Login

Checkers
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Mikkel Aagaard | Morale : 50 | Team Overall : 60
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Team Leaders

Team Stats
Team Info

General ManagerMikkel Aagaard
DivisionDivision 4
ConferenceConference 2
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets1,500


Roster Info

Pro Team23
Farm Team15
Contract Limit38 / 100
Prospects87


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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Lane PedersonX100.0075708065707274698066696461585762756502811,172,000$
2John Beecher (R)X100.008769866881578167915967772553526479650241925,000$
3Milan LucicX100.0087708270825997493966585925919260746403711,348,000$
4Pontus HolmbergXX100.007342916663598664566567682559586374630261827,500$
5Aatu Raty (R)X100.007670926373808563806262625948486375630221902,500$
6Shane Wright (R)X100.007672917874687062805962646147466463630212918,333$
7Graeme Clarke (R)XX100.0070638770668084648059675862474763766302421,260,000$
8Martin PospisilX100.009978567671636364426964602554546546630251941,000$
9Zack Ostapchuk (R)X100.007677817679707454704559625846466074600222825,000$
10Josiah SlavinX100.0067618165617784536649535850444457205602621,065,000$
11Tyce ThompsonX100.0068667262667177515051465844444454205502621,007,000$
12Samuel LabergeX100.007276646876636751645048604644445520550281974,000$
13Olen ZellwegerX100.006541968265787275256454682550496026650212844,167$
14Brandon ScanlinX100.008280816281727851253947644448475174610261966,000$
15Adam WilsbyX100.007367906870758251253947584448475267590251842,500$
Scratches
1Vasily PodkolzinXX100.0099478882725762693763596125626259726402400$
2Luke HenmanX100.0069628466626872546847565953444458205602500$
3Brett Harrison (R)X100.0078709560705861506348486346444456205402200$
4Daylan Kuefler (R)X100.0066715364715253525047535750444454205302300$
5Topi Niemela (R)X100.0065608267626771542549455543474753645702300$
6Lian Bichsel (R)X100.0072834765855252512548415839464649475602100$
TEAM AVERAGE100.00766680697167745854545662435151585360
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Jesper Wallstedt (R)100.005852658360625563605830464655786002211,350,000$
2Dylan Garand (R)100.00495063624950505450513044445130510231902,500$
Scratches
TEAM AVERAGE100.0054516473555653595555304545535456
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
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


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
Aatu RatyCheckers (FLO)C222002-11-14FINYes185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm902,500$902,500$0$0$No---------------------------Link
Adam WilsbyCheckers (FLO)D252000-07-08SWENo183 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm842,500$842,500$0$0$No---------------------------Link
Brandon ScanlinCheckers (FLO)D261999-06-02ONTNo213 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm966,000$966,000$0$0$No---------------------------Link
Brett HarrisonCheckers (FLO)C222003-07-07ONTYes188 Lbs6 ft2NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Daylan KueflerCheckers (FLO)LW232002-02-10ABYes192 Lbs6 ft1NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Dylan GarandCheckers (FLO)G232002-07-06BCYes173 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm902,500$902,500$0$0$No---------------------------Link
Graeme ClarkeCheckers (FLO)C/RW242001-04-24USAYes174 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,260,000$1,260,000$0$0$No1,260,000$--------1,260,000$--------No--------Link
Jesper WallstedtCheckers (FLO)G222002-11-14SWEYes213 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,350,000$1,350,000$0$0$No---------------------------Link
John BeecherCheckers (FLO)C242001-05-04USAYes209 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$925,000$0$0$No---------------------------Link
Josiah SlavinCheckers (FLO)C261998-12-31USANo161 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,065,000$1,065,000$0$0$No1,065,000$--------1,065,000$--------No--------Link
Lane PedersonCheckers (FLO)C281997-08-04SKWNo190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,172,000$1,172,000$0$0$No---------------------------Link / NHL Link
Lian BichselCheckers (FLO)D212004-05-18SWIYes216 Lbs6 ft6NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Luke HenmanCheckers (FLO)C252000-04-29NSNo168 Lbs6 ft0NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Link
Martin PospisilCheckers (FLO)RW251999-11-19SVKNo180 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm941,000$941,000$0$0$No---------------------------Link
Milan LucicCheckers (FLO)RW371988-06-07BCNo231 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,348,000$1,348,000$0$0$No---------------------------Link / NHL Link
Olen ZellwegerCheckers (FLO)D212003-09-10ABNo174 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm844,167$844,167$0$0$No844,167$--------844,167$--------No--------
Pontus HolmbergCheckers (FLO)C/LW261999-09-03SWENo174 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm827,500$827,500$0$0$No---------------------------Link
Samuel LabergeCheckers (FLO)C281997-04-10QUENo205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm974,000$974,000$0$0$No---------------------------Link
Shane WrightCheckers (FLO)C212004-01-05ONTYes198 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm918,333$918,333$0$0$No918,333$--------918,333$--------No--------
Topi NiemelaCheckers (FLO)D232002-03-25FINYes160 Lbs5 ft11NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Tyce ThompsonCheckers (FLO)RW261999-07-11ABNo178 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,007,000$1,007,000$0$0$No1,007,000$--------1,007,000$--------No--------Link
Vasily PodkolzinCheckers (FLO)LW/RW242001-06-24RUSNo189 Lbs6 ft1NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Link
Zack OstapchukCheckers (FLO)C222003-05-29ABYes202 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm825,000$825,000$0$0$No825,000$--------825,000$--------No--------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2324.52189 Lbs6 ft11.00742,196$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Pontus HolmbergMilan LucicLane Pederson40122
2John BeecherMartin Pospisil30122
3John BeecherLane Pederson20122
4Aatu RatyLane PedersonGraeme Clarke10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Olen ZellwegerBrandon Scanlin40122
2Adam Wilsby30122
3Olen Zellweger20122
4Adam WilsbyBrandon Scanlin10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1John BeecherMilan LucicGraeme Clarke60122
2Aatu RatyLane Pederson40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Olen ZellwegerBrandon Scanlin60122
2Adam Wilsby40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Aatu RatyLane Pederson60122
2John BeecherGraeme Clarke40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Brandon ScanlinOlen Zellweger60122
2Adam Wilsby40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1John Beecher60122Brandon ScanlinAdam Wilsby60122
2Lane Pederson40122Olen Zellweger40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1John BeecherLane Pederson60122
2Graeme ClarkeAatu Raty40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Adam WilsbyBrandon Scanlin60122
2Olen Zellweger40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Lane PedersonMilan LucicJohn BeecherAdam WilsbyBrandon Scanlin
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Lane PedersonMilan LucicJohn BeecherAdam WilsbyBrandon Scanlin
Extra Forwards
Normal PowerPlayPenalty Kill
John Beecher, Graeme Clarke, Aatu RatyLane Pederson, John BeecherJohn Beecher
Extra Defensemen
Normal PowerPlayPenalty Kill
Brandon Scanlin, Olen Zellweger, Adam WilsbyBrandon ScanlinAdam Wilsby, Brandon Scanlin
Penalty Shots
Milan Lucic, Graeme Clarke, Aatu Raty, John Beecher, Lane Pederson
Goalie
#1 : Jesper Wallstedt, #2 : Dylan Garand


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000%000%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000%000%000%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


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



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance0%0%
Attendance PCT0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
46 0 - 0%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 1,707,050$ 1,647,250$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$




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

Checkers Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

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

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

Checkers Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA