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Marlies
GP: 80 | W: 36 | L: 36 | OTL: 8 | P: 80
GF: 305 | GA: 328 | PP%: 19.94% | PK%: 78.33%
GM : Pascal Landry | Morale : 28 | Team Overall : 65

Game Center
Phantoms
40-31-9, 89pts
2
FINAL
3 Marlies
36-36-8, 80pts
Team Stats
W1StreakL1
21-15-4Home Record21-13-6
19-16-5Home Record15-23-2
5-4-1Last 10 Games5-4-1
4.16Goals Per Game3.81
3.93Goals Against Per Game4.10
24.62%Power Play Percentage19.94%
77.88%Penalty Kill Percentage78.33%
Marlies
36-36-8, 80pts
2
FINAL
7 Senators
42-29-9, 93pts
Team Stats
L1StreakW4
21-13-6Home Record22-17-1
15-23-2Home Record20-12-8
5-4-1Last 10 Games5-4-1
3.81Goals Per Game4.10
4.10Goals Against Per Game4.05
19.94%Power Play Percentage25.50%
78.33%Penalty Kill Percentage78.70%
Team Leaders
Goals
Aleksi Saarela
44
Assists
Pierre-Olivier Joseph
72
Points
Aleksi Saarela
94
Plus/Minus
Mathieu Olivier
11
Wins
Logan Thompson
18
Save Percentage
Maxime Lagace
0.875

Team Stats
Goals For
305
3.81 GFG
Shots For
2469
30.86 Avg
Power Play Percentage
19.9%
62 GF
Offensive Zone Start
36.0%
Goals Against
328
4.10 GAA
Shots Against
2542
31.78 Avg
Penalty Kill Percentage
78.3%%
65 GA
Defensive Zone Start
36.9%
Team Info

General ManagerPascal Landry
CoachGuy Boucher
DivisionFritz-Kraatz
ConferenceRobert-Lebel
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,731
Season Tickets300


Roster Info

Pro Team32
Farm Team18
Contract Limit50 / 250
Prospects0


Filter Tips
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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 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
1Aleksi Saarela (R)X100.007525808472767778727377677960505649730221900,000$
2Tyler Benson (R)X100.008143757782658176637677746156466041730211900,000$
3Martin Necas (R)X100.006734817562747675849079576349446848720201950,000$
4Mathieu Olivier (R)X100.008043787881657473697574696753495339720221900,000$
5Alex Formenton (R)X100.007423866887697372697282616150447148700202950,000$
6Joel Farabee (R)X100.005737808557726587746870648843428131700191500,000$
7Kole Sherwood (R)X100.008441737372638073627373686047464735690221900,000$
8Lias Andersson (R)X100.006237837073797069637767716249476035680212750,000$
9Matthew Highmore (R)X100.007321826671717473767370567148504526670232500,000$
10Isac Lundestrom (R)X100.006034726272637264707377586743456848650201500,000$
11Otto Koivula (R)X100.005834696173706372716172537044445135640211750,000$
12Arthur Kaliyev (R)X100.006541726858636758686666526640407838610182500,000$
13Pierre-Olivier Joseph (R)X100.006028839069787891458767745857447231740202975,000$
14Lucas Carlsson (R)X100.007538887474747369506960755655475540710221900,000$
15Rasmus Dahlin (R)X100.005935828961637288438267725244427948700191500,000$
16Keaton ThompsonX100.006639757665647669537664755955513925690241600,000$
17Dennis Gilbert (R)X100.007438787161686757487355774348483649680231500,000$
18Jacob Bernard-Docker (R)X100.005943666166665764446156654741416719610191500,000$
Scratches
1Hugh McGing (R)X100.007444746980577369547467606045465920660211500,000$
2Jakob Forsbacka-Karlsson (R)X100.007141687059635958645671595846463820620231550,000$
3Samuel Fagemo (R)X100.005426756466606268545875496141427120610192500,000$
4Jonathan Davidsson (R)X100.006122736264616063617257465844484620590222650,000$
5Vasili Podkolzin (R)X100.007634556675567160565661554740407019590182500,000$
6Jan Jenik (R)X100.006533646877576659546255514941416420580191500,000$
7Jonathan Gruden (R)X100.006446595864516660456259485041416318560191500,000$
8Blake Murray (R)X100.005921585059575057524956355640406920510182500,000$
9Dmitri Samorukov (R)X94.026524847264637452396953774843435818660202500,000$
10Xavier Bernard (R)X100.005430636750435468326745593741416419560191500,000$
TEAM AVERAGE99.79673474716865696958706662594745603165
Filter Tips
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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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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
1Maxime Lagace100.00707069757276797573706957543768720261900,000$
2Logan Thompson100.00826077827869617372608851486068700222800,000$
Scratches
1Veini Vehvilainen100.00737476605672726158807349495420650221500,000$
2Matthew Thiessen100.00593951656447545755465341416120540191500,000$
TEAM AVERAGE100.0071616871686667676564715048534465
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Guy Boucher73787278387865CAN444500,000$


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
1Aleksi SaarelaMarlies (TOR)C74445094-65001421802566216117.19%52168822.821114252725300062214049.74%25133726011.11050001022
2Martin NecasMarlies (TOR)RW80434487-8480153692506615017.20%31159119.89121123402611015653158.39%1375223011.0913000872
3Pierre-Olivier JosephMarlies (TOR)D74137285842093153258931205.04%108201027.1781725472640338219010%06963100.8501000451
4Tyler BensonMarlies (TOR)LW69314576-36801311081806410117.22%35139420.214121613201202102004346.08%1023520021.0914000541
5Joel FarabeeMarlies (TOR)LW77344074046084842488214413.71%30130616.974812311591011236152.34%1285921001.13120001211
6Mathieu OlivierMarlies (TOR)RW8030417111375140882075913614.49%30140817.6169152121822461103052.17%694222101.0111001127
7Rasmus DahlinMarlies (TOR)D80114657-53408213617477816.32%101190023.756121824238022719920100.00%13462000.6000000221
8Alex FormentonMarlies (TOR)LW80222042-1260116611315210516.79%27118914.87426711901121074137.74%531717000.7101000121
9Lucas CarlssonMarlies (TOR)D7862935860881639127346.59%105188124.12369152540222233100%01967000.3700000001
10Matthew HighmoreMarlies (TOR)C68131831-9160716767323619.40%1990513.322354881011321053.28%51895000.6800000002
11Lias AnderssonMarlies (TOR)C6491827760879176205311.84%1897315.2224681320000511147.16%7041312000.5500000021
12Kole SherwoodMarlies (TOR)RW74131326-1644011163112516911.61%2684411.420000150112170241.94%311715000.6201000211
13Keaton ThompsonMarlies (TOR)D7312324-9635941006031231.67%83144819.8401121730001158000%02142000.3300000010
14Isac LundestromMarlies (TOR)C80111021-19220656371264715.49%1983010.39000050003551050.00%3561715000.5100000011
15Otto KoivulaMarlies (TOR)LW72119205220443476193414.47%155067.04000016000032058.82%3456000.7900000010
16Dmitri SamorukovMarlies (TOR)D6901111-182028772819140%5888412.82011019000048000%0524000.2500000001
17Arthur KaliyevMarlies (TOR)RW773811-1026062294212307.14%106198.0400002000000043.75%16310000.3600000010
18Dennis GilbertMarlies (TOR)D8001010-1239564875318200%59112814.11000035011060000%0538000.1801001000
19Jakob Forsbacka-KarlssonMarlies (TOR)C42336010032152781511.11%52515.9900001000011049.44%8936000.4800000110
20Hugh McGingMarlies (TOR)LW37516-9100402242192611.90%113178.5800001000041054.55%1164000.3800000101
21Jacob Bernard-DockerMarlies (TOR)D33011-1180102212270%1434710.5400000000013000%004000.0600000000
22Xavier BernardMarlies (TOR)D12011-440100010%2473.950000000003000%011000.4200000000
23Jonathan DavidssonMarlies (TOR)RW25011400756250%5903.62000010001110040.00%1001000.2200000000
24Vasili PodkolzinMarlies (TOR)LW18000-200002100%0261.450000000003000%00000000000000
25Samuel FagemoMarlies (TOR)LW17000-100110110%0321.92000010000180050.00%61000000000000
Team Total or Average1533303514817-10161915174617182469843141312.27%8632362815.4162100162239246771219551864341049.90%4778470504240.69419002363434
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
1Logan ThompsonMarlies (TOR)50182230.8734.022686211801414742530.71474436110
2Maxime LagaceMarlies (TOR)41181450.8753.922145001401123534220.636113644111
Team Total or Average91363680.8743.974831213202537127675188080221


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 Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force 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
Aleksi SaarelaMarlies (TOR)C221997-01-01FINYes200 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Alex FormentonMarlies (TOR)LW201999-01-01CANYes195 Lbs6 ft3NoNoFree AgentNoNo22024-09-24FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------
Arthur KaliyevMarlies (TOR)RW182001-01-01UZBYes209 Lbs6 ft2NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Link
Blake MurrayMarlies (TOR)C182001-01-01CANYes190 Lbs6 ft2NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Link
Dennis GilbertMarlies (TOR)D231996-01-01USAYes216 Lbs6 ft2NoNoFree AgentNoNo12024-09-24FalseFalsePro & Farm500,000$0$0$No---------------------------
Dmitri Samorukov (Out of Payroll)Marlies (TOR)D201999-01-01RUSYes188 Lbs6 ft3NoNoFree AgentNoNo22024-09-24FalseFalsePro & Farm500,000$0$0$Yes500,000$--------500,000$--------No--------
Hugh McGingMarlies (TOR)LW211998-01-01USAYes176 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Isac LundestromMarlies (TOR)C201999-01-01SWEYes193 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Jacob Bernard-DockerMarlies (TOR)D192000-01-01CANYes190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Jakob Forsbacka-KarlssonMarlies (TOR)C231996-01-01SWEYes184 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm550,000$0$0$No---------------------------
Jan JenikMarlies (TOR)RW192000-01-01CZEYes185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Joel FarabeeMarlies (TOR)LW192000-01-01USAYes180 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Jonathan DavidssonMarlies (TOR)RW221997-01-01SWEYes181 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm650,000$0$0$No650,000$--------650,000$--------No--------
Jonathan GrudenMarlies (TOR)C192000-01-01USAYes172 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Keaton ThompsonMarlies (TOR)D241995-01-01USANo185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm600,000$0$0$No---------------------------
Kole SherwoodMarlies (TOR)RW221997-01-01USAYes212 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Lias AnderssonMarlies (TOR)C211998-01-01SWEYes185 Lbs6 ft1NoNoFree Agent2024-08-01NoNo22024-09-24FalseFalsePro & Farm750,000$0$0$No850,000$--------750,000$--------No--------
Logan ThompsonMarlies (TOR)G221997-01-01CANNo201 Lbs6 ft4NoNoFree AgentNoNo22024-09-24FalseFalsePro & Farm800,000$0$0$No900,000$--------800,000$--------No--------
Lucas CarlssonMarlies (TOR)D221997-01-01SWEYes190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Martin NecasMarlies (TOR)RW201999-01-01CZEYes189 Lbs6 ft2NoNoFree AgentNoNo12024-09-24FalseFalsePro & Farm950,000$0$0$No---------------------------
Mathieu OlivierMarlies (TOR)RW221997-01-01CANYes209 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Matthew HighmoreMarlies (TOR)C231996-01-01CANYes188 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------
Matthew ThiessenMarlies (TOR)G192000-01-01CANNo208 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Maxime LagaceMarlies (TOR)G261993-01-01CANNo190 Lbs6 ft0NoNoFree AgentNoNo12024-09-24FalseFalsePro & Farm900,000$0$0$No---------------------------
Otto KoivulaMarlies (TOR)LW211998-01-01FINYes220 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------
Pierre-Olivier JosephMarlies (TOR)D201999-01-01CANYes185 Lbs6 ft2NoNoFree AgentNoNo22024-09-24FalseFalsePro & Farm975,000$0$0$No1,750,000$--------975,000$--------No--------
Rasmus DahlinMarlies (TOR)D192000-01-01SWEYes202 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Samuel FagemoMarlies (TOR)LW192000-01-01SWEYes201 Lbs6 ft0NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Link
Tyler BensonMarlies (TOR)LW211998-01-01CANYes190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Vasili PodkolzinMarlies (TOR)LW182001-01-01RUSYes190 Lbs6 ft1NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Link
Veini VehvilainenMarlies (TOR)G221997-01-01FINNo174 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Xavier BernardMarlies (TOR)D192000-01-01CANYes200 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3220.72193 Lbs6 ft11.34652,344$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tyler BensonAleksi SaarelaMartin Necas40122
2Joel FarabeeLias AnderssonMathieu Olivier30122
3Alex FormentonMatthew HighmoreKole Sherwood20122
4Otto KoivulaIsac LundestromArthur Kaliyev10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Pierre-Olivier JosephRasmus Dahlin40122
2Lucas CarlssonKeaton Thompson30122
3Dennis GilbertJacob Bernard-Docker20122
4Pierre-Olivier JosephRasmus Dahlin10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Joel FarabeeAleksi SaarelaMartin Necas60122
2Tyler BensonLias AnderssonMathieu Olivier40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Pierre-Olivier JosephRasmus Dahlin60122
2Lucas CarlssonKeaton Thompson40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Aleksi SaarelaTyler Benson60122
2Lias AnderssonAlex Formenton40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Pierre-Olivier JosephLucas Carlsson60122
2Rasmus DahlinKeaton Thompson40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Aleksi Saarela60122Pierre-Olivier JosephLucas Carlsson60122
2Lias Andersson40122Rasmus DahlinKeaton Thompson40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Aleksi SaarelaTyler Benson60122
2Lias AnderssonMathieu Olivier40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Pierre-Olivier JosephRasmus Dahlin60122
2Lucas CarlssonKeaton Thompson40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Joel FarabeeAleksi SaarelaMartin NecasPierre-Olivier JosephRasmus Dahlin
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Tyler BensonAleksi SaarelaMathieu OlivierPierre-Olivier JosephRasmus Dahlin
Extra Forwards
Normal PowerPlayPenalty Kill
Alex Formenton, Joel Farabee, Kole SherwoodAlex Formenton, Joel FarabeeAlex Formenton
Extra Defensemen
Normal PowerPlayPenalty Kill
Keaton Thompson, Dennis Gilbert, Jacob Bernard-DockerKeaton ThompsonKeaton Thompson, Dennis Gilbert
Penalty Shots
Tyler Benson, Aleksi Saarela, Martin Necas, Mathieu Olivier, Alex Formenton
Goalie
#1 : Logan Thompson, #2 : Maxime Lagace
Custom OT Lines Forwards
Tyler Benson, Aleksi Saarela, Martin Necas, Mathieu Olivier, Alex Formenton, Joel Farabee, Kole Sherwood, Lias Andersson, Matthew Highmore, Isac Lundestrom
Custom OT Lines Defensemen
Pierre-Olivier Joseph, Lucas Carlsson, Rasmus Dahlin, Keaton Thompson, Dennis Gilbert


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
1Admirals31200000511-620200000310-71100000021120.333581300961069781167928278283888282675900.00%13284.62%0832171048.65%887174950.71%665128651.71%173396716677361442734
2Americans30201000910-1100010004312020000057-220.33391524009610697810479282782838842118581200.00%9366.67%0832171048.65%887174950.71%665128651.71%173396716677361442734
3Barracuda42100100181441000010034-1321000001510550.62518304800961069781007928278283813447318915213.33%13376.92%0832171048.65%887174950.71%665128651.71%173396716677361442734
4Bears21000001541110000003121000000123-130.7505101500961069785779282782838511414444125.00%70100.00%0832171048.65%887174950.71%665128651.71%173396716677361442734
5Canucks20200000712-51010000036-31010000046-200.000781500961069786979282782838621710557114.29%5420.00%0832171048.65%887174950.71%665128651.71%173396716677361442734
6Checkers21100000871110000007521010000012-120.5008152300961069785979282782838712212527228.57%6183.33%0832171048.65%887174950.71%665128651.71%173396716677361442734
7Comets210010001192110000005411000100065141.0001121320096106978657928278283879231641200.00%8275.00%0832171048.65%887174950.71%665128651.71%173396716677361442734
8Condors311000101415-12100001013941010000016-540.667142337009610697891792827828389444316511327.27%10280.00%0832171048.65%887174950.71%665128651.71%173396716677361442734
9Crunch31101000141401100000053220101000911-240.667142337009610697889792827828381042120611317.69%100100.00%1832171048.65%887174950.71%665128651.71%173396716677361442734
10Eagles20100001811-31000000145-11010000046-210.2508152310961069786679282782838652718417342.86%9277.78%1832171048.65%887174950.71%665128651.71%173396716677361442734
11Firebirds30200010913-420100010810-21010000013-220.333913221096106978887928278283810338187810330.00%8362.50%1832171048.65%887174950.71%665128651.71%173396716677361442734
12Griffins31200000916-71010000049-52110000057-220.33391726009610697884792827828388130205310330.00%10280.00%0832171048.65%887174950.71%665128651.71%173396716677361442734
13Gulls33000000166102200000010371100000063361.0001628440096106978927928278283810521225614428.57%11190.91%1832171048.65%887174950.71%665128651.71%173396716677361442734
14Icehogs312000001113-22110000067-11010000056-120.33311172800961069789679282782838984324749222.22%12375.00%1832171048.65%887174950.71%665128651.71%173396716677361442734
15Islander2020000039-61010000027-51010000012-100.00034700961069786579282782838632512468225.00%6350.00%0832171048.65%887174950.71%665128651.71%173396716677361442734
16Little Stars513010002127-620101000770312000001420-640.40021375800961069781617928278283817844468715640.00%24579.17%0832171048.65%887174950.71%665128651.71%173396716677361442734
17Moose422000001712531200000101001100000072540.50017264310961069781157928278283812051389619421.05%18383.33%2832171048.65%887174950.71%665128651.71%173396716677361442734
18Penguins2110000056-1110000002111010000035-220.500591400961069785379282782838652518534125.00%9277.78%0832171048.65%887174950.71%665128651.71%173396716677361442734
19Phantoms6320010020191320001001055312000001014-470.583203252019610697818079282782838177566012928310.71%29679.31%0832171048.65%887174950.71%665128651.71%173396716677361442734
20Punishers22000000972110000004311100000054141.0009142300961069787879282782838501516418225.00%8187.50%0832171048.65%887174950.71%665128651.71%173396716677361442734
21Rockets614000012226-43110000112111303000001015-530.250223961109610697818679282782838179673915234514.71%17570.59%0832171048.65%887174950.71%665128651.71%173396716677361442734
22Senators413000001218-61010000023-1312000001015-520.25012203200961069781287928278283813157288816212.50%14471.43%0832171048.65%887174950.71%665128651.71%173396716677361442734
23Thunderbirds32000100161332200000012841000010045-150.833162844009610697884792827828389940188115533.33%9277.78%0832171048.65%887174950.71%665128651.71%173396716677361442734
24Wolfpack210001009811000010056-11100000042230.75091625009610697870792827828386719163310220.00%9188.89%0832171048.65%887174950.71%665128651.71%173396716677361442734
25Wranglers632001002728-1311001001517-2321000001211170.58327467310961069781737928278283819468509824520.83%26580.77%0832171048.65%887174950.71%665128651.71%173396716677361442734
Total80303604523305328-2340171302422159157240132302101146171-25800.5003055148195196106978246979282782838254286362117463116219.94%3006578.33%7832171048.65%887174950.71%665128651.71%173396716677361442734
_Since Last GM Reset80303604523305328-2340171302422159157240132302101146171-25800.5003055148195196106978246979282782838254286362117463116219.94%3006578.33%7832171048.65%887174950.71%665128651.71%173396716677361442734
_Vs Conference48192301311180188-824990131192911241014000008897-9460.4791803014813196106978146579282782838148553338710332013316.42%1823978.57%4832171048.65%887174950.71%665128651.71%173396716677361442734
_Vs Division1878002016973-49420020137334936000003240-8170.47269117186219610697853979282782838550191149379861315.12%721677.78%0832171048.65%887174950.71%665128651.71%173396716677361442734

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8080L130551481924692542863621174651
All Games
GPWLOTWOTL SOWSOLGFGA
8030364523305328
Home Games
GPWLOTWOTL SOWSOLGFGA
4017132422159157
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4013232101146171
Last 10 Games
WLOTWOTL SOWSOL
440110
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3116219.94%3006578.33%7
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
7928278283896106978
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
832171048.65%887174950.71%665128651.71%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
173396716677361442734


Last Played Games
Filter Tips
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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
12Marlies3Little Stars8LBoxScore
522Moose5Marlies3LBoxScore
732Wranglers7Marlies6LXR1BoxScore
942Marlies4Senators3WBoxScore
1362Rockets2Marlies6WR1BoxScore
1571Marlies3Rockets4LBoxScore
1886Phantoms0Marlies5WR1BoxScore
1994Marlies1Barracuda5LBoxScore
21104Marlies5Wranglers3WR1BoxScore
22113Marlies6Phantoms2WBoxScore
25128Moose2Marlies6WBoxScore
28144Wranglers4Marlies5WR1BoxScore
30157Marlies4Griffins2WBoxScore
32165Marlies2Phantoms7LR1BoxScore
34177Icehogs5Marlies3LBoxScore
37192Marlies5Crunch4WXBoxScore
39203Gulls2Marlies7WBoxScore
41209Marlies6Comets5WXBoxScore
46229Griffins9Marlies4LBoxScore
49247Americans3Marlies4WXBoxScore
51257Marlies1Firebirds3LBoxScore
54275Barracuda4Marlies3LXBoxScore
57288Marlies5Punishers4WBoxScore
59300Islander7Marlies2LBoxScore
63321Thunderbirds4Marlies5WBoxScore
65329Marlies1Checkers2LBoxScore
67342Marlies2Phantoms5LR1BoxScore
70356Moose3Marlies1LBoxScore
72369Marlies2Bears3LXXBoxScore
73380Admirals6Marlies1LBoxScore
78399Wranglers6Marlies4LR1BoxScore
80413Marlies4Wolfpack2WBoxScore
82421Marlies1Griffins5LBoxScore
83430Eagles5Marlies4LXXBoxScore
86444Marlies5Icehogs6LBoxScore
89456Admirals4Marlies2LBoxScore
93479Condors4Marlies7WBoxScore
95488Marlies4Wranglers3WR1BoxScore
98503Penguins1Marlies2WBoxScore
103525Canucks6Marlies3LBoxScore
105533Marlies3Wranglers5LR1BoxScore
108550Checkers5Marlies7WBoxScore
110565Marlies4Thunderbirds5LXBoxScore
112573Marlies3Rockets4LR1BoxScore
114581Wolfpack6Marlies5LXBoxScore
116595Marlies4Rockets7LR1BoxScore
118603Marlies2Americans3LBoxScore
119613Senators3Marlies2LBoxScore
123628Marlies6Gulls3WBoxScore
125639Bears1Marlies3WBoxScore
129661Comets4Marlies5WBoxScore
131674Marlies1Islander2LBoxScore
132684Marlies1Condors6LBoxScore
134692Rockets5Marlies3LR1BoxScore
137709Marlies4Eagles6LBoxScore
138719Rockets4Marlies3LXXR1BoxScore
142739Crunch3Marlies5WBoxScore
143745Marlies6Little Stars5WBoxScore
146763Condors5Marlies6WXXBoxScore
148773Marlies4Crunch7LBoxScore
151791Gulls1Marlies3WBoxScore
153802Marlies3Penguins5LBoxScore
156814Icehogs2Marlies3WBoxScore
158825Marlies8Barracuda1WBoxScore
160833Marlies3Americans4LBoxScore
162847Punishers3Marlies4WBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
166869Little Stars4Marlies3LBoxScore
168879Marlies5Little Stars7LBoxScore
171893Little Stars3Marlies4WXBoxScore
172899Marlies6Barracuda4WBoxScore
174908Marlies2Admirals1WBoxScore
175917Marlies4Canucks6LBoxScore
177927Marlies7Moose2WBoxScore
178935Thunderbirds4Marlies7WBoxScore
183959Firebirds6Marlies3LBoxScore
187977Firebirds4Marlies5WXXBoxScore
192999Phantoms3Marlies2LXR1BoxScore
1931005Marlies4Senators5LBoxScore
1961021Phantoms2Marlies3WR1BoxScore
2001036Marlies2Senators7LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price7040
Attendance72,78936,446
Attendance PCT90.99%91.12%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2731 - 91.03% 172,018$6,880,724$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
2,550,768$ 2,087,500$ 2,087,500$ 500,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
10,087$ 2,027,302$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 12,809$ 0$




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

Marlies Goalies Stat Leaders (Regular Season)

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

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

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

Marlies Goalies Stat Leaders (Play-Off)

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