Login

Chicago Wolves
GP: 6 | W: 2 | L: 4
GF: 16 | GA: 24 | PP%: 35.71% | PK%: 65.00%
GM : Hugues Pelletier | Morale : 15 | Team Overall : 62
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Chicago Wolves
2-4-0, 4pts
3
FINAL
6 Lowell Devils
7-6-0, 14pts
Team Stats
L4StreakL2
0-3-0Home Record2-4-0
2-1-0Home Record5-2-0
2-4-0Last 10 Games6-2-2
2.67Goals Per Game3.92
4.00Goals Against Per Game3.00
35.71%Power Play Percentage37.78%
65.00%Penalty Kill Percentage70.00%
Lowell Devils
7-6-0, 14pts
4
FINAL
1 Chicago Wolves
2-4-0, 4pts
Team Stats
L2StreakL4
2-4-0Home Record0-3-0
5-2-0Home Record2-1-0
6-2-2Last 10 Games2-4-0
3.92Goals Per Game2.67
3.00Goals Against Per Game4.00
37.78%Power Play Percentage35.71%
70.00%Penalty Kill Percentage65.00%
Team Leaders
Goals
Philip Tomasino
3
Assists
Philip Tomasino
4
Points
Philip Tomasino
7
Plus/Minus
Philip Tomasino
0
Wins
Leevi Merilainen
2
Save Percentage
Leevi Merilainen
0.905

Team Stats
Goals For
16
2.67 GFG
Shots For
172
28.67 Avg
Power Play Percentage
35.7%
5 GF
Offensive Zone Start
29.2%
Goals Against
24
4.00 GAA
Shots Against
253
42.17 Avg
Penalty Kill Percentage
65.0%%
7 GA
Defensive Zone Start
44.3%
Team Info

General ManagerHugues Pelletier
DivisionSUD-EST
ConferenceConference 1
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance1,100
Season Tickets300


Roster Info

Pro Team24
Farm Team23
Contract Limit47 / 50
Prospects27


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
1Mason AppletonX100.006637906683868067587266716370714050660261900,000$
2Alex Barre-BouletXX100.005838796867918768737166606969684050650241758,333$
3Craig SmithXX100.0064359171758186645866676468867831506503221,500,000$
4Philip TomasinoXX100.0061389374718687697172645867636579506502011,005,000$
5Evgeny SvechnikovXX100.007437866585778566596264556669706950630252750,000$
6Lias AnderssonXX100.0068388266769177667463676063676982506302311,744,166$
7Connor McMichaelXX100.006037956871878567746464586565647950630211863,333$
8Dylan Guenther (R)X100.005735916875826566576763596860628750620191700,000$
9Colin WhiteXX100.0063359668767877657562615465697176506202511,200,000$
10Martin KautX100.0067389164798482626662596066666780506202221,288,333$
11Nicolas Aube-KubelX100.0083417767767484655563635665707259506202511,000,000$
12Beck MalenstynXX100.008240876283768457565859635665665450610243762,500$
13Libor HajekX100.007242756483787161306461635067697150630243800,000$
14Helge GransX100.007940935889668155305653604663657450610192902,500$
15William Villeneuve (R)X100.006339826274666955305953554663655750580201700,000$
16Xavier Bouchard (R)X100.007642745385656352305449584564664850580221700,000$
Scratches
1Sampo RantaX100.0069388462798381595758596258636564506002111,208,333$
2Jachym Kondelik (R)X100.008942835698716653615554625264665950590221700,000$
3Martin Chromiak (R)X100.006337936072816959635761566061635850580191700,000$
4Xavier Bourgault (R)X100.006037926069817159626058575961638250580191700,000$
5Dominik BokkXX100.0066389262798167565355545261656678505702211,075,833$
6Jake VirtanenXX100.0050505050505050505050505050757579505002511,999,999$
TEAM AVERAGE100.00683985637778766156616059596768665061
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
1Leevi Merilainen (R)100.00796059727875787776787763666450710191700,000$
2Calle Clang (R)100.00685556796766686767686762656550650191700,000$
Scratches
TEAM AVERAGE100.0074585876737173727273726366655068
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
1Sam SteelJetsC/LW6448-20012937132510.81%513622.830222110001181069.62%15892001.1700000200
2Philip TomasinoChicago Wolves (WIN)LW/RW6347000541671118.75%512220.37213510011070075.00%1692001.1500000002
3Xavier BouchardChicago Wolves (WIN)D6145-24012953220.00%1715325.6610118000015000%013000.6500000000
4Craig SmithChicago Wolves (WIN)C/RW6134-100111618545.56%210417.3902226101270056.04%9132000.7700000000
5Libor HajekChicago Wolves (WIN)D6044-4120161013240%717429.06011110000012000%049000.4600000000
6Lias AnderssonChicago Wolves (WIN)C/LW621302084122316.67%47612.7100000000060148.57%3513000.7900000000
7Mason AppletonChicago Wolves (WIN)RW6123-2201171081010.00%513322.240111110001160066.67%1840000.4500000000
8Connor McMichaelChicago Wolves (WIN)C/LW61230005797411.11%39515.85000010000101062.50%834000.6300000000
9Helge GransChicago Wolves (WIN)D6033-1201596340%1518130.2301109011018000%0111000.3300000010
10Alex Barre-BouletChicago Wolves (WIN)LW/RW6202-220932071110.00%29515.89101370000000100.00%462000.4200000000
11Evgeny SvechnikovChicago Wolves (WIN)LW/RW6101-20010150320.00%29215.3810117000000083.33%632000.2200000000
12William VilleneuveChicago Wolves (WIN)D6011-380744200%1314724.550001800015000%0210000.1400000000
13Beck MalenstynChicago Wolves (WIN)C/LW6000-320903010%1508.440000000000000%10100000000000
14Dylan GuentherChicago Wolves (WIN)RW6000-200011000%1335.560000100003000%21000000000000
15Colin WhiteChicago Wolves (WIN)C/RW6000-300343220%1538.8700000000000052.00%250200000000000
16Martin KautChicago Wolves (WIN)RW6000-300463250%2508.4100000000000050.00%20200000000000
17Nicolas Aube-KubelChicago Wolves (WIN)RW6000-1401137140%06711.17000000000000100.00%40300000000000
Team Total or Average102162844-313801489717264939.30%85176717.335813179312351232163.24%3704758000.5000000212
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
1Leevi MerilainenChicago Wolves (WIN)62400.9053.993612024253124100060020
Team Total or Average62400.9053.99361202425312410060020


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 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap 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
Alex Barre-BouletChicago Wolves (WIN)LW/RW241997-05-21No180 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm758,333$92,857$0$0$No---------------------------Link
Beck MalenstynChicago Wolves (WIN)C/LW241998-02-04No200 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm762,500$93,367$0$0$No762,500$762,500$-------762,500$762,500$-------NoNo-------Link
Calle ClangChicago Wolves (WIN)G192002-05-20Yes194 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$85,714$0$0$No---------------------------
Colin WhiteChicago Wolves (WIN)C/RW251997-01-30No194 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$146,939$0$0$No---------------------------Link
Connor McMichaelChicago Wolves (WIN)C/LW212001-01-15No180 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm863,333$105,714$0$0$No---------------------------Link
Craig SmithChicago Wolves (WIN)C/RW321989-09-05No204 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$183,673$0$0$No1,500,000$--------1,500,000$--------No--------Link / NHL Link
Dominik BokkChicago Wolves (WIN)LW/RW222000-02-03No181 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,075,833$131,735$0$0$No---------------------------Link
Dylan GuentherChicago Wolves (WIN)RW192003-04-10Yes175 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$85,714$0$0$No---------------------------
Evgeny SvechnikovChicago Wolves (WIN)LW/RW251996-10-31No208 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm750,000$91,837$0$0$No750,000$--------750,000$--------No--------Link
Helge GransChicago Wolves (WIN)D192002-05-10No205 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm902,500$110,510$0$0$No902,500$--------902,500$--------No--------Link
Jachym KondelikChicago Wolves (WIN)C221999-12-21Yes226 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm700,000$85,714$0$0$No---------------------------
Jake VirtanenChicago Wolves (WIN)LW/RW251996-08-17No226 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,999,999$244,898$0$0$No---------------------------Link / NHL Link
Leevi MerilainenChicago Wolves (WIN)G192002-08-13Yes158 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$85,714$0$0$No---------------------------
Lias AnderssonChicago Wolves (WIN)C/LW231998-10-13No185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,744,166$213,571$0$0$No---------------------------Link
Libor HajekChicago Wolves (WIN)D241998-02-04No209 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm800,000$97,959$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Link
Martin ChromiakChicago Wolves (WIN)RW192002-08-20Yes187 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm700,000$85,714$0$0$No---------------------------
Martin KautChicago Wolves (WIN)RW221999-10-02No190 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,288,333$157,755$0$0$No1,288,333$--------1,288,333$--------No--------Link
Mason AppletonChicago Wolves (WIN)RW261996-01-15No197 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm900,000$110,204$0$0$No---------------------------Link
Nicolas Aube-KubelChicago Wolves (WIN)RW251996-05-10No207 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$122,449$0$0$No---------------------------Link
Philip TomasinoChicago Wolves (WIN)LW/RW202001-07-28No179 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,005,000$123,061$0$0$No---------------------------Link
Sampo RantaChicago Wolves (WIN)LW212000-05-31No195 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,208,333$147,959$0$0$No---------------------------Link
William VilleneuveChicago Wolves (WIN)D202002-03-20Yes175 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm700,000$85,714$0$0$No---------------------------
Xavier BouchardChicago Wolves (WIN)D222000-02-28Yes190 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm700,000$85,714$0$0$No---------------------------
Xavier BourgaultChicago Wolves (WIN)RW192002-10-22Yes172 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm700,000$85,714$0$0$No---------------------------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2422.38192 Lbs6 ft21.33973,264$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Philip TomasinoCraig SmithMason Appleton40122
2Alex Barre-BouletConnor McMichaelEvgeny Svechnikov30122
3Beck MalenstynLias AnderssonNicolas Aube-Kubel20122
4Mason AppletonColin WhiteMartin Kaut10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Libor HajekHelge Grans40122
2Xavier BouchardWilliam Villeneuve30122
3Libor HajekHelge Grans20122
4Xavier BouchardWilliam Villeneuve10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Philip TomasinoCraig SmithMason Appleton60122
2Alex Barre-BouletConnor McMichaelEvgeny Svechnikov40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Libor HajekHelge Grans60122
2Xavier BouchardWilliam Villeneuve40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Mason AppletonPhilip Tomasino60122
2Craig SmithAlex Barre-Boulet40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Libor HajekHelge Grans60122
2Xavier BouchardWilliam Villeneuve40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Mason Appleton60122Libor HajekHelge Grans60122
2Philip Tomasino40122Xavier BouchardWilliam Villeneuve40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Mason AppletonPhilip Tomasino60122
2Craig SmithAlex Barre-Boulet40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Libor HajekHelge Grans60122
2Xavier BouchardWilliam Villeneuve40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Philip TomasinoCraig SmithMason AppletonLibor HajekHelge Grans
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Philip TomasinoCraig SmithMason AppletonLibor HajekHelge Grans
Extra Forwards
Normal PowerPlayPenalty Kill
Dylan Guenther, Lias Andersson, Nicolas Aube-KubelDylan Guenther, Lias AnderssonNicolas Aube-Kubel
Extra Defensemen
Normal PowerPlayPenalty Kill
Libor Hajek, Helge Grans, Xavier BouchardLibor HajekHelge Grans, Xavier Bouchard
Penalty Shots
Mason Appleton, Philip Tomasino, Craig Smith, Alex Barre-Boulet, Connor McMichael
Goalie
#1 : Leevi Merilainen, #2 : Calle Clang
Custom OT Lines Forwards
Mason Appleton, Philip Tomasino, Craig Smith, Alex Barre-Boulet, Connor McMichael, Lias Andersson, Lias Andersson, Evgeny Svechnikov, Nicolas Aube-Kubel, Martin Kaut, Colin White
Custom OT Lines Defensemen
Libor Hajek, Helge Grans, Xavier Bouchard, William Villeneuve,


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
1Lowell Devils624000001624-830300000411-7321000001213-140.3331628440017711725468491253854014814535.71%20765.00%17410868.52%10116461.59%599860.20%12366139439857
Total624000001624-830300000411-7321000001213-140.3331628440017711725468491253854014814535.71%20765.00%17410868.52%10116461.59%599860.20%12366139439857
_Since Last GM Reset624000001624-830300000411-7321000001213-140.3331628440017711725468491253854014814535.71%20765.00%17410868.52%10116461.59%599860.20%12366139439857
_Vs Conference624000001624-830300000411-7321000001213-140.3331628440017711725468491253854014814535.71%20765.00%17410868.52%10116461.59%599860.20%12366139439857

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
64L4162844172253854014800
All Games
GPWLOTWOTL SOWSOLGFGA
62400001624
Home Games
GPWLOTWOTL SOWSOLGFGA
3030000411
Visitor Games
GPWLOTWOTL SOWSOLGFGA
32100001213
Last 10 Games
WLOTWOTL SOWSOL
240000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
14535.71%20765.00%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
54684911771
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
7410868.52%10116461.59%599860.20%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
12366139439857


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 Wolves4Lowell Devils3WBoxScore
311Chicago Wolves5Lowell Devils4WXBoxScore
519Lowell Devils5Chicago Wolves3LBoxScore
727Lowell Devils2Chicago Wolves0LBoxScore
935Chicago Wolves3Lowell Devils6LBoxScore
1143Lowell Devils4Chicago Wolves1LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price10099
Attendance2,501798
Attendance PCT41.68%26.60%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
50 1100 - 36.66% 111,895$335,685$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 2,335,832$ 2,335,832$ 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$ 6 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

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