Login

Checkers
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : PKayne | Morale : 40 | Team Overall : 59
Next Games #14 vs Islanders
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Checkers
0-0-0, 0pts
2022-09-15
Islanders
0-0-0, 0pts
Team Stats
N/AStreakN/A
0-0-0Home Record0-0-0
0-0-0Away Record0-0-0
0-0-0Last 10 Games0-0-0
0.00Goals Per Game0.00
0.00Goals Against Per Game0.00
0.00%Power Play Percentage0.00%
0.00%Penalty Kill Percentage0.00%
Checkers
0-0-0, 0pts
2022-09-17
Americans
0-0-0, 0pts
Team Stats
N/AStreakN/A
0-0-0Home Record0-0-0
0-0-0Away Record0-0-0
0-0-0Last 10 Games0-0-0
0.00Goals Per Game0.00
0.00Goals Against Per Game0.00
0.00%Power Play Percentage0.00%
0.00%Penalty Kill Percentage0.00%
Checkers
0-0-0, 0pts
2022-09-19
Bruins
0-0-0, 0pts
Team Stats
N/AStreakN/A
0-0-0Home Record0-0-0
0-0-0Away Record0-0-0
0-0-0Last 10 Games0-0-0
0.00Goals Per Game0.00
0.00Goals Against Per Game0.00
0.00%Power Play Percentage0.00%
0.00%Penalty Kill Percentage0.00%
Team Leaders

Team Stats
Goals For
0
0.00 GFG
Shots For
0
0.00 Avg
Power Play Percentage
0.0%
0 GF
Offensive Zone Start
0.0%
Goals Against
0
0.00 GAA
Shots Against
0
0.00 Avg
Penalty Kill Percentage
0.0%
0 GA
Defensive Zone Start
0.0%
Team Info

General ManagerPKayne
CoachPascal Vincent
DivisionAtlantic Division
ConferenceEastern Conference
Captain
Assistant #1Danick Martel
Assistant #2


Arena Info

Capacity3,000
Attendance0
Season Tickets0


Roster Info

Pro Team28
Farm Team18
Contract Limit46 / 90
Prospects24


Team History

This Season0-0-0 (0PTS)
History96-46-24 (0.578%)
Playoff Appearances2
Playoff Record (W-L)32-18
Stanley Cup2


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 #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 Average
1Alex Chiasson0X100.007047886287787164556567626467750406303221,000,000$
2Martin Frk0X100.00874876608660516940687359676475040620291950,000$
3Kiefer Sherwood0XX100.00724476638260536967697061655967040620273900,000$
4Jansen Harkins0X100.00584688628074725464616063605363040590251900,000$
5Zac Dalpe36X100.00905475578460545950616556636979040590321925,000$
6Taro Hirose0X100.00573677667460566358696161615263040590261900,000$
7Carson Meyer (R)0X100.00914677607960545840626261615164040580251800,000$
8Frederik Gauthier0XXX100.00906077499560495866655861596676040580272800,000$
9Anthony Richard0X100.00504275577960495840646162615968040570251750,000$
10Nate Schnarr0X100.00504175588260415960646262615463040570231900,000$
11Danick Martel (A)0X100.00504475597660485740626162616270040570272850,000$
12Connor Bunnaman0X100.00734777528560535279605762595565040560241800,000$
13Jani Hakanpaa0X100.009850865791787764206361776156690406703041,100,000$
14Mark Borowiecki0X100.009976795885736166206256765858720406603311,000,000$
15Erik Brannstrom0X100.006041876479796965206957715953630406302321,000,000$
16Ville Heinola0X100.006140766278604673207060676052620406002111,250,000$
17Dennis Cholowski0X100.00554480578461417120685966605665040590242850,000$
18Ty Emberson (R)0X100.00504975538260366520615968605161040560222850,000$
Scratches
1Jayden Halbgewachs0X100.00703575657360506140666259615565040580252950,000$
2Cameron Hughes0X100.00504575607960376240686162615464040570252850,000$
3Bokondji Imama0X100.00948075508860485240605859595366040550261800,000$
4Ivan Lodnia (R)0X100.00504475538260165240605762595362040530232850,000$
5Xavier Bernard (R)0X100.00504575518660246420605768595261040560222750,000$
6Josh Brook0X100.00504375528260106220595768595363040550231910,000$
TEAM AVERAGE100.0068487858826349624164616461576704059
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Cayden Primeau100.0063747186676764686765666667040670
2Michael Houser100.0056676484606059616157598073040630
Scratches
1Hunter Shepard (R)100.0053605784585756585855567570040600
2Alexei Melnichuk100.0049656284525350535350527068040570
TEAM AVERAGE100.005567648559595760605758737004062
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Pascal Vincent75757575757575CAN508500,000$


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 Type Current Salary Salary RemainingSalary AverageSalary Ave 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 10Link
Alex ChiassonCheckers (FLA)RW3210/1/1990No208 Lbs6 ft4NoNoNo2Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$No1,000,000$Link
Alexei MelnichukCheckers (FLA)G247/1/1998No192 Lbs6 ft1NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLink
Anthony RichardCheckers (FLA)LW2512/20/1996No186 Lbs5 ft10NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLink
Bokondji ImamaCheckers (FLA)LW268/3/1996No221 Lbs6 ft1NoNoNo1Pro & Farm800,000$791,534$800,000$791,534$0$0$NoLink
Cameron HughesCheckers (FLA)LW2510/9/1996No181 Lbs5 ft11NoNoNo2Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$Link
Carson MeyerCheckers (FLA)RW258/18/1997Yes184 Lbs5 ft11NoNoNo1Pro & Farm800,000$791,534$800,000$791,534$0$0$NoLink
Cayden PrimeauCheckers (FLA)G238/11/1999No198 Lbs6 ft3NoNoNo1Pro & Farm1,250,000$1,236,772$1,250,000$1,236,772$0$0$NoLink
Connor BunnamanCheckers (FLA)C244/16/1998No207 Lbs6 ft1NoNoNo1Pro & Farm800,000$791,534$800,000$791,534$0$0$NoLink
Danick MartelCheckers (FLA)LW2712/12/1994No176 Lbs5 ft8NoNoNo2Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$Link
Dennis CholowskiCheckers (FLA)D242/15/1998No197 Lbs6 ft2NoNoNo2Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$Link
Erik Brannstrom (1 Way Contract)Checkers (FLA)D239/2/1999No185 Lbs5 ft10NoNoNo2Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$No1,000,000$Link
Frederik GauthierCheckers (FLA)C/LW/RW274/26/1995No239 Lbs6 ft5NoNoNo2Pro & Farm800,000$791,534$800,000$791,534$0$0$No800,000$Link
Hunter ShepardCheckers (FLA)G277/1/1995Yes209 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLink
Ivan LodniaCheckers (FLA)RW238/31/1999Yes195 Lbs6 ft0NoNoNo2Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$Link
Jani Hakanpaa (1 Way Contract)Checkers (FLA)D303/31/1992No220 Lbs6 ft6NoNoNo4Pro & Farm1,100,000$1,088,360$1,100,000$1,088,360$0$0$No1,100,000$1,100,000$1,100,000$Link
Jansen HarkinsCheckers (FLA)C255/23/1997No182 Lbs6 ft1NoNoNo1Pro & Farm900,000$890,476$900,000$890,476$0$0$NoLink
Jayden HalbgewachsCheckers (FLA)LW253/22/1997No160 Lbs5 ft8NoNoNo2Pro & Farm950,000$939,947$950,000$939,947$0$0$No950,000$Link
Josh BrookCheckers (FLA)D236/17/1999No192 Lbs6 ft1NoNoNo1Pro & Farm910,000$900,370$910,000$900,370$0$0$NoLink
Kiefer SherwoodCheckers (FLA)LW/RW273/31/1995No194 Lbs6 ft0NoNoNo3Pro & Farm900,000$890,476$900,000$890,476$0$0$No900,000$900,000$Link
Mark BorowieckiCheckers (FLA)D337/12/1989No204 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$NoLink
Martin FrkCheckers (FLA)RW2910/5/1993No210 Lbs6 ft1NoNoNo1Pro & Farm950,000$939,947$950,000$939,947$0$0$NoLink
Michael HouserCheckers (FLA)G307/1/1992No185 Lbs6 ft1NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLink
Nate SchnarrCheckers (FLA)C232/25/1999No185 Lbs6 ft3NoNoNo1Pro & Farm900,000$890,476$900,000$890,476$0$0$NoLink
Taro HiroseCheckers (FLA)LW266/30/1996No162 Lbs5 ft10NoNoNo1Pro & Farm900,000$890,476$900,000$890,476$0$0$NoLink
Ty EmbersonCheckers (FLA)D225/24/2000Yes194 Lbs6 ft1NoNoNo2Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$Link
Ville HeinolaCheckers (FLA)D213/2/2001No178 Lbs5 ft11NoNoNo1Pro & Farm1,250,000$1,236,772$1,250,000$1,236,772$0$0$NoLink
Xavier BernardCheckers (FLA)D221/6/2000Yes200 Lbs6 ft4NoNoNo2Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$Link
Zac DalpeCheckers (FLA)C3211/1/1989No197 Lbs6 ft2NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2825.82194 Lbs6 ft11.50877,143$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kiefer SherwoodZac DalpeMartin Frk42113
2Taro HiroseJansen HarkinsAlex Chiasson30113
3Danick MartelFrederik GauthierCarson Meyer20122
4Anthony RichardConnor BunnamanNate Schnarr8131
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Erik BrannstromJani Hakanpaa39122
2Ville HeinolaMark Borowiecki37122
3Dennis CholowskiTy Emberson24122
4Mark BorowieckiJani Hakanpaa0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kiefer SherwoodZac DalpeMartin Frk60005
2Taro HiroseJansen HarkinsAlex Chiasson40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ville HeinolaErik Brannstrom60104
2Dennis CholowskiJani Hakanpaa40104
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jansen HarkinsAlex Chiasson60140
2Connor BunnamanNate Schnarr40140
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Mark BorowieckiJani Hakanpaa60140
2Erik BrannstromTy Emberson40140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Jansen Harkins60140Mark BorowieckiJani Hakanpaa60140
2Connor Bunnaman40140Erik BrannstromTy Emberson40140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Jansen HarkinsAlex Chiasson60122
2Zac DalpeKiefer Sherwood40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ville HeinolaMark Borowiecki60122
2Erik BrannstromJani Hakanpaa40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Kiefer SherwoodJansen HarkinsMartin FrkVille HeinolaErik Brannstrom
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jansen HarkinsConnor BunnamanAlex ChiassonMark BorowieckiJani Hakanpaa
Extra Forwards
Normal PowerPlayPenalty Kill
Martin Frk, Kiefer Sherwood, Alex ChiassonTaro Hirose, Martin FrkConnor Bunnaman
Extra Defensemen
Normal PowerPlayPenalty Kill
Erik Brannstrom, Jani Hakanpaa, Mark BorowieckiMark BorowieckiDennis Cholowski, Jani Hakanpaa
Penalty Shots
Martin Frk, Kiefer Sherwood, Alex Chiasson, Zac Dalpe, Danick Martel
Goalie
#1 : Cayden Primeau, #2 : Michael Houser
Custom OT Lines Forwards
Jansen Harkins, Martin Frk, Kiefer Sherwood, Alex Chiasson, Zac Dalpe, Taro Hirose, Taro Hirose, Carson Meyer, Frederik Gauthier, Nate Schnarr, Anthony Richard
Custom OT Lines Defensemen
Erik Brannstrom, Jani Hakanpaa, Ville Heinola, Mark Borowiecki, Dennis Cholowski


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


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
7 - 2022-09-1514Checkers-Islanders-
9 - 2022-09-1725Checkers-Americans-
11 - 2022-09-1941Checkers-Bruins-
13 - 2022-09-2156Phantoms-Checkers-
15 - 2022-09-2371Crunch-Checkers-
17 - 2022-09-2590Islanders-Checkers-
19 - 2022-09-27103Checkers-IceHogs-
21 - 2022-09-29112Checkers-Phantoms-
23 - 2022-10-01129Senators-Checkers-
26 - 2022-10-04156Checkers-Roadrunners-
28 - 2022-10-06173Checkers-Barracuda-
30 - 2022-10-08189Checkers-Reign-
31 - 2022-10-09192Checkers-Gulls-
34 - 2022-10-12207Wolves-Checkers-
37 - 2022-10-15226Condors-Checkers-
40 - 2022-10-18253Bears-Checkers-
42 - 2022-10-20262Stars-Checkers-
44 - 2022-10-22275Heat-Checkers-
45 - 2022-10-23289Checkers-Monsters-
48 - 2022-10-26305Bruins-Checkers-
51 - 2022-10-29334Thunderbirds-Checkers-
53 - 2022-10-31351Checkers-Condors-
54 - 2022-11-01358Checkers-Heat-
56 - 2022-11-03373Checkers-Canucks-
58 - 2022-11-05389Checkers-Firebirds-
61 - 2022-11-08408Checkers-Moose-
63 - 2022-11-10419Griffins-Checkers-
65 - 2022-11-12436Checkers-Crunch-
66 - 2022-11-13444Firebirds-Checkers-
68 - 2022-11-15455Monsters-Checkers-
70 - 2022-11-17474Penguins-Checkers-
72 - 2022-11-19488Checkers-Comets-
74 - 2022-11-21504Checkers-Bruins-
76 - 2022-11-23518Comets-Checkers-
78 - 2022-11-25538Checkers-Islanders-
84 - 2022-12-01564Rocket-Checkers-
85 - 2022-12-02575Checkers-Wolves-
87 - 2022-12-04591Wolf Pack-Checkers-
89 - 2022-12-06598Roadrunners-Checkers-
92 - 2022-12-09623Checkers-Griffins-
94 - 2022-12-11637Checkers-Stars-
96 - 2022-12-13656Checkers-Eagles-
98 - 2022-12-15673Checkers-Silver Knights-
100 - 2022-12-17684Canucks-Checkers-
102 - 2022-12-19694Checkers-Americans-
103 - 2022-12-20706Checkers-Marlies-
105 - 2022-12-22720Checkers-Rocket-
107 - 2022-12-24734Wild-Checkers-
109 - 2022-12-26751Checkers-Wolf Pack-
110 - 2022-12-27756Checkers-Penguins-
113 - 2022-12-30781Reign-Checkers-
114 - 2022-12-31789Bruins-Checkers-
123 - 2023-01-09808Crunch-Checkers-
126 - 2023-01-12823Barracuda-Checkers-
128 - 2023-01-14839Eagles-Checkers-
130 - 2023-01-16852Checkers-Wild-
131 - 2023-01-17859Checkers-Thunderbirds-
133 - 2023-01-19870Checkers-Bears-
135 - 2023-01-21884Checkers-Admirals-
137 - 2023-01-23902Gulls-Checkers-
141 - 2023-01-27930Americans-Checkers-
145 - 2023-01-31960Checkers-Crunch-
147 - 2023-02-02975Admirals-Checkers-
149 - 2023-02-04993Penguins-Checkers-
152 - 2023-02-071016Silver Knights-Checkers-
155 - 2023-02-101036IceHogs-Checkers-
156 - 2023-02-111047Moose-Checkers-
161 - 2023-02-161081Rocket-Checkers-
163 - 2023-02-181100Comets-Checkers-
165 - 2023-02-201116Checkers-Griffins-
166 - 2023-02-211122Checkers-Phantoms-
168 - 2023-02-231140Marlies-Checkers-
170 - 2023-02-251156Wolf Pack-Checkers-
172 - 2023-02-271170Checkers-Senators-
174 - 2023-03-011186Checkers-Marlies-
175 - 2023-03-021190Checkers-Rocket-
177 - 2023-03-041208Checkers-Monsters-
180 - 2023-03-071229Americans-Checkers-
182 - 2023-03-091245Senators-Checkers-
184 - 2023-03-111262Checkers-Bears-
186 - 2023-03-131279Marlies-Checkers-
189 - 2023-03-161299Wolves-Checkers-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
41 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
23,768$ 2,246,000$ 2,246,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
11,884$ 23,768$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 187 11,884$ 2,222,308$




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
11823723065562181774141191005322116863041181301234102911110721836758558499959203101101210999528224238387619241153530.43%33972.73%0945185650.92%805154152.24%575107653.44%175997915917831646810
11823723065562181774141191005322116863041181301234102911110721836758558499959203101101210999528224238387619241153530.43%33972.73%0945185650.92%805154152.24%575107653.44%175997915917831646810
Total Regular Season16474460121010124363548282382001064423217260823626024682041822221443673411701016981981184062022024219819041644846167615238482307030.43%661872.73%01890371250.92%1610308252.24%1150215253.44%351819593182156732921621
Playoff
11251690000072502212750000031283139400000412219327212319523142629399929433935889062805159928725.00%170100.00%029663946.32%25353247.56%13231242.31%535303513228468231
11251690000072502212750000031283139400000412219327212319523142629399929433935889062805159928725.00%170100.00%029663946.32%25353247.56%13231242.31%535303513228468231
Total Playoff5032180000014410044241410000006256626188000008244386414424639046285258619985886787161618125601021198561425.00%340100.00%0592127846.32%506106447.56%26462442.31%10716071027457936462