Connexion

Wolves
GP: 7 | W: 3 | L: 4
GF: 25 | GA: 29 | PP%: 25.81% | PK%: 89.29%
DG: Eric Lamonde | Morale : 31 | Moyenne d’équipe : 63
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Centre de jeu
Wolves
3-4-0, 6pts
3
FINAL
2 Rampage
4-7-0, 8pts
Team Stats
L1StreakL1
1-3-0Home Record1-4-0
2-1-0Away Record3-3-0
3-3-1Last 10 Games4-3-3
3.57Buts par match 3.27
4.14Buts contre par match 4.27
25.81%Pourcentage en avantage numérique7.69%
89.29%Pourcentage en désavantage numérique72.73%
Rampage
4-7-0, 8pts
4
FINAL
1 Wolves
3-4-0, 6pts
Team Stats
L1StreakL1
1-4-0Home Record1-3-0
3-3-0Away Record2-1-0
4-3-3Last 10 Games3-3-1
3.27Buts par match 3.57
4.27Buts contre par match 4.14
7.69%Pourcentage en avantage numérique25.81%
72.73%Pourcentage en désavantage numérique89.29%
Meneurs d'équipe
Buts
Sebastian Aho
5
Passes
Kyle Rau
6
Points
Kyle Rau
9
Plus/Moins
Thomas Spelling
3
Victoires
Laurent Brossoit
3
Pourcentage d’arrêts
Laurent Brossoit
0.887

Statistiques d’équipe
Buts pour
25
3.57 GFG
Tirs pour
229
32.71 Avg
Pourcentage en avantage numérique
25.8%
8 GF
Début de zone offensive
35.9%
Buts contre
29
4.14 GAA
Tirs contre
241
34.43 Avg
Pourcentage en désavantage numérique
89.3%
3 GA
Début de la zone défensive
36.9%
Informations de l'équipe

Directeur généralEric Lamonde
EntraîneurRon Wilson
DivisionMax-Sillig
ConférenceLouis-Magnus
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure20
Limite contact 49 / 250
Espoirs0


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
1Alexandre Grenier (R)X100.007133757382827673727670737072634079720251995,000$
2Kyle Rau (R)X100.006821847167837574767571716760564079710241800,000$
3Sebastian Aho (R)X100.005633818060746078706973588948437369680191500,000$
4Lawson Crouse (R)X100.008144716974578374556873675250427679670191500,000$
5Thomas Spelling (R)X100.006131767767686978576268547049463679650232500,000$
6Victor Olofsson (R)X100.005528797272736873655974577145436579650202600,000$
7Antti Suomela (R)X100.007339677280637563636866536547476179640221500,000$
8Jake Evans (R)X100.006641727262646871727065536043435942640202500,000$
9Eric Robinson (R)X100.005430737063666664595874446547475561610211500,000$
10Matthew Highmore (R)X100.006821785666666866706965436543435876610201500,000$
11Liam O'Brien (R)X100.007656716779518552635953415447504770580222500,000$
12Fredrik Olofsson (R)X100.006842555865507364566655495142435379570201600,000$
13Wade Allison (R)X100.005229736159576463565569415843425879570192500,000$
14Kevin Stenlund (R)X100.006131575370546060576155484944425163550201500,000$
15Kieffer Bellows (R)X100.005624764471626255585768346340407262550182500,000$
16Zachary Senyshyn (R)X100.004333716748545657595751476941416263540191500,000$
17Jeffrey FossX100.007332757472667173647164716272662577700281800,000$
18Joe Morrow (R)X100.006725747966687578477965715563554171700241600,000$
19Anton Lindholm (R)X100.006930826566647068476655865249465379690211650,000$
20Jeff PetryX100.007243777472657063516759686563602468680292900,000$
21Jakub Zboril (R)X100.006641776967646665426860685243427045650191500,000$
22Jalen Chatfield (R)X100.007951646185735151306450654144447179650202500,000$
23Kale Clague (R)X100.004633766756435274277245663640408243590182500,000$
24Dylan Coghlan (R)X100.005029815156586449336044643940407955560182500,000$
Rayé
1Joona Koppanen (R)X100.005731494961396347425646445040406620480182500,000$
2Samuel Girard (R)X100.004927767456506073338254604640407655610182500,000$
MOYENNE D’ÉQUIPE100.00633473666762676655666158584846576763
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
1Ebbe Siönäs100.00487256615660667376685846445079630211500,000$
Rayé
1Laurent Brossoit100.00827273797871728373738757544577740231950,000$
2Sergei Kostenko100.00726059617159625756607350492919610241500,000$
MOYENNE D’ÉQUIPE100.0067686367686367716867735149415866
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ron Wilson83816466557149USA571500,000$


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
1Kyle RauWolves (Veg)C7369-62015201841916.67%515722.541233240003250053.81%21072001.1400000200
2Joe MorrowWolves (Veg)D7268-560119206510.00%1017825.51134529000124000.00%044100.9000000000
3Alexandre GrenierWolves (Veg)RW7347-60012182551612.00%315321.901233240000210163.27%4974000.9100000001
4Sebastian AhoWolves (Veg)C7527-300982491320.83%311816.932244220000130047.50%8051001.1800000101
5Thomas SpellingWolves (Veg)RW7437300632671415.38%18311.90000030000210100.00%350001.6800000000
6Eric RobinsonWolves (Veg)LW7145-22014952420.00%211716.751122220000110033.33%322000.8500000010
7Jake EvansWolves (Veg)C714504053104910.00%17310.4800000000000058.06%3163001.3600000000
8Jeffrey FossWolves (Veg)D7134-58091411439.09%517625.25011229000023100.00%026000.4500000000
9Jeff PetryWolves (Veg)D7303-320715133123.08%1013719.71202418000019100.00%015000.4300000000
10Lawson CrouseWolves (Veg)LW7123-610011814877.14%514520.760223230000120022.22%921000.4100000000
11Victor OlofssonWolves (Veg)RW7022-44051417780.00%310214.58011020000000033.33%300000.3900000000
12Anton LindholmWolves (Veg)D7011-3006161220.00%414020.14000018000021000.00%006000.1400000000
13Antti SuomelaWolves (Veg)C7011-1207416180.00%1628.9500000000030052.17%2340000.3200000000
14Fredrik OlofssonWolves (Veg)LW710112013432433.33%07911.290000000001000.00%002000.2500000000
15Jalen ChatfieldWolves (Veg)D7011-160384210.00%9689.810000000000000.00%003000.2900000000
16Kale ClagueWolves (Veg)D7011120012310.00%1375.350000000002000.00%000000.5300000000
17Jakub ZborilWolves (Veg)D7000-200262320.00%77510.790000000007000.00%001000.0000000000
18Kevin StenlundWolves (Veg)C7000000010000.00%0101.5100000000090033.33%300000.0000000000
19Matthew HighmoreWolves (Veg)C7000000100000.00%040.580000100000000.00%000000.0000000000
20Zachary SenyshynWolves (Veg)RW7000000000000.00%000.040000000000000.00%000000.0000000000
21Samuel GirardWolves (Veg)D1000000010000.00%000.130000000000000.00%000000.0000000000
22Liam O'BrienWolves (Veg)C7000000000000.00%030.490000100000000.00%000000.0000000000
23Dylan CoghlanWolves (Veg)D7000100022100.00%0334.790000000000000.00%003000.0000000000
24Wade AllisonWolves (Veg)RW7000-2402212070.00%0547.750000000000000.00%000000.0000000000
25Kieffer BellowsWolves (Veg)LW7000-220014140.00%0547.73000000000000100.00%101000.0000000000
Statistiques d’équipe totales ou en moyenne169254065-455601381672297412810.92%70206812.24814222624200042003153.25%4154544100.6300000312
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
1Laurent BrossoitWolves (Veg)73210.8873.973930026231118000.000070002
2Ebbe SiönäsWolves (Veg)10100.7006.0030003104000.000007000
Statistiques d’équipe totales ou en moyenne83310.8804.114230029241122000.000077002


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 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
Alexandre GrenierWolves (Veg)RW251991-01-01Yes200 Lbs6 ft5NoNoNo1Pro & Farm995,000$0$0$No
Anton LindholmWolves (Veg)D211995-01-01Yes191 Lbs5 ft11NoNoNo1Pro & Farm650,000$0$0$No
Antti SuomelaWolves (Veg)C221994-01-01Yes180 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Dylan CoghlanWolves (Veg)D181998-01-01Yes190 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Ebbe SiönäsWolves (Veg)G211995-01-01No185 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Eric RobinsonWolves (Veg)LW211995-01-01Yes197 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Fredrik OlofssonWolves (Veg)LW201996-01-01Yes204 Lbs6 ft2NoNoNo1Pro & Farm600,000$0$0$No
Jake EvansWolves (Veg)C201996-01-01Yes188 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Jakub ZborilWolves (Veg)D191997-01-01Yes200 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Jalen ChatfieldWolves (Veg)D201996-01-01Yes187 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Jeff PetryWolves (Veg)D291987-01-01No196 Lbs6 ft3NoNoNo2Pro & Farm900,000$0$0$No900,000$
Jeffrey FossWolves (Veg)D281988-01-01No205 Lbs6 ft2NoNoNo1Pro & Farm800,000$0$0$No
Joe MorrowWolves (Veg)D241992-01-01Yes199 Lbs6 ft0NoNoNo1Pro & Farm600,000$0$0$No
Joona KoppanenWolves (Veg)C181998-01-01Yes205 Lbs6 ft5NoNoNo2Pro & Farm500,000$0$0$No500,000$
Kale ClagueWolves (Veg)D181998-01-01Yes176 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Kevin StenlundWolves (Veg)C201996-01-01Yes209 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$No
Kieffer BellowsWolves (Veg)LW181998-01-01Yes194 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Kyle RauWolves (Veg)C241992-01-01Yes178 Lbs5 ft8NoNoNo1Pro & Farm800,000$0$0$No
Laurent BrossoitWolves (Veg)G231993-01-01No202 Lbs6 ft3NoNoNo1Pro & Farm950,000$0$0$No
Lawson CrouseWolves (Veg)LW191997-01-01Yes220 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$No
Liam O'BrienWolves (Veg)C221994-01-01Yes214 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Matthew HighmoreWolves (Veg)C201996-01-01Yes188 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Samuel GirardWolves (Veg)D181998-01-01Yes170 Lbs5 ft10NoNoNo2Pro & Farm500,000$0$0$No500,000$
Sebastian AhoWolves (Veg)C191997-01-01Yes176 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Sergei KostenkoWolves (Veg)G241992-01-01No187 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Thomas SpellingWolves (Veg)RW231993-01-01Yes176 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Victor OlofssonWolves (Veg)RW201996-01-01Yes181 Lbs5 ft11NoNoNo2Pro & Farm600,000$0$0$No650,000$
Wade AllisonWolves (Veg)RW191997-01-01Yes205 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Zachary SenyshynWolves (Veg)RW191997-01-01Yes192 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2921.10193 Lbs6 ft11.41582,586$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lawson CrouseKyle RauAlexandre Grenier40122
2Eric RobinsonSebastian AhoVictor Olofsson30122
3Fredrik OlofssonJake EvansThomas Spelling20122
4Kieffer BellowsAntti SuomelaWade Allison10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joe MorrowJeffrey Foss40122
2Anton LindholmJeff Petry30122
3Jalen ChatfieldJakub Zboril20122
4Kale ClagueDylan Coghlan10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lawson CrouseKyle RauAlexandre Grenier60122
2Eric RobinsonSebastian AhoVictor Olofsson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joe MorrowJeffrey Foss60122
2Anton LindholmJeff Petry40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Alexandre GrenierKyle Rau60122
2Sebastian AhoLawson Crouse40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joe MorrowJeffrey Foss60122
2Anton LindholmJeff Petry40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Alexandre Grenier60122Joe MorrowJeffrey Foss60122
2Kyle Rau40122Anton LindholmJeff Petry40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alexandre GrenierKyle Rau60122
2Sebastian AhoLawson Crouse40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joe MorrowJeffrey Foss60122
2Anton LindholmJeff Petry40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lawson CrouseKyle RauAlexandre GrenierJoe MorrowJeffrey Foss
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lawson CrouseKyle RauAlexandre GrenierJoe MorrowJeffrey Foss
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Matthew Highmore, Liam O'Brien, Kevin StenlundMatthew Highmore, Liam O'BrienKevin Stenlund
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jalen Chatfield, Jakub Zboril, Kale ClagueJalen ChatfieldJakub Zboril, Kale Clague
Tirs de pénalité
Alexandre Grenier, Kyle Rau, Sebastian Aho, Lawson Crouse, Victor Olofsson
Gardien
#1 : , #2 : Ebbe Siönäs


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
1Rampage734000002529-4413000001318-5321000001211160.42925406500581022298568724241705613831825.81%28389.29%06714944.97%8715356.86%6711359.29%144821556912458
Total734000002529-4413000001318-5321000001211160.42925406500581022298568724241705613831825.81%28389.29%06714944.97%8715356.86%6711359.29%144821556912458
_Since Last GM Reset734000002529-4413000001318-5321000001211160.42925406500581022298568724241705613831825.81%28389.29%06714944.97%8715356.86%6711359.29%144821556912458
_Vs Conference734000002529-4413000001318-5321000001211160.42925406500581022298568724241705613831825.81%28389.29%06714944.97%8715356.86%6711359.29%144821556912458

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
76L1254065229241705613800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
73400002529
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41300001318
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
32100001211
Derniers 10 matchs
WLOTWOTL SOWSOL
132100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
31825.81%28389.29%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
856872458102
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
6714944.97%8715356.86%6711359.29%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
144821556912458


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 - 2021-11-305Rampage2Wolves4BWSommaire du match
2 - 2021-12-0113Rampage7Wolves4BLSommaire du match
3 - 2021-12-0221Wolves7Rampage6AWXSommaire du match
4 - 2021-12-0329Wolves2Rampage3ALSommaire du match
5 - 2021-12-0437Rampage5Wolves4BLXSommaire du match
6 - 2021-12-0545Wolves3Rampage2AWXSommaire du match
7 - 2021-12-0653Rampage4Wolves1BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
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
36 3000 - 100.00% 89,250$357,000$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,689,500$ 1,529,500$ 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

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