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Wolves
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Aaron | Morale : 1 | Team Overall : 57

Team Leaders

Team Stats
Team Info

General ManagerAaron
CoachJeff Blashill
DivisionMetropolitan Division
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets0


Roster Info

Pro Team24
Farm Team21
Contract Limit45 / 90
Prospects47


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 #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
1Jack Finley0X100.00505075519260606240656562635060015580222875,000$
2Kyle Criscuolo0X100.00503975607660606240656562635060011580321775,000$
3Tyler Angle0X100.00503783647571605852626362625060013580242900,000$
4Steven Fogarty0X100.00504675548660606040636562635060015580311775,000$
5Otto Koivula0X99.0050517550926060624066636262506009580261775,000$
6Tyler Tullio0X100.00504075577860605840626262615060010570222875,000$
7Lucas Condotta0X100.00505183528970605658626160615060013570272800,000$
8Reece Newkirk0X100.00504175557960605540616162615060014560231750,000$
9Henri Nikkanen0X100.00504975498960605540606162615060015560231875,000$
10Aaron Luchuk (R)0XXX100.00504275547960605640616162615060018560271775,000$
11Andrew Welinski0X99.0050457552846060722062616861506009590311775,000$
12Adam Brubacher0X100.00504675508760607120606168615060022590291775,000$
13Filip Johansson (R)0X100.00503975577960607320626268615060010590241875,000$
14Matt Irwin0X100.005045755284606072206161686150600155903711,000,000$
15Alex Kannok-Leipert0X100.00504575518460606920605968605060011580242950,000$
Scratches
1Benjamin Jones0X97.00504375578260606140646662635060012580251775,000$
2Adam Brooks0X98.00504175577960606040636562635060011580281775,000$
3Mikhail Maltsev0X98.0050457556856060624066636262506009580261775,000$
4Jonathan Dugan0X100.00504775518660605740636162615060014560261775,000$
5Aaron Aragon (R)0XXX100.00504175547860605340596062605060019550271775,000$
6Cameron Gaunce0X93.23504475538260607120616068605060011590341775,000$
TEAM AVERAGE99.2550447654836160623662626461506001358
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
1Cale Morris0100.0052605784565653575653557671019590281775,000$
2Erik Kallgren0100.00415451874645454646424476710195202811,000,000$
Scratches
1Gage Alexander0100.0034555290383937393935376666020470222875,000$
TEAM AVERAGE100.004256538747474547474345736901953
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jeff Blashill75757575757575USA5160$


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 Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Aaron AragonWolves (CAR)C/LW/RW271997-07-31USAYes185 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm775,000$719,643$0$0$No---------------------------
Aaron LuchukWolves (CAR)C/LW/RW271997-04-05CANYes188 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm775,000$719,643$0$0$No---------------------------
Adam BrooksWolves (CAR)C281996-05-06CANNo185 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm775,000$719,643$0$0$No---------------------------
Adam BrubacherWolves (CAR)D291995-12-13CANNo205 Lbs6 ft4NoNoFree AgentNoNo12025-04-02FalseFalsePro & Farm775,000$719,643$0$0$No---------------------------
Alex Kannok-LeipertWolves (CAR)D242000-07-20CANNo200 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm950,000$882,143$0$0$No950,000$--------950,000$--------No--------
Andrew WelinskiWolves (CAR)D311993-04-27USANo200 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$719,643$0$0$No---------------------------
Benjamin JonesWolves (CAR)C251999-02-26CANNo190 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$719,643$0$0$No---------------------------
Cale MorrisWolves (CAR)G281996-05-22USANo193 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$719,643$0$0$No---------------------------
Cameron GaunceWolves (CAR)D341990-03-19CANNo194 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$719,643$0$0$No---------------------------
Erik Kallgren (1 Way Contract)Wolves (CAR)G281996-10-14SWENo200 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$928,571$0$0$No---------------------------
Filip Johansson (Out of Payroll)Wolves (CAR)D242000-03-23SWEYes176 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm875,000$812,500$0$0$Yes---------------------------
Gage AlexanderWolves (CAR)G222002-07-02CANNo205 Lbs6 ft6NoNoN/ANoNo2FalseFalsePro & Farm875,000$812,500$0$0$No875,000$--------875,000$--------No--------
Henri NikkanenWolves (CAR)C232001-04-28FINNo215 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm875,000$812,500$0$0$No---------------------------
Jack FinleyWolves (CAR)C222002-09-02CANNo221 Lbs6 ft6NoNoN/ANoNo2FalseFalsePro & Farm875,000$812,500$0$0$No875,000$--------875,000$--------No--------
Jonathan DuganWolves (CAR)LW261998-03-24USANo209 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm775,000$719,643$0$0$No---------------------------
Kyle CriscuoloWolves (CAR)C321992-05-05USANo175 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm775,000$719,643$0$0$No---------------------------
Lucas CondottaWolves (CAR)C271997-06-19CANNo223 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm800,000$742,857$0$0$No800,000$--------800,000$--------No--------
Matt IrwinWolves (CAR)D371987-11-29CANNo200 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$928,571$0$0$No---------------------------
Mikhail MaltsevWolves (CAR)LW261998-03-12RUSNo198 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm775,000$719,643$0$0$No---------------------------
Otto KoivulaWolves (CAR)LW261998-09-01FINNo225 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm775,000$719,643$0$0$No---------------------------
Reece NewkirkWolves (CAR)C232001-02-20CANNo182 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$696,429$0$0$No---------------------------
Steven FogartyWolves (CAR)C311993-04-19USANo204 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm775,000$719,643$0$0$No---------------------------
Tyler AngleWolves (CAR)C242000-09-30CANNo166 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm900,000$835,714$0$0$No900,000$--------900,000$--------No--------
Tyler TullioWolves (CAR)RW222002-04-05CANNo180 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm875,000$812,500$0$0$No875,000$--------875,000$--------No--------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2426.92197 Lbs6 ft11.25827,083$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tyler AngleOtto Koivula40122
2Jack Finley30122
3Steven FogartyTyler Angle20122
4Steven FogartyTyler Angle10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Andrew WelinskiAdam Brubacher40122
2Matt IrwinFilip Johansson30122
3Alex Kannok-LeipertMatt Irwin20122
4Filip JohanssonMatt Irwin10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Steven Fogarty60122
2Tyler AngleJack Finley40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Andrew WelinskiAdam Brubacher60122
2Matt IrwinFilip Johansson40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Steven Fogarty40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Alex Kannok-LeipertAndrew Welinski60122
2Matt IrwinFilip Johansson40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Alex Kannok-LeipertAndrew Welinski60122
240122Matt IrwinFilip Johansson40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Steven Fogarty40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Andrew WelinskiAlex Kannok-Leipert60122
2Matt IrwinFilip Johansson40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jack FinleyAndrew WelinskiMatt Irwin
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jack FinleyAndrew WelinskiMatt Irwin
Extra Forwards
Normal PowerPlayPenalty Kill
Steven Fogarty, , Lucas CondottaSteven Fogarty, Lucas Condotta
Extra Defensemen
Normal PowerPlayPenalty Kill
Alex Kannok-Leipert, Filip Johansson, Matt IrwinAlex Kannok-LeipertFilip Johansson, Matt Irwin
Penalty Shots
, , Steven Fogarty, , Tyler Angle
Goalie
#1 : Cale Morris, #2 : Erik Kallgren
Custom OT Lines Forwards
, Tyler Tullio, Jack Finley, Henri Nikkanen, Tyler Angle, Steven Fogarty, , , Otto Koivula, Lucas Condotta
Custom OT Lines Defensemen
Adam Brubacher, Andrew Welinski, Matt Irwin, Filip Johansson, Alex Kannok-Leipert


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
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%000%0000%000%000%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%000%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%000%000%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


Last Played Games
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price350
Attendance0%0%
Attendance PCT0%0%

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

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 1,885,000$ 1,797,500$ 0$0$
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$ 13 0$ 0$




Wolves Players 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 Players 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