Login

Wolves
GP: 54 | W: 24 | L: 22 | OTL: 8 | P: 56
GF: 207 | GA: 222 | PP%: 19.58% | PK%: 80.95%
GM : Eric Lamonde | Morale : 29 | Team Overall : 62
Next Games #733 vs Penguins
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Wolves
24-22-8, 56pts
6
FINAL
3 Icehogs
30-16-7, 67pts
Team Stats
W2StreakOTW1
12-11-5Home Record16-8-4
12-11-3Away Record14-8-3
5-3-2Last 10 Games4-5-1
3.83Goals Per Game4.28
4.11Goals Against Per Game3.92
19.58%Power Play Percentage21.05%
80.95%Penalty Kill Percentage78.65%
Crunch
29-25-4, 62pts
3
FINAL
6 Wolves
24-22-8, 56pts
Team Stats
L3StreakW2
13-13-2Home Record12-11-5
16-12-2Away Record12-11-3
3-5-2Last 10 Games5-3-2
4.36Goals Per Game3.83
4.14Goals Against Per Game4.11
23.90%Power Play Percentage19.58%
72.25%Penalty Kill Percentage80.95%
Penguins
29-20-6, 64pts
2023-03-15
Wolves
24-22-8, 56pts
Team Stats
W2StreakW2
15-8-5Home Record12-11-5
14-12-1Away Record12-11-3
7-2-1Last 10 Games5-3-2
4.09Goals Per Game3.83
4.20Goals Against Per Game3.83
24.27%Power Play Percentage19.58%
74.62%Penalty Kill Percentage80.95%
Comets
33-20-2, 68pts
2023-03-20
Wolves
24-22-8, 56pts
Team Stats
SOW1StreakW2
18-10-0Home Record12-11-5
15-10-2Away Record12-11-3
6-4-0Last 10 Games5-3-2
4.07Goals Per Game3.83
3.87Goals Against Per Game3.83
19.46%Power Play Percentage19.58%
81.94%Penalty Kill Percentage80.95%
Wolves
24-22-8, 56pts
2023-03-22
Marlies
33-20-3, 69pts
Team Stats
W2StreakW1
12-11-5Home Record18-9-1
12-11-3Away Record15-11-2
5-3-2Last 10 Games6-4-0
3.83Goals Per Game4.38
4.11Goals Against Per Game4.38
19.58%Power Play Percentage25.22%
80.95%Penalty Kill Percentage74.31%
Team Leaders
Goals
Eric Robinson
24
Assists
Cedric Paquette
38
Points
Cedric Paquette
61
Plus/Minus
Corey Shueneman
10
Wins
Ebbe Siönäs
20
Save Percentage
Ebbe Siönäs
0.888

Team Stats
Goals For
207
3.83 GFG
Shots For
1766
32.70 Avg
Power Play Percentage
19.6%
37 GF
Offensive Zone Start
36.3%
Goals Against
222
4.11 GAA
Shots Against
1894
35.07 Avg
Penalty Kill Percentage
81.0%%
40 GA
Defensive Zone Start
36.0%
Team Info

General ManagerEric Lamonde
CoachPaul Maurice
DivisionMax-Sillig
ConferenceLouis-Magnus
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,756
Season Tickets300


Roster Info

Pro Team28
Farm Team19
Contract Limit47 / 250
Prospects0


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
1Frederick Gaudreau (R)X100.0067478765748780736474657166575151427002431,000,000$
2Cedric Paquette (R)X100.008864826780628577647067576858504247690242700,000$
3Antti Suomela (R)X100.007439707681657664687370586949495543670234800,000$
4Jake Evans (R)X100.006841747464667074747268566344455432670211500,000$
5Thomas Spelling (R)X100.006431797767677280606371587252493343670241500,000$
6Eric Robinson (R)X100.005930777268707068636276496854485043650222500,000$
7Hayden Hodgson (R)X100.007430937168686650366947844344465821650212500,000$
8Fredrik Olofsson (R)X100.007142616466557568626960565545444845620212500,000$
9Wade Allison (R)X100.005529776662636766615971476044445321610201500,000$
10Liam O'Brien (R)X100.007858747080548855666154425548514142600231500,000$
11Sasha Chmelevski (R)X100.005324686149556359727263394840408028570182500,000$
12Jonah Gadjovich (R)X100.006241595775437064485264415142437036560192500,000$
13Maksim Sushko (R)X100.004723703758646362484772325940407743530182500,000$
14Parker Kelly (R)X100.005723674357505959565258315440405940510182500,000$
15Stelio Mattheos (R)X100.005633695148516055464747515640406643510182500,000$
16Joona Koppanen (R)X100.005932525263416449445848475241415821500191500,000$
17Anton Lindholm (R)X100.007330846970687371517160885758484833720223975,000$
18Jakub Zboril (R)X100.006841797269666869477263715645446441680204800,000$
19Corey Shueneman (R)X100.007147796857766668447456735646485529680222500,000$
20Samuel Girard (R)X100.005427797461586475408357664542426843650191500,000$
21Dylan Coghlan (R)X100.005429845860626756406550684642427025600191500,000$
22Kyle Capobianco (R)X100.005534746945565467356547544242424846570201500,000$
23Jack Ahcan (R)X100.005429715660586248195237683542454849560201500,000$
Scratches
1Jalen Chatfield (R)X94.798050716886745957396855724746466328690211500,000$
2Matthew Kiersted (R)X67.255236845865606652266236643642435718590192500,000$
TEAM AVERAGE98.48643675646562686351645858544645573662
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
1Ebbe Siönäs98.00537764636366707681736449464541680222800,000$
2Ukko-Pekka Luukkonen (R)100.00467455555965588275644440407643620182500,000$
Scratches
1Ian Scott (R)100.00554144505342394758435940407041480181500,000$
TEAM AVERAGE99.3351645456585856687160564342644259
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Paul Maurice73946168788261Can504500,000$


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
1Cedric PaquetteWolves (Veg)C54233861-2315114112148488015.54%25103319.14510151014400071102145.15%10922423021.1838001523
2Alexandre GrenierGolden KnightsRW2820325282005243118356516.95%1558921.04591413800110372252.83%1062313001.7714000521
3Frederick GaudreauWolves (Veg)C32202949-3805275131335315.27%2471322.28391218981123942047.78%9441520011.3701000252
4Antti SuomelaWolves (Veg)C54192847-64208795167438811.38%2492217.092810109001141022048.27%8393213001.0204000211
5Thomas SpellingWolves (Veg)RW54222143-716065491936312811.40%2689016.494812291330004352044.68%474510000.9703000250
6Jake EvansWolves (Veg)C5018244211805174137407013.14%766413.2963913660221392154.29%4312419001.2600000112
7Eric RobinsonWolves (Veg)LW5424174193608065126397719.05%21108620.114481214910141032252.94%853621000.7601000122
8Jakub ZborilWolves (Veg)D5082230-73810541028631539.30%72118523.7132511137011014711100.00%12340000.5100101120
9Fredrik OlofssonWolves (Veg)LW51121426-7320875196354512.50%1671013.941011432024462050.00%22139010.7300000212
10Samuel GirardWolves (Veg)D5422325-522034536027373.33%4993217.27145583000093200.00%01825000.5400000001
11Jalen ChatfieldWolves (Veg)D5132023-20535103856229314.84%80128025.1112341610000162000.00%01240000.3600010103
12Wade AllisonWolves (Veg)RW4113619-2120223085243615.29%449111.99112328000032156.52%23134010.7700000021
13Corey ShuenemanWolves (Veg)D42314171022038744713186.38%4284820.21033297022199000.00%01735000.4000000001
14Anton LindholmWolves (Veg)D2721416-616046606018153.33%4868125.241121177011173000.00%01328000.4701000001
15Hayden HodgsonWolves (Veg)LW35312156005349417227.32%1558316.670444870000231031.71%41517000.5100000002
16Christopher TanevGolden KnightsD2741115-210030444815238.33%6477528.714377117011191000.00%01319000.3900000000
17Dylan CoghlanWolves (Veg)D542101278025623915175.13%5870012.97101129000040110.00%0225000.3400000010
18Maksim SushkoWolves (Veg)RW544610114015102872114.29%44959.1800002000000014.29%1483000.4000000000
19Kyle RauGolden KnightsC4437-2001111951021.05%29523.921233120000160061.81%14441001.4611000000
20Jonah GadjovichWolves (Veg)LW32617-412034162514824.00%43129.77000000000140062.50%832000.4500000011
21Liam O'BrienWolves (Veg)C522462603718389165.26%62995.7600001000000045.78%83103000.4000000001
22Matthew KierstedWolves (Veg)D370447207237150.00%283188.6200000000022000.00%009000.2500000000
23Parker KellyWolves (Veg)LW52314-140193131823.08%12053.95000010000140140.00%1500000.3900000001
24Lawson CrouseGolden KnightsLW3033-380689360.00%06521.91011170000100048.15%2721000.9101000000
25Jack AhcanWolves (Veg)D39033-2207134730.00%122025.190000000003000.00%006000.3000000000
26Kyle CapobiancoWolves (Veg)D3902216011209240.00%203559.1300001000016000.00%015000.1100000000
27Stelio MattheosWolves (Veg)RW53022-52011108350.00%01863.5200000000000050.00%601000.2100000000
28Sasha ChmelevskiWolves (Veg)C37101-2000172014.29%0461.2500013000061050.00%800000.4300000000
29Joona KoppanenWolves (Veg)C26000200020000.00%0210.84000000000140033.33%600000.00%00000000
Team Total or Average1186218364582-514302011411258181156994412.04%6671669614.084374117159165941014301425241048.33%3942356392050.70524112222525
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
1Ebbe SiönäsWolves (Veg)47201760.8883.932518001651475810220.56216467232
2Ukko-Pekka LuukkonenWolves (Veg)184520.8823.897560049417239000.6676846000
Team Total or Average65242280.8873.923275002141892104922225453232


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 Contract 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 10Link
Anton LindholmWolves (Veg)D221995-01-01Yes191 Lbs5 ft11NoNoNo3Pro & Farm975,000$317,112$0$0$No1,100,000$2,000,000$Link
Antti SuomelaWolves (Veg)C231994-01-01Yes180 Lbs6 ft0NoNoNo4Pro & Farm800,000$260,194$0$0$No975,000$1,200,000$1,800,000$Link
Cedric PaquetteWolves (Veg)C241993-01-01Yes180 Lbs6 ft0NoNoNo2Pro & Farm700,000$227,670$0$0$No750,000$Link
Corey ShuenemanWolves (Veg)D221995-01-01Yes196 Lbs6 ft0NoNoNo2Pro & Farm500,000$162,621$0$0$No500,000$Link
Dylan CoghlanWolves (Veg)D191998-01-01Yes190 Lbs6 ft2NoNoNo1Pro & Farm500,000$162,621$0$0$NoLink
Ebbe SiönäsWolves (Veg)G221995-01-01No185 Lbs5 ft11NoNoNo2Pro & Farm800,000$260,194$0$0$No975,000$Link
Eric RobinsonWolves (Veg)LW221995-01-01Yes197 Lbs6 ft2NoNoNo2Pro & Farm500,000$162,621$0$0$No500,000$Link
Frederick GaudreauWolves (Veg)C241993-01-01Yes179 Lbs6 ft0NoNoNo3Pro & Farm1,000,000$325,243$0$0$No1,500,000$2,000,000$Link
Fredrik OlofssonWolves (Veg)LW211996-01-01Yes204 Lbs6 ft2NoNoNo2Pro & Farm500,000$162,621$0$0$No500,000$Link
Hayden HodgsonWolves (Veg)LW211996-01-01Yes220 Lbs6 ft6NoNoNo2Pro & Farm500,000$162,621$0$0$No500,000$Link
Ian ScottWolves (Veg)G181999-01-01Yes178 Lbs6 ft0NoNoNo1Pro & Farm500,000$162,621$0$0$NoLink
Jack AhcanWolves (Veg)D201997-01-01Yes180 Lbs5 ft9NoNoNo1Farm Only500,000$162,621$0$0$NoLink
Jake EvansWolves (Veg)C211996-01-01Yes188 Lbs6 ft0NoNoNo1Pro & Farm500,000$162,621$0$0$NoLink
Jakub ZborilWolves (Veg)D201997-01-01Yes200 Lbs6 ft0NoNoNo4Pro & Farm800,000$260,194$0$0$No975,000$2,000,000$2,500,000$Link
Jalen ChatfieldWolves (Veg)D211996-01-01Yes187 Lbs6 ft1NoNoNo1Pro & Farm500,000$162,621$0$0$NoLink
Jonah GadjovichWolves (Veg)LW191998-01-01Yes209 Lbs6 ft2NoNoNo2Pro & Farm500,000$162,621$0$0$No500,000$Link
Joona KoppanenWolves (Veg)C191998-01-01Yes205 Lbs6 ft5NoNoNo1Pro & Farm500,000$162,621$0$0$NoLink
Kyle CapobiancoWolves (Veg)D201997-01-01Yes196 Lbs6 ft1NoNoNo1Farm Only500,000$162,621$0$0$NoLink
Liam O'BrienWolves (Veg)C231994-01-01Yes214 Lbs6 ft1NoNoNo1Pro & Farm500,000$162,621$0$0$NoLink
Maksim SushkoWolves (Veg)RW181999-01-01Yes206 Lbs6 ft0NoNoNo2Pro & Farm500,000$162,621$0$0$No500,000$Link
Matthew Kiersted (Out of Payroll)Wolves (Veg)D191998-01-01Yes181 Lbs6 ft0NoNoNo2Pro & Farm500,000$162,621$0$0$Yes500,000$Link
Parker KellyWolves (Veg)LW181999-01-01Yes188 Lbs6 ft0NoNoNo2Pro & Farm500,000$162,621$0$0$No500,000$Link
Samuel GirardWolves (Veg)D191998-01-01Yes170 Lbs5 ft10NoNoNo1Pro & Farm500,000$162,621$0$0$NoLink
Sasha ChmelevskiWolves (Veg)C181999-01-01Yes188 Lbs6 ft0NoNoNo2Pro & Farm500,000$162,621$0$0$No500,000$Link
Stelio MattheosWolves (Veg)RW181999-01-01Yes200 Lbs6 ft1NoNoNo2Pro & Farm500,000$162,621$0$0$No500,000$Link
Thomas SpellingWolves (Veg)RW241993-01-01Yes176 Lbs6 ft1NoNoNo1Pro & Farm500,000$162,621$0$0$NoLink
Ukko-Pekka LuukkonenWolves (Veg)G181999-01-01Yes217 Lbs6 ft5NoNoNo2Pro & Farm500,000$162,621$0$0$No500,000$Link
Wade AllisonWolves (Veg)RW201997-01-01Yes205 Lbs6 ft2NoNoNo1Pro & Farm500,000$162,621$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2820.46193 Lbs6 ft11.82574,107$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Eric RobinsonFrederick GaudreauThomas Spelling40122
2Hayden HodgsonCedric PaquetteWade Allison30122
3Fredrik OlofssonAntti SuomelaMaksim Sushko20122
4Jonah GadjovichJake EvansStelio Mattheos10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Anton LindholmJakub Zboril40122
2Corey ShuenemanSamuel Girard30122
3Dylan CoghlanKyle Capobianco20122
4Jack AhcanAnton Lindholm10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Eric RobinsonFrederick GaudreauThomas Spelling60122
2Hayden HodgsonCedric PaquetteWade Allison40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Anton LindholmJakub Zboril60122
2Corey ShuenemanSamuel Girard40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Frederick GaudreauEric Robinson60122
2Cedric PaquetteHayden Hodgson40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Anton LindholmJakub Zboril60122
2Corey ShuenemanSamuel Girard40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Frederick Gaudreau60122Anton LindholmJakub Zboril60122
2Cedric Paquette40122Corey ShuenemanSamuel Girard40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Frederick GaudreauEric Robinson60122
2Cedric PaquetteHayden Hodgson40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Anton LindholmJakub Zboril60122
2Corey ShuenemanSamuel Girard40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Eric RobinsonFrederick GaudreauThomas SpellingAnton LindholmJakub Zboril
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Eric RobinsonFrederick GaudreauThomas SpellingAnton LindholmJakub Zboril
Extra Forwards
Normal PowerPlayPenalty Kill
Jake Evans, Eric Robinson, Hayden HodgsonJake Evans, Eric RobinsonJake Evans
Extra Defensemen
Normal PowerPlayPenalty Kill
Dylan Coghlan, Kyle Capobianco, Jack AhcanDylan CoghlanDylan Coghlan, Kyle Capobianco
Penalty Shots
Frederick Gaudreau, Cedric Paquette, Thomas Spelling, Antti Suomela, Jake Evans
Goalie
#1 : Ebbe Siönäs, #2 : Ukko-Pekka Luukkonen


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
1Admirals210001001091110000005321000010056-130.7501018280068726627560258856830551910447342.86%5340.00%1593120249.33%588119249.33%45191549.29%11096091192511978479
2Barracuda210001009721000010045-11100000052330.750915240068726626660258856830752014395240.00%7185.71%0593120249.33%588119249.33%45191549.29%11096091192511978479
3Bears833000023234-23200000113103513000011924-580.50032528400687266224860258856830300858714834617.65%42978.57%2593120249.33%588119249.33%45191549.29%11096091192511978479
4Comets2200000011650000000000022000000116541.0001120310068726626260258856830752212456233.33%60100.00%0593120249.33%588119249.33%45191549.29%11096091192511978479
5Condors211000007701010000035-21100000042220.5007121900687266265602588568305618841700.00%4175.00%0593120249.33%588119249.33%45191549.29%11096091192511978479
6Crunch22000000954110000006331100000032141.0009152400687266259602588568307128224311327.27%11281.82%0593120249.33%588119249.33%45191549.29%11096091192511978479
7Devils41300000815-72110000048-42020000047-320.25081422006872662100602588568301623844761500.00%22386.36%0593120249.33%588119249.33%45191549.29%11096091192511978479
8Eagles22000000954220000009540000000000041.000913220068726625660258856830712714428225.00%70100.00%1593120249.33%588119249.33%45191549.29%11096091192511978479
9Griffins11000000431110000004310000000000021.000471100687266225602588568302811219400.00%10100.00%0593120249.33%588119249.33%45191549.29%11096091192511978479
10Heat1010000068-21010000068-20000000000000.00068140068726624260258856830439821300.00%40100.00%0593120249.33%588119249.33%45191549.29%11096091192511978479
11Icehogs32100000171252110000011921100000063340.667172542106872662116602588568309735226211545.45%11463.64%0593120249.33%588119249.33%45191549.29%11096091192511978479
12Little Stars311000011014-420100001611-51100000043130.50010182800687266211360258856830120302551700.00%10280.00%0593120249.33%588119249.33%45191549.29%11096091192511978479
13Marlies1010000023-11010000023-10000000000000.000246006872662286025885683032166194250.00%30100.00%0593120249.33%588119249.33%45191549.29%11096091192511978479
14Monsters1010000034-1000000000001010000034-100.00036900687266239602588568302913415100.00%20100.00%0593120249.33%588119249.33%45191549.29%11096091192511978479
15Moose413000001316-32110000010912020000037-420.250132235006872662131602588568301455026899333.33%13192.31%0593120249.33%588119249.33%45191549.29%11096091192511978479
16Penguins2010001078-1000000000002010001078-120.500710171068726626460258856830653920445120.00%10370.00%0593120249.33%588119249.33%45191549.29%11096091192511978479
17Phantoms1010000038-51010000038-50000000000000.000358006872662336025885683041141227100.00%60100.00%0593120249.33%588119249.33%45191549.29%11096091192511978479
18Rampage2110000058-31010000016-51100000042220.50059140068726626360258856830651916323133.33%8275.00%0593120249.33%588119249.33%45191549.29%11096091192511978479
19Reign20000002911-21000000156-11000000145-120.500913220068726627260258856830762216441100.00%8362.50%1593120249.33%588119249.33%45191549.29%11096091192511978479
20Rocket11000000541110000005410000000000021.0005914006872662336025885683029102244125.00%10100.00%0593120249.33%588119249.33%45191549.29%11096091192511978479
21Senators211000001213-11010000058-31100000075220.5001218300068726626260258856830662022349222.22%11281.82%0593120249.33%588119249.33%45191549.29%11096091192511978479
22Sound Tigers412000011016-631100001913-41010000013-230.3751016260068726621446025885683012438339720315.00%14378.57%0593120249.33%588119249.33%45191549.29%11096091192511978479
23Thunderbirds1010000035-2000000000001010000035-200.0003690068726624060258856830351062011100.00%3166.67%0593120249.33%588119249.33%45191549.29%11096091192511978479
24Wolfpack11000000312000000000001100000031221.0003580068726623060258856830343229300.00%10100.00%0593120249.33%588119249.33%45191549.29%11096091192511978479
Total54232200216207222-1528121100104111127-162611110011296951560.519207340547206872662176660258856830189459643311051893719.58%2104080.95%5593120249.33%588119249.33%45191549.29%11096091192511978479
_Since Last GM Reset54232200216207222-1528121100104111127-162611110011296951560.519207340547206872662176660258856830189459643311051893719.58%2104080.95%5593120249.33%588119249.33%45191549.29%11096091192511978479
_Vs Conference31141200014107117-101474000034856-81778000115961-2340.5481071782851068726629796025885683011223392816271131916.81%1342581.34%3593120249.33%588119249.33%45191549.29%11096091192511978479
_Vs Division1658000035065-15842000022631-5816000012434-10130.40650821320068726624926025885683058616116432169913.04%781580.77%2593120249.33%588119249.33%45191549.29%11096091192511978479

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5456W220734054717661894596433110520
All Games
GPWLOTWOTL SOWSOLGFGA
5423220216207222
Home Games
GPWLOTWOTL SOWSOLGFGA
2812110104111127
Visitor Games
GPWLOTWOTL SOWSOLGFGA
26111101129695
Last 10 Games
WLOTWOTL SOWSOL
430111
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1893719.58%2104080.95%5
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
602588568306872662
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
593120249.33%588119249.33%45191549.29%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
11096091192511978479


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
1 - 2022-10-273Wolves5Bears6ALXXBoxScore
4 - 2022-10-3021Bears5Wolves8BWBoxScore
6 - 2022-11-0133Bears4Wolves3BLXXBoxScore
8 - 2022-11-0342Wolves2Devils3ALBoxScore
10 - 2022-11-0550Wolves6Bears5AWBoxScore
11 - 2022-11-0658Wolves1Sound Tigers3ALR1BoxScore
14 - 2022-11-0975Wolves3Bears4ALBoxScore
15 - 2022-11-1078Devils6Wolves1BLBoxScore
19 - 2022-11-14100Sound Tigers5Wolves4BLXXR1BoxScore
21 - 2022-11-16115Wolves2Moose3ALBoxScore
23 - 2022-11-18126Moose5Wolves3BLBoxScore
27 - 2022-11-22148Eagles2Wolves3BWBoxScore
31 - 2022-11-26164Wolves3Crunch2AWBoxScore
33 - 2022-11-28174Rampage6Wolves1BLBoxScore
36 - 2022-12-01192Little Stars6Wolves2BLBoxScore
39 - 2022-12-04208Wolves3Thunderbirds5ALBoxScore
42 - 2022-12-07219Sound Tigers2Wolves3BWR1BoxScore
44 - 2022-12-09230Wolves4Condors2AWBoxScore
46 - 2022-12-11244Icehogs5Wolves9BWBoxScore
48 - 2022-12-13251Wolves5Admirals6ALXBoxScore
52 - 2022-12-17270Icehogs4Wolves2BLBoxScore
55 - 2022-12-20286Wolves1Bears3ALBoxScore
58 - 2022-12-23296Bears1Wolves2BWBoxScore
61 - 2022-12-26310Wolves4Little Stars3AWBoxScore
63 - 2022-12-28320Phantoms8Wolves3BLBoxScore
67 - 2023-01-01342Wolves4Rampage2AWBoxScore
68 - 2023-01-02350Reign6Wolves5BLXXBoxScore
71 - 2023-01-05368Wolves6Comets3AWBoxScore
73 - 2023-01-07375Senators8Wolves5BLBoxScore
76 - 2023-01-10387Wolves3Wolfpack1AWBoxScore
78 - 2023-01-12402Rocket4Wolves5BWBoxScore
80 - 2023-01-14411Wolves5Barracuda2AWBoxScore
83 - 2023-01-17426Griffins3Wolves4BWBoxScore
86 - 2023-01-20444Wolves5Comets3AWBoxScore
89 - 2023-01-23455Condors5Wolves3BLBoxScore
91 - 2023-01-25472Wolves3Monsters4ALBoxScore
93 - 2023-01-27481Admirals3Wolves5BWBoxScore
95 - 2023-01-29497Wolves1Moose4ALBoxScore
97 - 2023-01-31505Little Stars5Wolves4BLXXBoxScore
101 - 2023-02-04527Heat8Wolves6BLBoxScore
104 - 2023-02-07537Wolves7Senators5AWBoxScore
106 - 2023-02-09553Marlies3Wolves2BLBoxScore
109 - 2023-02-12569Wolves4Bears6ALBoxScore
111 - 2023-02-14579Eagles3Wolves6BWBoxScore
116 - 2023-02-19604Devils2Wolves3BWBoxScore
118 - 2023-02-21613Wolves2Penguins4ALBoxScore
121 - 2023-02-24629Sound Tigers6Wolves2BLR1BoxScore
123 - 2023-02-26638Wolves5Penguins4AWXXBoxScore
126 - 2023-03-01652Wolves4Reign5ALXXBoxScore
127 - 2023-03-02659Barracuda5Wolves4BLXBoxScore
130 - 2023-03-05680Moose4Wolves7BWBoxScore
133 - 2023-03-08693Wolves2Devils4ALBoxScore
135 - 2023-03-10705Wolves6Icehogs3AWBoxScore
136 - 2023-03-11712Crunch3Wolves6BWBoxScore
140 - 2023-03-15733Penguins-Wolves-
145 - 2023-03-20758Comets-Wolves-
147 - 2023-03-22769Wolves-Marlies-
151 - 2023-03-26784Bears-Wolves-
155 - 2023-03-30809Rampage-Wolves-
157 - 2023-04-01817Wolves-Griffins-
159 - 2023-04-03827Wolves-Heat-
Trade Deadline --- Trades can’t be done after this day is simulated!
161 - 2023-04-05836Monsters-Wolves-
163 - 2023-04-07845Wolves-Crunch-
165 - 2023-04-09852Wolves-Heat-
167 - 2023-04-11863Penguins-Wolves-
169 - 2023-04-13877Wolves-Rocket-
171 - 2023-04-15887Wolfpack-Wolves-
173 - 2023-04-17896Wolves-Punishers-
176 - 2023-04-20911Wolves-Thunderbirds-
178 - 2023-04-22919Devils-Wolves-
182 - 2023-04-26939Punishers-Wolves-
186 - 2023-04-30960Wolves-Phantoms-
187 - 2023-05-01965Punishers-Wolves-
189 - 2023-05-03974Wolves-Punishers-
192 - 2023-05-06987Wolves-Eagles-
193 - 2023-05-07990Wolves-Sound Tigers-
195 - 2023-05-09999Wolfpack-Wolves-
201 - 2023-05-151018Thunderbirds-Wolves-
203 - 2023-05-171026Wolves-Devils-
204 - 2023-05-181032Wolves-Sound Tigers-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance51,20525,951
Attendance PCT91.44%92.68%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
12 2756 - 91.85% 81,804$2,290,514$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,787,461$ 1,557,500$ 1,482,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
7,561$ 1,446,456$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
981,649$ 67 9,988$ 669,196$




Wolves 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

Wolves Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

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

Wolves 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

Wolves Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA