Checkers 1Charlotte Checkers 1
2-3-0, 4pts · 12th 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 Stephens0C98.0063408072787775677962626767716215066282,500,000$/4yrs
Givani Smith0RW98.0076676670857472674061606466736315065271,300,000$/2yrs
Jesse Ylonen0RW100.0063437969717370664464596364625215063251,500,000$/4yrs
Mikael Pyyhtia0LW98.0062408274707469654461606467565015063232,500,000$/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/RW98.006943655875595657415452595650501505721975,000$/2yrs
Luke Henman0C98.0055427167546664604354535560535015057251,500,000$/3yrs
Quinn Olson (R)0C/LW/RW100.005940626161605854405453565651501505524975,000$/1yrs
Calen Addison0D98.0058456570667472694069586066655215064251,375,000$/1yrs
Chase Priskie0D98.0056427071617069664062626766595015063292,200,000$/4yrs
Maxence Guenette0D100.0065437066676564654061596863525015063241,800,000$/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 Tomkins098.00716970646969716969706765581506331975,000$/2yrs
Nolan Maier098.006455555959575654565950525015053241,500,000$/2yrs
Scratches
Cameron Whitehead0100.00605757595856565456585450501505322975,000$/1yrs
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Brian Wiseman7165677261561CAN534500,000$
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
1Mitchell StephensCheckers 1Checkers 1 (FLO)C5415-200101331330.77%421.91112101102083.33%001.00000.93
2Calen AddisonCheckers 1Checkers 1 (FLO)D5055-46053040.00%425.390110118000.00%001.00000.22
3Givani SmithCheckers 1Checkers 1 (FLO)RW52241209162812.50%324.6211201180044.19%000.80000.83
4Jack WilliamsCheckers 1Checkers 1 (FLO)RW5123-2401355220.00%115.961120001000.00%000.60000.30
5Mikael PyyhtiaCheckers 1Checkers 1 (FLO)LW5033-255713370.00%117.8901100000044.44%000.60000.34
6Jesse YlonenCheckers 1Checkers 1 (FLO)RW5112-200541225.00%215.180110000010.00%000.40000.25
7Martin ChromiakCheckers 1Checkers 1 (FLO)RW5112300413057.69%19.780000000000.00%000.40000.74
8Chase PriskieCheckers 1Checkers 1 (FLO)D5101-420574214.29%422.121010009000.00%000.2000-0.03
9Devante StephensCheckers 1Checkers 1 (FLO)D501122033100.00%418.410000002000.00%000.20000.28
10Marcel MarcelCheckers 1Checkers 1 (FLO)C/LW/RW5011-40089040.00%219.3100000060027.27%000.20000.02
11Nate SmithCheckers 1Checkers 1 (FLO)C5011300126130.00%013.1700000010037.50%000.20000.48
12Luke HenmanCheckers 1Checkers 1 (FLO)C5101-200712178.33%117.1800000000042.86%000.20000.23
13Maxence GuenetteCheckers 1Checkers 1 (FLO)D501120021020.00%117.900000009000.00%000.20000.30
14Charles-Alexis LegaultCheckers 1Checkers 1 (FLO)D5000-16011100.00%115.390000000000.00%000.0000-0.26
15Nikita GrebenkinCheckers 1Checkers 1 (FLO)RW5000-300114250.00%014.4000000050045.16%000.0000-0.09
16Quinn OlsonCheckers 1Checkers 1 (FLO)C/LW/RW500000021000.00%05.7700000030025.00%000.00000.01
17Tobias BjornfotCheckers 1Checkers 1 (FLO)D5000-10043000.00%415.590000008000.00%000.00000.03
18Mason MillmanCheckers 1Checkers 1 (FLO)D500000030010.00%06.200000000000.00%000.00000.02
Team Total or Average90111930-1627511111424659.65%3316.45461081123752143.26%2152814000.4100
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)52200.8942.2926201109458000.000050110
2Nolan MaierCheckers 1Checkers 1 (FLO)10100.9173.33360022415000.000005000
Team Total or Average62300.8982.41299011211873000.000055110
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$ RFA
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$ RFA
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


# - Luke Henman


# - Nikita Grebenkin


# - Marcel Marcel

Defensive Pairings


# - Calen Addison


# - Chase Priskie


# - Maxence Guenette


# - Devante Stephens


# - Tobias Bjornfot


# - 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


# - 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 1Moose1010000046-200.000461000335032203757036772222100.00%10100.00%0348241.46%357347.95%246040.00%903895531135525.0%12.5%83.3%95.8FUN
2Checkers 1Condors1100000020221.0002350133502220375701232245120.00%10100.00%0348241.46%357347.95%246040.00%9038955311355100.0%9.1%100.0%109.1LUCKY
3Checkers 1Islanders1010000012-100.000123003350172037570165422000.00%2150.00%0348241.46%357347.95%246040.00%903895531135550.0%5.9%87.5%93.4Unlucky
4Checkers 1 Penguins1100000032121.0003690033502220375703411425100.00%20100.00%1348241.46%357347.95%246040.00%903895531135560.0%13.6%94.1%107.8LUCKY
5Checkers 1Crunch1010000012-100.00012300335021203757020710183133.33%5180.00%0348241.46%357347.95%246040.00%90389553113550.0%4.8%90.0%94.8Unlucky
_Vs Division1110000012-121.00012300335021203757020710183133.33%5180.00%0348241.46%357347.95%246040.00%90389553113550.0%4.8%90.0%94.8Unlucky
_Vs Conference3120000056-120.33351015003350602037570702318654125.00%9277.78%1348241.46%357347.95%246040.00%903895531135550.0%8.3%91.4%99.8DULL
_Since Last GM Reset523000001112-140.4001119300133501142037570118332711111436.36%11281.82%1348241.46%357347.95%246040.00%903895531135541.2%9.6%89.8%99.5FUN
Total523000001112-140.4001119300133501142037570118332711111436.36%11281.82%1348241.46%357347.95%246040.00%903895531135541.2%9.6%89.8%99.5FUN

Puck Time
Offensive Zone 18
Neutral Zone 22
Defensive Zone 19
Puck Time
Offensive Zone Start 82
Neutral Zone Start 60
Defensive Zone Start 73
Puck Time
With Puck 29
Without Puck 30
Faceoffs
Faceoffs Won 93
Faceoffs Lost 122
Team Average Shots after League Average Shots after
1st Period 4.09.57
2nd Period 11.420.31
3rd Period 22.830.68
Overtime 22.831.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.60.64
2nd Period 1.21.65
3rd Period 2.22.67
Overtime 2.22.83
Even Strenght Goal 6
PP Goal 4
PK Goal 1
Empty Net Goal 0
Home Away
Win 02
Lost 21
Overtime Lost 00
PP Attempt 11
PP Goal 4
PK Attempt 11
PK Goal Against 2
Home
Shots For 22.8
Shots Against 23.6
Goals For 2.2
Goals Against 2.4
Hits 22.2
Shots Blocked 6.6
Pim 5.4
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 1NYI
Mon, Oct 20Checkers 1LOS@Checkers 1FLO
Wed, Oct 22Checkers 1FLO@Checkers 1PHI
Thu, Oct 23Checkers 1WAS@Checkers 1FLO
Sun, Oct 26Checkers 1FLO@Checkers 1TAM
Tue, Oct 28Checkers 1BOS@Checkers 1FLO
Thu, Oct 30Checkers 1FLO@Checkers 1BOS
Fri, Oct 31Checkers 1FLO@Checkers 1WAS
Sat, Nov 1Checkers 1PHI@Checkers 1FLO
Tue, Nov 4Checkers 1FLO@Checkers 1CAR
Wed, Nov 5Checkers 1PIT@Checkers 1FLO
Sun, Nov 9Checkers 1VAN@Checkers 1FLO
Mon, Nov 10Checkers 1FLO@Checkers 1TAM
Wed, Nov 12Checkers 1PIT@Checkers 1FLO
Thu, Nov 13Checkers 1FLO@Checkers 1BOS
Sat, Nov 15Checkers 1FLO@Checkers 1CAR
Mon, Nov 17Checkers 1PHO@Checkers 1FLO
Wed, Nov 19Checkers 1S J@Checkers 1FLO
Fri, Nov 21Checkers 1FLO@Checkers 1MIN
Mon, Nov 24Checkers 1STL@Checkers 1FLO
Tue, Nov 25Checkers 1FLO@Checkers 1NAS
Fri, Nov 28Checkers 1TOR@Checkers 1FLO
Sat, Nov 29Checkers 1FLO@Checkers 1DAL
Tue, Dec 2Checkers 1PHI@Checkers 1FLO
Thu, Dec 4Checkers 1FLO@Checkers 1NJD
Sat, Dec 6Checkers 1BUF@Checkers 1FLO
Mon, Dec 8Checkers 1FLO@Checkers 1CLB
Wed, Dec 10Checkers 1DET@Checkers 1FLO
Fri, Dec 12Checkers 1FLO@Checkers 1CAL
Sun, Dec 14Checkers 1OTT@Checkers 1FLO
Mon, Dec 15Checkers 1FLO@Checkers 1PHO
Thu, Dec 18Checkers 1CLB@Checkers 1FLO
Sat, Dec 20Checkers 1FLO@Checkers 1BUF
Sun, Dec 21Checkers 1FLO@Checkers 1NYR
Tue, Dec 23Checkers 1NJD@Checkers 1FLO
Fri, Dec 26Checkers 1FLO@Checkers 1STL
Sun, Dec 28Checkers 1NYR@Checkers 1FLO
Tue, Dec 30Checkers 1FLO@Checkers 1SEA
Wed, Dec 31Checkers 1FLO@Checkers 1NYI
Thu, Jan 1Checkers 1LOS@Checkers 1FLO
Mon, Jan 5Checkers 1FLO@Checkers 1OTT
Tue, Jan 6Checkers 1BOS@Checkers 1FLO
Thu, Jan 8Checkers 1FLO@Checkers 1NYR
Fri, Jan 9Checkers 1SEA@Checkers 1FLO
Mon, Jan 12Checkers 1FLO@Checkers 1COL
Tue, Jan 13Checkers 1CHI@Checkers 1FLO
Fri, Jan 16Checkers 1FLO@Checkers 1WPG
Sat, Jan 17Checkers 1VAN@Checkers 1FLO
Wed, Jan 21Checkers 1EDM@Checkers 1FLO
Fri, Jan 23Checkers 1FLO@Checkers 1PHI
Sun, Jan 25Checkers 1NYR@Checkers 1FLO
Tue, Jan 27Checkers 1FLO@Checkers 1EDM
Wed, Jan 28Checkers 1TAM@Checkers 1FLO
Fri, Jan 30Checkers 1FLO@Checkers 1WAS
Sun, Feb 1Checkers 1WPG@Checkers 1FLO
Thu, Feb 5Checkers 1MIN@Checkers 1FLO
Sat, Feb 7Checkers 1FLO@Checkers 1MTL
Mon, Feb 9Checkers 1NAS@Checkers 1FLO
Tue, Feb 10Checkers 1FLO@Checkers 1S J
Thu, Feb 12Checkers 1FLO@Checkers 1CHI
Fri, Feb 13Checkers 1FLO@Checkers 1DET
Sun, Feb 15Checkers 1DAL@Checkers 1FLO
Tue, Feb 17Checkers 1MTL@Checkers 1FLO
Fri, Feb 20Checkers 1CAR@Checkers 1FLO
Sat, Feb 21Checkers 1FLO@Checkers 1PIT
Wed, Feb 25Checkers 1CAL@Checkers 1FLO
Fri, Feb 27Checkers 1FLO@Checkers 1VAN
Sun, Mar 1Checkers 1NYI@Checkers 1FLO
Mon, Mar 2Checkers 1FLO@Checkers 1TOR
Tue, Mar 3Checkers 1FLO@Checkers 1CHI
Thu, Mar 5Checkers 1CAR@Checkers 1FLO
Mon, Mar 9Checkers 1FLO@Checkers 1ANA
Trade Deadline --- Trades can’t be done after this day is simulated!
Tue, Mar 10Checkers 1WAS@Checkers 1FLO
Fri, Mar 13Checkers 1ANA@Checkers 1FLO
Tue, Mar 17Checkers 1COL@Checkers 1FLO
Sun, Mar 22Checkers 1CHI@Checkers 1FLO
Mon, Mar 23Checkers 1FLO@Checkers 1LOS

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
39 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
176,863$ 0$ 153,198$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 184 21,775$ 3,505,775$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
3,505,775$ 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 12-3-0, 4pts32Final
Penguins1-2-0, 2pts

Moose3-1-0, 6pts64Final
Checkers 12-3-0, 4pts

Moose3-1-0, 6ptsThu, Oct 16
Checkers 12-3-0, 4pts

Checkers 12-3-0, 4ptsFri, Oct 10
Crunch3-0-0, 6pts

Checkers 12-3-0, 4ptsMon, Oct 13
Condors2-1-1, 5pts

TRANSACTIONS



 

Team Info

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

Checkers 1 Affiliation

Checkers 1
General ManagerMaxime Boisclair
Head CoachMarco Sturm
StadiumOffice Depot Center
Capacity24,250

Team Leaders


GOALS
Mitchell Stephens
Checkers 1Checkers 1
4
GOALS
POINTS
Mitchell Stephens
Checkers 1Checkers 1
5
POINTS
WINS
Matt Tomkins
Checkers 1Checkers 1
2
WINS
Expanded Player Leaderboard

Team Stats


Goals For
11
2.20 GFG
Goals Against
12
2.40 GAA
Power Play Percentage
36.4%
4 GF
Penalty Kill Percentage
81.8%
2 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain