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Chicago Wolves
GP: 6 | W: 1 | L: 5 | OTL: 0 | P: 2
GF: 8 | GA: 13 | PP%: 14.29% | PK%: 92.11%
GM : | Morale : 35 | Team Overall : 63
Next Games #128 vs Rochester Americans
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Game Center
Charlotte Checkers
5-3-0, 10pts
2
FINAL
0 Chicago Wolves
1-5-0, 2pts
Team Stats
L1StreakL5
1-2-0Home Record1-3-0
4-1-0Away Record0-2-0
5-3-0Last 10 Games1-5-0
2.25Goals Per Game1.33
1.88Goals Against Per Game2.17
18.37%Power Play Percentage14.29%
89.66%Penalty Kill Percentage92.11%
Chicago Wolves
1-5-0, 2pts
2
FINAL
3 Abbotsford Heat
6-1-0, 12pts
Team Stats
L5StreakW2
1-3-0Home Record4-0-0
0-2-0Away Record2-1-0
1-5-0Last 10 Games6-1-0
1.33Goals Per Game3.29
2.17Goals Against Per Game1.57
14.29%Power Play Percentage21.21%
92.11%Penalty Kill Percentage80.00%
Chicago Wolves
1-5-0, 2pts
2022-06-29
Rochester Americans
4-4-0, 8pts
Team Stats
L5StreakW2
1-3-0Home Record1-2-0
0-2-0Away Record3-2-0
1-5-0Last 10 Games4-4-0
1.33Goals Per Game2.25
2.17Goals Against Per Game2.25
14.29%Power Play Percentage8.11%
92.11%Penalty Kill Percentage86.49%
Connecticut Whale
3-4-1, 7pts
2022-06-30
Chicago Wolves
1-5-0, 2pts
Team Stats
W1StreakL5
1-1-1Home Record1-3-0
2-3-0Away Record0-2-0
3-4-1Last 10 Games1-5-0
1.25Goals Per Game1.33
1.88Goals Against Per Game1.33
7.14%Power Play Percentage14.29%
87.80%Penalty Kill Percentage92.11%
Chicago Wolves
1-5-0, 2pts
2022-07-03
Rockford IceHogs
3-3-1, 7pts
Team Stats
L5StreakW2
1-3-0Home Record2-2-0
0-2-0Away Record1-1-1
1-5-0Last 10 Games3-3-1
1.33Goals Per Game1.86
2.17Goals Against Per Game1.86
14.29%Power Play Percentage16.22%
92.11%Penalty Kill Percentage84.38%
Team Leaders
Nico SturmGoals
Nico Sturm
3
Erik BrannstromAssists
Erik Brannstrom
4
Erik BrannstromPoints
Erik Brannstrom
4
Plus/Minus
Josh Leivo
2
Wins
Cayden Primeau
1
Save Percentage
Cayden Primeau
0.884

Team Stats
Goals For
8
1.33 GFG
Shots For
81
13.50 Avg
Power Play Percentage
14.3%
3 GF
Offensive Zone Start
38.4%
Goals Against
13
2.17 GAA
Shots Against
112
18.67 Avg
Penalty Kill Percentage
92.1%%
3 GA
Defensive Zone Start
42.0%
Team Info

General Manager
DivisionDivision 5
ConferenceConference 2
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance0
Season Tickets0


Roster Info

Pro Team37
Farm Team18
Contract Limit55 / 250
Prospects0


Team History

This Season1-5-0 (2PTS)
History119-106-28 (0.470%)
Playoff Appearances2
Playoff Record (W-L)0-4
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.
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7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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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
1Josh LeivoXX100.0062359469798777685569676166756953366602950$
2Nico SturmXX100.0072398863858077627665647463726654366602722,450,000$
3Grigori DenisenkoX100.0079359168717877696567626374616484366502231,857,000$
4Matt MartinXX100.0099877863907387625563646259807334366503333,115,000$
5Steven FogartyX100.0056338465847974637164627062756854366502954,066,000$
6Keegan KolesarX100.0088767967847772626366615862676465366402531,905,000$
7Mitchell StephensX100.0072359365708680637764626063676474366402541,461,000$
8Jeff MalottX100.0075576963848085615755656264696542366302522,373,000$
9Jakob LiljaX100.0057359562776569635763616362756836366202921,941,000$
10Erik BrannstromX100.0062397276668287713072596452636583366702242,942,000$
11Vincent DesharnaisX100.0086777356958388573058516345696547366602622,136,000$
12Jake BischoffX100.0072547165758478623060576250737043366502832,727,000$
13Connor MackeyX100.0066428565787773623068636152696542366402552,558,000$
14Dylan SambergX100.0083718662817883583056526145636274366402311,375,000$
15Zack HayesX100.0078527455878186543055526045636238366302352,465,000$
16Rob O'GaraX100.0080567557896771553053545946756841366202912,440,000$
17Yegor RykovX100.0073369160827671583062545847676456366202521,849,000$
Scratches
1Andrew OglevieX100.0059438266687479647361635665716752346202711,762,000$
2Scott SabourinX100.0076826961857379605462615561776936346203022,570,000$
3Alexandre AlainXX100.0067438258768893596858575659676855346102541,603,000$
4Christopher WilkieX100.0063576861727873596257646366696450346102641,484,000$
5Joona KoppanenX100.0079369156887176565855576057656356346002411,248,000$
6Peter AbbandonatoX100.0062359258716774577259585658656354345902450$
7Brent PedersenX100.0073359355826873575355545652716556345802741,911,000$
8Nick HenryX100.0061358358707782575253565458636264345802341,679,000$
9Tristan MullinX100.0071547257807165565352585955696542345802521,475,000$
10Jakob StukelX100.0062369054717580545653565455676448345702541,957,000$
11Griffen MolinoX100.0058388755676065556058545355736737345602832,884,000$
12Ben GleasonX100.0056517665737984633060545952656358346202421,415,000$
13Evan McEnenyX100.0072527454817375533051555646736737346002822,277,000$
14Hunter WarnerX100.0078586751876065513050535645716642345902611,988,000$
15Jalen SmereckX100.0063428554726368543056545546676443345802531,661,000$
TEAM AVERAGE100.00714982617975776050595860566966523562
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.
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7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
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# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Cayden Primeau100.007986838278777978777978657056367602213,366,089$
2Alexei Melnichuk100.007582807874737574737574657063367202422,067,681$
Scratches
1Gilles Senn100.007274728871707271707271697355347102652,151,386$
2Olle Eriksson Ek100.007280778171707271707271636773347002340$
3Griffen Outhouse100.006379777162616362616362656944346402431,658,033$
TEAM AVERAGE100.0072807880717072717072716570583571
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


Filter Tips
PriorityTypeDescription
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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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
1Erik BrannstromChicago Wolves (VAN)D6044-140442130.00%613622.73022217000034000.00%000000.5900000010
2Nico SturmChicago Wolves (VAN)C/LW631402039192915.79%214023.421125160002370023.4210100000.5700000100
3Josh LeivoChicago Wolves (VAN)LW/RW612320021111589.09%315425.821122160000360025.827500000.3900000001
4Connor MackeyChicago Wolves (VAN)D6022-220733200.00%611218.82011317000029000.00%000000.3500000000
5Grigori DenisenkoChicago Wolves (VAN)LW6202-32057100820.00%010918.29000217000000018.29900000.3600000000
6Jeff MalottChicago Wolves (VAN)LW6022-2001125440.00%28213.6901101000030013.69800000.4900000000
7Jakob LiljaChicago Wolves (VAN)LW6011-300070030.00%07512.55000000000160012.551200000.2700000000
8Keegan KolesarChicago Wolves (VAN)RW6011-32401436670.00%010918.25000117000000018.25500000.1800000000
9Matt MartinChicago Wolves (VAN)LW/RW6011-11001528170.00%011919.850001170000170019.852200000.1700000000
10Mitchell StephensChicago Wolves (VAN)C6101-10021151320.00%37913.3310110000041013.337000000.2500000001
11Rob O'GaraChicago Wolves (VAN)D6101-14021100100.00%4396.630000000000000.00%000000.5000000001
12Steven FogartyChicago Wolves (VAN)C6011-4200106260.00%213021.710000170000190021.719600000.1500000000
13Vincent DesharnaisChicago Wolves (VAN)D6011-11201362020.00%813222.05000217000030000.00%000000.1500000000
14Dylan SambergChicago Wolves (VAN)D6000-160721010.00%06711.180000000000000.00%000000.00%00000000
15Jake BischoffChicago Wolves (VAN)D6000-2601342120.00%611318.84000217000028000.00%000000.00%00000000
16Yegor RykovChicago Wolves (VAN)D6000-100230010.00%47512.5300000000010000.00%000000.00%00000000
17Zack HayesChicago Wolves (VAN)D6000-160220000.00%2447.390000000002000.00%000000.00%00000000
Team Total or Average10281624-25800102878125649.88%48172216.893692117600022721048.24%39800000.2800000113
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
1Cayden PrimeauChicago Wolves (VAN)61500.8842.1735900131120000.00%060000
Team Total or Average61500.8842.173590013112000060000


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 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
Alexandre AlainChicago Wolves (VAN)C/RW253/3/1997No180 Lbs6 ft2NoNoNo4Pro & Farm1,603,000$0$0$No1,603,000$1,603,000$1,603,000$Link
Alexei MelnichukChicago Wolves (VAN)G246/29/1998No190 Lbs6 ft2NoNoNo2Pro & Farm2,067,681$0$0$No2,067,681$Link
Andrew OglevieChicago Wolves (VAN)C272/16/1995No180 Lbs5 ft11NoNoNo1Pro & Farm1,762,000$0$0$NoLink
Ben GleasonChicago Wolves (VAN)D243/25/1998No180 Lbs6 ft1NoNoNo2Pro & Farm1,415,000$0$0$No1,415,000$Link
Brent PedersenChicago Wolves (VAN)LW277/5/1995No210 Lbs6 ft2NoNoNo4Pro & Farm1,911,000$0$0$No1,911,000$1,911,000$1,911,000$Link
Cayden PrimeauChicago Wolves (VAN)G228/11/1999No209 Lbs6 ft2NoNoNo1Pro & Farm3,366,089$0$0$NoLink
Christopher WilkieChicago Wolves (VAN)RW267/10/1996No190 Lbs6 ft0NoNoNo4Pro & Farm1,484,000$0$0$No1,484,000$1,484,000$1,484,000$Link
Connor MackeyChicago Wolves (VAN)D259/12/1996No190 Lbs6 ft2NoNoNo5Pro & Farm2,558,000$0$0$No2,558,000$2,558,000$2,558,000$2,558,000$Link / NHL Link
Dylan SambergChicago Wolves (VAN)D231/24/1999No190 Lbs6 ft3NoNoNo1Pro & Farm1,375,000$0$0$NoLink / NHL Link
Erik BrannstromChicago Wolves (VAN)D229/2/1999No181 Lbs5 ft9NoNoNo4Pro & Farm2,942,000$0$0$No2,942,000$2,942,000$2,942,000$Link / NHL Link
Evan McEnenyChicago Wolves (VAN)D285/22/1994No203 Lbs6 ft2NoNoNo2Pro & Farm2,277,000$0$0$No2,277,000$Link
Gilles SennChicago Wolves (VAN)G263/1/1996No191 Lbs6 ft5NoNoNo5Pro & Farm2,151,386$0$0$No2,151,386$2,151,386$2,151,386$2,151,386$Link
Griffen MolinoChicago Wolves (VAN)LW281/21/1994No171 Lbs5 ft11NoNoNo3Pro & Farm2,884,000$0$0$No2,884,000$2,884,000$Link
Griffen OuthouseChicago Wolves (VAN)G243/13/1998No185 Lbs6 ft0NoNoNo3Pro & Farm1,658,033$0$0$No1,658,033$1,658,033$Link
Grigori DenisenkoChicago Wolves (VAN)LW226/24/2000No186 Lbs5 ft11NoNoNo3Pro & Farm1,857,000$0$0$No1,857,000$1,857,000$Link
Hunter WarnerChicago Wolves (VAN)D269/21/1995No220 Lbs6 ft3NoNoNo1Pro & Farm1,988,000$0$0$NoLink
Jake BischoffChicago Wolves (VAN)D287/25/1994No188 Lbs6 ft1NoNoNo3Pro & Farm2,727,000$0$0$No2,727,000$2,727,000$Link
Jakob LiljaChicago Wolves (VAN)LW297/23/1993No196 Lbs6 ft1NoNoNo2Pro & Farm1,941,000$0$0$No1,941,000$Link
Jakob StukelChicago Wolves (VAN)LW253/6/1997No182 Lbs6 ft0NoNoNo4Pro & Farm1,957,000$0$0$No1,957,000$1,957,000$1,957,000$Link
Jalen SmereckChicago Wolves (VAN)D251/15/1997No190 Lbs6 ft0NoNoNo3Pro & Farm1,661,000$0$0$No1,661,000$1,661,000$Link
Jeff MalottChicago Wolves (VAN)LW258/7/1996No201 Lbs6 ft3NoNoNo2Pro & Farm2,373,000$0$0$No2,373,000$Link
Joona KoppanenChicago Wolves (VAN)LW242/25/1998No192 Lbs6 ft5NoNoNo1Pro & Farm1,248,000$0$0$NoLink
Josh LeivoChicago Wolves (VAN)LW/RW295/26/1993No192 Lbs6 ft2NoNoNo5Pro & Farm0$0$NoLink
Keegan KolesarChicago Wolves (VAN)RW254/8/1997No217 Lbs6 ft2NoNoNo3Pro & Farm1,905,000$0$0$No1,905,000$1,905,000$Link / NHL Link
Matt MartinChicago Wolves (VAN)LW/RW335/8/1989No220 Lbs6 ft4NoNoNo3Pro & Farm3,115,000$0$0$No3,115,000$3,115,000$Link / NHL Link
Mitchell StephensChicago Wolves (VAN)C252/5/1997No190 Lbs5 ft11NoNoNo4Pro & Farm1,461,000$0$0$No1,461,000$1,461,000$1,461,000$Link / NHL Link
Nick HenryChicago Wolves (VAN)RW237/4/1999No190 Lbs5 ft11NoNoNo4Pro & Farm1,679,000$0$0$No1,679,000$1,679,000$1,679,000$Link
Nico SturmChicago Wolves (VAN)C/LW275/3/1995No207 Lbs6 ft3NoNoNo2Pro & Farm2,450,000$0$0$No2,450,000$Link / NHL Link
Olle Eriksson EkChicago Wolves (VAN)G236/22/1999No189 Lbs6 ft3NoNoNo4Pro & Farm0$0$NoLink
Peter AbbandonatoChicago Wolves (VAN)C243/25/1998No195 Lbs5 ft11NoNoNo5Pro & Farm0$0$NoLink
Rob O'GaraChicago Wolves (VAN)D297/6/1993No214 Lbs6 ft4NoNoNo1Pro & Farm2,440,000$0$0$NoLink
Scott SabourinChicago Wolves (VAN)RW307/30/1992No208 Lbs6 ft3NoNoNo2Pro & Farm2,570,000$0$0$No2,570,000$Link
Steven FogartyChicago Wolves (VAN)C294/19/1993No204 Lbs6 ft3NoNoNo5Pro & Farm4,066,000$0$0$No4,066,000$4,066,000$4,066,000$4,066,000$Link
Tristan MullinChicago Wolves (VAN)LW2510/9/1996No196 Lbs6 ft2NoNoNo2Pro & Farm1,475,000$0$0$No1,475,000$Link
Vincent DesharnaisChicago Wolves (VAN)D265/29/1996No215 Lbs6 ft6NoNoNo2Pro & Farm2,136,000$0$0$No2,136,000$Link
Yegor RykovChicago Wolves (VAN)D254/14/1997No210 Lbs6 ft2NoNoNo2Pro & Farm1,849,000$0$0$No1,849,000$Link
Zack HayesChicago Wolves (VAN)D234/24/1999No219 Lbs6 ft3NoNoNo5Pro & Farm2,465,000$0$0$No2,465,000$2,465,000$2,465,000$2,465,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3725.70197 Lbs6 ft22.951,968,032$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Josh LeivoNico SturmMatt Martin40122
2Grigori DenisenkoSteven FogartyKeegan Kolesar30122
3Jeff MalottMitchell StephensJosh Leivo20122
4Jakob LiljaNico SturmMatt Martin10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Erik BrannstromVincent Desharnais40122
2Jake BischoffConnor Mackey30122
3Dylan SambergYegor Rykov20122
4Zack HayesRob O'Gara10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Josh LeivoNico SturmMatt Martin60122
2Grigori DenisenkoSteven FogartyKeegan Kolesar40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Erik BrannstromVincent Desharnais60122
2Jake BischoffConnor Mackey40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Josh LeivoNico Sturm60122
2Matt MartinSteven Fogarty40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Erik BrannstromVincent Desharnais60122
2Jake BischoffConnor Mackey40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Josh Leivo60122Erik BrannstromVincent Desharnais60122
2Nico Sturm40122Jake BischoffConnor Mackey40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Josh LeivoNico Sturm60122
2Matt MartinSteven Fogarty40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Erik BrannstromVincent Desharnais60122
2Jake BischoffConnor Mackey40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Josh LeivoNico SturmMatt MartinErik BrannstromVincent Desharnais
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Josh LeivoNico SturmMatt MartinErik BrannstromVincent Desharnais
Extra Forwards
Normal PowerPlayPenalty Kill
Jeff Malott, Mitchell Stephens, Jakob LiljaJeff Malott, Mitchell StephensJakob Lilja
Extra Defensemen
Normal PowerPlayPenalty Kill
Dylan Samberg, Yegor Rykov, Zack HayesDylan SambergYegor Rykov, Zack Hayes
Penalty Shots
Josh Leivo, Nico Sturm, Matt Martin, Steven Fogarty, Grigori Denisenko
Goalie
#1 : Cayden Primeau, #2 : Alexei Melnichuk
Custom OT Lines Forwards
Josh Leivo, Nico Sturm, Matt Martin, Steven Fogarty, Grigori Denisenko, Keegan Kolesar, Keegan Kolesar, Jeff Malott, Mitchell Stephens, Jakob Lilja,
Custom OT Lines Defensemen
Erik Brannstrom, Vincent Desharnais, Jake Bischoff, Connor Mackey, Dylan Samberg


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
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 Heat1010000023-1000000000001010000023-100.00024600314015282726023810277228.57%5180.00%07415348.37%8016747.90%387848.72%13183151477737
2Charlotte Checkers1010000002-21010000002-20000000000000.0000000031406282726076149200.00%6183.33%07415348.37%8016747.90%387848.72%13183151477737
3Palm Springs2020000046-22020000046-20000000000000.000481200314033282726048233232600.00%150100.00%07415348.37%8016747.90%387848.72%13183151477737
4Peoria Rivermen11000000211110000002110000000000021.00024600314015282726017514163133.33%7185.71%07415348.37%8016747.90%387848.72%13183151477737
5Rockford IceHogs1010000001-1000000000001010000001-100.0000000031401228272601761018300.00%50100.00%07415348.37%8016747.90%387848.72%13183151477737
Total61500000813-54130000069-32020000024-220.16781624003140812827260112488010221314.29%38392.11%07415348.37%8016747.90%387848.72%13183151477737
_Since Last GM Reset61500000813-54130000069-32020000024-220.16781624003140812827260112488010221314.29%38392.11%07415348.37%8016747.90%387848.72%13183151477737
_Vs Conference61500000813-54130000069-32020000024-220.16781624003140812827260112488010221314.29%38392.11%07415348.37%8016747.90%387848.72%13183151477737
_Vs Division3140000069-32130000046-21010000023-120.333612180031404828272607131425913215.38%20195.00%07415348.37%8016747.90%387848.72%13183151477737

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
62L58162481112488010200
All Games
GPWLOTWOTL SOWSOLGFGA
6150000813
Home Games
GPWLOTWOTL SOWSOLGFGA
413000069
Visitor Games
GPWLOTWOTL SOWSOLGFGA
202000024
Last 10 Games
WLOTWOTL SOWSOL
150000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
21314.29%38392.11%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
28272603140
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
7415348.37%8016747.90%387848.72%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
13183151477737


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
3 - 2022-06-0813Peoria Rivermen1Chicago Wolves2BWBoxScore
6 - 2022-06-1134Palm Springs3Chicago Wolves2BLBoxScore
9 - 2022-06-1445Chicago Wolves0Rockford IceHogs1ALBoxScore
13 - 2022-06-1869Palm Springs3Chicago Wolves2BLBoxScore
19 - 2022-06-2497Charlotte Checkers2Chicago Wolves0BLBoxScore
21 - 2022-06-26109Chicago Wolves2Abbotsford Heat3ALBoxScore
24 - 2022-06-29128Chicago Wolves-Rochester Americans-
25 - 2022-06-30135Connecticut Whale-Chicago Wolves-
28 - 2022-07-03151Chicago Wolves-Rockford IceHogs-
30 - 2022-07-05163Chicago Wolves-Milwaukee Admirals-
33 - 2022-07-08174Rockford IceHogs-Chicago Wolves-
35 - 2022-07-10188Chicago Wolves-Portland Pirates-
37 - 2022-07-12195Chicago Wolves-Manchester Monarchs-
39 - 2022-07-14206Chicago Wolves-Peoria Rivermen-
41 - 2022-07-16216Peoria Rivermen-Chicago Wolves-
45 - 2022-07-20240Milwaukee Admirals-Chicago Wolves-
50 - 2022-07-25265Chicago Wolves-Wilkes-Barre/Scranton Penguins-
52 - 2022-07-27276Rockford IceHogs-Chicago Wolves-
55 - 2022-07-30294Chicago Wolves-Bridgeport Sound Tigers-
57 - 2022-08-01301Chicago Wolves-Charlotte Checkers-
59 - 2022-08-03312Syracuse Crunch-Chicago Wolves-
62 - 2022-08-06325Chicago Wolves-Hamilton Bulldogs-
64 - 2022-08-08341Bridgeport Sound Tigers-Chicago Wolves-
67 - 2022-08-11355Chicago Wolves-Texas Stars-
71 - 2022-08-15375Worcester Sharks-Chicago Wolves-
76 - 2022-08-20400Springfield Falcons-Chicago Wolves-
78 - 2022-08-22416Chicago Wolves-Binghamton Senators-
81 - 2022-08-25433Lake Erie Monsters-Chicago Wolves-
86 - 2022-08-30458St. John's-Chicago Wolves-
91 - 2022-09-04486Binghamton Senators-Chicago Wolves-
97 - 2022-09-10518Norfolk Admirals-Chicago Wolves-
102 - 2022-09-15547Palm Springs-Chicago Wolves-
104 - 2022-09-17555Chicago Wolves-Providence Bruins-
107 - 2022-09-20572Chicago Wolves-Norfolk Admirals-
109 - 2022-09-22582Wilkes-Barre/Scranton Penguins-Chicago Wolves-
115 - 2022-09-28613Abbotsford Heat-Chicago Wolves-
118 - 2022-10-01631Chicago Wolves-Portland Pirates-
121 - 2022-10-04646Hershey Bears-Chicago Wolves-
123 - 2022-10-06658Chicago Wolves-Springfield Falcons-
126 - 2022-10-09674Chicago Wolves-Manchester Monarchs-
128 - 2022-10-11679Manchester Monarchs-Chicago Wolves-
134 - 2022-10-17710Oklahoma City Barons-Chicago Wolves-
138 - 2022-10-21735Chicago Wolves-Lake Erie Monsters-
140 - 2022-10-23741Grand Rapids Griffins-Chicago Wolves-
142 - 2022-10-25757Chicago Wolves-Chicago Wolves-
144 - 2022-10-27762Chicago Wolves-Charlotte Checkers-
146 - 2022-10-29776Charlotte Checkers-Chicago Wolves-
149 - 2022-11-01795Chicago Wolves-Syracuse Crunch-
151 - 2022-11-03802Chicago Wolves-Toronto Marlies-
152 - 2022-11-04813Portland Pirates-Chicago Wolves-
156 - 2022-11-08837Chicago Wolves-Albany Devils-
158 - 2022-11-10843Texas Stars-Chicago Wolves-
160 - 2022-11-12857Chicago Wolves-Abbotsford Heat-
163 - 2022-11-15871Houston Aeros-Chicago Wolves-
168 - 2022-11-20895Chicago Wolves-Houston Aeros-
169 - 2022-11-21906Connecticut Whale-Chicago Wolves-
174 - 2022-11-26934Rochester Americans-Chicago Wolves-
176 - 2022-11-28939Chicago Wolves-Oklahoma City Barons-
178 - 2022-11-30948Chicago Wolves-St. John's-
181 - 2022-12-03960Chicago Wolves-San Antonio Rampage-
184 - 2022-12-06973Adirondack Phantoms-Chicago Wolves-
186 - 2022-12-08987Chicago Wolves-Grand Rapids Griffins-
189 - 2022-12-111005San Antonio Rampage-Chicago Wolves-
193 - 2022-12-151020Chicago Wolves-Rockford IceHogs-
197 - 2022-12-191039Peoria Rivermen-Chicago Wolves-
199 - 2022-12-211051Chicago Wolves-Peoria Rivermen-
Trade Deadline --- Trades can’t be done after this day is simulated!
202 - 2022-12-241066Chicago Wolves-Milwaukee Admirals-
204 - 2022-12-261074Adirondack Phantoms-Chicago Wolves-
207 - 2022-12-291098Chicago Wolves-Adirondack Phantoms-
208 - 2022-12-301105Hamilton Bulldogs-Chicago Wolves-
215 - 2023-01-061134Toronto Marlies-Chicago Wolves-
218 - 2023-01-091149Chicago Wolves-Worcester Sharks-
222 - 2023-01-131166Milwaukee Admirals-Chicago Wolves-
225 - 2023-01-161184Chicago Wolves-Connecticut Whale-
227 - 2023-01-181197Providence Bruins-Chicago Wolves-
229 - 2023-01-201210Chicago Wolves-Hershey Bears-
231 - 2023-01-221217Chicago Wolves-Palm Springs-
233 - 2023-01-241231Albany Devils-Chicago Wolves-
236 - 2023-01-271242Chicago Wolves-Rochester Americans-
241 - 2023-02-011267Providence Bruins-Chicago Wolves-
244 - 2023-02-041281Chicago Wolves-Palm Springs-
250 - 2023-02-101308Chicago Wolves-Chicago Wolves-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
37 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 7,281,720$ 7,281,720$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 231 28,896$ 6,674,976$




Chicago 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
1Steven Fogarty25266931598122348048813.52%42499119.81213556123000210650.8800.6426
2Josh Leivo252698715647368740063410.88%45636625.271123341062461314442.7400.49725
3Keegan Kolesar25239711101439458322736610.66%26469718.648263487000011542.2200.4700
4Michael Frolik1644659105-155010240845410.13%39431426.3110213191325149743.9510.49116
5Matt Martin2524654100-1758881427240311.41%32529221.0012213392112710544.9910.38217

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
1Cayden Primeau1708171170.8892.13990442335131660510.82061
2Dan Vladar823834100.9012.05484021316516710210.66727
3Landon Bow40000.9291.32136203420000.00%0
4Alexei Melnichuk70100.9411.03174003510000.00%0
5Tyler Parks70000.9630.82220003810000.00%0

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
182303404545162174-12411316032348287-5411718013118087-786162289451113506440101588501546497691714484115714413833910.18%5016088.02%71155224151.54%1199242049.55%586109353.61%1946132520086261031507
2823430065431931867412012044101029210411418021339194-3961933325250968684711164056555350248161049699114393755815.47%4445388.06%21147225550.86%1081229547.10%541112048.30%1939132720036251033504
382293704336156168-12411518011247381-8411419032128387-48115627543111450415881461475473489581577516109114233594512.53%4825189.42%21119223750.02%1101228448.20%555107251.77%1932130720176251030508
361500000813-54130000069-32020000024-2281624003140812827260112488010221314.29%38392.11%07415348.37%8016747.90%387848.72%13183151477737
Total Regular Season25294106014131114519541-22127494908768263269-6125455706656256272-1626551991214312361711741492947701569159915141755013154433194405113814512.74%146516788.60%113495688650.76%3461716648.30%1720336351.14%594940436180192431741558
Playoff
240400000515-102020000028-62020000037-4057120030206922211412803285552500.00%29486.21%05011443.86%5912347.97%265646.43%1077597305225
Total Playoff40400000515-102020000028-62020000037-4057120030206922211412803285552500.00%29486.21%05011443.86%5912347.97%265646.43%1077597305225

Chicago 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
1Ben Street4112-2203616.67%07218.05000100000045.9000.5500
2Grigori Denisenko4202010251216.67%15313.45000000000016.6700.7400
3Jake Bischoff4022242440.00%49223.1000040000000.00%00.4300
4Matt Martin4112-112136333.33%19323.27000000000058.8200.4300
5Michael Frolik411200281010.00%211729.27000400000044.8300.3400

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
1Tyler Parks20001.0000.00%3300030000.00%0
2Cayden Primeau40310.8054.042230015770000.00%0