OV:68
Connor MackeyAGE:28PO:55OV:67
Raphael DiazAGE:39PO:55OV:67
Guillaume BriseboisAGE:27PO:55OV:66
Vitek VanecekAGE:29PO:55OV:79
Ville HussoAGE:30PO:55OV:77
Keith KinkaidAGE:35PO:55OV:75
CLAY STEVENSONAGE:26PO:50OV:70

Prospects

Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
ProspectTeam NameDraft YearOverall PickInformationLast Trade DateLink
0x LTCsPhiladelphia Flyers00
0x RFA Tag (Connor McDavid Y26)Philadelphia Flyers00
0x TC PTSPhiladelphia Flyers00
1 000 000 NSHL25 Waiver BucksPhiladelphia Flyers00
1x NSHL26 ODW ClaimPhiladelphia Flyers00
Aleksei KolosovPhiladelphia Flyers21490Link
Alexis BernierPhiladelphia Flyers241150Link
Andrew GibsonPhiladelphia Flyers23650Link
Arseny RadkovPhiladelphia Flyers25770Link
Artyom GoncharPhiladelphia Flyers251180Link
Brandon CoePhiladelphia Flyers20950Link
Burke HoodPhiladelphia Flyers251610Link
Calle OdeliusPhiladelphia Flyers22820Link
Carter AmicoPhiladelphia Flyers25480Link
Christian KyrouPhiladelphia Flyers22660Link
Cole HutsonPhiladelphia Flyers24410Link
Cole O'HaraPhiladelphia Flyers221490Link
Cole SpicerPhiladelphia Flyers221280Link
Conner RoulettePhiladelphia Flyers211370Link
Conrad FondrkPhiladelphia Flyers25580Link
Elias Pettersson (D)Philadelphia Flyers221130Link
Erik PortilloPhiladelphia Flyers19610Link
Gabriel D'AiglePhiladelphia Flyers251030Link
Graeme ClarkPhiladelphia Flyers19620Link
Henry BrzustewiczPhiladelphia Flyers25460Link
Hunter JonesPhiladelphia Flyers19960Link
Ivan ZhigalovPhiladelphia Flyers22870Link
Jesse KiiskinenPhiladelphia Flyers23700Link
John FarinacciPhiladelphia Flyers19580Link
Kim SaarinenPhiladelphia Flyers241390Link
Kirill ZarubinPhiladelphia Flyers241280Link
Liam PetterssonPhiladelphia Flyers25750Link
Love HarenstamPhiladelphia Flyers251740Link
Lucas PetterssonPhiladelphia Flyers24370Link
Mans GoosPhiladelphia Flyers251430Link
Maxim BarbashevPhiladelphia Flyers221530Link
Michal PradelPhiladelphia Flyers25600Link
Nathaniel DayPhiladelphia Flyers231530Link
Noah ReadPhiladelphia Flyers25850Link
Oliver KapanenPhiladelphia Flyers211220Link
Patrick MoynihanPhiladelphia Flyers19840Link
Quentin MillerPhiladelphia Flyers231380Link
Redmond SavagePhiladelphia Flyers211400Link
Rieger LorenzPhiladelphia Flyers22550Link
Ruslan KhazheyevPhiladelphia Flyers231430Link
Ryan WintertonPhiladelphia Flyers21920Link
Ryder DonovanPhiladelphia Flyers191100Link
Samuel HeleniusPhiladelphia Flyers21480Link
Samuel HonzekPhiladelphia Flyers23240Link
Samuel SavoiePhiladelphia Flyers221070Link
Sean FarrellPhiladelphia Flyers201190Link
Terik ParascakPhiladelphia Flyers24220Link
Tomas LavoiePhiladelphia Flyers241490Link
Ty SmilanicPhiladelphia Flyers20740Link
Tyler BrennanPhiladelphia Flyers22790Link
Vladislav FirstovPhiladelphia Flyers19440Link
William StromgrenPhiladelphia Flyers21430Link
Wilson BjorckPhiladelphia Flyers251890Link
Zack OstapchukPhiladelphia Flyers21680Link

Draft Picks

Year R1R2R3R4R5R6R7
26
27
28
29
30
Conditional Draft Picks




The STHS News Database File was not found or corrupted. Please create one in the League News Management section of the website logged in as a Commissioner.




Philadelphia Flyers Trade History

[2026-04-15 2:37:38 PM] New Record for Team's Most Shots Blocked (17) in 1 Game for Philadelphia Flyers!
[2026-02-17 12:13:06 PM] New Record for Team's Most Hits (36) in 1 Game for Philadelphia Flyers!
[2026-02-12 4:18:45 PM] New Record for Team's Most Hits (30) in 1 Game for Philadelphia Flyers!
[2026-02-12 4:18:45 PM] New Record for Team's Most Penalties Minutes (23) in 1 Game for Philadelphia Flyers!
[2026-02-07 8:52:59 PM] Raphael Diaz signed with Philadelphia Flyers for $1,000,000 for 1 year(s) / Option : 1 Way Contract .
[2026-02-07 8:52:59 PM] Raphael Diaz was added to Philadelphia Flyers.
[2026-02-05 1:28:02 PM] New Record for Team's Most Shots (41) in 1 Game for Philadelphia Flyers!
[2026-02-03 3:11:59 PM] New Record for Team's Most Points (18) in 1 Game for Philadelphia Flyers!
[2026-02-03 3:11:59 PM] New Record for Team's Most Assists (12) in 1 Game for Philadelphia Flyers!
[2026-02-03 3:11:59 PM] New Record for Team's Most Goals (6) in 1 Game for Philadelphia Flyers!
[2026-02-01 12:08:42 PM] New Record for Team's Most Shots (33) in 1 Game for Philadelphia Flyers!
[2026-01-30 3:38:06 PM] New Record for Team's Most Hits (29) in 1 Game for Philadelphia Flyers!
[2026-01-30 3:38:06 PM] New Record for Team's Most Points (11) in 1 Game for Philadelphia Flyers!
[2026-01-30 3:38:06 PM] New Record for Team's Most Assists (7) in 1 Game for Philadelphia Flyers!
[2026-01-30 3:38:06 PM] New Record for Team's Most Goals (4) in 1 Game for Philadelphia Flyers!



JONATHAN ANG is out for 1 week because of a Bruised Right Leg Injury.
VILJAMI MARJALA is out for 5 days because of a Left Wrist Injury.



Philadelphia Flyers Players Stat Leaders (Regular Season)

# 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)

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

Philadelphia Flyers Career Team Stats

OverallHomeVisitor
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)

# 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)

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