Please rotate your device to landscape mode for a better experience.
Login

Wolf Pack
GP: 35 | W: 15 | L: 16 | OTL: 4 | P: 34
GF: 85 | GA: 119 | PP%: 30.26% | PK%: 71.43%
GM : Blane Dermott | Morale : 45 | Team Overall : 59
Next Games #539 vs Reign

Game Center
Wolf Pack
15-16-4, 34pts
0
3 Silver Knights
17-10-6, 40pts
Team Stats
W1StreakW4
8-9-0Home Record12-3-2
7-7-4Home Record5-7-4
3-5-2Last 10 Games5-2-3
2.43Goals Per Game2.73
3.40Goals Against Per Game2.82
30.26%Power Play Percentage34.85%
71.43%Penalty Kill Percentage75.76%
Crunch
8-20-5, 21pts
0
2 Wolf Pack
15-16-4, 34pts
Team Stats
L3StreakW1
5-8-4Home Record8-9-0
3-12-1Home Record7-7-4
4-6-0Last 10 Games3-5-2
2.27Goals Per Game2.43
3.21Goals Against Per Game3.40
25.00%Power Play Percentage30.26%
73.47%Penalty Kill Percentage71.43%
Wolf Pack
15-16-4, 34pts
Day 43
Reign
20-13-1, 41pts
Team Stats
W1StreakW2
8-9-0Home Record7-10-0
7-7-4Away Record13-3-1
3-5-2Last 10 Games7-2-1
2.43Goals Per Game3.97
3.40Goals Against Per Game3.97
30.26%Power Play Percentage25.47%
71.43%Penalty Kill Percentage73.83%
Thunderbirds
27-5-2, 56pts
Day 44
Wolf Pack
15-16-4, 34pts
Team Stats
W11StreakW1
13-3-1Home Record8-9-0
14-2-1Away Record7-7-4
10-0-0Last 10 Games3-5-2
4.79Goals Per Game2.43
2.97Goals Against Per Game2.43
31.25%Power Play Percentage30.26%
81.03%Penalty Kill Percentage71.43%
Wolf Pack
15-16-4, 34pts
Day 45
Monsters
11-14-9, 31pts
Team Stats
W1StreakW2
8-9-0Home Record4-7-6
7-7-4Away Record7-7-3
3-5-2Last 10 Games3-6-1
2.43Goals Per Game1.85
3.40Goals Against Per Game1.85
30.26%Power Play Percentage25.42%
71.43%Penalty Kill Percentage71.05%
Team Leaders
Goals
Jiri Kulich
18
Assists
Jiri Kulich
18
Points
Jiri Kulich
36
Plus/Minus
Alex Ciernik
2
Wins
Calle Clang
14
Save Percentage
Ruslan Khazheyev
0.846

Team Stats
Goals For
85
2.43 GFG
Shots For
578
16.51 Avg
Power Play Percentage
30.3%
23 GF
Offensive Zone Start
34.5%
Goals Against
119
3.40 GAA
Shots Against
711
20.31 Avg
Penalty Kill Percentage
71.4%%
22 GA
Defensive Zone Start
34.7%
Team Info

General ManagerBlane Dermott
CoachBlaine Forsythe
DivisionDivision 1
ConferenceConference 1
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,166
Season Tickets1,500


Roster Info

Pro Team22
Farm Team18
Contract Limit40 / 100
Prospects60


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
1Jiri Kulich (R)XX100.006742908072688372766679632552527056670211950,000$
2Riley TufteX100.0083887277887680655059666862474767546502711,171,000$
3Alex TurcotteXXX97.0069429180685985664669646325575767446402421,136,000$
4Jack Finley (R)X100.008485826886606064815965676245456556620231896,667$
5Matthew PhillipsX100.0068579670577881665065636060454565546202731,431,000$
6Fabian Lysell (R)X100.0063418674676580672565615725474661556102311,065,000$
7Nikita Chibrikov (R)X100.0070629073635756615059596056454561585902331,111,000$
8Noel Gunler (R)XX100.0071668267676973565051586056454559555802431,200,000$
9Simon Robertsson (R)X100.0075708665715150585054596256454559485702331,292,000$
10Alex Ciernik (R)XXX100.0074659981665150546961446142454556575702131,296,000$
11Colson GengenbachXXX100.0065598180593533435537435442454549514902511,000,000$
12Louis Crevier (R)X100.008747918189726462254451842551516350690241925,000$
13Nikolas Matinpalo (R)X100.0067438583796084602547486525494958566302731,471,000$
14Ethan BearX100.0075708569707579602554506348454661546202822,288,000$
15Carson LambosX100.0074718266727684472539415939454553545902331,272,000$
16Ben GleasonX100.0075718764715556522549416139454553445702731,215,000$
17Jorian Donovan (R)X100.0071756564765254472536415839454549545402131,263,000$
18Charles MartinX100.0077689980683332412528396037444449485302711,000,000$
Scratches
1Jonah GadjovichX96.7895996274825161595550596125616161426002731,453,000$
2Ryan Chesley (R)X94.3782759981764948542528646562454562406002131,324,000$
TEAM AVERAGE99.41756586747260655843515563434747595260
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
1Calle Clang100.00505063774945475047493046454859510231878,333$
2Ruslan Khazheyev (R)100.004545568343445052464730444447645102131,114,000$
Scratches
TEAM AVERAGE100.0048486080464549514748304545486251
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Blaine Forsythe40404040404040CAN6311,000,000$


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
1Jiri KulichWolf Pack (NYR)C/RW27181836-3155374987235820.69%760522.4245910432025473155.08%5411711011.1902010711
2Riley TufteWolf Pack (NYR)LW35111829-152915505775325714.67%1374221.222576591126372135.42%48137000.7811021212
3Fabian LysellWolf Pack (NYR)RW3581523-176050419231308.70%1175221.513695460003570032.62%1411610000.6103000112
4Alex TurcotteWolf Pack (NYR)C/LW/RW239918-1320303851194017.65%1446920.402024220000182140.23%174169000.7700000115
5Louis CrevierWolf Pack (NYR)D3521517-297554795023184.00%4893826.82145561022464000%01823100.3600001110
6Matthew PhillipsWolf Pack (NYR)RW357916-150058463693219.44%362117.7755101146000000042.86%758000.5100000011
7Jack FinleyWolf Pack (NYR)C358614-14261050464562717.78%967719.362354460001282061.44%30687000.4100110210
8Nikita ChibrikovWolf Pack (NYR)RW357613-500343827101425.93%456916.281122200000112041.46%4177000.4602000021
9Nikolas MatinpaloWolf Pack (NYR)D3521012-26261021563211126.25%4883023.71112562000157000%11620000.2900101010
10Jonah GadjovichWolf Pack (NYR)LW335611-156315473720112325.00%558217.65224334000050144.83%291012000.3800012001
11Noel GunlerWolf Pack (NYR)LW/RW35246-814044471251116.67%450014.3100012000051057.14%736000.2400000000
12Ethan BearWolf Pack (NYR)D35044-5180305110950%1975521.58022046000013000%01112000.1100000000
13Simon RobertssonWolf Pack (NYR)RW24224-619525261851111.11%231313.0500000000001057.14%757000.2612100110
14Ryan ChesleyWolf Pack (NYR)D33044-7553256107120%2767920.59000239011038000%0115000.1211010000
15Alex CiernikWolf Pack (NYR)C/LW/RW35314200131443375.00%02517.1700003000031147.37%3814000.3200000100
16Ben GleasonWolf Pack (NYR)D35011200642000%21153.290000000001000%000000.1700000000
17Jorian DonovanWolf Pack (NYR)D35011-28012182020%540211.500000000000000%004000.0500000000
18Carson LambosWolf Pack (NYR)D35000-24019275210%853515.2900004000042000%021700000000000
19Charles MartinWolf Pack (NYR)D10000000000000%050.590000000000000%00000000000000
20Colson GengenbachWolf Pack (NYR)C/LW/RW25000000210000%0863.4800000000000042.86%70000000000000
Team Total or Average63084129213-1782427061473157820635614.53%2291043516.56233457585423472043414550.56%1347149179110.41311365161113
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
1Calle ClangWolf Pack (NYR)35141630.8323.291860041026073563000350020
2Ruslan KhazheyevWolf Pack (NYR)71010.8463.75256001610463000.70010035000
Team Total or Average42151640.8343.3521160411871141930103535020


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
Alex CiernikWolf Pack (NYR)C/LW/RW212004-10-08GERYes180 Lbs5 ft10NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,296,000$810,000$0$0$No1,296,000$1,296,000$-------1,296,000$1,296,000$-------NoNo-------Link
Alex TurcotteWolf Pack (NYR)C/LW/RW242001-02-26USANo185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,136,000$710,000$0$0$No1,136,000$--------1,136,000$--------No--------Link
Ben GleasonWolf Pack (NYR)D271998-03-25USANo190 Lbs6 ft1NoNoFree AgentNoNo32025-10-17FalseFalsePro & Farm1,215,000$759,375$0$0$No1,215,000$1,215,000$-------1,215,000$1,215,000$-------NoNo-------Link
Calle ClangWolf Pack (NYR)G232002-05-20SWENo198 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm878,333$548,958$0$0$No---------------------------Link
Carson LambosWolf Pack (NYR)D232003-01-14CANNo193 Lbs6 ft1NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,272,000$795,000$0$0$No1,272,000$1,272,000$-------1,272,000$1,272,000$-------NoNo-------Link
Charles MartinWolf Pack (NYR)D271998-03-30QCNo185 Lbs6 ft0NoNoAssign ManuallyNoNo12026-02-11FalseFalsePro & Farm1,000,000$625,000$0$0$No---------------------------Link
Colson GengenbachWolf Pack (NYR)C/LW/RW252000-07-24ABNo165 Lbs5 ft9NoNoAssign ManuallyNoNo12026-01-06FalseFalsePro & Farm1,000,000$625,000$0$0$No---------------------------Link
Ethan BearWolf Pack (NYR)D281997-06-26CANNo197 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm2,288,000$1,430,000$0$0$No2,288,000$--------2,288,000$--------No--------Link / NHL Link
Fabian LysellWolf Pack (NYR)RW232003-01-19SWEYes181 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,065,000$665,625$0$0$No---------------------------Link
Jack FinleyWolf Pack (NYR)C232002-09-02USAYes220 Lbs6 ft6NoNoTrade2024-12-05NoNo1FalseFalsePro & Farm896,667$560,417$0$0$No---------------------------Link
Jiri KulichWolf Pack (NYR)C/RW212004-04-14CZEYes190 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm950,000$593,750$0$0$No---------------------------Link
Jonah GadjovichWolf Pack (NYR)LW271998-10-12CANNo211 Lbs6 ft3NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,453,000$908,125$0$0$No1,453,000$1,453,000$-------1,453,000$1,453,000$-------NoNo-------Link / NHL Link
Jorian DonovanWolf Pack (NYR)D212004-05-04ABYes200 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,263,000$789,375$0$0$No1,263,000$1,263,000$-------1,263,000$1,263,000$-------NoNo-------Link
Louis CrevierWolf Pack (NYR)D242001-05-04CANYes228 Lbs6 ft8NoNoN/ANoNo1FalseFalsePro & Farm925,000$578,125$0$0$No---------------------------Link
Matthew PhillipsWolf Pack (NYR)RW271998-04-06CANNo160 Lbs5 ft8NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,431,000$894,375$0$0$No1,431,000$1,431,000$-------1,431,000$1,431,000$-------NoNo-------Link / NHL Link
Nikita ChibrikovWolf Pack (NYR)RW232003-02-16RUSYes170 Lbs5 ft10NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,111,000$694,375$0$0$No1,111,000$1,111,000$-------1,111,000$1,111,000$-------NoNo-------Link
Nikolas MatinpaloWolf Pack (NYR)D271998-10-05FINYes211 Lbs6 ft3NoNoFree AgentNoNo32025-10-17FalseFalsePro & Farm1,471,000$919,375$0$0$No1,471,000$1,471,000$-------1,471,000$1,471,000$-------NoNo-------Link
Noel GunlerWolf Pack (NYR)LW/RW242001-10-07SWEYes175 Lbs6 ft1NoNoDraftNoNo32025-12-08FalseFalsePro & Farm1,200,000$750,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Link
Riley TufteWolf Pack (NYR)LW271998-04-10USANo230 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm1,171,000$731,875$0$0$No---------------------------Link
Ruslan KhazheyevWolf Pack (NYR)G212004-11-20RUSYes201 Lbs6 ft4NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,114,000$696,250$0$0$No1,114,000$1,114,000$-------1,114,000$1,114,000$-------NoNo-------Link
Ryan ChesleyWolf Pack (NYR)D212004-02-27USAYes205 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,324,000$827,500$0$0$No1,324,000$1,324,000$-------1,324,000$1,324,000$-------NoNo-------Link
Simon RobertssonWolf Pack (NYR)RW232003-02-05SWEYes194 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,292,000$807,500$0$0$No1,292,000$1,292,000$-------1,292,000$1,292,000$-------NoNo-------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2224.09194 Lbs6 ft12.181,216,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Riley TufteAlex TurcotteJiri Kulich40122
2Matthew PhillipsJack FinleyFabian Lysell30122
3Riley TufteFabian LysellNikita Chibrikov20122
4Noel GunlerJack FinleyRiley Tufte10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Louis CrevierNikolas Matinpalo40122
2Ethan BearCarson Lambos30122
3Carson LambosLouis Crevier20122
4Jorian DonovanLouis Crevier10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Riley TufteNikita ChibrikovAlex Turcotte60122
2Matthew PhillipsJack FinleyFabian Lysell40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Louis CrevierNikolas Matinpalo60122
2Carson LambosEthan Bear40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jack FinleyFabian Lysell60122
2Riley TufteNikita Chibrikov40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Louis CrevierNikolas Matinpalo60122
2Carson LambosEthan Bear40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Fabian Lysell60122Louis CrevierEthan Bear60122
2Noel Gunler40122Jorian DonovanNikolas Matinpalo40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Riley TufteFabian Lysell60122
2Alex TurcotteNikita Chibrikov40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nikolas MatinpaloLouis Crevier60122
2Ethan BearCarson Lambos40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Fabian LysellAlex TurcotteRiley TufteLouis CrevierNikolas Matinpalo
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Fabian LysellAlex TurcotteRiley TufteLouis CrevierNikolas Matinpalo
Extra Forwards
Normal PowerPlayPenalty Kill
Fabian Lysell, Nikita Chibrikov, Riley TufteFabian Lysell, Riley TufteFabian Lysell
Extra Defensemen
Normal PowerPlayPenalty Kill
Nikolas Matinpalo, Jorian Donovan, Louis CrevierNikolas MatinpaloEthan Bear, Louis Crevier
Penalty Shots
Nikita Chibrikov, Alex Turcotte, Jack Finley, Fabian Lysell, Riley Tufte
Goalie
#1 : Calle Clang, #2 : Ruslan Khazheyev


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
1Americans11000000523000000000001100000052321.0005813002236236211502231971820623237114.29%40100.00%023545851.31%24146152.28%20541050.00%618238640379858435
2Bears2020000016-51010000012-11010000004-400.0001120022362363115022319718431210413133.33%5420.00%023545851.31%24146152.28%20541050.00%618238640379858435
3Bruins11000000312000000000001100000031221.00033600223623641502231971865620100.00%3166.67%123545851.31%24146152.28%20541050.00%618238640379858435
4Canucks4310000014113220000009542110000056-160.7501421350022362367515022319718642520819111.11%10370.00%023545851.31%24146152.28%20541050.00%618238640379858435
5Condors312000001115-420200000611-51100000054120.3331117280022362367215022319718902529718450.00%7442.86%023545851.31%24146152.28%20541050.00%618238640379858435
6Crunch320000101174220000006331000001054161.00011172801223623657150223197183410216411218.18%8187.50%023545851.31%24146152.28%20541050.00%618238640379858435
7Griffins1010000015-41010000015-40000000000000.000123002236236111502231971816514132150.00%3233.33%023545851.31%24146152.28%20541050.00%618238640379858435
8Gulls3020100028-62010100023-11010000005-520.333235002236236381502231971838132146200.00%80100.00%023545851.31%24146152.28%20541050.00%618238640379858435
9IceHogs10001000101100010001010000000000021.000112012236236101502231971882412000%20100.00%023545851.31%24146152.28%20541050.00%618238640379858435
10Islanders10001000431000000000001000100043121.00047110022362361315022319718361311244375.00%30100.00%123545851.31%24146152.28%20541050.00%618238640379858435
11Marlies11000000303000000000001100000030321.0003470122362361515022319718882152150.00%10100.00%023545851.31%24146152.28%20541050.00%618238640379858435
12Moose2010010015-41010000014-31000010001-110.2501230022362361115022319718216222200.00%10100.00%023545851.31%24146152.28%20541050.00%618238640379858435
13Phantoms21000100743110000004041000010034-130.75071017012236236431502231971828116227457.14%30100.00%023545851.31%24146152.28%20541050.00%618238640379858435
14Roadrunners11000000514110000005140000000000021.0005712002236236171502231971826165166350.00%000%023545851.31%24146152.28%20541050.00%618238640379858435
15Rocket1010000018-71010000018-70000000000000.0001120022362361015022319718248914100.00%20100.00%023545851.31%24146152.28%20541050.00%618238640379858435
16Silver Knights30200001612-60000000000030200001612-610.167610160022362364815022319718591624443133.33%7357.14%123545851.31%24146152.28%20541050.00%618238640379858435
17Thunderbirds10100000210-80000000000010100000210-800.000235002236236241502231971839121619500.00%3233.33%023545851.31%24146152.28%20541050.00%618238640379858435
18Wild30300000518-1320200000314-111010000024-200.000581300223623672150223197181343117543133.33%6266.67%023545851.31%24146152.28%20541050.00%618238640379858435
19Wolves1000010023-1000000000001000010023-110.500246002236236615022319718175213000%10100.00%023545851.31%24146152.28%20541050.00%618238640379858435
Total3511160331185119-341769020004056-161857013114563-18340.4868512921404223623657815022319718711229242614762330.26%772271.43%323545851.31%24146152.28%20541050.00%618238640379858435
_Since Last GM Reset3511160331185119-341769020004056-161857013114563-18340.4868512921404223623657815022319718711229242614762330.26%772271.43%323545851.31%24146152.28%20541050.00%618238640379858435
_Vs Conference23711021115683-271246020002844-161135001112839-11220.47856851410222362363921502231971847414015341938923.68%541474.07%223545851.31%24146152.28%20541050.00%618238640379858435
_Vs Division13710010113346-13645010001719-2735000111627-11190.73133518400223623623315022319718251799424222627.27%321068.75%123545851.31%24146152.28%20541050.00%618238640379858435

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3534W18512921457871122924261404
All Games
GPWLOTWOTL SOWSOLGFGA
351116331185119
Home Games
GPWLOTWOTL SOWSOLGFGA
176920004056
Visitor Games
GPWLOTWOTL SOWSOLGFGA
185713114563
Last 10 Games
WLOTWOTL SOWSOL
350200
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
762330.26%772271.43%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
150223197182236236
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
23545851.31%24146152.28%20541050.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
618238640379858435


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
13Wolf Pack3Bruins1WBox score
218Canucks4Wolf Pack6WBox score
438Wild8Wolf Pack2LBox score
549Wolf Pack2Canucks5LBox score
769Crunch3Wolf Pack4WBox score
886Wolf Pack5Crunch4WXXBox score
9100Condors5Wolf Pack2LBox score
10115Wolf Pack5Americans2WBox score
11116Wolf Pack0Gulls5LBox score
12139Wolf Pack2Wild4LBox score
13153Gulls2Wolf Pack0LBox score
14157Wolf Pack1Silver Knights3LBox score
15174Wolf Pack5Condors4WBox score
16186IceHogs0Wolf Pack1WXBox score
18217Wild6Wolf Pack1LBox score
20238Canucks1Wolf Pack3WBox score
21253Wolf Pack3Canucks1WBox score
22263Wolf Pack5Silver Knights6LXXBox score
24275Bears2Wolf Pack1LBox score
25295Wolf Pack4Islanders3WXBox score
27308Condors6Wolf Pack4LBox score
28322Wolf Pack2Thunderbirds10LBox score
29336Phantoms0Wolf Pack4WBox score
30355Wolf Pack2Wolves3LXBox score
31365Wolf Pack3Marlies0WBox score
32380Rocket8Wolf Pack1LBox score
33395Wolf Pack0Bears4LBox score
34406Gulls1Wolf Pack2WXBox score
35428Griffins5Wolf Pack1LBox score
37449Moose4Wolf Pack1LBox score
38467Wolf Pack0Moose1LXBox score
39480Wolf Pack3Phantoms4LXBox score
40490Roadrunners1Wolf Pack5WBox score
41504Wolf Pack0Silver Knights3LBox score
42522Crunch0Wolf Pack2WBox score
43539Wolf Pack-Reign-
44551Thunderbirds-Wolf Pack-
45566Wolf Pack-Monsters-
46585Crunch-Wolf Pack-
47600Wolf Pack-Rocket-
48614Islanders-Wolf Pack-
50640Americans-Wolf Pack-
51656Wolf Pack-Checkers-
52670Barracuda-Wolf Pack-
53685Wolf Pack-Wild-
54695Wolf Pack-Griffins-
55711Canucks-Wolf Pack-
57729Wolf Pack-Gulls-
58740Silver Knights-Wolf Pack-
59760Wolf Pack-Gulls-
60770Silver Knights-Wolf Pack-
62791Wolf Pack-Penguins-
64804Eagles-Wolf Pack-
65816Wolf Pack-Eagles-
66832Wolf Pack-Heat-
67841IceHogs-Wolf Pack-
68863Senators-Wolf Pack-
70879Wolf Pack-Senators-
71894Wolves-Wolf Pack-
73911Wolf Pack-Admirals-
74923Wolf Pack-Canucks-
75937Heat-Wolf Pack-
76955Marlies-Wolf Pack-
79975Monsters-Wolf Pack-
80989Wolf Pack-Stars-
811001Wolf Pack-Admirals-
821018Admirals-Wolf Pack-
831035Wolf Pack-Barracuda-
851049Comets-Wolf Pack-
861069Bruins-Wolf Pack-
881094Stars-Wolf Pack-
901113Wolf Pack-Condors-
911128Reign-Wolf Pack-
921136Wolf Pack-IceHogs-
941157Wolf Pack-Crunch-
951169Checkers-Wolf Pack-
961188Wolf Pack-Comets-
Trade Deadline --- Trades can’t be done after this day is simulated!
981199Wild-Wolf Pack-
991222Bruins-Wolf Pack-
1021246Monsters-Wolf Pack-
1031263Wolf Pack-Condors-
1041265Wolf Pack-Roadrunners-
1061287Penguins-Wolf Pack-
1071297Wolf Pack-Bruins-
1091316Penguins-Wolf Pack-
1101327Wolf Pack-Bruins-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance24,03812,792
Attendance PCT70.70%75.25%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
26 2166 - 72.22% 90,558$1,539,484$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
1,339,801$ 2,675,200$ 2,675,200$ 1,000,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
23,886$ 964,813$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,354,505$ 70 32,814$ 2,296,980$




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

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

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