Checkers
GP: 11 | W: 7 | L: 4
GF: 55 | GA: 43 | PP%: 22.97% | PK%: 71.43%
GM : Jean-Francois Chouinard | Morale : 45 | Team Overall : 63
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

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
1Michael Latta (R)X100.007138687980678075697674676654484178710242900,000$
2Jonathan Huberdeau (R) (A)X100.007325757474757577748873566649455573710224990,000$
3Aleksander Barkov (R) (C)X100.007550767873737475717873607145426459710204850,000$
4Tobias Rieder (R)X100.0073458072717176777573736569524559717002211,000,000$
5Quinton Howden (R)X100.007136757568687175667466646846454778680232500,000$
6Jerry D'Amigo (R)X100.006534787267776867667067656846463868660243700,000$
7Kerby Rychel (R)X100.008149687374607874636567606645445764660213700,000$
8Jake Virtanen (R)X100.007239696679567768636770515141416678640191500,000$
9Mitchell Heard (R)X100.007232646975566559586968655547473735630233500,000$
10Matt Puempel (R)X100.006438766865636566606167476844445668620224500,000$
11Roberts Lipsbergs (R)X100.006930705871676461726163516444455067600212400,000$
12Michael McCarron (R)X100.007444616277537959616460436142425678590202500,000$
13Aaron Ekblad (R)X100.007446847470767176517466735947418075710191500,000$
14Michal Jordan (R)X100.006624827274776970577370706365593668700252600,000$
15William ColbertX100.007237807066667765547165745878641878700301800,000$
16John Draeger (R)X100.006622757070666756397058805447464565670222500,000$
17Markus Nutivaara (R)X100.005735727360526785328756694744436834660212500,000$
18Niklas Hansson (R)X100.006616777261727057407146825148425376660202400,000$
Scratches
1Kyle Platzer (R)X100.004034676541645172566360567742424919590202400,000$
2Juuso Ikonen (R)X100.005028716558535167575860566042425319580202400,000$
3Anton Zlobin (R)X100.005721636356585661526167405545463919570221400,000$
4Connor Honey (R)X100.006457595267597640554247465642425120520202400,000$
5Lukas Vejdemo (R)X100.004229756152605248595254494842425820520192500,000$
6Dmytro Timashov (R)X100.004724654647455559556440425242425820490192500,000$
7Viktor Baldayev (R)X100.006848676273626864395746684643425419630202400,000$
8Keaton Thompson (R)X100.005636666956556860436854685243425720610202400,000$
9Nelson Nogier (R)X100.006337705863645953336154674141416020600191500,000$
10Jake Walman (R)X100.005832786667665852335738703641416620600191500,000$
TEAM AVERAGE100.00653572676664676555676161584745535063
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
1Garret Sparks100.0072718759647279556380714644487868X0
2Igor Bobkov100.00736366716970756767628048463478680
Scratches
1Marek Langhamer100.00614658626953555856497043435120570
TEAM AVERAGE100.0069607064676570606264744644445964
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Glen Gulutzan54607666334563CAN421350,000$


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
1Jonathan HuberdeauCheckers (Flo)LW11914236100211544151820.45%423020.91471114540000111035.71%14104012.0000000210
2Aleksander BarkovCheckers (Flo)C11517226120221235112014.29%421819.851910754000001146.42%32191002.0100000201
3Michael LattaCheckers (Flo)C11610165140212437133016.22%221219.341346450000411045.60%18293001.5000000100
4Tobias RiederCheckers (Flo)RW11105155401783332330.30%723121.0271813540000172056.25%1672001.3000000021
5Kerby RychelCheckers (Flo)LW1155105601561531033.33%216615.11112245000000040.00%531001.2000000021
6Markus NutivaaraCheckers (Flo)D1136961601024266811.54%1426023.6700046000005000.00%069000.6900000012
7Jerry D'AmigoCheckers (Flo)RW11549520151332111715.63%321219.352028460002440060.00%1032000.8500000100
8Quinton HowdenCheckers (Flo)C11156-140199141097.14%513111.97000010000281047.83%6931000.9100000000
9Michal JordanCheckers (Flo)D110665005129390.00%1020218.4101114400001000.00%046000.5900000000
10William ColbertCheckers (Flo)D11156480152114427.14%1022520.53033344000025000.00%023000.5300000000
11Jake VirtanenCheckers (Flo)RW11516080227203325.00%211410.3801106000000042.86%732011.0500000100
12Aaron EkbladCheckers (Flo)D11145520121920975.00%1928826.22022461000131100.00%0511000.3500000010
13Mitchell HeardCheckers (Flo)C1122400099141914.29%4918.3600000000060135.00%2070000.8700000000
14Niklas HanssonCheckers (Flo)D110331808183340.00%1717816.2000012000043000.00%007000.3400000000
15Michael McCarronCheckers (Flo)RW1111212093127100.00%2928.370000500000000.00%102000.4300000000
16Roberts LipsbergsCheckers (Flo)LW1110116013832833.33%0978.891012500002000.00%212000.2000000000
17Matt PuempelCheckers (Flo)LW11011-160857110.00%21029.27000000000000100.00%313000.2000000000
18John DraegerCheckers (Flo)D110111408166120.00%1817315.7400001000145000.00%0310000.1200000000
Team Total or Average198559014554112024922933310118716.52%125322916.311728456553400043047246.15%6507669020.9000000775
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
1Igor BobkovCheckers (Flo)96200.8724.274780034266149100.000092000
2Garret SparksCheckers (Flo)41110.9042.951830099453000.000029000
Team Total or Average137310.8813.906610043360202100.00001111000


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 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
Aaron EkbladCheckers (Flo)D191996-01-01Yes180 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Aleksander BarkovCheckers (Flo)C201995-01-01Yes185 Lbs6 ft4NoNoNo4Pro & Farm850,000$0$0$No1,750,000$3,000,000$4,250,000$
Anton ZlobinCheckers (Flo)RW221993-01-01Yes180 Lbs6 ft0NoNoNo1Pro & Farm400,000$0$0$No
Connor HoneyCheckers (Flo)RW201995-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm400,000$0$0$No500,000$
Dmytro TimashovCheckers (Flo)LW191996-01-01Yes192 Lbs5 ft10NoNoNo2Pro & Farm500,000$0$0$No500,000$
Garret SparksCheckers (Flo)G221993-01-01No207 Lbs6 ft2NoYesNo2Pro & Farm999,999$0$0$No999,999$
Igor BobkovCheckers (Flo)G241991-01-01No235 Lbs6 ft5NoNoNo2Pro & Farm600,000$0$0$No600,000$
Jake VirtanenCheckers (Flo)RW191996-01-01Yes226 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Jake WalmanCheckers (Flo)D191996-01-01Yes180 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Jerry D'AmigoCheckers (Flo)RW241991-01-01Yes208 Lbs5 ft11NoNoNo3Pro & Farm700,000$0$0$No800,000$850,000$
John DraegerCheckers (Flo)D221993-01-01Yes186 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Jonathan HuberdeauCheckers (Flo)LW221993-01-01Yes188 Lbs6 ft1NoNoNo4Pro & Farm990,000$0$0$No3,000,000$3,000,000$3,500,000$
Juuso IkonenCheckers (Flo)LW201995-01-01Yes185 Lbs5 ft9NoNoNo2Pro & Farm400,000$0$0$No500,000$
Keaton ThompsonCheckers (Flo)D201995-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm400,000$0$0$No500,000$
Kerby RychelCheckers (Flo)LW211994-01-01Yes185 Lbs6 ft1NoNoNo3Pro & Farm700,000$0$0$No800,000$900,000$
Kyle PlatzerCheckers (Flo)C201995-01-01Yes185 Lbs5 ft11NoNoNo2Pro & Farm400,000$0$0$No500,000$
Lukas VejdemoCheckers (Flo)C191996-01-01Yes194 Lbs6 ft4NoNoNo2Pro & Farm500,000$0$0$No500,000$
Marek LanghamerCheckers (Flo)G211994-01-01No181 Lbs6 ft1NoNoNo1Pro & Farm300,000$0$0$No
Markus NutivaaraCheckers (Flo)D211994-01-01Yes187 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Matt PuempelCheckers (Flo)LW221993-01-01Yes190 Lbs6 ft0NoNoNo4Pro & Farm500,000$0$0$No550,000$600,000$600,000$
Michael LattaCheckers (Flo)C241991-01-01Yes209 Lbs6 ft0NoNoNo2Pro & Farm900,000$0$0$No1,000,000$
Michael McCarronCheckers (Flo)RW201995-01-01Yes185 Lbs6 ft5NoNoNo2Pro & Farm500,000$0$0$No500,000$
Michal JordanCheckers (Flo)D251990-01-01Yes195 Lbs6 ft1NoNoNo2Pro & Farm600,000$0$0$No600,000$
Mitchell HeardCheckers (Flo)C231992-01-01Yes188 Lbs6 ft0NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$
Nelson NogierCheckers (Flo)D191996-01-01Yes191 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Niklas HanssonCheckers (Flo)D201995-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm400,000$0$0$No500,000$
Quinton HowdenCheckers (Flo)C231992-01-01Yes189 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No600,000$
Roberts LipsbergsCheckers (Flo)LW211994-01-01Yes185 Lbs5 ft11NoNoNo2Pro & Farm400,000$0$0$No500,000$
Tobias RiederCheckers (Flo)RW221993-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$0$0$No
Viktor BaldayevCheckers (Flo)D201995-01-01Yes185 Lbs6 ft3NoNoNo2Pro & Farm400,000$0$0$No500,000$
William ColbertCheckers (Flo)D301985-01-01No210 Lbs6 ft2NoNoNo1Pro & Farm800,000$0$0$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3121.39192 Lbs6 ft12.03569,032$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jonathan HuberdeauAleksander BarkovTobias Rieder40023
2Kerby RychelMichael LattaJerry D'Amigo30023
3Matt PuempelQuinton HowdenJake Virtanen20032
4Roberts LipsbergsMitchell HeardMichael McCarron10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Aaron EkbladMarkus Nutivaara40023
2Michal JordanWilliam Colbert30023
3John DraegerNiklas Hansson20122
4Aaron EkbladMarkus Nutivaara10023
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jonathan HuberdeauAleksander BarkovTobias Rieder60014
2Kerby RychelMichael LattaJerry D'Amigo40014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Aaron EkbladMarkus Nutivaara60023
2Michal JordanWilliam Colbert40023
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Michael LattaJerry D'Amigo60131
2Quinton HowdenTobias Rieder40131
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1John DraegerNiklas Hansson60140
2William ColbertAaron Ekblad40140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Michael Latta60131John DraegerNiklas Hansson60140
2Mitchell Heard40131William ColbertAaron Ekblad40140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Aleksander BarkovJonathan Huberdeau60023
2Michael LattaTobias Rieder40023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Aaron EkbladMarkus Nutivaara60023
2William ColbertMichal Jordan40023
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jonathan HuberdeauAleksander BarkovTobias RiederAaron EkbladMarkus Nutivaara
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Kerby RychelMichael LattaTobias RiederJohn DraegerNiklas Hansson
Extra Forwards
Normal PowerPlayPenalty Kill
Jake Virtanen, Jonathan Huberdeau, Aleksander BarkovJake Virtanen, Jonathan HuberdeauMichael Latta
Extra Defensemen
Normal PowerPlayPenalty Kill
Niklas Hansson, Markus Nutivaara, Aaron EkbladWilliam ColbertAaron Ekblad, Niklas Hansson
Penalty Shots
Aleksander Barkov, Tobias Rieder, Quinton Howden, Michael Latta, Jonathan Huberdeau
Goalie
#1 : Igor Bobkov, #2 : Garret Sparks


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
1Comets4400000024131122000000125722000000128481.0002441650017211611181191061053127423810430930.00%19573.68%011123148.05%10623844.54%8318145.86%234125226104201104
2Heat7340000031301312000001011-1422000002119260.4293149800017211612151191061053233837414544818.18%371170.27%011123148.05%10623844.54%8318145.86%234125226104201104
Total11740000055431253200000221666420000033276140.63655901450017211613331191061053360125112249741722.97%561671.43%011123148.05%10623844.54%8318145.86%234125226104201104
_Since Last GM Reset11740000055431253200000221666420000033276140.63655901450017211613331191061053360125112249741722.97%561671.43%011123148.05%10623844.54%8318145.86%234125226104201104
_Vs Conference11740000055431253200000221666420000033276140.63655901450017211613331191061053360125112249741722.97%561671.43%011123148.05%10623844.54%8318145.86%234125226104201104
_Vs Division7340000031301312000001011-1422000002119260.4293149800017211612151191061053233837414544818.18%371170.27%011123148.05%10623844.54%8318145.86%234125226104201104

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1114L1559014533336012511224900
All Games
GPWLOTWOTL SOWSOLGFGA
117400005543
Home Games
GPWLOTWOTL SOWSOLGFGA
53200002216
Visitor Games
GPWLOTWOTL SOWSOLGFGA
64200003327
Last 10 Games
WLOTWOTL SOWSOL
531100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
741722.97%561671.43%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
11910610531721161
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
11123148.05%10623844.54%8318145.86%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
234125226104201104


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 - 2020-10-098Checkers5Comets4WR1BoxScore
2 - 2020-10-1016Checkers7Comets4WBoxScore
3 - 2020-10-1124Comets2Checkers5WR1BoxScore
4 - 2020-10-1232Comets3Checkers7WBoxScore
8 - 2020-10-1659Checkers5Heat6LXR2BoxScore
9 - 2020-10-1763Checkers7Heat4WBoxScore
10 - 2020-10-1867Heat4Checkers3LR2BoxScore
11 - 2020-10-1971Heat4Checkers1LBoxScore
12 - 2020-10-2075Checkers6Heat5WXR2BoxScore
13 - 2020-10-2179Heat3Checkers6WBoxScore
14 - 2020-10-2283Checkers3Heat4LR2BoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3020
Attendance10,0004,395
Attendance PCT100.00%87.90%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
35 2879 - 95.97% 81,459$407,295$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,764,000$ 1,689,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$




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