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Wolves
GP: 1 | W: 1 | L: 0 | OTL: 0 | P: 2
GF: 3 | GA: 2 | PP%: 0.00% | PK%: 83.33%
DG: Michael Lévesque | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #19 vs Griffins
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Centre de jeu
Wolves
1-0-0, 2pts
3
FINAL
2 Rampage
0-0-1, 1pts
Team Stats
W1StreakOTL1
0-0-0Home Record0-0-1
1-0-0Away Record0-0-0
1-0-0Last 10 Games0-0-1
3.00Buts par match 2.00
2.00Buts contre par match 3.00
0.00%Pourcentage en avantage numérique16.67%
83.33%Pourcentage en désavantage numérique100.00%
Griffins
1-0-0, 2pts
2022-10-14
Wolves
1-0-0, 2pts
Statistiques d’équipe
W1SéquenceW1
0-0-0Fiche domicile0-0-0
1-0-0Fiche visiteur1-0-0
1-0-010 derniers matchs1-0-0
3.00Buts par match 3.00
2.00Buts contre par match 3.00
14.29%Pourcentage en avantage numérique0.00%
60.00%Pourcentage en désavantage numérique83.33%
Wolves
1-0-0, 2pts
2022-10-15
Rampage
0-0-1, 1pts
Statistiques d’équipe
W1SéquenceOTL1
0-0-0Fiche domicile0-0-1
1-0-0Fiche visiteur0-0-0
1-0-010 derniers matchs0-0-1
3.00Buts par match 2.00
2.00Buts contre par match 2.00
0.00%Pourcentage en avantage numérique16.67%
83.33%Pourcentage en désavantage numérique100.00%
Moose
0-0-1, 1pts
2022-10-16
Wolves
1-0-0, 2pts
Statistiques d’équipe
OTL1SéquenceW1
0-0-1Fiche domicile0-0-0
0-0-0Fiche visiteur1-0-0
0-0-110 derniers matchs1-0-0
2.00Buts par match 3.00
3.00Buts contre par match 3.00
25.00%Pourcentage en avantage numérique0.00%
85.71%Pourcentage en désavantage numérique83.33%
Meneurs d'équipe
Buts
Boris Katchouk
1
Passes
Mackenzie MacEachern
2
Points
Mackenzie MacEachern
2
Plus/Moins
Boris Katchouk
2
Victoires
Charlie Lindgren
1
Pourcentage d’arrêts
Charlie Lindgren
0.867

Statistiques d’équipe
Buts pour
3
3.00 GFG
Tirs pour
14
14.00 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
28.8%
Buts contre
2
2.00 GAA
Tirs contre
15
15.00 Avg
Pourcentage en désavantage numérique
83.3%
1 GA
Début de la zone défensive
43.9%
Informations de l'équipe

Directeur généralMichael Lévesque
EntraîneurAlex Burrows
DivisionDivision 4
ConférenceConference 2
CapitaineAlexander Holtz
Assistant #1Jakob Pelletier
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure22
Limite contact 47 / 60
Espoirs34


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
1Austin Poganski0X100.00798786657754626025505565254646595000264750,000$
2Rafael Harvey-Pinard (R)0X100.00726490706463636379626163584444645000232875,000$
3Boris Katchouk0X100.00885781727756716136575774255050645000241894,166$
4Matthew Highmore0XX100.00734390706763695736626078255858665000263725,000$
5Dylan Gambrell0XX100.008144937768628358805657782561616550002641,100,000$
6Glenn Gawdin0X100.00707167647170726480646062574444635000251925,000$
7Alexander Holtz (R) (C)0X100.006742927870626270256755692544446450002021,775,000$
8Mackenzie MacEachern0XX100.00794490717250675925625571255858635000281750,000$
9Cameron Morrison (R)0XX100.00847995707948475265505066484444575000244925,000$
10Alex Belzile0XXX100.00804488667156596844505571635656615000312700,000$
11Jakob Pelletier (R) (A)0XX100.00726589636557556680636664634444655000214863,333$
12Sam Poulin (R)0XX100.00797880677857575950565865554444615000213863,333$
13Mackenzie Entwistle0X100.00885687707057685839615973255050655000231894,167$
14Caleb Jones0X100.00804489777170686425545076756464635000254850,000$
15Jake Walman0X100.00734293746564646425514874255859605000261925,000$
16Justin Barron (R)0X100.007872937772575854254845644344445750002021,158,333$
17Niko Mikkola0X100.00855672737371686025544885255556645000281925,000$
18Simon Benoit0X100.00977087727464755625474773255050615000242925,000$
19Kurtis MacDermid0X100.00839959699046695525444867256060575000283875,000$
Rayé
1Jakub Lauko (R)0XXX100.00666471676457595164524657444444545000221894,167$
2Cam York0X80.416942937864786080255750752546466450002121,308,333$
3Dillon Heatherington (R)0X100.00859978638659575525394777254444585000273750,000$
MOYENNE D’ÉQUIPE99.0979628571726064614255547038505062500
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
1Lukas Dostal (R)100.0059526567636255636261304444595000222910,833$
2Charlie Lindgren100.00624253696765656970693046466350002831,000,000$
Rayé
1Zachary Emond (R)100.0043405073424250514546304444455000223800,000$
MOYENNE D’ÉQUIPE100.005545567057565761595930454556500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Alex Burrows75748075727088CAN413500,000$


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
1Mackenzie MacEachernWolves (STL)LW/RW1022100110000.00%01717.100000300003000.00%000002.3400000100
2Boris KatchoukWolves (STL)LW11012202030133.33%01717.7800004000031017.78300001.1200000010
3Dylan GambrellWolves (STL)C/RW110110003100100.00%02121.2200004000050121.222900000.9400000001
4Alexander HoltzWolves (STL)RW11010001320150.00%01313.170000300000000.00%100001.5200000000
5Justin BarronWolves (STL)D1011200200100.00%01616.450000100001000.00%000001.2200000000
6Niko MikkolaWolves (STL)D1011100100000.00%02323.950000300003000.00%000000.8400000000
7Jakob PelletierWolves (STL)C/LW1011000231100.00%01313.0000003000000013.001700001.5400000000
8Austin PoganskiWolves (STL)RW1000000100010.00%01010.570000000000000.00%000000.00%00000000
9Rafael Harvey-PinardWolves (STL)LW1000000020000.00%01111.570000000002000.00%000000.00%00000000
10Caleb JonesWolves (STL)D1000020320010.00%42323.570000300003000.00%000000.00%00000000
11Matthew HighmoreWolves (STL)LW/RW1000000020010.00%01313.1000000000000013.10200000.00%00000000
12Glenn GawdinWolves (STL)C1000000102100.00%099.670000000000009.67500000.00%00000000
13Jake WalmanWolves (STL)D1000000010000.00%32020.220000300004000.00%000000.00%00000000
14Simon BenoitWolves (STL)D1000-120511000.00%01919.080000200003000.00%000000.00%00000000
15Cameron MorrisonWolves (STL)C/LW1000000000000.00%011.200000100000001.20100000.00%00000000
16Alex BelzileWolves (STL)C/LW/RW1000000022010.00%01212.1800000000000012.181000000.00%00000000
17Kurtis MacDermidWolves (STL)D1000140600000.00%11616.280000200000000.00%000000.00%00000000
18Sam PoulinWolves (STL)LW/RW1000020020000.00%01212.170000000000000.00%000000.00%00000000
19Mackenzie EntwistleWolves (STL)RW1000100102110.00%01919.8800003000050019.88100000.00%00000000
Statistiques d’équipe totales ou en moyenne1935881202622144721.43%829215.380000410000381153.62%6900000.5500000111
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
1Charlie LindgrenWolves (STL)11000.8671.9761002150000.00%010000
Statistiques d’équipe totales ou en moyenne11000.8671.976100215000010000


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
Alex BelzileWolves (STL)C/LW/RW311991-08-31No196 Lbs6 ft0NoNoNo2Pro & Farm700,000$680,822$700,000$680,822$0$0$No700,000$Lien
Alexander HoltzWolves (STL)RW202002-01-23Yes194 Lbs6 ft0NoNoNo2Pro & Farm1,775,000$1,726,370$925,000$899,658$0$0$No1,775,000$Lien
Austin PoganskiWolves (STL)RW261996-02-16No201 Lbs6 ft2NoNoNo4Pro & Farm750,000$729,452$750,000$729,452$0$0$No750,000$750,000$750,000$Lien
Boris KatchoukWolves (STL)LW241998-06-17No206 Lbs6 ft2NoNoNo1Pro & Farm894,166$869,668$894,166$869,668$0$0$NoLien
Caleb JonesWolves (STL)D251997-06-05No194 Lbs6 ft1NoNoNo4Pro & Farm850,000$826,712$850,000$826,712$0$0$No850,000$850,000$850,000$Lien
Cam York (sur la masse salariale)Wolves (STL)D212001-01-05No175 Lbs5 ft11NoNoNo2Pro & Farm1,308,333$1,272,488$1,308,333$1,272,488$0$0$Yes1,308,333$Lien
Cameron MorrisonWolves (STL)C/LW241998-08-27Yes210 Lbs6 ft3NoNoNo4Pro & Farm925,000$899,658$925,000$899,658$0$0$No925,000$925,000$925,000$
Charlie LindgrenWolves (STL)G281993-12-17No182 Lbs6 ft1YesNoNo3Pro & Farm1,000,000$972,603$1,000,000$972,603$0$0$No1,000,000$1,000,000$Lien
Dillon HeatheringtonWolves (STL)D271995-05-09Yes220 Lbs6 ft4NoNoNo3Pro & Farm750,000$729,452$750,000$729,452$0$0$No750,000$750,000$Lien
Dylan GambrellWolves (STL)C/RW261996-08-26No185 Lbs6 ft0NoNoNo4Pro & Farm1,100,000$1,069,863$1,100,000$1,069,863$0$0$No1,100,000$1,100,000$1,100,000$Lien
Glenn GawdinWolves (STL)C251997-03-25No191 Lbs6 ft1NoNoNo1Pro & Farm925,000$899,658$925,000$899,658$0$0$NoLien
Jake WalmanWolves (STL)D261996-02-20No170 Lbs6 ft1NoNoNo1Pro & Farm925,000$899,658$925,000$899,658$0$0$NoLien
Jakob PelletierWolves (STL)C/LW212001-03-07Yes181 Lbs5 ft10NoNoNo4Pro & Farm863,333$839,680$863,333$839,680$0$0$No863,333$863,333$863,333$
Jakub LaukoWolves (STL)C/LW/RW222000-03-28Yes170 Lbs6 ft0NoNoNo1Pro & Farm894,167$869,669$894,167$869,669$0$0$NoLien
Justin BarronWolves (STL)D202001-11-15Yes194 Lbs6 ft2NoNoNo2Pro & Farm1,158,333$1,126,598$450,000$437,671$0$0$No1,158,333$Lien
Kurtis MacDermidWolves (STL)D281994-03-25No233 Lbs6 ft5YesNoNo3Pro & Farm875,000$851,027$875,000$851,027$0$0$No875,000$875,000$Lien
Lukas DostalWolves (STL)G222000-06-22Yes174 Lbs6 ft2NoNoNo2Pro & Farm910,833$885,879$450,000$437,671$0$0$No910,833$Lien
Mackenzie EntwistleWolves (STL)RW231999-07-13No184 Lbs6 ft3NoNoNo1Pro & Farm894,167$869,669$894,167$869,669$0$0$NoLien
Mackenzie MacEachernWolves (STL)LW/RW281994-03-08No190 Lbs6 ft2NoNoNo1Pro & Farm750,000$729,452$750,000$729,452$0$0$NoLien
Matthew HighmoreWolves (STL)LW/RW261996-02-27No188 Lbs5 ft11NoNoNo3Pro & Farm725,000$705,137$725,000$705,137$0$0$No725,000$725,000$Lien
Niko MikkolaWolves (STL)D281994-04-27No185 Lbs6 ft4NoNoNo1Pro & Farm925,000$899,658$925,000$899,658$0$0$NoLien
Rafael Harvey-PinardWolves (STL)LW231999-01-06Yes183 Lbs5 ft9NoNoNo2Pro & Farm875,000$851,027$450,000$437,671$0$0$No875,000$Lien
Sam PoulinWolves (STL)LW/RW212001-02-25Yes214 Lbs6 ft2NoNoNo3Pro & Farm863,333$839,680$863,333$839,680$0$0$No863,333$863,333$Lien
Simon BenoitWolves (STL)D241998-09-19No191 Lbs6 ft3NoNoNo2Pro & Farm925,000$899,658$925,000$899,658$0$0$No925,000$Lien
Zachary EmondWolves (STL)G222000-06-20Yes181 Lbs6 ft3YesNoNo3Pro & Farm800,000$778,082$800,000$778,082$0$0$No800,000$800,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2524.44192 Lbs6 ft12.36934,467$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Boris KatchoukDylan GambrellMackenzie Entwistle35122
2Mackenzie MacEachernJakob PelletierAlexander Holtz30122
3Matthew HighmoreAlex BelzileSam Poulin25122
4Rafael Harvey-PinardGlenn GawdinAustin Poganski10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Caleb JonesNiko Mikkola35122
2Jake WalmanSimon Benoit30122
3Kurtis MacDermidJustin Barron25122
4Caleb JonesNiko Mikkola10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Boris KatchoukDylan GambrellMackenzie Entwistle60122
2Mackenzie MacEachernJakob PelletierAlexander Holtz40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Caleb JonesNiko Mikkola60122
2Jake WalmanSimon Benoit40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dylan GambrellMackenzie Entwistle60122
2Boris KatchoukMackenzie MacEachern40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Caleb JonesNiko Mikkola60122
2Jake WalmanSimon Benoit40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Dylan Gambrell60122Caleb JonesNiko Mikkola60122
2Mackenzie Entwistle40122Jake WalmanSimon Benoit40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dylan GambrellMackenzie Entwistle60122
2Boris KatchoukMackenzie MacEachern40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Caleb JonesNiko Mikkola60122
2Jake WalmanSimon Benoit40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Boris KatchoukDylan GambrellMackenzie EntwistleCaleb JonesNiko Mikkola
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Boris KatchoukDylan GambrellMackenzie EntwistleCaleb JonesNiko Mikkola
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cameron Morrison, Matthew Highmore, Rafael Harvey-PinardCameron Morrison, Matthew HighmoreRafael Harvey-Pinard
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kurtis MacDermid, Justin Barron, Jake WalmanKurtis MacDermidJustin Barron, Jake Walman
Tirs de pénalité
Dylan Gambrell, Mackenzie Entwistle, Boris Katchouk, Mackenzie MacEachern, Alexander Holtz
Gardien
#1 : Charlie Lindgren, #2 : Lukas Dostal
Lignes d’attaque personnalisées en prolongation
Dylan Gambrell, Mackenzie Entwistle, Boris Katchouk, Mackenzie MacEachern, Alexander Holtz, Matthew Highmore, Matthew Highmore, Rafael Harvey-Pinard, Jakob Pelletier, Alex Belzile, Sam Poulin
Lignes de défense personnalisées en prolongation
Caleb Jones, Niko Mikkola, Jake Walman, Simon Benoit, 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
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
1Rampage10001000321000000000001000100032121.0003580000211432811581226500.00%6183.33%0121963.16%152951.72%101855.56%2518227137
Total10001000321000000000001000100032121.0003580000211432811581226500.00%6183.33%0121963.16%152951.72%101855.56%2518227137
_Since Last GM Reset10001000321000000000001000100032121.0003580000211432811581226500.00%6183.33%0121963.16%152951.72%101855.56%2518227137
_Vs Conference10001000321000000000001000100032121.0003580000211432811581226500.00%6183.33%0121963.16%152951.72%101855.56%2518227137
_Vs Division10001000321000000000001000100032121.0003580000211432811581226500.00%6183.33%0121963.16%152951.72%101855.56%2518227137

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
12W135814158122600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
100100032
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
100100032
Derniers 10 matchs
WLOTWOTL SOWSOL
100000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
500.00%6183.33%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
32810021
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
121963.16%152951.72%101855.56%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2518227137


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
1 - 2022-10-098Wolves3Rampage2AWXSommaire du match
6 - 2022-10-1419Griffins-Wolves-
7 - 2022-10-1526Wolves-Rampage-
8 - 2022-10-1640Moose-Wolves-
9 - 2022-10-1749Wolves-Rampage-
12 - 2022-10-2062Griffins-Wolves-
13 - 2022-10-2167Wolves-IceHogs-
15 - 2022-10-2382Flames-Wolves-
16 - 2022-10-2494Wolves-Condors-
18 - 2022-10-26105Sound Tigers-Wolves-
21 - 2022-10-29119Griffins-Wolves-
22 - 2022-10-30122Wolves-Soldiers-
23 - 2022-10-31132Wolves-Stars-
25 - 2022-11-02145Wolves-Bruins-
26 - 2022-11-03154Monarchs-Wolves-
29 - 2022-11-06171Sound Tigers-Wolves-
32 - 2022-11-09187Sound Tigers-Wolves-
36 - 2022-11-13203Condors-Wolves-
41 - 2022-11-18222Rocket-Wolves-
43 - 2022-11-20235Wolves-Crunch-
45 - 2022-11-22244Senators-Wolves-
47 - 2022-11-24256Wolves-Condors-
48 - 2022-11-25265Wolves-Admirals-
49 - 2022-11-26270Rampage-Wolves-
51 - 2022-11-28286Wolves-Stars-
52 - 2022-11-29292Griffins-Wolves-
54 - 2022-12-01309Senators-Wolves-
56 - 2022-12-03322Wolves-Crunch-
58 - 2022-12-05331Soldiers-Wolves-
61 - 2022-12-08346Wolves-Monarchs-
62 - 2022-12-09353Monsters-Wolves-
65 - 2022-12-12369Wolves-Rampage-
66 - 2022-12-13376Sharks-Wolves-
67 - 2022-12-14387Wolves-Condors-
69 - 2022-12-16398Stars-Wolves-
72 - 2022-12-19411Wolves-IceHogs-
74 - 2022-12-21420Stars-Wolves-
75 - 2022-12-22432Wolves-Griffins-
76 - 2022-12-23443IceHogs-Wolves-
79 - 2022-12-26455Wolves-Moose-
80 - 2022-12-27463IceHogs-Wolves-
84 - 2022-12-31481Wolves-Crunch-
85 - 2023-01-01487Griffins-Wolves-
87 - 2023-01-03501Wolves-Wolf Pack-
88 - 2023-01-04508Moose-Wolves-
91 - 2023-01-07520Wolves-Sound Tigers-
93 - 2023-01-09531Soldiers-Wolves-
95 - 2023-01-11546Wolves-Phantoms-
98 - 2023-01-14552Flames-Wolves-
99 - 2023-01-15563Wolves-IceHogs-
102 - 2023-01-18575Moose-Wolves-
104 - 2023-01-20586Wolves-Bruins-
106 - 2023-01-22596Monarchs-Wolves-
109 - 2023-01-25613Wolves-Rampage-
110 - 2023-01-26620Rampage-Wolves-
112 - 2023-01-28630Wolves-Wolf Pack-
114 - 2023-01-30640Sharks-Wolves-
116 - 2023-02-01648Wolves-Griffins-
118 - 2023-02-03659Wolves-Stars-
119 - 2023-02-04667Flames-Wolves-
122 - 2023-02-07680Wolves-Soldiers-
124 - 2023-02-09685Penguins-Wolves-
125 - 2023-02-10691Wolves-Monarchs-
127 - 2023-02-12709Monarchs-Wolves-
128 - 2023-02-13715Wolves-Marlies-
130 - 2023-02-15721Wolves-Soldiers-
133 - 2023-02-18733Wolves-Penguins-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
134 - 2023-02-19742Penguins-Wolves-
139 - 2023-02-24759Admirals-Wolves-
141 - 2023-02-26772Wolves-Sharks-
143 - 2023-02-28776Admirals-Wolves-
144 - 2023-03-01780Wolves-Bruins-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
74,120$ 2,205,333$ 1,960,917$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 60,420$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 142 18,530$ 2,631,260$




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

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

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

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

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