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

Charlotte Checkers
GP: 20 | W: 9 | L: 10 | OTL: 1 | P: 19
GF: 73 | GA: 78 | PP%: 14.58% | PK%: 74.36%
GM : Jimmy Houghton | Morale : 50 | Team Overall : 64
Next Games #345 vs Tucson Roadrunners

Game Center
Texas Stars
11-11-0, 22pts
3
2 Charlotte Checkers
9-10-1, 19pts
Team Stats
L2StreakW1
4-7-0Home Record5-5-1
7-4-0Home Record4-5-0
5-5-0Last 10 Games3-6-1
2.64Goals Per Game3.65
2.91Goals Against Per Game3.90
24.00%Power Play Percentage14.58%
90.12%Penalty Kill Percentage74.36%
Manitoba Moose
8-12-2, 18pts
2
6 Charlotte Checkers
9-10-1, 19pts
Team Stats
L2StreakW1
5-5-1Home Record5-5-1
3-7-1Home Record4-5-0
3-6-1Last 10 Games3-6-1
3.82Goals Per Game3.65
4.18Goals Against Per Game3.90
17.24%Power Play Percentage14.58%
78.85%Penalty Kill Percentage74.36%
Charlotte Checkers
9-10-1, 19pts
Day 48
Tucson Roadrunners
10-10-1, 21pts
Team Stats
W1StreakL2
5-5-1Home Record6-4-0
4-5-0Away Record4-6-1
3-6-1Last 10 Games4-5-1
3.65Goals Per Game4.05
3.90Goals Against Per Game4.05
14.58%Power Play Percentage25.30%
74.36%Penalty Kill Percentage80.39%
Syracuse Crunch
11-10-1, 23pts
Day 49
Charlotte Checkers
9-10-1, 19pts
Team Stats
W4StreakW1
7-4-0Home Record5-5-1
4-6-1Away Record4-5-0
7-3-0Last 10 Games3-6-1
4.41Goals Per Game3.65
4.50Goals Against Per Game3.65
16.00%Power Play Percentage14.58%
83.33%Penalty Kill Percentage74.36%
Charlotte Checkers
9-10-1, 19pts
Day 52
Vancouver Millionaires
14-4-4, 32pts
Team Stats
W1StreakW1
5-5-1Home Record8-0-3
4-5-0Away Record6-4-1
3-6-1Last 10 Games5-2-3
3.65Goals Per Game3.14
3.90Goals Against Per Game3.14
14.58%Power Play Percentage17.39%
74.36%Penalty Kill Percentage87.21%
Team Leaders
Goals
Angus Crookshank
10
Assists
Luca Del Bel Belluz
14
Points
Angus Crookshank
22
Plus/Minus
Landon Slaggert
2
Wins
Devin Cooley
3
Save Percentage
Devin Cooley
0.908

Team Stats
Goals For
73
3.65 GFG
Shots For
851
42.55 Avg
Power Play Percentage
14.6%
14 GF
Offensive Zone Start
41.9%
Goals Against
78
3.90 GAA
Shots Against
800
40.00 Avg
Penalty Kill Percentage
74.4%%
20 GA
Defensive Zone Start
39.8%
Team Info

General ManagerJimmy Houghton
DivisionMetro-Atlantic Division
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2Brennan Othmann


Arena Info

Capacity3,000
Attendance0
Season Tickets300


Roster Info

Pro Team25
Farm Team21
Contract Limit46 / 60
Prospects20


Team History

This Season9-10-1 (19PTS)
History85-79-14 (0.478%)
Playoff Appearances1
Playoff Record (W-L)7 - 4 (0.636%)
Stanley Cup0


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
1Nikolai KovalenkoX100.00764289766757726654696671565658050680252900,000$
2Luca Del Bel BelluzX100.00585978697169666973676869605655050670212925,000$
3Nikita NesterenkoX100.00625478757564646457646569625957050660232900,000$
4Ozzy WiesblattX100.00596066656871696558656369575855050650232900,000$
5Samuel PoulinX100.00576369608668666572646467595955050650241900,000$
6Thomas BordeleauX100.00586270666770686558656367585855050650231925,000$
7Hendrix LapierreX100.00645283756959656470695964575857050650231975,000$
8Tyson KozakX100.00625281696960626174626369575757050640222675,000$
9Landon SlaggertX100.00626578726962646256646269575757050640231875,000$
10Joshua RoyXXX100.00605677637265646357626666625655050640212775,000$
11Brennan Othmann (A)X100.00705283707258616057626165575656050630222975,000$
12Jack St. IvanyX100.00616375708066635943625774576158050650251900,000$
13Maveric Lamoureux (R)X100.00606266767967645943625870575555050650213975,000$
14Vsevolod Komarov (R)X100.00575764636971696042615768595452050630213775,000$
15Jack Peart (R)X100.00575669606567665842585666565553050610222925,000$
16Michael Buchinger (R)X100.00575669606867655842585764565452050600213875,000$
Scratches
1Angus CrookshankX100.00606272606871686558636567576258050650251900,000$
2Amadeus LombardiX100.00566371616065646572636463625553050630222825,000$
3Paul LudwinskiX100.00565969596370685957585966565452050610212925,000$
4Danil GushchinX100.00604283656357585653635767565558050600231875,000$
5Daniil ChaykaX100.00575670607270685742585663565553050610221925,000$
6Dmitri KuzminX100.00575671596467655842585765565553050600221875,000$
TEAM AVERAGE100.0060577466706665625663616758575505064
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
1Devin Cooley100.0075808173736970806675727061050730281950,000$
2Matt Murray100.0067676776716972676366687564050690312625,000$
Scratches
1Jesper Vikman100.0060595971645868596966746155050630231775,000$
TEAM AVERAGE100.006769697369657069666971696005068
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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
1Angus CrookshankCharlotte Checkers (CAR)LW19101222-3160534295277910.53%546924.70011112000001250.82%6100010.9400000362
2Luca Del Bel BelluzCharlotte Checkers (CAR)C20514191155348110034795.00%840620.3100000000000063.99%38600000.9400010143
3Landon SlaggertCharlotte Checkers (CAR)LW2049132381061554811308.33%3043221.6000000000002133.33%600000.6000101312
4Daniil ChaykaCharlotte Checkers (CAR)D144610-680421927152914.81%1430321.6710125000041041.92%16700000.6600000121
5Amadeus LombardiCharlotte Checkers (CAR)C62460609191941110.53%112220.4600000000000048.25%11400000.9800000101
Team Total or Average79254570-68315199216289912288.65%58173321.95112318000054355.18%73400010.81001119139
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
1Devin CooleyCharlotte Checkers (CAR)43100.9084.0024000161730000040000
Team Total or Average43100.9084.002400016173000040000


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
Amadeus LombardiCharlotte Checkers (CAR)C222003-06-05CANNo165 Lbs5 ft10NoNoProspectNoNo22024-07-12FalseFalsePro & Farm825,000$618,750$0$0$No825,000$--------825,000$--------No--------Link
Angus CrookshankCharlotte Checkers (CAR)LW251999-10-02CANNo182 Lbs5 ft10NoNoN/ANoNo12024-08-15FalseFalsePro & Farm900,000$675,000$0$0$No---------------------------Link
Brennan OthmannCharlotte Checkers (CAR)LW222003-01-05CANNo191 Lbs6 ft0NoNoProspectNoNo22024-07-12FalseFalsePro & Farm975,000$731,250$0$0$No975,000$--------975,000$--------No--------Link
Daniil ChaykaCharlotte Checkers (CAR)D222002-10-22RUSNo180 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$693,750$0$0$No---------------------------Link
Danil GushchinCharlotte Checkers (CAR)LW232002-02-06RUSNo165 Lbs5 ft8NoNoTrade2025-03-23NoNo12024-06-18FalseFalsePro & Farm875,000$656,250$0$0$No---------------------------Link
Devin CooleyCharlotte Checkers (CAR)G281997-05-25USANo187 Lbs6 ft5NoNoAssign ManuallyNoNo12024-10-10FalseFalsePro & Farm950,000$712,500$0$0$No---------------------------Link
Dmitri KuzminCharlotte Checkers (CAR)D222003-04-23BLRNo187 Lbs5 ft10NoNoTrade2025-03-22NoNo1FalseFalsePro & Farm875,000$656,250$0$0$No---------------------------Link
Hendrix LapierreCharlotte Checkers (CAR)C232002-02-09CANNo180 Lbs6 ft0NoNoTrade2025-06-26NoNo1FalseFalsePro & Farm975,000$731,250$0$0$No---------------------------Link
Jack PeartCharlotte Checkers (CAR)D222003-05-15USAYes185 Lbs5 ft11NoNoProspectNoNo22025-08-05FalseFalsePro & Farm925,000$693,750$0$0$No925,000$--------925,000$--------No--------Link
Jack St. IvanyCharlotte Checkers (CAR)D251999-07-22USANo204 Lbs6 ft3NoNoN/ANoNo12025-08-27FalseFalsePro & Farm900,000$675,000$0$0$No---------------------------Link
Jesper VikmanCharlotte Checkers (CAR)G232002-03-11SWENo205 Lbs6 ft4NoNoProspectNoNo12024-07-12FalseFalsePro & Farm775,000$581,250$0$0$No---------------------------Link
Joshua RoyCharlotte Checkers (CAR)C/LW/RW212003-08-06CANNo191 Lbs6 ft0NoNoTrade2025-06-26NoNo22024-06-19FalseFalsePro & Farm775,000$581,250$0$0$No775,000$--------775,000$--------No--------Link
Landon SlaggertCharlotte Checkers (CAR)LW232002-06-25USANo180 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm875,000$656,250$0$0$No---------------------------Link
Luca Del Bel BelluzCharlotte Checkers (CAR)C212003-11-10CANNo184 Lbs6 ft0NoNoProspectNoNo22024-07-12FalseFalsePro & Farm925,000$693,750$0$0$No925,000$--------925,000$--------No--------Link
Matt MurrayCharlotte Checkers (CAR)G311994-05-25CANNo220 Lbs6 ft5NoNoAssign Manually2024-08-18NoNo22025-10-10FalseFalsePro & Farm625,000$468,750$0$0$No625,000$--------625,000$--------No--------Link
Maveric LamoureuxCharlotte Checkers (CAR)D212004-01-13CANYes195 Lbs6 ft5NoNoProspectNoNo32025-08-05FalseFalsePro & Farm975,000$731,250$0$0$No975,000$975,000$-------975,000$975,000$-------NoNo-------Link
Michael BuchingerCharlotte Checkers (CAR)D212004-04-25CANYes190 Lbs6 ft0NoNoProspectNoNo32025-08-05FalseFalsePro & Farm875,000$656,250$0$0$No875,000$875,000$-------875,000$875,000$-------NoNo-------Link
Nikita NesterenkoCharlotte Checkers (CAR)C232001-09-10USANo193 Lbs6 ft2NoNoN/ANoNo22025-08-27FalseFalsePro & Farm900,000$675,000$0$0$No900,000$--------900,000$--------No--------Link
Nikolai KovalenkoCharlotte Checkers (CAR)RW251999-10-17USANo180 Lbs5 ft10NoNoProspectNoNo22025-08-27FalseFalsePro & Farm900,000$675,000$0$0$No900,000$--------900,000$--------No--------Link
Ozzy WiesblattCharlotte Checkers (CAR)C232002-03-09CANNo182 Lbs5 ft10NoNoN/ANoNo22025-08-27FalseFalsePro & Farm900,000$675,000$0$0$No900,000$--------900,000$--------No--------Link
Paul LudwinskiCharlotte Checkers (CAR)C212004-04-23CANNo172 Lbs5 ft11NoNoTrade2024-07-11NoNo22024-06-19FalseFalsePro & Farm925,000$693,750$0$0$No925,000$-----------------No--------Link
Samuel PoulinCharlotte Checkers (CAR)LW242001-02-25CANNo227 Lbs6 ft2NoNoN/ANoNo12025-08-27FalseFalsePro & Farm900,000$675,000$0$0$No---------------------------Link
Thomas BordeleauCharlotte Checkers (CAR)C232002-01-03USANo180 Lbs5 ft10NoNoTrade2024-07-20NoNo1FalseFalsePro & Farm925,000$693,750$0$0$No---------------------------Link
Tyson KozakCharlotte Checkers (CAR)C222002-12-29CANNo184 Lbs5 ft10NoNoTrade2025-03-22NoNo22024-07-01FalseFalsePro & Farm675,000$506,250$0$0$No675,000$--------675,000$--------No--------Link
Vsevolod KomarovCharlotte Checkers (CAR)D212004-01-11RUSYes183 Lbs6 ft2NoNoProspectNoNo32025-08-05FalseFalsePro & Farm775,000$581,250$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2523.08188 Lbs6 ft01.68874,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
135122
230122
3Luca Del Bel Belluz25122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
135122
230122
3Landon Slaggert25122
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
, , Luca Del Bel Belluz, Luca Del Bel Belluz
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :


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
1Bridgeport Islanders11000000743110000007430000000000021.00071320002723230452792832836602910272150.00%5180.00%038879548.81%37675549.80%17834751.30%474339490141238117
2Charlestown Chiefs20200000311-81010000016-51010000025-300.00034700272323072279283283676171838500.00%9366.67%038879548.81%37675549.80%17834751.30%474339490141238117
3Cincinnati Cyclones1000010034-11000010034-10000000000010.50036900272323038279283283633412276116.67%6266.67%038879548.81%37675549.80%17834751.30%474339490141238117
4Hartford Wolf Pack1010000035-2000000000001010000035-200.0003690027232304627928328364712435500.00%2150.00%038879548.81%37675549.80%17834751.30%474339490141238117
5Lehigh Valley Phantoms2110000045-1110000003211010000013-220.5004610002723230742792832836642820511516.67%9277.78%038879548.81%37675549.80%17834751.30%474339490141238117
6Manitoba Moose11000000624110000006240000000000021.00061218002723230482792832836391812129333.33%6266.67%038879548.81%37675549.80%17834751.30%474339490141238117
7Ontario Reign21100000642000000000002110000064220.5006915002723230672792832836701721419222.22%8275.00%038879548.81%37675549.80%17834751.30%474339490141238117
8Owen Sound Platers11000000431000000000001100000043121.000481200272323051279283283636910265120.00%4175.00%038879548.81%37675549.80%17834751.30%474339490141238117
9Rhode Island Red Army1010000067-11010000067-10000000000000.000612180027232307327928328363986182150.00%20100.00%038879548.81%37675549.80%17834751.30%474339490141238117
10Stouffville Clippers1010000035-21010000035-20000000000000.000369002723230472792832836421110175120.00%5180.00%038879548.81%37675549.80%17834751.30%474339490141238117
11Syracuse Crunch11000000642000000000001100000064221.0006101600272323046279283283667161023300.00%5180.00%038879548.81%37675549.80%17834751.30%474339490141238117
12Texas Stars1010000023-11010000023-10000000000000.0002460027232303827928328363318827400.00%4250.00%038879548.81%37675549.80%17834751.30%474339490141238117
13Tucson Roadrunners2200000010732200000010730000000000041.000101929002723230772792832836672414739111.11%70100.00%038879548.81%37675549.80%17834751.30%474339490141238117
14Victoria Grizzlies1010000027-5000000000001010000027-500.000235002723230472792832836581610297114.29%000%038879548.81%37675549.80%17834751.30%474339490141238117
15Wilkes Scranton Penguins211000008711010000035-21100000052320.500816240027232308227928328366918194910110.00%6266.67%038879548.81%37675549.80%17834751.30%474339490141238117
Total20910001007378-51155001004445-1945000002933-4190.475731342070027232308512792832836800245184493961414.58%782074.36%038879548.81%37675549.80%17834751.30%474339490141238117
_Since Last GM Reset20910001007378-51155001004445-1945000002933-4190.475731342070027232308512792832836800245184493961414.58%782074.36%038879548.81%37675549.80%17834751.30%474339490141238117
_Vs Conference1257000004451-7624000002329-6633000002122-1100.4174481125002723230536279283283650014810728452611.54%471274.47%038879548.81%37675549.80%17834751.30%474339490141238117
_Vs Division946000002836-8523000001721-4423000001115-480.4442851790027232303572792832836349108832274349.30%371170.27%038879548.81%37675549.80%17834751.30%474339490141238117

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2019W17313420785180024518449300
All Games
GPWLOTWOTL SOWSOLGFGA
2091001007378
Home Games
GPWLOTWOTL SOWSOLGFGA
115501004445
Visitor Games
GPWLOTWOTL SOWSOLGFGA
94500002933
Last 10 Games
WLOTWOTL SOWSOL
360100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
961414.58%782074.36%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
27928328362723230
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
38879548.81%37675549.80%17834751.30%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
474339490141238117


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
319Bridgeport Islanders4Charlotte Checkers7WBox score
423Charlotte Checkers5Ontario Reign2WBox score
745Tucson Roadrunners5Charlotte Checkers7WBox score
961Charlotte Checkers3Hartford Wolf Pack5LBox score
1179Charlestown Chiefs6Charlotte Checkers1LBox score
1391Charlotte Checkers2Charlestown Chiefs5LBox score
15106Wilkes Scranton Penguins5Charlotte Checkers3LBox score
18130Tucson Roadrunners2Charlotte Checkers3WBox score
19142Charlotte Checkers4Owen Sound Platers3WBox score
22158Charlotte Checkers5Wilkes Scranton Penguins2WBox score
24174Rhode Island Red Army7Charlotte Checkers6LBox score
26187Charlotte Checkers6Syracuse Crunch4WBox score
28204Lehigh Valley Phantoms2Charlotte Checkers3WBox score
30216Charlotte Checkers1Lehigh Valley Phantoms3LBox score
32236Cincinnati Cyclones4Charlotte Checkers3LXBox score
34251Charlotte Checkers1Ontario Reign2LBox score
37270Stouffville Clippers5Charlotte Checkers3LBox score
40286Charlotte Checkers2Victoria Grizzlies7LBox score
41301Texas Stars3Charlotte Checkers2LBox score
45323Manitoba Moose2Charlotte Checkers6WBox score
48345Charlotte Checkers-Tucson Roadrunners-
49359Syracuse Crunch-Charlotte Checkers-
52378Charlotte Checkers-Vancouver Millionaires-
54391Saskatchewan Snatchsniffers-Charlotte Checkers-
56408Charlotte Checkers-Lehigh Valley Phantoms-
58423Bridgeport Islanders-Charlotte Checkers-
60437Charlotte Checkers-Rhode Island Red Army-
63458Wilkes Scranton Penguins-Charlotte Checkers-
65472Charlotte Checkers-Stouffville Clippers-
67484Cairo Fighting Ice Camels-Charlotte Checkers-
69499Charlotte Checkers-Cairo Fighting Ice Camels-
72515Charlotte Checkers-Prince George Cougars-
73527Colorado Eagles-Charlotte Checkers-
76549Charlotte Checkers-Hartford Wolf Pack-
78559Kimberley Dynamiters-Charlotte Checkers-
80577Charlotte Checkers-Palm Springs Navigators-
82591Flint Michigan Tropics-Charlotte Checkers-
84608Charlotte Checkers-Ontario Reign-
86617Charlotte Checkers-Kitchener Rangers-
87629Syracuse Crunch-Charlotte Checkers-
90650Charlotte Checkers-Iowa Wild-
91660Cincinnati Cyclones-Charlotte Checkers-
94677Charlotte Checkers-San Diego Gulls-
96691Palm Springs Navigators-Charlotte Checkers-
98706Charlotte Checkers-Colorado Eagles-
100721Hartford Wolf Pack-Charlotte Checkers-
102741Charlotte Checkers-Bobcaygeon Bullets-
104752Charlotte Checkers-Wilkes Scranton Penguins-
105759Bobcaygeon Bullets-Charlotte Checkers-
108785Grand Rapids Griffins-Charlotte Checkers-
110795Charlotte Checkers-Grand Rapids Griffins-
113818Charlestown Chiefs-Charlotte Checkers-
116836Charlotte Checkers-Rhode Island Red Army-
118850Lehigh Valley Phantoms-Charlotte Checkers-
121875Newfoundland Regiment-Charlotte Checkers-
123888Charlotte Checkers-Newfoundland Regiment-
125907Charlotte Checkers-Cincinnati Cyclones-
127916Hamilton Bulldogs-Charlotte Checkers-
130940Victoria Grizzlies-Charlotte Checkers-
132957Charlotte Checkers-Hamilton Bulldogs-
134967Charlotte Checkers-Owen Sound Platers-
135977Kitchener Rangers-Charlotte Checkers-
1391001Charlotte Checkers-Kimberley Dynamiters-
1401011San Diego Gulls-Charlotte Checkers-
1431029Charlotte Checkers-Henderson Silver Knights-
1451041Tucson Roadrunners-Charlotte Checkers-
1491067Hartford Wolf Pack-Charlotte Checkers-
1521088Charlotte Checkers-Bridgeport Islanders-
1541101Ontario Reign-Charlotte Checkers-
1561118Charlotte Checkers-Bridgeport Islanders-
1581130Charlotte Checkers-Syracuse Crunch-
1591139Iowa Wild-Charlotte Checkers-
1631164Charlotte Checkers-Texas Stars-
1641172Vancouver Millionaires-Charlotte Checkers-
1671195Owen Sound Platers-Charlotte Checkers-
Trade Deadline --- Trades can’t be done after this day is simulated!
1691210Charlotte Checkers-Charlestown Chiefs-
1721230Charlotte Checkers-Manitoba Moose-
1731234Prince George Cougars-Charlotte Checkers-
1741241Charlotte Checkers-Saskatchewan Snatchsniffers-
1781267Rhode Island Red Army-Charlotte Checkers-
1801279Charlotte Checkers-Flint Michigan Tropics-
1851303Henderson Silver Knights-Charlotte Checkers-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
30 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
548,979$ 2,185,000$ 2,185,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 548,979$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 141 11,622$ 1,638,702$




Charlotte 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
1Adam Beckman1645280132151082302795449.56%43282217.21721287300064146.91%30.94110
2Angus Crookshank96445195217417619139511.14%23187319.52314175801136450.58%31.0139
3Danil Gushchin80445094158414318634712.68%18140017.501220329000025354.90%21.34210
4Luca Del Bel Belluz9723567912351362763057.54%22169517.47412164300004159.11%00.9314
5Nikita Nesterenko70334477-1298716727611.96%24128818.401222348700005258.52%01.2006

Charlotte Checkers Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Devin Cooley2415810.9053.10145280757930200.8336
2Oscar Dansk33151520.9013.3319624010911030100.63611
3Erik Kallgren27131120.9083.21155300839040000.83312
4Jesper Vikman31110.9153.30182001011702000

Charlotte 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
Regular Season
202382293602654266290-2441141702341134146-1241151900313132144-128226648274810102748310275091885495058298288794920483727018.82%3977680.86%11418290648.80%1539302650.86%655135148.48%2000139319685951011501
2024823533023362722639412017010121481321641151601324124131-7892724857571110778829267389789684968269980177017253897719.79%3247178.09%21563287654.35%1476278053.09%728132554.94%2066143818755951036534
202520910001007378-51155001004445-1945000002933-419731342070027232308512792832836800245184493961414.58%782074.36%038879548.81%37675549.80%17834751.30%474339490141238117
Total Regular Season18473790410810611631-2093393903453326323391344001637285308-231906111101171221236175188196274209420332082132648119331903426685716118.79%79916779.10%33369657751.22%3391656151.68%1561302351.64%454131714334133222861152
Playoff
2022117400000373615410000017152633000002021-114376310001131110330790104108535810089256511325.49%41587.80%017835550.14%19838451.56%8317048.82%2461632738314371
Total Playoff117400000373615410000017152633000002021-114376310001131110330790104108535810089256511325.49%41587.80%017835550.14%19838451.56%8317048.82%2461632738314371

Charlotte 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
1Mathieu Perreault109413629112142.86%317617.67336500021159.29%01.4700
2Sam Lafferty114913-1425313511.43%923621.50246800021048.60%01.1000
3Alex Steeves113811-208162611.54%119717.95145800001080.00%01.1100
4Joel L'Esperance11189421418293.45%419818.07055800021045.45%00.9100
5Fabian Zetterlund11459-508342516.00%619017.28123900001150.64%10.9500

Charlotte Checkers Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Erik Kallgren96300.9122.77542012528302000
2Adam Huska21100.8535.4612100117500000