Please rotate your device to landscape mode for a better experience.
Login

Checkers
GP: 17 | W: 6 | L: 7 | OTL: 4 | P: 16
GF: 42 | GA: 53 | PP%: 31.43% | PK%: 71.43%
GM : Mikkel Aagaard | Morale : 45 | Team Overall : 56
Next Games #284 vs Roadrunners

Game Center
Checkers
6-7-4, 16pts
2
3 Rocket
11-2-5, 27pts
Team Stats
L1StreakOTL1
5-3-1Home Record6-0-2
1-4-3Home Record5-2-3
4-5-1Last 10 Games7-1-2
2.47Goals Per Game2.11
3.12Goals Against Per Game1.72
31.43%Power Play Percentage27.50%
71.43%Penalty Kill Percentage50.00%
Wild
17-1-0, 34pts
3
2 Checkers
6-7-4, 16pts
Team Stats
W17StreakL1
7-1-0Home Record5-3-1
10-0-0Home Record1-4-3
10-0-0Last 10 Games4-5-1
4.56Goals Per Game2.47
2.33Goals Against Per Game3.12
19.05%Power Play Percentage31.43%
80.00%Penalty Kill Percentage71.43%
Roadrunners
9-7-2, 20pts
Day 24
Checkers
6-7-4, 16pts
Team Stats
W1StreakL1
4-5-0Home Record5-3-1
5-2-2Away Record1-4-3
4-4-2Last 10 Games4-5-1
4.00Goals Per Game2.47
4.00Goals Against Per Game2.47
20.75%Power Play Percentage31.43%
81.43%Penalty Kill Percentage71.43%
Checkers
6-7-4, 16pts
Day 25
Admirals
9-7-2, 20pts
Team Stats
L1StreakL3
5-3-1Home Record5-4-0
1-4-3Away Record4-3-2
4-5-1Last 10 Games2-7-1
2.47Goals Per Game2.94
3.12Goals Against Per Game2.94
31.43%Power Play Percentage35.14%
71.43%Penalty Kill Percentage60.34%
Admirals
9-7-2, 20pts
Day 27
Checkers
6-7-4, 16pts
Team Stats
L3StreakL1
5-4-0Home Record5-3-1
4-3-2Away Record1-4-3
2-7-1Last 10 Games4-5-1
2.94Goals Per Game2.47
3.28Goals Against Per Game2.47
35.14%Power Play Percentage31.43%
60.34%Penalty Kill Percentage71.43%
Team Leaders
Goals
Aleksanteri Kaskimaki
11
Lane PedersonAssists
Lane Pederson
11
Points
Aleksanteri Kaskimaki
21
Plus/Minus
Jake Schmaltz
6
Wins
Damian Clara
6
Save Percentage
Damian Clara
0.821

Team Stats
Goals For
42
2.47 GFG
Shots For
259
15.24 Avg
Power Play Percentage
31.4%
11 GF
Offensive Zone Start
33.8%
Goals Against
53
3.12 GAA
Shots Against
290
17.06 Avg
Penalty Kill Percentage
71.4%%
10 GA
Defensive Zone Start
37.7%
Team Info

General ManagerMikkel Aagaard
CoachBob Murray
DivisionDivision 4
ConferenceConference 2
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,165
Season Tickets1,500


Roster Info

Pro Team24
Farm Team25
Contract Limit49 / 100
Prospects85


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
1Matias MaccelliXX100.0057409577676572694464685925656566496402531,479,000$
2Aleksanteri Kaskimaki (R)X100.0078709567717478617560596454454562596202131,340,000$
3Graeme ClarkeX100.0074708467715554625059626258454561485902421,260,000$
4Josiah SlavinX100.0078748865747581545047576353454559555902721,065,000$
5Lane PedersonX100.0070706963704845647961646260454561535802811,172,000$
6Brett HarrisonX100.0078729265736264546852516248454557425702231,106,000$
7Tyce ThompsonX100.0067715865717682525049505748454554495602621,007,000$
8Jack Beck (R)X100.0075649980643531535057446242444454495402231,273,000$
9Luke HenmanX100.0074679264675152496346466045454553485302531,320,000$
10Daylan Kuefler (R)X100.0074727861733836475046435942454550495002331,130,000$
11Samuel LabergeX100.006876546276454545503945564445454949500281974,000$
12Ty Nelson (R)X100.0072698067708087532549446040454555546002131,309,000$
13Topi NiemelaX100.0074679166687177522548406138454554395902331,342,000$
14Vsevolod Komarov (R)X100.0074786665797684502543405938454552445902231,286,000$
15Ryan Mast (R)X100.0083828563835558462537396337444450445702331,285,000$
16Jack Peart (R)X100.0074718263726469452536395937454549485602231,275,000$
17Christian Krygier (R)X100.0076767761763634472539396037454548525302531,322,000$
18Dominik Badinka (R)X100.0063704880703230412528395237454544495002031,366,000$
Scratches
1Jake Schmaltz (R)XXX100.0076728581734848536539636258454558385702431,354,000$
2Lucas Mercuri (R)X96.8283828581834749435538436342454552395402331,338,000$
3Trevor Janicke (R)X100.0079729560723836465043446242444451335002500$
4Matt Anderson (R)X100.0072707780703432472539395937444450335402600$
TEAM AVERAGE99.86747181687255575245464860444646544756
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 SPAgeContractSalary
1Damian Clara (R)100.004540508946884448898145454560436102131,291,000$
2Jesper Vikman (R)100.00444050724589444889814544446053590232858,000$
Scratches
TEAM AVERAGE100.0045405081468944488981454545604860
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Bob Murray81745567646067CAN6911,000,000$


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
1Aleksanteri KaskimakiCheckers (FLO)C1711102117518315252521.15%439323.143368271012112259.62%5287001.0700100332
2Lane PedersonCheckers (FLO)C17511164135282123132221.74%433819.89000050000100071.70%5355000.9500001111
3Jake SchmaltzCheckers (FLO)C/LW/RW13671361210112823121226.09%623918.441234150000150157.29%19981001.0802002012
4Graeme ClarkeCheckers (FLO)RW173912-10211528343917267.69%534820.481347250111150059.26%2793000.6912012011
5Josiah SlavinCheckers (FLO)LW17448-7171534282561716.00%334220.141232210001270139.82%11364000.4700102100
6Ty NelsonCheckers (FLO)D17167-216102630227114.55%2344826.39112229011129100%01015000.3100002001
7Vsevolod KomarovCheckers (FLO)D17167-32210243217655.88%1042825.20123127000019000%078000.3300020000
8Matias MaccelliCheckers (FLO)LW/RW17336-20016151561620.00%029517.36011180000102043.66%7183000.4100000010
9Topi NiemelaCheckers (FLO)D17145-780142975214.29%1034820.4902218000016000%045000.2900000000
10Tyce ThompsonCheckers (FLO)RW17303-540261192133.33%528416.73202321000090045.90%6141000.2112000010
11Jack PeartCheckers (FLO)D17123-860282793411.11%1039923.53112121000118000%0612000.1500000000
12Brett HarrisonCheckers (FLO)C17202-10101026171101118.18%230718.0700000000000042.86%2156000.1300020000
13Lucas MercuriCheckers (FLO)C16022-40014144110%118411.54022225000000044.74%3803000.2200000000
14Daylan KueflerCheckers (FLO)LW17011-3207130030%11549.110000100001000%220000.1300000000
15Christian KrygierCheckers (FLO)D17011-22558112010%428616.86000113000017000%016000.0700100000
16Luke HenmanCheckers (FLO)C17000-3001481120%01056.2000000000000044.00%250000000000000
17Samuel LabergeCheckers (FLO)LW17000-220230000%0442.63000000000000100.00%10000000000000
18Ryan MastCheckers (FLO)D4000-200010000%0276.760000000000000%00000000000000
19Dominik BadinkaCheckers (FLO)D17000000130000%11026.010000000001000%00100000000000
20Jack BeckCheckers (FLO)LW17000000100000%050.300000000000000%00000000000000
Team Total or Average3224166107-59165853263562598415915.83%89508415.791119303325312362045451.43%6638380000.4226359587
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
1Damian ClaraCheckers (FLO)176740.8213.0510220052290135000.6676170000
2Jesper VikmanCheckers (FLO)10000010000000000017000
Team Total or Average186740.8213.02103300522901350061717000


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 By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall 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 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
Aleksanteri KaskimakiCheckers (FLO)C212004-02-06FINYes193 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,340,000$1,064,821$0$0$No1,340,000$1,340,000$-------1,340,000$1,340,000$-------NoNo-------Link
Brett HarrisonCheckers (FLO)C222003-06-07CANNo190 Lbs6 ft2NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,106,000$878,875$0$0$No1,106,000$1,106,000$-------1,106,000$1,106,000$-------NoNo-------Link
Christian KrygierCheckers (FLO)D252000-05-05USAYes201 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,322,000$1,050,518$0$0$No1,322,000$1,322,000$-------1,322,000$1,322,000$-------NoNo-------Link
Damian ClaraCheckers (FLO)G212005-01-13ITAYes214 Lbs6 ft5NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,291,000$1,025,884$0$0$No1,291,000$1,291,000$-------1,291,000$1,291,000$-------NoNo-------Link
Daylan KueflerCheckers (FLO)LW232002-02-10ABYes190 Lbs6 ft2NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,130,000$897,946$0$0$No1,130,000$1,130,000$-------1,130,000$1,130,000$-------NoNo-------Link
Dominik BadinkaCheckers (FLO)D202005-11-27CZEYes183 Lbs6 ft3NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,366,000$1,085,482$0$0$No1,366,000$1,366,000$-------1,366,000$1,366,000$-------NoNo-------Link
Graeme ClarkeCheckers (FLO)RW242001-04-24USANo190 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,260,000$1,001,250$0$0$No1,260,000$--------1,260,000$--------No--------Link
Jack BeckCheckers (FLO)LW222003-04-12ONYes174 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,273,000$1,011,580$0$0$No1,273,000$1,273,000$-------1,273,000$1,273,000$-------NoNo-------Link
Jack PeartCheckers (FLO)D222003-05-15USAYes195 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,275,000$1,013,170$0$0$No1,275,000$1,275,000$-------1,275,000$1,275,000$-------NoNo-------Link
Jake SchmaltzCheckers (FLO)C/LW/RW242001-04-24USAYes190 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,354,000$1,075,946$0$0$No1,354,000$1,354,000$-------1,354,000$1,354,000$-------NoNo-------Link
Jesper VikmanCheckers (FLO)G232002-03-11SWEYes179 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm858,000$681,804$0$0$No858,000$--------858,000$--------No--------Link
Josiah SlavinCheckers (FLO)LW271998-12-31USANo197 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,065,000$846,295$0$0$No1,065,000$--------1,065,000$--------No--------Link
Lane PedersonCheckers (FLO)C281997-08-04CANNo190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,172,000$931,321$0$0$No---------------------------Link / NHL Link
Lucas MercuriCheckers (FLO)C232002-03-07CANYes220 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,338,000$1,063,232$0$0$No1,338,000$1,338,000$-------1,338,000$1,338,000$-------NoNo-------Link
Luke HenmanCheckers (FLO)C252000-04-29NSNo180 Lbs6 ft0NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,320,000$1,048,929$0$0$No1,320,000$1,320,000$-------1,320,000$1,320,000$-------NoNo-------Link
Matias MaccelliCheckers (FLO)LW/RW252000-10-14FINNo185 Lbs5 ft11NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,479,000$1,175,277$0$0$No1,479,000$1,479,000$-------1,479,000$1,479,000$-------NoNo-------Link
Matt AndersonCheckers (FLO)D261999-04-11USAYes194 Lbs6 ft0NoNoProspectNoNo02025-10-16FalseFalsePro & Farm0$0$No---------------------------Link
Ryan MastCheckers (FLO)D232003-01-14USAYes217 Lbs6 ft5NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,285,000$1,021,116$0$0$No1,285,000$1,285,000$-------1,285,000$1,285,000$-------NoNo-------Link
Samuel LabergeCheckers (FLO)LW281997-04-10QUENo206 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm974,000$773,982$0$0$No---------------------------Link
Topi NiemelaCheckers (FLO)D232002-03-25FINNo181 Lbs6 ft0NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,342,000$1,066,411$0$0$No1,342,000$1,342,000$-------1,342,000$1,342,000$-------NoNo-------Link
Trevor JanickeCheckers (FLO)RW252000-12-25USAYes200 Lbs5 ft11NoNoProspectNoNo02025-10-16FalseFalsePro & Farm0$0$No---------------------------Link
Ty NelsonCheckers (FLO)D212004-03-30CANYes198 Lbs5 ft10NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,309,000$1,040,187$0$0$No1,309,000$1,309,000$-------1,309,000$1,309,000$-------NoNo-------Link
Tyce ThompsonCheckers (FLO)RW261999-07-12CANNo193 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,007,000$800,205$0$0$No1,007,000$--------1,007,000$--------No--------Link
Vsevolod KomarovCheckers (FLO)D222004-01-11RUSYes208 Lbs6 ft4NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,286,000$1,021,911$0$0$No1,286,000$1,286,000$-------1,286,000$1,286,000$-------NoNo-------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2423.71195 Lbs6 ft12.421,131,333$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Aleksanteri KaskimakiMatias MaccelliLane Pederson40122
2Graeme ClarkeJosiah SlavinBrett Harrison30122
3Josiah SlavinTyce ThompsonAleksanteri Kaskimaki20122
4Matias MaccelliAleksanteri KaskimakiGraeme Clarke10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ty NelsonVsevolod Komarov40122
2Topi NiemelaJack Peart30122
3Jack PeartChristian Krygier20122
4Ty NelsonVsevolod Komarov10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Aleksanteri KaskimakiLane PedersonGraeme Clarke60122
2Josiah SlavinMatias MaccelliTyce Thompson40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ty NelsonVsevolod Komarov60122
2Jack PeartChristian Krygier40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Tyce ThompsonJosiah Slavin60122
2Aleksanteri KaskimakiGraeme Clarke40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Ty NelsonChristian Krygier60122
2Vsevolod KomarovJack Peart40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Graeme Clarke60122Ty NelsonJack Peart60122
2Aleksanteri Kaskimaki40122Christian KrygierVsevolod Komarov40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Aleksanteri KaskimakiJosiah Slavin60122
2Graeme ClarkeTyce Thompson40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Vsevolod KomarovTy Nelson60122
2Jack PeartChristian Krygier40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Josiah SlavinGraeme ClarkeAleksanteri KaskimakiTy NelsonVsevolod Komarov
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Josiah SlavinGraeme ClarkeAleksanteri KaskimakiTy NelsonVsevolod Komarov
Extra Forwards
Normal PowerPlayPenalty Kill
Aleksanteri Kaskimaki, Graeme Clarke, Josiah SlavinAleksanteri Kaskimaki, Graeme ClarkeGraeme Clarke
Extra Defensemen
Normal PowerPlayPenalty Kill
Jack Peart, Ty Nelson, Vsevolod KomarovTy NelsonVsevolod Komarov, Ty Nelson
Penalty Shots
Josiah Slavin, Graeme Clarke, Tyce Thompson, Matias Maccelli, Aleksanteri Kaskimaki
Goalie
#1 : Damian Clara, #2 : Jesper Vikman


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
1Admirals21000100541000000000002100010054130.75059140061914423769783927627414375.00%10100.00%012022054.55%12824552.24%9318550.27%28196313197438212
2Americans11000000642110000006420000000000021.0006101600619144287697839261614164125.00%20100.00%012022054.55%12824552.24%9318550.27%28196313197438212
3Eagles31101000880210010008441010000004-440.667812200061914444769783936614547342.86%7442.86%012022054.55%12824552.24%9318550.27%28196313197438212
4Heat20000110880200001108800000000000030.750812200061914423769783938916334125.00%3166.67%112022054.55%12824552.24%9318550.27%28196313197438212
5Islanders1010000013-21010000013-20000000000000.000112006191442776978392291119200.00%3166.67%012022054.55%12824552.24%9318550.27%28196313197438212
6Moose1010000013-2000000000001010000013-200.00011200619144157697839154918300.00%20100.00%012022054.55%12824552.24%9318550.27%28196313197438212
7Penguins30101001812-4100010004312010000149-530.5008132100619144487697839632651777342.86%8450.00%012022054.55%12824552.24%9318550.27%28196313197438212
8Rocket1000010023-1000000000001000010023-110.500235006191447769783974014000%000%012022054.55%12824552.24%9318550.27%28196313197438212
9Stars2020000015-41010000002-21010000013-200.00012300619144167697839222835200.00%40100.00%012022054.55%12824552.24%9318550.27%28196313197438212
10Wild1010000023-11010000023-10000000000000.000235006191442876978393471519200.00%50100.00%012022054.55%12824552.24%9318550.27%28196313197438212
Total1737023114253-119230211029272814002011326-13160.471426610800619144259769783929089165326351131.43%351071.43%112022054.55%12824552.24%9318550.27%28196313197438212
_Since Last GM Reset1737023114253-119230211029272814002011326-13160.471426610800619144259769783929089165326351131.43%351071.43%112022054.55%12824552.24%9318550.27%28196313197438212
_Vs Conference1536022113847-98220211027243714001011123-12150.50038609800619144224769783924978150293331133.33%301066.67%112022054.55%12824552.24%9318550.27%28196313197438212
_Vs Division43502211915-62210211056-12140010149-5151.8759142300619144757697839853562969333.33%11554.55%012022054.55%12824552.24%9318550.27%28196313197438212

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1716L142661082592908916532600
All Games
GPWLOTWOTL SOWSOLGFGA
173723114253
Home Games
GPWLOTWOTL SOWSOLGFGA
92321102927
Visitor Games
GPWLOTWOTL SOWSOLGFGA
81402011326
Last 10 Games
WLOTWOTL SOWSOL
450100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
351131.43%351071.43%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
7697839619144
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
12022054.55%12824552.24%9318550.27%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
28196313197438212


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
18Checkers1Moose3LBox score
217Heat5Checkers4LXBox score
435Checkers3Penguins4LXXBox score
547Americans4Checkers6WBox score
772Eagles2Checkers5WBox score
994Checkers2Admirals3LXBox score
10106Checkers1Stars3LBox score
11120Stars2Checkers0LBox score
12131Penguins3Checkers4WXBox score
13156Eagles2Checkers3WXBox score
15166Checkers3Admirals1WBox score
16191Heat3Checkers4WXXBox score
17196Checkers1Penguins5LBox score
18219Islanders3Checkers1LBox score
19234Checkers0Eagles4LBox score
20246Checkers2Rocket3LXBox score
22257Wild3Checkers2LBox score
24284Roadrunners-Checkers-
25294Checkers-Admirals-
27311Admirals-Checkers-
28326Checkers-Americans-
29345Condors-Checkers-
30356Checkers-Senators-
31372IceHogs-Checkers-
32381Checkers-Eagles-
33396Checkers-Reign-
34416Crunch-Checkers-
35427Checkers-IceHogs-
36444Checkers-Marlies-
37459Phantoms-Checkers-
39476Bears-Checkers-
40494Monsters-Checkers-
41511Checkers-Moose-
42525Thunderbirds-Checkers-
43538Checkers-Bears-
44552Checkers-Bruins-
45570Checkers-Moose-
46580Admirals-Checkers-
47599Bruins-Checkers-
49622Checkers-Stars-
50636Canucks-Checkers-
51656Wolf Pack-Checkers-
53673Checkers-Condors-
54690Rocket-Checkers-
55707Checkers-Barracuda-
56719Checkers-Monsters-
57728Wild-Checkers-
59750Checkers-Silver Knights-
60763Moose-Checkers-
61781Checkers-Wolves-
62790Heat-Checkers-
64809Comets-Checkers-
65828Checkers-Comets-
66839Checkers-Wild-
68852Marlies-Checkers-
69868Checkers-Penguins-
70883Reign-Checkers-
72903Checkers-Griffins-
73912Penguins-Checkers-
74935Americans-Checkers-
76951Checkers-Islanders-
77965Gulls-Checkers-
79979Checkers-Rocket-
80995Checkers-Crunch-
811004Wolves-Checkers-
831028Americans-Checkers-
841040Checkers-Stars-
851057Stars-Checkers-
861067Checkers-Reign-
881087Senators-Checkers-
891100Checkers-Phantoms-
901119Barracuda-Checkers-
921142Checkers-Heat-
931151Moose-Checkers-
951169Checkers-Wolf Pack-
961183Silver Knights-Checkers-
Trade Deadline --- Trades can’t be done after this day is simulated!
981203Checkers-Roadrunners-
991217Phantoms-Checkers-
1021245Eagles-Checkers-
1031254Checkers-Thunderbirds-
1041274Silver Knights-Checkers-
1051279Checkers-Gulls-
1071298Checkers-Canucks-
1081304Griffins-Checkers-
1091314Checkers-Americans-
1101326Checkers-Heat-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance12,5516,935
Attendance PCT69.73%77.06%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
34 2165 - 72.17% 89,948$809,533$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
762,933$ 2,715,200$ 2,715,200$ 1,000,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
24,243$ 543,825$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
3,058,236$ 89 33,171$ 2,952,219$




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