Login

Chicago Wolves
GP: 8 | W: 3 | L: 5 | OTL: 0 | P: 6
GF: 14 | GA: 21 | PP%: 9.09% | PK%: 82.86%
GM : | Morale : 40 | Team Overall : 62
Next Games #129 vs Portland Pirates
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Rockford IceHogs
3-3-2, 8pts
2
FINAL
1 Chicago Wolves
3-5-0, 6pts
Team Stats
L1StreakL4
2-1-1Home Record0-4-0
1-2-1Away Record3-1-0
3-3-2Last 10 Games3-5-0
2.38Goals Per Game1.75
2.38Goals Against Per Game2.63
27.27%Power Play Percentage9.09%
85.00%Penalty Kill Percentage82.86%
Peoria Rivermen
4-6-0, 8pts
3
FINAL
2 Chicago Wolves
3-5-0, 6pts
Team Stats
L1StreakL4
1-3-0Home Record0-4-0
3-3-0Away Record3-1-0
4-6-0Last 10 Games3-5-0
2.00Goals Per Game1.75
2.50Goals Against Per Game2.63
17.95%Power Play Percentage9.09%
77.27%Penalty Kill Percentage82.86%
Chicago Wolves
3-5-0, 6pts
2021-08-27
Portland Pirates
4-3-0, 8pts
Team Stats
L4StreakL1
0-4-0Home Record2-2-0
3-1-0Away Record2-1-0
3-5-0Last 10 Games4-3-0
1.75Goals Per Game3.29
2.63Goals Against Per Game2.71
9.09%Power Play Percentage14.63%
82.86%Penalty Kill Percentage81.08%
Milwaukee Admirals
5-2-1, 11pts
2021-08-30
Chicago Wolves
3-5-0, 6pts
Team Stats
W1StreakL4
4-0-0Home Record0-4-0
1-2-1Away Record3-1-0
5-2-1Last 10 Games3-5-0
2.88Goals Per Game1.75
2.13Goals Against Per Game2.63
23.68%Power Play Percentage9.09%
89.19%Penalty Kill Percentage82.86%
Texas Stars
7-1-1, 15pts
2021-09-04
Chicago Wolves
3-5-0, 6pts
Team Stats
OTL1StreakL4
2-1-1Home Record0-4-0
5-0-0Away Record3-1-0
7-1-1Last 10 Games3-5-0
2.56Goals Per Game1.75
1.56Goals Against Per Game2.63
9.68%Power Play Percentage9.09%
85.29%Penalty Kill Percentage82.86%
Team Leaders
Oscar DanskWins
Oscar Dansk
3
Charlie LindgrenSave Percentage
Charlie Lindgren
1

Team Stats
Goals For
14
1.75 GFG
Shots For
134
16.75 Avg
Power Play Percentage
9.1%
3 GF
Offensive Zone Start
38.1%
Goals Against
21
2.63 GAA
Shots Against
157
19.63 Avg
Penalty Kill Percentage
82.9%
6 GA
Defensive Zone Start
40.7%
Team Info

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


Arena Info

Capacity3,000
Attendance0
Season Tickets0


Roster Info

Pro Team26
Farm Team18
Contract Limit44 / 250
Prospects0


Team History

This Season3-5-0 (6PTS)
History162-147-35 (0.471%)
Playoff Appearances2
Playoff Record (W-L)3-8
Stanley Cup0


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Michael RasmussenX100.0078488763987571647361626563616286406402221,651,000$
2Milan LucicX100.0094716659907388625665615759807346406403343,954,000$
3Denis MalginX100.0067388666657880647765626166656361406302421,740,000$
4Brett MurrayX100.0083478958978587575456556258636264406202352,101,000$
5Brett RitchieX100.0084507861897375595257586059736862406202842,036,000$
6Nick LappinX100.0058428960727973615458596260756556406102843,438,000$
7Turner ElsonX100.0061568258738891595557575658756857406102832,364,000$
8Dave GustX100.0051458959658685575458585657716659406002741,467,000$
9Yannick WeberX100.0071398564727378623063566152807341406403232,620,000$
10Brandon DavidsonX100.0064458761827672593058586053776955406303022,620,000$
11Joey KeaneX100.0059488564728987633062555652616463406302241,944,000$
12Andrew PeekeX100.0064429061827567593060586247636277406202321,895,000$
13Nelson NogierX100.0062478859797776583057566053676459406202552,374,000$
14Christian DjoosX100.0058408862707974613063565753716653406102732,399,000$
15Alec McCreaX100.0070468655857473533054505746696554406002651,315,000$
Scratches
1Brian GibbonsX100.0055437961657677596063586259807247406103322,130,000$
2Lias AnderssonX100.0063428461757778627458596065636287406102241,637,000$
3Mikhail MaltsevX100.0067448159838481585355575659636266406002332,220,000$
4Joseph CramarossaX100.0059706657738986565254545557756855405902832,643,000$
5Jermaine LoewenX100.0076596654907572535150525754635954405702341,722,000$
6Kevin HancockX100.0053408656687776555351545752626159405702321,428,000$
7Dysin MayoX100.0062518656768789543052535745676456406102552,479,000$
8David QuennevilleX100.0053418756667372543055525345636264405702341,245,000$
TEAM AVERAGE100.00664883607879795947585759556965604061
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
1Oscar Dansk100.007670688275747675747675717574407302712,871,496$
2Charlie Lindgren100.007565637374737574737574737758407102752,023,787$
Scratches
1Brad Thiessen100.006566647064636564636564848851406603534,313,983$
TEAM AVERAGE100.0072676575717072717072717680614070
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Paul MacLean62746071938751CAN651500,000$


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
1Brandon DavidsonChicago Wolves (VAN)D8066260948110.00%416520.65011527011023000.00%000000.7300000002
2Michael RasmussenChicago Wolves (VAN)C8235120416184211.11%218923.640002220001300152.20%18200000.5300000110
3Brett RitchieChicago Wolves (VAN)RW831442088142921.43%016320.420003261011121050.00%800000.4900000110
4Denis MalginChicago Wolves (VAN)C813404051314687.14%219123.920222280001150054.36%14900000.4200000000
5Milan LucicChicago Wolves (VAN)LW8314-2180328133723.08%118923.741013240000201140.87%11500000.4200000011
6Yannick WeberChicago Wolves (VAN)D8224-110014832266.67%818423.01101228000022000.00%000000.4300000000
7Joey KeaneChicago Wolves (VAN)D8033-140458570.00%1017521.94011729000027000.00%000000.3400000000
8Nelson NogierChicago Wolves (VAN)D8022280586140.00%1316220.29011427000022000.00%000000.2500000000
9Nick LappinChicago Wolves (VAN)RW8112-50003175115.88%115219.04112730000000066.67%900000.2600000000
10Turner ElsonChicago Wolves (VAN)LW8202-40026103420.00%114217.8500007000051039.29%2800000.2800000100
11Andrew PeekeChicago Wolves (VAN)D8011-5601152220.00%312015.01000020000000100.00%100000.1700000000
12Dave GustChicago Wolves (VAN)RW8011-320019120.00%012015.1100002000000044.44%900000.1700000000
13Alec McCreaChicago Wolves (VAN)D8000-120331000.00%1587.2900001000050028.57%700000.0000000000
14Brett MurrayChicago Wolves (VAN)LW8000-480117103120.00%418022.600000290000150043.75%3200000.0000000000
15Christian DjoosChicago Wolves (VAN)D8000-540731020.00%812515.660001100008000.00%000000.0000000000
Team Total or Average120142438-2276011598134387310.45%58232119.353693629011232103249.07%54000000.3300000333
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
1Oscar DanskChicago Wolves (VAN)83500.8652.7446020211560000.000080000
2Charlie LindgrenChicago Wolves (VAN)10001.0000.001800010000.000008000
Team Total or Average93500.8662.6347920211570000.000088000


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
Alec McCreaChicago Wolves (VAN)D261/12/1995No208 Lbs6 ft3NoNoNo5Pro & Farm1,315,000$0$0$No1,315,000$1,315,000$1,315,000$1,315,000$Link / NHL Link
Andrew PeekeChicago Wolves (VAN)D233/17/1998No194 Lbs6 ft3NoNoNo2Pro & Farm1,895,000$0$0$No1,895,000$Link / NHL Link
Brad ThiessenChicago Wolves (VAN)G353/19/1986No180 Lbs6 ft0NoNoNo3Pro & Farm4,313,983$0$0$No4,313,983$4,313,983$Link / NHL Link
Brandon DavidsonChicago Wolves (VAN)D308/21/1991No208 Lbs6 ft2NoNoNo2Pro & Farm2,620,000$0$0$No2,620,000$Link / NHL Link
Brett MurrayChicago Wolves (VAN)LW237/20/1998No236 Lbs6 ft5NoNoNo5Pro & Farm2,101,000$0$0$No2,101,000$2,101,000$2,101,000$2,101,000$Link / NHL Link
Brett RitchieChicago Wolves (VAN)RW287/1/1993No220 Lbs6 ft4NoNoNo4Pro & Farm2,036,000$0$0$No2,036,000$2,036,000$2,036,000$Link / NHL Link
Brian GibbonsChicago Wolves (VAN)C332/26/1988No175 Lbs5 ft8NoNoNo2Pro & Farm2,130,000$0$0$No2,130,000$Link / NHL Link
Charlie LindgrenChicago Wolves (VAN)G2712/18/1993No180 Lbs6 ft1NoNoNo5Pro & Farm2,023,787$0$0$No2,023,787$2,023,787$2,023,787$2,023,787$Link / NHL Link
Christian DjoosChicago Wolves (VAN)D278/6/1994No180 Lbs6 ft0NoNoNo3Pro & Farm2,399,000$0$0$No2,399,000$2,399,000$Link / NHL Link
Dave GustChicago Wolves (VAN)RW272/21/1994No174 Lbs5 ft10NoNoNo4Pro & Farm1,467,000$0$0$No1,467,000$1,467,000$1,467,000$Link / NHL Link
David QuennevilleChicago Wolves (VAN)D233/13/1998No189 Lbs5 ft8NoNoNo4Pro & Farm1,245,000$0$0$No1,245,000$1,245,000$1,245,000$Link / NHL Link
Denis MalginChicago Wolves (VAN)C241/18/1997No177 Lbs5 ft9NoNoNo2Pro & Farm1,740,000$0$0$No1,740,000$Link / NHL Link
Dysin MayoChicago Wolves (VAN)D258/17/1996No194 Lbs6 ft1NoNoNo5Pro & Farm2,479,000$0$0$No2,479,000$2,479,000$2,479,000$2,479,000$Link / NHL Link
Jermaine LoewenChicago Wolves (VAN)RW231/18/1998No220 Lbs6 ft4NoNoNo4Pro & Farm1,722,000$0$0$No1,722,000$1,722,000$1,722,000$Link / NHL Link
Joey KeaneChicago Wolves (VAN)D227/2/1999No187 Lbs6 ft0NoNoNo4Pro & Farm1,944,000$0$0$No1,944,000$1,944,000$1,944,000$Link / NHL Link
Joseph CramarossaChicago Wolves (VAN)LW2810/26/1992No192 Lbs6 ft0NoNoNo3Pro & Farm2,643,000$0$0$No2,643,000$2,643,000$Link / NHL Link
Kevin HancockChicago Wolves (VAN)LW233/2/1998No180 Lbs5 ft11NoNoNo2Pro & Farm1,428,000$0$0$No1,428,000$Link / NHL Link
Lias AnderssonChicago Wolves (VAN)C2210/13/1998No190 Lbs6 ft1NoNoNo4Pro & Farm1,637,000$0$0$No1,637,000$1,637,000$1,637,000$Link / NHL Link
Michael RasmussenChicago Wolves (VAN)C224/17/1999No229 Lbs6 ft6NoNoNo2Pro & Farm1,651,000$0$0$No1,651,000$Link / NHL Link
Mikhail MaltsevChicago Wolves (VAN)LW233/12/1998No198 Lbs6 ft3NoNoNo3Pro & Farm2,220,000$0$0$No2,220,000$2,220,000$Link / NHL Link
Milan LucicChicago Wolves (VAN)LW336/7/1988No231 Lbs6 ft3NoNoNo4Pro & Farm3,954,000$0$0$No3,954,000$3,954,000$3,954,000$Link / NHL Link
Nelson NogierChicago Wolves (VAN)D255/27/1996No191 Lbs6 ft2NoNoNo5Pro & Farm2,374,000$0$0$No2,374,000$2,374,000$2,374,000$2,374,000$Link / NHL Link
Nick LappinChicago Wolves (VAN)RW2811/1/1992No175 Lbs6 ft1NoNoNo4Pro & Farm3,438,000$0$0$No3,438,000$3,438,000$3,438,000$Link / NHL Link
Oscar DanskChicago Wolves (VAN)G272/28/1994No195 Lbs6 ft3NoNoNo1Pro & Farm2,871,496$0$0$NoLink / NHL Link
Turner ElsonChicago Wolves (VAN)LW289/13/1992No195 Lbs6 ft0NoNoNo3Pro & Farm2,364,000$0$0$No2,364,000$2,364,000$Link / NHL Link
Yannick WeberChicago Wolves (VAN)D329/23/1988No200 Lbs5 ft11NoNoNo3Pro & Farm2,620,000$0$0$No2,620,000$2,620,000$Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2626.42196 Lbs6 ft13.382,255,049$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Milan LucicMichael RasmussenBrett Ritchie40122
2Brett MurrayDenis MalginNick Lappin30122
3Turner ElsonMilan LucicDave Gust20122
4Denis MalginMichael RasmussenBrett Ritchie10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Yannick WeberJoey Keane40122
2Brandon DavidsonNelson Nogier30122
3Andrew PeekeChristian Djoos20122
4Alec McCreaYannick Weber10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Milan LucicMichael RasmussenBrett Ritchie60122
2Brett MurrayDenis MalginNick Lappin40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Yannick WeberJoey Keane60122
2Brandon DavidsonNelson Nogier40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Milan LucicMichael Rasmussen60122
2Denis MalginBrett Ritchie40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Yannick WeberJoey Keane60122
2Brandon DavidsonNelson Nogier40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Milan Lucic60122Yannick WeberJoey Keane60122
2Michael Rasmussen40122Brandon DavidsonNelson Nogier40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Milan LucicMichael Rasmussen60122
2Denis MalginBrett Ritchie40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Yannick WeberJoey Keane60122
2Brandon DavidsonNelson Nogier40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Milan LucicMichael RasmussenBrett RitchieYannick WeberJoey Keane
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Milan LucicMichael RasmussenBrett RitchieYannick WeberJoey Keane
Extra Forwards
Normal PowerPlayPenalty Kill
Turner Elson, Dave Gust, Brett MurrayTurner Elson, Dave GustBrett Murray
Extra Defensemen
Normal PowerPlayPenalty Kill
Andrew Peeke, Christian Djoos, Alec McCreaAndrew PeekeChristian Djoos, Alec McCrea
Penalty Shots
Milan Lucic, Michael Rasmussen, Denis Malgin, Brett Ritchie, Brett Murray
Goalie
#1 : Oscar Dansk, #2 : Charlie Lindgren
Custom OT Lines Forwards
Milan Lucic, Michael Rasmussen, Denis Malgin, Brett Ritchie, Brett Murray, Turner Elson, Turner Elson, Nick Lappin, Dave Gust, ,
Custom OT Lines Defensemen
Yannick Weber, Joey Keane, Brandon Davidson, Nelson Nogier, Andrew Peeke


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 Heat321000007701010000024-22200000053240.6677121900635047424646061303241900.00%13284.62%110120649.03%10622048.18%5811450.88%1821241955910149
2Peoria Rivermen1010000023-11010000023-10000000000000.00024600635012424646015812225240.00%6183.33%010120649.03%10622048.18%5811450.88%1821241955910149
3Portland Pirates2110000046-2000000000002110000046-220.5004711006350354246460441318321119.09%9277.78%010120649.03%10622048.18%5811450.88%1821241955910149
4Rochester Americans1010000003-31010000003-30000000000000.00000000635016424646026489400.00%40100.00%010120649.03%10622048.18%5811450.88%1821241955910149
5Rockford IceHogs1010000012-11010000012-10000000000000.000112006350244246460113812400.00%3166.67%010120649.03%10622048.18%5811450.88%1821241955910149
Total835000001421-740400000512-74310000099060.375142438006350134424646015758781163339.09%35682.86%110120649.03%10622048.18%5811450.88%1821241955910149
_Since Last GM Reset835000001421-740400000512-74310000099060.375142438006350134424646015758781163339.09%35682.86%110120649.03%10622048.18%5811450.88%1821241955910149
_Vs Conference624000001015-540400000512-72200000053240.3331017270063509942464601134560842229.09%26484.62%110120649.03%10622048.18%5811450.88%1821241955910149
_Vs Division502000001113-21020000024-24000000099000.0001119300063508242464601054350732015.00%22481.82%110120649.03%10622048.18%5811450.88%1821241955910149

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
86L4142438134157587811600
All Games
GPWLOTWOTL SOWSOLGFGA
83500001421
Home Games
GPWLOTWOTL SOWSOLGFGA
4040000512
Visitor Games
GPWLOTWOTL SOWSOLGFGA
431000099
Last 10 Games
WLOTWOTL SOWSOL
350000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3339.09%35682.86%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
42464606350
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
10120649.03%10622048.18%5811450.88%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1821241955910149


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
1 - 2021-08-013Chicago Wolves2Portland Pirates1WBoxScore
3 - 2021-08-0313Chicago Wolves2Abbotsford Heat1WBoxScore
6 - 2021-08-0629Rochester Americans3Chicago Wolves0LBoxScore
11 - 2021-08-1148Chicago Wolves3Abbotsford Heat2WBoxScore
14 - 2021-08-1461Abbotsford Heat4Chicago Wolves2LBoxScore
16 - 2021-08-1675Chicago Wolves2Portland Pirates5LBoxScore
18 - 2021-08-1885Rockford IceHogs2Chicago Wolves1LBoxScore
24 - 2021-08-24112Peoria Rivermen3Chicago Wolves2LBoxScore
27 - 2021-08-27129Chicago Wolves-Portland Pirates-
30 - 2021-08-30141Milwaukee Admirals-Chicago Wolves-
35 - 2021-09-04167Texas Stars-Chicago Wolves-
38 - 2021-09-07181Chicago Wolves-Rochester Americans-
42 - 2021-09-11200Charlotte Checkers-Chicago Wolves-
44 - 2021-09-13213Chicago Wolves-Abbotsford Heat-
47 - 2021-09-16230Connecticut Whale-Chicago Wolves-
49 - 2021-09-18240Chicago Wolves-Peoria Rivermen-
53 - 2021-09-22257Chicago Wolves-Springfield Falcons-
55 - 2021-09-24267Adirondack Phantoms-Chicago Wolves-
60 - 2021-09-29292Chicago Wolves-Chicago Wolves-
64 - 2021-10-03312Chicago Wolves-Worcester Sharks-
66 - 2021-10-05322Worcester Sharks-Chicago Wolves-
70 - 2021-10-09346Oklahoma City Barons-Chicago Wolves-
73 - 2021-10-12358Chicago Wolves-Oklahoma City Barons-
77 - 2021-10-16378Syracuse Crunch-Chicago Wolves-
79 - 2021-10-18388Chicago Wolves-Hershey Bears-
82 - 2021-10-21405Chicago Wolves-Albany Devils-
84 - 2021-10-23415Wilkes-Barre/Scranton Penguins-Chicago Wolves-
87 - 2021-10-26428Chicago Wolves-Syracuse Crunch-
91 - 2021-10-30448Hamilton Bulldogs-Chicago Wolves-
97 - 2021-11-05474St. John's-Chicago Wolves-
100 - 2021-11-08491Chicago Wolves-Providence Bruins-
102 - 2021-11-10505Charlotte Checkers-Chicago Wolves-
104 - 2021-11-12516Chicago Wolves-Grand Rapids Griffins-
106 - 2021-11-14534Milwaukee Admirals-Chicago Wolves-
108 - 2021-11-16546Chicago Wolves-Adirondack Phantoms-
110 - 2021-11-18559Chicago Wolves-Chicago Wolves-
113 - 2021-11-21571Bridgeport Sound Tigers-Chicago Wolves-
116 - 2021-11-24593Chicago Wolves-Wilkes-Barre/Scranton Penguins-
118 - 2021-11-26604Norfolk Admirals-Chicago Wolves-
120 - 2021-11-28614Chicago Wolves-Manchester Monarchs-
123 - 2021-12-01630Chicago Wolves-Portland Pirates-
125 - 2021-12-03640Connecticut Whale-Chicago Wolves-
131 - 2021-12-09665Lake Erie Monsters-Chicago Wolves-
135 - 2021-12-13690Manchester Monarchs-Chicago Wolves-
138 - 2021-12-16707Chicago Wolves-Milwaukee Admirals-
141 - 2021-12-19721Adirondack Phantoms-Chicago Wolves-
146 - 2021-12-24742Chicago Wolves-Connecticut Whale-
150 - 2021-12-28757Toronto Marlies-Chicago Wolves-
152 - 2021-12-30764Chicago Wolves-Rochester Americans-
156 - 2022-01-03787Texas Stars-Chicago Wolves-
158 - 2022-01-05801Chicago Wolves-Texas Stars-
161 - 2022-01-08814Chicago Wolves-San Antonio Rampage-
162 - 2022-01-09822Providence Bruins-Chicago Wolves-
166 - 2022-01-13836Chicago Wolves-Norfolk Admirals-
168 - 2022-01-15847Chicago Wolves-Lake Erie Monsters-
170 - 2022-01-17855Rochester Americans-Chicago Wolves-
174 - 2022-01-21877Chicago Wolves-St. John's-
176 - 2022-01-23886Binghamton Senators-Chicago Wolves-
179 - 2022-01-26901Chicago Wolves-Toronto Marlies-
181 - 2022-01-28916Albany Devils-Chicago Wolves-
184 - 2022-01-31927Chicago Wolves-Bridgeport Sound Tigers-
186 - 2022-02-02941Chicago Wolves-Binghamton Senators-
188 - 2022-02-04948Hershey Bears-Chicago Wolves-
193 - 2022-02-09977Springfield Falcons-Chicago Wolves-
198 - 2022-02-141004Houston Aeros-Chicago Wolves-
200 - 2022-02-161018Chicago Wolves-Milwaukee Admirals-
Trade Deadline --- Trades can’t be done after this day is simulated!
203 - 2022-02-191035Peoria Rivermen-Chicago Wolves-
206 - 2022-02-221047Chicago Wolves-Abbotsford Heat-
208 - 2022-02-241059Chicago Wolves-Rockford IceHogs-
210 - 2022-02-261070Abbotsford Heat-Chicago Wolves-
215 - 2022-03-031097Abbotsford Heat-Chicago Wolves-
217 - 2022-03-051105Chicago Wolves-Peoria Rivermen-
220 - 2022-03-081123Chicago Wolves-Rockford IceHogs-
223 - 2022-03-111134Grand Rapids Griffins-Chicago Wolves-
229 - 2022-03-171161Rockford IceHogs-Chicago Wolves-
231 - 2022-03-191165Chicago Wolves-Houston Aeros-
234 - 2022-03-221176Chicago Wolves-Hamilton Bulldogs-
238 - 2022-03-261193Portland Pirates-Chicago Wolves-
239 - 2022-03-271199Chicago Wolves-Charlotte Checkers-
246 - 2022-04-031229San Antonio Rampage-Chicago Wolves-
251 - 2022-04-081249San Antonio Rampage-Chicago Wolves-
254 - 2022-04-111268Chicago Wolves-Charlotte Checkers-



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$ 5,863,126$ 5,863,126$ 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$ 230 24,856$ 5,716,880$




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
1Denis Gurianov15458901482362173826039.62%57352822.911028381113031010347.19%10.84111
2Gabriel Dumont1404071111-11842554814908.16%52289920.7111223373000177351.05%00.7719
3Brendan Gaunce125446110529631712924519.76%24253520.2881927933141311252.99%30.8314
4Austin Czarnik160376198-1120522544817.69%28267016.69614207001126747.04%00.7312
5Thomas Schemitsch150146175-231172571612226.31%230343422.90715221050111100.00%00.4400

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
1Linus Ullmark1287042110.9132.72752616534139370860.85714
2Parker Milner69322960.8993.2939458121621450310.6679
3Jeremy Helvig74283850.9013.3841852223623880010.82829
4Linus Ullmark37181220.9122.902046209911270011.0003
5Scott Greenham147610.8963.7879440504810101.0006

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
201682402507622260225354123120230113110625411713053211291191010626045671614096827327150873901916262275387919443117022.51%3716383.02%51503290251.79%1607305952.53%652133148.99%1921127319406571106552
201782333605521235249-1441161504420112118-641172101101123131-88623541865361074906426080817889875256975788020013305717.27%3566581.74%31516295951.23%1555294652.78%688130452.76%1948131619356331076529
2018822935010512258279-2141141906002130141-1141151604510128138-1087258474732210101796726270839848904282679581520483126520.83%3486780.75%21556289753.71%1601306952.17%675131351.41%1869124220166411079530
201982204605353224281-5741102102152121140-1941102503201103141-386622440362713077706726730879878888282189163619562154018.60%2695579.55%21504293351.28%1432288649.62%651129050.47%1942134019726021068522
4835000001421-740400000512-7431000009906142438006350134424646015758781163339.09%35682.86%110120649.03%10622048.18%5811450.88%1821241955910149
Total Regular Season336125147027191089911055-641686371014875499517-1816862760131133492538-46351991177527661096351326271107574234543562358310995325432888065120123519.57%137925681.44%1361801189751.95%63011218051.73%2724535250.90%786352968059259544322185
Playoff
2016624000001014-4321000008713030000027-54101525100343185073526017854681542328.70%26292.31%111321652.31%9620048.00%449347.31%14698131448140
2018514000001021-1121100000810-230300000211-921018281003341230274155177455212512325.00%21480.95%08315653.21%10918259.89%427556.00%11274122386531
Total Playoff1138000002035-15532000001617-160600000418-1462033532006773080100931153559912027935514.29%47687.23%119637252.69%20538253.66%8616851.19%2581732548314672

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
1Brian Strait6246-310189238.70%914524.25202120000100.00%00.8200
2Austin Czarnik5235-10371612.50%111022.02011200000033.33%00.9100
3Ales Hemsky5123-4206616.67%27815.73101200001052.63%00.7600
4Ben Thomson5213-142081020.00%28917.99000100000044.44%00.6700
5Kurtis MacDermid5123-108258714.29%511523.0011250000000.00%00.5200

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
1Linus Ullmark62400.9272.1835800131770110.0000
2Parker Milner41300.9043.1920700111140110.0000
3Adam Carlson10100.60016.0015004100000.0000
4Linus Ullmark20000.9043.9077005520000.0000