IceHogs

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Pierre-Olivier St-Yves | Morale : 75 | Team Overall : 60

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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 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
1Matvei MichkovX100.006136777565869078577775647962658775690
2Marat KhusnutdinovX100.006534937271828967756463736664657475660
3Noah OstlundXX100.005836926867848269706667637162648475640
4Nick AbruzzeseX100.006036956469798463706659586167695075630
5Julien GauthierX100.008141866292796563586059646269716675630
6Joakim KemellX100.006639776269828563576159626063648375620
7Derek StepanX100.004040404040404040404040404040631175440
8Ty EmbersonX100.007443926873868863307055804966676275650
9Simon BenoitX100.008359796688878962306752824870683675650
10Riley StillmanX100.007564625982727758305553574668704975590
11Sami NikuX100.004040404040404040404040404040401175420
12Otto LeskinenX100.004040404040404040404040404040401175420
Scratches
1Liam FoudyXX100.006437916575878563615961626466687975630
2Ryan SuzukiX100.006738876376788662706456616365677775620
3Rasmus KupariXX100.006126836071656655715152595356685075570
TEAM AVERAGE100.00624176606872745953595560566063557559
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 SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Olivier Rodrigue100.00748177707372747372747366756475640
Scratches
1Jesper Wallstedt100.00828379868180828180828164718075680
2Trent Miner100.00778682747675777675777665735775650
3Jaxson Stauber100.00758379787473757473757467775375640
TEAM AVERAGE100.0077837977767577767577766674647565
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Sylvain Lefebvre71697060878160CAN581115,000$


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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
Derek StepanC351990-06-18No196 Lbs5 ft11NoNoNo2UFAPro & Farm750,000$0$0$NoLink / NHL Link
Jaxson StauberG261999-04-27No174 Lbs6 ft3NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Jesper WallstedtG222002-11-14No214 Lbs6 ft3NoNoNo1ELCPro & Farm925,000$0$0$NoLink / NHL Link
Joakim KemellRW212004-04-27No182 Lbs5 ft11NoNoNo1ELCPro & Farm886,666$0$0$NoLink / NHL Link
Julien GauthierRW271997-10-15No225 Lbs6 ft4NoNoNo4RFAPro & Farm800,000$0$0$NoLink / NHL Link
Liam FoudyC/RW252000-02-04No186 Lbs6 ft1NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Marat KhusnutdinovC232002-07-17No184 Lbs5 ft11NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Matvei MichkovRW202004-12-09No172 Lbs5 ft10NoNoNo2ELCPro & Farm950,000$0$0$NoLink / NHL Link
Nick AbruzzeseC261999-06-04No183 Lbs5 ft11NoNoNo1RFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Noah OstlundC/LW212004-03-11No180 Lbs5 ft11NoNoNo1ELCPro & Farm886,666$0$0$NoLink / NHL Link
Olivier RodrigueG252000-07-06No158 Lbs6 ft1NoNoNo4RFAPro & Farm775,000$0$0$NoLink / NHL Link
Otto LeskinenD281997-02-06No187 Lbs5 ft11NoNoNo1UFAPro & Farm700,000$0$0$NoLink / NHL Link
Rasmus KupariC/RW252000-03-15No201 Lbs6 ft2NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Riley StillmanD271998-03-09No207 Lbs6 ft2NoNoNo2RFAPro & Farm1,350,000$0$0$NoLink / NHL Link
Ryan SuzukiC242001-05-28No196 Lbs6 ft1NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Sami NikuD281996-10-10No176 Lbs6 ft1NoNoNo1UFAPro & Farm750,000$0$0$NoLink / NHL Link
Simon BenoitD261998-09-19No210 Lbs6 ft4NoNoNo4RFAPro & Farm1,350,000$0$0$NoLink / NHL Link
Trent MinerG242001-02-05No185 Lbs6 ft1NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Ty EmbersonD252000-05-23No193 Lbs6 ft0NoNoNo4RFAPro & Farm1,300,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1925.16190 Lbs6 ft11.58702,544$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
230122
320122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :
Custom OT Lines Forwards
, , , , , , , , , ,
Custom OT Lines Defensemen
, , , ,


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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
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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
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
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
39 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,334,834$ 1,334,834$ 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$




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
201778263903712433513-8039132103200206247-4139131800512227266-3969433805123810109184136518844977126563020527231159144432310632.82%39618054.55%29519112746.05%577118648.65%868184846.97%1782110916437191294618
2019822742031000267320-5341122402300130159-2941151801700137161-2470267490757219984813338411191105113921317194866321332645018.94%3067575.49%61505335544.86%1422310545.80%588134843.62%1882132520525951007483
20208231330104132992909411714062111571401741141904202142150-89129954384211135807312272789893684461297583456119012375724.05%2444880.33%71585291554.37%1545299051.67%712136252.28%1963135819485951057530
202182363605311302327-2541191901011156169-1341171704300146158-1288302557859200106105853077010479961011337892052120072435723.46%2224579.73%41732308656.12%1829329755.47%774141454.74%2045144518705621025526
2022823036074413203119411816014201711531841122006021149158-987320580900320103981083183099610611080328489850921202656725.28%2115175.83%41693311054.44%1623310352.30%752139154.06%2142155318185451008523
202382423301501417388294123140130022219824411919002011951905924177701187220179130107418801459134613683996110657023312886622.92%2505777.20%11777357249.75%1751353149.59%739152148.59%199114491977559969480
202482373902202364370-6412216002011881701841152302001176200-2482364691105540014812094388901271134712603726103056724663086119.81%2465876.42%11674342548.88%1695325552.07%734147149.90%199714591991544943468
20258236330470240139011411916023012141892541171702401187201-1489401759116041017712397410701395138512953649104657823552736523.81%2627272.52%41818349252.06%1590329648.24%756151250.00%197214502022555951462
Total Regular Season6522652910354271228032909-10632614314001619441444142519326122151019233813591484-1256682803519579981973431061866511264392514892187746126262317505512816757220152924.03%213758672.58%56123032408251.09%120322376350.63%59231186749.91%157791115215324467682584094
Playoff
2021624000001520-53120000079-231200000811-341526410007432040605474198514312323313.04%19289.47%011423748.10%12021855.05%509652.08%149100155518641
2023624000003035-5312000001417-3312000001618-243053831001412432309896129271836319025520.00%23673.91%115829254.11%12724751.42%6411555.65%147106140397136
Total Playoff1248000004555-10624000002126-5624000002429-58457912410021167527015815020346913410631348816.67%42880.95%127252951.42%24746553.12%11421154.03%2972062959115878