Login

Chicago Wolves
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Erik Beheim | Morale : 50 | Team Overall : 52
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Team Leaders

Team Stats
Team Info

General ManagerErik Beheim
CoachRod Brind'Amour
DivisionCentral Division
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team18
Farm Team21
Contract Limit39 / 60
Prospects32


Team History

This Season0-0-0 (0PTS)
History73-52-22 (0.497%)
Playoff Appearances2
Playoff Record (W-L)10-9
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
1Ryan Suzuki (R)0X100.00583593666950755975565155644545150540221863,333$
2Jamieson Rees (R)0X100.00593489596250754475493457254545150500221839,167$
Scratches
1Peter Abbandonato0X100.005836956662507257755847585050481505402500$
2Anthony Vincent0XX100.006759796168506049755144582552491505302600$
3Vasily Ponomarev (R)0X100.005834916762507258756048525044441505302100$
4Jordy Bellerive0X100.006962796065507948754743545048471505202400$
5Jackson Blake (R)0X100.0050309950438530573050505030282976505002000$
6Anton Wahlberg (R)0X100.0044309550684537334035324330262630504201800$
7Max Lajoie0X100.006356876571507553255843592552491505602600$
8Cavan Fitzgerald0X100.006237896472507954255349565054501505502700$
9Josh Maniscalco (R)0X100.006037936176506246255435582548471505402400$
10Mitchell Vande Sompel (R)0X100.005735956165507350254843605052491505302600$
11Scott Morrow (R)0X100.0050309959688631503050505630293173505302100$
12Domenick Fensore (R)0X100.005631896450506951255742552545451505102200$
13Tomas Hamara (R)0X100.0035309936564130303030304230272830503801900$
TEAM AVERAGE100.00563891596454614947504354374342155051
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
1Felix Sandstrom0100.0060605074606455545964615251150580261775,000$
Scratches
1Eetu Makiniemi (R)0100.00625449715656575357615048471505602400$
2Jack LaFontaine (R)0100.00484646774841455046515050481504902500$
TEAM AVERAGE100.005753487455545252545954504915054
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Rod Brind'Amour60606060996050CAN551500,000$


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 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
Anthony VincentChicago Wolves (CAR)C/LW261997-12-31No190 Lbs6 ft0NoNoN/ANoNo0FalseFalsePro & Farm0$0$No------------------Link
Anton WahlbergChicago Wolves (CAR)C182005-12-31Yes194 Lbs6 ft3NoNoDraftNoNo02024-07-16FalseFalsePro & Farm0$0$No------------------
Cavan FitzgeraldChicago Wolves (CAR)D271996-12-31No196 Lbs6 ft1NoNoN/ANoNo0FalseFalsePro & Farm0$0$No------------------Link / NHL Link
Domenick FensoreChicago Wolves (CAR)D222001-12-31Yes153 Lbs5 ft7NoNoProspectNoNo02024-07-16FalseFalsePro & Farm0$0$No------------------Link
Eetu MakiniemiChicago Wolves (CAR)G241999-12-31Yes176 Lbs6 ft2NoNoN/ANoNo0FalseFalsePro & Farm0$0$No------------------Link / NHL Link
Felix SandstromChicago Wolves (CAR)G261997-12-31 13:44:19No192 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No------------------Link / NHL Link
Jack LaFontaineChicago Wolves (CAR)G251998-12-31 18:09:10Yes197 Lbs6 ft3NoNoN/ANoNo0FalseFalsePro & Farm0$0$No------------------Link
Jackson BlakeChicago Wolves (CAR)RW202003-12-31Yes173 Lbs5 ft10NoNoProspectNoNo02024-07-16FalseFalsePro & Farm0$0$No------------------
Jamieson ReesChicago Wolves (CAR)C222001-12-31Yes182 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm839,167$0$0$No------------------Link / NHL Link
Jordy BelleriveChicago Wolves (CAR)C241999-12-31No195 Lbs5 ft10NoNoN/ANoNo0FalseFalsePro & Farm0$0$No------------------Link / NHL Link
Josh ManiscalcoChicago Wolves (CAR)D241999-12-31Yes205 Lbs6 ft2NoNoN/ANoNo0FalseFalsePro & Farm0$0$No------------------Link
Max LajoieChicago Wolves (CAR)D261997-12-31No196 Lbs6 ft1NoNoDraftNoNo02024-07-17FalseFalsePro & Farm0$0$No------------------Link
Mitchell Vande SompelChicago Wolves (CAR)D261997-12-31Yes198 Lbs5 ft11NoNoDraftNoNo02024-07-16FalseFalsePro & Farm0$0$No------------------Link
Peter AbbandonatoChicago Wolves (CAR)C251998-12-31No194 Lbs5 ft11NoNoN/ANoNo0FalseFalsePro & Farm0$0$No------------------Link / NHL Link
Ryan SuzukiChicago Wolves (CAR)C222001-12-31Yes180 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm863,333$0$0$No------------------Link / NHL Link
Scott MorrowChicago Wolves (CAR)D212002-12-31Yes195 Lbs6 ft2NoNoProspectNoNo02024-07-16FalseFalsePro & Farm0$0$No------------------
Tomas HamaraChicago Wolves (CAR)D192004-12-31Yes185 Lbs6 ft0NoNoProspectNoNo02024-07-16FalseFalsePro & Farm0$0$No------------------
Vasily PonomarevChicago Wolves (CAR)C212002-12-31Yes180 Lbs5 ft10NoNoDraftNoNo02024-07-18FalseFalsePro & Farm0$0$No------------------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1823.22188 Lbs6 ft00.17137,639$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jamieson Rees37113
230113
3Ryan Suzuki23122
4Ryan Suzuki10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
145122
233122
322122
40122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ryan Suzuki60122
2Jamieson Rees40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
150122
250122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Ryan Suzuki50122
250122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
150122
250122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
15012250122
25012250122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
150122
2Ryan Suzuki50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
150122
250122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Ryan Suzuki
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Ryan Suzuki
Extra Forwards
Normal PowerPlayPenalty Kill
, , Ryan Suzuki,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, Ryan Suzuki, , ,
Goalie
#1 : Felix Sandstrom, #2 :


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



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price5020
Attendance0%0%
Attendance PCT0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
36 0 - 0%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 247,750$ 247,750$ 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$ 0 0$ 0$




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
1Jack Drury1484576121-412017824837512.00%76290419.622341644201156552.36%10.83212
2Stefan Noesen763740771218115712428512.98%29144619.041323363110186446.60%11.06716
3Andrew Poturalski61254267212111911424510.20%26134622.0711203119000104258.72%21.00712
4Vasili Ponomarev148244367-232291952723626.63%59269618.22411151300045355.86%10.50617
5Phillip Di-Giuseppe7619395827714610016711.38%34140618.511128393100014150.91%00.8247

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
1Eetu Makiniemi764121140.9241.9945872615220011080420.53656
2Felix Sandstrom72323190.9222.0843550615119451178130.75060
3Jack LaFontaine10000.9571.713500123140000
4Pyotr Kochetkov30000.9202.035900225160000

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
2022763221034610196166303815130102794877381780244310279239619629849425317680262028509781722722028705198517132268437.17%2075672.95%1752135255.62%783152051.51%53397954.44%151674915447741589787
2023721831044105133160-2736817022526378-15361014022537082-127313319432736254153241438333520565781971653149911151404431.43%1283969.53%0612107756.82%659123453.40%45180556.02%130255014507491646852
Total Regular Season14850520781615329326374233003279157165-874272204696172161111693294928215115611713350346684213011287150399913583484282836612834.97%3359571.64%11364242956.15%1442275452.36%984178455.16%281812992995152432361639
Playoff
202219109000004649-31055000002531-695400000211832046731191111102235451581762038584192595418611931.15%501276.00%021543349.65%23444552.58%15327156.46%387201388183373189
Total Playoff19109000004649-31055000002531-695400000211832046731191111102235451581762038584192595418611931.15%501276.00%021543349.65%23444552.58%15327156.46%387201388183373189

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
1Stefan Noesen1991120-1211836187611.84%836719.3246101000022036.36%01.0900
2Vasili Ponomarev1941014-2192423567.14%535518.73246400000159.89%00.7900
3Jack Drury192911-2242633543.70%734918.39066200010053.29%00.6300
4Ryan Suzuki19461051216243112.90%621211.19011000000051.52%00.9400
5Phillip Di-Giuseppe196410-72431294513.33%733117.456171000013065.00%00.6000

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
1Eetu Makiniemi1910720.9182.48113801475763060100
2Felix Sandstrom10000.8575.4611001740000