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Chicago Wolves
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Simon | Morale : 40 | Team Overall : 59
Next Games #3 vs Rockford IceHogs
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Chicago Wolves
0-0-0, 0pts
Day 1
Rockford IceHogs
0-0-0, 0pts
Team Stats
N/AStreakN/A
0-0-0Home Record0-0-0
0-0-0Away Record0-0-0
0-0-0Last 10 Games0-0-0
0Goals Per Game0
0Goals Against Per Game0
0%Power Play Percentage0%
0%Penalty Kill Percentage0%
Chicago Wolves
0-0-0, 0pts
Day 3
Grand Rapids Griffins
0-0-0, 0pts
Team Stats
N/AStreakN/A
0-0-0Home Record0-0-0
0-0-0Away Record0-0-0
0-0-0Last 10 Games0-0-0
0Goals Per Game0
0Goals Against Per Game0
0%Power Play Percentage0%
0%Penalty Kill Percentage0%
Texas Stars
0-0-0, 0pts
Day 4
Chicago Wolves
0-0-0, 0pts
Team Stats
N/AStreakN/A
0-0-0Home Record0-0-0
0-0-0Away Record0-0-0
0-0-0Last 10 Games0-0-0
0Goals Per Game0
0Goals Against Per Game0
0%Power Play Percentage0%
0%Penalty Kill Percentage0%
Team Leaders

Team Stats
Team Info

General ManagerSimon
CoachBob Jones
DivisionCentral Division
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets0


Roster Info

Pro Team40
Farm Team18
Contract Limit58 / 70
Prospects28


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 Average
1Max Comtois0XX100.00737080638268826263716468586058037670251775,000$
2Chris Terry0X100.00565963666366656655636460557665040640351775,000$
3Rocco Grimaldi0XX100.00556166645666656555616561576961040630311775,000$
4Cole Schneider0XXX100.00545867626568656255596362567464040620341775,000$
5Jack Drury0X100.006251716462636259736359655556550406202431,250,000$
6Josh Melnick0X100.00545967585967645970575962546559040600291775,000$
7Noel Gunler0XX100.00606060606060606060606060606060037600231775,000$
8Peter Abbandonato0X100.00545667606265636170605761546056040600261775,000$
9Blake Murray0XXX100.00606060606060606060606060606060040600231775,000$
10Alexander Pashin (R)0XX100.00606060606060606060606060606060040600221775,000$
11Justin Robidas (R)0X100.00606060606060606060606060606060040600211775,000$
12Felix Unger Sorum (R)0XX100.00606060606060606060606060606060040600191775,000$
13Jalen Chatfield0X100.006561776470677457406660785459580406602821,750,000$
14Anttoni Honka0X100.00606060606060606060606060606060040600241775,000$
15Aleksi Heimosalmi0X100.00606060606060606060606060606060040600211775,000$
16Tory Dello0X100.00555565576363625640565664546257040590271775,000$
17Austin Strand0X100.00565365587064625540565557546257040580271775,000$
18Mitchell Vande Sompel0X100.00555565576263625740575661556257040580271775,000$
Scratches
1Tuukka Tieksola0XX100.00606060606060606060606060606060040600231775,000$
2Ville Koivunen (R)0XXX100.00606060606060606060606060606060040600211775,000$
3Hudson Elynuik0X100.00575663576863625755565661546257040590271775,000$
4Vasili Ponomaryov0X100.00555567595963626070576159545352040590221775,000$
5Dominic Franco0X100.00565465567262615570555560546358040580281775,000$
6Isaac Ratcliffe0XXX100.00565563586964635755575659545855040580251775,000$
7Kyle Marino0X100.00585461567162625555545558546559040580291775,000$
8Ryan Wagner0XXX100.00555965595866645755565661546358040580281775,000$
9Nate Sucese0XXX100.00525463565464625552535555516155040560281775,000$
10Nathan Sucese0X100.00515264535459575252525259515954040540281775,000$
11Cory Conacher0XX100.00525465525554545352525357517262040540351775,000$
12Hank Crone0XXX100.00515165515251515152515157515853040520261775,000$
13Alex Green0X100.00565465576564625640565461546056040580261775,000$
14Cavan Fitzgerald0X100.00555467576461605640565562546358040580281775,000$
15Matt Donovan0X100.00535561586465635738565358516960040580341775,000$
16Owen Headrick0X100.00545468546354545440545461546257040560271775,000$
17Ronan Seeley0X100.00515264566065625538555354515149040550221775,000$
18Tyson Feist0X100.00515165515852525138515157515250040530231775,000$
TEAM AVERAGE100.0057576558626262585458576155625804059
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 Average
1Pyotr Kochetkov0100.0068636472746473646861635755040670251775,000$
2Spencer Martin0100.00596666756766705868627462570376502922,150,000$
Scratches
1Keith Kinkaid0100.0061626270665866635960577866037630351775,000$
2Adam Scheel0100.0056575672595462566761645854040600251775,000$
TEAM AVERAGE100.006162627267616860666165645803964
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Bob Jones73646463787272CAN527500,000$


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
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


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary RemainingSalary AverageSalary Ave 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
Adam ScheelChicago Wolves (CAR)G2501.05.1999No86 Kg193 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Aleksi HeimosalmiChicago Wolves (CAR)D2108.05.2003No77 Kg180 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Alex GreenChicago Wolves (CAR)D2618.06.1998No89 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Alexander PashinChicago Wolves (CAR)LW/RW2228.07.2002Yes70 Kg173 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Anttoni HonkaChicago Wolves (CAR)D2405.10.2000No82 Kg180 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Austin StrandChicago Wolves (CAR)D2717.02.1997No98 Kg191 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Blake MurrayChicago Wolves (CAR)C/LW/RW2305.07.2001No85 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Cavan FitzgeraldChicago Wolves (CAR)D2823.08.1996No91 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Chris TerryChicago Wolves (CAR)C3507.04.1989No92 Kg178 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Cole SchneiderChicago Wolves (CAR)C/LW/RW3426.08.1990No90 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Cory ConacherChicago Wolves (CAR)LW/RW3514.12.1989No82 Kg175 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Dominic FrancoChicago Wolves (CAR)C2807.01.1996No99 Kg196 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Felix Unger SorumChicago Wolves (CAR)LW/RW1914.09.2005Yes77 Kg180 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Hank CroneChicago Wolves (CAR)C/LW/RW2619.02.1998No74 Kg178 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Hudson ElynuikChicago Wolves (CAR)C2712.10.1997No94 Kg196 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Isaac RatcliffeChicago Wolves (CAR)C/LW/RW2515.02.1999No91 Kg198 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Jack DruryChicago Wolves (CAR)C2403.02.2000No79 Kg180 CMNoNoN/ANoNo3FalseFalsePro & Farm1,250,000$1,250,000$1,250,000$1,250,000$0$0$No1,250,000$1,250,000$-------NoNo-------Link
Jalen ChatfieldChicago Wolves (CAR)D2815.05.1996No85 Kg185 CMNoNoN/ANoNo2FalseFalsePro & Farm1,750,000$1,750,000$1,750,000$1,750,000$0$0$No1,750,000$--------No--------Link / NHL Link
Josh MelnickChicago Wolves (CAR)C2910.07.1995No82 Kg178 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Justin RobidasChicago Wolves (CAR)C2113.03.2003Yes80 Kg173 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Keith KinkaidChicago Wolves (CAR)G3504.07.1989No89 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Kyle MarinoChicago Wolves (CAR)C2901.06.1995No100 Kg191 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Matt DonovanChicago Wolves (CAR)D3409.05.1990No93 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Max ComtoisChicago Wolves (CAR)LW/RW2508.01.1999No95 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Mitchell Vande SompelChicago Wolves (CAR)D2711.02.1997No86 Kg180 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Nate SuceseChicago Wolves (CAR)C/LW/RW2812.07.1996No79 Kg175 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Nathan SuceseChicago Wolves (CAR)C2812.07.1996No79 Kg175 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Noel GunlerChicago Wolves (CAR)LW/RW2307.10.2001No80 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Owen HeadrickChicago Wolves (CAR)D2723.08.1997No88 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Peter AbbandonatoChicago Wolves (CAR)C2625.03.1998No87 Kg175 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Pyotr KochetkovChicago Wolves (CAR)G2525.06.1999No93 Kg191 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Rocco GrimaldiChicago Wolves (CAR)LW/RW3108.02.1993No81 Kg168 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Ronan SeeleyChicago Wolves (CAR)D2202.08.2002No87 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Ryan WagnerChicago Wolves (CAR)C/LW/RW2815.04.1996No84 Kg173 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Spencer MartinChicago Wolves (CAR)G2908.06.1995No87 Kg191 CMNoNoN/ANoNo2FalseFalsePro & Farm2,150,000$2,150,000$2,150,000$2,150,000$0$0$No2,150,000$--------No--------Link / NHL Link
Tory DelloChicago Wolves (CAR)D2714.02.1997No88 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Tuukka TieksolaChicago Wolves (CAR)LW/RW2322.06.2001No79 Kg180 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Tyson FeistChicago Wolves (CAR)D2314.01.2001No82 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Vasili PonomaryovChicago Wolves (CAR)C2213.03.2002No82 Kg178 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Ville KoivunenChicago Wolves (CAR)C/LW/RW2113.06.2003Yes78 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
4026.5085 Kg183 CM1.10845,625$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Max ComtoisChris TerryRocco Grimaldi33122
2Felix Unger SorumCole SchneiderNoel Gunler30122
3Blake MurrayJack DruryAlexander Pashin25122
4Max ComtoisJosh MelnickChris Terry12122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jalen ChatfieldAleksi Heimosalmi33122
2Anttoni HonkaTory Dello30122
3Mitchell Vande SompelAustin Strand25122
4Jalen ChatfieldAleksi Heimosalmi12122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Max ComtoisChris TerryRocco Grimaldi50122
2Felix Unger SorumCole SchneiderNoel Gunler50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jalen ChatfieldAleksi Heimosalmi50122
2Anttoni HonkaTory Dello50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Max ComtoisChris Terry50122
2Rocco GrimaldiCole Schneider50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jalen ChatfieldAleksi Heimosalmi50122
2Anttoni HonkaTory Dello50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Max Comtois50122Jalen ChatfieldAleksi Heimosalmi50122
2Chris Terry50122Anttoni HonkaTory Dello50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Max ComtoisChris Terry50122
2Rocco GrimaldiCole Schneider50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jalen ChatfieldAleksi Heimosalmi50122
2Anttoni HonkaTory Dello50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Max ComtoisChris TerryRocco GrimaldiJalen ChatfieldAleksi Heimosalmi
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Max ComtoisChris TerryRocco GrimaldiJalen ChatfieldAleksi Heimosalmi
Extra Forwards
Normal PowerPlayPenalty Kill
Peter Abbandonato, Justin Robidas, Jack DruryPeter Abbandonato, Justin RobidasJack Drury
Extra Defensemen
Normal PowerPlayPenalty Kill
Mitchell Vande Sompel, Austin Strand, Anttoni HonkaMitchell Vande SompelAustin Strand, Anttoni Honka
Penalty Shots
Max Comtois, Chris Terry, Rocco Grimaldi, Cole Schneider, Jack Drury
Goalie
#1 : Pyotr Kochetkov, #2 : Spencer Martin
Custom OT Lines Forwards
Max Comtois, Chris Terry, Rocco Grimaldi, Cole Schneider, Jack Drury, Felix Unger Sorum, Felix Unger Sorum, Josh Melnick, Noel Gunler, Peter Abbandonato, Blake Murray
Custom OT Lines Defensemen
Jalen Chatfield, Aleksi Heimosalmi, Anttoni Honka, Tory Dello, Mitchell Vande Sompel


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000%000%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000%000%000%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


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
13Chicago Wolves-Rockford IceHogs-
319Chicago Wolves-Grand Rapids Griffins-
429Texas Stars-Chicago Wolves-
647Chicago Wolves-Colorado Eagles-
861Milwaukee Admirals-Chicago Wolves-
1082Chicago Wolves-Iowa Wild-
1296Iowa Wild-Chicago Wolves-
13109Chicago Wolves-Texas Stars-
16125Rockford IceHogs-Chicago Wolves-
18147Grand Rapids Griffins-Chicago Wolves-
20159Chicago Wolves-Milwaukee Admirals-
21161Chicago Wolves-Manitoba Moose-
Trade Deadline --- Trades can’t be done after this day is simulated!
24187Manitoba Moose-Chicago Wolves-
27211Colorado Eagles-Chicago Wolves-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance0%0%
Attendance PCT0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
7 0 - 0%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 3,382,500$ 3,382,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
112,750$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 30 129,417$ 3,882,510$




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