Login

Chicago Wolves
GP: 68 | W: 32 | L: 28 | OTL: 8 | P: 72
GF: 214 | GA: 217 | PP%: 12.75% | PK%: 80.26%
GM : Petr Glotzmann | Morale : 50 | Team Overall : 54
Next Games #1086 vs Lehigh Valley Phantoms
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Chicago Wolves
32-28-8, 72pts
1
FINAL
3 Toronto Marlies
32-29-6, 70pts
Team Stats
L4StreakW2
19-13-3Home Record15-14-4
13-15-5Home Record17-15-2
4-6-0Last 10 Games5-5-0
3.15Goals Per Game2.78
3.19Goals Against Per Game2.76
12.75%Power Play Percentage17.03%
80.26%Penalty Kill Percentage84.87%
Chicago Wolves
32-28-8, 72pts
4
FINAL
6 Belleville Senators
37-22-7, 81pts
Team Stats
L4StreakW1
19-13-3Home Record19-11-5
13-15-5Home Record18-11-2
4-6-0Last 10 Games5-4-1
3.15Goals Per Game2.91
3.19Goals Against Per Game2.62
12.75%Power Play Percentage17.61%
80.26%Penalty Kill Percentage82.09%
Lehigh Valley Phantoms
34-26-9, 77pts
Day 133
Chicago Wolves
32-28-8, 72pts
Team Stats
L1StreakL4
19-12-4Home Record19-13-3
15-14-5Away Record13-15-5
4-4-2Last 10 Games4-6-0
2.61Goals Per Game3.15
2.43Goals Against Per Game3.15
17.61%Power Play Percentage12.75%
85.19%Penalty Kill Percentage80.26%
Chicago Wolves
32-28-8, 72pts
Day 135
Bridgeport Islanders
46-20-1, 93pts
Team Stats
L4StreakW7
19-13-3Home Record25-7-1
13-15-5Away Record21-13-0
4-6-0Last 10 Games9-1-0
3.15Goals Per Game3.61
3.19Goals Against Per Game3.61
12.75%Power Play Percentage17.37%
80.26%Penalty Kill Percentage82.49%
Chicago Wolves
32-28-8, 72pts
Day 136
Hershey Bears
33-25-9, 75pts
Team Stats
L4StreakL2
19-13-3Home Record14-15-3
13-15-5Away Record19-10-6
4-6-0Last 10 Games5-5-0
3.15Goals Per Game2.46
3.19Goals Against Per Game2.46
12.75%Power Play Percentage19.87%
80.26%Penalty Kill Percentage81.53%
Team Leaders
Brandon DuhaimeGoals
Brandon Duhaime
24
Sam CarrickAssists
Sam Carrick
40
Brandon DuhaimePoints
Brandon Duhaime
58
Sam CarrickPlus/Minus
Sam Carrick
29
Cory SchneiderWins
Cory Schneider
16
Save Percentage
Dylan Garand
0.903

Team Stats
Goals For
214
3.15 GFG
Shots For
2041
30.01 Avg
Power Play Percentage
12.8%
19 GF
Offensive Zone Start
41.1%
Goals Against
217
3.19 GAA
Shots Against
1823
26.81 Avg
Penalty Kill Percentage
80.3%%
45 GA
Defensive Zone Start
38.3%
Team Info

General ManagerPetr Glotzmann
DivisionAtlantic Division
ConferenceEastern Conference
Captain
Assistant #1Sam Carrick
Assistant #2Gerry Mayhew


Arena Info

Capacity3,000
Attendance0
Season Tickets300


Roster Info

Pro Team29
Farm Team18
Contract Limit47 / 80
Prospects38


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
1Brandon DuhaimeXX100.00878857727771796352526470616456050620261900,000$
2Sam Carrick (A)X100.007977547174707961745555695974670506203111,200,000$
3Nathan WalkerX100.007555747267708162756053725970620506202911,000,000$
4Tyson Foerster (R)X100.007040747376816165506058686854450506102131,000,000$
5Simon Holmstrom (R)XX100.00613585707871785950556067625646050600222900,000$
6Marian StudenicXX100.00664076697467606350515058616252050570242700,000$
7Tyce Thompson (R)X100.00603776697167606150515066606051050570242700,000$
8Gerry Mayhew (A)XX100.006541726762495255405057586474660505603011,000,000$
9Graeme ClarkeX100.00593582666945585840575856625646050550229100,000$
10Austin PoganskiX100.00563579587745605035504859546656050540271800,000$
11Jack DuganX100.00584969577944595036495155616253050530259100,000$
12Brent PedersenX100.005135865181485248304552564768570505202810100,000$
13Riley StillmanX100.00776264677575785430595770526253050630252500,000$
14Connor CarrickX100.00754073677179605330555561537061050600291800,000$
15Trevor CarrickX100.00585465567152565530565362537061050560291700,000$
16Nicolas MelocheX100.00614076558152604730494463496454050560262500,000$
17Ryan MerkleyX100.00623977597156574830504262525848050550231800,000$
18Josh WesleyX100.005438795481505844304546575064550505402710100,000$
Scratches
1Tyler BirdX100.00573574567444544643454856526657050520277100,000$
2Dylan SadowyXX100.00533575537745524430434455496657050500276100,000$
3Ryan LohinX100.005436805572465543304343555566560505002710100,000$
4Filip EngarasX100.00523585567640454230404555536052050490249100,000$
5Fedor SvechkovXXX100.004444444444444444444545444450500504502010100,000$
6Leo LoofX100.004544444444444444304444454450500504502110100,000$
7Maksymilian SzuberX100.004544444444444444304444454450500504502110100,000$
TEAM AVERAGE100.0061457160715659524050515955625405055
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
1Sebastian Cossa100.0053575490545052525354555446050530209100,000$
2Dylan Garand100.0057524964595657585858565443050530218100,000$
Scratches
1Callum Booth100.0042444181454143434450556454050490267100,000$
2Erik Portillo (R)100.0030303030303030303030305050050370237100,000$
TEAM AVERAGE100.004646446647444646464849564805048
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
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
1Jesper BoqvistHurricanesC/LW62293160102061652426413911.98%16128320.704593511500061323151.36%140200000.9405000253
2Brandon DuhaimeChicago Wolves (CAR)LW/RW68243458159410222972306116810.43%14128518.91358281310004551251.96%10200010.9000011415
3Nathan WalkerChicago Wolves (CAR)LW682137581820045104217561229.68%18140520.673362212100091985161.29%12400100.8300000352
4Sam CarrickChicago Wolves (CAR)C681640562995151691671556413710.32%10131019.271341512801131923059.34%160100000.8500120622
5Tyson FoersterChicago Wolves (CAR)RW6824305428180471032086814011.54%11110816.2915626130000003244.07%5900000.97110000335
6Riley StillmanChicago Wolves (CAR)D679384759551516082305510.98%102161824.155510341370001160000%100000.5800010214
7Simon HolmstromChicago Wolves (CAR)LW/RW6816284417402271198541308.08%12115116.93033191150001303048.00%7500000.7614000106
8Gerry MayhewChicago Wolves (CAR)C/RW68101929-91407988123471008.13%992613.620110180000172043.53%98100000.63310000131
9Marian StudenicChicago Wolves (CAR)LW/RW68151429-94071831273810411.81%786012.660220100003343042.31%7800000.6701000313
10Trevor CarrickChicago Wolves (CAR)D6871623174351123244152215.91%56138620.3900061101012154100%000000.3300001200
11Tyce ThompsonChicago Wolves (CAR)RW6891120-26032519521539.47%116349.33000000111982045.97%12400000.6300000011
12Connor CarrickChicago Wolves (CAR)D6841418338081434216389.52%67154522.72022697000097100%000000.2300000210
13Austin PoganskiChicago Wolves (CAR)RW6871017-1610023367735559.09%1388312.99000229000070141.43%7000000.3938000011
14Graeme ClarkeChicago Wolves (CAR)RW6831114-72027567217354.17%55508.09101640000000044.06%54700000.5111000002
15Nicolas MelocheChicago Wolves (CAR)D682121420300101192315258.70%69136320.050222800000161000%000000.2100000012
16Ryan MerkleyChicago Wolves (CAR)D4921012-416065281551513.33%3685317.420000180000112000%000000.2800000010
17Phillip Di GiuseppeHurricanesLW/RW1245916011153882610.53%222318.651013210000100035.29%1700000.8011000001
18Jack DuganChicago Wolves (CAR)LW56448-87527163261812.50%24067.2500002000000147.06%1700000.3900001000
19Maksymilian SzuberChicago Wolves (CAR)D200449203133100%931915.9900004000011000%000000.2500000000
20Josh WesleyChicago Wolves (CAR)D28213-9100217103320.00%3143715.6200016000041010%000000.1400000000
21Leo LoofChicago Wolves (CAR)D40112929554170114.29%1862115.5300009000029000%000000.0600001000
22Brent PedersenChicago Wolves (CAR)LW6011-200431000%0549.1400001000080036.07%6100000.3600000000
23Fedor SvechkovChicago Wolves (CAR)C/LW/RW40011-220321030%0721.82000010000030050.00%200000.2700000000
Team Total or Average126420937258111354745140412502042624138910.24%5182030316.06193655205134312330156027951.04%526100110.571040144292638
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
1Cory SchneiderHurricanes28161110.8873.04159742817140001.00010281130
2Gage AlexanderHurricanes3313940.8842.98171221857340020.684192730100
3Dylan GarandChicago Wolves (CAR)133530.9032.5862802272770010.72711930201
4Sebastian CossaChicago Wolves (CAR)50300.8324.971930016950000047000
Team Total or Average79322880.8853.034133652091820003406868431


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contrat Signature Date Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Austin PoganskiChicago Wolves (CAR)RW2707.07.1996No201 Lbs6 ft2NoNoN/ANoNo1Pro & Farm800,000$140,000$0$0$No------------------NHL Link
Brandon DuhaimeChicago Wolves (CAR)LW/RW2607.07.1997No200 Lbs6 ft2NoNoN/ANoNo1Pro & Farm900,000$157,500$0$0$No------------------NHL Link
Brent PedersenChicago Wolves (CAR)LW2807.07.1995No214 Lbs6 ft3NoNoN/ANoNo10Farm Only100,000$17,500$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NoNoNoNoNoNoNoNoNo
Callum BoothChicago Wolves (CAR)G2607.07.1997No194 Lbs6 ft4NoNoN/ANoNo7Farm Only100,000$17,500$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$---NoNoNoNoNoNo---NHL Link
Connor CarrickChicago Wolves (CAR)D2907.07.1994No198 Lbs5 ft10NoNoN/ANoNo1Pro & Farm800,000$140,000$0$0$No------------------NHL Link
Dylan GarandChicago Wolves (CAR)G2107.07.2002No172 Lbs6 ft0NoNoN/ANoNo8Farm Only100,000$17,500$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$--NoNoNoNoNoNoNo--
Dylan SadowyChicago Wolves (CAR)LW/RW2707.07.1996No205 Lbs6 ft1NoNoN/ANoNo6Farm Only100,000$17,500$0$0$No100,000$100,000$100,000$100,000$100,000$----NoNoNoNoNo----
Erik PortilloChicago Wolves (CAR)G2307.07.2000 13:46:04Yes224 Lbs6 ft6NoNoN/ANoNo7Farm Only100,000$17,500$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$---NoNoNoNoNoNo---
Fedor SvechkovChicago Wolves (CAR)C/LW/RW2007.07.2003 11:18:51No187 Lbs6 ft0NoNoTrade08.04.2024NoNo10Farm Only100,000$17,500$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NoNoNoNoNoNoNoNoNo
Filip EngarasChicago Wolves (CAR)C2407.07.1999No201 Lbs6 ft1NoNoN/ANoNo9Farm Only100,000$17,500$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$-NoNoNoNoNoNoNoNo-
Gerry MayhewChicago Wolves (CAR)C/RW3007.07.1993No161 Lbs5 ft9NoNoN/ANoNo1Pro & Farm1,000,000$175,000$0$0$No------------------NHL Link
Graeme ClarkeChicago Wolves (CAR)RW2207.07.2001No174 Lbs6 ft0NoNoN/ANoNo9Farm Only100,000$17,500$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$-NoNoNoNoNoNoNoNo-NHL Link
Jack DuganChicago Wolves (CAR)LW2507.07.1998No209 Lbs6 ft2NoNoN/ANoNo9Farm Only100,000$17,500$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$-NoNoNoNoNoNoNoNo-NHL Link
Josh WesleyChicago Wolves (CAR)D2707.07.1996No195 Lbs6 ft3NoNoN/ANoNo10Farm Only100,000$17,500$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NoNoNoNoNoNoNoNoNoNHL Link
Leo LoofChicago Wolves (CAR)D2107.07.2002 18:23:57No187 Lbs6 ft1NoNoN/ANoNo10Farm Only100,000$17,500$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NoNoNoNoNoNoNoNoNo
Maksymilian SzuberChicago Wolves (CAR)D2107.07.2002 18:24:48No190 Lbs6 ft3NoNoN/ANoNo10Farm Only100,000$17,500$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NoNoNoNoNoNoNoNoNo
Marian StudenicChicago Wolves (CAR)LW/RW2407.07.1999No190 Lbs6 ft1NoNoN/ANoNo2Pro & Farm700,000$122,500$0$0$No700,000$--------No--------NHL Link
Nathan WalkerChicago Wolves (CAR)LW2907.07.1994No187 Lbs5 ft9NoNoN/ANoNo1Pro & Farm1,000,000$175,000$0$0$No------------------NHL Link
Nicolas MelocheChicago Wolves (CAR)D2607.07.1997No212 Lbs6 ft3NoNoN/ANoNo2Pro & Farm500,000$87,500$0$0$No500,000$--------No--------NHL Link
Riley StillmanChicago Wolves (CAR)D2507.07.1998No196 Lbs6 ft1NoNoN/ANoNo2Pro & Farm500,000$87,500$0$0$No500,000$--------No--------NHL Link
Ryan LohinChicago Wolves (CAR)C2707.07.1996No192 Lbs6 ft0NoNoN/ANoNo10Farm Only100,000$17,500$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NoNoNoNoNoNoNoNoNoNHL Link
Ryan MerkleyChicago Wolves (CAR)D2307.07.2000No185 Lbs6 ft0NoNoN/ANoNo1Pro & Farm800,000$140,000$0$0$No------------------NHL Link
Sam CarrickChicago Wolves (CAR)C3107.07.1992No200 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,200,000$210,000$0$0$No------------------NHL Link
Sebastian CossaChicago Wolves (CAR)G2007.07.2003No209 Lbs6 ft6NoNoN/ANoNo9Farm Only100,000$17,500$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$-NoNoNoNoNoNoNoNo-
Simon HolmstromChicago Wolves (CAR)LW/RW2207.07.2001Yes205 Lbs6 ft2NoNoN/ANoNo2Pro & Farm900,000$157,500$0$0$No900,000$--------No--------NHL Link
Trevor CarrickChicago Wolves (CAR)D2907.07.1994No172 Lbs6 ft2NoNoN/ANoNo1Pro & Farm700,000$122,500$0$0$No------------------NHL Link
Tyce ThompsonChicago Wolves (CAR)RW2407.07.1999Yes175 Lbs6 ft1NoNoN/ANoNo2Pro & Farm700,000$122,500$0$0$No700,000$--------No--------NHL Link
Tyler BirdChicago Wolves (CAR)RW2707.07.1996No192 Lbs6 ft1NoNoN/ANoNo7Farm Only100,000$17,500$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$---NoNoNoNoNoNo---
Tyson FoersterChicago Wolves (CAR)RW2107.07.2002Yes194 Lbs6 ft2NoNoN/ANoNo3Pro & Farm1,000,000$175,000$0$0$No1,000,000$1,000,000$-------NoNo-------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2925.00194 Lbs6 ft15.24448,276$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nathan WalkerSam CarrickBrandon Duhaime40122
2Simon HolmstromGerry MayhewTyson Foerster33122
3Marian StudenicGraeme ClarkeAustin Poganski24122
4Jack DuganBrent PedersenTyce Thompson3122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Riley StillmanConnor Carrick40122
2Nicolas MelocheTrevor Carrick33122
3Josh WesleyRyan Merkley22122
4Riley StillmanConnor Carrick5122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nathan WalkerSam CarrickBrandon Duhaime60122
2Simon HolmstromGerry MayhewTyson Foerster40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Riley StillmanConnor Carrick60122
2Nicolas MelocheTrevor Carrick40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Sam CarrickNathan Walker60122
2Gerry MayhewBrandon Duhaime40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Riley StillmanNicolas Meloche60122
2Connor CarrickTrevor Carrick40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Nathan Walker60122Riley StillmanNicolas Meloche60122
2Brandon Duhaime40122Connor CarrickTrevor Carrick40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Gerry MayhewSimon Holmstrom60122
2Marian StudenicNathan Walker40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Riley StillmanConnor Carrick60122
2Nicolas MelocheTrevor Carrick40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Nathan WalkerSam CarrickBrandon DuhaimeConnor CarrickRiley Stillman
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Nathan WalkerSam CarrickBrandon DuhaimeConnor CarrickRiley Stillman
Extra Forwards
Normal PowerPlayPenalty Kill
Austin Poganski, Simon Holmstrom, Tyce ThompsonAustin Poganski, Simon HolmstromTyce Thompson
Extra Defensemen
Normal PowerPlayPenalty Kill
Trevor Carrick, Connor Carrick, Nicolas MelocheTrevor CarrickConnor Carrick, Nicolas Meloche
Penalty Shots
Tyson Foerster, Gerry Mayhew, Austin Poganski, Brandon Duhaime, Simon Holmstrom
Goalie
#1 : Sebastian Cossa, #2 : Dylan Garand


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 Canucks20200000713-61010000025-31010000058-300.0007132000866555134870366963475751623398112.50%7185.71%01097216050.79%1043201551.76%544108450.18%164711301594509903447
2Bakersfield Condors2010000159-41010000025-31000000134-110.2505101500866555134170366963475631247495120.00%10190.00%01097216050.79%1043201551.76%544108450.18%164711301594509903447
3Belleville Senators30200100611-51010000002-22010010069-310.1676121800866555138370366963475831724553133.33%10280.00%01097216050.79%1043201551.76%544108450.18%164711301594509903447
4Bridgeport Islanders31200000913-42110000079-21010000024-220.33391726008665551385703669634751062220546233.33%9366.67%01097216050.79%1043201551.76%544108450.18%164711301594509903447
5Calgary Wranglers20000011770100000105411000000123-130.7507121900866555137170366963475461414442150.00%7271.43%01097216050.79%1043201551.76%544108450.18%164711301594509903447
6Charlotte Checkers3120000010100211000008711010000023-120.333101929008665551390703669634758428286710110.00%14378.57%01097216050.79%1043201551.76%544108450.18%164711301594509903447
7Cleveland Monsters22000000514110000002111100000030341.000591401866555136070366963475631212378112.50%60100.00%01097216050.79%1043201551.76%544108450.18%164711301594509903447
8Coachella Valley Firebirds210010001165100010004311100000073441.00011193000866555136370366963475374837300.00%40100.00%01097216050.79%1043201551.76%544108450.18%164711301594509903447
9Colorado Eagles210000016511000000134-11100000031230.750610160086655513557036696347558162842200.00%8187.50%01097216050.79%1043201551.76%544108450.18%164711301594509903447
10Grand Rapids Griffins2010000135-21010000023-11000000112-110.2503580086655513497036696347551122444600.00%12283.33%01097216050.79%1043201551.76%544108450.18%164711301594509903447
11Hartford Wolf Pack30200010912-31010000034-12010001068-220.3339132200866555139170366963475782520738112.50%9277.78%01097216050.79%1043201551.76%544108450.18%164711301594509903447
12Henderson Silver Knights22000000734110000002021100000053241.000711180186655513747036696347533128476116.67%4250.00%01097216050.79%1043201551.76%544108450.18%164711301594509903447
13Hershey Bears21100000541110000004041010000014-320.500510150186655513657036696347547101443300.00%7442.86%01097216050.79%1043201551.76%544108450.18%164711301594509903447
14Iowa Wild220000001349110000008261100000052341.00013213400866555139070366963475321217374375.00%10100.00%01097216050.79%1043201551.76%544108450.18%164711301594509903447
15Laval Rocket21000010853210000108530000000000041.00081018008665551376703669634753410837500.00%4175.00%01097216050.79%1043201551.76%544108450.18%164711301594509903447
16Lehigh Valley Phantoms3020001059-41010000024-22010001035-220.33356110086655513727036696347585141448700.00%70100.00%01097216050.79%1043201551.76%544108450.18%164711301594509903447
17Manitoba Moose2020000048-41010000024-21010000024-200.00048122086655513667036696347559186516116.67%30100.00%01097216050.79%1043201551.76%544108450.18%164711301594509903447
18Milwaukee Admirals2010000149-51000000134-11010000015-410.250481200866555136070366963475501920437114.29%9277.78%01097216050.79%1043201551.76%544108450.18%164711301594509903447
19Ontario Reign22000000734110000005321100000020241.000714210186655513507036696347541148397114.29%40100.00%01097216050.79%1043201551.76%544108450.18%164711301594509903447
20Providence Bruins1000010034-1000000000001000010034-110.5003690086655513377036696347537161024100.00%5180.00%01097216050.79%1043201551.76%544108450.18%164711301594509903447
21Rochester Americans3210000011101211000008801100000032140.66711213200866555138770366963475883622699222.22%10190.00%11097216050.79%1043201551.76%544108450.18%164711301594509903447
22Rockford IceHogs11000000413110000004130000000000021.0004711008665551330703669634752051226000%60100.00%01097216050.79%1043201551.76%544108450.18%164711301594509903447
23San Diego Gulls22000000853110000003211100000053241.000813210086655513457036696347538131645400.00%80100.00%01097216050.79%1043201551.76%544108450.18%164711301594509903447
24San Jose Barracuda2010100078-11010000024-21000100054120.500714210086655513657036696347557162231200.00%11372.73%01097216050.79%1043201551.76%544108450.18%164711301594509903447
25Springfield Thunderbirds1000010034-11000010034-10000000000010.50034700866555132970366963475295425200.00%220.00%01097216050.79%1043201551.76%544108450.18%164711301594509903447
26Syracuse Crunch3010101011101100010004312010001077040.6671117280086655513907036696347586222962400.00%12466.67%01097216050.79%1043201551.76%544108450.18%164711301594509903447
27Texas Stars2110000068-2110000004311010000025-320.500611170086655513577036696347578151850400.00%8362.50%01097216050.79%1043201551.76%544108450.18%164711301594509903447
28Toronto Marlies2110000045-1000000000002110000045-120.50047110086655513737036696347553241839300.00%7185.71%01097216050.79%1043201551.76%544108450.18%164711301594509903447
29Tucson Roadrunners20200000710-31010000024-21010000056-100.000711181086655513577036696347549241434400.00%7185.71%01097216050.79%1043201551.76%544108450.18%164711301594509903447
30Utica Comets3120000089-1211000008441010000005-520.3338152300866555139770366963475762425557114.29%8275.00%01097216050.79%1043201551.76%544108450.18%164711301594509903447
31W-B/Scranton Penguins321000001165220000008261010000034-140.6671118290186655513857036696347587311855300.00%9188.89%01097216050.79%1043201551.76%544108450.18%164711301594509903447
Total68242803355214217-33515130212211810414339150123396113-17720.5292143715853586655513204170366963475182351855114011491912.75%2284580.26%11097216050.79%1043201551.76%544108450.18%164711301594509903447
_Since Last GM Reset68242803355214217-33515130212211810414339150123396113-17720.5292143715853586655513204170366963475182351855114011491912.75%2284580.26%11097216050.79%1043201551.76%544108450.18%164711301594509903447
_Vs Conference38121801241108114-619980101064521219310002314462-18370.4871081852930386655513114070366963475105830328676283910.84%1292779.07%11097216050.79%1043201551.76%544108450.18%164711301594509903447
_Vs Division19710000205660-496400000302821016000202632-6180.47456971530086655513585703669634755161651633974149.76%741579.73%11097216050.79%1043201551.76%544108450.18%164711301594509903447

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
6872L421437158520411823518551140135
All Games
GPWLOTWOTL SOWSOLGFGA
6824283355214217
Home Games
GPWLOTWOTL SOWSOLGFGA
3515132122118104
Visitor Games
GPWLOTWOTL SOWSOLGFGA
33915123396113
Last 10 Games
WLOTWOTL SOWSOL
460000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1491912.75%2284580.26%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
7036696347586655513
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1097216050.79%1043201551.76%544108450.18%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
164711301594509903447


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
12Belleville Senators2Chicago Wolves0BLBoxScore
323Chicago Wolves5San Diego Gulls3AWBoxScore
433Chicago Wolves2Ontario Reign0AWBoxScore
649Chicago Wolves5San Jose Barracuda4AWXBoxScore
862Chicago Wolves7Coachella Valley Firebirds3AWBoxScore
1078Chicago Wolves3Colorado Eagles1AWBoxScore
1290Chicago Wolves3Syracuse Crunch4ALBoxScore
13101Coachella Valley Firebirds3Chicago Wolves4BWXBoxScore
15117San Jose Barracuda4Chicago Wolves2BLBoxScore
17131Chicago Wolves0Lehigh Valley Phantoms3ALBoxScore
19145Chicago Wolves5Hartford Wolf Pack4AWXXBoxScore
21161Chicago Wolves2Bridgeport Islanders4ALBoxScore
23180Rochester Americans4Chicago Wolves5BWBoxScore
26206Chicago Wolves2Charlotte Checkers3ALBoxScore
27214Chicago Wolves4Syracuse Crunch3AWXXBoxScore
30235Lehigh Valley Phantoms4Chicago Wolves2BLBoxScore
31242Chicago Wolves1Hershey Bears4ALBoxScore
33258W-B/Scranton Penguins2Chicago Wolves4BWBoxScore
36283Bakersfield Condors5Chicago Wolves2BLBoxScore
38303Syracuse Crunch3Chicago Wolves4BWXBoxScore
39307Cleveland Monsters1Chicago Wolves2BWBoxScore
41324Chicago Wolves3Lehigh Valley Phantoms2AWXXBoxScore
43340Bridgeport Islanders3Chicago Wolves4BWBoxScore
44349Rochester Americans4Chicago Wolves3BLBoxScore
46367Chicago Wolves2Manitoba Moose4ALBoxScore
48387Chicago Wolves3Bakersfield Condors4ALXXBoxScore
49395Chicago Wolves2Calgary Wranglers3ALXXBoxScore
51413Chicago Wolves5Abbotsford Canucks8ALBoxScore
53423Chicago Wolves2Belleville Senators3ALXBoxScore
55441Chicago Wolves1Grand Rapids Griffins2ALXXBoxScore
57457Hershey Bears0Chicago Wolves4BWBoxScore
58464Milwaukee Admirals4Chicago Wolves3BLXXBoxScore
61489Henderson Silver Knights0Chicago Wolves2BWBoxScore
63506Chicago Wolves3W-B/Scranton Penguins4ALBoxScore
64514Bridgeport Islanders6Chicago Wolves3BLBoxScore
66531Laval Rocket2Chicago Wolves3BWXXBoxScore
69557Chicago Wolves1Milwaukee Admirals5ALBoxScore
70564Chicago Wolves3Toronto Marlies2AWBoxScore
72580Springfield Thunderbirds4Chicago Wolves3BLXBoxScore
74598Chicago Wolves1Hartford Wolf Pack4ALBoxScore
80645San Diego Gulls2Chicago Wolves3BWBoxScore
81651W-B/Scranton Penguins0Chicago Wolves4BWBoxScore
83669Ontario Reign3Chicago Wolves5BWBoxScore
86694Grand Rapids Griffins3Chicago Wolves2BLBoxScore
88709Iowa Wild2Chicago Wolves8BWBoxScore
90723Chicago Wolves3Providence Bruins4ALXBoxScore
91734Utica Comets1Chicago Wolves7BWBoxScore
94761Tucson Roadrunners4Chicago Wolves2BLBoxScore
95768Abbotsford Canucks5Chicago Wolves2BLBoxScore
98794Utica Comets3Chicago Wolves1BLBoxScore
100810Colorado Eagles4Chicago Wolves3BLXXBoxScore
102830Chicago Wolves2Texas Stars5ALBoxScore
104847Chicago Wolves5Tucson Roadrunners6ALBoxScore
105858Chicago Wolves5Henderson Silver Knights3AWBoxScore
107869Rockford IceHogs1Chicago Wolves4BWBoxScore
109885Texas Stars3Chicago Wolves4BWBoxScore
110895Chicago Wolves3Rochester Americans2AWBoxScore
112910Charlotte Checkers2Chicago Wolves4BWBoxScore
114929Chicago Wolves5Iowa Wild2AWBoxScore
116945Chicago Wolves3Cleveland Monsters0AWBoxScore
117953Manitoba Moose4Chicago Wolves2BLBoxScore
119972Calgary Wranglers4Chicago Wolves5BWXXBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
122993Chicago Wolves0Utica Comets5ALBoxScore
1231002Laval Rocket3Chicago Wolves5BWBoxScore
1261026Hartford Wolf Pack4Chicago Wolves3BLBoxScore
1281043Charlotte Checkers5Chicago Wolves4BLBoxScore
1301060Chicago Wolves1Toronto Marlies3ALBoxScore
1311067Chicago Wolves4Belleville Senators6ALBoxScore
1331086Lehigh Valley Phantoms-Chicago Wolves-
1351101Chicago Wolves-Bridgeport Islanders-
1361105Chicago Wolves-Hershey Bears-
1391130Chicago Wolves-W-B/Scranton Penguins-
1401139Toronto Marlies-Chicago Wolves-
1441172Chicago Wolves-Laval Rocket-
1461188Grand Rapids Griffins-Chicago Wolves-
1481204Providence Bruins-Chicago Wolves-
1491213Hershey Bears-Chicago Wolves-
1511231Cleveland Monsters-Chicago Wolves-
1531243Chicago Wolves-Providence Bruins-
1551266Chicago Wolves-Springfield Thunderbirds-
1571282Chicago Wolves-Rockford IceHogs-
1591295Chicago Wolves-Cleveland Monsters-



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
6 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,218,635$ 1,300,000$ 1,300,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
8,125$ 1,218,635$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 28 8,125$ 227,500$




Chicago Wolves Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Chicago Wolves Goalies Stat Leaders (Regular Season)

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

Chicago Wolves Career Team Stats

OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Chicago Wolves Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Chicago Wolves Goalies Stat Leaders (Play-Off)

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