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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 : Jan | Morale : 40 | Team Overall : N/A
Next Games #10 vs Rockford IceHogs
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Chicago Wolves
0-0-0, 0pts
Day 5
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%
Manitoba Moose
0-0-0, 0pts
Day 6
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%
Chicago Wolves
0-0-0, 0pts
Day 9
Manitoba Moose
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 ManagerJan
CoachCam Abbott
DivisionCentral Division
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets0


Roster Info

Pro Team0
Farm Team45
Contract Limit45 / 70
Prospects17


Team History

This Season0-0-0 (0PTS)
History74-76-14 (0.451%)
Playoff Appearances3
Playoff Record (W-L)0-0
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.
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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
Scratches
TEAM AVERAGE0.00000000000000000000
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
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7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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
Scratches
TEAM AVERAGE0.000000000000000000
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Cam Abbott6970706856511CAN4211,000,000$


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 Force Waivers Waiver Possible Contract 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 10 2 3 4 5 6 7 8 9 10Link
Total Players Average Age Average Weight Average Height Average Contract Average Year 1 Salary
00.000 Kg0 CM0.000$



5 vs 5 Forward
Line # Left Wing Center Right Wing Time % PHY DF OF
133122
230122
325122
412122
5 vs 5 Defense
Line # Defense Defense Time % PHY DF OF
133122
230122
325122
412122
Power Play Forward
Line # Left Wing Center Right Wing Time % PHY DF OF
150122
250122
Power Play Defense
Line # Defense Defense Time % PHY DF OF
150122
250122
Penalty Kill 4 Players Forward
Line # Center Wing Time % PHY DF OF
150122
250122
Penalty Kill 4 Players Defense
Line # Defense Defense Time % PHY DF OF
150122
250122
Penalty Kill 3 Players
Line # Wing Time % PHY DF OF Defense Defense Time % PHY DF OF
15012250122
25012250122
4 vs 4 Forward
Line # Center Wing Time % PHY DF OF
150122
250122
4 vs 4 Defense
Line # Defense Defense Time % PHY DF OF
150122
250122
Last Minutes Offensive
Left Wing Center Right Wing Defense Defense
Last Minutes Defensive
Left Wing Center Right Wing Defense Defense
Extra Forwards
Normal PowerPlay Penalty Kill
, , ,
Extra Defensemen
Normal PowerPlay Penalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :
Custom OT Lines Forwards
, , , , , , , , , ,
Custom OT Lines Defensemen
, , , ,


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 Played Points Streak Goals Assists Points Shots For Shots Against Shots Blocked Penalty Minutes Hits Empty Net Goals Shutouts
00N/A0000000000
All Games
GP W L OTW OTL SOWSOL GF GA
000000000
Home Games
GP W L OTW OTL SOWSOL GF GA
000000000
Visitor Games
GP W L OTW OTL SOWSOL GF GA
000000000
Last 10 Games
W L OTW OTL SOWSOL
000000
Power Play Attemps Power Play Goals Power Play % Penalty Kill Attemps Penalty Kill Goals Against Penalty Kill % Penalty Kill Goals For
000%000%0
Shots 1 Period Shots 2 Period Shots 3 Period Shots 4+ Period Goals 1 Period Goals 2 Period Goals 3 Period Goals 4+ Period
00000000
Face Offs
Won Offensive Zone Total Offensive Won Offensive % Won Defensif Zone Total Defensive Won Defensive % Won Neutral Zone Total Neutral Won Neutral %
000%000%000%
Puck Time
In Offensive Zone Control In Offensive Zone In Defensive Zone Control In Defensive Zone In Neutral Zone Control 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
510Chicago Wolves-Rockford IceHogs-
621Manitoba Moose-Chicago Wolves-
940Chicago Wolves-Manitoba Moose-
1053Chicago Wolves-Texas Stars-
1267Rockford IceHogs-Chicago Wolves-
1484Chicago Wolves-Henderson Silver Knights-
1697Texas Stars-Chicago Wolves-
17107Chicago Wolves-Iowa Wild-
19129Rockford IceHogs-Chicago Wolves-
21150Manitoba Moose-Chicago Wolves-
23169Grand Rapids Griffins-Chicago Wolves-
25183Chicago Wolves-Grand Rapids Griffins-
26197Chicago Wolves-Manitoba Moose-
28210Texas Stars-Chicago Wolves-
30229Ontario Reign-Chicago Wolves-
32243Chicago Wolves-Rockford IceHogs-
34258Chicago Wolves-Texas Stars-
36276San Diego Gulls-Chicago Wolves-
38290Chicago Wolves-San Jose Barracuda-
40307Texas Stars-Chicago Wolves-
42323Chicago Wolves-Coachella Valley Firebirds-
44337Chicago Wolves-Lehigh Valley Phantoms-
46349Grand Rapids Griffins-Chicago Wolves-
48366Chicago Wolves-Grand Rapids Griffins-
50380Tucson Roadrunners-Chicago Wolves-
51398Chicago Wolves-Henderson Silver Knights-
52407Colorado Eagles-Chicago Wolves-
54424Chicago Wolves-Colorado Eagles-
57443Colorado Eagles-Chicago Wolves-
59460Chicago Wolves-San Jose Barracuda-
61474Milwaukee Admirals-Chicago Wolves-
62489Chicago Wolves-Grand Rapids Griffins-
64507Laval Rocket-Chicago Wolves-
66519Chicago Wolves-Milwaukee Admirals-
68537Milwaukee Admirals-Chicago Wolves-
69553Chicago Wolves-Rochester Americans-
71567Tucson Roadrunners-Chicago Wolves-
73590Chicago Wolves-Iowa Wild-
74599Hartford Wolf Pack-Chicago Wolves-
76612Chicago Wolves-Rockford IceHogs-
78630Springfield Thunderbirds-Chicago Wolves-
80648Chicago Wolves-Tucson Roadrunners-
82663Iowa Wild-Chicago Wolves-
83671Chicago Wolves-Syracuse Crunch-
89695Chicago Wolves-Utica Comets-
90703Toronto Marlies-Chicago Wolves-
92724San Jose Barracuda-Chicago Wolves-
94735Chicago Wolves-Bakersfield Condors-
96759Iowa Wild-Chicago Wolves-
97772Chicago Wolves-Syracuse Crunch-
99787Coachella Valley Firebirds-Chicago Wolves-
101801Chicago Wolves-Ontario Reign-
104815Chicago Wolves-Iowa Wild-
106829Cleveland Monsters-Chicago Wolves-
108854Milwaukee Admirals-Chicago Wolves-
110865Chicago Wolves-Coachella Valley Firebirds-
112884Colorado Eagles-Chicago Wolves-
113891Chicago Wolves-Abbotsford Canucks-
116915Chicago Wolves-Belleville Senators-
118925Rockford IceHogs-Chicago Wolves-
119937Chicago Wolves-San Diego Gulls-
121955Hamilton Hammers-Chicago Wolves-
124979Chicago Wolves-Providence Bruins-
126989Iowa Wild-Chicago Wolves-
1281014Charlotte Checkers-Chicago Wolves-
1311031Chicago Wolves-Milwaukee Admirals-
1341047Calgary Wranglers-Chicago Wolves-
1361070Chicago Wolves-Manitoba Moose-
1381079Abbotsford Canucks-Chicago Wolves-
1401097Chicago Wolves-Milwaukee Admirals-
1411110San Diego Gulls-Chicago Wolves-
1441126Chicago Wolves-Charlotte Checkers-
1461140Chicago Wolves-Abbotsford Canucks-
1491152Bakersfield Condors-Chicago Wolves-
1511173Chicago Wolves-Texas Stars-
1521183Wilkes-Barre/Scranton Penguins-Chicago Wolves-
1571208Manitoba Moose-Chicago Wolves-
1601223Chicago Wolves-Ontario Reign-
1631244Grand Rapids Griffins-Chicago Wolves-
1691268Bakersfield Condors-Chicago Wolves-
1711280Chicago Wolves-Colorado Eagles-
1751303Henderson Silver Knights-Chicago Wolves-
1811318Hershey Bears-Chicago Wolves-
1831334Chicago Wolves-Colorado Eagles-



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

Income
Home Games Left Average Attendance - % Average Income per Game Year to Date Revenue Capacity Team Popularity
42 0 - 0%0$0$3000100

Expenses
Year To Date Expenses Players Total Salaries Players Total Average Salaries Coaches Salaries
0$ 0$ 0$ 0$
Salary Cap Per Days Salary Cap To Date Players In Salary Cap Players Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season Revenue Remaining Season Days Expenses Per Days Estimated Season Expenses
0$ 186 5,376$ 999,936$




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
1Bradly Nadeau152475510214416525137912.40%22315720.771117285912347241.25%00.6515
2Rocco Grimaldi160475299-63510724335113.39%18324720.30481245000210343.94%10.6118
3Cavan Fitzgerald161326193-39620115922414.29%185323820.121822401100003600%00.5703
4Ty Smith1482072922711771852109.52%174276718.701022321141125300%00.6612
5Dylan Coghlan161157085-20601851651887.98%156301518.738162481022000100.00%00.5613

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
1Adam Scheel86343980.8962.9648278123822780520.75833
2Arturs Silovs49261740.9202.1428674310212790100.74127
3Yaniv Perets37131820.8843.1919730110590401000
4Ruslan Khazheyev61200.8574.17230001611200000
5Jeremy Brodeur10000.9572.00300012300000

Chicago Wolves Career Team Stats

Overall Home Visitor
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
2482273906532216246-3041132102131102121-1941141804401114125-11792163846002283646013194963864963249230567858916622774817.33%2534781.42%21011232743.45%1106255843.24%555126144.01%1816122120826251070521
2582303703453213223-1041162101012111117-641141602441102106-4832133815940278735414202365667966760229369545314442615420.69%2044378.92%31156240748.03%1198256646.69%595124747.71%1890128119956181085539
Total Regular Season164577609985429469-4082294203143213238-2582283406842216231-15162429765119424161137114273972129413281299109459813731042310653810218.96%4579080.31%52167473445.78%2304512444.96%1150250845.85%370725024078124321561060
Playoff
Total Playoff0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

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