WolvesChicago Wolves
39-36-7, 85pts · 10th in Eastern Conference
Roster
Player POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD MO OV AGE CONTRACT AGE CONTRACT
Carson Meyer (R)RW100.00723780477483764855484757636567585225700,000$/1yrs
Matt MoulsonLW100.00693381437885704268464461667984665239800,000$/1yrs
Joe Snively (R) (A)C100.00563682477386784856505057626668665227700,000$/1yrs
Alexander TrueC100.00773682428980874170454567636567665125800,000$/1yrs
Brett Leason (R)RW100.00573795487775804860484859626365595123800,000$/2yrs
Alex NylanderRW100.00603794447687954462444758676466665025800,000$/1yrs
Alex LimogesLW100.00663893417880864164434660656667635025100,000$/8yrs
Brandon BiroLW100.00673688436680724266474461626466665025100,000$/8yrs
Luke PhilpRW100.00593791426977814258444662636769665027100,000$/8yrs
Marc MichaelisLW100.00663684407077684056444466636769405027700,000$/1yrs
Devante Smith-PellyRW100.00703892387961763851414365537072434930600,000$/1yrs
Brian HalonenLW100.00673883367681663551394057526365214724800,000$/2yrs
Hunter DrewD100.00763458347978863330444569516466665124700,000$/1yrs
Jack AhcanD100.00633592346785763330444466536567565025100,000$/8yrs
Leon GawankeD100.00663884347577893430454265526365665023100,000$/8yrs
Andreas Englund (R)D100.00724661318163853130413862456668254927100,000$/8yrs
Gustav Olofsson (A)D100.00714078328069713130413964466870534928100,000$/8yrs
Logan DayD100.00633986327973893230414065476867674928700,000$/1yrs
Scratches
Josh DickinsonC100.00693977387875763861414260536567204825600,000$/1yrs
Jakub Pour (R)RW100.00743486378369723655394260586365204823100,000$/8yrs
Jordan Kawaguchi (R)C100.00573683396675773868444161566567204825100,000$/8yrs
Justin AlmeidaLW100.00563593366571743656384059566362204624100,000$/8yrs
Lukas Rousek (R)RW100.00583692366874653652413960596365204623100,000$/8yrs
Jeremy McKennaRW100.00563789356572663454393857576365204523600,000$/1yrs
Michael KrutilD100.00763889308467723130383861455959204820100,000$/8yrs
Matthew Kessel (R)D100.00723883318166643030403862456264204822100,000$/8yrs
Filter Tips
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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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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 CON SK DU EN SZ AG RB SC HS RT PH PS EX LD MO OV AGE CONTRACT CONTRACT
Josef Korenar98.0074827490717373747472726471396325800,000$/1yrs
Matthew Murray100.0070817090667071696868676471436025700,000$/1yrs
Scratches
Francis Marotte99.0066727090656668656564656777245827600,000$/1yrs
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jack Capuano74656564837765USA562200,000$
General Manager
Player Stats
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
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# Player Name Team Name# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Alexander TrueWolvesWolves (CAR)C82254166-10340184255681919.80%2922.:.463580111462049.77%266000000.7102
2Joe SnivelyWolvesWolves (CAR)C82273865-81001102486516910.89%1219.:.46710170001025241.79%211300000.8011
3Carson MeyerWolvesWolves (CAR)RW80253358-11200113272741949.19%1420.:.4523500003338.76%12900010.7026
4Matt MoulsonWolvesWolves (CAR)LW80133851-14180140254731655.12%2523.:.232680111526050.55%27500000.5506
5Alex NylanderWolvesWolves (CAR)RW82162541110086197401498.12%717.:.3341014000203348.70%11500000.5700
6Hunter DrewWolvesWolves (CAR)D82112738-862026811140779.91%12823.:.54134000114210.00%000000.3900
7Brandon BiroWolvesWolves (CAR)LW821518339409816343919.20%1112.:.1300000020147.56%8200000.6600
8Leon GawankeWolvesWolves (CAR)D82102232-1522011361234916.39%9820.:.28358101113110.00%000000.3800
9Luke PhilpWolvesWolves (CAR)RW821019291204112031848.33%611.:.2800000092040.23%8700000.6200
10Marc MichaelisWolvesWolves (CAR)LW7712132556068119297510.08%1110.:.3000000002244.89%96900000.6200
11Logan DayWolvesWolves (CAR)D82419238215974412279.09%8615.:.3000000011000.00%000000.3600
12Jack AhcanWolvesWolves (CAR)D82516217280886511377.69%10318.:.1802200078000.00%000000.2800
13Brett LeasonWolvesWolves (CAR)RW78101020-3203110236739.80%808.:.1011200021043.74%58300000.6300
14Gustav OlofssonWolvesWolves (CAR)D7421315-144551484312374.65%10019.:.3702200087000.00%000000.2100
15Alex LimogesWolvesWolves (CAR)LW8241014-4135616519586.15%807.:.41011000411046.30%5400000.4400
16Devante Smith-PellyWolvesWolves (CAR)RW72527340495914358.47%605.:.4300000000143.48%2300000.3400
17Andreas EnglundWolvesWolves (CAR)D2911231003013397.69%2315.:.1700000036000.00%000000.0900
18Jakub PourWolvesWolves (CAR)RW10112-300870414.29%105.:.0000000000033.33%2700000.8000
19Brian HalonenWolvesWolves (CAR)LW400000093020.00%113.:.0500000000066.67%300000.0000
20Josh DickinsonWolvesWolves (CAR)C500014065120.00%011.:.2900000000049.37%7900000.0000
21Jordan KawaguchiWolvesWolves (CAR)C5000-20046120.00%007.:.1400000000048.78%4100000.0000
Team Total or Average1334196346542-54315151752221259515308.86%67716.042348711341123921281445.87%724000010.51315
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
1Matthew MurrayWolvesWolves (CAR)381917291.7%2.6522396199118700185.7%73731411
2Josef KorenarWolvesWolves (CAR)421717590.2%3.23239641129132301084.6%134018532
3Francis MarotteWolvesWolves (CAR)732093.3%2.2332300121780000.0%0533001
Team Total or Average87393670.9112.90495810224026880110.850208282944

Lines
Forward Lines


# - Brian Halonen


# - Alexander True


# - Carson Meyer


# - Matt Moulson


# - Joe Snively


# - Alex Nylander


# - Brandon Biro


# - Marc Michaelis


# - Luke Philp


# - Alex Limoges


# - Brett Leason


# - Devante Smith-Pelly

Defensive Pairings


# - Andreas Englund


# - Hunter Drew


# - Leon Gawanke


# - Gustav Olofsson


# - Jack Ahcan


# - Logan Day

1st Power Play Unit


# - Matt Moulson


# - Alexander True


# - Carson Meyer


# - Andreas Englund


# - Hunter Drew

2nd Power Play Unit


# - Brandon Biro


# - Joe Snively


# - Alex Nylander


# - Leon Gawanke


# - Gustav Olofsson

Goalies


# - Josef Korenar


# - Matthew Murray

Team Stats
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
# VS Team 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 GF% SH% SV% PDO PDOBRK
1WolvesPenguins413000001114-320.25011203100907361111318468308595414151227711327.27%11463.64%01355293846.12%1365300345.45%657135248.59%183211751945674119058544.4%8.4%90.1%98.5Unlucky
2WolvesIslanders43100000118360.75011203100907361111358468308595490291610411218.18%8362.50%01355293846.12%1365300345.45%657135248.59%183211751945674119058564.3%8.1%91.1%99.3Unlucky
3WolvesWolf Pack411002001314-140.5001323360090736111105846830859541574516919222.22%8275.00%01355293846.12%1365300345.45%657135248.59%183211751945674119058547.8%12.4%91.1%103.5Unlucky
4WolvesComets43100000139460.750132538009073611113284683085954122361398800.00%40100.00%01355293846.12%1365300345.45%657135248.59%183211751945674119058559.1%9.8%92.6%102.5LUCKY
5WolvesPhantoms42100100118350.62511203100907361111168468308595411336168511218.18%80100.00%01355293846.12%1365300345.45%657135248.59%183211751945674119058552.9%9.5%92.9%102.4LUCKY
6WolvesCrunch3030000049-500.00047110090736111114846830859545525176910220.00%5180.00%01355293846.12%1365300345.45%657135248.59%183211751945674119058520.0%3.5%83.6%87.1Unlucky
7WolvesMoose2110000066020.50061218009073611170846830859546415047500.00%000.00%01355293846.12%1365300345.45%657135248.59%183211751945674119058550.0%8.6%90.6%99.2Unlucky
8WolvesBears30300000411-700.0004711009073611177846830859549744268600.00%10100.00%11355293846.12%1365300345.45%657135248.59%183211751945674119058526.7%5.2%88.7%93.9Unlucky
9WolvesCheckers3110100076140.66771219009073611192846830859548519883400.00%40100.00%01355293846.12%1365300345.45%657135248.59%183211751945674119058553.8%7.6%92.9%100.5DULL
10WolvesBruins32000100108250.83310182800907361119984683085954100234774250.00%20100.00%01355293846.12%1365300345.45%657135248.59%183211751945674119058550.0%10.1%92.0%102.1LUCKY
11WolvesSenators3210000099040.6679162500907361118184683085954116441476600.00%60100.00%01355293846.12%1365300345.45%657135248.59%183211751945674119058550.0%11.1%92.2%103.4LUCKY
12WolvesRocket3120000079-220.3337111800907361111038468308595410934146810110.00%7271.43%01355293846.12%1365300345.45%657135248.59%183211751945674119058546.2%6.8%91.7%98.5DULL
13WolvesAmericans3110010068-230.500612180090736111938468308595484301683800.00%7185.71%01355293846.12%1365300345.45%657135248.59%183211751945674119058546.2%6.5%90.5%96.9Unlucky
14WolvesMarlies30300000416-1200.000471100907361117484683085954129292268500.00%11554.55%01355293846.12%1365300345.45%657135248.59%183211751945674119058526.7%5.4%87.6%93.0Unlucky
15WolvesThunderbirds20200000612-600.0006111710907361115584683085954952412556233.33%6183.33%01355293846.12%1365300345.45%657135248.59%183211751945674119058526.7%10.9%87.4%98.3FUN
16WolvesGriffins33000000124861.000122436009073611110684683085954813416747228.57%8187.50%01355293846.12%1365300345.45%657135248.59%183211751945674119058576.9%11.3%95.1%106.4LUCKY
17WolvesIceHogs22000000106441.0001020300090736111628468308595459236527342.86%30100.00%01355293846.12%1365300345.45%657135248.59%183211751945674119058553.8%16.1%89.8%106.0FUN
18WolvesMonsters32000010117461.000111930009073611197846830859541134018714125.00%9277.78%01355293846.12%1365300345.45%657135248.59%183211751945674119058566.7%11.3%93.8%105.1LUCKY
19WolvesAdmirals2100010086230.750814220090736111538468308595469191653100.00%8275.00%01355293846.12%1365300345.45%657135248.59%183211751945674119058566.7%15.1%91.3%106.4LUCKY
20WolvesWild2000001155030.7505712009073611166846830859549327646200.00%30100.00%01355293846.12%1365300345.45%657135248.59%183211751945674119058550.0%7.6%94.6%102.2DULL
21WolvesCondors2020000037-400.00035800907361114684683085954651012294250.00%6183.33%01355293846.12%1365300345.45%657135248.59%183211751945674119058514.3%6.5%89.2%95.8Unlucky
22WolvesHeat2110000067-120.500611170090736111748468308595460121443400.00%70100.00%01355293846.12%1365300345.45%657135248.59%183211751945674119058546.2%8.1%88.3%96.4Unlucky
23WolvesCanucks2020000013-200.0001230090736111688468308595461128557114.29%2150.00%01355293846.12%1365300345.45%657135248.59%18321175194567411905850.0%1.5%95.1%96.6DULL
24WolvesEagles2110000068-220.500612180090736111658468308595473154475120.00%2150.00%01355293846.12%1365300345.45%657135248.59%183211751945674119058541.7%9.2%89.0%98.3FUN
25WolvesReign2010001056-120.5005712009073611176846830859545822250200.00%10100.00%01355293846.12%1365300345.45%657135248.59%183211751945674119058545.5%6.6%89.7%96.2Unlucky
26WolvesRoadrunners2010001089-120.50081119009073611153846830859546516641400.00%3166.67%01355293846.12%1365300345.45%657135248.59%183211751945674119058550.0%15.1%86.2%101.2FUN
27WolvesStars2010001077020.50079160090736111518468308595482241244300.00%6266.67%01355293846.12%1365300345.45%657135248.59%183211751945674119058558.3%13.7%91.5%105.2LUCKY
28WolvesGulls2110000054120.50059140190736111518468308595463261336500.00%30100.00%01355293846.12%1365300345.45%657135248.59%183211751945674119058555.6%9.8%93.7%103.5LUCKY
29WolvesBarracuda2110000084420.500812200090736111748468308595444108487342.86%40100.00%01355293846.12%1365300345.45%657135248.59%183211751945674119058555.6%10.8%90.9%101.7FUN
30WolvesFirebirds2100100062441.000610160190736111788468308595460126514125.00%30100.00%01355293846.12%1365300345.45%657135248.59%183211751945674119058571.4%7.7%96.7%104.4DULL
31WolvesSilver Knights20101000910-120.500918270090736111718468308595486234423266.67%2150.00%01355293846.12%1365300345.45%657135248.59%183211751945674119058543.8%12.7%88.4%101.0FUN
_Vs Division2612100031074713290.55874134208009073611179384683085954833281103594601016.67%491177.55%11355293846.12%1365300345.45%657135248.59%183211751945674119058551.6%9.3%91.5%100.8LUCKY
_Vs Conference50222101510133140-7530.5301332413740090736111155584683085954159251921411921141714.91%992178.79%11355293846.12%1365300345.45%657135248.59%183211751945674119058549.4%8.6%91.2%99.8DULL
_Since Last GM Reset82313603651232242-10850.5182324116431290736111256884683085954268980934319311833217.49%1583180.38%11355293846.12%1365300345.45%657135248.59%183211751945674119058548.7%9.0%91.0%100.0FUN
Total82313603651232242-10850.5182324116431290736111256884683085954268980934319311833217.49%1583180.38%11355293846.12%1365300345.45%657135248.59%183211751945674119058548.7%9.0%91.0%100.0FUN

Puck Time
Offensive Zone 22
Neutral Zone 14
Defensive Zone 23
Puck Time
Offensive Zone Start 2938
Neutral Zone Start 1352
Defensive Zone Start 3003
Puck Time
With Puck 29
Without Puck 30
Faceoffs
Faceoffs Won 3377
Faceoffs Lost 3916
Team Average Shots after League Average Shots after
1st Period 10.39.57
2nd Period 20.420.31
3rd Period 30.930.68
Overtime 31.631.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.10.64
2nd Period 2.01.65
3rd Period 2.72.67
Overtime 2.92.83
Even Strenght Goal 198
PP Goal 32
PK Goal 1
Empty Net Goal 1
Home Away
Win 1722
Lost 1917
Overtime Lost 52
PP Attempt 183
PP Goal 32
PK Attempt 158
PK Goal Against 31
Home
Shots For 31.3
Shots Against 32.8
Goals For 2.8
Goals Against 3.0
Hits 23.5
Shots Blocked 9.9
Pim 4.2
Schedule
DateMatchup Result Detail
Wed, Oct 12WolvesCLV@WolvesCHWCLV2,CHW3RECAP
Fri, Oct 14WolvesCHW@WolvesSJBCHW6,SJB1RECAP
Mon, Oct 17WolvesCHW@WolvesCVFCHW3,CVF2 (OT)RECAP
Thu, Oct 20WolvesCHW@WolvesBKSCHW1,BKS3RECAP
Sat, Oct 22WolvesCHW@WolvesSTCCHW1,STC4RECAP
Mon, Oct 24WolvesCHW@WolvesABBCHW1,ABB2RECAP
Fri, Oct 28WolvesBRI@WolvesCHWBRI2,CHW1RECAP
Sat, Oct 29WolvesCHW@WolvesLVPCHW3,LVP2RECAP
Mon, Oct 31WolvesHER@WolvesCHWHER3,CHW1RECAP
Thu, Nov 3WolvesCHW@WolvesSYRCHW2,SYR3RECAP
Fri, Nov 4WolvesROC@WolvesCHWROC3,CHW2 (OT)RECAP
Sun, Nov 6WolvesTOM@WolvesCHWTOM7,CHW2RECAP
Wed, Nov 9WolvesCHW@WolvesCHACHW2,CHA1RECAP
Thu, Nov 10WolvesBKS@WolvesCHWBKS4,CHW2RECAP
Sat, Nov 12WolvesCHW@WolvesCOECHW1,COE5RECAP
Mon, Nov 14WolvesCHW@WolvesRFDCHW6,RFD3RECAP
Thu, Nov 17WolvesCOE@WolvesCHWCOE3,CHW5RECAP
Sat, Nov 19WolvesCHW@WolvesIOWCHW2,IOW3 (SO)RECAP
Mon, Nov 21WolvesCHW@WolvesMANCHW2,MAN3RECAP
Wed, Nov 23WolvesTUC@WolvesCHWTUC5,CHW3RECAP
Fri, Nov 25WolvesCHW@WolvesPVDCHW3,PVD2RECAP
Sat, Nov 26WolvesSTC@WolvesCHWSTC3,CHW5RECAP
Tue, Nov 29WolvesCHW@WolvesWILCHW1,WIL2RECAP
Thu, Dec 1WolvesCHW@WolvesSPRCHW3,SPR7RECAP
Sat, Dec 3WolvesCHW@WolvesONTCHW2,ONT1 (SO)RECAP
Tue, Dec 6WolvesCHW@WolvesSDGCHW2,SDG4RECAP
Sat, Dec 10WolvesCHW@WolvesBRICHW6,BRI4RECAP
Tue, Dec 13WolvesCHW@WolvesGRGCHW5,GRG2RECAP
Thu, Dec 15WolvesCVF@WolvesCHWCVF0,CHW3RECAP
Sat, Dec 17WolvesTEX@WolvesCHWTEX5,CHW4RECAP
Sun, Dec 18WolvesWIL@WolvesCHWWIL6,CHW3RECAP
Tue, Dec 20WolvesUTI@WolvesCHWUTI1,CHW4RECAP
Thu, Dec 22WolvesCHW@WolvesWILCHW5,WIL3RECAP
Fri, Dec 23WolvesLVP@WolvesCHWLVP2,CHW1RECAP
Tue, Dec 27WolvesRFD@WolvesCHWRFD3,CHW4RECAP
Fri, Dec 30WolvesCHA@WolvesCHWCHA1,CHW2 (OT)RECAP
Sun, Jan 1WolvesCHW@WolvesUTICHW2,UTI1RECAP
Tue, Jan 3WolvesCHW@WolvesHWPCHW5,HWP3RECAP
Thu, Jan 5WolvesMIL@WolvesCHWMIL5,CHW4 (OT)RECAP
Sat, Jan 7WolvesCHW@WolvesCLVCHW5,CLV3RECAP
Tue, Jan 10WolvesUTI@WolvesCHWUTI2,CHW4RECAP
Thu, Jan 12WolvesCHW@WolvesCLVCHW3,CLV2 (SO)RECAP
Sat, Jan 14WolvesWIL@WolvesCHWWIL3,CHW2RECAP
Sun, Jan 15WolvesABB@WolvesCHWABB1,CHW0RECAP
Thu, Jan 19WolvesIOW@WolvesCHWIOW2,CHW3 (SO)RECAP
Sat, Jan 21WolvesCHW@WolvesBRICHW2,BRI1RECAP
Wed, Jan 25WolvesCHW@WolvesTEXCHW3,TEX2 (SO)RECAP
Fri, Jan 27WolvesSJB@WolvesCHWSJB3,CHW2RECAP
Sun, Jan 29WolvesPVD@WolvesCHWPVD4,CHW3 (OT)RECAP
Tue, Jan 31WolvesONT@WolvesCHWONT5,CHW3RECAP
Wed, Feb 1WolvesCHW@WolvesROCCHW0,ROC4RECAP
Sat, Feb 11WolvesHWP@WolvesCHWHWP3,CHW2 (OT)RECAP
Tue, Feb 14WolvesCHW@WolvesHERCHW1,HER4RECAP
Thu, Feb 16WolvesLAV@WolvesCHWLAV1,CHW4RECAP
Sat, Feb 18WolvesHER@WolvesCHWHER4,CHW2RECAP
Tue, Feb 21WolvesSPR@WolvesCHWSPR5,CHW3RECAP
Fri, Feb 24WolvesBEL@WolvesCHWBEL2,CHW4RECAP
Sat, Feb 25WolvesSDG@WolvesCHWSDG0,CHW3RECAP
Wed, Mar 1WolvesCHW@WolvesHSKCHW5,HSK4 (OT)RECAP
Fri, Mar 3WolvesCHW@WolvesTUCCHW5,TUC4 (SO)RECAP
Sun, Mar 5WolvesSYR@WolvesCHWSYR2,CHW1RECAP
Tue, Mar 7WolvesCHW@WolvesLAVCHW3,LAV5RECAP
Trade Deadline --- Trades can’t be done after this day is simulated!
Thu, Mar 9WolvesLVP@WolvesCHWLVP2,CHW1 (OT)RECAP
Sat, Mar 11WolvesHSK@WolvesCHWHSK6,CHW4RECAP
Sun, Mar 12WolvesCHW@WolvesUTICHW3,UTI5RECAP
Tue, Mar 14WolvesMAN@WolvesCHWMAN3,CHW4RECAP
Fri, Mar 17WolvesCHW@WolvesTOMCHW1,TOM4RECAP
Sat, Mar 18WolvesCHW@WolvesLVPCHW6,LVP2RECAP
Tue, Mar 21WolvesCHW@WolvesHWPCHW4,HWP5 (OT)RECAP
Thu, Mar 23WolvesHWP@WolvesCHWHWP3,CHW2RECAP
Sat, Mar 25WolvesTOM@WolvesCHWTOM5,CHW1RECAP
Sun, Mar 26WolvesPVD@WolvesCHWPVD2,CHW4RECAP
Tue, Mar 28WolvesSYR@WolvesCHWSYR4,CHW1RECAP
Thu, Mar 30WolvesCHW@WolvesGRGCHW5,GRG1RECAP
Sat, Apr 1WolvesCHW@WolvesLAVCHW0,LAV3RECAP
Sun, Apr 2WolvesBRI@WolvesCHWBRI1,CHW2RECAP
Tue, Apr 4WolvesBEL@WolvesCHWBEL3,CHW4RECAP
Thu, Apr 6WolvesCHW@WolvesMILCHW4,MIL1RECAP
Sat, Apr 8WolvesCHW@WolvesROCCHW4,ROC1RECAP
Mon, Apr 10WolvesCHW@WolvesBELCHW1,BEL4RECAP
Tue, Apr 11WolvesGRG@WolvesCHWGRG1,CHW2RECAP
Thu, Apr 13WolvesCHW@WolvesCHACHW3,CHA4RECAP
Depth Chart RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing

Defense #1Defense #2Goalie

Transactions



Injuries
No Injury or Suspension.

Game Center

Griffins34-46-2, 70pts12Final
Wolves39-36-7, 85pts

Wolves39-36-7, 85pts34Final
Checkers39-36-7, 85pts

Wolves39-36-7, 85ptsFri, Apr 14
Checkers39-36-7, 85pts

Wolves39-36-7, 85ptsSat, Oct 15
Barracuda32-39-11, 75pts

Wolves39-36-7, 85ptsTue, Oct 18
Firebirds37-35-10, 84pts



 

Team Info

Wolves
Head CoachJack Capuano
DivisionMetropolitan Division
CityChicago
Stadium Capacity3,000

Wolves Affiliation

Wolves
General ManagerJan Kriklan
Head CoachJeff Blashill
StadiumPNC Arena
Capacity18,680

Team Leaders


GOALS
Joe Snively
WolvesWolves
27
GOALS
POINTS
Alexander True
WolvesWolves
66
POINTS
WINS
Matthew Murray
WolvesWolves
19
WINS
Expanded Player Leaderboard

Team Stats


Goals For
232
2.83 GFG
Goals Against
242
2.95 GAA
Power Play Percentage
17.5%
32 GF
Penalty Kill Percentage
80.4%
31 GA
Expanded Team Stats

Gustav Olofsson