´╗┐
Out of Date Version of the STHS! Please update your version!
Login

Wolves
GP: 82 | W: 54 | L: 27 | OTL: 1 | P: 109
GF: 385 | GA: 219 | PP%: 21.71% | PK%: 83.27%
GM : James | Morale : 50 | Team Overall : 61
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Wolves
54-27-1, 109pts
5
FINAL
4 Wolf Pack
24-56-2, 50pts
Team Stats
L1StreakSOL1
30-11-0Home Record14-27-0
24-16-1Away Record10-29-2
4-6-0Last 10 Games4-5-1
4.70Goals Per Game2.90
2.67Goals Against Per Game5.34
21.71%Power Play Percentage13.43%
83.27%Penalty Kill Percentage81.27%
Reign
46-35-1, 93pts
6
FINAL
2 Wolves
54-27-1, 109pts
Team Stats
W1StreakL1
22-18-1Home Record30-11-0
24-17-0Away Record24-16-1
6-4-0Last 10 Games4-6-0
4.46Goals Per Game4.70
2.88Goals Against Per Game2.67
16.25%Power Play Percentage21.71%
81.51%Penalty Kill Percentage83.27%
Team Leaders
Martin KautGoals
Martin Kaut
62
Assists
Nolan Patrick
44
Martin KautPoints
Martin Kaut
104
Lias AnderssonPlus/Minus
Lias Andersson
54
Wins
Ken Appleby
41
Save Percentage
Ken Appleby
0.876

Team Stats
Goals For
385
4.70 GFG
Shots For
2319
28.28 Avg
Power Play Percentage
21.7%
66 GF
Offensive Zone Start
40.3%
Goals Against
219
2.67 GAA
Shots Against
1706
20.80 Avg
Penalty Kill Percentage
83.3%%
44 GA
Defensive Zone Start
33.7%
Team Info

General ManagerJames
CoachKirk Muller
DivisionCentral Division
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,911
Season Tickets0


Roster Info

Pro Team14
Farm Team19
Contract Limit33 / 50
Prospects42


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
1Nolan PatrickX100.007544917973596472726558642554546550640241800,000$
2Martin KautX100.0072678380676364625053666363454565506102311,319,167$
3Lias AnderssonXX100.007744827871575959485557607557576150600241800,000$
4Aleksi Heponiemi (R)XX100.006557857257636462506356595345456150590243750,000$
5Vitaly Kravtsov (R)X100.0063429365716260602560596325454561505802321,775,000$
6Shane Bowers (R)X100.007670896670545552654456625344445850560233750,000$
7Jordan Spence (R)X100.007843978059796274255949732546466450660223919,167$
8Gustav Lindstrom (R)X100.007343897572697059255447782555556150660241925,000$
9Juuso Valimaki (R)X100.007344707578697258255647772550506150650242900,000$
10Calen Addison (R)X100.007142958166637276255054642545466350630233910,833$
11Nils Lundkvist (R)X100.0067429976666458642550486625464659506102231,775,000$
12Pierre-Olivier Joseph (R)X100.0073707972707378572549516248454560506102321,075,833$
13Josh Brook (R)X100.007171726971677152254941603944445450590232910,833$
14Tyler Tucker (R)X100.007176586376636748254040593844445050560233808,333$
Scratches
TEAM AVERAGE100.00725484746965656136535265394848605061
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
Scratches
TEAM AVERAGE0.000000000000000000
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Kirk Muller70696566837765CAN562700,000$


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
1Liam FoudyGolden KnightsC/LW/RW7352591115751151411102976623917.51%26145619.9581220332030110706062.32%6900031.52002011067
2Martin KautWolves (VGK)RW826242104457125145963449024918.02%22154618.86915245022600023212267.95%7800051.34001131185
3Lias AnderssonWolves (VGK)C/LW7433437654655122631504913722.00%16130117.59459221751011455063.46%10400011.1700001342
4Dawson MercerGolden KnightsC/RW36304474410011851604511318.75%981522.6751116159400051205167.86%80900021.81000001033
5Aleksi HeponiemiWolves (VGK)C/RW8234377133541076712075512016.43%21130515.925712251370002123161.70%9400021.0900011345
6Nolan PatrickWolves (VGK)C6421446537295591151473010814.29%6105016.4105512961121723173.63%89100001.2401001342
7Vitaly KravtsovWolves (VGK)RW823428623912040541875112318.18%16120214.67145636000024047.44%7800001.0300000107
8Morgan GeekieGolden KnightsC592536613714061871403910817.86%797116.463589571013862173.90%65900021.2611000431
9Jamie DrysdaleGolden KnightsD3913425534320443248173327.08%3383321.38981727102011095100.00%000001.3200000233
10Juuso ValimakiWolves (VGK)D5615395433380903172172320.83%49102118.2481220371360001118600.00%000001.0600000253
11Calen AddisonWolves (VGK)D825414637395884048234210.42%3296111.72033529000023100.00%000000.9600100021
12Jordan SpenceWolves (VGK)D469283722260474057224015.79%3584818.446713341200001100110.00%000000.8700000303
13Shane BowersWolves (VGK)C58211132282407649127358916.54%1865311.2600003000002073.04%20400010.9800000133
14Gustav LindstromWolves (VGK)D39427313126067324725448.51%4682121.0722431117000096200.00%000000.7500000004
15Milan LucicGolden KnightsLW311017273045596164264523.81%264420.801233910002750172.50%4000000.8411001153
16Nils LundkvistWolves (VGK)D82125263020064282616303.85%3794811.5700004011046000.00%000000.5500000000
17Pierre-Olivier JosephWolves (VGK)D82815231624076203281825.00%216427.842133210000410066.67%300000.7200000121
18Josh BrookWolves (VGK)D82111121324048131081010.00%184946.03000020001900100.00%100000.4900000000
Team Total or Average11493785899676175947013519822141602157117.66%4141752015.256399162312165834719105053870.30%3030000161.1023428555253
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
1Ken ApplebyGolden Knights55411400.8762.2531530101189540510.7504550001
2Alex StalockGolden Knights31121010.8733.17149422796210400.00%02577010
Team Total or Average86532410.8752.544647212197157509148077011


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
Aleksi HeponiemiWolves (VGK)C/RW241999-01-08Yes155 Lbs5 ft10NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Link / NHL Link
Calen AddisonWolves (VGK)D232000-04-10Yes180 Lbs5 ft11NoNoNo3Pro & Farm910,833$0$0$No910,833$910,833$Link
Gustav LindstromWolves (VGK)D241998-10-20Yes190 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$NoLink / NHL Link
Jordan SpenceWolves (VGK)D222001-02-24Yes163 Lbs5 ft10NoNoNo3Pro & Farm919,167$0$0$No919,167$919,167$Link
Josh BrookWolves (VGK)D231999-06-17Yes192 Lbs6 ft1NoNoNo2Pro & Farm910,833$0$0$No910,833$Link / NHL Link
Juuso ValimakiWolves (VGK)D241998-10-06Yes212 Lbs6 ft2NoNoNo2Pro & Farm900,000$0$0$No900,000$Link
Lias AnderssonWolves (VGK)C/LW241998-10-13No190 Lbs6 ft1NoNoNo1Pro & Farm800,000$0$0$NoLink / NHL Link
Martin KautWolves (VGK)RW231999-10-02No176 Lbs6 ft2NoNoNo1Pro & Farm1,319,167$0$0$NoLink / NHL Link
Nils LundkvistWolves (VGK)D222000-07-27Yes187 Lbs5 ft10NoNoNo3Pro & Farm1,775,000$0$0$No1,775,000$1,775,000$Link
Nolan PatrickWolves (VGK)C241998-09-19No198 Lbs6 ft2NoNoNo1Pro & Farm800,000$0$0$NoLink
Pierre-Olivier JosephWolves (VGK)D231999-07-01Yes185 Lbs6 ft2NoNoNo2Pro & Farm1,075,833$0$0$No1,075,833$Link / NHL Link
Shane BowersWolves (VGK)C231999-07-30Yes186 Lbs6 ft2NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Link / NHL Link
Tyler TuckerWolves (VGK)D232000-03-01Yes205 Lbs6 ft2NoNoNo3Pro & Farm808,333$0$0$No808,333$808,333$Link
Vitaly KravtsovWolves (VGK)RW231999-12-23Yes189 Lbs6 ft3NoNoNo2Pro & Farm1,775,000$0$0$No1,775,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1423.21186 Lbs6 ft12.141,029,940$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Martin Kaut40122
2Aleksi Heponiemi30122
3Shane BowersVitaly Kravtsov20122
4Shane Bowers10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
3Calen AddisonNils Lundkvist20122
4Pierre-Olivier JosephJosh Brook10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Martin Kaut60122
2Aleksi Heponiemi40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Martin Kaut
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Martin Kaut
Extra Forwards
Normal PowerPlayPenalty Kill
Vitaly Kravtsov, Martin Kaut, Vitaly Kravtsov, Martin Kaut
Extra Defensemen
Normal PowerPlayPenalty Kill
Calen Addison, Nils Lundkvist, Pierre-Olivier JosephCalen AddisonNils Lundkvist, Pierre-Olivier Joseph
Penalty Shots
, , , , Martin Kaut
Goalie
#1 : , #2 :
Custom OT Lines Forwards
, , , , Martin Kaut, , , Aleksi Heponiemi, Vitaly Kravtsov, Shane Bowers,
Custom OT Lines Defensemen
, , , , Calen Addison


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
1 Americans440000002171422000000133102200000084481.0002136570015212810429075177678977825356414321.43%15193.33%21129199656.56%844166950.57%711128255.46%254119921517441869489
2Admirals4400000015782200000042222000000115681.00015264101152128104212775177678977220468110440.00%14192.86%01129199656.56%844166950.57%711128255.46%254119921517441869489
3Barracudas2200000016313110000007161100000092741.000162743001521281042897517767897286164822100.00%70100.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
4Bears220000001501511000000100101100000050541.000152742021521281042707517767897235443200.00%20100.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
5Bruins220000001147110000005231100000062441.00011193000152128104247751776789734810319333.33%50100.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
6Canucks220000001082110000004311100000065141.0001016260015212810424475177678974422223710110.00%10190.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
7Checkers21100000862110000005051010000036-320.50081422011521281042457517767897652210315360.00%5180.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
8Comets220000001376110000006331100000074341.000132336001521281042437517767897368102410660.00%30100.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
9Condors2110000023-1110000001011010000013-220.500235011521281042407517767897391718347114.29%80100.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
10Crunch31200000811-31010000035-22110000056-120.33381523001521281042517517767897501825471317.69%10370.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
11Eagles21100000911-2110000007431010000027-520.50091827001521281042527517767897351120285360.00%10460.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
12Firebirds44000000388302200000021318220000001751281.00038651030115212810421827517767897641828926233.33%14285.71%01129199656.56%844166950.57%711128255.46%254119921517441869489
13Griffins2020000057-21010000023-11010000034-100.0005813001521281042277517767897461314251815.56%70100.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
14Gulls30300000918-91010000048-420200000510-500.000915240015212810429975177678971183712668112.50%6350.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
15Heat20000110550100000104311000010012-130.75057120015212810423975177678975521183013215.38%80100.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
16IceHogs4310000018810220000009362110000095460.75018345200152128104210675177678977229378510440.00%10280.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
17Marlies20200000310-71010000034-11010000006-600.0003690015212810422675177678974819262410110.00%12283.33%01129199656.56%844166950.57%711128255.46%254119921517441869489
18Monsters2110000034-1110000002021010000014-320.50035801152128104239751776789723730331317.69%9188.89%01129199656.56%844166950.57%711128255.46%254119921517441869489
19Moose40400000612-62020000047-32020000025-300.00068140015212810427675177678971112745801500.00%20575.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
20Penguins2110000067-11010000025-31100000042220.5006111700152128104259751776789758812428112.50%5180.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
21Phantoms31200000913-420200000512-71100000041320.333914230015212810425975177678976420203918211.11%7271.43%01129199656.56%844166950.57%711128255.46%254119921517441869489
22Rampage 440000002732422000000201192200000072581.00027437001152128104220675177678973815108513430.77%50100.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
23Reign20200000510-51010000026-41010000034-100.0005611001521281042477517767897671416324125.00%8362.50%01129199656.56%844166950.57%711128255.46%254119921517441869489
24Roadrunners330000002332022000000182161100000051461.000234467011521281042116751776789734111653400.00%70100.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
25Rocket21100000880110000005141010000037-420.500816240015212810423975177678976217243411327.27%12283.33%01129199656.56%844166950.57%711128255.46%254119921517441869489
26Senators220000001064110000005411100000052341.000101323001521281042347517767897401212319555.56%6350.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
27Sound Tigers2200000017215110000008171100000091841.000172542001521281042757517767897301114377114.29%7185.71%01129199656.56%844166950.57%711128255.46%254119921517441869489
28Stars44000000311302200000014113220000001701781.0003155860315212810421847517767897611134787228.57%70100.00%11129199656.56%844166950.57%711128255.46%254119921517441869489
29Thunderbirds21100000660110000003211010000034-120.500611170015212810424875177678975715142313215.38%7185.71%01129199656.56%844166950.57%711128255.46%254119921517441869489
30Wild431000002113822000000116521100000107360.750214061001521281042110751776789711234368216425.00%12375.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
31Wolf Pack2110000078-11010000024-21100000054120.500711181015212810425075177678974212103514214.29%5260.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
Total82532700110385219166412911000102099911041241600100176120561090.6653856611046112152128104223197517767897170651364414743046621.71%2634483.27%31129199656.56%844166950.57%711128255.46%254119921517441869489
_Since Last GM Reset82532700110385219166412911000102099911041241600100176120561090.6653856611046112152128104223197517767897170651364414743046621.71%2634483.27%31129199656.56%844166950.57%711128255.46%254119921517441869489
_Vs Conference483313001102461121342419400010139508924149001001076245690.719246427673081521281042156375177678979842963879381343324.63%1512484.11%31129199656.56%844166950.57%711128255.46%254119921517441869489
_Vs Division2926600000150589215142000008726611412400000633231520.8971502684180615212810429777517767897535158244572802126.25%851582.35%11129199656.56%844166950.57%711128255.46%254119921517441869489

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
82109L13856611046231917065136441474112
All Games
GPWLOTWOTL SOWSOLGFGA
8253270110385219
Home Games
GPWLOTWOTL SOWSOLGFGA
412911001020999
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4124160100176120
Last 10 Games
WLOTWOTL SOWSOL
460000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3046621.71%2634483.27%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
75177678971521281042
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1129199656.56%844166950.57%711128255.46%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
254119921517441869489


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
2 - 2023-03-2316Wolves2Admirals1AWBoxScore
3 - 2023-03-2428Admirals0Wolves1BWBoxScore
6 - 2023-03-2748Roadrunners2Wolves10BWBoxScore
8 - 2023-03-2967Wolves3Crunch2AWBoxScore
9 - 2023-03-3077Wolves4 Americans2AWBoxScore
11 - 2023-04-0188Rampage 0Wolves9BWBoxScore
13 - 2023-04-03107Wolves2IceHogs4ALBoxScore
15 - 2023-04-05123Wolves4Rampage 1AWBoxScore
16 - 2023-04-06128IceHogs2Wolves6BWBoxScore
18 - 2023-04-08151Phantoms5Wolves1BLBoxScore
20 - 2023-04-10167Wolves1Moose2ALBoxScore
21 - 2023-04-11179Wolves7Wild3AWBoxScore
22 - 2023-04-12192Firebirds3Wolves11BWBoxScore
25 - 2023-04-15213Wolves6Firebirds1AWBoxScore
27 - 2023-04-17224 Americans1Wolves5BWBoxScore
30 - 2023-04-20245Wolves6Stars0AWBoxScore
31 - 2023-04-21254Wild3Wolves5BWBoxScore
34 - 2023-04-24282Wolves1Monsters4ALBoxScore
35 - 2023-04-25288Heat3Wolves4BWXXBoxScore
38 - 2023-04-28314Sound Tigers1Wolves8BWBoxScore
39 - 2023-04-29321Wolves4 Americans2AWBoxScore
41 - 2023-05-01336Wolves1Moose3ALBoxScore
42 - 2023-05-02348Monsters0Wolves2BWBoxScore
44 - 2023-05-04365Wolves5Bears0AWBoxScore
46 - 2023-05-06380Roadrunners0Wolves8BWBoxScore
49 - 2023-05-09403Condors0Wolves1BWBoxScore
52 - 2023-05-12427Eagles4Wolves7BWBoxScore
53 - 2023-05-13436Wolves4Penguins2AWBoxScore
56 - 2023-05-16458Wolves6Bruins2AWBoxScore
57 - 2023-05-17469Wolves3Reign4ALBoxScore
58 - 2023-05-18478Marlies4Wolves3BLBoxScore
61 - 2023-05-21501Phantoms7Wolves4BLBoxScore
63 - 2023-05-23519Wolves1Heat2ALXBoxScore
65 - 2023-05-25532Admirals2Wolves3BWBoxScore
67 - 2023-05-27549Wolves3Rampage 1AWBoxScore
69 - 2023-05-29563Bruins2Wolves5BWBoxScore
71 - 2023-05-31585Wolves2Crunch4ALBoxScore
73 - 2023-06-02598Griffins3Wolves2BLBoxScore
75 - 2023-06-04611Wolves3Wild4ALBoxScore
76 - 2023-06-05626Crunch5Wolves3BLBoxScore
79 - 2023-06-08648Wolves5Roadrunners1AWBoxScore
80 - 2023-06-09659Stars1Wolves8BWBoxScore
82 - 2023-06-11677Wolves3Rocket7ALBoxScore
84 - 2023-06-13688Wolves2Eagles7ALBoxScore
85 - 2023-06-14700IceHogs1Wolves3BWBoxScore
88 - 2023-06-17723Bears0Wolves10BWBoxScore
90 - 2023-06-19737Wolves0Marlies6ALBoxScore
92 - 2023-06-21753Firebirds0Wolves10BWBoxScore
94 - 2023-06-23766Wolves5Senators2AWBoxScore
96 - 2023-06-25782Wolves3Thunderbirds4ALBoxScore
98 - 2023-06-27792 Americans2Wolves8BWBoxScore
100 - 2023-06-29812Wolves9Barracudas2AWBoxScore
102 - 2023-07-01825Wild3Wolves6BWBoxScore
104 - 2023-07-03842Wolves7IceHogs1AWBoxScore
106 - 2023-07-05856Wolves11Stars0AWBoxScore
107 - 2023-07-06863Rocket1Wolves5BWBoxScore
110 - 2023-07-09889Stars0Wolves6BWBoxScore
113 - 2023-07-12911Wolves7Comets4AWBoxScore
114 - 2023-07-13923Canucks3Wolves4BWBoxScore
117 - 2023-07-16943Wolves6Canucks5AWBoxScore
118 - 2023-07-17951Wolves4Phantoms1AWBoxScore
119 - 2023-07-18958Comets3Wolves6BWBoxScore
122 - 2023-07-21984Penguins5Wolves2BLBoxScore
126 - 2023-07-251012Checkers0Wolves5BWBoxScore
128 - 2023-07-271031Wolves9Sound Tigers1AWBoxScore
130 - 2023-07-291043Moose4Wolves3BLBoxScore
132 - 2023-07-311067Barracudas1Wolves7BWBoxScore
134 - 2023-08-021079Wolves11Firebirds4AWBoxScore
136 - 2023-08-041098Wolves3Griffins4ALBoxScore
137 - 2023-08-051109Wolf Pack4Wolves2BLBoxScore
140 - 2023-08-081129Wolves9Admirals4AWBoxScore
141 - 2023-08-091140Wolves1Condors3ALBoxScore
142 - 2023-08-101146Rampage 1Wolves11BWBoxScore
145 - 2023-08-131172Senators4Wolves5BWBoxScore
148 - 2023-08-161197Gulls8Wolves4BLBoxScore
149 - 2023-08-171209Wolves3Gulls6ALBoxScore
152 - 2023-08-201229Thunderbirds2Wolves3BWBoxScore
153 - 2023-08-211235Wolves3Checkers6ALBoxScore
157 - 2023-08-251259Moose3Wolves1BLBoxScore
158 - 2023-08-261266Wolves2Gulls4ALBoxScore
162 - 2023-08-301293Wolves5Wolf Pack4AWBoxScore
165 - 2023-09-021312Reign6Wolves2BLBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price400
Attendance80,66838,675
Attendance PCT98.38%94.33%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2911 - 97.03% 78,700$3,226,720$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,583,261$ 1,441,916$ 1,441,916$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
8,686$ 1,883,262$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 12,903$ 0$




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