Wolves
GP: 7 | W: 3 | L: 4
GF: 24 | GA: 29 | PP%: 17.65% | PK%: 77.78%
DG: Yves Ayotte | Morale : 75 | Moyenne d’équipe : 62
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Wolves
3-4-0, 6pts
5
FINAL
2 IceHogs
5-7-0, 10pts
Team Stats
L1StreakL2
2-2-0Home Record3-2-0
1-2-0Away Record2-5-0
3-3-1Last 10 Games4-5-1
3.43Buts par match 3.25
4.14Buts contre par match 3.58
17.65%Pourcentage en avantage numérique22.22%
77.78%Pourcentage en désavantage numérique73.33%
IceHogs
5-7-0, 10pts
7
FINAL
1 Wolves
3-4-0, 6pts
Team Stats
L2StreakL1
3-2-0Home Record2-2-0
2-5-0Away Record1-2-0
4-5-1Last 10 Games3-3-1
3.25Buts par match 3.43
3.58Buts contre par match 4.14
22.22%Pourcentage en avantage numérique17.65%
73.33%Pourcentage en désavantage numérique77.78%
Meneurs d'équipe
Michael HutchinsonVictoires
Michael Hutchinson
3
Cole KehlerPourcentage d’arrêts
Cole Kehler
0.938

Statistiques d’équipe
Buts pour
24
3.43 GFG
Tirs pour
235
33.57 Avg
Pourcentage en avantage numérique
17.6%
3 GF
Début de zone offensive
39.5%
Buts contre
29
4.14 GAA
Tirs contre
266
38.00 Avg
Pourcentage en désavantage numérique
77.8%
6 GA
Début de la zone défensive
41.3%
Information d’équipe

Directeur généralYves Ayotte
EntraîneurJohn Wroblewski
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Information formation

Équipe Pro30
Équipe Mineure18
Limite contact 48 / 80
Espoirs50


Historique d'équipe

Saison actuelle3-4
Historique47-28-7 (0.573%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)3-4
Stanley Cup0


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
1Mathieu Olivier0X100.008689566383798462566163596267690756402421,499,000$
2Michael Chaput0X100.007339746380747662736162646377690756402931,499,000$
3Boris Katchouk0X100.00714680638082876369646265636466075640231875,000$
4Filip Chlapik0XX100.00873690627966716472626163646765075640243985,700$
5Nicholas Merkley0X100.007835916269827865636862556667640756402431,223,000$
6Darren Archibald0X100.007638896185778158625760595679700756303121,499,000$
7Sampo Ranta (R)0X100.00663593637980776256596457636165075630213925,000$
8Jeffrey Truchon-Viel0X100.00807753627470746358616258626764075620241750,000$
9Michael Carcone0X100.00633975616385905960586456626965075610251700,000$
10Nick Schilkey0X100.00563985606581846259615856627367075610272700,000$
11Antoine Morand0X100.00574678606986915968585654616463075600222925,000$
12Jakub Lauko0X100.00595667606865706076625961606263075600212925,000$
13Adam Boqvist0X100.00663592746883767230686163556264075660212925,000$
14Matt Irwin0X100.008739826078827762306655714984740756503421,499,000$
15Mark Barberio0X100.005939766177807563306657674879740756303131,499,000$
16Eric Knodel0X100.008735935796727557306350634679710756303121,499,000$
17Brennan Menell0X100.00533887616884806330655762516762075620243750,000$
18Matt Bartkowski0X100.005835956078787458306056644982730756203331,499,000$
Rayé
1Gage Quinney0XX100.005535956572717264756564636771660756402631,499,000$
2Evan Weinger0X100.006443835773828756595758555667640756002421,499,000$
3Jonathan Gruden (R)0X100.00593986606978835760595856596163075600213925,000$
4Alex Gallant0XX100.00798655547177745355525453557769075580291750,000$
5Tim McGauley0XX100.00633592547270675362515655547166075580261750,000$
6Matej Pekar (R)0X100.00653654597471765855565354586163075580213925,000$
7Austin Strand0X100.00644680628775726330615765546764075620242800,000$
8Markus Phillips (R)0X100.00664285567577825530575458476362075590223925,000$
9Layton Ahac (R)0X100.00693888527860655230545055456060075570203925,000$
MOYENNE D’ÉQUIPE100.0068448160757778605260586057696607562
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
1Michael Hutchinson100.0080848983797880797880798086075690313900,000$
2Cole Kehler100.00717775877069717069717067710756402421,499,000$
Rayé
1Erik Kallgren100.00726664837170727170727169730756402521,499,000$
MOYENNE D’ÉQUIPE100.007476768473727473727473727707566
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Wroblewski62607273605786USA394900,000$


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
1Boris KatchoukWolves (CAR)LW72572007103311216.06%217224.640117160001300056.25%1600000.8100000000
2Nicholas MerkleyWolves (CAR)RW7347-120105205715.00%214220.40101417000000025.00%1200000.9800000010
3Eric KnodelWolves (CAR)D7246-512016776628.57%915221.85022313000019000.00%000000.7800000001
4Mark BarberioWolves (CAR)D7055-5208613580.00%1917625.21011513000027000.00%000000.5700000010
5Michael ChaputWolves (CAR)C73252009261842416.67%017024.380003160000290146.84%26900000.5900000100
6Mathieu OlivierWolves (CAR)RW722411403461951510.53%114320.5211261200001000100.00%200000.5600000000
7Antoine MorandWolves (CAR)C7044-34091210570.00%210815.49011213000000049.32%14600000.7400000000
8Matt IrwinWolves (CAR)D704402027910480.00%1717725.36000216000026000.00%000000.4500000011
9Sampo RantaWolves (CAR)LW7404-100071731323.53%112317.6100000000001020.00%500010.6500000100
10Jeffrey Truchon-VielWolves (CAR)LW7213010011370228.57%0436.1600000000020060.00%500001.3900000000
11Adam BoqvistWolves (CAR)D7123000610159116.67%1115722.4700051600004100.00%000000.3800000001
12Austin StrandWolves (CAR)D31233008371314.29%16220.980000000007000.00%000000.9500000000
13Matt BartkowskiWolves (CAR)D71232209453120.00%511316.240000000000000.00%000000.5300000000
14Filip ChlapikWolves (CAR)C/LW60330201513113120.00%210116.8700000000000054.31%11600000.5900000001
15Jakub LaukoWolves (CAR)C7112-10031473814.29%07010.14000000000160053.25%7700000.5600000000
16Michael CarconeWolves (CAR)LW711202017801112.50%0527.54101513000001037.50%1600000.7600000000
17Darren ArchibaldWolves (CAR)LW7112-32011314777.14%210414.9000000000180036.36%1100000.3800000010
18Nick SchilkeyWolves (CAR)RW7022-30014121200.00%09513.5800000000000033.33%300000.4200000000
19Evan WeingerWolves (CAR)RW1000000100100.00%088.870000000000000.00%000000.0000000000
20Brennan MenellWolves (CAR)D4000-140642110.00%88421.2400000000013000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne126244569-135801921532357718510.21%82226317.963694215200021983148.82%67800010.6100000244
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
1Michael HutchinsonWolves (CAR)73310.8883.7944340282500100.000070100
2Cole KehlerWolves (CAR)10000.9383.0020001160000.000007000
Statistiques d’équipe totales ou en moyenne83310.8913.7646340292660100.000077100


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 restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam BoqvistWolves (CAR)D218/15/2000No179 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Alex GallantWolves (CAR)C/LW2912/8/1992No177 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Antoine MorandWolves (CAR)C222/18/1999No184 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Austin StrandWolves (CAR)D242/17/1997No216 Lbs6 ft3NoNoNo2Pro & Farm800,000$831,250$0$0$No800,000$Lien / Lien NHL
Boris KatchoukWolves (CAR)LW236/18/1998No199 Lbs6 ft2NoNoNo1Pro & Farm875,000$875,000$0$0$NoLien / Lien NHL
Brennan MenellWolves (CAR)D245/24/1997No177 Lbs5 ft11NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Cole KehlerWolves (CAR)G2412/17/1997No205 Lbs6 ft4NoNoNo2Pro & Farm1,499,000$1,499,000$0$0$No1,499,000$Lien / Lien NHL
Darren ArchibaldWolves (CAR)LW312/9/1990No210 Lbs6 ft3NoNoNo2Pro & Farm1,499,000$1,499,000$0$0$No1,499,000$Lien / Lien NHL
Eric KnodelWolves (CAR)D316/8/1990No216 Lbs6 ft6NoNoNo2Pro & Farm1,499,000$1,499,000$0$0$No1,499,000$Lien / Lien NHL
Erik KallgrenWolves (CAR)G2510/14/1996No198 Lbs6 ft3NoNoNo2Pro & Farm1,499,000$1,499,000$0$0$No1,499,000$Lien / Lien NHL
Evan WeingerWolves (CAR)RW244/18/1997No193 Lbs6 ft0NoNoNo2Pro & Farm1,499,000$1,499,000$0$0$No1,499,000$Lien / Lien NHL
Filip ChlapikWolves (CAR)C/LW246/3/1997No194 Lbs6 ft2NoNoNo3Pro & Farm985,700$985,700$0$0$No985,700$985,700$Lien / Lien NHL
Gage QuinneyWolves (CAR)C/LW267/29/1995No200 Lbs5 ft11NoNoNo3Pro & Farm1,499,000$1,499,000$0$0$No1,499,000$1,499,000$Lien / Lien NHL
Jakub LaukoWolves (CAR)C213/28/2000No169 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Jeffrey Truchon-VielWolves (CAR)LW241/28/1997No197 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Jonathan GrudenWolves (CAR)LW215/4/2000Yes172 Lbs6 ft0NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Layton AhacWolves (CAR)D202/22/2001Yes188 Lbs6 ft2NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Mark BarberioWolves (CAR)D313/23/1990No200 Lbs6 ft1NoNoNo3Pro & Farm1,499,000$1,499,000$0$0$No1,499,000$1,499,000$Lien / Lien NHL
Markus PhillipsWolves (CAR)D223/21/1999Yes202 Lbs6 ft0NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Matej PekarWolves (CAR)LW212/10/2000Yes185 Lbs6 ft1NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Mathieu OlivierWolves (CAR)RW242/11/1997No210 Lbs6 ft2NoNoNo2Pro & Farm1,499,000$1,499,000$0$0$No1,499,000$Lien / Lien NHL
Matt BartkowskiWolves (CAR)D336/4/1988No201 Lbs6 ft1NoNoNo3Pro & Farm1,499,000$1,499,000$0$0$No1,499,000$1,499,000$Lien / Lien NHL
Matt IrwinWolves (CAR)D3411/29/1987No189 Lbs6 ft2NoNoNo2Pro & Farm1,499,000$1,499,000$0$0$No1,499,000$Lien / Lien NHL
Michael CarconeWolves (CAR)LW255/19/1996No170 Lbs5 ft9NoNoNo1Pro & Farm700,000$733,333$0$0$NoLien / Lien NHL
Michael ChaputWolves (CAR)C294/9/1992No199 Lbs6 ft2NoNoNo3Pro & Farm1,499,000$1,499,000$0$0$No1,499,000$1,499,000$Lien / Lien NHL
Michael HutchinsonWolves (CAR)G313/2/1990No198 Lbs6 ft3NoNoNo3Pro & Farm900,000$900,000$0$0$No900,000$900,000$Lien / Lien NHL
Nicholas MerkleyWolves (CAR)RW245/23/1997No194 Lbs5 ft10NoNoNo3Pro & Farm1,223,000$1,223,000$0$0$No1,223,000$1,223,000$Lien / Lien NHL
Nick SchilkeyWolves (CAR)RW275/12/1994No173 Lbs5 ft10NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien / Lien NHL
Sampo RantaWolves (CAR)LW215/31/2000Yes195 Lbs6 ft2NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Tim McGauleyWolves (CAR)C/RW267/23/1995No172 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3025.40192 Lbs6 ft12.271,102,423$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Boris KatchoukMichael ChaputMathieu Olivier34014
2Sampo RantaFilip ChlapikNicholas Merkley34023
3Darren ArchibaldAntoine MorandNick Schilkey24122
4Jeffrey Truchon-VielJakub LaukoMichael Carcone8122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam BoqvistMatt Irwin34023
2Eric KnodelMark Barberio32122
3Matt BartkowskiBrennan Menell26122
4Mark BarberioBrennan Menell8122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Boris KatchoukMichael ChaputNicholas Merkley60005
2Mathieu OlivierAntoine MorandMichael Carcone40005
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt IrwinAdam Boqvist60005
2Mark BarberioEric Knodel40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Michael ChaputBoris Katchouk60050
2Jakub LaukoMathieu Olivier40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt IrwinMark Barberio60050
2Eric KnodelBrennan Menell40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Michael Chaput60122Matt IrwinMark Barberio60122
2Jakub Lauko40122Brennan MenellEric Knodel40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Michael ChaputBoris Katchouk60014
2Jakub LaukoNicholas Merkley40014
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam BoqvistMatt Irwin60023
2Mark BarberioEric Knodel40023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Boris KatchoukMichael ChaputNicholas MerkleyAdam BoqvistMatt Irwin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Boris KatchoukMichael ChaputMathieu OlivierMark BarberioMatt Irwin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jeffrey Truchon-Viel, Nicholas Merkley, Darren ArchibaldJeffrey Truchon-Viel, Nicholas MerkleyDarren Archibald
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mark Barberio, Eric Knodel, Brennan MenellBrennan MenellEric Knodel, Mark Barberio
Tirs de pénalité
Michael Chaput, Nicholas Merkley, Jakub Lauko, Sampo Ranta, Antoine Morand
Gardien
#1 : Michael Hutchinson, #2 : Cole Kehler
Lignes d’attaque personnalisées en prolongation
Nicholas Merkley, Jakub Lauko, Michael Carcone, Michael Chaput, Antoine Morand, Boris Katchouk, Boris Katchouk, Darren Archibald, Sampo Ranta, Jeffrey Truchon-Viel, Nick Schilkey
Lignes de défense personnalisées en prolongation
Eric Knodel, Matt Irwin, Mark Barberio, Brennan Menell, Adam Boqvist


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
TotalDomicileVisiteur
# 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
1IceHogs734000002429-5422000001117-6312000001312160.429244569006115223566587932266826219217317.65%27677.78%014126852.61%13628048.57%5413041.54%181124183569948
Total734000002429-5422000001117-6312000001312160.429244569006115223566587932266826219217317.65%27677.78%014126852.61%13628048.57%5413041.54%181124183569948
_Since Last GM Reset734000002429-5422000001117-6312000001312160.429244569006115223566587932266826219217317.65%27677.78%014126852.61%13628048.57%5413041.54%181124183569948
_Vs Conference734000002429-5422000001117-6312000001312160.429244569006115223566587932266826219217317.65%27677.78%014126852.61%13628048.57%5413041.54%181124183569948
_Vs Division734000002429-5422000001117-6312000001312160.429244569006115223566587932266826219217317.65%27677.78%014126852.61%13628048.57%5413041.54%181124183569948

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
76L1244569235266826219200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
73400002429
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
42200001117
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
31200001312
Derniers 10 matchs
WLOTWOTL SOWSOL
330100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
17317.65%27677.78%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
6658793261152
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
14126852.61%13628048.57%5413041.54%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
181124183569948


Derniers matchs 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
2 - 2022-04-136IceHogs2Wolves3BWXSommaire du match
4 - 2022-04-1514IceHogs5Wolves3BLSommaire du match
6 - 2022-04-1722Wolves3IceHogs4ALSommaire du match
8 - 2022-04-1930Wolves5IceHogs6ALXSommaire du match
10 - 2022-04-2138IceHogs3Wolves4BWXSommaire du match
12 - 2022-04-2346Wolves5IceHogs2AWSommaire du match
14 - 2022-04-2554IceHogs7Wolves1BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance8,0004,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
37 3000 - 100.00% 81,250$325,000$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,307,270$ 3,071,228$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Wolves Leaders statistiques (saison régulière)

# 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
1Gage Quinney8225477235162372818.90%13161919.755182360000311255.66%00.8913
2Mark Barberio781452668438911312711.02%122174122.3391019620003200.00%00.7600
3Adam Boqvist77174764-1018631611978.63%74165921.55913221130000200.00%00.7700
4Boris Katchouk8233296252113013130310.89%27178121.73109195010192155.24%00.7000
5Nicholas Merkley782234561626156992329.48%5146018.73210123800005151.85%00.7712

Wolves Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Michael Hutchinson76432670.9073.14454810223825640220.90010
2Erik Kallgren84200.9282.7741200192650000.0000

Wolves Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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
2382392806621289260294120150311113912514411913035101501351510128950879722961038283001969104495344283180160519892685721.27%2443984.02%11752310456.44%1591293354.24%732134254.55%2072145818435811050533
Total Saison régulière82392806621289260294120150311113912514411913035101501351510128950879722961038283001969104495344283180160519892685721.27%2443984.02%11752310456.44%1591293354.24%732134254.55%2072145818435811050533
23734000002429-5422000001117-631200000131216244569006115223566587932266826219217317.65%27677.78%014126852.61%13628048.57%5413041.54%181124183569948
Total Séries éliminatoires734000002429-5422000001117-631200000131216244569006115223566587932266826219217317.65%27677.78%014126852.61%13628048.57%5413041.54%181124183569948

Wolves Leaders statistiques (séries éliminatoires)

# 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
1Boris Katchouk725720710336.06%217224.64011700010056.25%00.8100
2Nicholas Merkley7347-121052015.00%214220.40101400000025.00%00.9800
3Eric Knodel7246-512167728.57%915221.8502230000000.00%00.7800
4Michael Chaput7325209261816.67%017024.38000300000146.84%00.5900
5Mark Barberio7055-5286130.00%1917625.2101150000000.00%00.5700

Wolves Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Michael Hutchinson73310.8883.7944340282500100.0000
2Cole Kehler10000.9383.0020001160000.0000