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Checkers
GP: 9 | W: 6 | L: 2 | OTL: 1 | P: 13
GF: 28 | GA: 22 | PP%: 21.74% | PK%: 95.83%
GM : Dan Rhéaume | Morale : 54 | Team Overall : 65
Next Games #155 vs Eagles

Game Center
Checkers
6-2-1, 13pts
4
6 Bears
5-3-1, 11pts
Team Stats
W1StreakL1
3-0-1Home Record4-1-0
3-2-0Home Record1-2-1
6-2-1Last 10 Games5-3-1
3.11Goals Per Game3.33
2.44Goals Against Per Game3.33
21.74%Power Play Percentage19.05%
95.83%Penalty Kill Percentage70.59%
Checkers
6-2-1, 13pts
3
1 PenguinsF
4-4-1, 9pts
Team Stats
W1StreakL1
3-0-1Home Record2-3-1
3-2-0Home Record2-1-0
6-2-1Last 10 Games4-4-1
3.11Goals Per Game2.89
2.44Goals Against Per Game3.33
21.74%Power Play Percentage14.29%
95.83%Penalty Kill Percentage84.62%
Eagles
4-4-1, 9pts
2025-09-13
Checkers
6-2-1, 13pts
Team Stats
W1StreakW1
3-2-0Home Record3-0-1
1-2-1Away Record3-2-0
4-4-1Last 10 Games6-2-1
3.89Goals Per Game3.11
3.56Goals Against Per Game3.11
34.62%Power Play Percentage21.74%
75.86%Penalty Kill Percentage95.83%
Checkers
6-2-1, 13pts
2025-09-16
Crunch
4-4-0, 8pts
Team Stats
W1StreakL1
3-0-1Home Record3-1-0
3-2-0Away Record1-3-0
6-2-1Last 10 Games4-4-0
3.11Goals Per Game4.00
2.44Goals Against Per Game4.00
21.74%Power Play Percentage40.00%
95.83%Penalty Kill Percentage75.00%
Checkers
6-2-1, 13pts
2025-09-18
Americans
4-3-1, 9pts
Team Stats
W1StreakW2
3-0-1Home Record4-0-0
3-2-0Away Record0-3-1
6-2-1Last 10 Games4-3-1
3.11Goals Per Game2.63
2.44Goals Against Per Game2.63
21.74%Power Play Percentage43.48%
95.83%Penalty Kill Percentage84.21%
Team Leaders
Goals
Jonatan Berggren
5
Assists
Dominic James
9
Points
Dominic James
10
Plus/Minus
Jacob Moverare
4
Wins
Marcus Hogberg
5
Save Percentage
Semyon Vyazovoi
0.933

Team Stats
Goals For
28
3.11 GFG
Shots For
280
31.11 Avg
Power Play Percentage
21.7%
5 GF
Offensive Zone Start
41.4%
Goals Against
22
2.44 GAA
Shots Against
263
29.22 Avg
Penalty Kill Percentage
95.8%%
1 GA
Defensive Zone Start
38.0%
Team Info

General ManagerDan Rhéaume
CoachSheldon Keefe
DivisionDivision Sud-Est
ConferenceConference 1
CaptainDominic James
Assistant #1Ryan Johnson
Assistant #2Sam Malinski


Arena Info

Capacity3,000
Attendance2,667
Season Tickets300


Roster Info

Pro Team30
Farm Team18
Contract Limit48 / 56
Prospects57


Filter Tips
PriorityTypeDescription
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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)
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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.
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
1Jonatan Berggren0XX100.006446937669769073637372697165486656670262900,000$
2Philip Tomasino0XX100.006345847568788171637474726772526656670251900,000$
3Dominic James (R) (C)0XXX100.006945918169747975757273717650457056670241900,000$
4Jack Studnicka0X100.0074458872697686717870687463675254566602721,200,000$
5Lucas Wallmark0X100.0061459472687792717871677462695554566603111,250,000$
6Ryan Greene (R)0XXX100.006645917570829072717372746655457056660223900,000$
7Evgeny Svechnikov0XX100.0061459373737779726469716865685354536602911,750,000$
8Ethan Cardwell0XX100.007151877768747373626773757550486650650242900,000$
9Mikael Pyyhtia0XXX100.0067459373677275726071648455544866566502421,200,000$
10Jonas Rondbjerg0XX100.006145937071697872606962795563505857640272900,000$
11David Tomasek (R)0XXX100.0065458674757073726769717069484742566403031,000,000$
12Tristen Robins0XX100.007045907266777772626970726350486656640242750,000$
13Sam Malinski (A)0X100.0067468981697677774574747166544954566702822,000,000$
14Ryan Johnson (A)0X100.006346917671748176457665745659496656670251900,000$
15Jacob Moverare0X100.0069448773747480724569727554675658566702821,350,000$
16Calle Rosen0X100.0059459771707473734572717363635246566603211,600,000$
17Ronan Seeley (R)0X100.006747887171707067456668706445457054630243750,000$
18Aleksi Heimosalmi (R)0X100.006549767369646468456867736445457053620233750,000$
Scratches
1Josiah Slavin0XX100.006345887473787271686565746361495438640272900,000$
2Kyle Maclean0X100.0072488872707079706369706863534758416402721,500,000$
3Daniil Gutik0XX100.006751817269727269626970656350486641630252750,000$
4Artem Shlaine (R)0XXX100.006347877270707067666667696445467041620243750,000$
5Cross Hanas (R)0XXX100.006148787368676769666967706445457041610243750,000$
6Derrick Pouliot0X100.0061479572737485704568687169815234416603211,750,000$
7Gustav Olofsson0X90.0259459971737270714566667564614738406503131,250,000$
8Artem Grushnikov (R)0X100.007149847172676765456566726245457041630233750,000$
9Kenneth Johnson0X100.006546907178676568456261686048465041620281800,000$
TEAM AVERAGE99.63654689737073767158696972645749595065
Filter Tips
PriorityTypeDescription
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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.
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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")
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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
1Marcus Hogberg099.007984828580778480818485595838586603121,750,000$
2Semyon Vyazovoi (R)0100.00788888787978787878807855597058650233750,000$
Scratches
1Zachary Fucale0100.00767072777869787273747247525346600311850,000$
TEAM AVERAGE99.6778818180797580777779785456545464
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Sheldon Keefe93907962818685CAN472100,000$


Filter Tips
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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
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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
# 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
1Dominic JamesCheckers (Flo)C/LW/RW91910340720214184.76%415417.14033317000000048.42%19000001.3001000002
2Jack StudnickaCheckers (Flo)C92573601318225199.09%015917.76000000001192060.87%20700000.8800000200
3Jonatan BerggrenCheckers (Flo)LW/RW95273004103061816.67%115417.19101317000001050.00%1200000.9001000110
4Ryan JohnsonCheckers (Flo)D9347-10078113527.27%1220122.34213618000022100%000000.7000000111
5Jacob MoverareCheckers (Flo)D93474160117122825.00%1118820.94011516101114000%000000.7400000001
6Calle RosenCheckers (Flo)D91562604811359.09%1019621.83101617000015000%000000.6100000100
7Ethan CardwellCheckers (Flo)LW/RW93362121016122351113.04%115517.30101316000030065.22%2300000.7700020011
8Ryan GreeneCheckers (Flo)C/LW/RW9246-200917225209.09%317719.710223170111200048.96%24100000.6800000100
9David TomasekCheckers (Flo)C/LW/RW904410087226150%213815.4300003000000033.33%1500000.5800000010
10Tristen RobinsCheckers (Flo)LW/RW9314100412661811.54%213615.1400001000001040.00%1000000.5900000010
11Jonas RondbjergCheckers (Flo)LW/RW912315536731214.29%2788.780000000012200100.00%400000.7600001000
12Ronan SeeleyCheckers (Flo)D712332051102100.00%912217.490000000007000%000000.4900000010
13Sam MalinskiCheckers (Flo)D9112-48098114119.09%718320.3801121600002000%000000.2200000000
14Evgeny SvechnikovCheckers (Flo)LW/RW9112-3558718785.56%314916.58000313000001040.00%1000000.2700010000
15Lucas WallmarkCheckers (Flo)C9011-1001610140%0566.3200000000000057.97%6900000.3500000000
16Mikael PyyhtiaCheckers (Flo)C/LW/RW9011-100537690%1717.90000000001200040.00%500000.2800000000
17Philip TomasinoCheckers (Flo)LW/RW9011-14012817590%315417.12000217000000060.00%1000000.1301000000
18Aleksi HeimosalmiCheckers (Flo)D91011759785412.50%1816117.9900001000018000%000000.1200010001
19Gustav OlofssonCheckers (Flo)D2000-120111000%63417.240000000006000%00000000000000
Team Total or Average1622850781077251361552807619610.00%95267516.5258133617711251746053.02%79600000.5803041666
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
1Marcus HogbergCheckers (Flo)85210.9192.4648820202480000.667381011
2Semyon VyazovoiCheckers (Flo)11000.9331.0060001150000018000
Team Total or Average96210.9202.305482021263000399011


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 ByLast Trade DateForce Waivers Waiver Possible Contract Contract Signature DateForce UFA Emergency Recall Type Current Salary Salary 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 HeimosalmiCheckers (Flo)D232003-05-08CANYes181 Lbs6 ft0NoNoProspectNoNo32026-06-11FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Link
Artem GrushnikovCheckers (Flo)D232003-03-20RUSYes201 Lbs6 ft2NoNoProspectNoNo32026-06-11FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Link
Artem ShlaineCheckers (Flo)C/LW/RW242002-03-07RUSYes187 Lbs6 ft1NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Link
Calle RosenCheckers (Flo)D321994-02-02SWENo188 Lbs6 ft1NoNoFree AgentNoNo12024-07-07FalseFalsePro & Farm1,600,000$0$0$No---------------------------Link
Cross HanasCheckers (Flo)C/LW/RW242002-01-05USAYes171 Lbs6 ft1NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Link
Daniil GutikCheckers (Flo)LW/RW252001-08-31RUSNo179 Lbs6 ft3NoNoProspectNoNo22025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Link
David TomasekCheckers (Flo)C/LW/RW301996-02-10CZEYes210 Lbs6 ft2NoNoFree AgentNoNo32026-07-08FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link
Derrick PouliotCheckers (Flo)D321994-01-16CANNo205 Lbs6 ft1NoNoFree Agent2025-02-01NoNo12025-07-08FalseFalsePro & Farm1,750,000$0$0$No---------------------------Link
Dominic JamesCheckers (Flo)C/LW/RW242002-07-03USAYes190 Lbs6 ft0NoNoFree AgentNoNo12026-05-01FalseFalsePro & Farm900,000$0$0$No---------900,000$900,000$----------------Link
Ethan CardwellCheckers (Flo)LW/RW242002-08-30CANNo180 Lbs5 ft11NoNoProspectNoNo22025-05-07FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Link
Evgeny SvechnikovCheckers (Flo)LW/RW291996-10-31RUSNo207 Lbs6 ft2NoNoFree AgentNoNo12024-07-02FalseFalsePro & Farm1,750,000$0$0$No---------------------------Link
Gustav Olofsson (Out of Payroll)Checkers (Flo)D311994-12-01SWENo201 Lbs6 ft3NoNoFree AgentNoNo32026-07-06FalseFalsePro & Farm1,250,000$0$0$Yes1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------Link
Jack StudnickaCheckers (Flo)C271999-02-18CANNo187 Lbs6 ft1NoNoN/ANoNo22026-04-29FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Link
Jacob MoverareCheckers (Flo)D281998-08-31SWENo210 Lbs6 ft3NoNoN/ANoNo22026-04-29FalseFalsePro & Farm1,350,000$0$0$No1,350,000$--------1,350,000$--------No--------Link
Jonas RondbjergCheckers (Flo)LW/RW271999-03-31DNKNo203 Lbs6 ft2NoNoTrade2024-11-08NoNo22026-04-29FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Link
Jonatan BerggrenCheckers (Flo)LW/RW262000-07-16SWENo197 Lbs5 ft11NoNoDraftNoNo22025-05-07FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Link
Josiah SlavinCheckers (Flo)LW/RW271998-12-31USANo205 Lbs6 ft3NoNoFree Agent2024-05-29NoNo22026-07-03FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Link
Kenneth JohnsonCheckers (Flo)D281998-05-28USANo226 Lbs6 ft4NoNoFree AgentNoNo12025-07-08FalseFalsePro & Farm800,000$0$0$No---------------------------Link
Kyle MacleanCheckers (Flo)LW271999-04-29USANo190 Lbs6 ft1NoNoWaiver2024-06-27NoNo22025-05-28FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Link
Lucas WallmarkCheckers (Flo)C311995-09-05SWENo178 Lbs6 ft0NoNoFree AgentNoNo12024-07-10FalseFalsePro & Farm1,250,000$0$0$No---------------------------Link
Marcus HogbergCheckers (Flo)G311994-11-25SWENo234 Lbs6 ft5NoNoFree AgentNoNo22025-07-03FalseFalsePro & Farm1,750,000$0$0$No1,750,000$--------1,750,000$--------No--------Link
Mikael PyyhtiaCheckers (Flo)C/LW/RW242001-12-17FINNo176 Lbs6 ft0NoNoTrade2024-11-08NoNo22025-05-28FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Link
Philip TomasinoCheckers (Flo)LW/RW252001-07-28CANNo187 Lbs6 ft0NoNoTrade2026-05-09NoNo12024-04-29FalseFalsePro & Farm900,000$0$0$No---------------------------Link
Ronan SeeleyCheckers (Flo)D242002-08-02CANYes201 Lbs6 ft0NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Link
Ryan GreeneCheckers (Flo)C/LW/RW222003-10-21CANYes195 Lbs6 ft1NoNoProspectNoNo32026-05-07FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Link
Ryan JohnsonCheckers (Flo)D252001-07-24USANo195 Lbs6 ft1NoNoProspectNoNo12024-04-29FalseFalsePro & Farm900,000$0$0$No---------------------------Link
Sam MalinskiCheckers (Flo)D281998-07-27USANo190 Lbs5 ft11NoNoTrade2025-04-16NoNo22025-05-28FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Link
Semyon VyazovoiCheckers (Flo)G232003-02-26RUSYes181 Lbs6 ft3NoNoProspectNoNo32026-06-11FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Link
Tristen RobinsCheckers (Flo)LW/RW242001-11-15GBRNo176 Lbs5 ft10NoNoProspectNoNo22025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Link
Zachary FucaleCheckers (Flo)G311995-05-28CANNo187 Lbs6 ft2NoNoFree AgentNoNo12024-07-12FalseFalsePro & Farm850,000$0$0$No---------------------------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3026.63194 Lbs6 ft12.001,081,667$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jonatan BerggrenDominic JamesEthan Cardwell30023
2David TomasekJack StudnickaTristen Robins30023
3Evgeny SvechnikovRyan GreenePhilip Tomasino30023
4Mikael PyyhtiaLucas WallmarkJonas Rondbjerg10023
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryan JohnsonJacob Moverare35032
2Calle RosenSam Malinski35032
3Ronan SeeleyAleksi Heimosalmi30032
4Ryan JohnsonJacob Moverare0032
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jonatan BerggrenDominic JamesEthan Cardwell50005
2David TomasekRyan GreeneTristen Robins50005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryan JohnsonJacob Moverare50014
2Calle RosenSam Malinski50014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Ryan GreeneMikael Pyyhtia50041
2Jack StudnickaJonas Rondbjerg50041
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryan JohnsonJacob Moverare50041
2Calle RosenAleksi Heimosalmi50041
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Ryan Greene50050Ryan JohnsonJacob Moverare50050
2Jack Studnicka50050Calle RosenAleksi Heimosalmi50050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Dominic JamesJonatan Berggren50023
2Jack StudnickaRyan Greene50023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryan JohnsonJacob Moverare50032
2Calle RosenSam Malinski50032
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jonatan BerggrenDominic JamesEthan CardwellRyan JohnsonSam Malinski
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Mikael PyyhtiaRyan GreeneJonas RondbjergJacob MoverareRyan Johnson
Extra Forwards
Normal PowerPlayPenalty Kill
Philip Tomasino, Evgeny Svechnikov, Lucas WallmarkPhilip Tomasino, Evgeny SvechnikovEthan Cardwell
Extra Defensemen
Normal PowerPlayPenalty Kill
Ronan Seeley, Aleksi Heimosalmi, Ryan JohnsonAleksi HeimosalmiRonan Seeley, Sam Malinski
Penalty Shots
Dominic James, Jonatan Berggren, Ethan Cardwell, Tristen Robins, Jack Studnicka
Goalie
#1 : Marcus Hogberg, #2 : Semyon Vyazovoi, #3 : 0


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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
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
1Bears1010000046-2000000000001010000046-200.0004812001295241111758983352162150.00%10100.00%018032355.73%16429755.22%7816148.45%2131482156812059
2Canucks11000000523110000005230000000000021.0005914001295236111758982569253133.33%20100.00%018032355.73%16429755.22%7816148.45%2131482156812059
3Gulls11000000211110000002110000000000021.00023500129523111175898305619300.00%30100.00%018032355.73%16429755.22%7816148.45%2131482156812059
4Marlies1000000134-11000000134-10000000000010.500369001295226111758983812211300.00%10100.00%018032355.73%16429755.22%7816148.45%2131482156812059
5PenguinsF11000000312000000000001100000031221.00036900129523011175898197615100.00%30100.00%018032355.73%16429755.22%7816148.45%2131482156812059
6Reign20002000642000000000002000200064241.0006101600129525011175898653916213133.33%7185.71%018032355.73%16429755.22%7816148.45%2131482156812059
7Rocket11000000413110000004130000000000021.00046100012952351117589815416105120.00%20100.00%118032355.73%16429755.22%7816148.45%2131482156812059
8Wolf Pack1010000013-2000000000001010000013-200.00012300129523111175898381722193133.33%50100.00%018032355.73%16429755.22%7816148.45%2131482156812059
Total94202001282264300000114865120200014140130.722285078001295228011175898263957913623521.74%24195.83%118032355.73%16429755.22%7816148.45%2131482156812059
_Since Last GM Reset94202001282264300000114865120200014140130.722285078001295228011175898263957913623521.74%24195.83%118032355.73%16429755.22%7816148.45%2131482156812059
_Vs Conference52200001151502100000175231200000810-250.50015284300129521631117589814345487114321.43%120100.00%118032355.73%16429755.22%7816148.45%2131482156812059

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
913W1285078280263957913600
All Games
GPWLOTWOTL SOWSOLGFGA
94220012822
Home Games
GPWLOTWOTL SOWSOLGFGA
4300001148
Visitor Games
GPWLOTWOTL SOWSOLGFGA
51220001414
Last 10 Games
WLOTWOTL SOWSOL
422001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
23521.74%24195.83%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
1117589812952
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
18032355.73%16429755.22%7816148.45%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2131482156812059


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 - 2025-08-2511Gulls1Checkers2WBox score
4 - 2025-08-2830Checkers1Wolf Pack3LBox score
6 - 2025-08-3054Canucks2Checkers5WBox score
7 - 2025-08-3155Checkers3Reign2WXBox score
9 - 2025-09-0274Checkers3Reign2WXBox score
11 - 2025-09-0493Rocket1Checkers4WBox score
14 - 2025-09-07113Marlies4Checkers3LXXBox score
16 - 2025-09-09126Checkers4Bears6LBox score
18 - 2025-09-11146Checkers3PenguinsF1WBox score
20 - 2025-09-13155Eagles-Checkers-
23 - 2025-09-16178Checkers-Crunch-
25 - 2025-09-18188Checkers-Americans-
26 - 2025-09-19200Comets-Checkers-
29 - 2025-09-22220Americans-Checkers-
31 - 2025-09-24242PenguinsF-Checkers-
33 - 2025-09-26257Checkers-Phantoms-
37 - 2025-09-30278Bears-Checkers-
40 - 2025-10-03302Checkers-Gulls-
42 - 2025-10-05313Wolves-Checkers-
44 - 2025-10-07326Checkers-Griffins-
46 - 2025-10-09343Canucks-Checkers-
48 - 2025-10-11357Checkers-Bears-
50 - 2025-10-13372Checkers-Roadrunners-
51 - 2025-10-14381Rocket-Checkers-
55 - 2025-10-18405PenguinsF-Checkers-
57 - 2025-10-20425Checkers-Moose-
59 - 2025-10-22437Checkers-Crunch-
60 - 2025-10-23445Wolves-Checkers-
64 - 2025-10-27472Gulls-Checkers-
66 - 2025-10-29492Checkers-Moose-
68 - 2025-10-31504Bears-Checkers-
70 - 2025-11-02521Checkers-Barracuda-
72 - 2025-11-04535Phantoms-Checkers-
74 - 2025-11-06549Checkers-Phantoms-
76 - 2025-11-08566Phantoms-Checkers-
78 - 2025-11-10584Checkers-Comets-
80 - 2025-11-12599Marlies-Checkers-
82 - 2025-11-14616Checkers-Americans-
84 - 2025-11-16631Checkers-Icehogs-
85 - 2025-11-17637Islanders-Checkers-
89 - 2025-11-21665Moose-Checkers-
92 - 2025-11-24684Checkers-StarsF-
94 - 2025-11-26698Comets-Checkers-
96 - 2025-11-28714Checkers-Islanders-
98 - 2025-11-30728Wolf Pack-Checkers-
102 - 2025-12-04751Checkers-Islanders-
103 - 2025-12-05763Americans-Checkers-
107 - 2025-12-09788SenatorsF-Checkers-
110 - 2025-12-12813Checkers-Wolf Pack-
111 - 2025-12-13823Icehogs-Checkers-
114 - 2025-12-16841Checkers-Wolves-
115 - 2025-12-17853Admirals-Checkers-
119 - 2025-12-21877Checkers-Condors-
120 - 2025-12-22885Thunderbirds-Checkers-
123 - 2025-12-25914Islanders-Checkers-
124 - 2025-12-26922Checkers-PenguinsF-
128 - 2025-12-30946Firebirds-Checkers-
130 - 2026-01-01961Checkers-Comets-
132 - 2026-01-03979Eagles-Checkers-
135 - 2026-01-061000Checkers-Wolves-
137 - 2026-01-081012SenatorsF-Checkers-
139 - 2026-01-101030Checkers-BruinsF-
141 - 2026-01-121044BruinsF-Checkers-
144 - 2026-01-151064Checkers-Rocket-
146 - 2026-01-171077Wolf Pack-Checkers-
Trade Deadline --- Trades can’t be done after this day is simulated!
148 - 2026-01-191093Checkers-SenatorsF-
150 - 2026-01-211108Silver Knights-Checkers-
151 - 2026-01-221117Checkers-SenatorsF-
155 - 2026-01-261140Iowa Wild-Checkers-
157 - 2026-01-281160Checkers-BruinsF-
159 - 2026-01-301173Crunch-Checkers-
162 - 2026-02-021192Checkers-Rocket-
163 - 2026-02-031202Crunch-Checkers-
167 - 2026-02-071224Checkers-Marlies-
168 - 2026-02-081235Firebirds-Checkers-
171 - 2026-02-111249Checkers-Marlies-
173 - 2026-02-131267Checkers-Wranglers-
174 - 2026-02-141270Moose-Checkers-
177 - 2026-02-171298Checkers-Wranglers-
178 - 2026-02-181303Checkers-Reign-
179 - 2026-02-191307Checkers-Firebirds-
181 - 2026-02-211319BruinsF-Checkers-
182 - 2026-02-221332Checkers-Firebirds-
183 - 2026-02-231344Monsters-Checkers-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price4934
Attendance7,1533,515
Attendance PCT89.41%87.88%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
38 2667 - 88.90% 185,854$743,416$3000125

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
317,037$ 3,120,000$ 3,120,000$ 100,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 307,263$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
7,062,452$ 166 17,500$ 2,905,000$




Checkers 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

Checkers Goalies Stat Leaders (Regular Season)

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

Checkers 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

Checkers 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

Checkers Goalies Stat Leaders (Play-Off)

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