Out of Date Version of the STHS! Please update your version!
Login

Wolves
GP: 82 | W: 55 | L: 24 | OTL: 3 | P: 113
GF: 313 | GA: 185 | PP%: 15.95% | PK%: 86.06%
GM : Neil | Morale : 50 | Team Overall : 62
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Checkers
53-24-5, 111pts
4
FINAL
3 Wolves
55-24-3, 113pts
Team Stats
W6StreakL4
27-11-3Home Record28-12-1
26-13-2Away Record27-12-2
8-2-0Last 10 Games2-7-1
3.82Goals Per Game3.82
2.38Goals Against Per Game2.26
14.74%Power Play Percentage15.95%
85.93%Penalty Kill Percentage86.06%
Moose
52-27-3, 107pts
5
FINAL
1 Wolves
55-24-3, 113pts
Team Stats
W1StreakL4
26-14-1Home Record28-12-1
26-13-2Away Record27-12-2
7-3-0Last 10 Games2-7-1
3.45Goals Per Game3.82
2.09Goals Against Per Game2.26
14.36%Power Play Percentage15.95%
87.70%Penalty Kill Percentage86.06%
Team Leaders
Goals
Jayden Struble
32
Assists
Jayden Struble
57
Points
Jayden Struble
89
Plus/Minus
James Malatesta
52
Wins
Devon Levi
55
Save Percentage
Devon Levi
0.896

Team Stats
Goals For
313
3.82 GFG
Shots For
2314
28.22 Avg
Power Play Percentage
15.9%
63 GF
Offensive Zone Start
40.9%
Goals Against
185
2.26 GAA
Shots Against
1726
21.05 Avg
Penalty Kill Percentage
86.1%%
35 GA
Defensive Zone Start
36.7%
Team Info

General ManagerNeil
CoachDallas Eakins
DivisionAtlantic
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,876
Season Tickets0


Roster Info

Pro Team28
Farm Team19
Contract Limit47 / 51
Prospects49


Team History

This Season55-24-3 (113PTS)
History108-40-7 (0.697%)
Playoff Appearances1
Playoff Record (W-L)0-0
Stanley Cup0


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
1William EklundX100.0065418880637988844678727253565675507102222,750,000$
2Logan Stankoven (R)XX100.007141948058687374587676662546467550670223880,000$
3James Malatesta (R)X100.0099978666655669682564716425454571506302131,400,009$
4Daniil Gushchin (R)X100.006758876758788167506565616244446750620221902,500$
5Adam EdstromXX100.009247936380516365255071652545456850610243846,667$
6Fabian Lysell (R)X100.0068628162627071655065626159444464506102221,034,167$
7Nikita Chibrikov (R)XX100.006762786162707262506061605844446250590223925,000$
8Jackson LaCombe (R)X100.0069438979757873672555489025535364507002421,387,500$
9Ty EmbersonX100.0096479366717666642564488225464666506702431,100,000$
10Philip BrobergX100.0061429983765774642552477625555662506602311,713,333$
11Louis Crevier (R)X100.007845946484677964255047832546466250660243775,000$
12Isaak PhillipsX100.008245816472717964255347832549496350660232925,000$
13Jayden StrubleX100.008757727775697163255048732550506150660232925,000$
14Kaedan KorczakX100.008245907373697265256448712547476350650243975,000$
15Logan Mailloux (R)X100.007782666482707360255253655044446050620223902,500$
16Daemon Hunt (R)X100.006942996771577762254747732545455950620222902,500$
Scratches
1Carter Mazur (R)X100.006864776264656662505863616044446350590233925,000$
2Brett Berard (R)X100.006256756656707262505665586244446350590223925,000$
3Viktor Neuchev (R)X100.007263946463636559505658625544446150580213950,000$
4Samuel Helenius (R)X100.007979786379758151644750634844445850580221925,000$
5Chaz Lucius (R)X100.0075698963694542607566506448444459505702231,294,167$
6Ethan Del Mastro (R)X100.008080796380677154255143654144445650610223902,500$
7Jack Thompson (R)X100.007365916865788455255442614044445850610232902,500$
8Stanislav Svozil (R)X100.007368866768616451254741603944445450571222880,000$
9Albert Johansson (R)X100.006762806562707649254042574044445350560242919,167$
TEAM AVERAGE100.00755886686967726237575568404646635062
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
1Hunter Shepard100.00665164776971727576759544447050670291525,000$
2Devon Levi100.006556556773566965656475464664506212321,566,667$
Scratches
1Dustin Wolf (R)100.00606562556554696165607545456250590241813,333$
TEAM AVERAGE100.0064576066696070676966824545655063
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Dallas Eakins82837779817667USA551550,000$


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
1Jayden StrubleWolves (CAR)D8232578936156102621022356316413.62%102179421.891712291573120110147710.00%000000.9900011757
2Philip BrobergWolves (CAR)D8215536832395951031313410411.45%78154118.807916862650110127510.00%000000.8800001413
3James MalatestaWolves (CAR)LW67273764528410163982176115712.44%5113616.974913231530000117142.72%106500011.1311110546
4Nikita ChibrikovWolves (CAR)LW/RW822833614415550982466716511.38%17130715.9535819172000102248.68%7600010.9301001253
5Daniil GushchinWolves (CAR)LW8231306149275801071574211619.75%12102812.551231200000224156.43%96400011.1911100262
6Kaedan KorczakWolves (CAR)D72852604784101796656203914.29%69114715.940551259000021200.00%000001.0500001113
7Logan StankovenWolves (CAR)C/RW383029593918079982156115713.95%786722.8348123813610111904361.54%67600021.3613000746
8Samuel HeleniusWolves (CAR)C6321264710159351371071394811315.11%14104616.612138511011595262.89%77600000.9000223242
9William EklundWolves (CAR)LW212124453460193594256822.34%247922.8536912562246814056.77%19200021.8800000723
10Isaak PhillipsWolves (CAR)D311127383626039294473025.00%2066621.496392781011085200.00%000001.1400000242
11Louis CrevierWolves (CAR)D3910192926280712443133423.26%2876319.58461023118011093100.00%100010.7600000221
12Adam EdstromWolves (CAR)C/LW4913112417500702480346816.25%253210.8800000000005131.58%1900010.9000000101
13Fabian LysellWolves (CAR)RW2771724351753383583720.00%147917.78066569000000066.67%1800001.0000100112
14Jackson LaCombeWolves (CAR)D8459520881971021.05%518423.073251121000031100.00%000000.9800000020
15Carter MazurWolves (CAR)LW2104410951138130.00%01095.220001140000100076.92%1300000.7300001001
Team Total or Average7642584246824727209012969101719491126515.01%3621308817.1354741284231536461019782491254.66%380000091.0436548434142
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
1Devon LeviWolves (CAR)82552430.8962.14479141617116410810.85714820355
2Dustin WolfWolves (CAR)40000.8963.04138007670000.00%0075000
Team Total or Average86552430.8962.1749304161781708081148275355


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
Adam EdstromWolves (CAR)C/LW242000-10-12No209 Lbs6 ft6NoNoNo3Pro & Farm846,667$0$0$No846,667$846,667$Link
Albert JohanssonWolves (CAR)D242001-04-01Yes168 Lbs6 ft0NoNoNo2Pro & Farm919,167$0$0$No919,167$Link
Brett BerardWolves (CAR)LW222002-09-09Yes155 Lbs5 ft9NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Link
Carter MazurWolves (CAR)LW232002-03-28Yes170 Lbs6 ft0NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Link
Chaz LuciusWolves (CAR)C222003-02-05Yes185 Lbs6 ft1NoNoNo3Pro & Farm1,294,167$0$0$No1,294,167$1,294,167$Link
Daemon HuntWolves (CAR)D222002-05-15Yes198 Lbs6 ft0NoNoNo2Pro & Farm902,500$0$0$No902,500$Link
Daniil GushchinWolves (CAR)LW222002-06-02Yes165 Lbs5 ft8NoNoNo1Pro & Farm902,500$0$0$NoLink
Devon LeviWolves (CAR)G232001-12-27No183 Lbs6 ft0NoNoNo2Pro & Farm1,566,667$0$0$No1,566,667$Link
Dustin WolfWolves (CAR)G242001-04-16Yes154 Lbs6 ft0NoNoNo1Pro & Farm813,333$0$0$NoLink
Ethan Del MastroWolves (CAR)D222003-01-15Yes210 Lbs6 ft4NoNoNo3Pro & Farm902,500$0$0$No902,500$902,500$Link
Fabian LysellWolves (CAR)RW222003-01-19Yes172 Lbs5 ft10NoNoNo2Pro & Farm1,034,167$0$0$No1,034,167$Link
Hunter ShepardWolves (CAR)G291995-11-07No209 Lbs6 ft1NoNoNo1Pro & Farm525,000$0$0$NoLink
Isaak PhillipsWolves (CAR)D232001-09-28No194 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$Link
Jack ThompsonWolves (CAR)D232002-03-19Yes178 Lbs6 ft0NoNoNo2Pro & Farm902,500$0$0$No902,500$Link
Jackson LaCombeWolves (CAR)D242001-01-09Yes200 Lbs6 ft2NoNoNo2Pro & Farm1,387,500$0$0$No1,387,500$Link
James MalatestaWolves (CAR)LW212003-05-31Yes178 Lbs5 ft9YesNoNo3Pro & Farm1,400,009$0$0$No1,400,009$1,400,009$Link
Jayden StrubleWolves (CAR)D232001-09-08No205 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$Link
Kaedan KorczakWolves (CAR)D242001-01-29No191 Lbs6 ft3NoNoNo3Pro & Farm975,000$0$0$No975,000$975,000$Link
Logan MaillouxWolves (CAR)D222003-04-15Yes220 Lbs6 ft3NoNoNo3Pro & Farm902,500$0$0$No902,500$902,500$Link
Logan StankovenWolves (CAR)C/RW222003-02-26Yes169 Lbs5 ft8NoNoNo3Pro & Farm880,000$0$0$No880,000$880,000$Link
Louis CrevierWolves (CAR)D242001-04-05Yes213 Lbs6 ft8NoNoNo3Pro & Farm775,000$0$0$No775,000$775,000$Link
Nikita ChibrikovWolves (CAR)LW/RW222003-02-16Yes170 Lbs5 ft10NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Link
Philip BrobergWolves (CAR)D232001-06-25No200 Lbs6 ft3NoNoNo1Pro & Farm1,713,333$0$0$NoLink
Samuel HeleniusWolves (CAR)C222002-11-26Yes201 Lbs6 ft6NoNoNo1Pro & Farm925,000$0$0$NoLink
Stanislav SvozilWolves (CAR)D222003-01-17Yes182 Lbs6 ft1NoNoNo2Pro & Farm880,000$0$0$No880,000$Link
Ty EmbersonWolves (CAR)D242000-05-24No194 Lbs6 ft1NoNoNo3Pro & Farm1,100,000$0$0$No1,100,000$1,100,000$Link
Viktor NeuchevWolves (CAR)LW212003-11-25Yes172 Lbs5 ft11NoNoNo3Pro & Farm950,000$0$0$No950,000$950,000$Link
William EklundWolves (CAR)LW222002-12-10No176 Lbs5 ft10NoNoNo2Pro & Farm2,750,000$0$0$No2,750,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2822.89186 Lbs6 ft12.291,066,875$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
2Nikita Chibrikov30122
3Daniil Gushchin20122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jayden Struble40122
2Philip Broberg30122
320122
4Jayden Struble10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
2Nikita Chibrikov40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jayden Struble60122
2Philip Broberg40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jayden Struble60122
2Philip Broberg40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Jayden Struble60122
240122Philip Broberg40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jayden Struble60122
2Philip Broberg40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jayden Struble
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jayden Struble
Extra Forwards
Normal PowerPlayPenalty Kill
, Daniil Gushchin, , Daniil Gushchin
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : Devon Levi, #2 :
Custom OT Lines Forwards
, , , , , Daniil Gushchin, Daniil Gushchin, , , , Nikita Chibrikov
Custom OT Lines Defensemen
Jayden Struble, , , Philip Broberg,


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
1 Americans21100000945110000007161010000023-120.5009162500131978144882277570329509153015213.33%4250.00%0980221544.24%676199033.97%560121046.28%222516751815508905475
2Admirals2200000014113110000007071100000071641.00014223601131978148782277570329481113297114.29%40100.00%0980221544.24%676199033.97%560121046.28%222516751815508905475
3Barracuda33000000734220000005231100000021161.00071017001319781465822775703293715412913215.38%14285.71%0980221544.24%676199033.97%560121046.28%222516751815508905475
4Bears440000002681822000000174132200000094581.000264672011319781417682277570329621920809333.33%10190.00%0980221544.24%676199033.97%560121046.28%222516751815508905475
5Bruins42100001880211000003302100000155050.62581523001319781482822775703298519475517317.65%15473.33%0980221544.24%676199033.97%560121046.28%222516751815508905475
6Canucks2110000068-2110000004311010000025-320.50061117001319781443822775703294918122016212.50%6183.33%0980221544.24%676199033.97%560121046.28%222516751815508905475
7Checkers41300000815-72110000064220200000211-920.250813210113197814858227757032913230265819526.32%13192.31%1980221544.24%676199033.97%560121046.28%222516751815508905475
8Comets2010001045-11010000024-21000001021120.500461000131978144182277570329439161910220.00%60100.00%0980221544.24%676199033.97%560121046.28%222516751815508905475
9Condors2020000029-71010000017-61010000012-100.00023500131978144482277570329531016461616.25%8187.50%0980221544.24%676199033.97%560121046.28%222516751815508905475
10Crunch2110000035-21010000014-31100000021120.500358001319781442822775703293311163720315.00%8275.00%0980221544.24%676199033.97%560121046.28%222516751815508905475
11Eagles21000010853110000004221000001043141.0008111900131978145582277570329437225217423.53%110100.00%0980221544.24%676199033.97%560121046.28%222516751815508905475
12Firebirds2200000015114110000009091100000061541.000152641011319781480822775703293481137200.00%30100.00%0980221544.24%676199033.97%560121046.28%222516751815508905475
13Griffins2010010057-21000010023-11010000034-110.2505712001319781436822775703297624143310220.00%70100.00%0980221544.24%676199033.97%560121046.28%222516751815508905475
14Gulls22000000853110000003211100000053241.00081422001319781476822775703293410242100.00%10100.00%0980221544.24%676199033.97%560121046.28%222516751815508905475
15Ice Hogs220000001601611000000100101100000060641.0001625410213197814124822775703291790365240.00%000.00%0980221544.24%676199033.97%560121046.28%222516751815508905475
16Islanders660000004544122000000161154400000029326121.000458412903131978142468227757032950173011113430.77%150100.00%2980221544.24%676199033.97%560121046.28%222516751815508905475
17Marlies321000008711010000014-32200000073440.66781119011319781472822775703296118145427311.11%7185.71%0980221544.24%676199033.97%560121046.28%222516751815508905475
18Monsters22000000624110000004131100000021141.000610160013197814458227757032954812341317.69%60100.00%0980221544.24%676199033.97%560121046.28%222516751815508905475
19Moose2010000127-51010000015-41000000112-110.2502350013197814428227757032943138221218.33%4175.00%0980221544.24%676199033.97%560121046.28%222516751815508905475
20Penguins4220000013130211000007612110000067-140.500132437101319781496822775703298628367414214.29%17570.59%0980221544.24%676199033.97%560121046.28%222516751815508905475
21Phantoms412010001015-52010100044021100000611-540.5001016260013197814628227757032914227667018316.67%19289.47%0980221544.24%676199033.97%560121046.28%222516751815508905475
22Reign22000000734110000002021100000053241.000791601131978146682277570329411210361317.69%30100.00%0980221544.24%676199033.97%560121046.28%222516751815508905475
23Roadrunners22000000404110000003031100000010141.00046100213197814438227757032944142443900.00%120100.00%1980221544.24%676199033.97%560121046.28%222516751815508905475
24Rocket3110001011101211000005501000001065140.66711122300131978146382277570329851625431516.67%10460.00%0980221544.24%676199033.97%560121046.28%222516751815508905475
25Senators2200000013013110000008081100000050541.000132336021319781497822775703292128376116.67%40100.00%0980221544.24%676199033.97%560121046.28%222516751815508905475
26Silver Knights3120000010912110000010821010000001-120.333101727001319781472822775703295620344714321.43%15286.67%1980221544.24%676199033.97%560121046.28%222516751815508905475
27Stars2200000013211110000004221100000090941.000132134011319781499822775703292751150600.00%2150.00%0980221544.24%676199033.97%560121046.28%222516751815508905475
28Thunderbirds22000000734110000003211100000041341.0007121900131978144282277570329371222357228.57%9188.89%0980221544.24%676199033.97%560121046.28%222516751815508905475
29Wild20200000411-71010000026-41010000025-300.0004610001319781430822775703295315133111218.18%30100.00%0980221544.24%676199033.97%560121046.28%222516751815508905475
30Wolf Pack4310000014862200000010462110000044060.7501422360013197814112822775703298120207229413.79%8275.00%0980221544.24%676199033.97%560121046.28%222516751815508905475
31Wranglers21100000770110000004221010000035-220.50071017001319781443822775703294920144211327.27%7271.43%0980221544.24%676199033.97%560121046.28%222516751815508905475
Total825124011323131851284127120110016589764124120003214896521130.68931351682911613197814231482277570329172645661814043956315.95%2513586.06%5980221544.24%676199033.97%560121046.28%222516751815508905475
_Since Last GM Reset825124011323131851284127120110016589764124120003214896521130.68931351682911613197814231482277570329172645661814043956315.95%2513586.06%5980221544.24%676199033.97%560121046.28%222516751815508905475
_Vs Conference482815011211801156523138011009050402515700021906525640.667180305485181319781412988227757032910602663627972363916.53%1512384.77%3980221544.24%676199033.97%560121046.28%222516751815508905475
_Vs Division261990100111855631294010006024361410500001583127410.7881182083261413197814778822775703295181282004601061917.92%811087.65%2980221544.24%676199033.97%560121046.28%222516751815508905475

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
82113L4313516829231417264566181404116
All Games
GPWLOTWOTL SOWSOLGFGA
8251241132313185
Home Games
GPWLOTWOTL SOWSOLGFGA
412712110016589
Visitor Games
GPWLOTWOTL SOWSOLGFGA
412412003214896
Last 10 Games
WLOTWOTL SOWSOL
170110
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3956315.95%2513586.06%5
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
8227757032913197814
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
980221544.24%676199033.97%560121046.28%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
222516751815508905475


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
2 - 2024-10-1913Checkers0Wolves3BWBoxScore
4 - 2024-10-2132Islanders0Wolves6BWBoxScore
6 - 2024-10-2346Wolves7Islanders0AWBoxScore
9 - 2024-10-2665Rocket1Wolves4BWBoxScore
12 - 2024-10-2986Wolves5Phantoms1AWBoxScore
14 - 2024-10-31101Penguins2Wolves5BWBoxScore
15 - 2024-11-01116Wolves2Bruins1AWBoxScore
18 - 2024-11-04132Barracuda1Wolves2BWBoxScore
21 - 2024-11-07151Wolves8Islanders0AWBoxScore
23 - 2024-11-09160Wolves3Bears0AWBoxScore
24 - 2024-11-10174Bears3Wolves10BWBoxScore
27 - 2024-11-13195Silver Knights4Wolves8BWBoxScore
28 - 2024-11-14199Wolves3Marlies0AWBoxScore
31 - 2024-11-17222Wolves5Islanders1AWBoxScore
33 - 2024-11-19236Roadrunners0Wolves3BWBoxScore
37 - 2024-11-23257Wolves4Penguins3AWBoxScore
39 - 2024-11-25270Stars2Wolves4BWBoxScore
42 - 2024-11-28292Admirals0Wolves7BWBoxScore
44 - 2024-11-30317 Americans1Wolves7BWBoxScore
46 - 2024-12-02327Wolves2Crunch1AWBoxScore
49 - 2024-12-05354Islanders1Wolves10BWBoxScore
51 - 2024-12-07369Wolves4Thunderbirds1AWBoxScore
53 - 2024-12-09385Firebirds0Wolves9BWBoxScore
57 - 2024-12-13415Senators0Wolves8BWBoxScore
59 - 2024-12-15430Wolves4Eagles3AWXXBoxScore
61 - 2024-12-17442Wolves3Bruins4ALXXBoxScore
63 - 2024-12-19450Silver Knights4Wolves2BLBoxScore
66 - 2024-12-22474Wolves1Roadrunners0AWBoxScore
67 - 2024-12-23484Ice Hogs0Wolves10BWBoxScore
70 - 2024-12-26502Wolves1Wolf Pack2ALBoxScore
72 - 2024-12-28516Reign0Wolves2BWBoxScore
75 - 2024-12-31537Wolves4Marlies3AWBoxScore
76 - 2025-01-01549Bruins1Wolves3BWBoxScore
79 - 2025-01-04576Wolves2Canucks5ALBoxScore
81 - 2025-01-06582Thunderbirds2Wolves3BWBoxScore
83 - 2025-01-08593Wolves9Islanders2AWBoxScore
85 - 2025-01-10611Crunch4Wolves1BLBoxScore
87 - 2025-01-12624Wolves1Moose2ALXXBoxScore
89 - 2025-01-14642Wolf Pack2Wolves6BWBoxScore
94 - 2025-01-19670Wolves6Ice Hogs0AWBoxScore
95 - 2025-01-20677Monsters1Wolves4BWBoxScore
98 - 2025-01-23696Wolves7Admirals1AWBoxScore
99 - 2025-01-24709Wolf Pack2Wolves4BWBoxScore
102 - 2025-01-27728Wolves2Barracuda1AWBoxScore
104 - 2025-01-29736Wolves5Reign3AWBoxScore
105 - 2025-01-30747Eagles2Wolves4BWBoxScore
108 - 2025-02-02763Wolves9Stars0AWBoxScore
109 - 2025-02-03780Condors7Wolves1BLBoxScore
112 - 2025-02-06801Wolves5Senators0AWBoxScore
113 - 2025-02-07810Canucks3Wolves4BWBoxScore
116 - 2025-02-10831Wolves5Gulls3AWBoxScore
117 - 2025-02-11840Wranglers2Wolves4BWBoxScore
121 - 2025-02-15866Phantoms2Wolves3BWXBoxScore
123 - 2025-02-17882Wolves2Monsters1AWBoxScore
125 - 2025-02-19898Marlies4Wolves1BLBoxScore
126 - 2025-02-20912Wolves3Wranglers5ALBoxScore
128 - 2025-02-22925Wolves6Bears4AWBoxScore
130 - 2025-02-24938Comets4Wolves2BLBoxScore
134 - 2025-02-28962Wild6Wolves2BLBoxScore
138 - 2025-03-04991Wolves2Comets1AWXXBoxScore
139 - 2025-03-05997Rocket4Wolves1BLBoxScore
143 - 2025-03-091018Wolves0Silver Knights1ALBoxScore
145 - 2025-03-111031Gulls2Wolves3BWBoxScore
146 - 2025-03-121047Wolves1Condors2ALBoxScore
148 - 2025-03-141061Penguins4Wolves2BLBoxScore
150 - 2025-03-161075Wolves3Griffins4ALBoxScore
152 - 2025-03-181092Phantoms2Wolves1BLBoxScore
154 - 2025-03-201110Wolves2Wild5ALBoxScore
155 - 2025-03-211122Bears1Wolves7BWBoxScore
156 - 2025-03-221131Wolves3Wolf Pack2AWBoxScore
158 - 2025-03-241146Wolves0Checkers6ALBoxScore
160 - 2025-03-261159Barracuda1Wolves3BWBoxScore
163 - 2025-03-291176Wolves2Checkers5ALBoxScore
164 - 2025-03-301187Wolves2Penguins4ALBoxScore
166 - 2025-04-011200Bruins2Wolves0BLBoxScore
168 - 2025-04-031217Wolves6Firebirds1AWBoxScore
170 - 2025-04-051228Griffins3Wolves2BLXBoxScore
173 - 2025-04-081248Wolves6Rocket5AWXXBoxScore
174 - 2025-04-091255Wolves1Phantoms10ALBoxScore
176 - 2025-04-111265Wolves2 Americans3ALBoxScore
178 - 2025-04-131280Checkers4Wolves3BLBoxScore
182 - 2025-04-171297Moose5Wolves1BLBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price500
Attendance79,19638,718
Attendance PCT96.58%94.43%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2876 - 95.87% 96,580$3,959,800$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
3,450,712$ 2,987,252$ 2,987,252$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
16,060$ 2,900,711$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 19,017$ 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
1William Eklund936078138101306911632318.58%15163917.638132134224611159.5431.6800
2Philip Broberg15429109138695914114622412.95%129283018.381425391451121720.00%00.9800
3Daniil Gushchin15465651301065915019736517.81%20196312.75123101128256.3531.3211
4Isaak Phillips10326100126861342939017614.77%101224021.751518331040331410.00%01.1200
5Jayden Struble823257893615626210223513.62%102179421.891712291570110710.00%00.9900

Wolves Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Devon Levi82552430.8962.14479141617116410810.85714
2Hugo Alnefelt72521330.8892.1841248515013490300.6673
3Dustin Wolf40000.8963.04138007670000.00%0

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
Regular Season
2023725016032013601701903627701001188771113623902200172937910936060996905142129863224871075177416144943762914232346527.78%2824484.40%4968187551.63%653160140.79%542112948.01%220817251363385766433
20248251240113231318512841271201100165897641241200032148965211331351682911613197814231482277570329172645661814043956315.95%2513586.06%5980221544.24%676199033.97%560121046.28%222516751815508905475
Total Regular Season1541014004333673355318775419021013531661877747210223232018913122267311251798121273226167745621532152614774531758931247282762912820.35%5337985.18%91948409047.63%1329359137.01%1102233947.11%4433340031798941671909
Playoff
Total Playoff0000000000000000000000000000000000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

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