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Toronto Marlies
GP: 67 | W: 32 | L: 29 | OTL: 6 | P: 70
GF: 186 | GA: 185 | PP%: 17.03% | PK%: 84.87%
GM : Zdenek Jirgala | Morale : 50 | Team Overall : 55
Next Games #1090 vs Hershey Bears
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Game Center
Chicago Wolves
32-28-8, 72pts
1
FINAL
3 Toronto Marlies
32-29-6, 70pts
Team Stats
L4StreakW2
19-13-3Home Record15-14-4
13-15-5Home Record17-15-2
4-6-0Last 10 Games5-5-0
3.15Goals Per Game2.78
3.19Goals Against Per Game2.76
12.75%Power Play Percentage17.03%
80.26%Penalty Kill Percentage84.87%
Toronto Marlies
32-29-6, 70pts
5
FINAL
2 Lehigh Valley Phantoms
34-26-9, 77pts
Team Stats
W2StreakL1
15-14-4Home Record19-12-4
17-15-2Home Record15-14-5
5-5-0Last 10 Games4-4-2
2.78Goals Per Game2.61
2.76Goals Against Per Game2.43
17.03%Power Play Percentage17.61%
84.87%Penalty Kill Percentage85.19%
Toronto Marlies
32-29-6, 70pts
Day 134
Hershey Bears
33-25-9, 75pts
Team Stats
W2StreakL2
15-14-4Home Record14-15-3
17-15-2Away Record19-10-6
5-5-0Last 10 Games5-5-0
2.78Goals Per Game2.46
2.76Goals Against Per Game2.46
17.03%Power Play Percentage19.87%
84.87%Penalty Kill Percentage81.53%
Bakersfield Condors
38-19-8, 84pts
Day 136
Toronto Marlies
32-29-6, 70pts
Team Stats
W1StreakW2
19-9-5Home Record15-14-4
19-10-3Away Record17-15-2
7-2-1Last 10 Games5-5-0
3.45Goals Per Game2.78
3.03Goals Against Per Game2.78
23.93%Power Play Percentage17.03%
77.39%Penalty Kill Percentage84.87%
Hershey Bears
33-25-9, 75pts
Day 139
Toronto Marlies
32-29-6, 70pts
Team Stats
L2StreakW2
14-15-3Home Record15-14-4
19-10-6Away Record17-15-2
5-5-0Last 10 Games5-5-0
2.46Goals Per Game2.78
2.66Goals Against Per Game2.78
19.87%Power Play Percentage17.03%
81.53%Penalty Kill Percentage84.87%
Team Leaders
Julien GauthierGoals
Julien Gauthier
29
Fabian ZetterlundAssists
Fabian Zetterlund
37
Fabian ZetterlundPoints
Fabian Zetterlund
64
Brett SeneyPlus/Minus
Brett Seney
30
Jonas JohanssonWins
Jonas Johansson
26
Jonas JohanssonSave Percentage
Jonas Johansson
0.902

Team Stats
Goals For
186
2.78 GFG
Shots For
1784
26.63 Avg
Power Play Percentage
17.0%
31 GF
Offensive Zone Start
39.6%
Goals Against
185
2.76 GAA
Shots Against
1772
26.45 Avg
Penalty Kill Percentage
84.9%%
23 GA
Defensive Zone Start
39.6%
Team Info

General ManagerZdenek Jirgala
DivisionNorth Division
ConferenceEastern Conference
CaptainAdam Cracknell
Assistant #1Seth Helgeson
Assistant #2Fabian Zetterlund


Arena Info

Capacity3,000
Attendance0
Season Tickets300


Roster Info

Pro Team27
Farm Team21
Contract Limit48 / 80
Prospects21


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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# 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
1Fabian Zetterlund (R) (A)X100.006837827177758767556757646160510506302411,000,000$
2Julien GauthierX100.00794080678567826353566363636455050620251900,000$
3Brett SeneyXX100.00704370696175616558515364676657050590271900,000$
4Adam Cracknell (C)XX100.00625560618250575736565658558878050580382700,000$
5Alex Steeves (R)XXX100.00663680697365606450515058596051050570232700,000$
6Gabriel Fortier (R)XX100.00663777686666606250515058605849050560231600,000$
7Shane Bowers (R)XX100.00603682697455605650515058596050050560247100,000$
8Michael MerschX100.00523582597945575535545455547466050550301600,000$
9Shane HarperX100.00573574607150605337535156518072050550341600,000$
10Isak RosenXXX100.00543585646742575335525255605243050530209100,000$
11Xavier BourgaultX100.00533584636841585242515256595445050530209100,000$
12John AlbertX100.00513573536844554330444255498072050510341600,000$
13Kyle CapobiancoX100.00654864687771635430515762546454050590261900,000$
14Daniel WalcottXX100.00636060627051595132505258547061050560293100,000$
15Paul LaDueX100.00583577537954594330444062497465050550312900,000$
16William TrudeauX100.00604274597350584930504762555445050550209100,000$
17Andy WelinskiX100.00543684567650544730484461497263050550302900,000$
18Seth Helgeson (A)X100.00605270518451474330444161487870050550322900,000$
Scratches
1Bobby McMannX92.35713782677970625951535058626657050580271800,000$
2Roni HirvonenXX100.004444444544444445444444444450500504502110100,000$
3Jason DemersX79.497152666675686049305155675282770506103521,200,000$
4Xavier OuelletX100.00593578577355604630484259537263050550302900,000$
5Brycen MartinX100.00563577527655544230434156476657050530279100,000$
TEAM AVERAGE98.7461417461735660533951505955675905056
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
1Jonas Johansson99.00635956876665616364646068600505902821,100,000$
2Chase Perry100.0055484577555253545654556659050540271100,000$
Scratches
1Vyacheslav Peksa100.00404040404040404040404050500504302110100,000$
2Chase Clark100.0033333333333333333333335050050390219100,000$
TEAM AVERAGE99.754845445949484748484847595505049
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
1Fabian ZetterlundToronto Marlies (TOR)LW6427376428100401282227815612.16%14149323.343252815110131149249.04%36500000.8623000595
2Julien GauthierToronto Marlies (TOR)RW6729356426380153882065614414.08%11146121.8273102314901141255253.14%17500010.8813000477
3Brett SeneyToronto Marlies (TOR)C/LW6723355830100861441755512213.14%15125818.7911011301600007701550.16%156700110.9212000723
4Kyle CapobiancoToronto Marlies (TOR)D6792837-3340965910329668.74%57134920.14571239151011194110%000000.5501000121
5Shane BowersToronto Marlies (TOR)C/RW67102333-3180478211443938.77%11103115.40011740000131147.80%31800000.6400000142
6Alex SteevesToronto Marlies (TOR)C/LW/RW63141630-22240619715530899.03%8111617.735510261060002371049.24%26400000.5400000133
7Bobby McMannToronto Marlies (TOR)C5872128-262357111312023925.83%9107118.472911211200001812050.98%111800000.5201001210
8Adam CracknellToronto Marlies (TOR)C/RW67111526-3145151096511128759.91%11113616.9615615134000172048.56%20800000.4601201110
9Colton WhiteMaple LeafsD5791625-6160634770224612.86%70116220.40461029115000094220%000000.4300000002
10Daniel WalcottToronto Marlies (TOR)LW/D672182010481076424624334.35%44101815.210334570001491042.86%1400000.3900101101
11Taylor FedunMaple LeafsD6671320-4120604868194410.29%68136320.6612325137000171110%100000.2900000101
12Jason DemersToronto Marlies (TOR)D47414183375100444522428.89%54104422.2113419109000067200%000000.3400001031
13Gabriel FortierToronto Marlies (TOR)C/LW568917-10120648611624786.90%783414.910002210000161147.65%68200000.4100000122
14Michael MerschToronto Marlies (TOR)LW6612517-1160213484317614.29%584612.83000050000110034.33%6700000.4011000200
15Paul LaDueToronto Marlies (TOR)D5821012-112054211221316.67%3274612.86000120000055000%000000.3200000002
16Shane HarperToronto Marlies (TOR)RW674812-10028356225406.45%579211.830001160000321041.76%9100000.3000000001
17William TrudeauToronto Marlies (TOR)D513811-824060302041915.00%3881015.89101428000152000%000000.2700000000
18Xavier OuelletToronto Marlies (TOR)D43088560361311560%2243210.0600000000020000%000000.3700000000
19Isak RosenToronto Marlies (TOR)C/LW/RW223361206152081215.00%126311.980222230000200044.74%3800000.4600000010
20Andy WelinskiToronto Marlies (TOR)D2212340041043925.00%31838.350001200007100%000000.3300000000
21Seth HelgesonToronto Marlies (TOR)D30022-414030127320%2132210.7400002000020000%100000.1200000000
22Xavier BourgaultToronto Marlies (TOR)C24011-400312123130%01466.09000000002110037.06%14300000.1400000000
23Brycen MartinToronto Marlies (TOR)D1000000000000%077.830000000000000%00000000000000
24John AlbertToronto Marlies (TOR)C9000100131110%2273.0900002000000033.33%120000000000000
Team Total or Average1206185327512-3638135126912281784538127110.37%5081992416.523158892771560123251064311548.91%506400120.51512304273531
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
1Jonas JohanssonToronto Marlies (TOR)53262040.9022.6030960313413730000.455115016430
2Chase PerryToronto Marlies (TOR)176920.8793.049460048398001001750100
Team Total or Average70322960.8972.704042031821771001116766530


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 Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contrat Signature Date 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 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
Adam CracknellToronto Marlies (TOR)C/RW3807.07.1985No216 Lbs6 ft3NoNoN/ANoNo2Pro & Farm700,000$122,500$0$0$No700,000$--------No--------NHL Link
Alex SteevesToronto Marlies (TOR)C/LW/RW2307.07.2000Yes196 Lbs6 ft0NoNoN/ANoNo2Pro & Farm700,000$122,500$0$0$No700,000$--------No--------NHL Link
Andy WelinskiToronto Marlies (TOR)D3007.07.1993No201 Lbs6 ft1NoNoN/ANoNo2Pro & Farm900,000$157,500$0$0$No900,000$--------No--------NHL Link
Bobby McMannToronto Marlies (TOR)C2707.07.1996No208 Lbs6 ft2NoNoN/ANoNo1Pro & Farm800,000$140,000$0$0$No------------------NHL Link
Brett SeneyToronto Marlies (TOR)C/LW2707.07.1996No156 Lbs5 ft9NoNoN/ANoNo1Pro & Farm900,000$157,500$0$0$No------------------NHL Link
Brycen MartinToronto Marlies (TOR)D2707.07.1996No194 Lbs6 ft2NoNoN/ANoNo9Farm Only100,000$17,500$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$-NoNoNoNoNoNoNoNo-
Chase ClarkToronto Marlies (TOR)G2107.07.2002 15:01:28No218 Lbs6 ft6NoNoN/ANoNo9Farm Only100,000$17,500$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$-NoNoNoNoNoNoNoNo-
Chase PerryToronto Marlies (TOR)G2707.07.1996No190 Lbs6 ft3NoNoN/ANoNo1Farm Only100,000$17,500$0$0$No------------------
Daniel WalcottToronto Marlies (TOR)LW/D2907.07.1994No174 Lbs6 ft1NoNoN/ANoNo3Farm Only100,000$17,500$0$0$No100,000$100,000$-------NoNo-------NHL Link
Fabian ZetterlundToronto Marlies (TOR)LW2407.07.1999Yes220 Lbs5 ft11NoNoN/ANoNo1Pro & Farm1,000,000$175,000$0$0$No------------------NHL Link
Gabriel FortierToronto Marlies (TOR)C/LW2307.07.2000Yes177 Lbs5 ft10NoNoN/ANoNo1Pro & Farm600,000$105,000$0$0$No------------------NHL Link
Isak RosenToronto Marlies (TOR)C/LW/RW2007.07.2003No174 Lbs5 ft11NoNoN/ANoNo9Farm Only100,000$17,500$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$-NoNoNoNoNoNoNoNo-
Jason DemersToronto Marlies (TOR)D3507.07.1988No195 Lbs6 ft1NoNoN/ANoNo2Pro & Farm1,200,000$210,000$0$0$No1,200,000$--------No--------
John AlbertToronto Marlies (TOR)C3407.07.1989No179 Lbs5 ft11NoNoN/ANoNo1Pro & Farm600,000$105,000$0$0$No------------------
Jonas JohanssonToronto Marlies (TOR)G2807.07.1995No220 Lbs6 ft5NoNoN/ANoNo2Pro & Farm1,100,000$192,500$0$0$No1,100,000$--------No--------NHL Link
Julien GauthierToronto Marlies (TOR)RW2507.07.1998No224 Lbs6 ft4NoNoN/ANoNo1Pro & Farm900,000$157,500$0$0$No------------------NHL Link
Kyle CapobiancoToronto Marlies (TOR)D2607.07.1997No201 Lbs6 ft2NoNoN/ANoNo1Pro & Farm900,000$157,500$0$0$No------------------NHL Link
Michael MerschToronto Marlies (TOR)LW3007.07.1993No209 Lbs6 ft2NoNoN/ANoNo1Pro & Farm600,000$105,000$0$0$No------------------NHL Link
Paul LaDueToronto Marlies (TOR)D3107.07.1992No201 Lbs6 ft3NoNoN/ANoNo2Pro & Farm900,000$157,500$0$0$No900,000$--------No--------NHL Link
Roni HirvonenToronto Marlies (TOR)LW/RW2107.07.2002 2:32:14No179 Lbs5 ft10NoNoN/ANoNo10Farm Only100,000$17,500$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NoNoNoNoNoNoNoNoNo
Seth HelgesonToronto Marlies (TOR)D3207.07.1991No220 Lbs6 ft4NoNoN/ANoNo2Pro & Farm900,000$157,500$0$0$No900,000$--------No--------NHL Link
Shane BowersToronto Marlies (TOR)C/RW2407.07.1999Yes186 Lbs6 ft2NoNoN/ANoNo7Farm Only100,000$17,500$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$---NoNoNoNoNoNo---NHL Link
Shane HarperToronto Marlies (TOR)RW3407.07.1989No183 Lbs6 ft0NoNoN/ANoNo1Pro & Farm600,000$105,000$0$0$No------------------
Vyacheslav PeksaToronto Marlies (TOR)G2107.07.2002 2:33:11No179 Lbs6 ft3NoNoN/ANoNo10Farm Only100,000$17,500$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NoNoNoNoNoNoNoNoNo
William TrudeauToronto Marlies (TOR)D2007.07.2003No187 Lbs6 ft1NoNoN/ANoNo9Farm Only100,000$17,500$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$-NoNoNoNoNoNoNoNo-
Xavier BourgaultToronto Marlies (TOR)C2007.07.2003No172 Lbs6 ft0NoNoN/ANoNo9Farm Only100,000$17,500$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$-NoNoNoNoNoNoNoNo-
Xavier OuelletToronto Marlies (TOR)D3007.07.1993No196 Lbs6 ft0NoNoN/ANoNo2Pro & Farm900,000$157,500$0$0$No900,000$--------No--------NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2726.93195 Lbs6 ft13.74562,963$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Fabian ZetterlundBrett SeneyJulien Gauthier40122
2Alex SteevesAdam CracknellShane Bowers30122
3Michael MerschGabriel FortierShane Harper20122
4Isak RosenXavier BourgaultFabian Zetterlund10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Kyle CapobiancoDaniel Walcott40122
2William TrudeauSeth Helgeson30122
3Andy WelinskiPaul LaDue20122
4Kyle CapobiancoDaniel Walcott10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Fabian ZetterlundBrett SeneyJulien Gauthier60122
2Alex SteevesAdam CracknellShane Bowers40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Kyle CapobiancoDaniel Walcott60122
2William TrudeauSeth Helgeson40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Fabian ZetterlundJulien Gauthier60122
2Brett SeneyAdam Cracknell40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Kyle CapobiancoDaniel Walcott60122
2William TrudeauSeth Helgeson40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Fabian Zetterlund60122Kyle CapobiancoDaniel Walcott60122
2Julien Gauthier40122William TrudeauSeth Helgeson40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Fabian ZetterlundJulien Gauthier60122
2Brett SeneyAdam Cracknell40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Kyle CapobiancoDaniel Walcott60122
2William TrudeauSeth Helgeson40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Fabian ZetterlundBrett SeneyJulien GauthierKyle CapobiancoDaniel Walcott
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Fabian ZetterlundBrett SeneyJulien GauthierKyle CapobiancoDaniel Walcott
Extra Forwards
Normal PowerPlayPenalty Kill
John Albert, Gabriel Fortier, Michael MerschJohn Albert, Gabriel FortierMichael Mersch
Extra Defensemen
Normal PowerPlayPenalty Kill
Andy Welinski, Paul LaDue, William TrudeauAndy WelinskiPaul LaDue, William Trudeau
Penalty Shots
Fabian Zetterlund, Julien Gauthier, Brett Seney, Adam Cracknell, Alex Steeves
Goalie
#1 : Jonas Johansson, #2 : Chase Perry


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
1Abbotsford Canucks200011006601000010034-11000100032130.7506111700745551104657660957734541812369111.11%5180.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
2Bakersfield Condors10000010431000000000001000001043121.0004610007455511033576609577342312426300.00%20100.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
3Belleville Senators41201000121202020000047-32100100085340.50012203200745551101045766095773411333198315320.00%7185.71%0985200749.08%963200348.08%529105450.19%158710901575500888442
4Bridgeport Islanders3120000058-3110000002112020000037-420.333571200745551108457660957734812614586116.67%7185.71%0985200749.08%963200348.08%529105450.19%158710901575500888442
5Calgary Wranglers22000000633110000004221100000021141.000612180074555110605766095773446151033400.00%5180.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
6Charlotte Checkers2110000068-21010000036-31100000032120.500611170074555110425766095773456914285240.00%7271.43%0985200749.08%963200348.08%529105450.19%158710901575500888442
7Chicago Wolves21100000541211000005410000000000020.500581300745551105357660957734731010347114.29%30100.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
8Cleveland Monsters30300000811-31010000023-12020000068-200.000814220074555110675766095773495421658400.00%7185.71%0985200749.08%963200348.08%529105450.19%158710901575500888442
9Coachella Valley Firebirds220000001064110000004221100000064241.0001017270074555110555766095773454128246116.67%4175.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
10Colorado Eagles2010010046-21000010023-11010000023-110.250471100745551104957660957734531221426116.67%8187.50%0985200749.08%963200348.08%529105450.19%158710901575500888442
11Grand Rapids Griffins2110000045-11010000013-21100000032120.50047110074555110515766095773451128464125.00%3166.67%0985200749.08%963200348.08%529105450.19%158710901575500888442
12Hartford Wolf Pack30300000612-62020000038-51010000034-100.000691500745551107257660957734772144912216.67%2150.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
13Henderson Silver Knights2020000047-31010000023-11010000024-200.0004711007455511055576609577343581648100.00%8187.50%0985200749.08%963200348.08%529105450.19%158710901575500888442
14Hershey Bears11000000211000000000001100000021121.00024600745551103157660957734227014500.00%000%0985200749.08%963200348.08%529105450.19%158710901575500888442
15Iowa Wild21100000440110000003211010000012-120.50048120074555110585766095773452201419100.00%70100.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
16Laval Rocket22000000844110000004131100000043141.0008152300745551106557660957734459841200.00%40100.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
17Lehigh Valley Phantoms31200000810-21010000015-42110000075220.3338132100745551107757660957734662118538112.50%8275.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
18Manitoba Moose21100000910-1110000009721010000003-320.5009142300745551104757660957734511712447342.86%5180.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
19Milwaukee Admirals21100000321110000002021010000012-120.50036901745551105857660957734451510267114.29%50100.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
20Ontario Reign21000001761110000003121000000145-130.75071421007455511062576609577344718633800.00%30100.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
21Providence Bruins4120100011110211000005502010100066040.50011213200745551101235766095773410933589413215.38%11554.55%0985200749.08%963200348.08%529105450.19%158710901575500888442
22Rochester Americans3010100179-22010100056-11000000123-130.50071320007455511086576609577349423166011327.27%70100.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
23Rockford IceHogs2020000047-31010000012-11010000035-200.000459007455511039576609577345714428800.00%20100.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
24San Diego Gulls21100000660110000004221010000024-220.500610161074555110505766095773456812346116.67%50100.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
25San Jose Barracuda21001000752100010005411100000021141.000713200074555110545766095773452164475240.00%20100.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
26Springfield Thunderbirds210001004401000010023-11100000021130.750471100745551106557660957734681714305120.00%7271.43%0985200749.08%963200348.08%529105450.19%158710901575500888442
27Syracuse Crunch210001005501000010023-11100000032130.75058130074555110495766095773447151648100.00%6183.33%0985200749.08%963200348.08%529105450.19%158710901575500888442
28Texas Stars22000000606110000004041100000020241.0006121802745551105257660957734441110418225.00%40100.00%1985200749.08%963200348.08%529105450.19%158710901575500888442
29Tucson Roadrunners2020000057-21010000023-11010000034-100.000591400745551104057660957734521911494125.00%20100.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
30W-B/Scranton Penguins220000001037110000006151100000042241.000101929007455511057576609577345415124311100.00%60100.00%0985200749.08%963200348.08%529105450.19%158710901575500888442
Total6726290541218618513313140240093912341315030129394-1700.5221863275131374555110178457660957734177250838112691823117.03%1522384.87%1985200749.08%963200348.08%529105450.19%158710901575500888442
_Since Last GM Reset6726290541218618513313140240093912341315030129394-1700.5221863275131374555110178457660957734177250838112691823117.03%1522384.87%1985200749.08%963200348.08%529105450.19%158710901575500888442
_Vs Conference3613180310197103-618511011004353-1018870200154504340.47297169266007455511096157660957734983276213709941718.09%781580.77%0985200749.08%963200348.08%529105450.19%158710901575500888442
_Vs Division1777031014449-5826011001922-3951020012527-2220.64744741180074555110441576609577344681427430943613.95%33584.85%0985200749.08%963200348.08%529105450.19%158710901575500888442

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
6770W218632751317841772508381126913
All Games
GPWLOTWOTL SOWSOLGFGA
6726295412186185
Home Games
GPWLOTWOTL SOWSOLGFGA
33131424009391
Visitor Games
GPWLOTWOTL SOWSOLGFGA
34131530129394
Last 10 Games
WLOTWOTL SOWSOL
550000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1823117.03%1522384.87%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
5766095773474555110
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
985200749.08%963200348.08%529105450.19%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
158710901575500888442


Last Played Games
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
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)
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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
13Laval Rocket1Toronto Marlies4BWBoxScore
429Iowa Wild2Toronto Marlies3BWBoxScore
643Rockford IceHogs2Toronto Marlies1BLBoxScore
966Toronto Marlies3Charlotte Checkers2AWBoxScore
1072Toronto Marlies3Syracuse Crunch2AWBoxScore
1288Toronto Marlies2Hershey Bears1AWBoxScore
14110Toronto Marlies2Texas Stars0AWBoxScore
15120Toronto Marlies1Milwaukee Admirals2ALBoxScore
17134Ontario Reign1Toronto Marlies3BWBoxScore
19144Toronto Marlies3Providence Bruins2AWXBoxScore
21163Rochester Americans2Toronto Marlies0BLBoxScore
22172Syracuse Crunch3Toronto Marlies2BLXBoxScore
24189Belleville Senators3Toronto Marlies2BLBoxScore
26203Calgary Wranglers2Toronto Marlies4BWBoxScore
27213Abbotsford Canucks4Toronto Marlies3BLXBoxScore
31244Toronto Marlies3Grand Rapids Griffins2AWBoxScore
34270Toronto Marlies1Iowa Wild2ALBoxScore
37295Toronto Marlies3Rockford IceHogs5ALBoxScore
40316Toronto Marlies4W-B/Scranton Penguins2AWBoxScore
42333Coachella Valley Firebirds2Toronto Marlies4BWBoxScore
43341Charlotte Checkers6Toronto Marlies3BLBoxScore
46366Providence Bruins3Toronto Marlies1BLBoxScore
49391Toronto Marlies4Belleville Senators3AWXBoxScore
51406Toronto Marlies1Bridgeport Islanders4ALBoxScore
52415Milwaukee Admirals0Toronto Marlies2BWBoxScore
54432Toronto Marlies3Hartford Wolf Pack4ALBoxScore
56448Cleveland Monsters3Toronto Marlies2BLBoxScore
58466W-B/Scranton Penguins1Toronto Marlies6BWBoxScore
61490Hartford Wolf Pack3Toronto Marlies2BLBoxScore
63507Toronto Marlies2Rochester Americans3ALXXBoxScore
64516Toronto Marlies2Cleveland Monsters3ALBoxScore
66532Belleville Senators4Toronto Marlies2BLBoxScore
68549Toronto Marlies4Cleveland Monsters5ALBoxScore
70564Chicago Wolves3Toronto Marlies2BLBoxScore
72587Toronto Marlies2San Diego Gulls4ALBoxScore
73594Toronto Marlies4Ontario Reign5ALXXBoxScore
76618Toronto Marlies2San Jose Barracuda1AWBoxScore
78627San Jose Barracuda4Toronto Marlies5BWXBoxScore
79635Toronto Marlies2Bridgeport Islanders3ALBoxScore
81653Colorado Eagles3Toronto Marlies2BLXBoxScore
83671Grand Rapids Griffins3Toronto Marlies1BLBoxScore
85691Toronto Marlies4Bakersfield Condors3AWXXBoxScore
86699Toronto Marlies2Calgary Wranglers1AWBoxScore
88714Toronto Marlies3Abbotsford Canucks2AWXBoxScore
90730Toronto Marlies6Coachella Valley Firebirds4AWBoxScore
93749Manitoba Moose7Toronto Marlies9BWBoxScore
95774Toronto Marlies0Manitoba Moose3ALBoxScore
96779Bridgeport Islanders1Toronto Marlies2BWBoxScore
99800Texas Stars0Toronto Marlies4BWBoxScore
100812Toronto Marlies4Belleville Senators2AWBoxScore
102827Springfield Thunderbirds3Toronto Marlies2BLXBoxScore
104843Lehigh Valley Phantoms5Toronto Marlies1BLBoxScore
105853San Diego Gulls2Toronto Marlies4BWBoxScore
107871Toronto Marlies2Springfield Thunderbirds1AWBoxScore
109890Toronto Marlies3Tucson Roadrunners4ALBoxScore
110899Toronto Marlies2Henderson Silver Knights4ALBoxScore
113921Toronto Marlies2Colorado Eagles3ALBoxScore
115935Henderson Silver Knights3Toronto Marlies2BLBoxScore
117954Tucson Roadrunners3Toronto Marlies2BLBoxScore
118959Hartford Wolf Pack5Toronto Marlies1BLBoxScore
120979Providence Bruins2Toronto Marlies4BWBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
1231003Rochester Americans4Toronto Marlies5BWXBoxScore
1251017Toronto Marlies3Providence Bruins4ALBoxScore
1261027Toronto Marlies4Laval Rocket3AWBoxScore
1281042Toronto Marlies2Lehigh Valley Phantoms3ALBoxScore
1301060Chicago Wolves1Toronto Marlies3BWBoxScore
1321075Toronto Marlies5Lehigh Valley Phantoms2AWBoxScore
1341090Toronto Marlies-Hershey Bears-
1361106Bakersfield Condors-Toronto Marlies-
1391131Hershey Bears-Toronto Marlies-
1401139Toronto Marlies-Chicago Wolves-
1421154Utica Comets-Toronto Marlies-
1441173Toronto Marlies-Rochester Americans-
1451182Charlotte Checkers-Toronto Marlies-
1471197Syracuse Crunch-Toronto Marlies-
1501223Toronto Marlies-Laval Rocket-
1521238W-B/Scranton Penguins-Toronto Marlies-
1531244Toronto Marlies-Utica Comets-
1551263Utica Comets-Toronto Marlies-
1571281Grand Rapids Griffins-Toronto Marlies-
1591294Toronto Marlies-Charlotte Checkers-
1601306Toronto Marlies-Syracuse Crunch-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
8 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,414,946$ 1,520,000$ 1,520,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
9,500$ 1,414,946$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 28 9,500$ 266,000$




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