Wild

GP: 6 | W: 4 | L: 2 | OTL: 0 | P: 8
GF: 24 | GA: 16 | PP%: 26.09% | PK%: 94.44%
GM : Charles Levesque / Hugo Lussier-Fortin | Morale : 75 | Team Overall : 62

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# 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
1Nic Petan0XXX100.00553879696488826872676661656870075650
2Miles Wood (R)44X100.00704271737980746757656658677169075650
3Joel L'Esperance0XX100.00744182648395856369626461646870075650
4Kole Lind (R)0X100.00634063667585866764656661646567075640
5Andrew Poturalski (C)0XXX100.00573686676990816673685859626971075640
6Austin Wagner0XX100.00844161697684766359626559646667075640
7Aatu Raty (R)0X100.00683891657880726377596064666163075630
8Marco Rossi (R)23X100.00573875706888856875665960666364075630
9Adam Klapka0X100.00905766599981705660575863556365075620
10Bokondji Imama (R)0X100.00788550618269815957586061566769075620
11Lauri Pajuniemi0X100.00653888627484826063596158626466075620
12Glenn Gawdin (R)0XX100.00664071597688835767585965606668075610
13Pierrick Dube0X100.00553878646595676366616457636264075610
14Riley Damiani (R)0X100.00573681646776826375596058616465075610
15Darren Raddysh (R)0X100.00684080667786856530675962516769075640
16Lucas Carlsson (R)0X100.00633882667289816530686261526668075640
17Michael Kesselring (R)0X100.00734075628492836130685867496365075640
18Cale Fleury (R)0X100.00793684647883745930565060476465075610
19Mattias Norlinder (R)0X100.00613791657577745730635256476365075610
Scratches
1Chase Wouters (R)0XX100.00624072577169845664585557566368075590
2Raivis Ansons0X100.00673980537669675253545455536163075570
3Zachary Hayes (R)0X100.00854072568874785530525357466466075600
4Declan Carlile0X100.00703983567964745430575556476365075590
5Otto Leskinen (R)0X100.00614073567073635530595354466668075580
6Peetro Seppala0X100.00704077547963725330555156456365075580
TEAM AVERAGE100.0068417663768178615361595957656707562
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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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Nico Daws (R)100.0076777487757476757476756369075660
2Felix Sandstrom (R)100.0074797779737274737274736675075650
Scratches
1Oskari Salminen100.0071676890706971706971706471075630
2Vadim Zherenko100.0071626376706971706971706267075620
TEAM AVERAGE100.007371718372717372717372647107564
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jeff Halpern69717660706579USA473700,000$


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
1Nic PetanWild (MIN)C/LW/RW6761362011528131725.00%315325.641346220000180054.29%17500011.6900000121
2Miles WoodWild (MIN)LW64594801673692011.11%013121.9631412210000140045.45%1100001.3700000100
3Darren RaddyshWild (MIN)D516764011781712.50%712725.59033518000010000.00%000001.0900000110
4Lucas CarlssonWild (MIN)D60666406884120.00%415325.50011522000015000.00%000000.7800000001
5Kole LindWild (MIN)RW6415-3009102172119.05%211118.61011115000073040.00%1000000.9000000000
6Michael KesselringWild (MIN)D5145-3009884612.50%910821.62011315000011010.00%000000.9300000010
7Joel L'EsperanceWild (MIN)C/RW62244201161141118.18%012520.971122220000110059.46%3700000.6400000000
8Andrew PoturalskiWild (MIN)C/LW/RW5044-400013165130.00%09819.68000016000030050.47%10700000.8100000000
9Austin WagnerWild (MIN)LW/RW6134-240268214184.76%110818.09101516000111042.86%700000.7400000000
10Bokondji ImamaWild (MIN)LW6033075197131110.00%17612.7700000000000050.00%400000.7800100000
11Lauri PajuniemiWild (MIN)RW630310037141421.43%06611.0800000000000050.00%400000.9000000100
12Aatu RatyWild (MIN)C61121003919385.26%08414.1200044000000055.75%11300000.4700000000
13Mattias NorlinderWild (MIN)D6022100134030.00%58313.830111300003000.00%000000.4800000000
14Cale FleuryWild (MIN)D6011-320548360.00%613121.96000719000015000.00%000000.1500000000
15Zachary HayesWild (MIN)D60111801241310.00%58914.970000300006000.00%000000.2200000000
16Marco RossiWild (MIN)C6011200189420.00%0589.7100036000050053.62%6900000.3400000000
17Adam KlapkaWild (MIN)RW6000100210020.00%0244.010000000000000.00%100000.0000000000
18Otto LeskinenWild (MIN)D1000-100200000.00%01414.880000000000000.00%000000.0000000000
19Riley DamianiWild (MIN)C6000-100010000.00%0111.8300000000000061.54%1300000.0000000000
20Declan CarlileWild (MIN)D1000-120000000.00%11414.870000000000000.00%000000.0000000000
Team Total or Average107244670154351371262256616210.67%44177416.58612185420900011274153.54%55100010.7900100442
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
1Nico DawsWild (MIN)64110.9132.6633800151720000.000060001
2Felix SandstromWild (MIN)10000.8892.612300190000.000006000
Team Total or Average74110.9122.6636100161810000.000066001


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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 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
Aatu RatyC2111/14/2002Yes190 Lbs6 ft2NoNoNo3ELCPro & Farm950,000$0$0$NoLink / NHL Link
Adam KlapkaRW239/14/2000No235 Lbs6 ft8NoNoNo3ELCPro & Farm950,000$0$0$NoLink / NHL Link
Andrew PoturalskiC/LW/RW291/14/1994No183 Lbs5 ft10NoNoNo1UFAPro & Farm925,000$0$0$NoLink / NHL Link
Austin WagnerLW/RW266/23/1997No195 Lbs6 ft1NoNoNo2RFAPro & Farm995,000$0$0$NoLink / NHL Link
Bokondji ImamaLW278/3/1996Yes221 Lbs6 ft1NoNoNo1RFAPro & Farm995,000$0$0$NoLink / NHL Link
Cale FleuryD2511/19/1998Yes204 Lbs6 ft1NoNoNo2RFAPro & Farm750,000$0$0$NoLink / NHL Link
Chase WoutersC/LW232/8/2000Yes182 Lbs6 ft0NoNoNo2ELCPro & Farm950,000$0$0$NoLink / NHL Link
Darren RaddyshD272/28/1996Yes200 Lbs6 ft1NoNoNo3RFAPro & Farm975,000$0$0$NoLink / NHL Link
Declan CarlileD235/18/2000No192 Lbs6 ft2NoNoNo2ELCPro & Farm850,000$0$0$NoLink / NHL Link
Felix SandstromG261/12/1997Yes191 Lbs6 ft2NoNoNo2RFAPro & Farm995,000$0$0$NoLink / NHL Link
Glenn GawdinC/RW263/25/1997Yes191 Lbs6 ft1NoNoNo1RFAPro & Farm964,700$0$0$NoLink / NHL Link
Joel L'EsperanceC/RW288/18/1995No215 Lbs6 ft2NoNoNo3UFAPro & Farm850,000$0$0$NoLink / NHL Link
Kole LindRW2510/16/1998Yes178 Lbs6 ft1NoNoNo2RFAPro & Farm975,000$0$0$NoLink / NHL Link
Lauri PajuniemiRW249/12/1999No196 Lbs6 ft0NoNoNo2RFAPro & Farm995,000$0$0$NoLink / NHL Link
Lucas CarlssonD267/5/1997Yes189 Lbs6 ft0NoNoNo2RFAPro & Farm995,000$0$0$NoLink / NHL Link
Marco RossiC229/23/2001Yes182 Lbs5 ft9NoNoNo2ELCPro & Farm950,000$0$0$NoLink / NHL Link
Mattias NorlinderD234/12/2000Yes185 Lbs6 ft0NoNoNo2ELCPro & Farm950,000$0$0$NoLink / NHL Link
Michael KesselringD231/13/2000Yes190 Lbs6 ft4NoNoNo2ELCPro & Farm750,000$0$0$NoLink / NHL Link
Miles WoodLW289/13/1995Yes195 Lbs6 ft2NoNoNo3UFAPro & Farm950,000$0$0$NoLink / NHL Link
Nic PetanC/LW/RW283/22/1995No175 Lbs5 ft9NoNoNo2UFAPro & Farm995,000$0$0$NoLink / NHL Link
Nico DawsG2312/22/2000Yes205 Lbs6 ft4NoNoNo2ELCPro & Farm950,000$0$0$NoLink / NHL Link
Oskari SalminenG249/22/1999No220 Lbs6 ft4NoNoNo3RFAPro & Farm850,000$0$0$NoLink / NHL Link
Otto LeskinenD262/6/1997Yes187 Lbs5 ft11NoNoNo3RFAPro & Farm950,000$0$0$NoNHL Link
Peetro SeppalaD238/17/2000No192 Lbs6 ft2NoNoNo3ELCPro & Farm950,000$0$0$NoLink / NHL Link
Pierrick DubeRW221/7/2001No172 Lbs5 ft9NoNoNo3ELCPro & Farm975,000$0$0$NoLink / NHL Link
Raivis AnsonsLW211/29/2002No191 Lbs6 ft1NoNoNo3ELCPro & Farm975,000$0$0$NoLink / NHL Link
Riley DamianiC233/20/2000Yes170 Lbs5 ft10NoNoNo1ELCPro & Farm925,000$0$0$NoLink / NHL Link
Vadim ZherenkoG223/15/2001No176 Lbs6 ft2NoNoNo3ELCPro & Farm975,000$0$0$NoLink / NHL Link
Zachary HayesD244/24/1999Yes219 Lbs6 ft3NoNoNo2RFAPro & Farm995,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2924.52194 Lbs6 ft12.24939,817$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Miles WoodNic PetanJoel L'Esperance40122
2Austin WagnerAndrew PoturalskiKole Lind30122
3Bokondji ImamaAatu RatyLauri Pajuniemi20122
4Nic PetanMarco RossiAdam Klapka10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Lucas CarlssonDarren Raddysh40122
2Michael KesselringCale Fleury30122
3Mattias Norlinder20122
4Lucas CarlssonDarren Raddysh10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Miles WoodNic PetanJoel L'Esperance60122
2Austin WagnerAndrew PoturalskiKole Lind40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Lucas CarlssonDarren Raddysh60122
2Michael KesselringCale Fleury40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Nic PetanMiles Wood60122
2Joel L'EsperanceKole Lind40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Lucas CarlssonDarren Raddysh60122
2Michael KesselringCale Fleury40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Nic Petan60122Lucas CarlssonDarren Raddysh60122
2Miles Wood40122Michael KesselringCale Fleury40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Nic PetanMiles Wood60122
2Joel L'EsperanceKole Lind40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Lucas CarlssonDarren Raddysh60122
2Michael KesselringCale Fleury40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Miles WoodNic PetanJoel L'EsperanceLucas CarlssonDarren Raddysh
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Miles WoodNic PetanJoel L'EsperanceLucas CarlssonDarren Raddysh
Extra Forwards
Normal PowerPlayPenalty Kill
Riley Damiani, Aatu Raty, Marco RossiRiley Damiani, Aatu RatyMarco Rossi
Extra Defensemen
Normal PowerPlayPenalty Kill
Mattias Norlinder, , Michael KesselringMattias Norlinder, Michael Kesselring
Penalty Shots
Nic Petan, Miles Wood, Joel L'Esperance, Kole Lind, Austin Wagner
Goalie
#1 : Nico Daws, #2 : Felix Sandstrom
Custom OT Lines Forwards
Nic Petan, Miles Wood, Joel L'Esperance, Kole Lind, Austin Wagner, Andrew Poturalski, Andrew Poturalski, Aatu Raty, Marco Rossi, Bokondji Imama, Lauri Pajuniemi
Custom OT Lines Defensemen
Lucas Carlsson, Darren Raddysh, Michael Kesselring, Cale Fleury, Mattias Norlinder


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
68W3244670225181444313700
All Games
GPWLOTWOTL SOWSOLGFGA
64200002416
Home Games
GPWLOTWOTL SOWSOLGFGA
3210000116
Visitor Games
GPWLOTWOTL SOWSOLGFGA
32100001310
Last 10 Games
WLOTWOTL SOWSOL
410100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
23626.09%18194.44%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
867068110680
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
12623852.94%11120653.88%5810754.21%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
156110126437840


Last Played Games
Filter Tips
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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
1 - 2024-04-188Reign2Wild1LXBoxScore
3 - 2024-04-2016Reign1Wild5WBoxScore
5 - 2024-04-2224Wild2Reign5LBoxScore
7 - 2024-04-2432Wild6Reign2WBoxScore
9 - 2024-04-2640Reign3Wild5WBoxScore
11 - 2024-04-2848Wild5Reign3WBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price2515
Attendance6,0003,000
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
38 3000 - 100.00% 81,250$243,750$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,725,470$ 2,610,470$ 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
23823928056223072703741151604510141154-1341241201112166116501003075618680310791102831211075102298550271879646617412645721.59%2024776.73%11826320556.97%1536281354.60%703130054.08%2105150418315681038533
20228243270570033127061412312024001731304341201503300158140181033316089394411411696530969991012105629272879253419342616524.90%2264181.86%11688309254.59%1618293855.07%745137054.38%2029143218785831038524
202382392904442342308344122120212217314033411717023201691681100342609951111141219910325710551080107469299984662621602587027.13%2747472.99%11658318052.14%1599305952.27%740143551.57%2032144018985811036519
Total Regular Season246121840141764980848132123604008103248742463123614406732493424693039801778275858335328297239474312931143115148844524341626583578319224.52%70216276.92%35172947754.57%4753881053.95%2188410553.30%616643765608173331131577
Playoff
2022514000001117-62110000057-230300000610-421118291055101495150399203614613312216.67%21576.19%07316643.98%10721849.08%348042.50%11274139417032
202364200000241683210000011653210000013103824467000106802258670681181444313723626.09%18194.44%012623852.94%11120653.88%5810754.21%156110126437840
Total Playoff115600000353325320000016133624000001920-11035649910151190374137120107103841058927035822.86%39684.62%019940449.26%21842451.42%9218749.20%2691842658514973