Checkers

GP: 28 | W: 2 | L: 23 | OTL: 3 | P: 7
GF: 89 | GA: 161 | PP%: 10.91% | PK%: 62.16%
GM : Félix Fortier | Morale : 75 | Team Overall : 62
Next Games #478 vs Roadrunners

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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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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 SP
1Jayson Megna0XX100.00633792657286856474666163667580075650
2Thomas Bordeleau (R)0X100.00593778686687836674646362716465075640
3Jake Lucchini0X100.00613884637081876268606164627072075630
4Jesse Ylonen0X100.00683892637978836265605864596668075630
5Nate Danielson (R)0X100.00683985667781736469625761596264075630
6Ryan Suzuki (R)0XX100.00673889657778836274635862616466075630
7Noah Ostlund (R)0X100.00573890656785696467596063666162075620
8Stefan Matteau0X100.00735167588279645767605659577176075610
9Tyler Madden (R)0X100.00633693626381865868615754566668075610
10Bokondji Imama0X100.00778554598267785753595856556970075610
11Cale Fleury (R)0X100.00733892657881826230645866516769075640
12Ryan Johnson (R)0X100.00643787657681866430665862506466075640
13Wyatt Aamodt77X100.00743976627583845930566058556870075620
14Calen Addison0X100.00584071656773856330665456486567075610
15Chase Priskie0X100.00623884607174845930625758496971075610
16Zach Metsa0X100.00563692616677836030655556496769075610
17Cavan Fitzgerald0X100.00663985597570835630585759476971075610
18Ryan Mast (R)0X100.00854285529464675130535059456264075590
Scratches
1Gabriel Szturc (R)0X100.00623791597169705863575655546264075590
2Samuel Laberge0X100.00724459568267785754535558566870075590
3Jack Rathbone0X100.00573882596684855630585554476668075590
4Jack Matier (R)0X100.00844190539364705230545159456264075590
5Noah Warren (R)0X100.00824280549161705330525058456163075580
TEAM AVERAGE100.0067418361767679594960575954666807561
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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 SP
1Oscar Dansk100.0072837884717072717072717285075650
2Vadim Zherenko100.0073837976727173727173726471075640
Scratches
TEAM AVERAGE100.007383798072717372717372687807565
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Joel Bouchard66736870797474CAN512900,000$


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
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


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Bokondji ImamaLW291996-08-03No221 Lbs6 ft1NoNoNo2UFAPro & Farm850,000$0$0$NoLink / NHL Link
Cale FleuryD261998-11-19Yes204 Lbs6 ft1NoNoNo2RFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Calen Addison (1 Way Contract)D252000-04-11No173 Lbs5 ft11NoNoNo2RFAPro & Farm1,405,000$1,405,000$951,302$NoLink / NHL Link
Cavan FitzgeraldD291996-08-23No190 Lbs6 ft1NoNoNo1UFAPro & Farm850,000$0$0$NoLink / NHL Link
Chase PriskieD291996-03-19No185 Lbs6 ft0NoNoNo1UFAPro & Farm850,000$0$0$NoLink / NHL Link
Gabriel SzturcC222003-09-24Yes194 Lbs5 ft11NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Jack MatierD222003-04-08Yes205 Lbs6 ft6NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Jack RathboneD261999-05-20No177 Lbs5 ft10NoNoNo2RFAPro & Farm900,000$0$0$NoLink / NHL Link
Jake LucchiniC301995-05-09No180 Lbs6 ft0NoNoNo2UFAPro & Farm950,000$0$0$NoLink / NHL Link
Jayson MegnaC/RW351990-02-01No190 Lbs6 ft0NoNoNo1UFAPro & Farm850,000$0$0$NoLink / NHL Link
Jesse YlonenRW261999-10-03No200 Lbs6 ft1NoNoNo2RFAPro & Farm900,000$0$0$NoLink / NHL Link
Nate DanielsonC212004-09-27Yes185 Lbs6 ft2NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Noah OstlundC212004-03-11Yes175 Lbs5 ft11NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Noah WarrenD212004-07-15Yes224 Lbs6 ft4NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Oscar DanskG311994-02-28No204 Lbs6 ft3NoNoNo1UFAPro & Farm950,000$0$0$NoLink / NHL Link
Ryan JohnsonD242001-07-24Yes195 Lbs6 ft1NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Ryan MastD222003-01-14Yes221 Lbs6 ft5NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Ryan SuzukiC/LW242001-05-28Yes196 Lbs6 ft1NoNoNo2RFAPro & Farm800,000$0$0$NoLink / NHL Link
Samuel LabergeLW281997-04-10No206 Lbs6 ft2NoNoNo1UFAPro & Farm900,000$0$0$NoLink / NHL Link
Stefan MatteauLW311994-02-23No208 Lbs6 ft2NoNoNo2UFAPro & Farm950,000$0$0$NoLink / NHL Link
Thomas BordeleauC232002-01-03Yes180 Lbs5 ft10NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Tyler MaddenC251999-11-09Yes152 Lbs5 ft11NoNoNo1RFAPro & Farm900,000$0$0$NoLink / NHL Link
Vadim ZherenkoG242001-03-15No176 Lbs6 ft2NoNoNo1RFAPro & Farm975,000$0$0$NoLink / NHL Link
Wyatt AamodtD271997-11-22No201 Lbs6 ft0NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Zach MetsaD261998-10-19No181 Lbs5 ft9NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2525.88193 Lbs6 ft11.96941,200$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
230122
320122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :
Custom OT Lines Forwards
, , , , , , , , , ,
Custom OT Lines Defensemen
, , , ,


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
287L6891702591211156046317272710
All Games
GPWLOTWOTL SOWSOLGFGA
28223020189161
Home Games
GPWLOTWOTL SOWSOLGFGA
18016010154111
Visitor Games
GPWLOTWOTL SOWSOLGFGA
102701003550
Last 10 Games
WLOTWOTL SOWSOL
090100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
55610.91%742862.16%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
39042339564027220
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
383108235.40%409122633.36%14649329.61%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
481327874208329138


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 - 2025-10-071IceHogs4Checkers1LBoxScore
3 - 2025-10-0912Phantoms10Checkers4LBoxScore
5 - 2025-10-1127Senators8Checkers2LBoxScore
7 - 2025-10-1344Checkers3Phantoms5LBoxScore
9 - 2025-10-1558Checkers6Griffins7LBoxScore
10 - 2025-10-1664Checkers4Devils6LBoxScore
12 - 2025-10-1876Checkers1Americans6LBoxScore
15 - 2025-10-21103Checkers2Bruins4LBoxScore
17 - 2025-10-23114Penguins5Checkers2LBoxScore
19 - 2025-10-25130Silver Knights6Checkers5LBoxScore
22 - 2025-10-28154Gulls5Checkers4LXXBoxScore
26 - 2025-11-01185Stars7Checkers6LXBoxScore
29 - 2025-11-04211Checkers3Gulls4LBoxScore
31 - 2025-11-06226Checkers5Reign4WBoxScore
33 - 2025-11-08243Checkers4Barracuda8LBoxScore
35 - 2025-11-10255Checkers6Silver Knights4WBoxScore
38 - 2025-11-13273Bears6Checkers4LBoxScore
40 - 2025-11-15283Crunch4Checkers2LBoxScore
42 - 2025-11-17303Comets6Checkers2LBoxScore
45 - 2025-11-20322Devils8Checkers6LBoxScore
47 - 2025-11-22338Condors7Checkers5LBoxScore
49 - 2025-11-24357Checkers1Admirals2LXBoxScore
51 - 2025-11-26363Phantoms5Checkers3LBoxScore
53 - 2025-11-28380Wranglers4Checkers0LBoxScore
57 - 2025-12-02415Marlies5Checkers2LBoxScore
59 - 2025-12-04429Admirals6Checkers2LBoxScore
61 - 2025-12-06442Monsters6Checkers2LBoxScore
62 - 2025-12-07454Sound Tigers9Checkers2LBoxScore
65 - 2025-12-10478Checkers-Roadrunners-
66 - 2025-12-11490Checkers-Eagles-
68 - 2025-12-13505Checkers-Stars-
70 - 2025-12-15514Checkers-Crunch-
72 - 2025-12-17529Reign-Checkers-
74 - 2025-12-19544Wolves-Checkers-
75 - 2025-12-20554Thunderbirds-Checkers-
78 - 2025-12-23581Checkers-Wolves-
82 - 2025-12-27591Crunch-Checkers-
84 - 2025-12-29607Bears-Checkers-
85 - 2025-12-30618Rocket-Checkers-
88 - 2026-01-02641Wolf Pack-Checkers-
90 - 2026-01-04659Eagles-Checkers-
92 - 2026-01-06672Checkers-Marlies-
94 - 2026-01-08683Checkers-Rocket-
96 - 2026-01-10704Checkers-Senators-
98 - 2026-01-12716Checkers-Americans-
102 - 2026-01-16750Checkers-Wolves-
103 - 2026-01-17761Checkers-Bears-
105 - 2026-01-19773Barracuda-Checkers-
108 - 2026-01-22799Checkers-Moose-
110 - 2026-01-24817Checkers-Wild-
111 - 2026-01-25823Checkers-IceHogs-
113 - 2026-01-27834Roadrunners-Checkers-
115 - 2026-01-29852Checkers-Thunderbirds-
117 - 2026-01-31862Moose-Checkers-
119 - 2026-02-02876Americans-Checkers-
121 - 2026-02-04893Bruins-Checkers-
122 - 2026-02-05908Checkers-Crunch-
143 - 2026-02-26921Marlies-Checkers-
144 - 2026-02-27930Americans-Checkers-
146 - 2026-03-01951Checkers-Sound Tigers-
148 - 2026-03-03961Checkers-Devils-
150 - 2026-03-05978Checkers-Monsters-
151 - 2026-03-06983Checkers-Griffins-
155 - 2026-03-101016Griffins-Checkers-
157 - 2026-03-121031Monsters-Checkers-
160 - 2026-03-151062Checkers-Firebirds-
162 - 2026-03-171074Checkers-Comets-
164 - 2026-03-191089Checkers-Condors-
165 - 2026-03-201097Checkers-Wranglers-
169 - 2026-03-241123Firebirds-Checkers-
171 - 2026-03-261140Wild-Checkers-
Trade Deadline --- Trades can’t be done after this day is simulated!
173 - 2026-03-281153Checkers-Sound Tigers-
174 - 2026-03-291167Checkers-Wolf Pack-
176 - 2026-03-311181Senators-Checkers-
178 - 2026-04-021193Bruins-Checkers-
180 - 2026-04-041211Checkers-Penguins-
181 - 2026-04-051223Checkers-Penguins-
183 - 2026-04-071233Checkers-Rocket-
185 - 2026-04-091250Checkers-Senators-
187 - 2026-04-111270Checkers-Marlies-
189 - 2026-04-131283Wolf Pack-Checkers-
191 - 2026-04-151303Griffins-Checkers-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3115
Attendance35,19117,909
Attendance PCT97.75%99.49%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
-8 2950 - 98.33% 94,414$1,699,445$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,012,507$ 2,212,500$ 2,212,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 721,851$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
-755,309$ 130 16,211$ 2,107,430$




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
202482313306813283295-1241171703211146141541141603602137154-1787283511794229893859285097691293837285578843218202794315.41%1833779.78%21514296451.08%1527297851.28%728140651.78%1930133019656081073531
2025282230020189161-72180160010154111-571027001003550-1578917025910402722012113904233956156046317272755610.91%742862.16%1383108235.40%409122633.36%14649329.61%481327874208329138
Total Regular Season1103356061014372456-8459173303312200252-5251162303702172204-329437268110533213812010794061136613351333434415125160425473344914.67%2576574.71%31897404646.89%1936420446.05%874189946.02%2412165728408171403669