Login

Chicago Wolves
GP: 30 | W: 17 | L: 13 | OTL: 0 | P: 34
GF: 117 | GA: 105 | PP%: 37.18% | PK%: 62.64%
GM : Jörgen Knutsson | Morale : 44 | Team Overall : 48
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Chicago Wolves
17-13-0, 34pts
6
FINAL
5 Ontario Reign
17-8-5, 39pts
Team Stats
L1StreakW1
8-7-0Home Record8-5-2
9-6-0Home Record9-3-3
4-6-0Last 10 Games4-2-4
3.90Goals Per Game3.60
3.50Goals Against Per Game3.40
37.18%Power Play Percentage43.42%
62.64%Penalty Kill Percentage56.92%
Chicago Wolves
17-13-0, 34pts
3
FINAL
4 Bakersfield Condors
13-11-6, 32pts
Team Stats
L1StreakW2
8-7-0Home Record6-7-2
9-6-0Home Record7-4-4
4-6-0Last 10 Games5-4-1
3.90Goals Per Game3.47
3.50Goals Against Per Game3.63
37.18%Power Play Percentage41.76%
62.64%Penalty Kill Percentage59.55%
Team Leaders
Vasily PonomarevGoals
Vasily Ponomarev
23
Brendan LemieuxAssists
Brendan Lemieux
32
Brendan LemieuxPoints
Brendan Lemieux
47
Plus/Minus
Tuukka Tieksola
16
Dylan WellsWins
Dylan Wells
11
Dylan WellsSave Percentage
Dylan Wells
0.902

Team Stats
Goals For
117
3.90 GFG
Shots For
820
27.33 Avg
Power Play Percentage
37.2%
29 GF
Offensive Zone Start
35.6%
Goals Against
105
3.50 GAA
Shots Against
883
29.43 Avg
Penalty Kill Percentage
62.6%%
34 GA
Defensive Zone Start
33.7%
Team Info

General ManagerJörgen Knutsson
CoachRod Brind'Amour
DivisionCentral Division
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,782
Season Tickets0


Roster Info

Pro Team25
Farm Team19
Contract Limit44 / 60
Prospects29


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
1Brendan Lemieux0X96.0096994650867967604063566630534835656102811,350,000$
2Anton Levtchi0X97.005030995456726153305253523037422965520281842,500$
3Adam Gaudette0X99.004434684664708459354653503055463319510271775,000$
4Jamieson Rees (R)0X97.003148455846618456405043383031336463470232839,167$
5Austin Poganski0X97.005630873472618948304336543037413343460281775,000$
6Tuukka Tieksola (R)0X98.003030945347617346354840493031336266460222823,333$
7Ryan Suzuki (R)0X100.004530934962527249404541373031336558450222863,333$
8Noel Gunler (R)0X97.003030965354526041303839373031336560420223862,500$
9Alexander Pashin (R)0X100.002930975627596942303432373030326643400213826,667$
10Blake Murray (R)0X100.003730994361434634403631383031336031390222791,667$
11Scott Harrington0X100.006433955475827263355958723055522942620311780,000$
12Gabriel Carlsson0X96.005233765974778453306150593040414238570271775,000$
13Griffin Mendel0X100.007130913093609044303737403033364955490251775,000$
14Anttoni Honka (R)0X100.003030925152658951304834433032355957470233836,667$
15Ronan Seeley (R)0X97.004130994664658947304432383030326557470213810,000$
16Cole Clayton (R)0X100.005936743378566938303533423032355451450241775,000$
17Simon Kubicek (R)0X100.004430973667413230303030393031335935390221775,000$
Scratches
1Callahan Burke0X95.005130945651709055355351773035393960550271775,000$
2Vasily Ponomarev (R)0X94.003230845750608460404855403030327171490223795,000$
3Ville Koivunen (R)0X100.003030994948493930402930403029307730370201775,000$
4Liam Kirk (R)0X100.003330843956403030303030413032345431360242775,000$
5Dylan Coghlan0X81.535935995277754856305950603041404448560261775,000$
TEAM AVERAGE97.48463587486261694834454248303637524948
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
1Dylan Wells0100.00646850705853646663595034464480570261775,000$
2Kevin Poulin097.00367354783647444342304347682957470341775,000$
Scratches
1Jussi Olkinuora0100.00336342763240373946303041653025430331775,000$
TEAM AVERAGE99.0044684975424748495040414160345449
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Rod Brind'Amour2525252512550CAN521500,000$


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
1Brendan LemieuxChicago Wolves (CAR)LW30153247063159268112347813.39%2066122.067111815580442374042.00%502315001.4200120423
2Vasily PonomarevChicago Wolves (CAR)C292318417120466794396324.47%1658020.02781515483033484246.66%6281412011.4100000422
3Anton LevtchiChicago Wolves (CAR)LW301614301040444992306317.39%1857419.162465441014361145.45%11179001.0400000027
4Callahan BurkeChicago Wolves (CAR)RW2972027-340536263254911.11%1458720.25212144540000202045.83%961415000.9200000102
5Tuukka TieksolaChicago Wolves (CAR)RW301312251620185170133818.57%1446615.56000017000001152.38%21138001.0711000230
6Jamieson ReesChicago Wolves (CAR)C301111228320614277205514.29%1351417.144154331013192047.00%217215010.8600000220
7Dylan CoghlanChicago Wolves (CAR)D261161770028494820242.08%3259422.88145641011250000%0922000.5700000000
8Ryan SuzukiChicago Wolves (CAR)C30491362033294423369.09%939413.1400001000071050.36%139124000.6600000000
9Noel GunlerChicago Wolves (CAR)RW309312820132722101140.91%532910.980000200000119.09%1148000.7300000211
10Seth JarvisCarolina HurricanesLW87411-61010172243131816.28%919824.792242140001130043.75%25672101.1100101001
11Adam GaudetteChicago Wolves (CAR)LW954918020181871527.78%114716.3610114011250062.50%853001.2200000010
12Scott HarringtonChicago Wolves (CAR)D18099-22020353018120%3038621.50000018000015000%0188000.4700000000
13Gabriel CarlssonChicago Wolves (CAR)D21178-1028028273214203.13%1943320.651232360000260033.33%3910000.3700000000
14Griffin MendelChicago Wolves (CAR)D30178780583216796.25%2061420.49112137000044000%008000.2600000000
15Ronan SeeleyChicago Wolves (CAR)D30077150013168260%2456218.75011030000048000%0413000.2500000000
16Anttoni HonkaChicago Wolves (CAR)D30066160072914580%2254118.03011131000239000%0513000.2200000000
17Austin PoganskiChicago Wolves (CAR)RW23336040444618111216.67%540817.751231320001321030.30%3328000.2900000110
18Cole ClaytonChicago Wolves (CAR)D23044018022145630%635215.33011015000020000%013000.2300000000
19Liam KirkChicago Wolves (CAR)LW11112240211061716.67%413912.6800000000012000%201000.2900000000
20Simon KubicekChicago Wolves (CAR)D13022-100621010%613310.300000000000000%010000.3000000000
21Blake MurrayChicago Wolves (CAR)LW18011100376260%0985.4800000000030050.00%210000.2000000000
22Ville KoivunenChicago Wolves (CAR)C16000-200480010%11006.26000020000100047.50%400400000000000
23Alexander PashinChicago Wolves (CAR)RW26000-400021120%0682.620000000000000%20000000000000
Team Total or Average540117190307762032565171282030153714.27%288888916.462950795752756112049117545.75%1519180171120.6911221161416
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
1Dylan WellsChicago Wolves (CAR)1811500.9023.101007205253033840001614131
2Kevin PoulinChicago Wolves (CAR)156800.8504.00795005335322200001416001
Team Total or Average33171300.8813.491803201058835604003030132


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 Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary 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 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
Adam Gaudette (1 Way Contract)Chicago Wolves (CAR)LW271996-10-03No194 Lbs6 ft1NoNoWaiver2024-03-28NoYes12024-02-04FalseFalsePro & Farm775,000$0$0$No------------------Link / NHL Link
Alexander PashinChicago Wolves (CAR)RW212002-07-28Yes154 Lbs5 ft8NoNoFree AgentNoNo32024-02-03FalseFalsePro & Farm826,667$0$0$No826,667$826,667$-------NoNo-------Link / NHL Link
Anton LevtchiChicago Wolves (CAR)LW281995-11-28No185 Lbs6 ft0NoNoFree AgentNoNo12024-02-26FalseFalsePro & Farm842,500$0$0$No------------------NHL Link
Anttoni HonkaChicago Wolves (CAR)D232000-10-05Yes181 Lbs5 ft11NoNoFree AgentNoNo32024-02-03FalseFalsePro & Farm836,667$0$0$No836,667$836,667$-------NoNo-------Link / NHL Link
Austin PoganskiChicago Wolves (CAR)RW281996-02-16No205 Lbs6 ft1NoNoFree AgentNoNo12024-03-20FalseFalsePro & Farm775,000$0$0$No------------------NHL Link
Blake MurrayChicago Wolves (CAR)LW222001-07-05Yes187 Lbs6 ft2NoNoFree AgentNoNo22024-02-03FalseFalsePro & Farm791,667$0$0$No791,667$--------No--------Link
Brendan Lemieux (1 Way Contract)Chicago Wolves (CAR)LW281996-03-15No215 Lbs6 ft1NoNoFree AgentNoNo12024-02-03FalseFalsePro & Farm1,350,000$200,000$5,333$No------------------Link / NHL Link
Callahan BurkeChicago Wolves (CAR)RW271997-03-19No183 Lbs5 ft10NoNoFree AgentNoNo12024-02-03FalseFalsePro & Farm775,000$0$0$No------------------Link / NHL Link
Cole ClaytonChicago Wolves (CAR)D242000-02-28Yes209 Lbs6 ft2NoNoFree AgentNoNo12024-03-20FalseFalsePro & Farm775,000$0$0$No------------------NHL Link
Dylan Coghlan (1 Way Contract)Chicago Wolves (CAR)D261998-02-19No208 Lbs6 ft2NoNoFree AgentNoNo12024-02-03FalseFalsePro & Farm775,000$0$0$No------------------Link / NHL Link
Dylan WellsChicago Wolves (CAR)G261998-01-03No190 Lbs6 ft2NoNoFree AgentNoNo12024-02-23FalseFalsePro & Farm775,000$0$0$No------------------NHL Link
Gabriel CarlssonChicago Wolves (CAR)D271997-01-02No195 Lbs6 ft5NoNoFree AgentNoNo12024-02-23FalseFalsePro & Farm775,000$0$0$No------------------NHL Link
Griffin MendelChicago Wolves (CAR)D251999-02-18No220 Lbs6 ft6NoNoFree AgentNoNo12024-02-03FalseFalsePro & Farm775,000$0$0$No------------------Link / NHL Link
Jamieson ReesChicago Wolves (CAR)C232001-02-26Yes172 Lbs5 ft11NoNoFree AgentNoNo22024-02-03FalseFalsePro & Farm839,167$0$0$No839,167$--------No--------Link / NHL Link
Jussi OlkinuoraChicago Wolves (CAR)G331990-11-04No201 Lbs6 ft2NoNoFree AgentNoNo12024-02-26FalseFalsePro & Farm775,000$0$0$No------------------
Kevin PoulinChicago Wolves (CAR)G341990-04-12No206 Lbs6 ft2NoNoFree AgentNoNo12024-02-26FalseFalsePro & Farm775,000$0$0$No------------------NHL Link
Liam KirkChicago Wolves (CAR)LW242000-01-03Yes183 Lbs6 ft1NoNoFree AgentNoNo22024-03-17FalseFalsePro & Farm775,000$0$0$No775,000$--------No--------
Noel GunlerChicago Wolves (CAR)RW222001-10-07Yes176 Lbs6 ft2NoNoFree AgentNoNo32024-02-03FalseFalsePro & Farm862,500$0$0$No862,500$862,500$-------NoNo-------Link / NHL Link
Ronan SeeleyChicago Wolves (CAR)D212002-08-02Yes192 Lbs6 ft1NoNoFree AgentNoNo32024-02-03FalseFalsePro & Farm810,000$0$0$No810,000$810,000$-------NoNo-------Link
Ryan SuzukiChicago Wolves (CAR)C222001-05-28Yes190 Lbs6 ft1NoNoFree AgentNoNo22024-02-03FalseFalsePro & Farm863,333$0$0$No863,333$--------No--------Link / NHL Link
Scott HarringtonChicago Wolves (CAR)D311993-03-10No204 Lbs6 ft2NoNoFree AgentNoNo12024-02-23FalseFalsePro & Farm780,000$0$0$No------------------NHL Link
Simon KubicekChicago Wolves (CAR)D222001-12-19Yes194 Lbs6 ft2NoNoFree AgentNoNo12024-03-20FalseFalsePro & Farm775,000$0$0$No------------------
Tuukka TieksolaChicago Wolves (CAR)RW222001-06-22Yes174 Lbs5 ft11NoNoFree AgentNoNo22024-02-03FalseFalsePro & Farm823,333$0$0$No823,333$--------No--------Link
Vasily PonomarevChicago Wolves (CAR)C222002-03-13Yes181 Lbs5 ft10NoNoFree AgentNoNo32024-02-03FalseFalsePro & Farm795,000$0$0$No795,000$795,000$-------NoNo-------Link / NHL Link
Ville KoivunenChicago Wolves (CAR)C202003-06-13Yes172 Lbs6 ft0NoNoFree AgentNoNo12024-02-03FalseFalsePro & Farm775,000$0$0$No------------------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2525.12191 Lbs6 ft11.60819,833$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brendan LemieuxNoel Gunler40122
2Anton LevtchiJamieson ReesAustin Poganski30122
3Adam GaudetteRyan SuzukiTuukka Tieksola20122
4Anton LevtchiBrendan LemieuxNoel Gunler10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Scott HarringtonGabriel Carlsson40122
2Anttoni HonkaRonan Seeley30122
3Cole ClaytonGriffin Mendel20122
4Gabriel CarlssonRonan Seeley10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brendan LemieuxAdam GaudetteTuukka Tieksola60122
2Anton LevtchiJamieson ReesAustin Poganski40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Cole ClaytonGabriel Carlsson60122
2Anttoni HonkaRonan Seeley40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Austin PoganskiBrendan Lemieux60122
2Jamieson ReesAnton Levtchi40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Gabriel CarlssonCole Clayton60122
2Anttoni HonkaRonan Seeley40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Anton Levtchi60122Gabriel CarlssonCole Clayton60122
2Jamieson Rees40122Anttoni HonkaRonan Seeley40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Brendan LemieuxAustin Poganski60122
2Jamieson ReesAnton Levtchi40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Cole ClaytonGabriel Carlsson60122
2Anttoni HonkaRonan Seeley40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Brendan LemieuxAdam GaudetteAnton LevtchiScott HarringtonGabriel Carlsson
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Brendan LemieuxAdam GaudetteAnton LevtchiScott HarringtonGabriel Carlsson
Extra Forwards
Normal PowerPlayPenalty Kill
Austin Poganski, Jamieson Rees, Tuukka TieksolaAustin Poganski, Jamieson ReesAustin Poganski
Extra Defensemen
Normal PowerPlayPenalty Kill
Ronan Seeley, Cole Clayton, Anttoni HonkaRonan SeeleyRonan Seeley, Cole Clayton
Penalty Shots
Jamieson Rees, Brendan Lemieux, Anton Levtchi, Tuukka Tieksola, Austin Poganski
Goalie
#1 : Kevin Poulin, #2 : Dylan Wells
Custom OT Lines Forwards
Brendan Lemieux, , Anton Levtchi, Alexander Pashin, Austin Poganski, Jamieson Rees, Jamieson Rees, Tuukka Tieksola, Ryan Suzuki, Noel Gunler, Adam Gaudette
Custom OT Lines Defensemen
Scott Harrington, Gabriel Carlsson, Anttoni Honka, Ronan Seeley, Cole Clayton


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
1Abbotsford Canucks20200000714-71010000045-11010000039-600.00071320002054412541793003365732328407228.57%14657.14%025053846.47%23750946.56%20846544.73%570269602305634315
2Bakersfield Condors2020000059-41010000025-31010000034-100.0005813002054412411793003365641514448112.50%7614.29%025053846.47%23750946.56%20846544.73%570269602305634315
3Calgary Wranglers20101000990100010007611010000023-120.5009152400205441276179300336567192434250.00%110.00%025053846.47%23750946.56%20846544.73%570269602305634315
4Coachella Valley Firebirds2110000037-4110000002111010000016-520.500347002054412401793003365411112463133.33%6350.00%025053846.47%23750946.56%20846544.73%570269602305634315
5Colorado Eagles2110000013851010000045-11100000093620.500132235002054412621793003365662516565120.00%3166.67%025053846.47%23750946.56%20846544.73%570269602305634315
6Henderson Silver Knights211000005501010000023-11100000032120.5005914002054412631793003365722318305240.00%9277.78%025053846.47%23750946.56%20846544.73%570269602305634315
7Iowa Wild2020000059-41010000025-31010000034-100.0005712002054412421793003365582016406233.33%8450.00%025053846.47%23750946.56%20846544.73%570269602305634315
8Manitoba Moose22000000835110000004131100000042241.0008132100205441253179300336542128437457.14%40100.00%025053846.47%23750946.56%20846544.73%570269602305634315
9Milwaukee Admirals21100000862110000005231010000034-120.5008142200205441267179300336566208577457.14%4175.00%025053846.47%23750946.56%20846544.73%570269602305634315
10Ontario Reign2200000014113110000008621100000065141.000142438002054412681793003365583213403266.67%4250.00%025053846.47%23750946.56%20846544.73%570269602305634315
11Rockford IceHogs211000007611010000015-41100000061520.50071017002054412561793003365742118414125.00%9277.78%125053846.47%23750946.56%20846544.73%570269602305634315
12San Diego Gulls22000000853110000006421100000021141.0008111900205441251179300336563196495240.00%4250.00%025053846.47%23750946.56%20846544.73%570269602305634315
13San Jose Barracuda21001000523100010002111100000031241.0005813002054412601793003365592015364125.00%50100.00%125053846.47%23750946.56%20846544.73%570269602305634315
14Texas Stars211000009721010000024-21100000073420.50091524002054412461793003365351614543133.33%7357.14%125053846.47%23750946.56%20846544.73%570269602305634315
15Tucson Roadrunners220000001147110000007251100000042241.000111728002054412411793003365451217327342.86%6183.33%225053846.47%23750946.56%20846544.73%570269602305634315
Total30151302000117105121567020005855315960000059509340.5671171903070020544128201793003365883288205651782937.18%913462.64%525053846.47%23750946.56%20846544.73%570269602305634315
_Since Last GM Reset30151302000117105121567020005855315960000059509340.5671171903070020544128201793003365883288205651782937.18%913462.64%525053846.47%23750946.56%20846544.73%570269602305634315
_Vs Conference30151302000117105121567020005855315960000059509340.5671171903070020544128201793003365883288205651782937.18%913462.64%525053846.47%23750946.56%20846544.73%570269602305634315
_Vs Division148600000614318734000002524175200000361917160.5716198159002054412367179300336538612697323391641.03%411270.73%425053846.47%23750946.56%20846544.73%570269602305634315

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3034L111719030782088328820565100
All Games
GPWLOTWOTL SOWSOLGFGA
3015132000117105
Home Games
GPWLOTWOTL SOWSOLGFGA
156720005855
Visitor Games
GPWLOTWOTL SOWSOLGFGA
159600005950
Last 10 Games
WLOTWOTL SOWSOL
460000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
782937.18%913462.64%5
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
17930033652054412
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
25053846.47%23750946.56%20846544.73%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
570269602305634315


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
314Calgary Wranglers6Chicago Wolves7WXBoxScore
527Chicago Wolves9Colorado Eagles3WBoxScore
844Ontario Reign6Chicago Wolves8WBoxScore
1065Chicago Wolves3Abbotsford Canucks9LBoxScore
1278Chicago Wolves2Calgary Wranglers3LBoxScore
1486Colorado Eagles5Chicago Wolves4LBoxScore
16105Abbotsford Canucks5Chicago Wolves4LBoxScore
20131San Diego Gulls4Chicago Wolves6WBoxScore
25161Rockford IceHogs5Chicago Wolves1LBoxScore
27171Chicago Wolves1Coachella Valley Firebirds6LBoxScore
31197Milwaukee Admirals2Chicago Wolves5WBoxScore
33209Chicago Wolves3Iowa Wild4LBoxScore
34223Manitoba Moose1Chicago Wolves4WBoxScore
39256Tucson Roadrunners2Chicago Wolves7WBoxScore
42277Chicago Wolves6Rockford IceHogs1WBoxScore
44287Coachella Valley Firebirds1Chicago Wolves2WBoxScore
47307Chicago Wolves4Tucson Roadrunners2WBoxScore
49320San Jose Barracuda1Chicago Wolves2WXBoxScore
51331Chicago Wolves3Henderson Silver Knights2WBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
53342Chicago Wolves2San Diego Gulls1WBoxScore
54354Texas Stars4Chicago Wolves2LBoxScore
56368Chicago Wolves7Texas Stars3WBoxScore
59386Chicago Wolves3San Jose Barracuda1WBoxScore
60392Bakersfield Condors5Chicago Wolves2LBoxScore
64418Iowa Wild5Chicago Wolves2LBoxScore
67434Chicago Wolves3Milwaukee Admirals4LBoxScore
69444Henderson Silver Knights3Chicago Wolves2LBoxScore
70453Chicago Wolves4Manitoba Moose2WBoxScore
72464Chicago Wolves6Ontario Reign5WBoxScore
73473Chicago Wolves3Bakersfield Condors4LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance27,75113,984
Attendance PCT92.50%93.23%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2782 - 92.74% 117,317$1,759,758$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,195,372$ 1,759,584$ 1,759,584$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 1,702,114$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 1 30,535$ 30,535$




Chicago Wolves 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

Chicago Wolves Goalies Stat Leaders (Regular Season)

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

Chicago 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

Chicago Wolves 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

Chicago Wolves Goalies Stat Leaders (Play-Off)

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