Login

Wolves
GP: 72 | W: 47 | L: 20 | OTL: 5 | P: 99
GF: 259 | GA: 202 | PP%: 24.83% | PK%: 80.00%
GM : Mathieu Lavigne | Morale : 95 | Team Overall : N/A
Next Games #1139 vs Bruins
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Silver Knights
39-19-13, 91pts
3
FINAL
4 Wolves
47-20-5, 99pts
Team Stats
W4StreakL1
22-11-3Home Record24-10-1
17-8-10Away Record23-10-4
7-2-1Last 10 Games6-1-3
3.30Goals Per Game3.60
2.77Goals Against Per Game2.81
21.21%Power Play Percentage24.83%
86.78%Penalty Kill Percentage80.00%
Silver Knights
39-19-13, 91pts
4
FINAL
1 Wolves
47-20-5, 99pts
Team Stats
W4StreakL1
22-11-3Home Record24-10-1
17-8-10Away Record23-10-4
7-2-1Last 10 Games6-1-3
3.30Goals Per Game3.60
2.77Goals Against Per Game2.81
21.21%Power Play Percentage24.83%
86.78%Penalty Kill Percentage80.00%
Wolves
47-20-5, 99pts
2023-03-18
Bruins
39-29-3, 81pts
Team Stats
L1StreakW1
24-10-1Home Record22-12-1
23-10-4Away Record17-17-2
6-1-3Last 10 Games6-3-1
3.60Goals Per Game3.08
2.81Goals Against Per Game2.80
24.83%Power Play Percentage23.66%
80.00%Penalty Kill Percentage83.18%
Canucks
31-31-9, 71pts
2023-03-19
Wolves
47-20-5, 99pts
Team Stats
W1StreakL1
15-17-4Home Record24-10-1
16-14-5Away Record23-10-4
5-5-0Last 10 Games6-1-3
2.87Goals Per Game3.60
3.21Goals Against Per Game2.81
17.34%Power Play Percentage24.83%
79.34%Penalty Kill Percentage80.00%
Admirals
26-35-9, 61pts
2023-03-26
Wolves
47-20-5, 99pts
Team Stats
L2StreakL1
12-19-5Home Record24-10-1
14-16-4Away Record23-10-4
3-6-1Last 10 Games6-1-3
2.83Goals Per Game3.60
3.70Goals Against Per Game2.81
16.85%Power Play Percentage24.83%
77.42%Penalty Kill Percentage80.00%
Team Leaders
Noah GregorGoals
Noah Gregor
27
Zachary JonesAssists
Zachary Jones
40
Noah CatesPoints
Noah Cates
62
Plus/Minus
Jordan Sambrook
21
Ivan ProsvetovWins
Ivan Prosvetov
45
Ivan ProsvetovSave Percentage
Ivan Prosvetov
0.908

Team Stats
Goals For
259
3.60 GFG
Shots For
2517
34.96 Avg
Power Play Percentage
24.8%
72 GF
Offensive Zone Start
43.1%
Goals Against
202
2.81 GAA
Shots Against
2116
29.39 Avg
Penalty Kill Percentage
80.0%
61 GA
Defensive Zone Start
38.7%
Team Info

General ManagerMathieu Lavigne
CoachGuy Boucher
DivisionCentral
ConferenceWestern
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,801
Season Tickets300


Roster Info

Pro Team24
Farm Team21
Contract Limit45 / 50
Prospects40


Team History

This Season47-20-5 (99PTS)
History245-181-38 (0.528%)
Playoff Appearances1
Playoff Record (W-L)16-11
Stanley Cup1


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
1Alexander TrueX100.008565696689979172697272716171705588002511,250,000$
2Noah Gregor (R)XXX100.006047887874866678717175717166685175002421,250,000$
3Jordan MartinookXXX100.007640826774749566756465786479785352003021,500,000$
4Collin Adams (R)X100.006456807972747578607372697166685879002411,250,000$
5Peter HollandXX100.008065686779979372727171716281746485003211,100,000$
6Eetu Pakkila (R)X100.00584492797276757760727269686567538400232750,000$
7Pontus Holmberg (R)XXX100.00615086787573757660737167696565637900241750,000$
8Josh Lopina (R)X100.006949857680757576756969716962657085002231,250,000$
9Waltteri Merela  (R)X100.006558757681808078607171727165675079002421,000,000$
10Jan Jenik (R)XX100.00746961807084857670727069706365758500222850,000$
11Noah Cates (R)X100.00724656777982757957767671766571658700242750,000$
12Ty Lewis (R)XX100.00625578787680807760686870686467508500251750,000$
13Jordan Sambrook (R)X100.008060656479807872307271734570724783002421,000,000$
14Scott HarringtonX100.007449836682728666307265715278736086003011,000,000$
15Adam Wilsby (R)X100.00615283787780807630747075676468688500222750,000$
16Zachary Jones (R)X100.00655778797481807430736977686363747700222850,000$
17Peetro Seppala  (R)X100.006454807680858576307068776863665085002221,000,000$
18Jake Livingstone (R)X100.006555797783858578306967786764675085002321,000,000$
Scratches
1Trevor LewisXXX100.008042877378715766726664736591844048003611,000,000$
2Andreas EnglundX100.00584081648184716330626262457371672000271963,000$
3Johannes Kinnvall (R)X100.006445856661848763306363684773695720002511,000,000$
TEAM AVERAGE100.0068527874778180735270697264696958740
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
1Matthew Galajda100.00847283788987868685858467684785002511,250,000$
2Ivan Prosvetov (R)100.0088778275938690868290826464708300242750,000$
Scratches
1Ian Scott (R)100.0072767585777575757572726466652000242750,000$
TEAM AVERAGE100.008175807986838482818279656661630
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Guy Boucher72748475736876CAN5032,100,000$


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
1Noah CatesWolves (CAR)LW71243862926075119284701648.45%10148020.8571724562501013375038.13%16000000.8401000653
2Peetro Seppala Wolves (CAR)D722039591868101221002006311710.00%106175724.411311241162560331221310.00%000000.6700101432
3Noah GregorWolves (CAR)C/LW/RW63273158960231552125914212.74%15133221.1561622472291014583351.23%170800010.8722000532
4Alexander TrueWolves (CAR)C712134551272102591741444710914.58%21155621.92412163221512352322451.27%217300000.7107011655
5Jan JenikWolves (CAR)C/RW722034541411230276951937015110.36%9140019.448122048251000001441.60%12500000.7714213565
6Zachary JonesWolves (CAR)D67124052125401458513751878.76%67151222.5781725922210001196010.00%000000.6900000121
7Eetu PakkilaWolves (CAR)LW7016334917201293184541678.70%15127718.252151741197000162047.06%10200000.7701000220
8Jake LivingstoneWolves (CAR)D721828466620130106140349012.86%88154121.419817852170000209510.00%000010.6000000213
9Adam WilsbyWolves (CAR)D7213314435008086130457110.00%79149720.808816772160000112120.00%000000.5900000331
10Waltteri Merela Wolves (CAR)RW6416233917804086175541139.14%6107116.7502284200031064242.86%9800000.7302000123
11Pontus HolmbergWolves (CAR)C/LW/RW651622381816046631444011111.11%694214.5034730115000074145.54%20200000.8113000141
12Jordan SambrookWolves (CAR)D721027372190101745148154320.83%91112215.592135180220185300.00%000000.6600110212
13Josh LopinaWolves (CAR)C7215223792606492161411079.32%12111315.462681710700011185051.14%109300000.6602000203
14Collin AdamsWolves (CAR)LW59714211015534538424618.33%24898.3000003000042044.12%3400000.8611001112
15Peter HollandWolves (CAR)C/RW7071320939595538513578.24%978511.22055424202142711151.40%32100000.5103001213
16Scott HarringtonWolves (CAR)D7131720193405133349208.82%6193713.2000013000031000.00%000000.4300000111
17Ty LewisWolves (CAR)LW/RW72549-38028539423635.32%75057.0200000000001037.93%2900000.3600000000
18Trevor LewisWolves (CAR)C/LW/RW7011200214140.00%0253.6300000000020060.00%500000.7900000000
19Byron FroeseHurricanesC1000000000000.00%022.27000000000200100.00%100000.0000000000
20Carl GunnarssonHurricanesD1000000010300.00%11313.220000000000000.00%000000.0000000000
21Jordan MartinookWolves (CAR)C/LW/RW2000000021000.00%0157.9800000000080044.44%1800000.0000000000
22Kevin LynchHurricanesC1000000000000.00%000.530000000000000.00%000000.0000000000
23Valtteri FilppulaHurricanesC/LW/RW1000000000000.00%000.220000000000000.00%000000.0000000000
Team Total or Average118825045170120268870165615012454716167710.19%6052038017.167213420665923715712331813422050.19%606900020.69526437444037
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
1Ivan ProsvetovWolves (CAR)67451750.9082.6439992417619160400.84626675523
2Matthew GalajdaWolves (CAR)72300.8853.8036300232000100.0000567000
Team Total or Average74472050.9062.7443622419921160500.846267272523


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 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
Adam WilsbyWolves (CAR)D222000-08-07 14:10:25Yes183 Lbs6 ft0NoNoNo2Pro & Farm750,000$0$0$No750,000$Link / NHL Link
Alexander TrueWolves (CAR)C251997-07-17No200 Lbs6 ft5NoNoNo1Pro & Farm1,250,000$0$0$NoLink
Andreas EnglundWolves (CAR)D271996-01-21No189 Lbs6 ft3NoNoNo1Pro & Farm963,000$0$0$NoLink
Collin AdamsWolves (CAR)LW241998-04-24 15:11:54Yes172 Lbs5 ft9NoNoNo1Pro & Farm1,250,000$0$0$NoLink / NHL Link
Eetu PakkilaWolves (CAR)LW231999-10-03 14:15:21Yes167 Lbs6 ft0NoNoNo2Pro & Farm750,000$0$0$No750,000$Link / NHL Link
Ian ScottWolves (CAR)G241999-01-11Yes173 Lbs6 ft3NoNoNo2Pro & Farm750,000$0$0$No750,000$Link
Ivan ProsvetovWolves (CAR)G241999-03-05 10:34:34Yes195 Lbs6 ft5NoNoNo2Pro & Farm750,000$0$0$No750,000$Link / NHL Link
Jake LivingstoneWolves (CAR)D231999-04-16 17:58:02Yes205 Lbs6 ft3NoNoYes2Pro & Farm1,000,000$0$0$No1,000,000$
Jan JenikWolves (CAR)C/RW222000-09-15 17:14:49Yes185 Lbs6 ft1NoNoNo2Pro & Farm850,000$0$0$No850,000$Link / NHL Link
Johannes KinnvallWolves (CAR)D251997-07-28 05:07:11Yes181 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$0$0$No
Jordan MartinookWolves (CAR)C/LW/RW301992-07-25No196 Lbs6 ft0YesNoYes2Pro & Farm1,500,000$0$0$No1,500,000$Link / NHL Link
Jordan SambrookWolves (CAR)D241998-04-11 15:40:54Yes205 Lbs6 ft3NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Link
Josh LopinaWolves (CAR)C222001-02-16 17:26:31Yes195 Lbs6 ft2NoNoYes3Pro & Farm1,250,000$0$0$No1,250,000$1,250,000$Link / NHL Link
Matthew GalajdaWolves (CAR)G251997-10-07 14:35:15No183 Lbs6 ft0NoNoNo1Pro & Farm1,250,000$0$0$No
Noah CatesWolves (CAR)LW241999-02-05 17:17:41Yes165 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$Link / NHL Link
Noah GregorWolves (CAR)C/LW/RW241998-07-28 06:34:51Yes185 Lbs6 ft0NoNoNo2Pro & Farm1,250,000$0$0$No1,250,000$Link / NHL Link
Peetro Seppala Wolves (CAR)D222000-08-17 17:39:22Yes192 Lbs6 ft2NoNoYes2Pro & Farm1,000,000$0$0$No1,000,000$Link / NHL Link
Peter HollandWolves (CAR)C/RW321991-01-14No193 Lbs6 ft2NoNoYes1Pro & Farm1,100,000$0$0$NoLink
Pontus HolmbergWolves (CAR)C/LW/RW241999-03-09 14:28:07Yes174 Lbs5 ft10NoNoNo1Pro & Farm750,000$0$0$NoLink / NHL Link
Scott HarringtonWolves (CAR)D301993-03-10No207 Lbs6 ft2NoNoYes1Pro & Farm1,000,000$0$0$NoLink / NHL Link
Trevor LewisWolves (CAR)C/LW/RW361987-01-08No202 Lbs6 ft1NoNoYes1Pro & Farm1,000,000$0$0$NoLink / NHL Link
Ty LewisWolves (CAR)LW/RW251998-03-05 17:19:50Yes180 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLink / NHL Link
Waltteri Merela Wolves (CAR)RW241998-07-06 17:55:58Yes196 Lbs6 ft2NoNoYes2Pro & Farm1,000,000$0$0$No1,000,000$
Zachary JonesWolves (CAR)D222000-10-18 14:34:54Yes185 Lbs5 ft11NoNoNo2Pro & Farm850,000$0$0$No850,000$Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2425.13188 Lbs6 ft11.63990,125$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Eetu PakkilaNoah GregorJan Jenik34014
2Noah CatesAlexander TrueWaltteri Merela 34005
3Ty LewisJosh LopinaPontus Holmberg23014
4Pontus HolmbergPeter HollandJordan Martinook9023
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Zachary JonesPeetro Seppala 40032
2Adam WilsbyJake Livingstone30032
3Jordan SambrookScott Harrington20131
4Adam WilsbyJake Livingstone10032
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Noah CatesNoah GregorJan Jenik60005
2Eetu PakkilaAlexander TruePontus Holmberg40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Zachary JonesPeetro Seppala 60005
2Jake LivingstoneAdam Wilsby40005
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jordan MartinookPeter Holland60041
2Josh LopinaWaltteri Merela 40050
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake LivingstoneZachary Jones50140
2Jordan SambrookPeetro Seppala 50140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Jordan Martinook60050Peetro Seppala Zachary Jones50140
2Peter Holland40050Jake LivingstoneJordan Sambrook50140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Alexander TrueJan Jenik60014
2Noah GregorNoah Cates40014
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Peetro Seppala Jordan Sambrook60032
2Zachary JonesAdam Wilsby40032
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Noah CatesAlexander TrueNoah GregorPeetro Seppala Adam Wilsby
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Noah CatesPeter HollandJordan MartinookJake LivingstonePeetro Seppala 
Extra Forwards
Normal PowerPlayPenalty Kill
Alexander True, Noah Cates, Pontus HolmbergAlexander True, Noah CatesAlexander True
Extra Defensemen
Normal PowerPlayPenalty Kill
Adam Wilsby, Jordan Sambrook, Peetro Seppala Adam WilsbyScott Harrington, Adam Wilsby
Penalty Shots
Alexander True, Jan Jenik, Pontus Holmberg, Josh Lopina, Noah Cates
Goalie
#1 : Ivan Prosvetov, #2 : Matthew Galajda
Custom OT Lines Forwards
Noah Cates, Noah Gregor, Jan Jenik, Alexander True, Eetu Pakkila, Waltteri Merela , Waltteri Merela , Pontus Holmberg, Josh Lopina, Peter Holland, Ty Lewis
Custom OT Lines Defensemen
Adam Wilsby, Peetro Seppala , Jake Livingstone, Zachary Jones, Jordan Sambrook


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
1Admirals32000001131031000000134-122000000106450.833132134009086731193811823851589027258410440.00%10280.00%01411275551.22%1294247052.39%579116049.91%180712571637528923466
2Americans11000000707000000000001100000070721.000713200190867311428118238515834613253133.33%40100.00%01411275551.22%1294247052.39%579116049.91%180712571637528923466
3Barracuda21001000523100010002111100000031241.00059140090867311908118238515850193044800.00%80100.00%01411275551.22%1294247052.39%579116049.91%180712571637528923466
4Bears11000000734000000000001100000073421.0007132000908673113681182385158271110197457.14%40100.00%01411275551.22%1294247052.39%579116049.91%180712571637528923466
5Bruins1010000003-31010000003-30000000000000.000000009086731131811823851582231027600.00%5180.00%01411275551.22%1294247052.39%579116049.91%180712571637528923466
6Canucks11000000303000000000001100000030321.00034701908673112681182385158197626100.00%30100.00%01411275551.22%1294247052.39%579116049.91%180712571637528923466
7Comets11000000651000000000001100000065121.0006121800908673115181182385158381410254250.00%5260.00%01411275551.22%1294247052.39%579116049.91%180712571637528923466
8Condors21001000853110000005321000100032141.0008122000908673116681182385158462220538112.50%9188.89%21411275551.22%1294247052.39%579116049.91%180712571637528923466
9Eagles4400000016972200000010642200000063381.000162844009086731115681182385158102243411123730.43%15380.00%01411275551.22%1294247052.39%579116049.91%180712571637528923466
10Firebirds20100010660100000103211010000034-120.5006101600908673115681182385158501727307114.29%11372.73%01411275551.22%1294247052.39%579116049.91%180712571637528923466
11Griffins52300000171703210000012932020000058-340.400173249009086731114081182385158154567210312433.33%35780.00%01411275551.22%1294247052.39%579116049.91%180712571637528923466
12Gulls2110000078-11010000015-41100000063320.5007111800908673117181182385158591922436116.67%11554.55%01411275551.22%1294247052.39%579116049.91%180712571637528923466
13Icehogs31100100990110000006332010010036-330.50091625009086731195811823851587426246110330.00%12283.33%21411275551.22%1294247052.39%579116049.91%180712571637528923466
14Islanders21100000990110000005321010000046-220.5009162500908673116481182385158681514569222.22%7271.43%01411275551.22%1294247052.39%579116049.91%180712571637528923466
15Lions11000000633110000006330000000000021.000610160090867311448118238515833812353133.33%5260.00%01411275551.22%1294247052.39%579116049.91%180712571637528923466
16Marlies440000001578220000008262200000075281.00015274201908673111748118238515811230338120315.00%14378.57%01411275551.22%1294247052.39%579116049.91%180712571637528923466
17Monsters22000000945220000009450000000000041.0009152400908673118081182385158381712438337.50%6183.33%01411275551.22%1294247052.39%579116049.91%180712571637528923466
18Moose4210001016106210000107432110000096360.75016274300908673111458118238515812038439718633.33%18477.78%01411275551.22%1294247052.39%579116049.91%180712571637528923466
19Penguins11000000606000000000001100000060621.000612180190867311458118238515831437247228.57%50100.00%01411275551.22%1294247052.39%579116049.91%180712571637528923466
20Phantoms10001000431100010004310000000000021.0004812009086731132811823851583051022200.00%5180.00%01411275551.22%1294247052.39%579116049.91%180712571637528923466
21Reign413000001017-72020000058-32110000059-420.25010203000908673111158118238515812524411041317.69%18477.78%01411275551.22%1294247052.39%579116049.91%180712571637528923466
22Roadrunners2020000018-71010000002-21010000016-500.00012300908673116281182385158601422331000.00%6183.33%01411275551.22%1294247052.39%579116049.91%180712571637528923466
23Rocket320000011468110000006242100000184450.833142640009086731189811823851589623267012433.33%13376.92%01411275551.22%1294247052.39%579116049.91%180712571637528923466
24SKA1010000023-11010000023-10000000000000.00024600908673113181182385158174427300.00%20100.00%01411275551.22%1294247052.39%579116049.91%180712571637528923466
25Senators11000000321000000000001100000032121.0003690090867311368118238515840121018300.00%3166.67%01411275551.22%1294247052.39%579116049.91%180712571637528923466
26Silver Knights3010100169-32010100057-21000000112-130.50061117009086731189811823851589540187311218.18%9277.78%01411275551.22%1294247052.39%579116049.91%180712571637528923466
27Stars4100012015123200000208622100010076170.87515243900908673111558118238515811734248621523.81%12375.00%01411275551.22%1294247052.39%579116049.91%180712571637528923466
28Thunderbirds11000000532110000005320000000000021.0005101500908673114081182385158311410313266.67%5180.00%01411275551.22%1294247052.39%579116049.91%180712571637528923466
29Wild623010002018221100000651412010001413160.500203555009086731121781182385158191515114320630.00%22481.82%11411275551.22%1294247052.39%579116049.91%180712571637528923466
30Wolf Pack10001000321000000000001000100032121.00036900908673113981182385158391218313266.67%9188.89%01411275551.22%1294247052.39%579116049.91%180712571637528923466
31Wranglers321000001192211000007611100000043140.66711203100908673111078118238515810832288219526.32%14285.71%01411275551.22%1294247052.39%579116049.91%180712571637528923466
Total72372006243259202573517100304112597283720100320213410529990.6882594607190490867311251781182385158211662871617072907224.83%3056180.00%51411275551.22%1294247052.39%579116049.91%180712571637528923466
_Since Last GM Reset72372006243259202573517100304112597283720100320213410529990.6882594607190490867311251781182385158211662871617072907224.83%3056180.00%51411275551.22%1294247052.39%579116049.91%180712571637528923466
_Vs Conference502117042421631491424980204180719261290220183785620.6201632824450190867311168381182385158146045048711731974623.35%2134379.81%51411275551.22%1294247052.39%579116049.91%180712571637528923466
_Vs Division271480123195791612720003145331215760120050464390.722951632580090867311963811823851587852282336461153328.70%1002080.00%31411275551.22%1294247052.39%579116049.91%180712571637528923466

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
7299L125946071925172116628716170704
All Games
GPWLOTWOTL SOWSOLGFGA
7237206243259202
Home Games
GPWLOTWOTL SOWSOLGFGA
351710304112597
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3720103202134105
Last 10 Games
WLOTWOTL SOWSOL
511201
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2907224.83%3056180.00%5
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
8118238515890867311
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1411275551.22%1294247052.39%579116049.91%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
180712571637528923466


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 - 2022-10-118Wolves4Wild3AWXBoxScore
3 - 2022-10-1323Griffins4Wolves3BLBoxScore
7 - 2022-10-1747Wranglers1Wolves5BWBoxScore
8 - 2022-10-1856Wolves4Wild5ALBoxScore
11 - 2022-10-2177Reign5Wolves3BLBoxScore
13 - 2022-10-2395Wolves3Moose4ALBoxScore
15 - 2022-10-25110Stars3Wolves4BWXXBoxScore
17 - 2022-10-27125Wolves2Rocket3ALXXBoxScore
19 - 2022-10-29138Monsters2Wolves6BWBoxScore
21 - 2022-10-31152Wolves6Admirals3AWBoxScore
24 - 2022-11-03174Eagles4Wolves6BWBoxScore
27 - 2022-11-06195Moose1Wolves3BWBoxScore
30 - 2022-11-09221Griffins2Wolves4BWBoxScore
32 - 2022-11-11238Wolves1Griffins2ALBoxScore
34 - 2022-11-13249Wolves2Icehogs4ALBoxScore
36 - 2022-11-15259Firebirds2Wolves3BWXXBoxScore
38 - 2022-11-17272Wolves2Wild4ALBoxScore
40 - 2022-11-19291Wolves3Firebirds4ALBoxScore
42 - 2022-11-21301Rocket2Wolves6BWBoxScore
46 - 2022-11-25323Wolves2Reign8ALBoxScore
47 - 2022-11-26335Bruins3Wolves0BLBoxScore
50 - 2022-11-29358Griffins3Wolves5BWBoxScore
52 - 2022-12-01369Wolves6Gulls3AWBoxScore
54 - 2022-12-03384Wolves6Rocket1AWBoxScore
56 - 2022-12-05396Wolves4Wild1AWBoxScore
58 - 2022-12-07404Eagles2Wolves4BWBoxScore
61 - 2022-12-10429Wolves3Wolf Pack2AWXBoxScore
62 - 2022-12-11438Stars3Wolves4BWXXBoxScore
65 - 2022-12-14458Roadrunners2Wolves0BLBoxScore
67 - 2022-12-16476Wolves7Bears3AWBoxScore
69 - 2022-12-18492Wolves6Comets5AWBoxScore
70 - 2022-12-19501Wolves4Marlies3AWBoxScore
71 - 2022-12-20507Phantoms3Wolves4BWXBoxScore
74 - 2022-12-23532Condors3Wolves5BWBoxScore
76 - 2022-12-25551Wolves3Canucks0AWBoxScore
78 - 2022-12-27565Reign3Wolves2BLBoxScore
81 - 2022-12-30587SKA3Wolves2BLBoxScore
83 - 2023-01-01604Wolves6Penguins0AWBoxScore
85 - 2023-01-03617Barracuda1Wolves2BWXBoxScore
89 - 2023-01-07640Wolves1Roadrunners6ALBoxScore
91 - 2023-01-09655Wolves4Islanders6ALBoxScore
92 - 2023-01-10663Wild1Wolves4BWBoxScore
95 - 2023-01-13686Gulls5Wolves1BLBoxScore
98 - 2023-01-16710Wild4Wolves2BLBoxScore
100 - 2023-01-18719Wolves1Silver Knights2ALXXBoxScore
102 - 2023-01-20735Wolves3Senators2AWBoxScore
104 - 2023-01-22746Moose3Wolves4BWXXBoxScore
106 - 2023-01-24760Wolves7Americans0AWBoxScore
109 - 2023-01-27780Islanders3Wolves5BWBoxScore
111 - 2023-01-29796Wolves6Moose2AWBoxScore
113 - 2023-01-31809Wolves3Condors2AWXBoxScore
114 - 2023-02-01822Thunderbirds3Wolves5BWBoxScore
116 - 2023-02-03828Wolves4Griffins6ALBoxScore
117 - 2023-02-04843Wolves4Wranglers3AWBoxScore
119 - 2023-02-06857Wranglers5Wolves2BLBoxScore
122 - 2023-02-09874Wolves3Barracuda1AWBoxScore
124 - 2023-02-11886Lions3Wolves6BWBoxScore
126 - 2023-02-13898Wolves3Reign1AWBoxScore
129 - 2023-02-16921Marlies2Wolves3BWBoxScore
130 - 2023-02-17930Wolves4Eagles2AWBoxScore
132 - 2023-02-19949Monsters2Wolves3BWBoxScore
134 - 2023-02-21964Wolves4Admirals3AWBoxScore
137 - 2023-02-24984Marlies0Wolves5BWBoxScore
139 - 2023-02-261002Wolves2Eagles1AWBoxScore
140 - 2023-02-271012Wolves3Stars1AWBoxScore
142 - 2023-03-011019Wolves3Marlies2AWBoxScore
143 - 2023-03-021024Admirals4Wolves3BLXXBoxScore
146 - 2023-03-051046Wolves4Stars5ALXBoxScore
147 - 2023-03-061055Icehogs3Wolves6BWBoxScore
149 - 2023-03-081073Wolves1Icehogs2ALXBoxScore
151 - 2023-03-101088Silver Knights3Wolves4BWXBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2023-03-141116Silver Knights4Wolves1BLBoxScore
159 - 2023-03-181139Wolves-Bruins-
160 - 2023-03-191151Canucks-Wolves-
167 - 2023-03-261181Admirals-Wolves-
172 - 2023-03-311210Icehogs-Wolves-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price5025
Attendance68,70129,320
Attendance PCT98.14%83.77%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
3 2801 - 93.35% 148,859$5,210,063$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
4,056,216$ 2,376,300$ 2,376,300$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
13,657$ 2,149,315$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
446,577$ 16 25,726$ 411,616$




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
1Alexander True4511522494015128011531055133311.40%101964721.3931741053311101115261450.73%00.83824
2Noah Gregor426128204332458624384513929.20%62806118.923676112301101517353.60%10.821010
3Jordan Sambrook452107216323113581117542070315.22%493928220.544443873235271610100.00%10.7000
4Brendan Lemieux30412413225620320122842099612.45%40591319.453252842480002016841.79%00.8704
5Jack Dugan37385170255-815825548311487.40%70672618.0325487326000019048.16%00.7619

Wolves Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Alexandar Georgiev188888880.9033.281090740459661480840.50024
2Calvin Pickard132704040.8873.75696824043538340400.70040
3Ivan Prosvetov67451750.9082.6439992417619160400.84626
4Matthew Galajda82452670.9092.8347646422524740210.7147
5Dryden McKay51400.9371.74172005790000.0000

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
20207635340212228227012381915011201401251538161901002142145-3812825147961110195827267590888186240259470570617832886321.88%2996478.60%31501281853.26%1484288451.46%693132052.50%179612311809575984491
20207629350632126525411381516032111431311238141903110122123-178265472737308885848264986590386523256672857116262705921.85%2375278.06%21479289151.16%1385277349.95%671128052.42%180712521815561963477
20207635340212228227012381915011201401251538161901002142145-3812825147961110195827267590888186240259470570617832886321.88%2996478.60%31501281853.26%1484288451.46%693132052.50%179612311809575984491
20207629350632126525411381516032111431311238141903110122123-178265472737308885848264986590386523256672857116262705921.85%2375278.06%21479289151.16%1385277349.95%671128052.42%180712521815561963477
20217639230661125920851381715014101161021438228052011431063799259474733149590678255681485985338235269567318572755921.45%2974186.20%21421283050.21%1336267849.89%596117850.59%187813071759549963485
202272372006243259202573517100304112597283720100320213410529992594607190490867311251781182385158211662871617072907224.83%3056180.00%51411275551.22%1294247052.39%579116049.91%180712571637528923466
Total Regular Season4522041810281613101612145815422510287012101138077119622710294016627805747585161612290645189105635364724915721517152505158222147884189394310382168137522.31%167433480.05%1787921700351.71%83681646250.83%3903753851.78%10894753310647335157832890
Playoff
202127161100000796415147700000363241394000004332113279141220012922244918289293261758892472376041082220.37%1031288.35%0535104851.05%536105250.95%20842349.17%718498662214367186
Total Playoff27161100000796415147700000363241394000004332113279141220012922244918289293261758892472376041082220.37%1031288.35%0535104851.05%536105250.95%20842349.17%718498662214367186

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
1Zachary Jones27320230205135644.69%4070125.98189300001100.00%00.6600
2Liam Foudy2791322-41430768910.11%458021.4928101600003153.93%00.7600
3Mitchell Fossier27910192215528910.11%551519.084152400012046.60%00.7400
4Brandon Hagel2781119-41257506113.11%1159221.962461000001137.84%00.6400
5Matthew Kiersted2751116-23652354810.42%4167024.84347280001110.00%00.4800

Wolves Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Matthew Galajda2716920.9282.20174321648890300.0000