Out of Date Version of the STHS! Please update your version!
Login

Toronto Marlies
GP: 78 | W: 37 | L: 30 | OTL: 11 | P: 116
GF: 249 | GA: 268 | PP%: 20.25% | PK%: 77.55%
GM : Emile | Morale : 40 | Team Overall : 67
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Rochester Americans
49-23-6, 141pts
4
FINAL
8 Toronto Marlies
37-30-11, 116pts
Team Stats
W1StreakL1
28-9-2Home Record21-12-6
21-14-4Away Record16-18-5
8-1-1Last 10 Games3-5-2
3.85Goals Per Game3.19
3.37Goals Against Per Game3.44
20.47%Power Play Percentage20.25%
75.88%Penalty Kill Percentage77.55%
Toronto Marlies
37-30-11, 116pts
2
FINAL
3 Rochester Americans
49-23-6, 141pts
Team Stats
L1StreakW1
21-12-6Home Record28-9-2
16-18-5Away Record21-14-4
3-5-2Last 10 Games8-1-1
3.19Goals Per Game3.85
3.44Goals Against Per Game3.37
20.25%Power Play Percentage20.47%
77.55%Penalty Kill Percentage75.88%
Team Leaders
Goals
Gaetan Haas
36
Assists
Gaetan Haas
54
Points
Gaetan Haas
90
Plus/Minus
Luke Adam
20
Wins
MAX LAGACE
23
Save Percentage
MAX LAGACE
0.911

Team Stats
Goals For
249
3.19 GFG
Shots For
2490
31.92 Avg
Power Play Percentage
20.2%
49 GF
Offensive Zone Start
35.7%
Goals Against
268
3.44 GAA
Shots Against
2614
33.51 Avg
Penalty Kill Percentage
77.5%%
86 GA
Defensive Zone Start
40.8%
Team Info

General ManagerEmile
DivisionNortheast Division
ConferenceEastern Conference
Captain
Assistant #1Brent Burns
Assistant #2Mattias Tedenby


Arena Info

Capacity3,000
Attendance2,926
Season Tickets300


Roster Info

Pro Team27
Farm Team19
Contract Limit46 / 250
Prospects18


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
# 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
1Noel Acciari0X100.00885575696777777060727166717971040690303925,000$
2Gaetan Haas0X95.00714075796473726476676769697965040670301600,000$
3Sergey Kalinin0X99.00844577687580796477666763678069040670311500,000$
4Max Willman0X100.007640767571748260586264716576670406702711,100,000$
5Matthew Peca0X100.00564082855074766378676563687859040660292500,000$
6Luke Adam0X98.00644581647476776274666562638278040650321600,000$
7Matt Lorito0X100.00541080865072686254656368677065040650311600,000$
8Mathieu Olivier0X100.00786755668568696050615972617371040650253500,000$
9Rocco Grimaldi0X100.00574079824969686156656468677861040650292500,000$
10Hayden Hodgson0X100.00756546667573745869646273617567040650263500,000$
11Mattias Tedenby (A)0X100.00653570806671696153596463678263040640322800,000$
12Zac Dalpe0X98.00564275677573736072646264618265040640322800,000$
13Andrew Bodnarchuk0X100.00754282727473726650706269618484040690332800,000$
14Brent Burns (A)0X98.00735379589974716355646264569388040680371500,000$
15Petteri Lindbohm0X100.00845273728068766050625965577773040680283500,000$
16Michal Jordan0X98.00554588708176776450636066608081040670312550,000$
17Mike Reilly0X98.00624283755972756350696262617781040660283500,000$
18Jacob Middleton0X100.00716768718764636150635967576874040660263500,000$
Scratches
1Alex Chiasson0X94.37774576698281756862716765678071040680312600,000$
2Lukas Vejdemo0X97.41594284697568776065566274637577040650262600,000$
3J.C. Beaudin0X100.00875573726066666074615973626365040640253500,000$
4Phil Varone0X100.00523076775566696269666565668057040640311700,000$
5Jordan Gross0X100.00554278766568676350676164607652040640271675,000$
TEAM AVERAGE98.9568457573707273626165636763787004066
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
1MAX LAGACE095.0083606082818182828281747864040760291500,000$
2Matt O'Connor0100.0077606090767778787477777962040740302850,000$
Scratches
1Marek Schwarz0100.00857276767880817979807890680407703612,600,000$
2Jeremy Smith0100.0075616178757475757674726163040710331950,000$
TEAM AVERAGE98.758063648278787979787875776404075
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
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
# 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
1Gaetan HaasToronto Marlies (QUE)LW7236549091112515411133411019910.78%48149020.701015253318520271384055.75%11310839011.2105221844
2Sergey KalininToronto Marlies (QUE)LW75244266492301561571874711512.83%30139718.6381422281630001313252.46%19312527010.9404312364
3Alex ChiassonToronto Marlies (QUE)RW7124325608315142992185511811.01%34118616.704711271670002366040.26%775924100.9402012533
4Luke AdamToronto Marlies (QUE)C71192746205610100136129429414.73%19110815.6113477000071213249.82%8451821000.8312101410
5Matthew PecaToronto Marlies (QUE)C78172744-627582122175531119.71%25111214.26268111270003793347.59%6016426000.7902001021
6Matt LoritoToronto Marlies (QUE)RW6619214092809197201651279.45%24104015.76246131010112432436.54%526436010.7701000340
7Noel AcciariToronto Marlies (QUE)LW452313366361010964127386718.11%2278117.37415157310131142247.67%863112020.9202011314
8Max WillmanToronto Marlies (QUE)C68122436-1421012910613947738.63%45122518.02391218151011111321142.80%5141928100.5914002402
9Zac DalpeToronto Marlies (QUE)C4714122697325695686346116.28%1883717.822579900004493149.26%1361018000.6201122025
10Brent BurnsToronto Marlies (QUE)D6261723267351111167930397.59%75154924.99101121742136229110.00%01450000.3001124010
11Rocco GrimaldiToronto Marlies (QUE)LW78149234100457815549899.03%1480010.2700001400051112068.42%194414000.5700000110
12Andrew BodnarchukToronto Marlies (QUE)D5951621-532201081258632445.81%89148525.18167111630005216020.00%13051000.2800112101
13Petteri LindbohmToronto Marlies (QUE)D7301717714460118967124190.00%61137018.770003115011015800100.00%12244000.2500228000
14Lukas VejdemoToronto Marlies (QUE)C64881631154410655152414.55%1969310.840002401151950050.40%5041111000.4623001021
15Hayden HodgsonToronto Marlies (QUE)RW7851116413460118695523429.09%257259.30000090001241249.09%55614000.4401615003
16Mattias TedenbyToronto Marlies (QUE)RW716915-428096486931568.70%1674610.510001150000231021.43%28199000.4001000000
17Michal JordanToronto Marlies (QUE)D77113148255451156130201.64%66140918.3010151090113180000.00%01948000.2000001000
18Mathieu OlivierToronto Marlies (QUE)RW503811-1672584634616316.52%1557211.461234280004841038.00%50514000.3811023002
19Jacob MiddletonToronto Marlies (QUE)D593811131595583985727245.26%57110418.733037860000122100.00%01140000.2001515012
20Mike ReillyToronto Marlies (QUE)D60279519540324223144.76%5582213.72101727011090000.00%11320000.2200001101
21Nicolas HagueQuebec NordiquesD7077295201923990.00%818726.80000424000030000.00%0412000.7500010000
22Samuel GirardQuebec NordiquesD4123100317188125.56%29824.64112213000112000.00%042000.6100000000
23Jordan GrossToronto Marlies (QUE)D9000140744020.00%811512.790000200001000.00%114000.00%00000000
Team Total or Average1344242384626901257405195419342417808139010.01%7752186116.27457311821919195712702230342049.47%5015601564250.57531221742332833
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 Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1MAX LAGACEToronto Marlies (QUE)48231450.9112.842641211251398653300.667154425832
2Matt O'ConnorToronto Marlies (QUE)27131120.8823.7314792092782383000.900102526032
3Jeremy SmithToronto Marlies (QUE)105310.8624.484690035253119300.6673923000
4Marek SchwarzToronto Marlies (QUE)30200.8624.251272096531000.00%022000
Team Total or Average88413080.8963.324717612612498118660288076864


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
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Waiver Possible Contract 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 10Link
Alex ChiassonToronto Marlies (QUE)RW3110/1/1990No208 Lbs6 ft4NoNoNoNo2Pro & Farm600,000$3,315$0$0$No600,000$Link / NHL Link
Andrew BodnarchukToronto Marlies (QUE)D337/11/1988No196 Lbs5 ft11NoNoNoNo2Pro & Farm800,000$4,420$0$0$No800,000$Link
Brent BurnsToronto Marlies (QUE)D373/9/1985No230 Lbs6 ft5NoNoNoNo1Pro & Farm500,000$2,762$0$0$NoLink / NHL Link
Gaetan HaasToronto Marlies (QUE)LW301/31/1992No181 Lbs6 ft0NoNoNoNo1Pro & Farm600,000$3,315$0$0$NoLink
Hayden HodgsonToronto Marlies (QUE)RW263/2/1996No208 Lbs6 ft2NoNoNoNo3Pro & Farm500,000$2,762$0$0$No500,000$500,000$Link / NHL Link
J.C. BeaudinToronto Marlies (QUE)C253/25/1997No196 Lbs6 ft1NoNoNoNo3Pro & Farm500,000$2,762$0$0$No500,000$500,000$Link / NHL Link
Jacob MiddletonToronto Marlies (QUE)D261/2/1996No219 Lbs6 ft3NoNoNoNo3Pro & Farm500,000$2,762$0$0$No500,000$500,000$Link / NHL Link
Jeremy SmithToronto Marlies (QUE)G334/13/1989No170 Lbs6 ft0NoNoNoNo1Pro & Farm950,000$5,249$0$0$NoLink
Jordan GrossToronto Marlies (QUE)D275/9/1995No190 Lbs5 ft10NoNoNoNo1Pro & Farm675,000$3,729$0$0$NoLink / NHL Link
Lukas VejdemoToronto Marlies (QUE)C261/25/1996No198 Lbs6 ft1NoNoNoNo2Pro & Farm600,000$3,315$0$0$No600,000$Link / NHL Link
Luke AdamToronto Marlies (QUE)C326/18/1990No206 Lbs6 ft2NoNoNoNo1Pro & Farm600,000$3,315$0$0$NoLink
MAX LAGACE (1 Way Contract)Toronto Marlies (QUE)G291/12/1993No190 Lbs6 ft2NoNoNoNo1Pro & Farm500,000$2,762$0$0$NoLink
Marek Schwarz (1 Way Contract)Toronto Marlies (QUE)G361/28/1986No189 Lbs5 ft11NoNoNoNo1Pro & Farm2,600,000$14,365$0$0$NoLink
Mathieu OlivierToronto Marlies (QUE)RW252/11/1997No210 Lbs6 ft2NoNoNoNo3Pro & Farm500,000$2,762$0$0$No500,000$500,000$Link / NHL Link
Matt LoritoToronto Marlies (QUE)RW317/3/1990No171 Lbs5 ft9NoNoNoNo1Pro & Farm600,000$3,315$0$0$NoLink / NHL Link
Matt O'ConnorToronto Marlies (QUE)G302/14/1992No205 Lbs6 ft6NoNoNoNo2Pro & Farm850,000$4,696$0$0$No850,000$Link
Matthew PecaToronto Marlies (QUE)C294/27/1993No181 Lbs5 ft8NoNoNoNo2Pro & Farm500,000$2,762$0$0$No500,000$Link / NHL Link
Mattias TedenbyToronto Marlies (QUE)RW322/21/1990No175 Lbs5 ft10NoNoNoNo2Pro & Farm800,000$4,420$0$0$No800,000$Link
Max WillmanToronto Marlies (QUE)C272/13/1995No184 Lbs6 ft0NoNoNoNo1Pro & Farm1,100,000$6,077$0$0$NoLink / NHL Link
Michal JordanToronto Marlies (QUE)D317/17/1990No207 Lbs6 ft1NoNoNoNo2Pro & Farm550,000$3,039$0$0$No550,000$Link
Mike ReillyToronto Marlies (QUE)D287/13/1993No195 Lbs6 ft2NoNoNoNo3Pro & Farm500,000$2,762$0$0$No500,000$500,000$Link / NHL Link
Noel AcciariToronto Marlies (QUE)LW3012/1/1991No209 Lbs5 ft10NoNoNoNo3Pro & Farm925,000$5,110$0$0$No925,000$925,000$Link / NHL Link
Petteri LindbohmToronto Marlies (QUE)D289/23/1993No198 Lbs6 ft3NoNoNoNo3Pro & Farm500,000$2,762$0$0$No500,000$500,000$Link
Phil VaroneToronto Marlies (QUE)C3112/4/1990No169 Lbs5 ft10NoNoNoNo1Pro & Farm700,000$3,867$0$0$NoLink
Rocco GrimaldiToronto Marlies (QUE)LW292/8/1993No180 Lbs5 ft6NoNoNoNo2Pro & Farm500,000$2,762$0$0$No500,000$Link / NHL Link
Sergey KalininToronto Marlies (QUE)LW313/17/1991No200 Lbs6 ft3NoNoNoNo1Pro & Farm500,000$2,762$0$0$NoLink
Zac DalpeToronto Marlies (QUE)C3211/1/1989No197 Lbs6 ft2NoNoNoNo2Pro & Farm800,000$4,420$0$0$No800,000$Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2729.81195 Lbs6 ft11.85712,963$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Gaetan HaasSergey KalininZac Dalpe40023
2Noel AcciariLuke AdamMax Willman30023
3Matt LoritoMatthew PecaMathieu Olivier25023
4Rocco GrimaldiHayden HodgsonMattias Tedenby5023
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Brent BurnsPetteri Lindbohm40032
2Michal JordanMike Reilly40032
3Jacob MiddletonAndrew Bodnarchuk20032
4Brent BurnsPetteri Lindbohm0032
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Gaetan HaasSergey KalininMax Willman50005
2Noel AcciariLuke AdamMatt Lorito50005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Brent BurnsPetteri Lindbohm50005
2Michal JordanMike Reilly50005
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Matthew PecaNoel Acciari50050
2Luke AdamGaetan Haas50050
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Brent BurnsPetteri Lindbohm50050
2Michal JordanMike Reilly50050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Matthew Peca50050Brent BurnsPetteri Lindbohm50050
2Luke Adam50050Michal JordanMike Reilly50050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Matthew PecaNoel Acciari50023
2Luke AdamGaetan Haas50023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Brent BurnsPetteri Lindbohm50032
2Michal JordanMike Reilly50032
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Gaetan HaasSergey KalininMax WillmanBrent BurnsPetteri Lindbohm
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Noel AcciariMatthew PecaMatt LoritoBrent BurnsPetteri Lindbohm
Extra Forwards
Normal PowerPlayPenalty Kill
Matthew Peca, Matt Lorito, Max WillmanMatthew Peca, Matt LoritoMatthew Peca
Extra Defensemen
Normal PowerPlayPenalty Kill
Mike Reilly, Jacob Middleton, Andrew BodnarchukMike ReillyMike Reilly, Jacob Middleton
Penalty Shots
Noel Acciari, Max Willman, Gaetan Haas, Sergey Kalinin, Matthew Peca
Goalie
#1 : MAX LAGACE, #2 : Matt O'Connor
Custom OT Lines Forwards
Noel Acciari, Mathieu Olivier, Gaetan Haas, Sergey Kalinin, Matthew Peca, Matt Lorito, Matt Lorito, Max Willman, Hayden Hodgson, Rocco Grimaldi, Luke Adam
Custom OT Lines Defensemen
Brent Burns, Petteri Lindbohm, Michal Jordan, Mike Reilly, Jacob Middleton


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
1Amarillo Gorillas422000001214-22110000057-22110000077060.500122335005895901013475188981563102376812017317.65%14471.43%0881176150.03%1000201449.65%593116350.99%158185217367671419678
2Bakersfield Condors412001001015-52100010065120200000410-640.33310122200589590101297518898156313047116117800.00%28678.57%0881176150.03%1000201449.65%593116350.99%158185217367671419678
3Bridgeport Islanders2110000078-1110000004221010000036-330.5007101700589590107475188981563541036618337.50%8362.50%0881176150.03%1000201449.65%593116350.99%158185217367671419678
4Cleveland Monsters2020000038-51010000023-11010000015-400.0003580058959010667518898156358222552800.00%5260.00%0881176150.03%1000201449.65%593116350.99%158185217367671419678
5Coachella Valley Firebirds4400000016882200000083522000000853121.000162541005895901012375188981563106303710716425.00%16381.25%0881176150.03%1000201449.65%593116350.99%158185217367671419678
6Colorado Eagles2020000038-51010000025-31010000013-200.0003360058959010557518898156359192264200.00%11190.91%0881176150.03%1000201449.65%593116350.99%158185217367671419678
7Grand Rapids Griffins2020000025-31010000013-21010000012-100.0002350058959010517518898156367183239000.00%110100.00%0881176150.03%1000201449.65%593116350.99%158185217367671419678
8Greenville Swamp Rabbits210001008801000010034-11100000054140.667813210058959010787518898156358231958300.00%7271.43%0881176150.03%1000201449.65%593116350.99%158185217367671419678
9Henderson Silver Knights4310000014952110000035-222000000114790.7501423370058959010122751889815631323984868225.00%24195.83%0881176150.03%1000201449.65%593116350.99%158185217367671419678
10Iowa Heartlanders21001000853100010005411100000031250.833812200058959010677518898156375253861400.00%9188.89%0881176150.03%1000201449.65%593116350.99%158185217367671419678
11Iowa Wild2110000057-21010000014-31100000043130.50059140058959010607518898156365173649500.00%8275.00%0881176150.03%1000201449.65%593116350.99%158185217367671419678
12Lehigh Valley Phantoms2020000019-81010000005-51010000014-300.0001120058959010517518898156368364460600.00%12283.33%0881176150.03%1000201449.65%593116350.99%158185217367671419678
13Nashville Knights4210100014131210010008532110000068-280.667142640005895901013075188981563122358510623417.39%15473.33%2881176150.03%1000201449.65%593116350.99%158185217367671419678
14Newfoundland Growlers605001001432-1830300000822-1430200100610-410.0561422360058959010179751889815632175811314116212.50%401367.50%1881176150.03%1000201449.65%593116350.99%158185217367671419678
15Norfolk Admirals22000000523110000003211100000020261.0005914015895901070751889815636221375211327.27%60100.00%0881176150.03%1000201449.65%593116350.99%158185217367671419678
16Orlando Solar Bears210000017701000000145-11100000032140.6677121900589590106275188981563752615519333.33%5180.00%0881176150.03%1000201449.65%593116350.99%158185217367671419678
17Providence Bruins603002011827-9301001011015-530200100812-430.1671832500058959010185751889815632107111015315426.67%35877.14%0881176150.03%1000201449.65%593116350.99%158185217367671419678
18Reading Royals4110011016133210001008532010001088060.50016254100589590101307518898156314145777314214.29%21576.19%0881176150.03%1000201449.65%593116350.99%158185217367671419678
19Rochester Americans623000012221132100000149530200001812-470.389223759005895901019375188981563218849311711436.36%34779.41%0881176150.03%1000201449.65%593116350.99%158185217367671419678
20Rockford IceHogs21100000550110000003121010000024-230.50059140058959010587518898156375202158700.00%8187.50%0881176150.03%1000201449.65%593116350.99%158185217367671419678
21Springfield Thunderbirds20001100880100010004311000010045-130.50081321005895901080751889815637523305410330.00%6350.00%0881176150.03%1000201449.65%593116350.99%158185217367671419678
22Trois Rivieres Lions641000102214833000000147731100010871140.778223355005895901019375188981563213629215322522.73%32875.00%1881176150.03%1000201449.65%593116350.99%158185217367671419678
23Wheeling Nailers640010012922732001000161063200000113121150.833294776005895901020075188981563232838613519736.84%28967.86%1881176150.03%1000201449.65%593116350.99%158185217367671419678
Total78313004724249268-1939171204402132134-239141800322117134-171160.49624940465301589590102490751889815632614851131619672424920.25%3838677.55%5881176150.03%1000201449.65%593116350.99%158185217367671419678
_Since Last GM Reset78313004724249268-1939171204402132134-239141800322117134-171160.49624940465301589590102490751889815632614851131619672424920.25%3838677.55%5881176150.03%1000201449.65%593116350.99%158185217367671419678
_Vs Conference42161502414141155-142196022028185-42179002126070-10620.4921412283690158959010135275188981563148249968310421243125.00%2165475.00%3881176150.03%1000201449.65%593116350.99%158185217367671419678
_Vs Division30101201313105116-111575011016263-11537002124353-10400.4441051712760058959010950751889815631090358494699832226.51%1694573.37%3881176150.03%1000201449.65%593116350.99%158185217367671419678

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
78116L1249404653249026148511316196701
All Games
GPWLOTWOTL SOWSOLGFGA
7831304724249268
Home Games
GPWLOTWOTL SOWSOLGFGA
3917124402132134
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3914180322117134
Last 10 Games
WLOTWOTL SOWSOL
350101
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2424920.25%3838677.55%5
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
7518898156358959010
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
881176150.03%1000201449.65%593116350.99%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
158185217367671419678


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
1 - 2022-12-294Trois Rivieres Lions2Toronto Marlies4BWBoxScore
3 - 2022-12-3117Toronto Marlies6Wheeling Nailers5AWBoxScore
5 - 2023-01-0229Rochester Americans3Toronto Marlies1BLBoxScore
7 - 2023-01-0442Toronto Marlies3Newfoundland Growlers5ALBoxScore
11 - 2023-01-0860Coachella Valley Firebirds1Toronto Marlies4BWBoxScore
13 - 2023-01-1072Toronto Marlies1Bakersfield Condors3ALBoxScore
15 - 2023-01-1276Toronto Marlies6Amarillo Gorillas3AWBoxScore
16 - 2023-01-1382Amarillo Gorillas3Toronto Marlies4BWBoxScore
19 - 2023-01-1699Toronto Marlies3Providence Bruins4ALBoxScore
21 - 2023-01-18109Toronto Marlies3Trois Rivieres Lions2AWXXBoxScore
23 - 2023-01-20125Wheeling Nailers2Toronto Marlies6BWBoxScore
25 - 2023-01-22134Toronto Marlies4Rochester Americans5ALXXBoxScore
27 - 2023-01-24150Newfoundland Growlers6Toronto Marlies1BLBoxScore
29 - 2023-01-26159Providence Bruins6Toronto Marlies5BLXBoxScore
31 - 2023-01-28169Trois Rivieres Lions1Toronto Marlies4BWBoxScore
33 - 2023-01-30182Toronto Marlies2Wheeling Nailers3ALXXBoxScore
35 - 2023-02-01195Providence Bruins4Toronto Marlies1BLBoxScore
37 - 2023-02-03209Toronto Marlies2Rochester Americans4ALBoxScore
39 - 2023-02-05219Newfoundland Growlers9Toronto Marlies3BLBoxScore
41 - 2023-02-07231Toronto Marlies1Newfoundland Growlers2ALBoxScore
45 - 2023-02-11248Toronto Marlies1Lehigh Valley Phantoms4ALBoxScore
48 - 2023-02-14259Norfolk Admirals2Toronto Marlies3BWBoxScore
51 - 2023-02-17270Toronto Marlies3Orlando Solar Bears2AWBoxScore
54 - 2023-02-20281Iowa Heartlanders4Toronto Marlies5BWXBoxScore
58 - 2023-02-24299Cleveland Monsters3Toronto Marlies2BLBoxScore
60 - 2023-02-26312Toronto Marlies2Rockford IceHogs4ALBoxScore
63 - 2023-03-01322Toronto Marlies2Trois Rivieres Lions3ALBoxScore
64 - 2023-03-02331Trois Rivieres Lions4Toronto Marlies6BWBoxScore
66 - 2023-03-04340Iowa Wild4Toronto Marlies1BLBoxScore
68 - 2023-03-06351Toronto Marlies1Grand Rapids Griffins2ALBoxScore
70 - 2023-03-08362Toronto Marlies1Colorado Eagles3ALBoxScore
72 - 2023-03-10373Springfield Thunderbirds3Toronto Marlies4BWXBoxScore
75 - 2023-03-13396Bridgeport Islanders2Toronto Marlies4BWBoxScore
77 - 2023-03-15407Toronto Marlies5Greenville Swamp Rabbits4AWBoxScore
80 - 2023-03-18419Toronto Marlies4Coachella Valley Firebirds3AWBoxScore
82 - 2023-03-20432Bakersfield Condors2Toronto Marlies4BWBoxScore
84 - 2023-03-22444Toronto Marlies4Coachella Valley Firebirds2AWBoxScore
86 - 2023-03-24453Toronto Marlies8Henderson Silver Knights3AWBoxScore
88 - 2023-03-26463Toronto Marlies4Nashville Knights2AWBoxScore
90 - 2023-03-28475Nashville Knights2Toronto Marlies3BWXBoxScore
94 - 2023-04-01489Toronto Marlies2Providence Bruins3ALXBoxScore
97 - 2023-04-04500Wheeling Nailers4Toronto Marlies5BWXBoxScore
99 - 2023-04-06508Henderson Silver Knights1Toronto Marlies2BWBoxScore
101 - 2023-04-08520Toronto Marlies3Bakersfield Condors7ALBoxScore
102 - 2023-04-09526Bakersfield Condors3Toronto Marlies2BLXBoxScore
105 - 2023-04-12542Nashville Knights3Toronto Marlies5BWBoxScore
108 - 2023-04-15558Reading Royals4Toronto Marlies3BLXBoxScore
112 - 2023-04-19573Grand Rapids Griffins3Toronto Marlies1BLBoxScore
114 - 2023-04-21583Toronto Marlies4Springfield Thunderbirds5ALXBoxScore
116 - 2023-04-23598Toronto Marlies4Iowa Wild3AWBoxScore
119 - 2023-04-26608Rochester Americans2Toronto Marlies5BWBoxScore
122 - 2023-04-29624Toronto Marlies5Reading Royals6ALBoxScore
124 - 2023-05-01636Coachella Valley Firebirds2Toronto Marlies4BWBoxScore
127 - 2023-05-04648Toronto Marlies3Henderson Silver Knights1AWBoxScore
129 - 2023-05-06660Henderson Silver Knights4Toronto Marlies1BLBoxScore
131 - 2023-05-08671Toronto Marlies5Wheeling Nailers4AWBoxScore
132 - 2023-05-09676Lehigh Valley Phantoms5Toronto Marlies0BLBoxScore
134 - 2023-05-11687Toronto Marlies2Norfolk Admirals0AWBoxScore
136 - 2023-05-13698Orlando Solar Bears5Toronto Marlies4BLXXBoxScore
138 - 2023-05-15714Toronto Marlies3Bridgeport Islanders6ALBoxScore
140 - 2023-05-17725Toronto Marlies1Cleveland Monsters5ALBoxScore
143 - 2023-05-20741Toronto Marlies3Iowa Heartlanders1AWBoxScore
145 - 2023-05-22756Rockford IceHogs1Toronto Marlies3BWBoxScore
147 - 2023-05-24764Colorado Eagles5Toronto Marlies2BLBoxScore
149 - 2023-05-26779Greenville Swamp Rabbits4Toronto Marlies3BLXBoxScore
153 - 2023-05-30792Toronto Marlies3Reading Royals2AWXXBoxScore
156 - 2023-06-02802Toronto Marlies1Amarillo Gorillas4ALBoxScore
159 - 2023-06-05816Reading Royals1Toronto Marlies5BWBoxScore
161 - 2023-06-07826Amarillo Gorillas4Toronto Marlies1BLBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
163 - 2023-06-09837Toronto Marlies2Nashville Knights6ALBoxScore
167 - 2023-06-13855Toronto Marlies2Newfoundland Growlers3ALXBoxScore
168 - 2023-06-14861Newfoundland Growlers7Toronto Marlies4BLBoxScore
170 - 2023-06-16872Wheeling Nailers4Toronto Marlies5BWBoxScore
173 - 2023-06-19891Providence Bruins5Toronto Marlies4BLXXBoxScore
174 - 2023-06-20897Toronto Marlies3Providence Bruins5ALBoxScore
176 - 2023-06-22904Toronto Marlies3Trois Rivieres Lions2AWBoxScore
179 - 2023-06-25914Rochester Americans4Toronto Marlies8BWBoxScore
180 - 2023-06-26926Toronto Marlies2Rochester Americans3ALBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3916
Attendance75,76538,343
Attendance PCT97.13%98.32%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2926 - 97.53% 91,495$3,568,323$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,833,609$ 1,615,000$ 1,615,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 1,833,609$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 1 8,923$ 8,923$




Toronto Marlies 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

Toronto Marlies Goalies Stat Leaders (Regular Season)

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

Toronto Marlies 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

Toronto Marlies 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

Toronto Marlies Goalies Stat Leaders (Play-Off)

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