´╗┐

Wolves
GP: 20 | W: 19 | L: 1 | OTL: 0 | P: 38
GF: 104 | GA: 31 | PP%: 23.53% | PK%: 88.37%
GM : Alex Wyatt | Morale : 50 | Team Overall : 70
Next Games #328 vs Phantoms
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Crunch
7-14-1, 15pts
1
FINAL
5 Wolves
19-1-0, 38pts
Team Stats
OTL1StreakW8
4-7-0Home Record9-0-0
3-7-1Away Record10-1-0
2-7-1Last 10 Games9-1-0
1.865.20
2.951.55
12.50%23.53%
73.08%88.37%
Monsters
13-10-0, 26pts
3
FINAL
8 Wolves
19-1-0, 38pts
Team Stats
L3StreakW8
7-5-0Home Record9-0-0
6-5-0Away Record10-1-0
5-5-0Last 10 Games9-1-0
4.225.20
3.611.55
36.36%23.53%
78.57%88.37%
Wolves
19-1-0, 38pts
2023-11-28
Phantoms
1-20-0, 2pts
Team Stats
W8StreakL6
9-0-00-10-0
10-1-01-10-0
9-1-0Last 10 Games1-9-0
5.201.90
1.556.43
23.53%16.67%
88.37%73.08%
Islanders
15-5-0, 30pts
2023-11-30
Wolves
19-1-0, 38pts
Team Stats
W1StreakW8
11-0-09-0-0
4-5-010-1-0
7-3-0Last 10 Games9-1-0
5.155.20
3.751.55
21.43%23.53%
79.31%88.37%
Americans
14-5-3, 31pts
2023-12-02
Wolves
19-1-0, 38pts
Team Stats
W1StreakW8
7-2-19-0-0
7-3-210-1-0
4-4-2Last 10 Games9-1-0
4.095.20
3.271.55
21.62%23.53%
79.59%88.37%
Alex ChiassonGoals
Alex Chiasson
17
Jujhar KhairaAssists
Jujhar Khaira
20
Jujhar KhairaPoints
Jujhar Khaira
31
Jujhar KhairaPlus/Minus
Jujhar Khaira
28
Pheonix CopleyWins
Pheonix Copley
19
Pheonix CopleySave Percentage
Pheonix Copley
0.955

Team Stats

104
5.20 GFG
Shots For
755
37.75 Avg

23.5%
4 GF

35.8%
Goals Against
31
1.55 GAA
Shots Against
686
34.30 Avg

88.4%
5 GA

37.5%


General ManagerAlex Wyatt
Metropolitan Division
Eastern Conference
Jordie Benn
Andreas Johnsson
Jujhar Khaira




Arena Capacity5,000
Attendance5,000
5,000




31
19
50 / 55
Prospects33


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 Average
1Nicolas Deslauriers0XX100.009355867482469756406670736363630507703221,662,000$
2Ryan Donato0XX100.007253947485538662437073716868680507702731,236,000$
3Derek Ryan0XX100.00705296708449976058687178666666050760361900,000$
4Jujhar Khaira (A)0XX100.00805393708460616052677166656565050760282965,250$
5Alex Chiasson0X100.00715296718852556240707555696969050750321750,000$
6Andreas Johnsson (A)0XX100.00695394748260556342717055666666050750282792,000$
7Derek Stepan15XX100.00695197698342886060687177656565050750332750,000$
8Mark Jankowski0XX100.00705295728256595963687161656565050740282767,250$
9Justin Dowling0X100.00533881697258456365766671642540050730322750,000$
10Devin Shore0XX100.00755198708240565849686964646464050720282841,000$
11Ross Johnston0X100.008759837680385554406768556161610507202931,056,000$
12Alex Galchenyuk0XXX100.00745494678141555651666955626262050700291750,000$
13Chad Ruhwedel0X100.00765295698055566340676870656565050770332752,000$
14Kaedan Korczak (R)0X100.00775099728065556540696855676767050760221925,000$
15Jordie Benn (C)40X100.00765490708257556440676955676767050750351750,000$
16Alex Alexeyev (R)0X100.00705198678061556140686855646464050730231925,000$
17Kurtis MacDermid0XX100.00855886708135555640666866626262050720293948,000$
18Kyle Capobianco (R)0X100.00715392698050556040666955656565050720251765,000$
Scratches
1Zac Dalpe0X100.00765197678037555752697055646464050700332750,000$
2Anthony Angello0XX100.005561795353738440655764375225400506002711,010,100$
3Tye Felhaber (R)0X100.00523984546158454236586539532540050600243775,000$
4Martin Pospisil (R)0X100.00545480535558643936586441512540050580232943,500$
5Nick Caamano (R)0XX100.00525483525458643836576339512540050570241750,000$
6Alexander Pashin (R)0X100.00525484525358643765576334502540050560202826,667$
7Scott Perunovich (R)0X100.00533982607358454936686453562540050660243869,500$
8Will Butcher0X100.00526384555576884336626347532540050630282767,250$
9Reilly Walsh0X100.00526583555482954236616444532540050630241925,000$
10Albert Johansson (R)0X100.00535782525362723836576337512540050570221820,000$
11Quinn Wichers (R)0X100.00533882505158453536556332492540050550252962,000$
TEAM AVERAGE100.0067528965735564534565685560505505069
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 Average
1Pheonix Copley100.00826567838381828392908730570508503121,455,000$
2Jesper Wallstedt (R)100.0074687477777574767874762555050780202925,000$
Scratches
TEAM AVERAGE100.007867718080787880858282285605082
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Jujhar KhairaWolves (CAR)LW/RW2011203128120403553252820.75%1535517.760110121015352117.76542212011.7500000123
2Andreas JohnssonWolves (CAR)LW/RW20819272640201661223713.11%1035217.630112140229311017.6321386001.5300000123
3Alex ChiassonWolves (CAR)RW20179262220221677244522.08%335117.591124141014285017.5947479021.4800000330
4Mark JankowskiWolves (CAR)C/LW20101121192020195593618.18%1132616.331011100001272116.33220279001.2900000103
5Chad RuhwedelWolves (CAR)D20710172500232536111719.44%3140520.26000014022037010.00%0631000.8400000111
6Justin DowlingWolves (CAR)C2021416151008315125303.92%1330415.20112310000021015.20245187001.0500000001
7Ryan DonatoWolves (CAR)LW/RW5510151120283281915.63%38717.5110112000161017.511584003.4300000120
8Devin ShoreWolves (CAR)LW/RW205813120021235521439.09%525812.9300000000000012.9313328001.0100000002
9Nathan WalkerHurricanesLW15491384018194814338.33%1019412.9500000000000012.959267001.3400000010
10Zac DalpeWolves (CAR)C1567131100111329131220.69%417911.9400000000002011.94103120011.4500000110
11Kaedan KorczakWolves (CAR)D201121327402820301143.33%2442721.38000212011039000.00%01314000.6100000000
12Ross JohnstonWolves (CAR)LW2047111660351235123311.43%330015.01000110000000015.0110282000.7300000012
13Kurtis MacDermidWolves (CAR)LW/D20551016180382229112417.24%1531815.9400000000041015.9441210000.6300000100
14Alex GalchenyukWolves (CAR)C/LW/RW204591120241136182911.11%525412.7000000000161012.70129266000.7100000100
15Derek RyanWolves (CAR)C/RW526890075951222.22%78917.9100004000070017.918436001.7900000100
16Derek StepanWolves (CAR)C/RW5448110055217719.05%27915.9601102000000115.967164012.0100000110
17Matt IrwinHurricanesD13358134021342791111.11%3930223.27000110101223000.00%0222000.5300000010
18Kyle CapobiancoWolves (CAR)D2034721001814204715.00%1432016.010000000001200.00%0137000.4400000010
19Jordie BennWolves (CAR)D2015624100322921974.76%2440720.36011012000036000.00%01324000.2900000010
20Alex AlexeyevWolves (CAR)D20224270012211361015.38%1834817.4100003000010110.00%0716000.2300000000
21Scott PerunovichWolves (CAR)D2011200101000.00%03115.710000000000000.00%002000.6400000000
22Nicolas DeslauriersWolves (CAR)LW/RW501130014813140.00%16913.940000000018000.00%531000.2900000000
23Tye FelhaberWolves (CAR)LW13011860743130.00%015912.2500000000000012.25511000.1300000000
Team Total or Average35810417527936586042739075526645113.77%257592316.554610151343582430819553.24%1035363208050.9400000131715
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
1Pheonix CopleyWolves (CAR)2019100.9551.5512000231686412300.00%0200523
Team Total or Average2019100.9551.5512000231686412300.0000200523


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 Clause Trade Block Force Waivers Contract Type Current Salary Salary RemainingSalary AverageSalary Ave 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
Albert JohanssonWolves (CAR)D222001-01-04Yes185 Lbs6 ft0NoNoNo1Pro & Farm820,000$610,729$820,000$610,729$0$0$NoLink / NHL Link
Alex AlexeyevWolves (CAR)D231999-11-15Yes213 Lbs6 ft4NoNoNo1Pro & Farm925,000$688,932$925,000$688,932$0$0$NoLink / NHL Link
Alex ChiassonWolves (CAR)RW321990-10-01No208 Lbs6 ft4NoNoNo1Pro & Farm750,000$558,594$750,000$558,594$0$0$NoLink / NHL Link
Alex GalchenyukWolves (CAR)C/LW/RW291994-02-12No207 Lbs6 ft1NoNoNo1Pro & Farm750,000$558,594$750,000$558,594$0$0$NoLink / NHL Link
Alexander PashinWolves (CAR)C202002-07-28Yes154 Lbs5 ft8NoNoNo2Pro & Farm826,667$615,695$826,667$615,695$0$0$No826,667$Link / NHL Link
Andreas Johnsson (1 Way Contract)Wolves (CAR)LW/RW281994-11-21No190 Lbs5 ft10NoNoNo2Pro & Farm792,000$589,875$792,000$589,875$0$0$No792,000$Link / NHL Link
Anthony AngelloWolves (CAR)C/RW271996-03-06No210 Lbs6 ft5NoNoNo1Pro & Farm1,010,100$752,314$1,010,100$752,314$0$0$NoLink / NHL Link
Chad RuhwedelWolves (CAR)D331990-05-07No191 Lbs5 ft11NoNoNo2Pro & Farm752,000$560,083$752,000$560,083$0$0$No752,000$Link / NHL Link
Derek RyanWolves (CAR)C/RW361986-12-29No185 Lbs5 ft10NoNoNo1Pro & Farm900,000$670,312$900,000$670,312$0$0$NoLink / NHL Link
Derek StepanWolves (CAR)C/RW331990-06-18No196 Lbs5 ft11NoNoNo2Pro & Farm750,000$558,594$750,000$558,594$0$0$No750,000$Link / NHL Link
Devin ShoreWolves (CAR)LW/RW281994-07-19No206 Lbs6 ft1NoNoNo2Pro & Farm841,000$626,370$841,000$626,370$0$0$No841,000$Link / NHL Link
Jesper WallstedtWolves (CAR)G202002-11-14Yes213 Lbs6 ft3NoNoNo2Pro & Farm925,000$688,932$925,000$688,932$0$0$No925,000$Link / NHL Link
Jordie BennWolves (CAR)D351987-07-26No201 Lbs6 ft2NoNoNo1Pro & Farm750,000$558,594$750,000$558,594$0$0$NoLink / NHL Link
Jujhar KhairaWolves (CAR)LW/RW281994-08-13No212 Lbs6 ft4NoNoNo2Pro & Farm965,250$718,910$965,250$718,910$0$0$No965,250$Link / NHL Link
Justin DowlingWolves (CAR)C321990-10-01No180 Lbs5 ft10NoNoNo2Pro & Farm750,000$558,594$750,000$558,594$0$0$No750,000$Link / NHL Link
Kaedan KorczakWolves (CAR)D222001-01-29Yes202 Lbs6 ft3NoNoNo1Pro & Farm925,000$688,932$925,000$688,932$0$0$NoLink / NHL Link
Kurtis MacDermidWolves (CAR)LW/D291994-03-25No233 Lbs6 ft5NoNoNo3Pro & Farm948,000$706,062$948,000$706,062$0$0$No948,000$948,000$Link / NHL Link
Kyle CapobiancoWolves (CAR)D251997-08-13Yes201 Lbs6 ft2NoNoNo1Pro & Farm765,000$569,766$765,000$569,766$0$0$NoLink / NHL Link
Mark JankowskiWolves (CAR)C/LW281994-09-13No201 Lbs6 ft4NoNoNo2Pro & Farm767,250$571,441$767,250$571,441$0$0$No767,250$Link / NHL Link
Martin PospisilWolves (CAR)RW231999-11-19Yes173 Lbs6 ft2NoNoNo2Pro & Farm943,500$702,711$943,500$702,711$0$0$No943,500$Link / NHL Link
Nick CaamanoWolves (CAR)LW/RW241998-09-07Yes205 Lbs6 ft3NoNoNo1Pro & Farm750,000$558,594$750,000$558,594$0$0$NoLink / NHL Link
Nicolas DeslauriersWolves (CAR)LW/RW321991-02-22No220 Lbs6 ft1NoNoNo2Pro & Farm1,662,000$1,237,844$1,662,000$1,237,844$0$0$No1,662,000$Link / NHL Link
Pheonix CopleyWolves (CAR)G311992-01-18No200 Lbs6 ft4NoNoNo2Pro & Farm1,455,000$1,083,672$1,455,000$1,083,672$0$0$No1,455,000$Link / NHL Link
Quinn WichersWolves (CAR)D251997-08-19Yes216 Lbs6 ft4NoNoNo2Farm Only962,000$716,490$962,000$716,490$0$0$No962,000$Link / NHL Link
Reilly WalshWolves (CAR)D241999-04-21No185 Lbs6 ft0NoNoNo1Pro & Farm925,000$688,932$925,000$688,932$0$0$NoLink / NHL Link
Ross JohnstonWolves (CAR)LW291994-02-18No230 Lbs6 ft5NoNoNo3Pro & Farm1,056,000$786,500$1,056,000$786,500$0$0$No1,056,000$1,056,000$Link / NHL Link
Ryan Donato (1 Way Contract)Wolves (CAR)LW/RW271996-04-09No190 Lbs6 ft0NoNoNo3Pro & Farm1,236,000$920,562$1,236,000$920,562$111,000$82,672$No1,236,000$1,236,000$Link / NHL Link
Scott PerunovichWolves (CAR)D241998-08-18Yes185 Lbs5 ft10NoNoNo3Pro & Farm869,500$647,596$869,500$647,596$0$0$No869,500$869,500$Link / NHL Link
Tye FelhaberWolves (CAR)LW241998-08-05Yes185 Lbs5 ft11NoNoNo3Pro & Farm775,000$577,214$775,000$577,214$0$0$No775,000$775,000$Link / NHL Link
Will ButcherWolves (CAR)D281995-01-06No190 Lbs5 ft10NoNoNo2Pro & Farm767,250$571,441$767,250$571,441$0$0$No767,250$Link / NHL Link
Zac DalpeWolves (CAR)C331989-11-01No197 Lbs6 ft2NoNoNo2Pro & Farm750,000$558,594$750,000$558,594$0$0$No750,000$Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3127.55199 Lbs6 ft11.81905,275$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Andreas JohnssonDerek RyanAlex Chiasson30122
2Jujhar KhairaDerek StepanRyan Donato30131
3Nicolas DeslauriersMark JankowskiDevin Shore20230
4Ross JohnstonJustin DowlingAlex Galchenyuk20122
5 vs 5 Defence
Line #DefenceDefenceTime %PHYDFOF
1Chad RuhwedelKaedan Korczak30113
2Jordie BennAlex Alexeyev30131
3Kurtis MacDermidKyle Capobianco20131
4Chad RuhwedelKaedan Korczak20131
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Andreas JohnssonDerek RyanAlex Chiasson50005
2Jujhar KhairaDerek StepanRyan Donato50005
Power Play Defence
Line #DefenceDefenceTime %PHYDFOF
1Chad RuhwedelKaedan Korczak50122
2Jordie BennAlex Alexeyev50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Ryan DonatoNicolas Deslauriers50140
2Derek RyanJujhar Khaira50140
Penalty Kill 4 Players Defence
Line #DefenceDefenceTime %PHYDFOF
1Chad RuhwedelKaedan Korczak50140
2Jordie BennAlex Alexeyev50140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenceDefenceTime %PHYDFOF
1Ryan Donato50140Chad RuhwedelKaedan Korczak50140
2Nicolas Deslauriers50140Jordie BennAlex Alexeyev50140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Ryan DonatoNicolas Deslauriers50122
2Derek RyanJujhar Khaira50122
4 vs 4 Defence
Line #DefenceDefenceTime %PHYDFOF
1Chad RuhwedelKaedan Korczak50131
2Jordie BennAlex Alexeyev50131
Last Minute Offensive
Left WingCenterRight WingDefenceDefence
Ryan DonatoDerek RyanNicolas DeslauriersChad RuhwedelKaedan Korczak
Last Minute Defensive
Left WingCenterRight WingDefenceDefence
Ryan DonatoDerek RyanNicolas DeslauriersChad RuhwedelKaedan Korczak
Extra Forwards
Normal PowerPlayPenalty Kill
Andreas Johnsson, Mark Jankowski, Justin DowlingAndreas Johnsson, Mark JankowskiJustin Dowling
Extra Defencemen
Normal PowerPlayPenalty Kill
Kurtis MacDermid, Kyle Capobianco, Jordie BennKurtis MacDermidKyle Capobianco, Jordie Benn
Penalty Shots
Ryan Donato, Nicolas Deslauriers, Derek Ryan, Jujhar Khaira, Alex Chiasson
Goalie
#1 : Pheonix Copley, #2 : Jesper Wallstedt
Custom OT Lines Forwards
Ryan Donato, Nicolas Deslauriers, Derek Ryan, Jujhar Khaira, Alex Chiasson, Andreas Johnsson, Andreas Johnsson, Derek Stepan, Mark Jankowski, Justin Dowling, Devin Shore
Custom OT Lines Defencemen
Chad Ruhwedel, Kaedan Korczak, Jordie Benn, Alex Alexeyev, Kurtis MacDermid


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
1Americans11000000633110000006330000000000021.0006915004725311322512322711402061711100.00%30100.00%019637052.97%20838853.61%14727653.26%483321400153316160
2Barracuda220000001129110000006151100000051441.0001119300047253116925123227117128640100.00%30100.00%019637052.97%20838853.61%14727653.26%483321400153316160
3Checkers10001000541000000000001000100054121.0005914004725311382512322711298416000.00%20100.00%019637052.97%20838853.61%14727653.26%483321400153316160
4Condors11000000734110000007340000000000021.00071118004725311342512322711409616200.00%3166.67%019637052.97%20838853.61%14727653.26%483321400153316160
5Crunch330000001129110000005142200000061561.000112132014725311119251232271198401263300.00%60100.00%019637052.97%20838853.61%14727653.26%483321400153316160
6Eagles11000000523000000000001100000052321.00059140047253113425123227113512222000.00%10100.00%019637052.97%20838853.61%14727653.26%483321400153316160
7Firebirds22000000927110000006151100000031241.000915240047253117925123227116442840300.00%40100.00%019637052.97%20838853.61%14727653.26%483321400153316160
8Gulls11000000514000000000001100000051421.000581300472531139251232271139128202150.00%4175.00%019637052.97%20838853.61%14727653.26%483321400153316160
9Islanders1010000013-2000000000001010000013-200.0001230047253112725123227113415621100.00%30100.00%019637052.97%20838853.61%14727653.26%483321400153316160
10Monsters11000000835110000008350000000000021.00081523004725311372512322711403628000.00%30100.00%019637052.97%20838853.61%14727653.26%483321400153316160
11Penguins11000000615110000006150000000000021.00061016004725311432512322711328222000.00%110.00%019637052.97%20838853.61%14727653.26%483321400153316160
12Phantoms2200000012111110000008171100000040441.00012213301472531181251232271153188533266.67%4175.00%119637052.97%20838853.61%14727653.26%483321400153316160
13Reign11000000523000000000001100000052321.00058130047253114925123227113715619100.00%3166.67%119637052.97%20838853.61%14727653.26%483321400153316160
14Senators11000000716110000007160000000000021.000710170047253113625123227113313422000.00%20100.00%019637052.97%20838853.61%14727653.26%483321400153316160
15Wolf Pack11000000615000000000001100000061521.00068140047253113825123227114114228000.00%10100.00%119637052.97%20838853.61%14727653.26%483321400153316160
Total2018101000104317399000000591544119101000451629380.95010417527902472531175525123227116862578642717423.53%43588.37%319637052.97%20838853.61%14727653.26%483321400153316160
_Since Last GM Reset2018101000104317399000000591544119101000451629380.95010417527902472531175525123227116862578642717423.53%43588.37%319637052.97%20838853.61%14727653.26%483321400153316160
_Vs Conference1210101000621943660000004010306410100022913220.917621051670247253114512512322711400139502708337.50%25292.00%219637052.97%20838853.61%14727653.26%483321400153316160
_Vs Division65100000339243300000022517321000001147100.833335689014725311226251232271120058241524250.00%12283.33%219637052.97%20838853.61%14727653.26%483321400153316160

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2038W81041752797556862578642702
All Games
GPWLOTWOTL SOWSOLGFGA
20181100010431
Home Games
GPWLOTWOTL SOWSOLGFGA
99000005915
Visitor Games
GPWLOTWOTL SOWSOLGFGA
119110004516
Last 10 Games
WLOTWOTL SOWSOL
910000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
17423.53%43588.37%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
25123227114725311
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
19637052.97%20838853.61%14727653.26%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
483321400153316160


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 Visiting Team Score Home Team Score ST OT SO RI Link
2 - 2023-10-114Senators1Wolves7BWBoxScore
5 - 2023-10-1432Wolves5Reign2AWBoxScore
6 - 2023-10-1534Wolves5Gulls1AWBoxScore
8 - 2023-10-1747Wolves5Barracuda1AWBoxScore
10 - 2023-10-1960Wolves3Firebirds1AWBoxScore
12 - 2023-10-2176Wolves5Eagles2AWBoxScore
15 - 2023-10-2486Wolves3Crunch0AWBoxScore
17 - 2023-10-26101Firebirds1Wolves6BWBoxScore
18 - 2023-10-27112Barracuda1Wolves6BWBoxScore
21 - 2023-10-30131Wolves4Phantoms0AWBoxScore
24 - 2023-11-02148Wolves6Wolf Pack1AWBoxScore
26 - 2023-11-04167Wolves1Islanders3ALBoxScore
29 - 2023-11-07180Americans3Wolves6BWBoxScore
32 - 2023-11-10205Wolves5Checkers4AWXBoxScore
33 - 2023-11-11214Wolves3Crunch1AWBoxScore
37 - 2023-11-15238Phantoms1Wolves8BWBoxScore
40 - 2023-11-18261Penguins1Wolves6BWBoxScore
44 - 2023-11-22279Condors3Wolves7BWBoxScore
46 - 2023-11-24303Crunch1Wolves5BWBoxScore
48 - 2023-11-26318Monsters3Wolves8BWBoxScore
50 - 2023-11-28328Wolves-Phantoms-
52 - 2023-11-30341Islanders-Wolves-
54 - 2023-12-02360Americans-Wolves-
56 - 2023-12-04376Wolves-Moose-
58 - 2023-12-06391Wolves-Condors-
59 - 2023-12-07401Wolves-Wranglers-
61 - 2023-12-09419Wolves-Canucks-
64 - 2023-12-12433Wolves-Senators-
66 - 2023-12-14447Wolves-Griffins-
67 - 2023-12-15455Admirals-Wolves-
69 - 2023-12-17475Bears-Wolves-
71 - 2023-12-19486Silver Knights-Wolves-
73 - 2023-12-21503Wolves-Penguins-
75 - 2023-12-23517Islanders-Wolves-
79 - 2023-12-27535Wolves-Admirals-
80 - 2023-12-28542Rocket-Wolves-
82 - 2023-12-30561Wolves-Marlies-
85 - 2024-01-02575Wolves-Wolf Pack-
88 - 2024-01-05603Wolves-Bears-
89 - 2024-01-06609Thunderbirds-Wolves-
94 - 2024-01-11639Gulls-Wolves-
96 - 2024-01-13658Penguins-Wolves-
98 - 2024-01-15675Reign-Wolves-
102 - 2024-01-19702Griffins-Wolves-
104 - 2024-01-21719Wild-Wolves-
107 - 2024-01-24741Wolves-Bruins-
108 - 2024-01-25746Comets-Wolves-
110 - 2024-01-27764Roadrunners-Wolves-
120 - 2024-02-06785Canucks-Wolves-
122 - 2024-02-08799Eagles-Wolves-
124 - 2024-02-10811Comets-Wolves-
127 - 2024-02-13830Wolves-Stars-
130 - 2024-02-16849Wolves-Roadrunners-
131 - 2024-02-17862Wolves-Silver Knights-
133 - 2024-02-19874IceHogs-Wolves-
136 - 2024-02-22889Checkers-Wolves-
138 - 2024-02-24909Stars-Wolves-
139 - 2024-02-25920Wolves-Americans-
141 - 2024-02-27932Wolves-Wild-
143 - 2024-02-29942Wolves-Monsters-
145 - 2024-03-02956Moose-Wolves-
150 - 2024-03-07994Rocket-Wolves-
Trade Deadline --- Trades cannot be done after this date
152 - 2024-03-091011Wolves-Comets-
153 - 2024-03-101024Wranglers-Wolves-
155 - 2024-03-121032Wolf Pack-Wolves-
157 - 2024-03-141046Checkers-Wolves-
159 - 2024-03-161067Wolves-Marlies-
160 - 2024-03-171077Wolves-Senators-
162 - 2024-03-191087Wolves-Islanders-
164 - 2024-03-211099Phantoms-Wolves-
165 - 2024-03-221109Wolves-Bears-
167 - 2024-03-241127Marlies-Wolves-
169 - 2024-03-261138Wolves-Penguins-
171 - 2024-03-281150Griffins-Wolves-
173 - 2024-03-301173Wolves-Rocket-
178 - 2024-04-041202Bruins-Wolves-
179 - 2024-04-051212Bears-Wolves-
181 - 2024-04-071230Monsters-Wolves-
183 - 2024-04-091239Wolves-Bruins-
186 - 2024-04-121265Wolves-Thunderbirds-
188 - 2024-04-141285Wolves-IceHogs-
190 - 2024-04-161296Wolves-Monsters-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity35001500
Ticket Price5025
Attendance31,50013,500
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
32 5000 - 100.00% 108,375$975,375$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
6,321,190$ 26,035,518$ 26,035,518$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
135,602$ 6,321,190$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
3,468,000$ 143 135,602$ 19,391,086$




Wolves

# 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
1Janne Kuokkanen1641531773301872225427555627.52%149360121.96223052746172212750.50%191.8305
2Peyton Krebs16410418929317614823614343923.69%68296018.058263448011415155.17%61.9803
3Mikhail Grigorenko821331222551558818633140.18%47164820.1021204150112220525.61%183.0902
4Nick Caamano1641101432531605823516542226.07%65283717.3015722434151113226.98%111.7800
5Anthony Angello164751161911594014219335920.89%41286717.497152239011314238.45%61.3300

Wolves

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Ville Husso82651520.8763.304926016271218211331601.0006
2Kirill Ustimenko82502380.9122.91492817123927071468600.72218
3Pheonix Copley2019100.9551.5512000231686412300.0000
4Michael Hutchinson11000.8336.6718002129000.0000

Wolves

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
2021826215012205522712814132800100312135177413070112024013610413255289714490160189173187205405916548032182834170410451967136.22%2124678.30%14526111047.39%691147246.94%646143045.17%1711112220076171213607
20228246230461230624363412990210016510857411714025121411356110306535841011068610972665935828880402719101933116721543220.78%1583677.22%2624129648.15%754160746.92%538108949.40%1787110817996691362683
202320181010001043173990000005915441191010004516293810417527902472531175525123227116862578642717423.53%43588.37%319637052.97%20838853.61%14727653.26%483321400153316160
Total Regular Season18412639068329625454179170170220053625827893562204632426287139280962160725690191533003131955474118616511805844558721102121314436710729.16%4138778.93%191346277648.49%1653346747.68%1331279547.62%398225524207144028921451
Playoff
2021404000002457-33202000001435-21202000001022-1202439630001428118043215412040805113323.08%10640.00%1357149.30%154235.71%5311546.09%966679296429
2022514000001622-631200000811-320200000811-32162743006640157575644017073149910110.00%7357.14%0196927.54%4410143.56%256637.88%9457122428240
Total Playoff918000004079-39514000002246-24404000001833-15240661060062068275579965542901139415023417.39%17947.06%15414038.57%5914341.26%7818143.09%1911232027214669

Wolves

# 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
1Janne Kuokkanen913821-15019195324.53%520522.832131001101041.30%22.0400
2Mikhail Grigorenko441115-1101081428.57%68320.9412310000000.00%03.5800
3Peyton Krebs94711-9264121428.57%616017.79000000000060.29%11.3700
4Nick Caamano93710-1001611348.82%715717.48000300000021.43%01.2700
5Martin Pospisil9257-1026911287.14%615116.78000000000037.50%00.9300

Wolves

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Kirill Ustimenko51400.8714.42299002217092000.0000
2Veini Vehvilainen40100.21620.96830029376000.0000