Checkers 1Charlotte Checkers 1
24-45-13, 61pts · 16th 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
Mitchell Stephens0C100.0063408072787775677962626767716215066282,500,000$/4yrs
Givani Smith0RW100.0076676670857472674061606466736315065271,300,000$/2yrs
Jesse Ylonen0RW100.0063437969717370664464596364625215063251,500,000$/4yrs
Mikael Pyyhtia0LW100.0062408274707469654461606467565015063232,500,000$/4yrs
Jack Williams0RW100.0056406969717359624659596264515015061231,500,000$/4yrs
Martin Chromiak0RW100.0060417266636462644461595563505015060222,000,000$/2yrs
Nate Smith0C100.0056436765616766615961555360545015059261,500,000$/4yrs
Nikita Grebenkin (R)0RW100.005942626262616060425957556050501505822875,000$/1yrs
Marcel Marcel0C/LW/RW100.006943655875595657415452595650501505721975,000$/2yrs
Luke Henman0C100.0055427167546664604354535560535015057251,500,000$/3yrs
Quinn Olson (R)0C/LW/RW100.005940626161605854405453565651501505524975,000$/1yrs
Calen Addison0D100.0058456570667472694069586066655215064251,375,000$/1yrs
Chase Priskie0D100.0056427071617069664062626766595015063292,200,000$/4yrs
Maxence Guenette0D100.0065437066676564654061596863525015063241,800,000$/4yrs
Devante Stephens0D100.0059456466626967594055556560575015061282,200,000$/3yrs
Charles-Alexis Legault (R)0D100.006444616265616061405755645950501506021915,833$/2yrs
Tobias Bjornfot0D100.0062417165656361594056536559525015060241,600,000$/1yrs
Mason Millman0D100.006141696861615957405353645951501505923975,000$/1yrs
Scratches
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 Tomkins0100.00716970646969716969706765581506331975,000$/2yrs
Cameron Whitehead0100.00605757595856565456585450501505322975,000$/1yrs
Scratches
Nolan Maier0100.006455555959575654565950525015053241,500,000$/2yrs
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Brian Wiseman7165677261561CAN534500,000$
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
1Givani SmithCheckers 1Checkers 1 (FLO)RW82203757-31109451631714911611.70%4124.32419230221341244.77%010.703120.31
2Mitchell StephensCheckers 1Checkers 1 (FLO)C82282957-3043151301977013014.21%4023.3367131121566168.12%100.704120.54
3Calen AddisonCheckers 1Checkers 1 (FLO)D8284250-4490309812036596.67%10526.695813011154010.00%100.61110.21
4Mikael PyyhtiaCheckers 1Checkers 1 (FLO)LW82192544-231410991505310112.67%2518.75981700062039.50%000.54120.44
5Jack WilliamsCheckers 1Checkers 1 (FLO)RW82201232-23255145103326419.42%2618.098513101211240.82%000.39030.28
6Jesse YlonenCheckers 1Checkers 1 (FLO)RW82111829-251159694354411.70%1717.233101300002254.76%000.35120.23
7Chase PriskieCheckers 1Checkers 1 (FLO)D8241721-405220788929354.49%9223.72246000172100.00%000.26120.03
8Marcel MarcelCheckers 1Checkers 1 (FLO)C/LW/RW8281119-3228016267264711.94%3919.36123000962138.07%010.23090.07
9Nate SmithCheckers 1Checkers 1 (FLO)C828917-1221511168162311.76%1716.15000000251052.42%000.21000.14
10Martin ChromiakCheckers 1Checkers 1 (FLO)RW8241014-460836519436.15%1412.4900000001031.82%000.17000.18
11Devante StephensCheckers 1Checkers 1 (FLO)D8201313-16340783921190.00%5921.3804400072000.00%000.16000.03
12Nikita GrebenkinCheckers 1Checkers 1 (FLO)RW8210313-73358946173121.74%1012.71000000901040.21%000.16000.07
13Maxence GuenetteCheckers 1Checkers 1 (FLO)D8211112-10375725114161.96%5019.68000000119010.00%000.15010.05
14Quinn OlsonCheckers 1Checkers 1 (FLO)C/LW/RW82213-108069183811.11%149.98101000611040.00%000.0400-0.00
15Luke HenmanCheckers 1Checkers 1 (FLO)C8221332019213159.52%43.8700000000046.81%000.04000.06
16Charles-Alexis LegaultCheckers 1Checkers 1 (FLO)D82022-10320532511100.00%2715.5600000030000.00%000.0200-0.05
17Mason MillmanCheckers 1Checkers 1 (FLO)D82022-1040264510.00%119.760000001000.00%000.0200-0.03
18Tobias BjornfotCheckers 1Checkers 1 (FLO)D82011060145230.00%205.5600000045000.00%000.01000.01
Team Total or Average1476145244389-3245551451585133344176510.88%61116.59396710612862461190191044.51%3309339414220.321144
Filter Tips
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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)48151780.9022.1925994395969530120.611184141321
2Nolan MaierCheckers 1Checkers 1 (FLO)4492850.8613.20238223127916515240.783234133123
Team Total or Average922445130.8822.6749816622218851045360.707418274444
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 D251,375,000$1,375,000$ RFA
Cameron Whitehead G22975,000$975,000$ RFA
Charles-Alexis Legault D21915,833$975,000$ 975,000$ RFA
Chase Priskie D292,200,000$2,200,000$ 2,200,000$ 2,200,000$ 2,200,000$ UFA
Devante Stephens D282,200,000$2,200,000$ 2,200,000$ 2,200,000$ UFA
Givani Smith RW271,300,000$1,300,000$ 1,300,000$ UFA
Jack Williams RW231,500,000$1,500,000$ 1,500,000$ 1,500,000$ 1,500,000$ UFA
Jesse Ylonen RW251,500,000$1,500,000$ 1,500,000$ 1,500,000$ 1,500,000$ UFA
Luke Henman C251,500,000$1,500,000$ 1,500,000$ 1,500,000$ UFA
Marcel Marcel C/LW/RW21975,000$975,000$ 975,000$ RFA
Martin Chromiak RW222,000,000$2,000,000$ 2,000,000$ RFA
Mason Millman D23975,000$975,000$ RFA
Matt Tomkins G31975,000$975,000$ 975,000$ UFA
Maxence Guenette D241,800,000$1,800,000$ 1,800,000$ 1,800,000$ 1,800,000$ UFA
Mikael Pyyhtia LW232,500,000$2,500,000$ 2,500,000$ 2,500,000$ 2,500,000$ UFA
Mitchell Stephens C282,500,000$2,500,000$ 2,500,000$ 2,500,000$ 2,500,000$ UFA
Nate Smith C261,500,000$1,500,000$ 1,500,000$ 1,500,000$ 1,500,000$ UFA
Nikita Grebenkin RW22875,000$975,000$ RFA
Nolan Maier G241,500,000$1,500,000$ 1,500,000$ RFA
Quinn Olson C/LW/RW24975,000$975,000$ RFA
Tobias Bjornfot D241,600,000$1,600,000$ RFA

Lines
Forward Lines


# - Mitchell Stephens


# - Givani Smith


# - Mikael Pyyhtia


# - Jesse Ylonen


# - Givani Smith


# - Jack Williams


# - Martin Chromiak


# - Givani Smith


# - Nate Smith


# - Mitchell Stephens


# - Nikita Grebenkin


# - Givani Smith

Defensive Pairings


# - Calen Addison


# - Chase Priskie


# - Maxence Guenette


# - Devante Stephens


# - Calen Addison


# - Charles-Alexis Legault

1st Power Play Unit


# - Mitchell Stephens


# - Givani Smith


# - Mikael Pyyhtia


# - Calen Addison


# - Chase Priskie

2nd Power Play Unit


# - Mitchell Stephens


# - Givani Smith


# - Mikael Pyyhtia


# - Devante Stephens


# - Calen Addison

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 1Gulls2000010113-220.500123002650681220294460558651364363133.33%20100.00%0463108642.63%586131744.50%42485749.47%1419537160088719669890.0%5.0%76.9%81.9Unlucky
2Checkers 1Moose3110000178-130.5007111801265068125729446055865641516755360.00%30100.00%0463108642.63%586131744.50%42485749.47%14195371600887196698933.3%12.3%87.5%99.8FUN
3Checkers 1Bruins422000001317-440.500132235002650681298294460558651554450848562.50%18855.56%0463108642.63%586131744.50%42485749.47%14195371600887196698947.1%13.3%89.0%102.3FUN
4Checkers 1Americans2000010135-220.500358002650681220294460558652364496116.67%2150.00%0463108642.63%586131744.50%42485749.47%14195371600887196698933.3%15.0%78.3%93.3FUN
5Checkers 1Heat2100000122030.750246002650681222294460558652194552150.00%20100.00%0463108642.63%586131744.50%42485749.47%14195371600887196698933.3%9.1%90.5%99.6FUN
6Checkers 1Wolves41200100811-330.37581321102650681292294460558651193434767114.29%170100.00%0463108642.63%586131744.50%42485749.47%14195371600887196698938.9%8.7%90.8%99.5Unlucky
7Checkers 1IceHogs2110000068-220.500691500265068123529446055865682214346233.33%7271.43%0463108642.63%586131744.50%42485749.47%14195371600887196698940.0%17.1%88.2%105.4FUN
8Checkers 1Eagles2000011055030.7505611002650681229294460558654115636300.00%3166.67%0463108642.63%586131744.50%42485749.47%14195371600887196698955.6%17.2%87.8%105.0FUN
9Checkers 1Monsters2020000027-500.0002460026506812322944605586543116403266.67%3233.33%0463108642.63%586131744.50%42485749.47%1419537160088719669890.0%6.3%83.7%90.0Unlucky
10Checkers 1Stars2110000032120.50035801265068122429446055865239729400.00%110.00%0463108642.63%586131744.50%42485749.47%14195371600887196698975.0%12.5%91.3%103.8LUCKY
11Checkers 1Griffins2110000067-120.5006121800265068124629446055865762313535240.00%4175.00%0463108642.63%586131744.50%42485749.47%14195371600887196698940.0%13.0%90.8%103.8FUN
12Checkers 1Condors3210000085340.66781523012650681260294460558656324236113323.08%9277.78%0463108642.63%586131744.50%42485749.47%14195371600887196698962.5%13.3%92.1%105.4LUCKY
13Checkers 1Reign30300000411-700.000461000265068125029446055865691526736116.67%8362.50%0463108642.63%586131744.50%42485749.47%14195371600887196698927.3%8.0%84.1%92.1Unlucky
14Checkers 1Wild2010001034-120.500347002650681232294460558653062332200.00%4175.00%0463108642.63%586131744.50%42485749.47%14195371600887196698950.0%9.4%86.7%96.0FUN
15Checkers 1Rocket2100010043130.75048120026506812402944605586533611342150.00%3233.33%0463108642.63%586131744.50%42485749.47%14195371600887196698975.0%10.0%90.9%100.9FUN
16Checkers 1Admirals2110000023-120.500235002650681222294460558652810645300.00%30100.00%0463108642.63%586131744.50%42485749.47%14195371600887196698940.0%9.1%89.3%98.4FUN
17Checkers 1Comets2010001033020.500325002650681224294460558651161340100.00%4175.00%0463108642.63%586131744.50%42485749.47%14195371600887196698960.0%12.5%72.7%85.2FUN
18Checkers 1Islanders40200011710-330.375791600265068126129446055865642326805120.00%8537.50%0463108642.63%586131744.50%42485749.47%14195371600887196698954.5%11.5%84.4%95.9FUN
19Checkers 1Wolf Pack40400000517-1200.0005813002650681255294460558651083234536116.67%12375.00%0463108642.63%586131744.50%42485749.47%14195371600887196698922.2%9.1%84.3%93.4FUN
20Checkers 1Belleville Senators2020000028-600.00024610265068123829446055865472325403133.33%5340.00%0463108642.63%586131744.50%42485749.47%14195371600887196698916.7%5.3%83.0%88.2Unlucky
21Checkers 1Phantoms4220000067-140.50061117012650681262294460558656020337715213.33%9366.67%0463108642.63%586131744.50%42485749.47%14195371600887196698950.0%9.7%88.3%98.0FUN
22Checkers 1Roadrunners20200000613-700.0006121800265068123229446055865742122266233.33%6266.67%1463108642.63%586131744.50%42485749.47%14195371600887196698926.7%18.8%82.4%101.2FUN
23Checkers 1 Penguins42101000129360.7501220320026506812752944605586515552227010220.00%11372.73%1463108642.63%586131744.50%42485749.47%14195371600887196698962.5%16.0%94.2%110.2LUCKY
24Checkers 1Barracuda2010000125-310.25023510265068122729446055865281719356116.67%7185.71%0463108642.63%586131744.50%42485749.47%14195371600887196698920.0%7.4%82.1%89.6Unlucky
25Checkers 1Thunderbirds2020000049-500.00046102026506812282944605586564158356116.67%4250.00%0463108642.63%586131744.50%42485749.47%14195371600887196698930.0%14.3%85.9%100.2FUN
26Checkers 1Crunch41300000610-420.2506101600265068126729446055865743122779222.22%11372.73%0463108642.63%586131744.50%42485749.47%14195371600887196698936.4%9.0%86.5%95.4FUN
27Checkers 1Marlies20200000612-600.00069151026506812262944605586579241635300.00%3233.33%0463108642.63%586131744.50%42485749.47%14195371600887196698937.5%23.1%84.8%107.9FUN
28Checkers 1Canucks31200000611-520.33361117002650681236294460558651032428543133.33%9277.78%0463108642.63%586131744.50%42485749.47%14195371600887196698935.7%16.7%89.3%106.0FUN
29Checkers 1Hershey Bears4030001048-420.2504590026506812592944605586571371671400.00%8275.00%0463108642.63%586131744.50%42485749.47%14195371600887196698940.0%6.8%88.7%95.5Unlucky
30Checkers 1Silver Knights2000010113-220.5001230026506812362944605586527101044200.00%50100.00%0463108642.63%586131744.50%42485749.47%14195371600887196698925.0%2.8%88.9%91.7Unlucky
31Checkers 1Checkers 22020000039-600.00033600265068122829446055865572120368225.00%40100.00%0463108642.63%586131744.50%42485749.47%14195371600887196698910.0%10.7%84.2%94.9FUN
_Vs Division18716011214062-22220.6114070110202650681233529446055865487157141372361233.33%462056.52%0463108642.63%586131744.50%42485749.47%14195371600887196698940.0%11.9%87.3%99.2FUN
_Vs Conference4710280133287138-51330.351871412283126506812785294460558651145373340880852023.53%1234067.48%1463108642.63%586131744.50%42485749.47%14195371600887196698940.6%11.1%87.9%99.0FUN
_Since Last GM Reset82184501657150235-85610.3721502443946426506812133329446055865189161156115851653923.64%1955671.28%2463108642.63%586131744.50%42485749.47%14195371600887196698938.3%11.3%87.6%98.8FUN
Total82184501657150235-85610.3721502443946426506812133329446055865189161156115851653923.64%1955671.28%2463108642.63%586131744.50%42485749.47%14195371600887196698938.3%11.3%87.6%98.8FUN

Puck Time
Offensive Zone 17
Neutral Zone 23
Defensive Zone 19
Puck Time
Offensive Zone Start 1086
Neutral Zone Start 857
Defensive Zone Start 1317
Puck Time
With Puck 29
Without Puck 31
Faceoffs
Faceoffs Won 1473
Faceoffs Lost 1787
Team Average Shots after League Average Shots after
1st Period 3.69.57
2nd Period 9.220.31
3rd Period 16.030.68
Overtime 16.831.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.30.64
2nd Period 0.91.65
3rd Period 1.82.67
Overtime 1.92.83
Even Strenght Goal 103
PP Goal 39
PK Goal 2
Empty Net Goal 6
Home Away
Win 1212
Lost 2421
Overtime Lost 58
PP Attempt 165
PP Goal 39
PK Attempt 195
PK Goal Against 56
Home
Shots For 16.3
Shots Against 23.1
Goals For 1.8
Goals Against 2.9
Hits 19.3
Shots Blocked 7.5
Pim 6.8
Schedule
DateMatchup Result Detail
Wed, Oct 8Checkers 1NYI@Checkers 1FLONYI2,FLO1RECAP
Thu, Oct 9Checkers 1FLO@Checkers 1TAMFLO1,TAM2RECAP
Sun, Oct 12Checkers 1FLO@Checkers 1EDMFLO2,EDM0RECAP
Tue, Oct 14Checkers 1FLO@Checkers 1PITFLO3,PIT2RECAP
Wed, Oct 15Checkers 1WPG@Checkers 1FLOWPG6,FLO4RECAP
Sat, Oct 18Checkers 1FLO@Checkers 1NYIFLO2,NYI3 (SO)RECAP
Mon, Oct 20Checkers 1LOS@Checkers 1FLOLOS3,FLO1RECAP
Wed, Oct 22Checkers 1FLO@Checkers 1PHIFLO1,PHI2RECAP
Thu, Oct 23Checkers 1WAS@Checkers 1FLOWAS4,FLO2RECAP
Sun, Oct 26Checkers 1FLO@Checkers 1TAMFLO3,TAM1RECAP
Tue, Oct 28Checkers 1BOS@Checkers 1FLOBOS4,FLO7RECAP
Thu, Oct 30Checkers 1FLO@Checkers 1BOSFLO4,BOS3RECAP
Fri, Oct 31Checkers 1FLO@Checkers 1WASFLO2,WAS1 (SO)RECAP
Sat, Nov 1Checkers 1PHI@Checkers 1FLOPHI1,FLO2RECAP
Tue, Nov 4Checkers 1FLO@Checkers 1CARFLO3,CAR4 (OT)RECAP
Wed, Nov 5Checkers 1PIT@Checkers 1FLOPIT2,FLO3 (OT)RECAP
Sun, Nov 9Checkers 1VAN@Checkers 1FLOVAN2,FLO4RECAP
Mon, Nov 10Checkers 1FLO@Checkers 1TAMFLO1,TAM3RECAP
Wed, Nov 12Checkers 1PIT@Checkers 1FLOPIT2,FLO4RECAP
Thu, Nov 13Checkers 1FLO@Checkers 1BOSFLO1,BOS3RECAP
Sat, Nov 15Checkers 1FLO@Checkers 1CARFLO2,CAR1RECAP
Mon, Nov 17Checkers 1PHO@Checkers 1FLOPHO7,FLO2RECAP
Wed, Nov 19Checkers 1S J@Checkers 1FLOS J1,FLO0 (SO)RECAP
Fri, Nov 21Checkers 1FLO@Checkers 1MINFLO0,MIN2RECAP
Mon, Nov 24Checkers 1STL@Checkers 1FLOSTL4,FLO2RECAP
Tue, Nov 25Checkers 1FLO@Checkers 1NASFLO2,NAS1RECAP
Fri, Nov 28Checkers 1TOR@Checkers 1FLOTOR4,FLO2RECAP
Sat, Nov 29Checkers 1FLO@Checkers 1DALFLO0,DAL2RECAP
Tue, Dec 2Checkers 1PHI@Checkers 1FLOPHI4,FLO2RECAP
Thu, Dec 4Checkers 1FLO@Checkers 1NJDFLO1,NJD2RECAP
Sat, Dec 6Checkers 1BUF@Checkers 1FLOBUF3,FLO2 (OT)RECAP
Mon, Dec 8Checkers 1FLO@Checkers 1CLBFLO1,CLB3RECAP
Wed, Dec 10Checkers 1DET@Checkers 1FLODET4,FLO2RECAP
Fri, Dec 12Checkers 1FLO@Checkers 1CALFLO0,CAL1 (SO)RECAP
Sun, Dec 14Checkers 1OTT@Checkers 1FLOOTT4,FLO0RECAP
Mon, Dec 15Checkers 1FLO@Checkers 1PHOFLO4,PHO6RECAP
Thu, Dec 18Checkers 1CLB@Checkers 1FLOCLB4,FLO1RECAP
Sat, Dec 20Checkers 1FLO@Checkers 1BUFFLO1,BUF2 (SO)RECAP
Sun, Dec 21Checkers 1FLO@Checkers 1NYRFLO2,NYR4RECAP
Tue, Dec 23Checkers 1NJD@Checkers 1FLONJD1,FLO2 (SO)RECAP
Fri, Dec 26Checkers 1FLO@Checkers 1STLFLO2,STL5RECAP
Sun, Dec 28Checkers 1NYR@Checkers 1FLONYR4,FLO2RECAP
Tue, Dec 30Checkers 1FLO@Checkers 1SEAFLO0,SEA4RECAP
Wed, Dec 31Checkers 1FLO@Checkers 1NYIFLO2,NYI1 (SO)RECAP
Thu, Jan 1Checkers 1LOS@Checkers 1FLOLOS5,FLO2RECAP
Mon, Jan 5Checkers 1FLO@Checkers 1OTTFLO2,OTT4RECAP
Tue, Jan 6Checkers 1BOS@Checkers 1FLOBOS7,FLO1RECAP
Thu, Jan 8Checkers 1FLO@Checkers 1NYRFLO1,NYR3RECAP
Fri, Jan 9Checkers 1SEA@Checkers 1FLOSEA5,FLO3RECAP
Mon, Jan 12Checkers 1FLO@Checkers 1COLFLO3,COL2 (SO)RECAP
Tue, Jan 13Checkers 1CHI@Checkers 1FLOCHI4,FLO6RECAP
Fri, Jan 16Checkers 1FLO@Checkers 1WPGFLO1,WPG2 (SO)RECAP
Sat, Jan 17Checkers 1VAN@Checkers 1FLOVAN4,FLO1RECAP
Wed, Jan 21Checkers 1EDM@Checkers 1FLOEDM3,FLO1RECAP
Fri, Jan 23Checkers 1FLO@Checkers 1PHIFLO1,PHI0RECAP
Sun, Jan 25Checkers 1NYR@Checkers 1FLONYR6,FLO0RECAP
Tue, Jan 27Checkers 1FLO@Checkers 1EDMFLO5,EDM2RECAP
Wed, Jan 28Checkers 1TAM@Checkers 1FLOTAM4,FLO1RECAP
Fri, Jan 30Checkers 1FLO@Checkers 1WASFLO0,WAS1RECAP
Sun, Feb 1Checkers 1WPG@Checkers 1FLOWPG0,FLO2RECAP
Thu, Feb 5Checkers 1MIN@Checkers 1FLOMIN2,FLO3 (SO)RECAP
Sat, Feb 7Checkers 1FLO@Checkers 1MTLFLO1,MTL2 (OT)RECAP
Mon, Feb 9Checkers 1NAS@Checkers 1FLONAS2,FLO0RECAP
Tue, Feb 10Checkers 1FLO@Checkers 1S JFLO2,S J4RECAP
Thu, Feb 12Checkers 1FLO@Checkers 1CHIFLO0,CHI4RECAP
Fri, Feb 13Checkers 1FLO@Checkers 1DETFLO4,DET3RECAP
Sun, Feb 15Checkers 1DAL@Checkers 1FLODAL0,FLO3RECAP
Tue, Feb 17Checkers 1MTL@Checkers 1FLOMTL1,FLO3RECAP
Fri, Feb 20Checkers 1CAR@Checkers 1FLOCAR3,FLO2RECAP
Sat, Feb 21Checkers 1FLO@Checkers 1PITFLO2,PIT3RECAP
Wed, Feb 25Checkers 1CAL@Checkers 1FLOCAL1,FLO2RECAP
Fri, Feb 27Checkers 1FLO@Checkers 1VANFLO1,VAN5RECAP
Sun, Mar 1Checkers 1NYI@Checkers 1FLONYI4,FLO2RECAP
Mon, Mar 2Checkers 1FLO@Checkers 1TORFLO4,TOR8RECAP
Tue, Mar 3Checkers 1FLO@Checkers 1CHIFLO1,CHI2 (SO)RECAP
Thu, Mar 5Checkers 1CAR@Checkers 1FLOCAR3,FLO1RECAP
Mon, Mar 9Checkers 1FLO@Checkers 1ANAFLO1,ANA2 (SO)RECAP
Tue, Mar 10Checkers 1WAS@Checkers 1FLOWAS2,FLO0RECAP
Fri, Mar 13Checkers 1ANA@Checkers 1FLOANA1,FLO0 (OT)RECAP
Tue, Mar 17Checkers 1COL@Checkers 1FLOCOL3,FLO2 (OT)RECAP
Trade Deadline --- Trades can’t be done after this day is simulated!
Sun, Mar 22Checkers 1CHI@Checkers 1FLOCHI1,FLO0 (OT)RECAP
Mon, Mar 23Checkers 1FLO@Checkers 1LOSFLO1,LOS3RECAP

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
3,180,000$ 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
0 0 - 0.00% 0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
3,180,000$ 3,180,000$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
3,680,330$ 0$ 3,180,427$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 22 21,775$ 0$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
0$ 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

Silver Knights37-34-11, 85pts10Final
Checkers 124-45-13, 61pts

Checkers 124-45-13, 61pts13Final
Reign41-29-12, 94pts

Checkers 124-45-13, 61ptsTue, Mar 24
Reign41-29-12, 94pts

Checkers 124-45-13, 61ptsFri, Oct 10
Crunch43-28-11, 97pts

Checkers 124-45-13, 61ptsMon, Oct 13
Condors37-35-10, 84pts

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
Mitchell Stephens
Checkers 1Checkers 1
28
GOALS
POINTS
Mitchell Stephens
Checkers 1Checkers 1
57
POINTS
WINS
Matt Tomkins
Checkers 1Checkers 1
15
WINS
Expanded Player Leaderboard

Team Stats


Goals For
150
1.83 GFG
Goals Against
235
2.87 GAA
Power Play Percentage
23.6%
39 GF
Penalty Kill Percentage
71.3%
56 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain