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Chicago Wolves
GP: 22 | W: 16 | L: 6
GF: 75 | GA: 58 | PP%: 18.18% | PK%: 71.88%
GM : Kevin Fedigan | Morale : 99 | Team Overall : 61
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Chicago Wolves
16-6-0, 32pts
5
FINAL
3 Tuscon Roadrunners
13-8-0, 26pts
Team Stats
W2StreakL2
10-2-0Home Record8-3-0
6-4-0Home Record5-5-0
9-0-1Last 10 Games5-4-1
3.41Goals Per Game3.24
2.64Goals Against Per Game2.52
18.18%Power Play Percentage25.71%
71.88%Penalty Kill Percentage76.00%
Tuscon Roadrunners
13-8-0, 26pts
2
FINAL
4 Chicago Wolves
16-6-0, 32pts
Team Stats
L2StreakW2
8-3-0Home Record10-2-0
5-5-0Home Record6-4-0
5-4-1Last 10 Games9-0-1
3.24Goals Per Game3.41
2.52Goals Against Per Game2.64
25.71%Power Play Percentage18.18%
76.00%Penalty Kill Percentage71.88%
Team Leaders
Goals
Aliaksei Protas
15
Assists
Aliaksei Protas
14
Points
Aliaksei Protas
29
Nils LundkvistPlus/Minus
Nils Lundkvist
23
Wins
Adam Huska
16
Save Percentage
Adam Huska
0.92

Team Stats
Goals For
75
3.41 GFG
Shots For
801
36.41 Avg
Power Play Percentage
18.2%
6 GF
Offensive Zone Start
39.1%
Goals Against
58
2.64 GAA
Shots Against
715
32.50 Avg
Penalty Kill Percentage
71.9%%
9 GA
Defensive Zone Start
37.3%
Team Info

General ManagerKevin Fedigan
DivisionWest Division
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance0
Season Tickets1,650


Roster Info

Pro Team37
Farm Team20
Contract Limit57 / 65
Prospects51


Filter Tips
PriorityTypeDescription
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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 Reaves0X100.009074717084789272496965696988780826903611,700,000$
2Aliaksei Protas0XX100.00694787719382737356706467695650089660232789,167$
3Ondrej Kase0X100.005943777576837570436464677077670856502831,100,000$
4Justin Danforth0X100.00624378747383656958626464695750087630303975,000$
5Dylan Guenther (R)0X100.00604075717378646940676562695150087620201775,000$
6Cody Eakin0X100.00503586876287836280505562557567089620324900,000$
7Colton Sceviour0XXX100.00645975826074995955475557558368087610344850,000$
8Dmitrij Jaskin0XXX100.00883586857167655555455069557374089610304790,000$
9Michael Ferland0XX100.008143818571676567555654575570640906103113,500,000$
10Spencer Smallman (R)0XX100.00645167696466666242595664625450089590272775,000$
11Max Willman0X100.00604771686572666541605760645651046590284790,000$
12Kyle Clifford0X100.00634959627172746341595659607264089590324850,000$
13Remi Elie0X100.00503595826867706250455055556866046570284775,000$
14Robin Kovacs (R)0XX100.00665566626662695550555556555050047550271775,000$
15Nils Lundkvist (R)0X100.00655079787984737540686769735650089670234925,000$
16Sebastian Aho (D)0X100.00583587885385936340635866406568089660273825,000$
17Nick Perbix (R)0X100.00704873727678697240686371695350088650251775,000$
18Akito Hirose (R)0X100.005740717170806065406260656651500896102444,350,000$
19Michael Kesselring (R)0X100.00665764696763636640586068655150086600232925,000$
20Mitchell Vande Sompel (R)0X100.00604767696466656140605466615450046590261775,000$
21Parker Wotherspoon (R)0X100.00615463706364626140585268615350046590262775,000$
22Jacob Moverare (R)0X100.00614865686563636240595466615250089590252775,000$
23Jake Massie (R)0X100.00594469686262625940565465605350046580261775,000$
24Nikolai Knyzhov (R)0X100.006240685968605956405453605652500475602541,250,000$
Scratches
1Jakob Pelletier (R)0X100.00644578756979646842646365695150080620221775,000$
2Casey Bailey0X100.00643575766466685347495448526048026550324775,000$
3Michael Chaput0X100.00573575706370695453545350456048025550314775,000$
4Sebastian Collberg0X100.00686773695259615565555059504444026540294775,000$
5Andrew Miller0X100.00523575745868695254525153476048026540354775,000$
6Michael Spacek (R)0X100.00643575715465685055554955466048026540261775,000$
7Maxim Cajkovic (R)0XX100.00534652565453525240505151525050026500232850,833$
TEAM AVERAGE100.0063467472677169624758576259605506660
Filter Tips
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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
1Adam Huska (R)0100.0082705696877575757587506369087750261775,000$
2Veini Vehvilainen (R)0100.0075757585806771667070487272053710261925,000$
Scratches
1Lukas Dostal (R)0100.0078717272757574747675745651084700231822,500$
2Jonathan Bernier0100.00717068656566656767686690800346703512,500,000$
3Ivan Prosvetov (R)0100.0072646863686970686969585250034640241775,000$
4Filip Lindberg (R)0100.0055555555555555555555555050034530242925,000$
TEAM AVERAGE100.007268667372686868697159646205467
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
1Aliaksei ProtasChicago Wolves (CAR)C/RW22151429410103640115265513.04%1448822.21314728011030051.17%6391311401.1901101222
2Ryan ReavesChicago Wolves (CAR)RW2210132354620453390264911.11%1240518.45000290110261155.00%201813001.1300022223
3Ondrej KaseChicago Wolves (CAR)RW229112015175363075233612.00%938717.61011021000002050.00%121910001.0300010212
4Cody EakinChicago Wolves (CAR)C22613191600353143102613.95%540118.25000021101291065.56%270156000.9500000211
5Dylan GuentherChicago Wolves (CAR)RW22611172161034277527618.00%1448021.85145128000003037.50%241512000.7100020110
6Michael FerlandChicago Wolves (CAR)LW/RW22107171675422065173515.38%638917.72011122000000138.46%13156000.8700100021
7Nick PerbixChicago Wolves (CAR)D22111122217531304010152.50%2855225.13112230000023100%0922000.4300001011
8Nils LundkvistChicago Wolves (CAR)D22110112311524365020102.00%3655625.31011331000126100%02719000.4000001011
9Jakob PelletierChicago Wolves (CAR)LW13459-37527184713328.51%827020.78011119000051133.33%18158000.6700001102
10Colton SceviourChicago Wolves (CAR)C/LW/RW22257-110101923489214.17%829813.55000120002131050.00%16876000.4700011100
11Sebastian Aho (D)Chicago Wolves (CAR)D22167-6009202513154.00%1140618.4710122100000000%01311000.3400000010
12Jacob MoverareChicago Wolves (CAR)D2215651610152016426.25%1838217.3900000000015000%0213000.3100002000
13Kyle CliffordChicago Wolves (CAR)LW22246-3402212269207.69%126011.8400000000000061.54%1348000.4600000000
14Justin DanforthChicago Wolves (CAR)RW223364201261681018.75%61848.3600000000002050.00%1022000.6500000010
15Spencer SmallmanChicago Wolves (CAR)C/LW223252751014131423.08%31757.9900001101172033.33%636000.5700100100
16Akito HiroseChicago Wolves (CAR)D22022-8601822161090%2441018.67000121000012000%0310000.1000000000
17Dmitrij JaskinChicago Wolves (CAR)C/LW/RW221122001918147117.14%424010.91000000000281060.00%12074000.1700000001
18Michael KesselringChicago Wolves (CAR)D220114161019232711120%1238117.3300000000016000%01014000.0500020000
19Jake MassieChicago Wolves (CAR)D22000000000000%0100.460000000002000%00000000000000
20Robin KovacsChicago Wolves (CAR)LW/RW22000-100200000%0170.780000100001000%00000000000000
21Mitchell Vande SompelChicago Wolves (CAR)D22000000000000%000.030000000000000%00000000000000
22Max WillmanChicago Wolves (CAR)C22000000100000%000.030000000000000%00000000000000
23Remi ElieChicago Wolves (CAR)LW22000000000000%000.010000000000000%00000000000000
Team Total or Average49775124199981921004564238012444239.36%219670113.486101621264224619116354.23%1313197181400.5901389121314
Filter Tips
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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
1Adam HuskaChicago Wolves (CAR)2216330.9202.55131900567023512000220332
2Veini VehvilainenChicago Wolves (CAR)20000.8464.14290021390000022000
Team Total or Average2416330.9192.58134800587153602002222332


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 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 HuskaChicago Wolves (CAR)G265/12/1997Yes214 Lbs6 ft4NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------Link
Akito Hirose (1 Way Contract)Chicago Wolves (CAR)D244/9/1999Yes170 Lbs6 ft0NoNoN/ANoNo4Pro & Farm4,350,000$4,350,000$0$No4,350,000$4,350,000$4,350,000$------NoNoNo------
Aliaksei ProtasChicago Wolves (CAR)C/RW231/6/2001No225 Lbs6 ft6NoNoN/ANoNo2Pro & Farm789,167$0$0$No789,167$--------No--------
Andrew MillerChicago Wolves (CAR)RW359/18/1988No181 Lbs5 ft10NoNoN/ANoNo4Pro & Farm775,000$0$0$No775,000$775,000$775,000$------NoNoNo------Link
Casey BaileyChicago Wolves (CAR)C3210/27/1991No195 Lbs6 ft3NoNoN/ANoNo4Pro & Farm775,000$0$0$No775,000$775,000$775,000$------NoNoNo------Link
Cody EakinChicago Wolves (CAR)C325/24/1991No196 Lbs6 ft0NoNoN/ANoNo4Pro & Farm900,000$0$0$No900,000$900,000$900,000$------NoNoNo------Link
Colton SceviourChicago Wolves (CAR)C/LW/RW344/20/1989No190 Lbs6 ft0NoNoN/ANoNo4Pro & Farm850,000$0$0$No850,000$850,000$850,000$------NoNoNo------Link
Dmitrij JaskinChicago Wolves (CAR)C/LW/RW303/23/1993No216 Lbs6 ft2NoNoN/ANoNo4Pro & Farm790,000$0$0$No790,000$790,000$790,000$------NoNoNo------Link
Dylan GuentherChicago Wolves (CAR)RW204/10/2003Yes175 Lbs6 ft2NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------
Filip LindbergChicago Wolves (CAR)G241/31/1999Yes180 Lbs6 ft0NoNoN/ANoNo2Pro & Farm925,000$0$0$No925,000$--------No--------Link
Ivan ProsvetovChicago Wolves (CAR)G243/5/1999Yes174 Lbs6 ft5NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------
Jacob MoverareChicago Wolves (CAR)D258/31/1998Yes198 Lbs6 ft3NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------
Jake MassieChicago Wolves (CAR)D261/21/1997 4:24:13 PMYes179 Lbs6 ft1NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------
Jakob PelletierChicago Wolves (CAR)LW223/7/2001Yes170 Lbs5 ft9NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------
Jonathan BernierChicago Wolves (CAR)G358/7/1988No185 Lbs6 ft0NoNoN/ANoNo1Pro & Farm2,500,000$0$0$No------------------NHL Link
Justin DanforthChicago Wolves (CAR)RW303/15/1993No190 Lbs5 ft9NoNoN/ANoNo3Pro & Farm975,000$0$0$No975,000$975,000$-------NoNo-------NHL Link
Kyle CliffordChicago Wolves (CAR)LW321/13/1991No212 Lbs6 ft2NoNoN/ANoNo4Pro & Farm850,000$0$0$No850,000$850,000$850,000$------NoNoNo------
Lukas DostalChicago Wolves (CAR)G236/22/2000Yes174 Lbs6 ft2NoNoN/ANoNo1Pro & Farm822,500$0$0$No------------------NHL Link
Max WillmanChicago Wolves (CAR)C282/13/1995No183 Lbs6 ft0NoNoN/ANoNo4Pro & Farm790,000$0$0$No790,000$790,000$790,000$------NoNoNo------
Maxim CajkovicChicago Wolves (CAR)LW/RW231/3/2001Yes185 Lbs5 ft11NoNoN/ANoNo2Pro & Farm850,833$0$0$No850,833$--------No--------
Michael ChaputChicago Wolves (CAR)C314/9/1992No199 Lbs6 ft2NoNoN/ANoNo4Pro & Farm775,000$0$0$No775,000$775,000$775,000$------NoNoNo------Link
Michael Ferland (1 Way Contract)Chicago Wolves (CAR)LW/RW314/20/1992No215 Lbs6 ft0NoNoN/ANoNo1Pro & Farm3,500,000$3,500,000$0$No------------------
Michael KesselringChicago Wolves (CAR)D231/13/2000Yes190 Lbs6 ft4NoNoN/ANoNo2Pro & Farm925,000$0$0$No925,000$--------No--------
Michael SpacekChicago Wolves (CAR)C264/9/1997Yes187 Lbs5 ft11NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------Link
Mitchell Vande SompelChicago Wolves (CAR)D262/11/1997Yes198 Lbs5 ft11NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------
Nick PerbixChicago Wolves (CAR)D256/15/1998Yes191 Lbs6 ft2NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------
Nikolai KnyzhovChicago Wolves (CAR)D253/20/1998Yes218 Lbs6 ft2NoNoN/ANoNo4Pro & Farm1,250,000$0$0$No1,250,000$1,250,000$1,250,000$------NoNoNo------
Nils LundkvistChicago Wolves (CAR)D237/27/2000Yes190 Lbs5 ft11NoNoN/ANoNo4Pro & Farm925,000$0$0$No925,000$925,000$925,000$------NoNoNo------NHL Link
Ondrej KaseChicago Wolves (CAR)RW2811/8/1995No187 Lbs6 ft0NoNoN/ANoNo3Pro & Farm1,100,000$0$0$No1,100,000$1,100,000$-------NoNo-------NHL Link
Parker WotherspoonChicago Wolves (CAR)D268/24/1997Yes181 Lbs6 ft1NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------NHL Link
Remi ElieChicago Wolves (CAR)LW284/16/1995No215 Lbs6 ft1NoNoN/ANoNo4Pro & Farm775,000$0$0$No775,000$775,000$775,000$------NoNoNo------Link
Robin KovacsChicago Wolves (CAR)LW/RW2711/16/1996Yes176 Lbs6 ft0NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------
Ryan ReavesChicago Wolves (CAR)RW361/20/1987No225 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,700,000$0$0$No------------------NHL Link
Sebastian Aho (D)Chicago Wolves (CAR)D272/17/1996No184 Lbs5 ft10NoNoN/ANoNo3Pro & Farm825,000$0$0$No825,000$825,000$-------NoNo-------Link
Sebastian CollbergChicago Wolves (CAR)RW292/22/1994No186 Lbs5 ft11NoNoN/ANoNo4Pro & Farm775,000$0$0$No775,000$775,000$775,000$------NoNoNo------
Spencer SmallmanChicago Wolves (CAR)C/LW279/3/1996Yes198 Lbs6 ft1NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------
Veini VehvilainenChicago Wolves (CAR)G262/13/1997Yes181 Lbs6 ft0NoNoN/ANoNo1Pro & Farm925,000$0$0$No------------------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3727.35192 Lbs6 ft12.411,073,446$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Justin DanforthAliaksei ProtasDylan Guenther40122
2Michael FerlandCody EakinOndrej Kase30122
3Kyle CliffordColton SceviourRyan Reaves20122
4Spencer SmallmanDmitrij JaskinRyan Reaves10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nick PerbixNils Lundkvist40122
2Sebastian Aho (D)Akito Hirose30122
3Michael KesselringJacob Moverare20122
4Michael KesselringJacob Moverare10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ryan ReavesAliaksei ProtasDylan Guenther60122
2Michael FerlandCody EakinOndrej Kase40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Nick PerbixNils Lundkvist60122
2Sebastian Aho (D)Akito Hirose40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Dmitrij JaskinRyan Reaves60122
2Cody EakinAliaksei Protas40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Nick PerbixNils Lundkvist60122
2Michael KesselringJacob Moverare40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Dmitrij Jaskin60122Nick PerbixNils Lundkvist60122
2Cody Eakin40122Michael KesselringJacob Moverare40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Dmitrij JaskinMichael Ferland60122
2Colton SceviourRyan Reaves40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Sebastian Aho (D)Nick Perbix60122
2Akito HiroseNils Lundkvist40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Ryan ReavesAliaksei ProtasDylan GuentherNick PerbixNils Lundkvist
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Ryan ReavesDmitrij JaskinAliaksei ProtasNick PerbixNils Lundkvist
Extra Forwards
Normal PowerPlayPenalty Kill
Dmitrij Jaskin, Dylan Guenther, Spencer SmallmanMichael Ferland, Ryan ReavesColton Sceviour
Extra Defensemen
Normal PowerPlayPenalty Kill
Sebastian Aho (D), Jacob Moverare, Nick PerbixSebastian Aho (D)Akito Hirose, Nils Lundkvist
Penalty Shots
Nils Lundkvist, Aliaksei Protas, Dylan Guenther, Dmitrij Jaskin, Ryan Reaves
Goalie
#1 : Adam Huska, #2 : Veini Vehvilainen
Custom OT Lines Forwards
Dylan Guenther, Colton Sceviour, Justin Danforth, Michael Ferland, Cody Eakin, Dmitrij Jaskin, Dmitrij Jaskin, Ryan Reaves, Spencer Smallman, Aliaksei Protas, Ondrej Kase
Custom OT Lines Defensemen
Sebastian Aho (D), Akito Hirose, Nils Lundkvist, Nick Perbix, Michael Kesselring


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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
1Milwaukee Admirals743000002523243100000191543120000068-280.571254267001229322272211326244202397010015614321.43%10460.00%127851454.09%26549054.08%16930954.69%488276437202424215
2Toronto Marlies64200000181533210000012843210000067-180.6671830480012293221822113262442014642401478225.00%10190.00%027851454.09%26549054.08%16930954.69%488276437202424215
3Tuscon Roadrunners54100000191363300000011652110000087180.800193251001229322204211326244201996717836116.67%7271.43%127851454.09%26549054.08%16930954.69%488276437202424215
4Utica Comets440000001376220000006332200000074381.00013203300122932214321132624420131403570500.00%5260.00%027851454.09%26549054.08%16930954.69%488276437202424215
Total2216600000755817121020000048321610640000027261320.727751241990012293228012113262442071521919245633618.18%32971.88%227851454.09%26549054.08%16930954.69%488276437202424215
_Since Last GM Reset2216600000755817121020000048321610640000027261320.727751241990012293228012113262442071521919245633618.18%32971.88%227851454.09%26549054.08%16930954.69%488276437202424215
_Vs Conference1712500000564511972000003726118530000019190240.70656921480012293225972113262442051615217537327518.52%25772.00%127851454.09%26549054.08%16930954.69%488276437202424215

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2232W27512419980171521919245600
All Games
GPWLOTWOTL SOWSOLGFGA
2216600007558
Home Games
GPWLOTWOTL SOWSOLGFGA
1210200004832
Visitor Games
GPWLOTWOTL SOWSOLGFGA
106400002726
Last 10 Games
WLOTWOTL SOWSOL
900100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
33618.18%32971.88%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
211326244201229322
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
27851454.09%26549054.08%16930954.69%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
488276437202424215


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
16Milwaukee Admirals5Chicago Wolves7BWBoxScore
214Milwaukee Admirals2Chicago Wolves4BWBoxScore
322Chicago Wolves2Milwaukee Admirals5ALBoxScore
430Chicago Wolves1Milwaukee Admirals2ALBoxScore
538Milwaukee Admirals4Chicago Wolves3BLXBoxScore
646Chicago Wolves3Milwaukee Admirals1AWBoxScore
754Milwaukee Admirals4Chicago Wolves5BWXBoxScore
860Toronto Marlies3Chicago Wolves2BLXBoxScore
964Toronto Marlies2Chicago Wolves5BWBoxScore
1068Chicago Wolves1Toronto Marlies5ALBoxScore
1172Chicago Wolves3Toronto Marlies1AWBoxScore
1276Toronto Marlies3Chicago Wolves5BWBoxScore
1380Chicago Wolves2Toronto Marlies1AWBoxScore
1586Chicago Wolves4Utica Comets3AWXBoxScore
1688Chicago Wolves3Utica Comets1AWBoxScore
1790Utica Comets2Chicago Wolves4BWBoxScore
1892Utica Comets1Chicago Wolves2BWBoxScore
2299Tuscon Roadrunners1Chicago Wolves3BWBoxScore
23100Tuscon Roadrunners3Chicago Wolves4BWBoxScore
24101Chicago Wolves3Tuscon Roadrunners4ALXBoxScore
25102Chicago Wolves5Tuscon Roadrunners3AWBoxScore
26103Tuscon Roadrunners2Chicago Wolves4BWBoxScore



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
29 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 3,186,750$ 3,158,000$ 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

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