Checkers 1Charlotte Checkers 1
39-35-8, 86pts · 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
Karson Kuhlman0RW100.007243877574827970406563706969591506827950,000$/1yrs
Mitchell Stephens0C100.0060437071677067666463616266565015063261,500,000$/2yrs
Austin Poganski0RW100.006345696664686862426254646155501506127900,000$/1yrs
Semyon Der-Arguchintsev0C100.005443707155626163596356556450501505922975,000$/2yrs
Bobby Trivigno0LW100.0054436771526362604158525961525015058241,000,000$/1yrs
Jack Finley (R)0C100.006751646071575761515657605950501505820975,000$/2yrs
Martin Chromiak (R)0RW100.0057407165625757624159595362505015058201,500,000$/2yrs
Luke Henman0C100.005748657056636260515453566151501505723975,000$/2yrs
Pierre-Cedric Labrie0LW100.0057516357676261564054535455706115056371,000,000$/2yrs
Andrei Bakanov0LW100.0065406859695857564053535656505015056211,000,000$/1yrs
Tobias Bjornfot0D100.0065437970716867644058576763535015064221,600,000$/3yrs
Sean Day0D100.0066506664716565634061526860535015062251,250,000$/1yrs
Isaak Phillips0D100.006548597066615963406157686450501506221975,000$/3yrs
Maxence Guenette0D100.005748717064636365406355656350501506222975,000$/2yrs
Chase Priskie0D100.0056446971616766644058606365555015061271,000,000$/2yrs
Devante Stephens0D100.0061546170636665594053546761545015061262,200,000$/2yrs
Alex Green0D100.006252656665636359405453645953501506025975,000$/3yrs
Axel Andersson0D100.006145687063615957405153636051501505923975,000$/3yrs
Scratches
Givani Smith0LW/RW71.327980557186757469406362666864541506625900,000$/1yrs
Pavel Dorofeyev0C100.005844667059615962565757566350501505822975,000$/3yrs
Mikael Pyyhtia (R)0C100.005640686856585756405354545950501505621975,000$/2yrs
Dmitry Ovchinnikov (R)0C/LW/RW100.00524552585252505140505051525050150510975,000$/3yrs
Mason Millman0D100.005346515953525051405050535250501505221975,000$/3yrs
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Kevin Poulin0100.006871716668687067686968696215063331,000,000$/1yrs
Nolan Maier0100.006457576061606159626056505015056221,000,000$/2yrs
Scratches
Ryan Bednard0100.00625857666259595760605353501505626975,000$/3yrs
Tommy Nappier0100.00645755666258585559615253501505525975,000$/3yrs
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jeremy Colliton7274706956551CAN382500,000$
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
1Mitchell StephensCheckers 1Checkers 1 (FLO)C75364278036301072116611917.06%3821.63718251451399254.96%131.04280.94
2Austin PoganskiCheckers 1Checkers 1 (FLO)RW82204565054201041925210910.42%3521.3781422101295043.92%100.792110.66
3Givani SmithCheckers 1Checkers 1 (FLO)LW/RW712127488172701401796311311.73%3319.20347527792143.86%010.68140.37
4Bobby TrivignoCheckers 1Checkers 1 (FLO)LW57202343-1734568156367512.82%2719.9891019112953153.85%000.75150.57
5Semyon Der-ArguchintsevCheckers 1Checkers 1 (FLO)C821626421311585125347412.80%2115.85213101314151.27%200.51130.44
6Martin ChromiakCheckers 1Checkers 1 (FLO)RW82141731315599111417612.61%2416.94167000553037.86%000.38120.39
7Sean DayCheckers 1Checkers 1 (FLO)D825202597630936228358.06%6822.14314033152210.00%000.30000.19
8Tobias BjornfotCheckers 1Checkers 1 (FLO)D7471522727255910844426.48%7723.58527011150020.00%000.30000.35
9Jack FinleyCheckers 1Checkers 1 (FLO)C8291221-5335869421469.57%812.0424600002046.46%000.26000.20
10Pierre-Cedric LabrieCheckers 1Checkers 1 (FLO)LW766915-834101216318339.52%2618.66235213640043.33%000.20000.12
11Karson KuhlmanCheckers 1Checkers 1 (FLO)RW4110414-13554810819689.26%1018.3700000001141.18%000.34230.36
12Isaak PhillipsCheckers 1Checkers 1 (FLO)D824101446515585922216.78%5315.5223501185100.00%000.17110.09
13Maxence GuenetteCheckers 1Checkers 1 (FLO)D821910-17030495119171.96%5518.03123011102000.00%000.12110.01
14Pavel DorofeyevCheckers 1Checkers 1 (FLO)C78369-560603213209.38%1311.46011011490049.19%000.12010.09
15Devante StephensCheckers 1Checkers 1 (FLO)D82088-103515512410100.00%4914.6901101164000.00%000.10000.00
16Luke HenmanCheckers 1Checkers 1 (FLO)C29314-220104514216.67%310.2611200030047.14%000.14000.20
17Andrei BakanovCheckers 1Checkers 1 (FLO)LW162131402796522.22%414.5100000060040.00%000.19000.20
18Chase PriskieCheckers 1Checkers 1 (FLO)D73022-81915261612160.00%1912.52000000130066.67%000.0301-0.03
19Axel AnderssonCheckers 1Checkers 1 (FLO)D82022-72351610250.00%1310.130000001000.00%000.0200-0.05
20Dmitry OvchinnikovCheckers 1Checkers 1 (FLO)C/LW/RW26112-51003933633.33%915.17000000111025.00%000.0800-0.03
21Alex GreenCheckers 1Checkers 1 (FLO)D82000-925152613960.00%2111.510000002900100.00%000.0000-0.07
22Mason MillmanCheckers 1Checkers 1 (FLO)D100000000000.00%01.350000000000.00%000.00000.00
Team Total or Average1437178280458-418153551372167153291710.65%60616.5346711171390111627116733950.34%3691418435440.391240
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
1Kevin PoulinCheckers 1Checkers 1 (FLO)47231950.8902.36272505107976528500.68732470311
2Ryan BednardCheckers 1Checkers 1 (FLO)60210.8873.75272001715185000.0000314000
3Nolan MaierCheckers 1Checkers 1 (FLO)60100.8854.3715100119660000.0000149000
Team Total or Average59232260.8902.573149051351223673500.687325163311
Salary
Player Name POS Age Cap Hit 2017-18 2018-19 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25
Alex Green D25975,000$975,000$ 975,000$ 975,000$ UFA
Andrei Bakanov LW211,000,000$1,000,000$ RFA
Austin Poganski RW27900,000$900,000$ UFA
Axel Andersson D23975,000$975,000$ 975,000$ 975,000$ RFA
Bobby Trivigno LW241,000,000$1,000,000$ RFA
Chase Priskie D271,000,000$1,000,000$ 1,000,000$ UFA
Devante Stephens D262,200,000$2,200,000$ 2,200,000$ UFA
Dmitry Ovchinnikov C/LW/RW0975,000$975,000$ 975,000$ 975,000$
Givani Smith LW/RW25900,000$900,000$ RFA
Isaak Phillips D21975,000$975,000$ 975,000$ 975,000$ RFA
Jack Finley C20975,000$975,000$ 975,000$ RFA
Karson Kuhlman RW27950,000$950,000$ UFA
Kevin Poulin G331,000,000$1,000,000$ UFA
Luke Henman C23975,000$975,000$ 975,000$ RFA
Martin Chromiak RW201,500,000$1,500,000$ 1,500,000$ RFA
Mason Millman D21975,000$975,000$ 975,000$ 975,000$ RFA
Maxence Guenette D22975,000$975,000$ 975,000$ RFA
Mikael Pyyhtia C21975,000$975,000$ 975,000$ RFA
Mitchell Stephens C261,500,000$1,500,000$ 1,500,000$ UFA
Nolan Maier G221,000,000$1,000,000$ 1,000,000$ RFA
Pavel Dorofeyev C22975,000$975,000$ 975,000$ 975,000$ RFA
Pierre-Cedric Labrie LW371,000,000$1,000,000$ 1,000,000$ UFA
Ryan Bednard G26975,000$975,000$ 975,000$ 975,000$ UFA
Sean Day D251,250,000$1,250,000$ RFA
Semyon Der-Arguchintsev C22975,000$975,000$ 975,000$ RFA
Tobias Bjornfot D221,600,000$1,600,000$ 1,600,000$ 1,600,000$ RFA
Tommy Nappier G25975,000$975,000$ 975,000$ 975,000$ UFA

Lines
Forward Lines


# - Bobby Trivigno


# - Karson Kuhlman


# - Austin Poganski


# - Pierre-Cedric Labrie


# - Jack Finley


# - Karson Kuhlman


# - Karson Kuhlman


# - Semyon Der-Arguchintsev


# - Martin Chromiak


# - Mitchell Stephens


# - Karson Kuhlman


# - Austin Poganski

Defensive Pairings


# - Tobias Bjornfot


# - Sean Day


# - Tobias Bjornfot


# - Maxence Guenette


# - Chase Priskie


# - Devante Stephens

1st Power Play Unit


# - Bobby Trivigno


# - Martin Chromiak


# - Austin Poganski


# - Tobias Bjornfot


# - Sean Day

2nd Power Play Unit


# - Pierre-Cedric Labrie


# - Jack Finley


# - Bobby Trivigno


# - Tobias Bjornfot


# - Maxence Guenette

Goalies


# - Kevin Poulin


# - Nolan Maier

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 1Gulls2020000026-400.0002240035668213484566016695146171332400.00%40100.00%0713139651.07%654133249.10%50496052.50%14826211588875191096025.0%4.2%87.0%91.1Unlucky
2Checkers 1Moose2000002075241.00079160035668213474566016695125712443133.33%60100.00%0713139651.07%654133249.10%50496052.50%14826211588875191096054.5%14.9%80.0%94.9FUN
3Checkers 1Bruins412000101217-540.50012152700356682131084566016695113440585513430.77%14378.57%1713139651.07%654133249.10%50496052.50%14826211588875191096036.4%11.1%87.3%98.4FUN
4Checkers 1Americans3120000055020.333571200356682136845660166951481734526233.33%7357.14%0713139651.07%654133249.10%50496052.50%14826211588875191096060.0%7.4%89.6%96.9Unlucky
5Checkers 1Heat21100000115620.50011182900356682134645660166951311014455240.00%2150.00%0713139651.07%654133249.10%50496052.50%14826211588875191096069.2%23.9%83.9%107.8FUN
6Checkers 1Wolves412001001114-330.375111122003566821391456601669511483175754125.00%15473.33%1713139651.07%654133249.10%50496052.50%14826211588875191096050.0%12.1%90.5%102.6FUN
7Checkers 1IceHogs2010000126-410.25023500356682133945660166951415633400.00%3233.33%0713139651.07%654133249.10%50496052.50%14826211588875191096033.3%5.1%85.4%90.5Unlucky
8Checkers 1Eagles3100010143140.667471101356682136045660166951361612478112.50%6183.33%0713139651.07%654133249.10%50496052.50%14826211588875191096060.0%6.7%91.7%98.3DULL
9Checkers 1Monsters2200000082641.000814220035668213604566016695117811277114.29%3166.67%1713139651.07%654133249.10%50496052.50%14826211588875191096087.5%13.3%88.2%101.6FUN
10Checkers 1Stars2200000062441.000610160035668213444566016695145915404250.00%50100.00%1713139651.07%654133249.10%50496052.50%14826211588875191096066.7%13.6%95.6%109.2LUCKY
11Checkers 1Griffins2110000098120.5009152400356682135245660166951842352527114.29%11190.91%0713139651.07%654133249.10%50496052.50%14826211588875191096053.3%17.3%90.5%107.8FUN
12Checkers 1Condors2110000032120.5003690135668213294566016695128129267228.57%20100.00%0713139651.07%654133249.10%50496052.50%14826211588875191096033.3%10.3%92.9%103.2LUCKY
13Checkers 1Reign2110000056-120.500581300356682134645660166951319203233100.00%5260.00%1713139651.07%654133249.10%50496052.50%14826211588875191096033.3%10.9%80.6%91.5FUN
14Checkers 1Wild3210000053240.66758130135668213664566016695153167528225.00%110.00%0713139651.07%654133249.10%50496052.50%14826211588875191096060.0%7.6%94.3%101.9DULL
15Checkers 1Rocket2110000033020.50035801356682133445660166951311310388112.50%50100.00%2713139651.07%654133249.10%50496052.50%14826211588875191096040.0%8.8%90.3%99.1Unlucky
16Checkers 1Admirals2110000023-120.50023511356682133145660166951144628300.00%3166.67%1713139651.07%654133249.10%50496052.50%14826211588875191096050.0%6.5%78.6%85.0Unlucky
17Checkers 1Comets2100000143130.7504610003566821333456601669513011730100.00%10100.00%0713139651.07%654133249.10%50496052.50%14826211588875191096057.1%12.1%90.0%102.1FUN
18Checkers 1Islanders43100000157860.750152338013566821390456601669515423306110330.00%10190.00%3713139651.07%654133249.10%50496052.50%14826211588875191096066.7%16.7%87.0%103.7FUN
19Checkers 1Wolf Pack40300010316-1320.25033600356682138045660166951109337578600.00%15940.00%0713139651.07%654133249.10%50496052.50%14826211588875191096030.0%3.8%85.3%89.1Unlucky
20Checkers 1Belleville Senators2110000045-120.50046100035668213414566016695137232136200.00%3166.67%0713139651.07%654133249.10%50496052.50%14826211588875191096050.0%9.8%86.5%96.2FUN
21Checkers 1Phantoms421010001112-160.750111627003566821392456601669511023078729555.56%14471.43%0713139651.07%654133249.10%50496052.50%14826211588875191096042.9%12.0%88.2%100.2FUN
22Checkers 1Roadrunners2200000093641.0009162500356682133645660166951571418358337.50%4175.00%1713139651.07%654133249.10%50496052.50%14826211588875191096075.0%25.0%94.7%119.7LUCKY
23Checkers 1 Penguins413000001215-320.250121931003566821394456601669511514550744125.00%10370.00%0713139651.07%654133249.10%50496052.50%14826211588875191096047.8%12.8%90.1%102.8FUN
24Checkers 1Barracuda3300000061561.0006101602356682136445660166951362011417114.29%30100.00%0713139651.07%654133249.10%50496052.50%14826211588875191096083.3%9.4%97.2%106.6LUCKY
25Checkers 1Thunderbirds2020000047-300.000471100356682134845660166951803232395240.00%6266.67%0713139651.07%654133249.10%50496052.50%14826211588875191096028.6%8.3%91.3%99.6DULL
26Checkers 1Crunch3110000166030.5006121800356682134345660166951541717416233.33%60100.00%0713139651.07%654133249.10%50496052.50%14826211588875191096040.0%14.0%88.9%102.8FUN
27Checkers 1Marlies2110000065120.5006121800356682134845660166951642854538225.00%7185.71%0713139651.07%654133249.10%50496052.50%14826211588875191096050.0%12.5%92.2%104.7LUCKY
28Checkers 1Canucks3020001047-320.333448003566821338456601669516731223710220.00%6183.33%0713139651.07%654133249.10%50496052.50%14826211588875191096025.0%10.5%89.6%100.1FUN
29Checkers 1Hershey Bears40200110710-330.375710170035668213874566016695113551529011218.18%11281.82%0713139651.07%654133249.10%50496052.50%14826211588875191096038.5%8.0%92.6%100.6DULL
30Checkers 1Silver Knights2110000012-120.500123013566821329456601669512581940500.00%20100.00%0713139651.07%654133249.10%50496052.50%14826211588875191096033.3%3.4%92.0%95.4DULL
31Checkers 1Checkers 22010000136-310.25034700356682134345660166951521311296233.33%3166.67%0713139651.07%654133249.10%50496052.50%14826211588875191096016.7%7.0%88.5%95.4Unlucky
_Vs Division18814012304549-4260.7224572117013566821339445660166951452161246327501224.00%53983.02%3713139651.07%654133249.10%50496052.50%14826211588875191096045.2%11.4%89.2%100.6FUN
_Vs Conference47162201242111127-16460.489111163274023566821310074566016695111814015948191052624.76%1273374.02%8713139651.07%654133249.10%50496052.50%14826211588875191096047.5%11.0%89.2%100.3FUN
_Since Last GM Reset82323501365190195-5860.5241902914811935668213173545660166951186561685114341924825.00%1934676.17%12713139651.07%654133249.10%50496052.50%14826211588875191096048.8%11.0%89.5%100.5FUN
Total82323501365190195-5860.5241902914811935668213173545660166951186561685114341924825.00%1934676.17%12713139651.07%654133249.10%50496052.50%14826211588875191096048.8%11.0%89.5%100.5FUN

Puck Time
Offensive Zone 18
Neutral Zone 23
Defensive Zone 19
Puck Time
Offensive Zone Start 1396
Neutral Zone Start 960
Defensive Zone Start 1332
Puck Time
With Puck 29
Without Puck 30
Faceoffs
Faceoffs Won 1871
Faceoffs Lost 1817
Team Average Shots after League Average Shots after
1st Period 5.69.57
2nd Period 12.920.31
3rd Period 21.030.68
Overtime 21.731.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.40.64
2nd Period 1.21.65
3rd Period 2.22.67
Overtime 2.42.83
Even Strenght Goal 129
PP Goal 48
PK Goal 12
Empty Net Goal 1
Home Away
Win 2217
Lost 1817
Overtime Lost 17
PP Attempt 192
PP Goal 48
PK Attempt 193
PK Goal Against 46
Home
Shots For 21.2
Shots Against 22.7
Goals For 2.3
Goals Against 2.4
Hits 17.5
Shots Blocked 7.5
Pim 10.4
Schedule
DateMatchup Result Detail
Sun, Sep 10Checkers 1NYI@Checkers 1FLONYI2,FLO0RECAP
Tue, Sep 12Checkers 1FLO@Checkers 1VANFLO0,VAN2RECAP
Wed, Sep 13Checkers 1TAM@Checkers 1FLOTAM1,FLO0RECAP
Sat, Sep 16Checkers 1FLO@Checkers 1PITFLO1,PIT4RECAP
Mon, Sep 18Checkers 1PHI@Checkers 1FLOPHI1,FLO2 (OT)RECAP
Tue, Sep 19Checkers 1FLO@Checkers 1CARFLO2,CAR3 (OT)RECAP
Fri, Sep 22Checkers 1FLO@Checkers 1PHIFLO0,PHI7RECAP
Sat, Sep 23Checkers 1NYR@Checkers 1FLONYR7,FLO0RECAP
Mon, Sep 25Checkers 1FLO@Checkers 1NYIFLO2,NYI0RECAP
Wed, Sep 27Checkers 1CAR@Checkers 1FLOCAR1,FLO3RECAP
Fri, Sep 29Checkers 1BOS@Checkers 1FLOBOS4,FLO5 (SO)RECAP
Sun, Oct 1Checkers 1FLO@Checkers 1COLFLO1,COL2 (SO)RECAP
Mon, Oct 2Checkers 1FLO@Checkers 1NYRFLO0,NYR2RECAP
Wed, Oct 4Checkers 1BUF@Checkers 1FLOBUF1,FLO3RECAP
Sat, Oct 7Checkers 1PIT@Checkers 1FLOPIT3,FLO1RECAP
Sun, Oct 8Checkers 1FLO@Checkers 1S JFLO3,S J1RECAP
Tue, Oct 10Checkers 1CAR@Checkers 1FLOCAR3,FLO1RECAP
Thu, Oct 12Checkers 1FLO@Checkers 1TORFLO4,TOR1RECAP
Sun, Oct 15Checkers 1FLO@Checkers 1DETFLO7,DET3RECAP
Mon, Oct 16Checkers 1FLO@Checkers 1MTLFLO2,MTL0RECAP
Wed, Oct 18Checkers 1OTT@Checkers 1FLOOTT1,FLO2RECAP
Thu, Oct 19Checkers 1FLO@Checkers 1CHIFLO0,CHI2RECAP
Sun, Oct 22Checkers 1PHO@Checkers 1FLOPHO1,FLO4RECAP
Tue, Oct 24Checkers 1WPG@Checkers 1FLOWPG2,FLO3 (SO)RECAP
Thu, Oct 26Checkers 1FLO@Checkers 1EDMFLO2,EDM0RECAP
Sat, Oct 28Checkers 1EDM@Checkers 1FLOEDM2,FLO1RECAP
Tue, Oct 31Checkers 1FLO@Checkers 1COLFLO0,COL1 (OT)RECAP
Thu, Nov 2Checkers 1NAS@Checkers 1FLONAS0,FLO1RECAP
Sat, Nov 4Checkers 1FLO@Checkers 1NASFLO1,NAS3RECAP
Sun, Nov 5Checkers 1PHI@Checkers 1FLOPHI2,FLO5RECAP
Wed, Nov 8Checkers 1FLO@Checkers 1NYIFLO7,NYI2RECAP
Thu, Nov 9Checkers 1FLO@Checkers 1ANAFLO0,ANA1RECAP
Sat, Nov 11Checkers 1DET@Checkers 1FLODET5,FLO2RECAP
Tue, Nov 14Checkers 1MTL@Checkers 1FLOMTL3,FLO1RECAP
Thu, Nov 16Checkers 1FLO@Checkers 1STLFLO2,STL4RECAP
Fri, Nov 17Checkers 1MIN@Checkers 1FLOMIN1,FLO2RECAP
Mon, Nov 20Checkers 1PIT@Checkers 1FLOPIT5,FLO3RECAP
Tue, Nov 21Checkers 1FLO@Checkers 1CARFLO5,CAR7RECAP
Thu, Nov 23Checkers 1STL@Checkers 1FLOSTL3,FLO2RECAP
Sun, Nov 26Checkers 1FLO@Checkers 1LOSFLO2,LOS1RECAP
Mon, Nov 27Checkers 1CLB@Checkers 1FLOCLB1,FLO4RECAP
Wed, Nov 29Checkers 1FLO@Checkers 1PHOFLO5,PHO2RECAP
Fri, Dec 1Checkers 1FLO@Checkers 1CALFLO3,CAL4RECAP
Sat, Dec 2Checkers 1VAN@Checkers 1FLOVAN3,FLO1RECAP
Wed, Dec 6Checkers 1FLO@Checkers 1WPGFLO4,WPG3 (SO)RECAP
Thu, Dec 7Checkers 1COL@Checkers 1FLOCOL0,FLO3RECAP
Sun, Dec 10Checkers 1WAS@Checkers 1FLOWAS5,FLO3RECAP
Mon, Dec 11Checkers 1FLO@Checkers 1CHIFLO1,CHI2 (SO)RECAP
Wed, Dec 13Checkers 1FLO@Checkers 1BUFFLO2,BUF3RECAP
Fri, Dec 15Checkers 1NYR@Checkers 1FLONYR1,FLO2 (SO)RECAP
Sun, Dec 17Checkers 1FLO@Checkers 1PITFLO7,PIT3RECAP
Tue, Dec 19Checkers 1NYI@Checkers 1FLONYI3,FLO6RECAP
Fri, Dec 22Checkers 1FLO@Checkers 1NJDFLO1,NJD2 (SO)RECAP
Sat, Dec 23Checkers 1MIN@Checkers 1FLOMIN0,FLO2RECAP
Mon, Dec 25Checkers 1CAL@Checkers 1FLOCAL1,FLO8RECAP
Wed, Dec 27Checkers 1FLO@Checkers 1CLBFLO4,CLB1RECAP
Sat, Dec 30Checkers 1CHI@Checkers 1FLOCHI4,FLO1RECAP
Mon, Jan 1Checkers 1FLO@Checkers 1TAMFLO3,TAM1RECAP
Tue, Jan 2Checkers 1FLO@Checkers 1SEAFLO3,SEA4 (SO)RECAP
Thu, Jan 4Checkers 1BOS@Checkers 1FLOBOS2,FLO3RECAP
Sun, Jan 7Checkers 1FLO@Checkers 1WASFLO1,WAS2 (OT)RECAP
Mon, Jan 8Checkers 1WAS@Checkers 1FLOWAS1,FLO2 (SO)RECAP
Wed, Jan 10Checkers 1NJD@Checkers 1FLONJD1,FLO3RECAP
Sat, Jan 13Checkers 1FLO@Checkers 1MINFLO1,MIN2RECAP
Mon, Jan 15Checkers 1ANA@Checkers 1FLOANA5,FLO2RECAP
Tue, Jan 16Checkers 1FLO@Checkers 1WASFLO1,WAS2RECAP
Thu, Jan 18Checkers 1FLO@Checkers 1OTTFLO2,OTT4RECAP
Sat, Jan 20Checkers 1TOR@Checkers 1FLOTOR4,FLO2RECAP
Tue, Jan 23Checkers 1CHI@Checkers 1FLOCHI0,FLO1RECAP
Thu, Jan 25Checkers 1FLO@Checkers 1PHIFLO4,PHI2RECAP
Sat, Jan 27Checkers 1BUF@Checkers 1FLOBUF1,FLO0RECAP
Sun, Jan 28Checkers 1FLO@Checkers 1VANFLO3,VAN2 (SO)RECAP
Mon, Jan 29Checkers 1FLO@Checkers 1NYRFLO1,NYR6RECAP
Thu, Feb 1Checkers 1DAL@Checkers 1FLODAL1,FLO3RECAP
Fri, Feb 2Checkers 1FLO@Checkers 1DALFLO3,DAL1RECAP
Mon, Feb 5Checkers 1TAM@Checkers 1FLOTAM4,FLO3 (SO)RECAP
Fri, Feb 9Checkers 1S J@Checkers 1FLOS J0,FLO1RECAP
Trade Deadline --- Trades can’t be done after this day is simulated!
Sun, Feb 11Checkers 1FLO@Checkers 1BOSFLO2,BOS6RECAP
Tue, Feb 13Checkers 1LOS@Checkers 1FLOLOS5,FLO3RECAP
Thu, Feb 15Checkers 1FLO@Checkers 1BOSFLO2,BOS5RECAP
Mon, Feb 19Checkers 1SEA@Checkers 1FLOSEA2,FLO0RECAP
Wed, Feb 21Checkers 1FLO@Checkers 1S JFLO2,S J0RECAP

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
2,947,500$ 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
2,947,500$ 2,947,500$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
3,329,930$ 0$ 2,829,938$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 1 20,768$ 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

Checkers 251-25-6, 108pts20Final
Checkers 139-35-8, 86pts

Checkers 139-35-8, 86pts20Final
Barracuda30-43-9, 69pts

Checkers 139-35-8, 86ptsThu, Feb 22
Barracuda30-43-9, 69pts

Checkers 139-35-8, 86ptsWed, Sep 13
Canucks45-24-13, 103pts

Crunch57-15-10, 124ptsThu, Sep 14
Checkers 139-35-8, 86pts

TRANSACTIONS



 

Team Info

Checkers 1
Head CoachJeremy Colliton
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
36
GOALS
POINTS
Mitchell Stephens
Checkers 1Checkers 1
78
POINTS
WINS
Kevin Poulin
Checkers 1Checkers 1
23
WINS
Expanded Player Leaderboard

Team Stats


Goals For
190
2.32 GFG
Goals Against
195
2.38 GAA
Power Play Percentage
25.0%
48 GF
Penalty Kill Percentage
76.2%
46 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain