Checkers 1Charlotte Checkers 1
6-8-1, 13pts · 11th in Conference 1
Roster
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Nikita Grebenkin0LW/RW99.0073566770797570664466616366555015064232,000,000$/4yrs
Juho Lammikko (R)0C99.0067407768737571627058566262756615063302,000,000$/4yrs
Mikael Pyyhtia0LW/RW99.0060417773657167664464616367545015063242,500,000$/3yrs
Mitchell Stephens0C99.0058417665717472655861585762665715062292,500,000$/3yrs
Jack Williams0RW99.0057417470667163645761586064525015061241,500,000$/3yrs
Martin Chromiak0RW99.0060417469646664664563625865515015061232,000,000$/1yrs
Givani Smith0RW99.0067556262756967604155555959645615060281,300,000$/1yrs
Nate Smith0C100.0056446667606866626161555761555015059271,500,000$/3yrs
Marcel Marcel0C/LW/RW100.006845685676595655415151565450501505522975,000$/1yrs
Zayne Parekh (R)0D100.0060408073758466694064676170565015066202,000,000$/4yrs
Charles-Alexis Legault0D100.006351697083765964405959686553501506522915,833$/1yrs
Tobias Bjornfot0D100.0058417371757667644060606665686115065252,000,000$/4yrs
Maxence Guenette0D100.0063427165686664634061556761535015062251,800,000$/3yrs
Calen Addison0D100.0055446768636967674065576064555115061262,000,000$/4yrs
Shai Buium0D100.006441716469625960405853645851501506023925,000$/1yrs
Mason Millman0D100.0061417270616462584053536660525015060241,200,000$/4yrs
Chase Priskie0D100.0052416465566563604057586161605015059302,200,000$/3yrs
Kirill Kirsanov (R)0D100.0063417061676159584052526456515015059232,000,000$/4yrs
Scratches
Jesse Ylonen0RW100.0056416760606261584257535656545115056261,500,000$/3yrs
Luke Henman0C100.0052416660516159554152515254535015054261,500,000$/2yrs
Quinn Olson0C/LW/RW100.0054405856555552514050505252525015052252,000,000$/4yrs
Sean Day (R)0D100.0057407055676664584055525755555015057281,000,000$/4yrs
Devante Stephens0D100.0054425859576361544052526054585015056292,200,000$/2yrs
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Matt Tomkins097.00707173657070746972716965581506532975,000$/1yrs
Cameron Whitehead0100.006358586361595955596053515015055232,000,000$/4yrs
Scratches
Nolan Maier0100.006455555959575654565950525015053251,500,000$/1yrs
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Brian Wiseman7365696861561CAN543500,000$
General Manager
Player Stats
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 Name# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% EG HT P/GP PSG PSS GSAVG
1Nikita GrebenkinCheckers 1Checkers 1 (FLO)LW/RW156612-622102748162512.50%824.16303000260135.29%000.80120.49
2Mikael PyyhtiaCheckers 1Checkers 1 (FLO)LW/RW155611-160163472614.71%1121.40235000191035.71%000.73020.64
3Mitchell StephensCheckers 1Checkers 1 (FLO)C15279060201861111.11%519.70011000101044.30%000.60000.44
4Juho LammikkoCheckers 1Checkers 1 (FLO)C15358-640212061215.00%219.69011000101054.01%000.53000.31
5Jack WilliamsCheckers 1Checkers 1 (FLO)RW15448-700203652711.11%422.28011011270044.19%000.53000.44
6Martin ChromiakCheckers 1Checkers 1 (FLO)RW15527-10026279818.52%718.8510100001025.00%000.47220.51
7Tobias BjornfotCheckers 1Checkers 1 (FLO)D15055420512140.00%2018.2700000033000.00%000.33000.41
8Givani SmithCheckers 1Checkers 1 (FLO)RW15134-312019204115.00%516.8001100020041.18%000.27000.12
9Charles-Alexis LegaultCheckers 1Checkers 1 (FLO)D15123-5451514211054.76%2023.2501100026000.00%000.2000-0.31
10Nate SmithCheckers 1Checkers 1 (FLO)C15033-120917380.00%314.7400000000052.56%000.20000.17
11Maxence GuenetteCheckers 1Checkers 1 (FLO)D15033319588250.00%1018.4001100013000.00%000.20000.06
12Marcel MarcelCheckers 1Checkers 1 (FLO)C/LW/RW15202100691322.22%114.29000101190030.00%000.13000.16
13Zayne ParekhCheckers 1Checkers 1 (FLO)D14022-5751414450.00%1320.400000007000.00%000.14000.00
14Chase PriskieCheckers 1Checkers 1 (FLO)D15000-420104410.00%713.5200000024000.00%000.0000-0.07
15Kirill KirsanovCheckers 1Checkers 1 (FLO)D15000-20020000.00%34.630000009000.00%000.0000-0.04
16Shai BuiumCheckers 1Checkers 1 (FLO)D15000-22080010.00%411.260000002000.00%000.0000-0.06
17Sean DayCheckers 1Checkers 1 (FLO)D100000000000.00%00.530000000000.00%000.00000.00
18Calen AddisonCheckers 1Checkers 1 (FLO)D15000-20041000.00%411.590000000000.00%000.0000-0.04
19Mason MillmanCheckers 1Checkers 1 (FLO)D15000-20001000.00%56.770000000000.00%000.0000-0.04
Team Total or Average270294877-39129352292907815210.00%13216.5969151661122344147.44%6837392000.3436
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
1Matt TomkinsCheckers 1Checkers 1 (FLO)135800.9012.607620133332173000.8336132210
2Cameron WhiteheadCheckers 1Checkers 1 (FLO)31010.8422.431480163819000.0000213000
Team Total or Average166810.8952.579110239370192000.83361515210
Salary
Player Name POS Age Cap Hit 2017-18 2018-19 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25
Calen Addison D262,000,000$2,000,000$ 2,000,000$ 2,000,000$ 2,000,000$ UFA
Cameron Whitehead G232,000,000$2,000,000$ 2,000,000$ 2,000,000$ 2,000,000$ RFA
Charles-Alexis Legault D22915,833$975,000$ RFA
Chase Priskie D302,200,000$2,200,000$ 2,200,000$ 2,200,000$ UFA
Devante Stephens D292,200,000$2,200,000$ 2,200,000$ UFA
Givani Smith RW281,300,000$1,300,000$ UFA
Jack Williams RW241,500,000$1,500,000$ 1,500,000$ 1,500,000$ RFA
Jesse Ylonen RW261,500,000$1,500,000$ 1,500,000$ 1,500,000$ UFA
Juho Lammikko C302,000,000$2,000,000$ 2,000,000$ 2,000,000$ 2,000,000$ UFA
Kirill Kirsanov D232,000,000$2,000,000$ 2,000,000$ 2,000,000$ 2,000,000$ UFA
Luke Henman C261,500,000$1,500,000$ 1,500,000$ UFA
Marcel Marcel C/LW/RW22975,000$975,000$ RFA
Martin Chromiak RW232,000,000$2,000,000$ RFA
Mason Millman D241,200,000$1,200,000$ 1,200,000$ 1,200,000$ 1,200,000$ UFA
Matt Tomkins G32975,000$975,000$ UFA
Maxence Guenette D251,800,000$1,800,000$ 1,800,000$ 1,800,000$ UFA
Mikael Pyyhtia LW/RW242,500,000$2,500,000$ 2,500,000$ 2,500,000$ RFA
Mitchell Stephens C292,500,000$2,500,000$ 2,500,000$ 2,500,000$ UFA
Nate Smith C271,500,000$1,500,000$ 1,500,000$ 1,500,000$ UFA
Nikita Grebenkin LW/RW232,000,000$2,000,000$ 2,000,000$ 2,000,000$ 2,000,000$ RFA
Nolan Maier G251,500,000$1,500,000$ RFA
Quinn Olson C/LW/RW252,000,000$2,000,000$ 2,000,000$ 2,000,000$ 2,000,000$ UFA
Sean Day D281,000,000$1,000,000$ 1,000,000$ 1,000,000$ 1,000,000$ UFA
Shai Buium D23925,000$975,000$ RFA
Tobias Bjornfot D252,000,000$2,000,000$ 2,000,000$ 2,000,000$ 2,000,000$ UFA
Zayne Parekh D202,000,000$2,000,000$ 2,000,000$ 2,000,000$ 2,000,000$ RFA

Lines
Forward Lines


# - Nikita Grebenkin


# - Juho Lammikko


# - Jack Williams


# - Mikael Pyyhtia


# - Mitchell Stephens


# - Martin Chromiak


# - Nikita Grebenkin


# - Nate Smith


# - Givani Smith


# - Nikita Grebenkin


# - Mikael Pyyhtia


# - Jack Williams

Defensive Pairings


# - Zayne Parekh


# - Charles-Alexis Legault


# - Tobias Bjornfot


# - Maxence Guenette


# - Calen Addison


# - Shai Buium

1st Power Play Unit


# - Nikita Grebenkin


# - Mikael Pyyhtia


# - Jack Williams


# - Maxence Guenette


# - Charles-Alexis Legault

2nd Power Play Unit


# - Mikael Pyyhtia


# - Mitchell Stephens


# - Martin Chromiak


# - Charles-Alexis Legault


# - Maxence Guenette

Goalies


# - Matt Tomkins


# - Cameron Whitehead

Team Stats
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
# VS Team 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 GF% SH% SV% PDO PDOBRK
1Checkers 1Wolves20200000410-600.0004711004111434865104121671194225000.00%6183.33%010521449.07%12827846.04%9118150.28%25710130715734917730.8%8.3%85.9%94.2Unlucky
2Checkers 1IceHogs1010000016-500.000123004111432265104121628101215000.00%10100.00%010521449.07%12827846.04%9118150.28%25710130715734917714.3%4.5%78.6%83.1Unlucky
3Checkers 1Stars1100000032121.000358004111431265104121637189123133.33%20100.00%010521449.07%12827846.04%9118150.28%25710130715734917750.0%25.0%94.6%119.6LUCKY
4Checkers 1Reign1000001010121.000101014111437651041216156813100.00%40100.00%010521449.07%12827846.04%9118150.28%257101307157349177100.0%14.3%100.0%114.3LUCKY
5Checkers 1Comets1100000020221.0002240141114322651041216438265240.00%40100.00%010521449.07%12827846.04%9118150.28%2571013071573491770.0%9.1%100.0%109.1LUCKY
6Checkers 1Wolf Pack2020000024-200.00024600411143366510412161866343266.67%3233.33%010521449.07%12827846.04%9118150.28%2571013071573491770.0%5.6%77.8%83.3Unlucky
7Checkers 1 Penguins41300000911-220.250915240041114393651041216144493055800.00%9366.67%110521449.07%12827846.04%9118150.28%25710130715734917752.9%9.7%92.4%102.0LUCKY
8Checkers 1Barracuda2100001062441.00069150041114340651041216321310333133.33%5180.00%010521449.07%12827846.04%9118150.28%25710130715734917783.3%15.0%93.8%108.8LUCKY
9Checkers 1Crunch1000010034-110.5003470041114310651041216218416100.00%2150.00%010521449.07%12827846.04%9118150.28%25710130715734917750.0%30.0%81.0%111.0FUN
_Vs Division1170000034-121.0003470041114310651041216218416100.00%2150.00%010521449.07%12827846.04%9118150.28%25710130715734917750.0%30.0%81.0%111.0FUN
_Vs Conference1027001002029-950.25020325201411143209651041216258859015617423.53%24770.83%110521449.07%12827846.04%9118150.28%25710130715734917742.1%9.6%88.8%98.3FUN
_Since Last GM Reset1548001203139-8130.4333148790241114329065104121637013212922924625.00%36877.78%110521449.07%12827846.04%9118150.28%25710130715734917744.6%10.7%89.5%100.1FUN
Total1548001203139-8130.4333148790241114329065104121637013212922924625.00%36877.78%110521449.07%12827846.04%9118150.28%25710130715734917744.6%10.7%89.5%100.1FUN

Puck Time
Offensive Zone 17
Neutral Zone 23
Defensive Zone 20
Puck Time
Offensive Zone Start 214
Neutral Zone Start 181
Defensive Zone Start 278
Puck Time
With Puck 29
Without Puck 31
Faceoffs
Faceoffs Won 324
Faceoffs Lost 349
Team Average Shots after League Average Shots after
1st Period 4.39.57
2nd Period 11.320.31
3rd Period 19.330.68
Overtime 19.731.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.30.64
2nd Period 1.01.65
3rd Period 1.92.67
Overtime 2.12.83
Even Strenght Goal 24
PP Goal 6
PK Goal 1
Empty Net Goal 0
Home Away
Win 33
Lost 53
Overtime Lost 01
PP Attempt 24
PP Goal 6
PK Attempt 36
PK Goal Against 8
Home
Shots For 19.3
Shots Against 24.7
Goals For 2.1
Goals Against 2.6
Hits 15.3
Shots Blocked 8.8
Pim 8.6
Schedule
DateMatchup Result Detail
Mon, Oct 12Checkers 1NYR@Checkers 1FLONYR3,FLO2RECAP
Wed, Oct 14Checkers 1FLO@Checkers 1CARFLO2,CAR5RECAP
Thu, Oct 15Checkers 1FLO@Checkers 1PITFLO4,PIT2RECAP
Sat, Oct 17Checkers 1NJD@Checkers 1FLONJD0,FLO2RECAP
Mon, Oct 19Checkers 1PIT@Checkers 1FLOPIT3,FLO1RECAP
Wed, Oct 21Checkers 1FLO@Checkers 1TAMFLO3,TAM4 (OT)RECAP
Fri, Oct 23Checkers 1CAR@Checkers 1FLOCAR5,FLO2RECAP
Sun, Oct 25Checkers 1FLO@Checkers 1S JFLO4,S J1RECAP
Tue, Oct 27Checkers 1FLO@Checkers 1CHIFLO1,CHI6RECAP
Thu, Oct 29Checkers 1S J@Checkers 1FLOS J1,FLO2 (SO)RECAP
Sat, Oct 31Checkers 1FLO@Checkers 1PITFLO3,PIT4RECAP
Mon, Nov 2Checkers 1NYR@Checkers 1FLONYR1,FLO0RECAP
Wed, Nov 4Checkers 1FLO@Checkers 1DALFLO3,DAL2RECAP
Fri, Nov 6Checkers 1LOS@Checkers 1FLOLOS0,FLO1 (SO)RECAP
Sun, Nov 8Checkers 1PIT@Checkers 1FLOPIT2,FLO1RECAP
Tue, Nov 10Checkers 1FLO@Checkers 1COL
Thu, Nov 12Checkers 1CHI@Checkers 1FLO
Sat, Nov 14Checkers 1OTT@Checkers 1FLO
Mon, Nov 16Checkers 1FLO@Checkers 1SEA
Wed, Nov 18Checkers 1NYR@Checkers 1FLO
Fri, Nov 20Checkers 1FLO@Checkers 1CAR
Sun, Nov 22Checkers 1FLO@Checkers 1CAL
Tue, Nov 24Checkers 1BOS@Checkers 1FLO
Thu, Nov 26Checkers 1FLO@Checkers 1MTL
Sat, Nov 28Checkers 1FLO@Checkers 1NYR
Sun, Nov 29Checkers 1FLO@Checkers 1PHI
Tue, Dec 1Checkers 1CAR@Checkers 1FLO
Thu, Dec 3Checkers 1BOS@Checkers 1FLO
Sat, Dec 5Checkers 1FLO@Checkers 1DET
Mon, Dec 7Checkers 1PHI@Checkers 1FLO
Tue, Dec 8Checkers 1BOS@Checkers 1FLO
Thu, Dec 10Checkers 1FLO@Checkers 1BOS
Sat, Dec 12Checkers 1FLO@Checkers 1LOS
Mon, Dec 14Checkers 1FLO@Checkers 1S J
Tue, Dec 15Checkers 1STL@Checkers 1FLO
Thu, Dec 17Checkers 1FLO@Checkers 1NJD
Sat, Dec 19Checkers 1NJD@Checkers 1FLO
Mon, Dec 21Checkers 1FLO@Checkers 1PIT
Wed, Dec 23Checkers 1PHI@Checkers 1FLO
Fri, Dec 25Checkers 1ANA@Checkers 1FLO
Sun, Dec 27Checkers 1FLO@Checkers 1ANA
Mon, Dec 28Checkers 1BUF@Checkers 1FLO
Wed, Dec 30Checkers 1EDM@Checkers 1FLO
Fri, Jan 1Checkers 1FLO@Checkers 1NAS
Sun, Jan 3Checkers 1FLO@Checkers 1MIN
Tue, Jan 5Checkers 1FLO@Checkers 1VAN
Wed, Jan 6Checkers 1MIN@Checkers 1FLO
Fri, Jan 8Checkers 1VAN@Checkers 1FLO
Sat, Jan 9Checkers 1FLO@Checkers 1OTT
Mon, Jan 11Checkers 1TOR@Checkers 1FLO
Wed, Jan 13Checkers 1FLO@Checkers 1TOR
Fri, Jan 15Checkers 1FLO@Checkers 1PHO
Sat, Jan 16Checkers 1FLO@Checkers 1EDM
Mon, Jan 18Checkers 1CLB@Checkers 1FLO
Tue, Jan 19Checkers 1FLO@Checkers 1PHI
Thu, Jan 21Checkers 1SEA@Checkers 1FLO
Sat, Jan 23Checkers 1CHI@Checkers 1FLO
Mon, Jan 25Checkers 1WPG@Checkers 1FLO
Tue, Jan 26Checkers 1FLO@Checkers 1CLB
Fri, Jan 29Checkers 1PHI@Checkers 1FLO
Sat, Jan 30Checkers 1FLO@Checkers 1CHI
Mon, Feb 1Checkers 1DET@Checkers 1FLO
Wed, Feb 3Checkers 1FLO@Checkers 1WAS
Fri, Feb 5Checkers 1MTL@Checkers 1FLO
Sat, Feb 6Checkers 1FLO@Checkers 1BOS
Mon, Feb 8Checkers 1FLO@Checkers 1NYI
Tue, Feb 9Checkers 1CAL@Checkers 1FLO
Fri, Feb 12Checkers 1PHO@Checkers 1FLO
Mon, Feb 15Checkers 1FLO@Checkers 1NYI
Tue, Feb 16Checkers 1COL@Checkers 1FLO
Thu, Feb 18Checkers 1FLO@Checkers 1STL
Sat, Feb 20Checkers 1DAL@Checkers 1FLO
Sun, Feb 21Checkers 1FLO@Checkers 1WPG
Wed, Feb 24Checkers 1WAS@Checkers 1FLO
Sat, Feb 27Checkers 1FLO@Checkers 1WAS
Sun, Feb 28Checkers 1TAM@Checkers 1FLO
Wed, Mar 3Checkers 1FLO@Checkers 1STL
Thu, Mar 4Checkers 1NYI@Checkers 1FLO
Mon, Mar 8Checkers 1NYI@Checkers 1FLO
Tue, Mar 9Checkers 1FLO@Checkers 1NYR
Fri, Mar 12Checkers 1NAS@Checkers 1FLO
Sun, Mar 14Checkers 1FLO@Checkers 1BUF
Mon, Mar 15Checkers 1FLO@Checkers 1WPG
Trade Deadline --- Trades can’t be done after this day is simulated!
Fri, Mar 19Checkers 1WAS@Checkers 1FLO

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
4,410,000$ 0$ 0$ 75,000,000$

ArenaAbout us
Name
CityCharlotte
Capacity3000
Season Ticket Holders10%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity20001000
Ticket Price30$15$$$$
Attendance00
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
34 0 - 0.00% 0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
4,410,000$ 4,410,000$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
875,256$ 0$ 785,736$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 156 30,309$ 4,031,097$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
4,031,097$ 0$ 0$ 0$

Sponsors
TV RightsPrimary SponsorSecondary SponsorSecondary Sponsor
Depth Chart RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing

Defense #1Defense #2Goalie

Transactions



Injuries
No Injury or Suspension.

Game Center

Reign7-4-4, 18pts01Final
Checkers 16-8-1, 13pts

Penguins11-2-2, 24pts21Final
Checkers 16-8-1, 13pts

Penguins11-2-2, 24ptsMon, Nov 09
Checkers 16-8-1, 13pts

Checkers 16-8-1, 13ptsThu, Oct 15
Wolves11-2-2, 24pts

Checkers 16-8-1, 13ptsFri, Oct 16
Penguins11-2-2, 24pts

TRANSACTIONS



 

Team Info

Checkers 1
Head CoachBrian Wiseman
DivisionAtlantic Division
CityCharlotte
Stadium Capacity3,000

Checkers 1 Affiliation

Checkers 1
General ManagerMaxime Boisclair
Head CoachDean Evason
StadiumOffice Depot Center
Capacity24,250

Team Leaders


GOALS
Nikita Grebenkin
Checkers 1Checkers 1
6
GOALS
POINTS
Nikita Grebenkin
Checkers 1Checkers 1
12
POINTS
WINS
Matt Tomkins
Checkers 1Checkers 1
5
WINS
Expanded Player Leaderboard

Team Stats


Goals For
31
2.07 GFG
Goals Against
39
2.60 GAA
Power Play Percentage
25.0%
6 GF
Penalty Kill Percentage
77.8%
8 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain