Wolf Pack

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Laurent Mailhot | Morale : 75 | Team Overall : 61

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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.
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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 SP
1Bradly NadeauX100.006537856668868465626368616662637875640
2Noah OstlundX100.005836926867848269706667637162648475640
3Judd CaulfieldX100.007640885685758657605958615565675475610
4Francesco PinelliX100.006239775971838557605859565563657475600
5Xavier ParentX100.006638705862828457605859555765674275590
6Dmitry KuzminX100.005737895868657857305655594663656475590
7Stian SolbergX100.007041665979707556305758604861638175590
8Calle OdeliusX100.006638925775647456305553544562646775580
Scratches
1Jonny BrodzinskiX100.006635956976788065796466646374763275660
2Daniil But (R)X100.007642796790878668616466636261658575650
3Zach Aston-ReeseX100.007842836978808563586160686274732775650
4Isak RosenX100.006136956971858766646367626963658375640
5Fabian LysellX100.006139766670828364586359576663658175620
6Gabriel SegerX100.007940935888698457535556595767693775610
7Tyson KozakX100.007039876369777857735659655864664875610
8Xavier BourgaultX100.006536895769848556605958555764668075600
9Hayden HodgsonXXX100.007765525886707956555455575370723575590
10Mathieu Cataford (R)X100.006238875771737056545553585261636675580
11Tom Willander (R)X100.006336886773858865306959645061638575640
12Oliver Bonk (R)X100.006938856776837766306461624861658275630
13Lukas CormierX100.006039806469797263306754584864666575610
14Dylan AnhornX100.006339795872697756305954574567693775590
15Lukas Dragicevic (R)X100.006639845675636754305752554561637075580
16Charlie WrightX100.006436955573627254305351564563654575570
TEAM AVERAGE100.00673984627476806050605960556466637561
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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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
Scratches
1Sebastian Cossa100.00788783987776787776787764718275660
2Kaapo Kahkonen100.00758580847473757473757472845375640
3Connor D. Murphy100.00667368876564666564666568813675590
4Trey Augustine (R)100.00617168746059616059616061657475570
TEAM AVERAGE100.0070797586696870696870696675617562
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 StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Bradly NadeauLW212005-05-05No180 Lbs5 ft11NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Calle OdeliusD222004-05-30No201 Lbs6 ft0NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Charlie WrightD232003-10-22No179 Lbs6 ft1NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Connor D. MurphyG281998-09-01No201 Lbs6 ft4NoNoNo0UFAPro & Farm0$0$NoLink / NHL Link
Daniil ButLW212005-02-15Yes203 Lbs6 ft5NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Dmitry KuzminD232003-04-23No188 Lbs5 ft10NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Dylan AnhornD271999-01-21No190 Lbs6 ft0NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Fabian LysellRW232003-01-19No181 Lbs5 ft11NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Francesco PinelliC232003-04-11No185 Lbs6 ft0NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Gabriel SegerC271999-11-15No209 Lbs6 ft4NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Hayden HodgsonC/LW/RW301996-03-02No226 Lbs6 ft2NoNoNo0UFAPro & Farm0$0$NoLink / NHL Link
Isak RosenLW232003-03-15No185 Lbs6 ft0NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Jonny BrodzinskiC331993-06-19No206 Lbs6 ft0NoNoNo0UFAPro & Farm0$0$NoLink / NHL Link
Judd CaulfieldRW252001-03-19No207 Lbs6 ft3NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Kaapo KahkonenG301996-08-16No217 Lbs6 ft2NoNoNo0UFAPro & Farm0$0$NoLink / NHL Link
Lukas CormierD242002-03-27No185 Lbs5 ft11NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Lukas DragicevicD212005-04-25Yes190 Lbs6 ft1NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Mathieu CatafordC212005-03-01Yes191 Lbs5 ft11NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Noah OstlundC222004-03-11No180 Lbs5 ft11NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Oliver BonkD212005-01-09Yes180 Lbs6 ft2NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Sebastian CossaG242002-11-21No229 Lbs6 ft6NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Stian SolbergD212005-12-29No194 Lbs6 ft2NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Tom WillanderD212005-02-09Yes180 Lbs6 ft1NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Trey AugustineG212005-02-23Yes183 Lbs6 ft1NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Tyson KozakC242002-12-29No185 Lbs5 ft11NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Xavier BourgaultRW242002-10-22No185 Lbs5 ft11NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Xavier ParentC252001-03-23No170 Lbs5 ft8NoNoNo1RFAPro & Farm850,000$0$0$NoLink / NHL Link
Zach Aston-ReeseC321994-08-10No203 Lbs6 ft1NoNoNo0UFAPro & Farm0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2824.29193 Lbs6 ft11.07459,821$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Bradly NadeauXavier Parent40122
230122
3Noah OstlundJudd Caulfield20122
4Bradly NadeauFrancesco Pinelli10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Stian Solberg40122
2Dmitry Kuzmin30122
3Calle Odelius20122
4Dmitry KuzminStian Solberg10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Bradly NadeauXavier Parent60122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Stian Solberg60122
2Dmitry KuzminCalle Odelius40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Bradly Nadeau60122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Calle OdeliusStian Solberg60122
2Dmitry Kuzmin40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Bradly Nadeau60122Calle OdeliusStian Solberg60122
240122Dmitry Kuzmin40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Bradly Nadeau60122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Stian Solberg60122
2Dmitry KuzminCalle Odelius40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Bradly NadeauXavier ParentDmitry KuzminStian Solberg
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Bradly NadeauXavier ParentDmitry KuzminStian Solberg
Extra Forwards
Normal PowerPlayPenalty Kill
, Judd Caulfield, Noah Ostlund, Judd CaulfieldNoah Ostlund
Extra Defensemen
Normal PowerPlayPenalty Kill
, Calle Odelius, Dmitry KuzminCalle Odelius, Dmitry Kuzmin
Penalty Shots
Bradly Nadeau, , , , Xavier Parent
Goalie
#1 : , #2 :


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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

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
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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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity30002000
Ticket Price2515
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
41 0 - 0.00%0$0$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,287,500$ 1,287,500$ 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$




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
202056173204201180205-25281013031011031021287190110077103-264518032150121070673919460665664602189959032113021844423.91%1523477.63%01007205748.95%910192947.17%48693252.15%13319181326413719355
202182263606644250300-5041141603431131146-1541122003213119154-358225043968931079719025350783855852277678258319082384016.81%2545179.92%41440280451.36%1511293451.50%687136150.48%1948133119526171080535
202282393501205286303-1741231300104151142941162201101135161-26872865228083201087710027520889907939287584669318863036922.77%3006877.33%51408287748.94%1409297247.41%641136047.13%1925132019706131053521
202382303604543279296-1741161802212136144-841141802331143152-984279490769230106719428400926954930291184062018703296018.24%2686276.87%31435297548.24%1402300646.64%597136643.70%1914132020116251053519
202482292804975238244-641131502353122129-74116130262211611519423841465205092746125140868788807238864054218622564316.80%2324580.60%21428280250.96%1340270349.57%625125349.88%1974137519616071069530
202582303407533228237-941151704122116110641151703411112127-158822840963722083756024400832789775242466445418202734616.85%2042985.78%11347270149.87%1287268247.99%642125950.99%1941133619815961047522
Total Regular Season46617120102629182114611585-1242339192014121113759773-14233801090121778702812-11048014612595405612140538435444150270496349574905152734362321310648158330219.08%141028979.50%1580651621649.73%78591622648.43%3678753148.84%11035760311203347260232986
Playoff
2024624000001416-230300000811-332100000651414264000010311870735460144492615019210.53%13192.31%010022145.25%8118244.51%409542.11%143100139437738
Total Playoff624000001416-230300000811-332100000651414264000010311870735460144492615019210.53%13192.31%010022145.25%8118244.51%409542.11%143100139437738