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Wolves
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Eric Lamonde | Morale : 40 | Team Overall : 64
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Team Leaders

Team Stats
Team Info

General ManagerEric Lamonde
DivisionMax-Sillig
ConferenceLouis-Magnus
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team29
Farm Team15
Contract Limit44 / 250
Prospects0


Filter Tips
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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 SPAgeContractSalary
1Victor Olofsson (R)X100.006028817576777177686477617450465940690201650,000$
2Jake Evans (R)X100.006841747464667074747268566344455440670201500,000$
3Thomas Spelling (R)X100.006431797767677280606371587252493340670231500,000$
4Wade Allison (R)X100.005529776662636766615971476044445340610191500,000$
5Liam O'Brien (R)X100.007858747080548855666154425548514140600221500,000$
6Kieffer Bellows (R)X100.006024795174666661636171406741426540590181500,000$
7Jalen Chatfield (R)X100.008050716886745957396855724746466340690201500,000$
8Dylan Coghlan (R)X100.005429845860626756406550684642427040600181500,000$
Scratches
1Alexandre GrenierX100.007133767583837473717669747078713640730251975,000$
2Kyle RauX100.007121857370857873757773736969623640730242975,000$
3Lawson Crouse (R)X100.008444767577618579607276725759466840720193995,000$
4Sebastian Aho (R)X100.006233828266796680737377629156496640720193995,000$
5Antti Suomela (R)X100.007439707681657664687370586949495540670224800,000$
6Eric Robinson (R)X100.005930777268707068636276496854485040650212500,000$
7Hayden Hodgson (R)X100.007430937168686650366947844344465840650212500,000$
8Fredrik Olofsson (R)X100.007142616466557568626960565545444840620202500,000$
9Jesper Boqvist (R)X100.006035715175625871585778375743426340600192500,000$
10Sasha Chmelevski (R)X100.005324686149556359727263394840408039570182500,000$
11Maksim Sushko (R)X100.004723703758646362484772325940407740530182500,000$
12Parker Kelly (R)X100.005723674357505959565258315440405940510182500,000$
13Stelio Mattheos (R)X100.005633695148516055464747515640406640510182500,000$
14Joona Koppanen (R)X100.005932525263416449445848475241415840500181500,000$
15Anton Lindholm (R)X100.007330846970687371517160885758484840720213975,000$
16Jakub Zboril (R)X100.006841797269666869477263715645446440680194800,000$
17Corey Shueneman (R)X100.007147796857766668447456735646485534680222500,000$
18Samuel Girard (R)X100.005427797461586475408357664542426840650181500,000$
19Matthew Kiersted (R)X100.005236845865606652266236643642435740590192500,000$
TEAM AVERAGE100.00643476656765696656666358594846574064
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 SPAgeContractSalary
Scratches
1Ebbe Siönäs100.00537764636366707681736449464540680212800,000$
2Ukko-Pekka Luukkonen (R)100.00467455555965588275644440407640620182500,000$
TEAM AVERAGE100.0050766059616664797869544543614065
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 Rookie Weight Height No Trade Available For Trade Force Waivers Contract 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 10Link
Alexandre GrenierWolves (Veg)RW251991-01-01No200 Lbs6 ft5NoNoNo1Pro & Farm975,000$975,000$0$0$No
Anton LindholmWolves (Veg)D211995-01-01Yes191 Lbs5 ft11NoNoNo3Pro & Farm975,000$975,000$0$0$No1,100,000$2,000,000$Link
Antti SuomelaWolves (Veg)C221994-01-01Yes180 Lbs6 ft0NoNoNo4Pro & Farm800,000$800,000$0$0$No975,000$1,200,000$1,800,000$Link
Corey ShuenemanWolves (Veg)D221994-01-01Yes196 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Dylan CoghlanWolves (Veg)D181998-01-01Yes190 Lbs6 ft2NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Ebbe SiönäsWolves (Veg)G211995-01-01No185 Lbs5 ft11NoNoNo2Pro & Farm800,000$800,000$0$0$No975,000$Link
Eric RobinsonWolves (Veg)LW211995-01-01Yes197 Lbs6 ft2NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Fredrik OlofssonWolves (Veg)LW201996-01-01Yes204 Lbs6 ft2NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Hayden HodgsonWolves (Veg)LW211995-01-01Yes220 Lbs6 ft6NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Jake EvansWolves (Veg)C201996-01-01Yes188 Lbs6 ft0NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Jakub ZborilWolves (Veg)D191997-01-01Yes200 Lbs6 ft0NoNoNo4Pro & Farm800,000$800,000$0$0$No975,000$2,000,000$2,500,000$Link
Jalen ChatfieldWolves (Veg)D201996-01-01Yes187 Lbs6 ft1NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Jesper BoqvistWolves (Veg)C191997-01-01Yes180 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Joona KoppanenWolves (Veg)C181998-01-01Yes205 Lbs6 ft5NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Kieffer BellowsWolves (Veg)LW181998-01-01Yes194 Lbs6 ft1NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Kyle RauWolves (Veg)C241992-01-01No178 Lbs5 ft8NoNoNo2Pro & Farm975,000$975,000$0$0$No1,250,000$
Lawson CrouseWolves (Veg)LW191997-01-01Yes220 Lbs6 ft4NoNoNo3Pro & Farm995,000$995,000$0$0$No2,000,000$3,000,000$Link
Liam O'BrienWolves (Veg)C221994-01-01Yes214 Lbs6 ft1NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Maksim SushkoWolves (Veg)RW181998-01-01Yes206 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Matthew KierstedWolves (Veg)D191997-01-01Yes181 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Parker KellyWolves (Veg)LW181998-01-01Yes188 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Samuel GirardWolves (Veg)D181998-01-01Yes170 Lbs5 ft10NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Sasha ChmelevskiWolves (Veg)C181998-01-01Yes188 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Sebastian AhoWolves (Veg)C191997-01-01Yes176 Lbs6 ft0NoNoNo3Pro & Farm995,000$995,000$0$0$No2,000,000$3,000,000$Link
Stelio MattheosWolves (Veg)RW181998-01-01Yes200 Lbs6 ft1NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Thomas SpellingWolves (Veg)RW231993-01-01Yes176 Lbs6 ft1NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Ukko-Pekka LuukkonenWolves (Veg)G181998-01-01Yes217 Lbs6 ft5NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Victor OlofssonWolves (Veg)RW201996-01-01Yes181 Lbs5 ft11NoNoNo1Pro & Farm650,000$650,000$0$0$NoLink
Wade AllisonWolves (Veg)RW191997-01-01Yes205 Lbs6 ft2NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2919.93194 Lbs6 ft11.86619,483$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
2Victor Olofsson30122
3Jake EvansThomas Spelling20122
4Kieffer BellowsWade Allison10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
3Jalen Chatfield20122
4Dylan Coghlan10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
2Victor Olofsson40122
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
, Liam O'Brien, , Liam O'Brien
Extra Defensemen
Normal PowerPlayPenalty Kill
Jalen Chatfield, , Jalen Chatfield,
Penalty Shots
, , , , Victor Olofsson
Goalie
#1 : , #2 :


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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
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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%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
000.00%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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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
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
40 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,796,500$ 1,731,500$ 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$




Wolves 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

Wolves Goalies Stat Leaders (Regular Season)

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

Wolves 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

Wolves 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

Wolves Goalies Stat Leaders (Play-Off)

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