Checkers

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Félix Fortier | Morale : 75 | Team Overall : 61

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10textAny text entered in the filter will match text found within the column
# Player Name #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Joona Luoto (R)0X100.00743994628586696455586263676668075640
2Ridly Greig (R)0X100.00683972677182706570676365646163075640
3Justin Dowling0XXX100.00573693656887776382676061657375075640
4Thomas Bordeleau (R)0X100.00563691676589756966686261656163075640
5Joel Teasdale (R)0X100.00673887627790796359616259606564075630
6Bobby Brink (R)0X100.00673591646583696567685856616362075620
7Sakari Manninen0X100.00623785646281696369666056627173075620
8Cal O'Reilly0X100.00633694587271855765595657607782075620
9Michal Teply (R)0XX100.00723895588179815761595860566264075620
10Ryan Suzuki (R)0X100.00613786617074756067615957606264075610
11Kale Howarth0X100.00814278539073675253545258536668075590
12Tyler Wotherspoon0X100.00733988568270825530595358467072075610
13Brady Lyle (R)0X100.00694083597877815830625557486466075610
14Yanni Kaldis0X100.00613883597072795830635557486870075610
15Logan Day0X100.00703988567972805530595157456971075600
16Bobby Nardella (R)0X100.00563883586575795730615554476769075600
17Chase Priskie (R)0X100.00613687627183815830555657486769075600
18Anthony Bitetto0X100.00704368557969835430555456467375075600
19Dillon Simpson0X100.00723893528163785130525355457075075590
Scratches
1Joseph Cramarossa0XX100.00714662657576736365626460657173075630
2Colt Conrad (R)0X100.00573883566668755562565753566668075580
3Jimmy Lambert0X100.00613979547069655357555256576668075570
TEAM AVERAGE100.0066398560747776595260575856676907561
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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 CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Yaroslav Askarov (R)100.0075697079747375747375746165075640
2Oscar Dansk (R)100.0070606184696870696870697183075630
Scratches
1Gage Alexander (R)100.0068606193676668676668676165075610
TEAM AVERAGE100.007163648570697170697170647107563
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Alex Burrows66616561635884CAN4212,000,000$


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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 Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Anthony BitettoD337/15/1990No210 Lbs6 ft1NoNoNo1UFAPro & Farm750,000$0$0$NoLink / NHL Link
Bobby BrinkRW227/8/2001Yes166 Lbs5 ft8NoNoNo2ELCPro & Farm950,000$0$0$NoLink / NHL Link
Bobby NardellaD274/22/1996Yes180 Lbs5 ft9NoNoNo1RFAPro & Farm750,000$0$0$NoLink / NHL Link
Brady LyleD246/6/1999Yes203 Lbs6 ft1NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Cal O'ReillyC379/30/1986No188 Lbs6 ft0NoNoNo1UFAPro & Farm750,000$0$0$NoLink / NHL Link
Chase PriskieD273/19/1996Yes185 Lbs6 ft0NoNoNo1RFAPro & Farm750,000$0$0$NoLink / NHL Link
Colt ConradC264/27/1997Yes179 Lbs5 ft10NoNoNo1RFAPro & Farm550,000$0$0$NoLink / NHL Link
Dillon SimpsonD302/10/1993No204 Lbs6 ft2NoNoNo1UFAPro & Farm550,000$0$0$NoLink / NHL Link
Gage AlexanderG217/2/2002Yes205 Lbs6 ft6NoNoNo3ELCPro & Farm950,000$0$0$NoNHL Link
Jimmy LambertRW262/9/1997No176 Lbs6 ft0NoNoNo1RFAPro & Farm550,000$0$0$NoLink / NHL Link
Joel TeasdaleLW243/11/1999Yes212 Lbs6 ft0NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Joona LuotoLW269/26/1997Yes210 Lbs6 ft3NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Joseph CramarossaC/LW3110/26/1992No190 Lbs6 ft1NoNoNo1UFAPro & Farm700,000$0$0$NoLink / NHL Link
Justin DowlingC/LW/RW3310/1/1990No180 Lbs5 ft10NoNoNo1UFAPro & Farm700,000$0$0$NoLink / NHL Link
Kale HowarthLW266/10/1997No201 Lbs6 ft5NoNoNo1RFAPro & Farm550,000$0$0$NoLink / NHL Link
Logan DayD299/19/1994No209 Lbs6 ft1NoNoNo1UFAPro & Farm750,000$0$0$NoLink / NHL Link
Michal TeplyLW/RW225/27/2001Yes187 Lbs6 ft3NoNoNo1ELCPro & Farm925,000$0$0$NoLink / NHL Link
Oscar DanskG292/28/1994Yes204 Lbs6 ft3NoNoNo3UFAPro & Farm950,000$0$0$NoLink / NHL Link
Ridly GreigC218/8/2002Yes183 Lbs6 ft0NoNoNo3ELCPro & Farm950,000$0$0$NoNHL Link
Ryan SuzukiC225/28/2001Yes176 Lbs6 ft0NoNoNo1ELCPro & Farm925,000$0$0$NoLink / NHL Link
Sakari ManninenC312/10/1992No169 Lbs5 ft8NoNoNo1UFAPro & Farm750,000$0$0$NoLink / NHL Link
Thomas BordeleauC211/3/2002Yes175 Lbs5 ft10NoNoNo3ELCPro & Farm950,000$0$0$NoNHL Link
Tyler WotherspoonD303/12/1993No207 Lbs6 ft2NoNoNo1UFAPro & Farm700,000$0$0$NoLink / NHL Link
Yanni KaldisD289/30/1995No187 Lbs5 ft11NoNoNo1UFAPro & Farm750,000$0$0$NoLink / NHL Link
Yaroslav AskarovG216/16/2002Yes178 Lbs6 ft3NoNoNo3ELCPro & Farm950,000$0$0$NoNHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2526.68191 Lbs6 ft11.52796,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Cal O'ReillySakari ManninenRyan Suzuki40122
2Joona LuotoRidly GreigMichal Teply30122
3Kale HowarthThomas BordeleauBobby Brink20122
4Joel TeasdaleCal O'ReillyRidly Greig10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Brady LyleYanni Kaldis40122
2Tyler WotherspoonBobby Nardella30122
3Logan DayJoel Teasdale20122
4Tyler WotherspoonBrady Lyle10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ryan SuzukiCal O'ReillyJoel Teasdale60122
2Joona LuotoRidly GreigMichal Teply40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Brady LyleLogan Day60122
2Tyler WotherspoonBobby Nardella40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Joona LuotoCal O'Reilly60122
2Ridly GreigJoel Teasdale40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Logan DayBrady Lyle60122
2Tyler WotherspoonBobby Nardella40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Joona Luoto60122Logan DayBrady Lyle60122
2Ridly Greig40122Tyler WotherspoonBobby Nardella40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Joona LuotoMichal Teply60122
2Ridly GreigJoel Teasdale40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Brady LyleLogan Day60122
2Tyler WotherspoonBobby Nardella40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Ridly GreigJoel TeasdaleJoona LuotoBrady LyleTyler Wotherspoon
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Ridly GreigJoel TeasdaleJoona LuotoBrady LyleTyler Wotherspoon
Extra Forwards
Normal PowerPlayPenalty Kill
Ridly Greig, Ryan Suzuki, Joona LuotoRidly Greig, Ryan SuzukiRidly Greig
Extra Defensemen
Normal PowerPlayPenalty Kill
Logan Day, Tyler Wotherspoon, Bobby NardellaLogan DayTyler Wotherspoon, Bobby Nardella
Penalty Shots
Ryan Suzuki, Joona Luoto, Ridly Greig, Michal Teply, Joel Teasdale
Goalie
#1 : Yaroslav Askarov, #2 : Oscar Dansk
Custom OT Lines Forwards
Sakari Manninen, Ryan Suzuki, Ridly Greig, Thomas Bordeleau, Bobby Brink, Joona Luoto, Joona Luoto, Kale Howarth, Joel Teasdale, Michal Teply, Cal O'Reilly
Custom OT Lines Defensemen
Brady Lyle, Yanni Kaldis, Tyler Wotherspoon, Bobby Nardella, Logan Day


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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

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
000.00%000.00%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 %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


Last Played Games
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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
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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
Arena Capacity20001000
Ticket Price3115
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
41 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,990,000$ 1,750,000$ 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$ 1 0$ 0$




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
Regular Season
23823437026122862806412017011111541342041142001501132146-1482286506792231119280430079511017102032312191946318932465923.98%1963980.10%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
20228238310721336034317412112040132031772641171903200157166-99736066310231012212710310318810411048106448303587859419992807727.50%2647073.48%01596308651.72%1477290550.84%792147453.73%2000141819335801023513
20238286501620243496-2534143401110132245-1134143100510111251-14028243457700209682624308296011071001204306129447921092183415.60%2196172.15%11157296739.00%1337350638.13%545151036.09%152710322437602985431
Total Regular Season2468013301014458891119-230123456306234489556-671233570041211400563-16320788916262515533293012451892772952317230851001046230911536600174417022.85%67917074.96%14327911747.46%4344955145.48%1984429946.15%552238716318175430211454
Playoff
20221587000006365-27520000031265835000003239-716631131760028249255119018715816593171117344531018.87%541670.37%029356352.04%30855355.70%13426949.81%35924737311119496
Total Playoff1587000006365-27520000031265835000003239-716631131760028249255119018715816593171117344531018.87%541670.37%029356352.04%30855355.70%13426949.81%35924737311119496