Wild

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Alexandre Huet | Morale : 75 | Team Overall : 60

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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
1Mitchell ChaffeeX100.007641807177898568706667646968703675660
2Nils AmanX100.007037916776798165727057645866684775640
3Mikael PyyhtiaX100.006136946670818663676260706166655775630
4Cross HanasX100.006339836172788158626059576364666875600
5Ty TullioX100.006338755863767757615956535664665775580
6Jacob PerreaultX100.006238775571677054595756585564667875580
7Ville PetmanX100.004040404040404040404040404040401175420
8Emil LillebergX100.007555666886878463307357695265675875650
9Adam WilsbyX100.006640856775857763307155684966685975640
10Brayden PachalX100.007951686681848263306956705167693775640
11Pierre-Olivier JosephX100.006638786977847466306753615068676975630
12Isaak PhillipsX100.007341736184768658305565595265675475620
13William VilleneuveX100.006540736277848258306353614764665775610
14Louie BelpedioX100.006342696172718558306255574870725175600
15Ole Bjorgvik-HolmX100.006940755578647454305352564564665475580
Scratches
1Braeden Bowman (R)X100.006438946678828765636864626563664275650
2Tim Washe (R)X100.007641836686838862836063746166654275650
3Ilya UsauX100.004040404040404040404040404040401175420
4Radim ZohornaX100.004040404040404040404040404040401175420
5Ryan Shea (R)X100.006235916777898263307562845169714775670
6Parker Wotherspoon (R)X100.007654856675908563307555804969704975660
7Charle-Edouard D'Astous (R)X100.007342636783877365307062635268693675640
8Zach UensX100.006440775773646354305653554665675975580
TEAM AVERAGE100.00654174617275755844615661526364477560
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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
1Magnus Hellberg100.00768478967574767574767574881175650
Scratches
1Devin Cooley (R)100.00828681888180828180828169835175680
TEAM AVERAGE100.0079858092787779787779787286317567
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Derek King67626665898458CAN5912,645,000$


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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
Adam WilsbyD262000-08-07No188 Lbs6 ft1NoNoNo2RFAPro & Farm775,000$0$0$NoLink / NHL Link
Braeden BowmanRW232003-06-26Yes205 Lbs6 ft1NoNoNo2RFAPro & Farm837,500$0$0$NoLink / NHL Link
Brayden PachalD271999-08-23No202 Lbs6 ft2NoNoNo1RFAPro & Farm1,187,000$0$0$NoLink / NHL Link
Charle-Edouard D'AstousD281998-04-21Yes211 Lbs6 ft2NoNoNo2UFAPro & Farm875,000$0$0$NoLink / NHL Link
Cross HanasLW242002-01-05No171 Lbs6 ft1NoNoNo2RFAPro & Farm859,167$0$0$NoLink / NHL Link
Devin CooleyG291997-05-25Yes192 Lbs6 ft5NoNoNo2UFAPro & Farm1,350,000$0$0$NoLink / NHL Link
Emil LillebergD252001-02-02No215 Lbs6 ft3NoNoNo1RFAPro & Farm870,000$0$0$NoLink / NHL Link
Ilya UsauC252001-08-03No183 Lbs6 ft1NoNoNo1RFAPro & Farm897,500$0$0$NoLink / NHL Link
Isaak PhillipsD242001-09-28No205 Lbs6 ft3NoNoNo2RFAPro & Farm812,500$0$0$NoLink / NHL Link
Jacob PerreaultRW242002-04-15No192 Lbs5 ft11NoNoNo1RFAPro & Farm863,334$0$0$NoLink / NHL Link
Louie BelpedioD301996-05-14No197 Lbs5 ft11NoNoNo2UFAPro & Farm775,000$0$0$NoLink / NHL Link
Magnus HellbergG351991-04-04No220 Lbs6 ft6NoNoNo1UFAPro & Farm800,000$0$0$NoLink / NHL Link
Mikael PyyhtiaLW242001-12-17No178 Lbs6 ft0NoNoNo2RFAPro & Farm775,000$0$0$NoLink / NHL Link
Mitchell ChaffeeRW281998-01-26No197 Lbs6 ft1NoNoNo2UFAPro & Farm800,000$0$0$NoLink / NHL Link
Nils AmanC262000-02-07No179 Lbs6 ft2NoNoNo2RFAPro & Farm825,000$0$0$NoLink / NHL Link
Ole Bjorgvik-HolmD242002-05-23No190 Lbs6 ft2NoNoNo2RFAPro & Farm825,000$0$0$NoLink / NHL Link
Parker WotherspoonD291997-08-24Yes190 Lbs6 ft1NoNoNo2UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Pierre-Olivier JosephD271999-07-01No185 Lbs6 ft2NoNoNo1RFAPro & Farm825,000$0$0$NoLink / NHL Link
Radim ZohornaLW301996-04-29No220 Lbs6 ft6NoNoNo1UFAPro & Farm775,000$0$0$NoLink / NHL Link
Ryan SheaD291997-02-11Yes200 Lbs6 ft1NoNoNo2UFAPro & Farm900,000$0$0$NoLink / NHL Link
Tim WasheC252001-08-25Yes212 Lbs6 ft3NoNoNo2RFAPro & Farm812,500$0$0$NoLink / NHL Link
Ty TullioRW242002-04-05No165 Lbs5 ft10NoNoNo2RFAPro & Farm823,333$0$0$NoLink / NHL Link
Ville PetmanC262000-01-18No180 Lbs5 ft10NoNoNo2RFAPro & Farm883,750$0$0$NoLink / NHL Link
William VilleneuveD242002-03-20No183 Lbs6 ft2NoNoNo2RFAPro & Farm775,000$0$0$NoLink / NHL Link
Zach UensD252001-05-13No180 Lbs6 ft1NoNoNo1RFAPro & Farm859,167$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2526.44194 Lbs6 ft21.68871,230$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mikael PyyhtiaNils Aman40122
230122
3Mitchell Chaffee20122
4Mikael PyyhtiaNils Aman10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Emil Lilleberg40122
2Isaak PhillipsLouie Belpedio30122
3Pierre-Olivier JosephWilliam Villeneuve20122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mikael PyyhtiaNils Aman60122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Emil Lilleberg60122
2Isaak PhillipsLouie Belpedio40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Nils AmanMikael Pyyhtia60122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Emil Lilleberg60122
2Isaak PhillipsLouie Belpedio40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Nils Aman60122Emil Lilleberg60122
240122Isaak PhillipsLouie Belpedio40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Nils AmanMikael Pyyhtia60122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Emil Lilleberg60122
2Isaak PhillipsLouie Belpedio40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Mikael PyyhtiaNils AmanEmil Lilleberg
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Mikael PyyhtiaNils AmanEmil Lilleberg
Extra Forwards
Normal PowerPlayPenalty Kill
, , Mikael Pyyhtia,
Extra Defensemen
Normal PowerPlayPenalty Kill
William Villeneuve, , William VilleneuveWilliam Villeneuve,
Penalty Shots
, , Mitchell Chaffee, Nils Aman,
Goalie
#1 : Magnus Hellberg, #2 :
Custom OT Lines Forwards
, , Mitchell Chaffee, Nils Aman, , , , Mikael Pyyhtia, , , Jacob Perreault
Custom OT Lines Defensemen
, Emil Lilleberg, Isaak Phillips, Louie Belpedio, Pierre-Olivier Joseph


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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

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
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$ 2,178,075$ 2,178,075$ 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
201778521704410564424140392670411028018595392610003002842394511856496515291011822521653049908103110991322477091058193735520357.18%31111961.74%14859165152.03%669132450.53%975183853.05%1740103916696501282660
20198238320614123521916412413030011291121741141903140106107-1982354286633484875412267593288782652265576962318962655721.51%2675778.65%21491289551.50%1516284753.25%670125853.26%2074145818405841047531
2020824025077213502866441211303211173139344119120451017714730106350640990201479410011333910981095110458312794566621902535622.13%2756177.82%51581322149.08%1468310047.35%692140549.25%1973139519575871036513
2021822049031000335421-864192800400164206-4241112103600171215-445633563597030014210189377601248127412283949114769424442605721.92%3087974.35%11544347744.41%1541354043.53%658150943.61%178412452181590977461
2022822343041200374438-6441132002600199219-2041102302600175219-4466374711108520016410799417401390131314434222116965126922415221.58%2968072.97%41608356145.16%1614368943.75%698158444.07%176812382192590991464
202382314601301370432-6241162101201188215-2741152500100182217-3568370703107320017213067416601432137013544388122667527422525823.02%2906976.21%31656360845.90%1677373144.95%658152143.26%178412512169578974454
202482304304203363396-3341181802102185183241122502101178213-35733637011064410146106107388401313120913323984108159026862565621.88%2667372.56%31498331145.24%1652349947.21%677146446.24%186913442106572968462
202582522103411331240914130801101172115574122130231015912534117331608939220122107983018096510231012286077355921872657427.92%2494781.12%21690299556.43%1599290655.02%735132455.51%222516361731529987522
Total Regular Season65228627603243872922285666326157128016172614901374116326129148016266114321482-507022922539183131973491152921488280812938936192186492274327819551618774214761328.55%226258574.14%34119272471948.25%117362463647.64%57631190348.42%152191060815849468382654072
Playoff
2017404000001427-13202000001118-72020000039-6014253910455014552434731546845898337.50%20955.00%1458155.56%5910357.28%438749.43%885486346633
20199540000026224422000001091532000001613310264975018981331981041281350904820429413.79%23386.96%018533455.39%15635044.57%6713948.20%2141522156411053
2025169700000585179540000033303743000002521418581071650002318176370206202216621198166473481429.17%591083.05%234361256.05%32859854.85%14825558.04%448334347102189100
Total Playoff2914150000098100-21578000005457-3147700000444312898181279111237311811131503533772201125356259766852124.71%1022278.43%3573102755.79%543105151.67%25848153.64%751541649201367187