Griffins

GP: 46 | W: 45 | L: 1 | OTL: 0 | P: 90
GF: 264 | GA: 80 | PP%: 22.97% | PK%: 87.92%
GM : Laurent Laporte | Morale : 50 | Team Overall : 62
Next Games #791 vs Stars

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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 SP
1Andrew Cogliano0XX100.006633877166818964626360836290763950680
2Wyatt Johnston0X100.005535937674867574736772597759628350670
3Jonatan Berggren0XX100.006136917072828768636469627163657750660
4Julien Gauthier0X100.008240956791748068546067626566687850650
5Matt Luff0X100.007038926580847867696862636766684250650
6Carson Meyer0X100.007139736669838263666759626567664750640
7Axel Jonsson-Fjallby0X100.006538956675778364596267636665675450640
8Jack Studnicka0XX100.006935836475787963786158656863656850630
9Cole Cassels0X100.006139786270748558706657596368705350620
10Elliot Desnoyers0XX100.007336946369837259625861665762635750620
11Jaret Anderson-Dolan0XXX100.007134836472788062745763606263657250620
12Wayne Simmonds0XX100.008385616377737661656257555988763550620
13Michal Teply0X100.007238955881798157615958605662646250610
14Marc McLaughlin0X100.006639796275777459635864576265664350610
15Brandon Coe0X100.007539905584656953605654585262646350580
16Andrej Sustr0X100.008343756299808157306655684875762650680
17Jakub Galvas0X100.005636916365858459306052644764664850630
18Jeremie Poirier0X100.006840766177837258306556594961636650620
19Josh Jacobs0X100.007139865580717754305655574667696350610
20Brandon Davidson0X100.007342715482657053305554564672743050600
21Jett Woo0X100.006642685575698053305554574663657650590
22Xavier Bernard0X100.007540845284626851305251564563656050580
Scratches
1Riley Sutter0X100.007942785388708052595354585364666150580
2Stelio Mattheos0X100.006841745777757456575554535864666450580
3Reece Newkirk0X100.006140735570696454645752535662645650560
4Blake McLaughlin0X100.005536885264686551525353505163656450540
5Michael Callahan0X100.007139845380647252305453554564665450580
TEAM AVERAGE100.00694083617775775954605860576667575062
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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
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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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Lukas Dostal100.00748281757372747372747363696350710
2Evan Cormier100.00675657836665676667686665755950660
Scratches
TEAM AVERAGE100.0071696979706971707071706472615069
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Brent Thompson68637068807572CAN522100,000$


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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)
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
1Wyatt JohnstonGriffins (Det)C403451855560231012308016914.78%687621.907121938141178131796071.27%82500041.94110001044
2Andrew CoglianoGriffins (Det)C/LW4637478452180741382255714916.44%18103422.509112031160314132017068.65%104000021.62110001283
3Jonatan BerggrenGriffins (Det)LW/RW46294776516030702176814713.36%990919.7879165215810141026070.90%13400011.6700000267
4Matt LuffGriffins (Det)RW462245675218069591794510412.29%888119.1751116361410114803064.29%5600001.5200000263
5Julien GauthierGriffins (Det)RW462640664837586452096915512.44%973115.915914451380000154369.77%4300001.8000010372
6Axel Jonsson-FjallbyGriffins (Det)LW462428524714012371735612213.87%659813.0133612540000135064.44%4500011.7400000243
7Carson MeyerGriffins (Det)RW4610304037300595511116769.01%1057312.48123329000001053.85%3900001.3900000315
8Andrej SustrGriffins (Det)D3982331436951132838203921.05%3593023.87279191411121138100.00%000000.6700100103
9Jack StudnickaGriffins (Det)C/RW46819273014020418430539.52%1148610.57101722000000069.46%23900001.1100000131
10Jakub GalvasGriffins (Det)D3691827500092247103019.15%2887124.21145211290112156300.00%000000.6200000201
11Jeremie PoirierGriffins (Det)D413202338461060152582312.00%3972217.633251395011093200.00%000000.6400101002
12Jett WooGriffins (Det)D3101414292604279680.00%2050916.43033022000051000.00%000000.5500000000
13Jaret Anderson-DolanGriffins (Det)C/LW/RW40931286013164383820.93%02015.0300001000010169.23%1300001.1900000121
14Elliot DesnoyersGriffins (Det)C/LW46381188012184815366.25%52615.690225180001190171.58%9500000.8400000001
15Wayne SimmondsGriffins (Det)LW/RW4656111532048194583411.11%32996.5100012000020065.45%5500000.7300000001
16William LagessonDetroit Red WingsD1101010222016411460.00%1221019.18000216011023000.00%000000.9500000002
17Brandon DavidsonGriffins (Det)D171781316022372214.29%425715.14011138000049000.00%000000.6200000000
18Josh JacobsGriffins (Det)D2004415602586490.00%1641220.62022268000071000.00%000000.1900000000
19Cole CasselsGriffins (Det)C301121001833533.33%1742.50011051012300069.05%4200000.5300000000
20Xavier BernardGriffins (Det)D172021916020250940.00%524414.380000400008100.00%000000.1600000000
21Brandon CoeGriffins (Det)RW14000000100000.00%0141.020000500002000.00%000000.0000000000
22Michal TeplyGriffins (Det)RW16000020231000.00%0342.18000110000250045.45%2200000.0000000000
23Marc McLaughlinGriffins (Det)C15000100000000.00%040.270000000002000.00%100000.0000000000
Team Total or Average781231421652634372207576991716509121413.46%2451114414.27447912328913997132040127039569.12%264900081.1722211394139
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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)
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
1Lukas DostalGriffins (Det)4644100.9171.75274546809680200.0000460300
2Evan CormierGriffins (Det)11001.0000.0020000170001.0002046000
Team Total or Average4745100.9191.74276546809850201.00024646300


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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Andrej SustrD331990-11-29No217 Lbs6 ft7NoNoNo3UFAPro & Farm650,000$0$0$NoLink
Andrew CoglianoC/LW361987-06-14No179 Lbs5 ft10NoNoNo4UFAPro & Farm680,000$0$0$NoLink / NHL Link
Axel Jonsson-FjallbyLW261998-02-10No189 Lbs6 ft1NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Blake McLaughlinLW242000-02-14No160 Lbs5 ft11NoNoNo4RFAPro & Farm500,000$0$0$NoLink
Brandon CoeRW222001-12-01No188 Lbs6 ft4NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Brandon DavidsonD321991-08-21No209 Lbs6 ft2NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Carson MeyerRW261997-08-18No184 Lbs5 ft11NoNoNo4RFAPro & Farm300,000$0$0$NoLink
Cole CasselsC281995-05-04No180 Lbs6 ft0NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Elliot DesnoyersC/LW222002-01-21No183 Lbs5 ft11NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Evan CormierG261997-11-06No200 Lbs6 ft3NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jack StudnickaC/RW251999-02-18No187 Lbs6 ft1NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Jakub GalvasD241999-06-15No161 Lbs5 ft11NoNoNo3RFAPro & Farm300,000$0$0$NoLink
Jaret Anderson-DolanC/LW/RW241999-09-12No200 Lbs5 ft11NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Jeremie PoirierD212002-06-02No196 Lbs6 ft1NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Jett WooD232000-07-27No205 Lbs6 ft0NoNoNo2RFAPro & Farm500,000$0$0$NoLink
Jonatan BerggrenLW/RW232000-07-16No197 Lbs5 ft11NoNoNo3RFAPro & Farm500,000$0$0$NoLink
Josh JacobsD281996-02-15No200 Lbs6 ft2NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Julien GauthierRW261997-10-15No224 Lbs6 ft4NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Lukas DostalG232000-06-22No174 Lbs6 ft2NoNoNo2RFAPro & Farm500,000$0$0$NoLink
Marc McLaughlinC241999-07-26No203 Lbs6 ft0NoNoNo1RFAPro & Farm300,000$0$0$NoLink
Matt LuffRW261997-05-05No196 Lbs6 ft2NoNoNo4RFAPro & Farm500,000$0$0$NoLink / NHL Link
Michael CallahanD241999-09-23No197 Lbs6 ft2NoNoNo1RFAPro & Farm300,000$0$0$NoLink
Michal TeplyRW222001-05-27No187 Lbs6 ft3NoNoNo2ELCPro & Farm500,000$0$0$NoLink
Reece NewkirkC232001-02-20No178 Lbs6 ft0NoNoNo3RFAPro & Farm300,000$0$0$NoLink
Riley SutterC241999-10-25No210 Lbs6 ft4NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Stelio MattheosRW241999-06-14No196 Lbs6 ft1NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Wayne SimmondsLW/RW351988-08-26No184 Lbs6 ft2NoNoNo1UFAPro & Farm600,000$0$0$NoLink / NHL Link
Wyatt JohnstonC202003-05-14No185 Lbs6 ft1NoNoNo4ELCPro & Farm900,000$0$0$NoLink
Xavier BernardD232000-06-01No205 Lbs6 ft3NoNoNo3RFAPro & Farm300,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2925.41192 Lbs6 ft12.59452,759$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Andrew CoglianoWyatt JohnstonMatt Luff40122
2Jonatan BerggrenJack StudnickaJulien Gauthier30122
3Axel Jonsson-FjallbyWayne SimmondsCarson Meyer20122
4Elliot DesnoyersJack StudnickaWayne Simmonds10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Andrej SustrJakub Galvas40122
2Jeremie PoirierJosh Jacobs30122
3Jett WooXavier Bernard20122
4Andrej SustrJakub Galvas10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Andrew CoglianoWyatt JohnstonMatt Luff60122
2Jonatan BerggrenJack StudnickaJulien Gauthier40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Andrej SustrJakub Galvas60122
2Jeremie PoirierJosh Jacobs40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Andrew CoglianoWyatt Johnston60122
2Jonatan BerggrenMatt Luff40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Andrej SustrJakub Galvas60122
2Jeremie PoirierJosh Jacobs40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Andrew Cogliano60122Andrej SustrJakub Galvas60122
2Wyatt Johnston40122Jeremie PoirierJosh Jacobs40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Wyatt JohnstonAndrew Cogliano60122
2Matt LuffJonatan Berggren40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Andrej SustrJakub Galvas60122
2Jeremie PoirierJosh Jacobs40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Andrew CoglianoWyatt JohnstonJonatan BerggrenAndrej SustrJakub Galvas
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Wyatt JohnstonAndrew CoglianoMatt LuffAndrej SustrJakub Galvas
Extra Forwards
Normal PowerPlayPenalty Kill
Wyatt Johnston, Andrew Cogliano, Jonatan BerggrenWyatt Johnston, Andrew CoglianoAndrew Cogliano
Extra Defensemen
Normal PowerPlayPenalty Kill
Jett Woo, Jeremie Poirier, Josh JacobsJett WooJeremie Poirier, Josh Jacobs
Penalty Shots
Andrew Cogliano, Wyatt Johnston, Jonatan Berggren, Matt Luff, Julien Gauthier
Goalie
#1 : Lukas Dostal, #2 : Evan Cormier
Custom OT Lines Forwards
Andrew Cogliano, Wyatt Johnston, Jonatan Berggren, Matt Luff, Julien Gauthier, Carson Meyer, Carson Meyer, Axel Jonsson-Fjallby, Wayne Simmonds, Jack Studnicka, Elliot Desnoyers
Custom OT Lines Defensemen
Andrej Sustr, Jakub Galvas, Jeremie Poirier, Josh Jacobs, Jett Woo


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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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
4690W7264472736194198527045288306
All Games
GPWLOTWOTL SOWSOLGFGA
46431101026480
Home Games
GPWLOTWOTL SOWSOLGFGA
23211001012339
Visitor Games
GPWLOTWOTL SOWSOLGFGA
23220100014141
Last 10 Games
WLOTWOTL SOWSOL
910000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2094822.97%2072587.92%9
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
637659642511689573
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1076152770.46%814119068.40%48374365.01%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
14971168771254497283


Last Played Games
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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
4 - 2023-08-134Eagles1Griffins4WBoxScore
5 - 2023-08-1419Eagles2Griffins7WBoxScore
11 - 2023-08-2040Griffins4Eagles2WBoxScore
12 - 2023-08-2155Griffins4Eagles3WXBoxScore
18 - 2023-08-2779Monsters2Griffins7WBoxScore
19 - 2023-08-2895Griffins5IceHogs1WBoxScore
23 - 2023-09-01107Griffins4Monsters1WBoxScore
26 - 2023-09-04131Griffins4Admirals1WBoxScore
32 - 2023-09-10154Marlies1Griffins8WBoxScore
33 - 2023-09-11167Marlies0Griffins10WBoxScore
37 - 2023-09-15185Wolves2Griffins7WBoxScore
39 - 2023-09-17199Griffins8Stars1WBoxScore
40 - 2023-09-18215Griffins9Stars3WBoxScore
46 - 2023-09-24241Moose5Griffins6WXXBoxScore
48 - 2023-09-26267Moose2Griffins3WBoxScore
51 - 2023-09-29271Wolves2Griffins5WBoxScore
53 - 2023-10-01280Admirals2Griffins5WBoxScore
54 - 2023-10-02297Griffins10Admirals4WBoxScore
57 - 2023-10-05309Griffins8Marlies0WBoxScore
60 - 2023-10-08317Griffins6Senators3WBoxScore
61 - 2023-10-09334Griffins5Senators2WBoxScore
62 - 2023-10-10346Griffins7Marlies1WBoxScore
65 - 2023-10-13351Stars2Griffins5WBoxScore
67 - 2023-10-15362Stars1Griffins2WBoxScore
71 - 2023-10-19388Griffins4Stars3WBoxScore
72 - 2023-10-20393Griffins5Stars1WBoxScore
79 - 2023-10-27433Griffins7IceHogs1WBoxScore
81 - 2023-10-29446Griffins11Wolves2WBoxScore
83 - 2023-10-31465Monsters0Griffins3WBoxScore
88 - 2023-11-05483Griffins7Wild2WBoxScore
89 - 2023-11-06494Griffins2Wild1WBoxScore
93 - 2023-11-10514Admirals2Griffins4WBoxScore
95 - 2023-11-12522IceHogs1Griffins6WBoxScore
96 - 2023-11-13537IceHogs0Griffins6WBoxScore
102 - 2023-11-19569Griffins7Moose1WBoxScore
103 - 2023-11-20581Griffins3Moose0WBoxScore
107 - 2023-11-24601IceHogs2Griffins8WBoxScore
109 - 2023-11-26610Senators2Griffins3WBoxScore
110 - 2023-11-27627Senators4Griffins3LBoxScore
116 - 2023-12-03661Griffins8IceHogs2WBoxScore
123 - 2023-12-10688Moose0Griffins4WBoxScore
124 - 2023-12-11703Moose3Griffins7WBoxScore
127 - 2023-12-14712Griffins6Monsters3WBoxScore
130 - 2023-12-17727Monsters1Griffins3WBoxScore
131 - 2023-12-18741Griffins7IceHogs3WBoxScore
135 - 2023-12-22763Stars2Griffins7WBoxScore
138 - 2023-12-25791Stars-Griffins-
139 - 2023-12-26802Admirals-Griffins-
142 - 2023-12-29810Wild-Griffins-
144 - 2023-12-31821Wild-Griffins-
145 - 2024-01-01835IceHogs-Griffins-
147 - 2024-01-03848Griffins-Monsters-
151 - 2024-01-07861Wolves-Griffins-
152 - 2024-01-08876Griffins-Admirals-
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2024-01-11891Griffins-Monsters-
158 - 2024-01-14908Wild-Griffins-
159 - 2024-01-15921Wild-Griffins-
162 - 2024-01-18938Griffins-Moose-
163 - 2024-01-19944Griffins-Moose-
166 - 2024-01-22971Griffins-IceHogs-
170 - 2024-01-26989Monsters-Griffins-
172 - 2024-01-281002Griffins-Wolves-
173 - 2024-01-291014Griffins-Admirals-
177 - 2024-02-021029Wolves-Griffins-
179 - 2024-02-041039IceHogs-Griffins-
180 - 2024-02-051054Griffins-IceHogs-
186 - 2024-02-111079IceHogs-Griffins-
187 - 2024-02-121098Griffins-Wolves-
188 - 2024-02-131105Griffins-Wolves-
191 - 2024-02-161114Griffins-Wild-
193 - 2024-02-181126Griffins-Wild-
195 - 2024-02-201150Admirals-Griffins-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance43,48221,650
Attendance PCT94.53%94.13%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
13 2832 - 94.39% 70,653$1,625,025$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
168,484$ 131,300$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 98,126$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
918,492$ 58 1,186$ 68,788$




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
Regular Season
1282215006302241318-7741122403101130155-254192603201111163-5259241412653110108755223970796808780251175995417014569019.74%3977082.37%21319246653.49%1182225452.44%645126251.11%190713522096577942452
1282215006302241318-7741122403101130155-254192603201111163-5259241412653110108755223970796808780251175995417014569019.74%3977082.37%21319246653.49%1182225452.44%645126251.11%190713522096577942452
1376204604204177274-97388260310086143-573812200110491131-405417730548212060615218730654625576194360789313544226214.69%3598277.16%21244220756.37%959194849.23%630115754.45%179612631897535901443
1376204604204177274-97388260310086143-573812200110491131-405417730548212060615218730654625576194360789313544226214.69%3598277.16%21244220756.37%959194849.23%630115754.45%179612631897535901443
1476145503112154299-145388250201290155-65386300110064144-803915426842200055563916730554567539217861059111383244614.20%2455677.14%11078209451.48%921192347.89%597114552.14%180312781887523895443
1476145503112154299-145388250201290155-65386300110064144-803915426842200055563916730554567539217861059111383244614.20%2455677.14%11078209451.48%921192347.89%597114552.14%180312781887523895443
158238310742025219458412315012001299237411516062201231022198252449701270100826122800738728796190859094814094205914.05%3784787.57%11511252059.96%1303223758.25%684116358.81%219315861787564975510
158238310742025219458412315012001299237411516062201231022198252449701270100826122800738728796190859094814094205914.05%3784787.57%11511252059.96%1303223758.25%684116358.81%219315861787564975510
168250200053430217213041251000222159788141251000312143944911530255185311401439462256609118447971740521104115604377517.16%4365687.16%61596263660.55%1373232958.95%725122159.38%227916801725546958507
168250200053430217213041251000222159788141251000312143944911530255185311401439462256609118447971740521104115604377517.16%4365687.16%61596263660.55%1373232958.95%725122159.38%227916801725546958507
1772421804521275141134362010022111367363362280231013968711022755017760120112847323120768724806169250594813943646517.86%3955885.32%81421228962.08%1121207654.00%643104661.47%203815141494463817435
1772421804521275141134362010022111367363362280231013968711022755017760120112847323120768724806169250594813943646517.86%3955885.32%81421228962.08%1121207654.00%643104661.47%203815141494463817435
1846431010102648018423211000101233984232200100014141100902644727360611689573194163765964259852704528832094822.97%2072587.92%91076152770.46%814119068.40%48374365.01%14971168771254497283
Total Regular Season986413441049401726306628761904932132210221691215831431152493200220027248141483144538102430665444851010781161245961681281436379501923485932492974541120217995505584216.66%462776383.51%49174142995158.14%145322672454.38%83311473156.55%2553318520225496676114785871