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Wolf Pack
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Steve | Morale : 50 | Team Overall : 59
Next Games #6 vs Penguins

Penguins
0-0-0, 0pts
Day 2
Wolf Pack
0-0-0, 0pts
Team Stats
N/AStreakN/A
0-0-0Home Record0-0-0
0-0-0Away Record0-0-0
0-0-0Last 10 Games0-0-0
0Goals Per Game0
0Goals Against Per Game0
0%Power Play Percentage0%
0%Penalty Kill Percentage0%
Wolf Pack
0-0-0, 0pts
Day 4
Islanders
0-0-0, 0pts
Team Stats
N/AStreakN/A
0-0-0Home Record0-0-0
0-0-0Away Record0-0-0
0-0-0Last 10 Games0-0-0
0Goals Per Game0
0Goals Against Per Game0
0%Power Play Percentage0%
0%Penalty Kill Percentage0%
Wolf Pack
0-0-0, 0pts
Day 6
Phantoms
0-0-0, 0pts
Team Stats
N/AStreakN/A
0-0-0Home Record0-0-0
0-0-0Away Record0-0-0
0-0-0Last 10 Games0-0-0
0Goals Per Game0
0Goals Against Per Game0
0%Power Play Percentage0%
0%Penalty Kill Percentage0%
Team Leaders

Team Stats
Team Info

General ManagerSteve
CoachDavid Bell
DivisionAtlantic
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets0


Roster Info

Pro Team22
Farm Team20
Contract Limit42 / 51
Prospects29


Team History

This Season0-0-0 (0PTS)
History0-0-0
Playoff Appearances1
Playoff Record (W-L)3 - 4 (0.429%)
Stanley Cup0


Filter Tips
PriorityTypeDescription
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2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
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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
1Bradly Nadeau (R)XX100.008344947466638068265076672545457150630212918,333$
2Joshua RoyXX100.0074708365707376655059666563474766506202332,000,000$
3John HaydenXX100.007282496582798557714758675565666050620311850,000$
4Owen Beck (R)XXX100.008144878171538860775058652546466250610222853,333$
5Luca Del Bel Belluz (R)XX100.005941907069538462555755672546466150600221860,000$
6Jakub Stancl (R)X100.007974916274707554684756645344446050580213936,111$
7Filip MesarX100.007265886065798654505351614844445950580222886,667$
8Henrik RybinskiX100.007772876372535259745756645344446150580251850,000$
9Danny ZhilkinX100.007975896275535355694857645444446050570222866,666$
10Spencer SmallmanX100.007775826375504958505656645344445950570302850,000$
11Hugh McGingXX100.006460745760788457505653575044445850570284900,000$
12Aidan Thompson (R)X100.007366906066596055695154615144445850560243907,500$
13Jaycob MegnaX100.0083828465827583472535416939626255506303311,500,000$
14Andreas EnglundX100.007477666277677249253941653962635350600301900,000$
15Stian Solberg (R)X100.007276615876798651253751604844445650590203975,000$
16Ryan MastX100.008482876382596250254739663744445450590232850,000$
17Sebastian AhoDX100.007064836264515154254941643962635450580301850,000$
Scratches
1Will LockwoodX100.007467896667515056705058625544445950560281850,000$
2Seamus Casey (R)X100.007165866065545455255540613845465450560222950,000$
3Gavin WhiteX100.007772895972474848253446624444445250550231857,500$
TEAM AVERAGE100.00756882647262695648495364454848595059
Filter Tips
PriorityTypeDescription
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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Michael DiPietro100.00575468767065726967613044446450630271850,000$
2Jon Gillies100.0053485490544959575553524747485056N0321850,000$
Scratches
TEAM AVERAGE100.0055516183625766636157414646565060
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
David Bell72646661757177CAN491475,000$


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
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
Aidan ThompsonWolf Pack (NYR)C242002-02-18USAYes180 Lbs5 ft11NoNoAssign ManuallyNoNo32026-08-01FalseFalsePro & Farm907,500$907,500$0$0$No907,500$907,500$-------907,500$907,500$-------NoNo-------Link / NHL Link
Andreas EnglundWolf Pack (NYR)D301996-01-21SWENo200 Lbs6 ft4NoNoTrade2026-08-31NoYes12024-08-04FalseFalsePro & Farm900,000$900,000$0$0$No---------------------------Link / NHL Link
Bradly NadeauWolf Pack (NYR)LW/RW212005-05-05CANYes180 Lbs5 ft11NoNoAssign ManuallyNoNo22025-06-14FalseFalsePro & Farm918,333$918,333$0$0$No918,333$--------918,333$--------No--------Link / NHL Link
Danny ZhilkinWolf Pack (NYR)C222003-12-19ONTNo200 Lbs6 ft2NoNoFree AgentNoNo22025-09-05FalseFalsePro & Farm866,666$866,666$0$0$No866,666$--------866,666$--------No--------Link / NHL Link
Filip MesarWolf Pack (NYR)RW222004-01-03SVKNo181 Lbs5 ft10NoNoAssign ManuallyNoNo22025-06-14FalseFalsePro & Farm886,667$886,667$0$0$No886,667$--------886,667$--------No--------Link / NHL Link
Gavin WhiteWolf Pack (NYR)D232002-11-12CANNo195 Lbs6 ft1NoNoAssign ManuallyNoNo12024-06-30FalseFalsePro & Farm857,500$857,500$0$0$No---------------------------Link / NHL Link
Henrik RybinskiWolf Pack (NYR)C252001-06-26ABNo195 Lbs6 ft1NoNoAssign ManuallyNoYes12026-10-05FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Link / NHL Link
Hugh McGingWolf Pack (NYR)LW/RW281998-07-11USANo174 Lbs5 ft8NoNoTrade2026-08-31NoYes42025-08-02FalseFalsePro & Farm900,000$900,000$0$0$No900,000$900,000$900,000$------900,000$900,000$900,000$------NoNoNo------Link / NHL Link
Jakub StanclWolf Pack (NYR)C212005-04-10CZEYes198 Lbs6 ft3NoNoAssign ManuallyNoNo32026-08-01FalseFalsePro & Farm936,111$936,111$0$0$No936,111$936,111$-------936,111$936,111$-------NoNo-------Link / NHL Link
Jaycob MegnaWolf Pack (NYR)D331992-12-10USANo214 Lbs6 ft6NoNoTrade2026-08-31NoYes12024-08-11FalseFalsePro & Farm1,500,000$1,500,000$0$0$No---------------------------Link / NHL Link
John HaydenWolf Pack (NYR)C/RW311995-02-14USANo223 Lbs6 ft3NoNoTrade2026-08-31NoYes12025-08-19FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Link / NHL Link
Jon GilliesWolf Pack (NYR)G321994-01-21USANo216 Lbs6 ft5YesNoFree Agent2026-01-26NoYes12026-08-08FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Link / NHL Link
Joshua RoyWolf Pack (NYR)LW/RW232003-08-06CANNo192 Lbs6 ft0NoNoTrade2026-08-14NoNo32026-07-06FalseFalsePro & Farm2,000,000$2,000,000$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Link / NHL Link
Luca Del Bel BelluzWolf Pack (NYR)C/LW222003-11-10CANYes185 Lbs6 ft1NoNoAssign ManuallyNoNo12024-06-30FalseFalsePro & Farm860,000$860,000$0$0$No---------------------------Link / NHL Link
Michael DiPietroWolf Pack (NYR)G271999-06-09CANNo205 Lbs6 ft1NoNoTrade2026-08-14NoYes12025-08-15FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Link / NHL Link
Owen BeckWolf Pack (NYR)C/LW/RW222004-02-03CANYes199 Lbs6 ft0NoNoAssign ManuallyNoNo22025-06-14FalseFalsePro & Farm853,333$853,333$0$0$No853,333$--------853,333$--------No--------Link / NHL Link
Ryan MastWolf Pack (NYR)D232003-01-14USANo217 Lbs6 ft5NoNoAssign Manually2026-08-31NoNo22026-10-05FalseFalsePro & Farm850,000$850,000$0$0$No850,000$--------850,000$--------No--------Link / NHL Link
Seamus CaseyWolf Pack (NYR)D222004-01-08USAYes181 Lbs5 ft10NoNoAssign ManuallyNoNo22025-06-14FalseFalsePro & Farm950,000$950,000$0$0$No950,000$--------950,000$--------No--------Link / NHL Link
Sebastian AhoDWolf Pack (NYR)D301996-02-17SWENo177 Lbs5 ft11NoNoAssign Manually2026-08-31NoYes12026-10-05FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Link / NHL Link
Spencer SmallmanWolf Pack (NYR)RW301996-09-09CANNo205 Lbs6 ft1NoNoAssign Manually2026-08-31NoYes22026-10-05FalseFalsePro & Farm850,000$850,000$0$0$No850,000$--------850,000$--------No--------Link / NHL Link
Stian SolbergWolf Pack (NYR)D202005-12-29NORYes205 Lbs6 ft2NoNoAssign ManuallyNoNo32026-08-01FalseFalsePro & Farm975,000$975,000$0$0$No975,000$975,000$-------975,000$975,000$-------NoNo-------Link / NHL Link
Will LockwoodWolf Pack (NYR)RW281998-06-20USANo185 Lbs5 ft11NoNoAssign Manually2026-08-31NoYes12026-10-05FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2225.41196 Lbs6 ft11.82959,596$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Bradly Nadeau40122
2Luca Del Bel Belluz30122
320122
4Owen Beck10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Bradly Nadeau60122
2Luca Del Bel Belluz40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Luca Del Bel Belluz60122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
2Luca Del Bel Belluz4012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Luca Del Bel Belluz60122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Bradly Nadeau
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Bradly Nadeau
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, Luca Del Bel Belluz, , , Bradly Nadeau
Goalie
#1 : , #2 :
Custom OT Lines Forwards
, Luca Del Bel Belluz, , , Bradly Nadeau, , Owen Beck, , ,
Custom OT Lines Defensemen
, , , ,


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
26Penguins-Wolf Pack-
420Wolf Pack-Islanders-
632Wolf Pack-Phantoms-
849Wranglers-Wolf Pack-
1056Wolf Pack-Eagles-
1487Wolf Pack-Bears-
1594Eagles-Wolf Pack-
18114Roadrunners-Wolf Pack-
21134Wolf Pack-Bruins-
23146Bruins-Wolf Pack-
26170Wolves-Wolf Pack-
28181Wolf Pack-Penguins-
32202Phantoms-Wolf Pack-
36230Wolf Pack-Checkers-
37239Islanders-Wolf Pack-
40261Wolf Pack-Wolves-
41268Monsters-Wolf Pack-
44291Wolf Pack-Canucks-
46301Wolf Pack-Barracuda-
47309Wild-Wolf Pack-
51329Admirals-Wolf Pack-
56362Penguins-Wolf Pack-
60389Stars-Wolf Pack-
63408Wolf Pack-Phantoms-
65418Wolf Pack-Gulls-
66425Eagles-Wolf Pack-
69445Wolf Pack-Senators-
71457Marlies-Wolf Pack-
74474Wolf Pack-Eagles-
76487Islanders-Wolf Pack-
82518Barracuda-Wolf Pack-
84531Wolf Pack-Reign-
87547Wolf Pack-Bears-
88552Roadrunners-Wolf Pack-
92579Wolf Pack-Bruins-
94588Comets-Wolf Pack-
97607Wolf Pack-Roadrunners-
98618Ice Hogs-Wolf Pack-
101633Wolf Pack-Penguins-
103645Wolf Pack-Firebirds-
105654Bruins-Wolf Pack-
107672Wolf Pack-Comets-
110688Condors-Wolf Pack-
114714Senators-Wolf Pack-
117732Wolf Pack-Monsters-
119743Wolf Pack-Wolves-
120751Canucks-Wolf Pack-
123776Bears-Wolf Pack-
127797Wolf Pack-Ice Hogs-
130811Firebirds-Wolf Pack-
132821Wolf Pack-Stars-
134834Wolf Pack-Checkers-
136849Silver Knights-Wolf Pack-
139871Wolf Pack-Moose-
140880 Americans-Wolf Pack-
143899Wolf Pack-Silver Knights-
145910Phantoms-Wolf Pack-
149936Wolves-Wolf Pack-
152955Wolf Pack- Americans-
154968Thunderbirds-Wolf Pack-
156977Wolf Pack-Admirals-
159998Wolf Pack-Silver Knights-
1611007Rocket-Wolf Pack-
1631018Wolf Pack-Wranglers-
1651035Reign-Wolf Pack-
Trade Deadline --- Trades can’t be done after this day is simulated!
1691057Wolf Pack-Islanders-
1711067Wranglers-Wolf Pack-
1731084Wolf Pack-Marlies-
1751100Griffins-Wolf Pack-
1801128Wolf Pack-Rocket-
1811137Gulls-Wolf Pack-
1851162Crunch-Wolf Pack-
1871172Wolf Pack-Thunderbirds-
1901192Moose-Wolf Pack-
1921204Wolf Pack-Condors-
1951222Checkers-Wolf Pack-
1971236Wolf Pack-Wild-
2021254Checkers-Wolf Pack-
2031261Wolf Pack-Condors-
2051271Wolf Pack-Griffins-
2091292Bears-Wolf Pack-
2111301Wolf Pack-Crunch-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price200
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$ 2,111,111$ 2,111,111$ 475,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
9,865$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 214 12,085$ 2,586,190$




Wolf Pack 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

Wolf Pack Goalies Stat Leaders (Regular Season)

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

Wolf Pack 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
Regular Season
Total Regular Season0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000
Playoff
20257340000022220413000001012-232100000121026223961001066016057475601514013914238410.53%431174.42%09619948.24%11522351.57%5611150.45%167115163538844
Total Playoff7340000022220413000001012-232100000121026223961001066016057475601514013914238410.53%431174.42%09619948.24%11522351.57%5611150.45%167115163538844

Wolf Pack 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
1Vinni Lettieri73471817231816.67%015021.54112400000041.95%00.9300
2Tanner Laczynski7167241016137.69%113519.35022400000063.16%01.0300
3Bradly Nadeau724636681216.67%012017.15112200000180.00%01.0000
4Kyle Rau714520110616.67%0557.86000000000050.00%01.8200
5Stephen Halliday73252112131127.27%18912.80000000001067.65%11.1200

Wolf Pack Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Dustin Tokarski73400.8413.42369002113200000
2Felix Sandstrom20000.9471.25480011900000