Wolves
GP: 9 | W: 8 | L: 1
GF: 43 | GA: 22 | PP%: 33.33% | PK%: 86.36%
DG: Alex Wyatt | Morale : 50 | Moyenne d'Équipe : 70
Prochain matchs #85 vs Griffins
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Wolves
8-1-0, 16pts
3
FINAL
5 Comets
5-7-0, 10pts
Team Stats
W1StreakL1
5-0-0Home Record3-2-0
3-1-0Away Record2-5-0
8-1-0Last 10 Games4-5-1
4.783.50
2.444.00
33.33%4.35%
86.36%66.67%
Comets
5-7-0, 10pts
2
FINAL
7 Wolves
8-1-0, 16pts
Team Stats
L1StreakW1
3-2-0Home Record5-0-0
2-5-0Away Record3-1-0
4-5-1Last 10 Games8-1-0
3.504.78
4.002.44
4.35%33.33%
66.67%86.36%
Griffins
8-3-0, 16pts
2024-05-16
Wolves
8-1-0, 16pts
Statistiques d'Équipe
W1SéquenceW1
5-1-05-0-0
3-2-03-1-0
7-3-010 Dernier Matchs8-1-0
4.364.78
3.182.44
35.29%33.33%
60.87%86.36%
Griffins
8-3-0, 16pts
2024-05-18
Wolves
8-1-0, 16pts
Statistiques d'Équipe
W1SéquenceW1
5-1-05-0-0
3-2-03-1-0
7-3-010 Dernier Matchs8-1-0
4.364.78
3.182.44
35.29%33.33%
60.87%86.36%
Wolves
8-1-0, 16pts
2024-05-20
Griffins
8-3-0, 16pts
Statistiques d'Équipe
W1SéquenceW1
5-0-05-1-0
3-1-03-2-0
8-1-010 Dernier Matchs7-3-0
4.784.36
2.443.18
33.33%35.29%
86.36%60.87%
Alex ChiassonButs
Alex Chiasson
6
Alex ChiassonPasses
Alex Chiasson
8
Alex ChiassonPoints
Alex Chiasson
14
Mark JankowskiPlus/Moins
Mark Jankowski
9
Pheonix CopleyVictoires
Pheonix Copley
8
Pheonix CopleyPourcentage d'Arrêts
Pheonix Copley
0.935

Statistiques d'Équipe

43
4.78 GFG
Tirs Pour
342
38.00 Avg

33.3%
6 GF

35.8%
Buts Contre
22
2.44 GAA
Tirs Contre
338
37.56 Avg

86.4%
3 GA

39.4%


Directeur généralAlex Wyatt
Metropolitan Division
Eastern Conference
Jordie Benn
Andreas Johnsson
Jujhar Khaira




Capacité de l'Aréna5,000
Assistance5,000
5,000




32
20
52 / 55
Éspoirs33


Astuces sur les Filtres (Anglais seulement)
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
# Nom du Joueur #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire Moyen
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$
12Aatu Raty (R)0X100.00785296677936555758677055636363050700202836,667$
13Chad Ruhwedel0X100.00765295698055566340676870656565050770332752,000$
14Jordie Benn (C)40X100.00765490708257556440676955676767050750351750,000$
15Alex Alexeyev (R)0X100.00705198678061556140686855646464050730231925,000$
16Kurtis MacDermid0XX100.00855886708135555640666866626262050720293948,000$
17Kyle Capobianco (R)0X100.00715392698050556040666955656565050720251765,000$
18Scott Perunovich (R)0X100.00533982607358454936686453562540050660243869,500$
Rayé
1Alex Galchenyuk0XXX100.00745494678141555651666955626262050700291750,000$
2Zac Dalpe0X100.00765197678037555752697055646464050700332750,000$
3Anthony Angello0XX100.005561795353738440655764375225400506002711,010,100$
4Tye Felhaber (R)0X100.00523984546158454236586539532540050600243775,000$
5Martin Pospisil (R)0X100.00545480535558643936586441512540050580232943,500$
6Nick Caamano (R)0XX100.00525483525458643836576339512540050570241750,000$
7Alexander Pashin (R)0X100.00525484525358643765576334502540050560202826,667$
8Will Butcher0X100.00526384555576884336626347532540050630282767,250$
9Reilly Walsh0X100.00526583555482954236616444532540050630241925,000$
10Albert Johansson (R)0X100.00535782525362723836576337512540050570221820,000$
11Quinn Wichers (R)0X100.00533882505158453536556332492540050550252962,000$
MOYENNE D'ÉQUIPE100.0067528965735464534665685560505505069
Astuces sur les Filtres (Anglais seulement)
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
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire Moyen
1Pheonix Copley100.00826567838381828392908730570508503121,455,000$
2Jesper Wallstedt (R)100.0074687477777574767874762555050780202925,000$
Rayé
1Isaiah Saville (R)100.0073655369756070636474682555050690222849,667$
MOYENNE D'ÉQUIPE100.007666657678727574787977275605077
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les Filtres (Anglais seulement)
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
# Nom du Joueur Nom de l'ÉquipePOSGP 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
1Alex ChiassonWolves (CAR)RW968146001643791916.22%214115.68033213000002115.688160001.9800000300
2Andreas JohnssonWolves (CAR)LW/RW948126008725151216.00%414416.07112513000002016.0716231001.6600000030
3Derek RyanWolves (CAR)C/RW9561160071827182918.52%1216518.373147130001180018.371431310001.3300000003
4Ryan DonatoWolves (CAR)LW/RW9651134091737122916.22%916218.092024120003170118.0928283001.3500000202
5Derek StepanWolves (CAR)C/RW936940015202851610.71%314015.62022312000001015.62120103001.2800000010
6Kyle CapobiancoWolves (CAR)D92796208184325.00%615116.8102221300005000.00%032001.1900000011
7Mark JankowskiWolves (CAR)C/LW94489007111991621.05%610411.6200000000000011.6273141001.5300000012
8Nicolas DeslauriersWolves (CAR)LW/RW935882021122081615.00%512714.1200000000118100.00%383001.2600000100
9Jujhar KhairaWolves (CAR)LW/RW92574401982513178.00%416218.080113120001170118.088117000.8600000000
10Ross JohnstonWolves (CAR)LW906607518317250.00%110411.650000000000000.00%393001.1400001000
11Devin ShoreWolves (CAR)LW/RW91459008812868.33%610411.6200000000001011.62172000.9600000000
12Justin DowlingWolves (CAR)C9145040811208145.00%611112.3700000000030012.377686000.9000000000
13Aatu RatyWolves (CAR)C9314020139127525.00%310611.880000000000000.00%192000.7500000000
14Chad RuhwedelWolves (CAR)D91346201712191175.26%1722725.24000213000017100.00%029000.3500000010
15Scott PerunovichWolves (CAR)D9033660526120.00%618320.380000000000000.00%014000.3300000000
16Kurtis MacDermidWolves (CAR)LW/D92136402014132615.38%913615.1100000000015010.00%007000.4400000000
17Jordie BennWolves (CAR)D9022610071314470.00%919121.28011013000116000.00%059000.2100000000
18Alex AlexeyevWolves (CAR)D9011600543380.00%719321.54000013000020000.00%035000.1000000000
Stats d'équipe Total ou en Moyenne16243791229147521117434213921712.57%115265916.42611172813100071518456.46%48017077000.9200001678
Astuces sur les Filtres (Anglais seulement)
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
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Pheonix CopleyWolves (CAR)98100.9352.445402022338207000.00%090211
Stats d'équipe Total ou en Moyenne98100.9352.445402022338207000.000090211


Astuces sur les Filtres (Anglais seulement)
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
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Aatu RatyWolves (CAR)C202002-11-14Yes190 Lbs6 ft2NoNoNo2Pro & Farm836,667$278,889$836,667$278,889$0$0$No836,667$Lien / Lien NHL
Albert JohanssonWolves (CAR)D222001-01-04Yes185 Lbs6 ft0NoNoNo1Pro & Farm820,000$273,333$820,000$273,333$0$0$NoLien / Lien NHL
Alex AlexeyevWolves (CAR)D231999-11-15Yes213 Lbs6 ft4NoNoNo1Pro & Farm925,000$308,333$925,000$308,333$0$0$NoLien / Lien NHL
Alex ChiassonWolves (CAR)RW321990-10-01No208 Lbs6 ft4NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Alex GalchenyukWolves (CAR)C/LW/RW291994-02-12No207 Lbs6 ft1NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Alexander PashinWolves (CAR)C202002-07-28Yes154 Lbs5 ft8NoNoNo2Pro & Farm826,667$275,556$826,667$275,556$0$0$No826,667$Lien / Lien NHL
Andreas Johnsson (Contrat à 1 Volet)Wolves (CAR)LW/RW281994-11-21No190 Lbs5 ft10NoNoNo2Pro & Farm792,000$264,000$792,000$264,000$0$0$No792,000$Lien / Lien NHL
Anthony AngelloWolves (CAR)C/RW271996-03-06No210 Lbs6 ft5NoNoNo1Pro & Farm1,010,100$336,700$1,010,100$336,700$0$0$NoLien / Lien NHL
Chad RuhwedelWolves (CAR)D331990-05-07No191 Lbs5 ft11NoNoNo2Pro & Farm752,000$250,667$752,000$250,667$0$0$No752,000$Lien / Lien NHL
Derek RyanWolves (CAR)C/RW361986-12-29No185 Lbs5 ft10NoNoNo1Pro & Farm900,000$300,000$900,000$300,000$0$0$NoLien / Lien NHL
Derek StepanWolves (CAR)C/RW331990-06-18No196 Lbs5 ft11NoNoNo2Pro & Farm750,000$250,000$750,000$250,000$0$0$No750,000$Lien / Lien NHL
Devin ShoreWolves (CAR)LW/RW281994-07-19No206 Lbs6 ft1NoNoNo2Pro & Farm841,000$280,333$841,000$280,333$0$0$No841,000$Lien / Lien NHL
Isaiah SavilleWolves (CAR)G222000-09-21Yes199 Lbs6 ft1NoNoNo2Pro & Farm849,667$283,222$849,667$283,222$0$0$No849,667$Lien / Lien NHL
Jesper WallstedtWolves (CAR)G202002-11-14Yes213 Lbs6 ft3NoNoNo2Pro & Farm925,000$308,333$925,000$308,333$0$0$No925,000$Lien / Lien NHL
Jordie BennWolves (CAR)D351987-07-26No201 Lbs6 ft2NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Jujhar KhairaWolves (CAR)LW/RW281994-08-13No212 Lbs6 ft4NoNoNo2Pro & Farm965,250$321,750$965,250$321,750$0$0$No965,250$Lien / Lien NHL
Justin DowlingWolves (CAR)C321990-10-01No180 Lbs5 ft10NoNoNo2Pro & Farm750,000$250,000$750,000$250,000$0$0$No750,000$Lien / Lien NHL
Kurtis MacDermidWolves (CAR)LW/D291994-03-25No233 Lbs6 ft5NoNoNo3Pro & Farm948,000$316,000$948,000$316,000$0$0$No948,000$948,000$Lien / Lien NHL
Kyle CapobiancoWolves (CAR)D251997-08-13Yes201 Lbs6 ft2NoNoNo1Pro & Farm765,000$255,000$765,000$255,000$0$0$NoLien / Lien NHL
Mark JankowskiWolves (CAR)C/LW281994-09-13No201 Lbs6 ft4NoNoNo2Pro & Farm767,250$255,750$767,250$255,750$0$0$No767,250$Lien / Lien NHL
Martin PospisilWolves (CAR)RW231999-11-19Yes173 Lbs6 ft2NoNoNo2Pro & Farm943,500$314,500$943,500$314,500$0$0$No943,500$Lien / Lien NHL
Nick CaamanoWolves (CAR)LW/RW241998-09-07Yes205 Lbs6 ft3NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Nicolas DeslauriersWolves (CAR)LW/RW321991-02-22No220 Lbs6 ft1NoNoNo2Pro & Farm1,662,000$554,000$1,662,000$554,000$0$0$No1,662,000$Lien / Lien NHL
Pheonix CopleyWolves (CAR)G311992-01-18No200 Lbs6 ft4NoNoNo2Pro & Farm1,455,000$485,000$1,455,000$485,000$0$0$No1,455,000$Lien / Lien NHL
Quinn WichersWolves (CAR)D251997-08-19Yes216 Lbs6 ft4NoNoNo2Farm Only962,000$320,667$962,000$320,667$0$0$No962,000$Lien / Lien NHL
Reilly WalshWolves (CAR)D241999-04-21No185 Lbs6 ft0NoNoNo1Pro & Farm925,000$308,333$925,000$308,333$0$0$NoLien / Lien NHL
Ross JohnstonWolves (CAR)LW291994-02-18No230 Lbs6 ft5NoNoNo3Pro & Farm1,056,000$352,000$1,056,000$352,000$0$0$No1,056,000$1,056,000$Lien / Lien NHL
Ryan Donato (Contrat à 1 Volet)Wolves (CAR)LW/RW271996-04-09No190 Lbs6 ft0NoNoNo3Pro & Farm1,236,000$412,000$1,236,000$412,000$111,000$37,000$No1,236,000$1,236,000$Lien / Lien NHL
Scott PerunovichWolves (CAR)D241998-08-18Yes185 Lbs5 ft10NoNoNo3Pro & Farm869,500$289,833$869,500$289,833$0$0$No869,500$869,500$Lien / Lien NHL
Tye FelhaberWolves (CAR)LW241998-08-05Yes185 Lbs5 ft11NoNoNo3Pro & Farm775,000$258,333$775,000$258,333$0$0$No775,000$775,000$Lien / Lien NHL
Will ButcherWolves (CAR)D281995-01-06No190 Lbs5 ft10NoNoNo2Pro & Farm767,250$255,750$767,250$255,750$0$0$No767,250$Lien / Lien NHL
Zac DalpeWolves (CAR)C331989-11-01No197 Lbs6 ft2NoNoNo2Pro & Farm750,000$250,000$750,000$250,000$0$0$No750,000$Lien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3227.31198 Lbs6 ft11.84900,777$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Andreas JohnssonDerek RyanAlex Chiasson30104
2Jujhar KhairaDerek StepanRyan Donato30122
3Nicolas DeslauriersMark JankowskiDevin Shore20230
4Ross JohnstonJustin DowlingAatu Raty20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Chad RuhwedelKyle Capobianco30113
2Jordie BennAlex Alexeyev30131
3Kurtis MacDermidScott Perunovich20131
4Chad RuhwedelScott Perunovich20131
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Andreas JohnssonDerek RyanAlex Chiasson50005
2Jujhar KhairaDerek StepanRyan Donato50005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Chad RuhwedelAlex Alexeyev50122
2Jordie BennKyle Capobianco50122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Ryan DonatoNicolas Deslauriers50140
2Derek RyanJujhar Khaira50140
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Chad RuhwedelKurtis MacDermid50140
2Jordie BennAlex Alexeyev50140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Ryan Donato50140Chad RuhwedelKurtis MacDermid50140
2Nicolas Deslauriers50140Jordie BennAlex Alexeyev50140
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Ryan DonatoNicolas Deslauriers50122
2Derek RyanJujhar Khaira50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Chad RuhwedelAlex Alexeyev50131
2Jordie BennKurtis MacDermid50131
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Ryan DonatoDerek RyanNicolas DeslauriersChad RuhwedelAlex Alexeyev
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Ryan DonatoDerek RyanNicolas DeslauriersChad RuhwedelKurtis MacDermid
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Andreas Johnsson, Mark Jankowski, Justin DowlingAndreas Johnsson, Mark JankowskiJustin Dowling
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kurtis MacDermid, Kyle Capobianco, Jordie BennKurtis MacDermidKyle Capobianco, Jordie Benn
Tirs de Pénalité
Ryan Donato, Nicolas Deslauriers, Derek Ryan, Jujhar Khaira, Alex Chiasson
Gardien
#1 : Pheonix Copley, #2 : Jesper Wallstedt
Lignes d'Attaque Perso. en Prol.
Ryan Donato, Nicolas Deslauriers, Derek Ryan, Jujhar Khaira, Alex Chiasson, Andreas Johnsson, Andreas Johnsson, Derek Stepan, Mark Jankowski, Justin Dowling, Devin Shore
Lignes de Défense Perso. en Prol.
Chad Ruhwedel, Alex Alexeyev, Jordie Benn, Scott Perunovich, Kurtis MacDermid


Astuces sur les Filtres (Anglais seulement)
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
LigueDomicileVisiteur
# VS Équipe 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
1Comets54100000201373300000014682110000067-180.800203757001913110185142971030188623110412433.33%130100.00%09317254.07%11318959.79%6511954.62%2151441856913869
2Monsters440000002391422000000125722000000114781.00023426500191311015714297103015053181076233.33%9366.67%09317254.07%11318959.79%6511954.62%2151441856913869
Total98100000432221550000002611154310000017116160.88943791220019131103421429710303381154921118633.33%22386.36%09317254.07%11318959.79%6511954.62%2151441856913869
_Since Last GM Reset98100000432221550000002611154310000017116160.88943791220019131103421429710303381154921118633.33%22386.36%09317254.07%11318959.79%6511954.62%2151441856913869
_Vs Conference98100000432221550000002611154310000017116160.88943791220019131103421429710303381154921118633.33%22386.36%09317254.07%11318959.79%6511954.62%2151441856913869
_Vs Division98100000432221550000002611154310000017116160.88943791220019131103421429710303381154921118633.33%22386.36%09317254.07%11318959.79%6511954.62%2151441856913869

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
916W143791223423381154921100
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
98100004322
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
55000002611
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
43100001711
Derniers 10 Matchs
WLOTWOTL SOWSOL
810000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
18633.33%22386.36%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
1429710301913110
Mises en Jeu
Gagnées en Zone OffensiveTotal en Zone Offensive% Gagnées en Zone Offensive Gagnées en Zone DéfensiveTotal en Zone Défensive% Gagnées en Zone DéfensiveGagnées en Zone NeutreTotal en Zone Neutre% Gagnées en Zone Neutre
9317254.07%11318959.79%6511954.62%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2151441856913869


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
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
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2024-04-183Monsters2Wolves6BWSommaire du Match
3 - 2024-04-2011Monsters3Wolves6BWSommaire du Match
5 - 2024-04-2219Wolves5Monsters2AWSommaire du Match
7 - 2024-04-2427Wolves6Monsters2AWSommaire du Match
15 - 2024-05-0258Comets2Wolves3BWSommaire du Match
17 - 2024-05-0462Comets2Wolves4BWSommaire du Match
19 - 2024-05-0666Wolves3Comets2AWSommaire du Match
21 - 2024-05-0870Wolves3Comets5ALSommaire du Match
23 - 2024-05-1074Comets2Wolves7BWSommaire du Match
29 - 2024-05-1685Griffins-Wolves-
31 - 2024-05-1887Griffins-Wolves-
33 - 2024-05-2089Wolves-Griffins-
35 - 2024-05-2291Wolves-Griffins-
37 - 2024-05-2493Griffins-Wolves-
39 - 2024-05-2695Wolves-Griffins-
41 - 2024-05-2897Griffins-Wolves-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna35001500
Prix des Billets5025
Assistance17,5007,500
Assistance PCT100.00%100.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
36 5000 - 100.00% 108,375$541,875$5000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 26,796,852$ 26,796,852$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 14 0$ 0$




Wolves

# Nom du Joueur 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

# Nom du Gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Pheonix Copley7570410.9521.6045128412024841450700.8758
2Ville Husso82651520.8763.304926016271218211331601.0006
3Kirill Ustimenko82502380.9122.91492817123927071468600.72218
4Jesper Wallstedt75200.9063.154190022233142310.0000
5Michael Hutchinson11000.8336.6718002129000.0000

Wolves

LigueDomicileVisiteur
Année 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
Saison Régulière
2021826215012205522712814132800100312135177413070112024013610413255289714490160189173187205405916548032182834170410451967136.22%2124678.30%14526111047.39%691147246.94%646143045.17%1711112220076171213607
20228246230461230624363412990210016510857411714025121411356110306535841011068610972665935828880402719101933116721543220.78%1583677.22%2624129648.15%754160746.92%538108949.40%1787110817996691362683
20238272602011410144266414000100023268164413260101117876102151410698110814164112131430271110929978192718108349618431133329.20%1952487.69%7838153254.70%843163451.59%601109854.74%2022135916276321285650
Total Saison Régulière2461804407843126865861012310117032007093113981237927046435593472123931268213033981212703874131987746204523482512862761929362531456046313629.37%56510681.24%231988393850.48%2288471348.55%1785361749.35%552135905434191938611941
Séries
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
2023981000004322215500000026111543100000171161643791220019131103421429710303381154921118633.33%22386.36%09317254.07%11318959.79%6511954.62%2151441856913869
Total Séries18990000083101-181064000004857-9835000003544-9188314522800253317861719919616854628228143361411024.39%391269.23%114731247.12%17233251.81%14330047.67%407268388141284139

Wolves

# Nom du Joueur 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
3Alex Chiasson96814601643716.22%214115.68033200002175.00%01.9800
4Andreas Johnsson9481260872516.00%414416.07112500002056.25%01.6600
5Peyton Krebs94711-9264121428.57%616017.79000000000060.29%11.3700

Wolves

# Nom du Gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Pheonix Copley98100.9352.445402022338207000.0000
2Kirill Ustimenko51400.8714.42299002217092000.0000
3Veini Vehvilainen40100.21620.96830029376000.0000