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Chicago Wolves
GP: 37 | W: 15 | L: 20 | OTL: 2 | P: 32
GF: 106 | GA: 119 | PP%: 28.45% | PK%: 66.99%
GM : Jörgen Knutsson | Morale : 36 | Team Overall : 46
Next Games #594 vs Rochester Americans
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Game Center
Chicago Wolves
15-20-2, 32pts
0
FINAL
2 Hartford Wolf Pack
20-15-2, 42pts
Team Stats
W1StreakW3
7-10-1Home Record11-6-1
8-10-1Home Record9-9-1
5-5-0Last 10 Games7-3-0
2.86Goals Per Game2.81
3.22Goals Against Per Game2.59
28.45%Power Play Percentage28.42%
66.99%Penalty Kill Percentage71.65%
Texas Stars
13-19-4, 30pts
2
FINAL
4 Chicago Wolves
15-20-2, 32pts
Team Stats
L3StreakW1
6-9-3Home Record7-10-1
7-10-1Home Record8-10-1
3-7-0Last 10 Games5-5-0
2.39Goals Per Game2.86
2.94Goals Against Per Game3.22
34.69%Power Play Percentage28.45%
65.69%Penalty Kill Percentage66.99%
Rochester Americans
14-16-6, 34pts
Day 86
Chicago Wolves
15-20-2, 32pts
Team Stats
SOL1StreakW1
6-8-4Home Record7-10-1
8-8-2Away Record8-10-1
2-5-3Last 10 Games5-5-0
3.11Goals Per Game2.86
3.22Goals Against Per Game2.86
27.18%Power Play Percentage28.45%
62.64%Penalty Kill Percentage66.99%
Chicago Wolves
15-20-2, 32pts
Day 88
Providence Bruins
17-18-3, 37pts
Team Stats
W1StreakL1
7-10-1Home Record9-7-2
8-10-1Away Record8-11-1
5-5-0Last 10 Games2-7-1
2.86Goals Per Game3.47
3.22Goals Against Per Game3.47
28.45%Power Play Percentage35.00%
66.99%Penalty Kill Percentage66.67%
Chicago Wolves
15-20-2, 32pts
Day 90
Milwaukee Admirals
24-7-6, 54pts
Team Stats
W1StreakW3
7-10-1Home Record12-5-1
8-10-1Away Record12-2-5
5-5-0Last 10 Games6-1-3
2.86Goals Per Game3.08
3.22Goals Against Per Game3.08
28.45%Power Play Percentage28.00%
66.99%Penalty Kill Percentage72.88%
Team Leaders
Jackson BlakeGoals
Jackson Blake
20
Matthew PoitrasAssists
Matthew Poitras
24
Adam GaudettePoints
Adam Gaudette
36
Tag BertuzziPlus/Minus
Tag Bertuzzi
3
Yaniv PeretsWins
Yaniv Perets
8
Troy GrosenickSave Percentage
Troy Grosenick
0.899

Team Stats
Goals For
106
2.86 GFG
Shots For
1016
27.46 Avg
Power Play Percentage
28.4%
33 GF
Offensive Zone Start
36.8%
Goals Against
119
3.22 GAA
Shots Against
1058
28.59 Avg
Penalty Kill Percentage
67.0%%
34 GA
Defensive Zone Start
36.2%
Team Info

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


Arena Info

Capacity3,000
Attendance2,783
Season Tickets0


Roster Info

Pro Team32
Farm Team21
Contract Limit53 / 60
Prospects30


Team History

This Season15-20-2 (32PTS)
History32-33-5 (0.457%)
Playoff Appearances1
Playoff Record (W-L)1 - 4 (0.200%)
Stanley Cup0


Filter Tips
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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
1Adam Gaudette0X100.006133725068738871405369673251513255590281775,000$
2Matthew Poitras (R)0X100.005130997452815760556763683031308248590203870,000$
3Vasily Ponomarev (R)0X100.005530936849726956616567703030327111580222795,000$
4Jackson Blake (R)0X100.005130995149853059305354503030317460510213975,000$
5Bradly Nadeau (R)0X100.005030995436943057305353543027288927510194950,000$
6Matt Savoie (R)0X100.005130936447593550405056493029308957490201918,333$
7Ryan Suzuki (R)0X100.004030996062587353404347393031332935470231863,333$
8Chase Wouters (R)0X100.004530734763618546394137413033482842450241775,000$
9Daniel D'Amato (R)0X100.003030835152647541303636393032332846420231775,000$
10Robert Mastrosimone (R)0X100.003030755642596740303933453032342849420231775,000$
11Nicholas Zabaneh (R)0X100.003335997151453031303041413031332922410231775,000$
12Josh Mahura0X100.005935857765745553356351653046424636590261925,000$
13Scott Morrow (R)0X100.005030996069863151305152563031337133530223916,667$
14Cole Clayton (R)0X100.006030844178587944354136473033352847480241775,000$
15Simon Kubicek (R)0X100.004335997167403031304629403032342844450231775,000$
16Matthew Sredl (R)0X100.003930997162433032304130413031332824430221775,000$
17Jackson Van-De-Leest (R)0X100.007130993199403431303329433031332826430231775,000$
18Ronan Seeley (R)0X100.004130954464687940303832293031332831420222810,000$
Scratches
1Erik Middendorf (R)0X100.004430994865474935303433453032352939410241775,000$
2Tag Bertuzzi (R)0X100.007030993184443731303230423031332921390231775,000$
3Riley Bezeau (R)0X100.003535614657545636403432423030322920390221775,000$
4Jamieson Rees (R)0X100.002930914846567336303529423031332932390231839,167$
5Blade Jenkins (R)0X100.004830994069414032303133433031343020380241775,000$
6Jace Isley (R)0X100.005130993571443531303033423029313021380221775,000$
7Ryan Gagnier (R)0X100.003530994456403331403032413029313021370221775,000$
8Jack Millar (R)0X94.627030993192403030303030413032352923420241775,000$
9Anthony Costantini (R)0X100.003130994855473632303430423529363020390221775,000$
10Jake Murray (R)0X100.004830973171504531303030393029313020390221775,000$
TEAM AVERAGE99.81473192526258504234424047303234403345
Filter Tips
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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
1Troy Grosenick0100.00467556625058545658314343692962530351775,000$
2Jack LaFontaine0100.00395337833733453840343033454732420261775,000$
Scratches
1Yaniv Perets (R)096.15745150627451646363905032415447590242805,000$
2Ben Kraws (R)0100.00345334833633403835303031405522400241775,000$
TEAM AVERAGE99.0448584473494451494946383549464149
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Rod Brind'Amour27262825112650CAN531500,000$


Filter Tips
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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# 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
1Adam GaudetteChicago Wolves (CAR)C33162036-34608571139338011.51%2766620.193101310580114431052.20%5671920001.0801000204
2Jackson BlakeChicago Wolves (CAR)RW362016362805956130347515.38%2374520.72751218810002182048.72%782821100.9702000242
3Matthew PoitrasChicago Wolves (CAR)C29102434180467191357710.99%1656319.4208810440004383160.09%4462813001.2112000511
4Bradly NadeauChicago Wolves (CAR)LW2491524-880303973143612.33%1647719.90551015390000270130.77%392116001.0111000121
5Daniel D'AmatoChicago Wolves (CAR)RW338715-9160385460142613.33%954316.48404663000002043.75%161110000.5500000021
6Ryan SuzukiChicago Wolves (CAR)C2641014-24027355512427.27%834713.371347220000162141.92%1671517000.8100000100
7Robert MastrosimoneChicago Wolves (CAR)LW355914-120042455825288.62%1056516.151233510001230026.67%151919000.5000000000
8Chase WoutersChicago Wolves (CAR)C3431013-48048545715415.26%845513.380110160000210039.50%2001712000.5700000010
9Vasily PonomarevChicago Wolves (CAR)C204711-6100303630133313.33%930915.481121190001180155.76%165167000.7113000000
10Matt SavoieChicago Wolves (CAR)C366511-24057536416559.38%1354315.092132290002214047.24%1993516000.4012000012
11Scott MorrowChicago Wolves (CAR)D30189-48034434525282.22%4269423.1510165600045800100.00%11725000.2600000010
12Matthew SredlChicago Wolves (CAR)D37178-131001629241394.17%3070819.14123252000046000%0923000.2300000000
13Cole ClaytonChicago Wolves (CAR)D34347-82205336217614.29%2562218.303255570000470020.00%51014000.2200000001
14Nicholas ZabanehChicago Wolves (CAR)RW27336-22010252371913.04%32609.6601104000000014.29%7215000.4600000001
15Simon KubicekChicago Wolves (CAR)D29055-300161913650%1351017.60044153000037000%0311000.2000000000
16Josh MahuraChicago Wolves (CAR)D11235180810211159.52%722420.41213412000110000%0511000.4500000000
17Ronan SeeleyChicago Wolves (CAR)D34145-340222312898.33%1558817.30123131000029000%048000.1700000001
18Tag BertuzziChicago Wolves (CAR)LW16314300247156420.00%417210.76000010000110050.00%401000.4600000010
19Jackson Van-De-LeestChicago Wolves (CAR)D31044-400503218520%2458618.93011333000041000%0214000.1400000000
20Jack MillarChicago Wolves (CAR)D2403330029228570%2039016.2900001400008000%0011000.1500000000
21Blade JenkinsChicago Wolves (CAR)RW7112-1003663316.67%0476.830000000000000%011000.8400000000
22Jamieson ReesChicago Wolves (CAR)LW24112-440720271093.70%427011.27000040000141037.50%854000.1500000000
23Riley BezeauChicago Wolves (CAR)RW100113601449050%1969.7000007000000066.67%300000.2100000000
24Ryan GagnierChicago Wolves (CAR)C10101-1002271314.29%3838.3800000000001045.45%2232000.2400000000
25Jace IsleyChicago Wolves (CAR)LW21012003221150.00%22713.70000000000000100.00%101000.7300000000
26Erik MiddendorfChicago Wolves (CAR)RW31101-2201831256134.00%835711.5400002000000053.85%1375000.0600000000
27Jake MurrayChicago Wolves (CAR)D8011020851010%913216.590000800000000%0010000.1500000000
Team Total or Average671104169273-652000779830103432562210.06%3491099316.38324981947660111953716450.51%1956296297100.50411000111314
Filter Tips
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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 Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Yaniv PeretsChicago Wolves (CAR)178710.8932.949810248447256100.8336172200
2Troy GrosenickChicago Wolves (CAR)1961000.8992.94959204746727301001620211
3Jack LaFontaineChicago Wolves (CAR)61310.8464.48295002214398100.6673414000
Team Total or Average42152020.8893.1422352211710576272193736411


Filter Tips
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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
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 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
Adam GaudetteChicago Wolves (CAR)C281996-10-03USANo194 Lbs6 ft1NoNoFree Agent2024-03-28NoNo12024-08-08FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Anthony CostantiniChicago Wolves (CAR)D222002-08-04CANYes181 Lbs6 ft1NoNoFree AgentNoNo12024-08-22FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Ben KrawsChicago Wolves (CAR)G242000-08-02USAYes194 Lbs6 ft5NoNoFree AgentNoNo12024-08-23FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Blade JenkinsChicago Wolves (CAR)RW242000-04-11USAYes198 Lbs6 ft2NoNoFree AgentNoNo12024-09-27FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Bradly NadeauChicago Wolves (CAR)LW192005-05-05CANYes161 Lbs5 ft10NoNoFree AgentNoNo42024-08-06FalseFalsePro & Farm950,000$0$0$No950,000$950,000$950,000$------950,000$950,000$950,000$------NoNoNo------Link / NHL Link
Chase WoutersChicago Wolves (CAR)C242000-02-08CANYes194 Lbs6 ft0NoNoFree AgentNoNo12024-09-27FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Cole ClaytonChicago Wolves (CAR)D242000-02-28CANYes209 Lbs6 ft2NoNoFree AgentNoNo12024-08-06FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Daniel D'AmatoChicago Wolves (CAR)RW232001-04-08CANYes176 Lbs6 ft1NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Erik MiddendorfChicago Wolves (CAR)RW242000-07-11USAYes194 Lbs6 ft1NoNoFree AgentNoNo12024-09-27FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Jace IsleyChicago Wolves (CAR)LW222002-07-14CANYes201 Lbs6 ft2NoNoFree AgentNoNo12024-08-23FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Jack LaFontaineChicago Wolves (CAR)G261998-01-06CANNo209 Lbs6 ft3NoNoFree AgentNoNo12024-09-02FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Jack MillarChicago Wolves (CAR)D242000-11-30USAYes220 Lbs6 ft5NoNoFree AgentNoNo12024-09-29FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Jackson BlakeChicago Wolves (CAR)RW212003-08-03USAYes173 Lbs5 ft10NoNoFree AgentNoNo32024-08-18FalseFalsePro & Farm975,000$0$0$No975,000$975,000$-------975,000$975,000$-------NoNo-------NHL Link
Jackson Van-De-LeestChicago Wolves (CAR)D232001-06-15CANYes238 Lbs6 ft7NoNoFree AgentNoNo12024-09-29FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Jake MurrayChicago Wolves (CAR)D222002-04-11CANYes198 Lbs6 ft3NoNoFree AgentNoNo12024-09-29FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Jamieson ReesChicago Wolves (CAR)LW232001-02-26CANYes172 Lbs5 ft11NoNoFree AgentNoNo12024-02-03FalseFalsePro & Farm839,167$0$0$No---------------------------NHL Link
Josh Mahura (1 Way Contract)Chicago Wolves (CAR)D261998-05-05CANNo193 Lbs6 ft0NoNoTrade2024-11-16NoNo12024-08-06FalseFalsePro & Farm925,000$0$0$No---------------------------NHL Link
Matt SavoieChicago Wolves (CAR)C202004-01-01CANYes179 Lbs5 ft9NoNoTrade2024-11-25NoNo12024-08-06FalseFalsePro & Farm918,333$0$0$No---------------------------Link / NHL Link
Matthew PoitrasChicago Wolves (CAR)C202004-03-10CANYes180 Lbs5 ft11NoNoFree AgentNoNo32024-08-05FalseFalsePro & Farm870,000$0$0$No870,000$870,000$-------870,000$870,000$-------NoNo-------Link / NHL Link
Matthew SredlChicago Wolves (CAR)D222002-04-22USAYes190 Lbs6 ft1NoNoFree AgentNoNo12024-09-29FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Nicholas ZabanehChicago Wolves (CAR)RW232001-03-27CANYes183 Lbs5 ft10NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Riley BezeauChicago Wolves (CAR)RW222002-05-04CANYes185 Lbs6 ft0NoNoFree AgentNoNo12024-08-22FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Robert MastrosimoneChicago Wolves (CAR)LW232001-01-24USAYes170 Lbs5 ft10NoNoFree AgentNoNo12024-09-27FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Ronan SeeleyChicago Wolves (CAR)D222002-08-02CANYes192 Lbs6 ft1NoNoFree AgentNoNo22024-02-03FalseFalsePro & Farm810,000$0$0$No810,000$--------810,000$--------No--------NHL Link
Ryan GagnierChicago Wolves (CAR)C222002-07-16CANYes185 Lbs6 ft0NoNoFree AgentNoNo12024-09-02FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Ryan SuzukiChicago Wolves (CAR)C232001-05-28CANYes190 Lbs6 ft1NoNoFree AgentNoNo12024-02-03FalseFalsePro & Farm863,333$0$0$No---------------------------NHL Link
Scott MorrowChicago Wolves (CAR)D222002-11-01USAYes195 Lbs6 ft2NoNoFree AgentNoNo32024-08-05FalseFalsePro & Farm916,667$0$0$No916,667$916,667$-------916,667$916,667$-------NoNo-------Link / NHL Link
Simon KubicekChicago Wolves (CAR)D232001-12-19CZEYes194 Lbs6 ft2NoNoFree AgentNoNo12024-08-06FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Tag BertuzziChicago Wolves (CAR)LW232001-02-18CANYes220 Lbs6 ft1NoNoFree AgentNoNo12024-09-27FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Troy GrosenickChicago Wolves (CAR)G351989-08-27USANo181 Lbs6 ft1NoNoFree AgentNoNo12024-09-29FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Vasily PonomarevChicago Wolves (CAR)C222002-03-13RUSYes180 Lbs5 ft10NoNoFree AgentNoNo22024-02-03FalseFalsePro & Farm795,000$0$0$No795,000$--------795,000$--------No--------NHL Link
Yaniv PeretsChicago Wolves (CAR)G242000-03-04CANYes181 Lbs6 ft1NoNoFree AgentNoNo22024-08-22FalseFalsePro & Farm805,000$0$0$No805,000$--------805,000$--------No--------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3223.28191 Lbs6 ft11.38810,703$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Robert MastrosimoneMatthew PoitrasJackson Blake40122
2Matt Savoie30122
3Ryan SuzukiNicholas Zabaneh20122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Scott MorrowCole Clayton40122
2Simon KubicekMatthew Sredl30122
3Jackson Van-De-LeestRonan Seeley30122
4Scott MorrowCole Clayton0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Robert MastrosimoneMatthew PoitrasJackson Blake60122
2Matt Savoie40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Scott MorrowCole Clayton60122
2Simon KubicekMatthew Sredl40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Matthew PoitrasRobert Mastrosimone60122
2Matt Savoie40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Scott MorrowCole Clayton60122
2Simon KubicekMatthew Sredl40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Matthew Poitras60122Scott MorrowCole Clayton60122
2Matt Savoie40122Simon KubicekMatthew Sredl40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Matthew PoitrasRobert Mastrosimone60122
2Matt Savoie40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Scott MorrowCole Clayton60122
2Simon KubicekMatthew Sredl40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Robert MastrosimoneMatthew PoitrasJackson BlakeScott MorrowCole Clayton
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Robert MastrosimoneMatthew PoitrasJackson BlakeScott MorrowCole Clayton
Extra Forwards
Normal PowerPlayPenalty Kill
Robert Mastrosimone, , Nicholas ZabanehRobert Mastrosimone, Robert Mastrosimone
Extra Defensemen
Normal PowerPlayPenalty Kill
Matthew Sredl, Jackson Van-De-Leest, Ronan SeeleyMatthew SredlMatthew Sredl, Jackson Van-De-Leest
Penalty Shots
Matthew Poitras, Jackson Blake, Matt Savoie, Ryan Suzuki, Robert Mastrosimone
Goalie
#1 : Troy Grosenick, #2 : Jack LaFontaine
Custom OT Lines Forwards
Matthew Poitras, Jackson Blake, Matt Savoie, Ryan Suzuki, Robert Mastrosimone, , , Nicholas Zabaneh, , ,
Custom OT Lines Defensemen
Scott Morrow, Cole Clayton, Simon Kubicek, Matthew Sredl, Jackson Van-De-Leest


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
1Bakersfield Condors11000000202000000000001100000020221.0002460117374859230373401211350133133.33%000%036668653.35%32467647.93%25950351.49%701345792376744359
2Belleville Senators1010000026-4000000000001010000026-400.0002350017374853423037340121471514144125.00%7271.43%036668653.35%32467647.93%25950351.49%701345792376744359
3Bridgeport Islanders1000010067-1000000000001000010067-110.5006915001737485312303734012146106184250.00%3233.33%036668653.35%32467647.93%25950351.49%701345792376744359
4Cleveland Monsters1010000024-21010000024-20000000000000.00024600173748527230373401212592324125.00%10100.00%036668653.35%32467647.93%25950351.49%701345792376744359
5Coachella Valley Firebirds10000010431000000000001000001043121.00045900173748518230373401211368182150.00%4250.00%036668653.35%32467647.93%25950351.49%701345792376744359
6Colorado Eagles321000001587211000006601100000092740.66715254000173748597230373401217731187510550.00%9455.56%036668653.35%32467647.93%25950351.49%701345792376744359
7Grand Rapids Griffins11000000312110000003120000000000021.0003580017374853023037340121271241811100.00%20100.00%036668653.35%32467647.93%25950351.49%701345792376744359
8Hartford Wolf Pack2020000036-31010000034-11010000002-200.000369001737485402303734012150161033500.00%50100.00%036668653.35%32467647.93%25950351.49%701345792376744359
9Iowa Wild41300000811-32020000026-42110000065120.25081018001737485922303734012112737188315213.33%9277.78%036668653.35%32467647.93%25950351.49%701345792376744359
10Laval Rocket220000001037110000006241100000041341.0001015250017374856323037340121631714489333.33%7185.71%036668653.35%32467647.93%25950351.49%701345792376744359
11Manitoba Moose2010001056-1100000104311010000013-220.5005611101737485702303734012164161238000%6266.67%036668653.35%32467647.93%25950351.49%701345792376744359
12Milwaukee Admirals30201000811-32010100078-11010000013-220.333814220017374859023037340121711518647114.29%9188.89%036668653.35%32467647.93%25950351.49%701345792376744359
13Ontario Reign21100000440110000004221010000002-220.5004711001737485512303734012144168348225.00%4175.00%036668653.35%32467647.93%25950351.49%701345792376744359
14Providence Bruins1000000156-11000000156-10000000000010.500591400173748544230373401214174257342.86%2150.00%036668653.35%32467647.93%25950351.49%701345792376744359
15Rockford IceHogs30300000620-141010000024-220200000416-1200.0006915001737485852303734012111344307110220.00%15660.00%136668653.35%32467647.93%25950351.49%701345792376744359
16San Diego Gulls1010000012-1000000000001010000012-100.000112001737485232303734012126138153133.33%4250.00%036668653.35%32467647.93%25950351.49%701345792376744359
17Texas Stars32100000853211000005411100000031240.66781422001737485782303734012183288659222.22%4250.00%036668653.35%32467647.93%25950351.49%701345792376744359
18Toronto Marlies2010100078-11010000024-21000100054120.500711180017374856423037340121693112553266.67%6350.00%036668653.35%32467647.93%25950351.49%701345792376744359
19Tucson Roadrunners2020000068-21010000034-11010000034-100.00061016001737485482303734012138178379222.22%4325.00%036668653.35%32467647.93%25950351.49%701345792376744359
20Utica Comets11000000101000000000001100000010121.00012301173748522230373401212164123133.33%20100.00%036668653.35%32467647.93%25950351.49%701345792376744359
Total37112002121106119-1318510010115458-419610011105261-9320.43210616927512173748510162303734012110583512067681163328.45%1033466.99%136668653.35%32467647.93%25950351.49%701345792376744359
_Since Last GM Reset37112002121106119-1318510010115458-419610011105261-9320.43210616927512173748510162303734012110583512067681163328.45%1033466.99%136668653.35%32467647.93%25950351.49%701345792376744359
_Vs Conference25715010206778-111237010103337-41348000103441-7200.4006710517211173748566123037340121669228136513761925.00%682563.24%136668653.35%32467647.93%25950351.49%701345792376744359
_Vs Division20513010105669-131127010102935-6936000002734-7140.350568814410173748556023037340121573188112433601423.33%562064.29%136668653.35%32467647.93%25950351.49%701345792376744359

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3732W11061692751016105835120676812
All Games
GPWLOTWOTL SOWSOLGFGA
3711202121106119
Home Games
GPWLOTWOTL SOWSOLGFGA
1851010115458
Visitor Games
GPWLOTWOTL SOWSOLGFGA
1961011105261
Last 10 Games
WLOTWOTL SOWSOL
550000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1163328.45%1033466.99%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
230373401211737485
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
36668653.35%32467647.93%25950351.49%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
701345792376744359


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
311Manitoba Moose3Chicago Wolves4WXXBoxScore
430Chicago Wolves1Manitoba Moose3LBoxScore
646Chicago Wolves2Rockford IceHogs10LBoxScore
856Colorado Eagles5Chicago Wolves2LBoxScore
1070Chicago Wolves9Colorado Eagles2WBoxScore
1289Chicago Wolves1Milwaukee Admirals3LBoxScore
14100Texas Stars2Chicago Wolves1LBoxScore
16124Chicago Wolves5Toronto Marlies4WXBoxScore
17129Milwaukee Admirals4Chicago Wolves2LBoxScore
19150Tucson Roadrunners4Chicago Wolves3LBoxScore
22172Chicago Wolves4Iowa Wild1WBoxScore
24185Iowa Wild3Chicago Wolves1LBoxScore
29206Rockford IceHogs4Chicago Wolves2LBoxScore
31219Chicago Wolves3Texas Stars1WBoxScore
32224Chicago Wolves3Tucson Roadrunners4LBoxScore
36245Chicago Wolves0Ontario Reign2LBoxScore
37256Providence Bruins6Chicago Wolves5LXXBoxScore
39273Chicago Wolves4Laval Rocket1WBoxScore
41284Toronto Marlies4Chicago Wolves2LBoxScore
43303Chicago Wolves2Rockford IceHogs6LBoxScore
45318Ontario Reign2Chicago Wolves4WBoxScore
48340Chicago Wolves2Belleville Senators6LBoxScore
49350Colorado Eagles1Chicago Wolves4WBoxScore
52370Hartford Wolf Pack4Chicago Wolves3LBoxScore
53383Chicago Wolves6Bridgeport Islanders7LXBoxScore
57401Grand Rapids Griffins1Chicago Wolves3WBoxScore
58419Chicago Wolves4Coachella Valley Firebirds3WXXBoxScore
60433Laval Rocket2Chicago Wolves6WBoxScore
63448Chicago Wolves2Iowa Wild4LBoxScore
65466Iowa Wild3Chicago Wolves1LBoxScore
67479Chicago Wolves1Utica Comets0WBoxScore
70495Chicago Wolves2Bakersfield Condors0WBoxScore
72508Cleveland Monsters4Chicago Wolves2LBoxScore
75528Milwaukee Admirals4Chicago Wolves5WXBoxScore
77544Chicago Wolves1San Diego Gulls2LBoxScore
79561Chicago Wolves0Hartford Wolf Pack2LBoxScore
80572Texas Stars2Chicago Wolves4WBoxScore
86594Rochester Americans-Chicago Wolves-
88608Chicago Wolves-Providence Bruins-
90617Chicago Wolves-Milwaukee Admirals-
92628Abbotsford Canucks-Chicago Wolves-
94645Chicago Wolves-Henderson Silver Knights-
95659Chicago Wolves-Tucson Roadrunners-
97670Bridgeport Islanders-Chicago Wolves-
99691San Jose Barracuda-Chicago Wolves-
104716Belleville Senators-Chicago Wolves-
106731Chicago Wolves-Charlotte Checkers-
107745Wilkes-Barre/Scranton Penguins-Chicago Wolves-
109761Chicago Wolves-Cleveland Monsters-
112776Chicago Wolves-Abbotsford Canucks-
113791Calgary Wranglers-Chicago Wolves-
116809Chicago Wolves-Wilkes-Barre/Scranton Penguins-
117820Chicago Wolves-Syracuse Crunch-
118828Hershey Bears-Chicago Wolves-
120855San Diego Gulls-Chicago Wolves-
123874Chicago Wolves-San Jose Barracuda-
124884Henderson Silver Knights-Chicago Wolves-
128907Tucson Roadrunners-Chicago Wolves-
142922Chicago Wolves-Rochester Americans-
144928Chicago Wolves-Springfield Thunderbirds-
147949Rockford IceHogs-Chicago Wolves-
150971Lehigh Valley Phantoms-Chicago Wolves-
152980Chicago Wolves-Calgary Wranglers-
154997Chicago Wolves-Hershey Bears-
1561008Chicago Wolves-Manitoba Moose-
1581018Manitoba Moose-Chicago Wolves-
Trade Deadline --- Trades can’t be done after this day is simulated!
1601039Chicago Wolves-Lehigh Valley Phantoms-
1621050Coachella Valley Firebirds-Chicago Wolves-
1641071Chicago Wolves-Grand Rapids Griffins-
1651076Chicago Wolves-Colorado Eagles-
1671085Utica Comets-Chicago Wolves-
1701112Syracuse Crunch-Chicago Wolves-
1741140Bakersfield Condors-Chicago Wolves-
1781169Springfield Thunderbirds-Chicago Wolves-
1811183Chicago Wolves-Texas Stars-
1861203Charlotte Checkers-Chicago Wolves-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance33,80216,283
Attendance PCT93.89%90.46%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
20 2783 - 92.75% 118,150$2,126,699$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
1,297,968$ 2,501,750$ 2,501,750$ 500,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 1,079,542$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,362,999$ 107 15,799$ 1,690,493$




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
1Vasily Ponomarev492725521227610312421.77%2589018.1689171630344348.55%11.1713
2Brendan Lemieux30153247063926811213.39%2066122.06711181504424042.00%01.4200
3Adam Gaudette42212445-2541058915713.38%2881319.37410141102261052.35%01.1101
4Jackson Blake3620163628595613015.38%2374520.7275121800022048.72%00.9702
5Matthew Poitras291024341846719110.99%1656319.420881000043160.09%01.2112

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
1Dylan Wells1811500.9023.10100720525303384000
2Yaniv Perets178710.8932.949810248447256100.8336
3Kevin Poulin156800.8504.0079500533532220000
4Troy Grosenick1961000.8992.9495920474672730100
5Jack LaFontaine61310.8464.48295002214398100.6673

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
Regular Season
202330151302000117105121567020005855315960000059509341171903070020544128201793003365883288205651782937.18%913462.64%525053846.47%23750946.56%20846544.73%570269602305634315
202437112002121106119-1318510010115458-419610011105261-93210616927512173748510162303734012110583512067681163328.45%1033466.99%136668653.35%32467647.93%25950351.49%701345792376744359
Total Regular Season67263304121223224-133111703011112113-134151601110111111066223359582123791897183640967373726194163941114191946231.96%1946864.95%6616122450.33%561118547.34%46796848.24%127261413946811378674
Playoff
2023514000001223-112110000068-230300000615-92121628005430109444421013447367711436.36%18477.78%2337245.83%277336.99%306744.78%84341075210754
Total Playoff514000001223-112110000068-230300000615-92121628005430109444421013447367711436.36%18477.78%2337245.83%277336.99%306744.78%84341075210754

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
1Brendan Lemieux553811019102520.00%411523.06112320230040.00%01.3900
2Gabriel Carlsson5145-28712520.00%512725.4411220110000%00.7900
3Jamieson Rees5224-52571513.33%49218.41022200010046.67%00.8700
4Adam Gaudette5033-61097100%18717.43022200000064.71%00.6900
5Anton Levtchi5112-4059147.14%610120.21101100001016.67%00.4000

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
1Kevin Poulin51400.8215.002400020112700000
2Dylan Wells20000.8643.055900322140000