Connexion

Wolves
GP: 80 | W: 49 | L: 21 | OTL: 10 | P: 108
GF: 356 | GA: 293 | PP%: 22.05% | PK%: 79.93%
DG: Eric Lamonde | Morale : 62 | Moyenne d’équipe : 63
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Centre de jeu
Bears
38-35-7, 83pts
2
FINAL
3 Wolves
49-21-10, 108pts
Team Stats
L1StreakL1
21-16-3Home Record27-9-4
17-19-4Away Record22-12-6
4-4-2Last 10 Games6-2-2
4.31Buts par match 4.45
4.24Buts contre par match 3.66
20.06%Pourcentage en avantage numérique22.05%
75.69%Pourcentage en désavantage numérique79.93%
Wolves
49-21-10, 108pts
5
FINAL
6 Marlies
43-28-9, 95pts
Team Stats
L1StreakW1
27-9-4Home Record20-16-4
22-12-6Away Record23-12-5
6-2-2Last 10 Games4-5-1
4.45Buts par match 4.19
3.66Buts contre par match 3.95
22.05%Pourcentage en avantage numérique22.30%
79.93%Pourcentage en désavantage numérique79.21%
Meneurs d'équipe
Buts
Alexandre Grenier
57
Passes
Kyle Rau
83
Points
Alexandre Grenier
130
Plus/Moins
Lawson Crouse
34
Victoires
Laurent Brossoit
36
Pourcentage d’arrêts
Laurent Brossoit
0.897

Statistiques d’équipe
Buts pour
356
4.45 GFG
Tirs pour
2744
34.30 Avg
Pourcentage en avantage numérique
22.0%
71 GF
Début de zone offensive
37.0%
Buts contre
293
3.66 GAA
Tirs contre
2644
33.05 Avg
Pourcentage en désavantage numérique
79.9%
59 GA
Début de la zone défensive
36.1%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,808
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)X100.007133757382827673727670737072634080720251995,000$
2Kyle Rau (R)X100.006821847167837574767571716760564080710241800,000$
3Sebastian Aho (R)X100.005633818060746078706973588948437369680191500,000$
4Lawson Crouse (R)X100.008144716974578374556873675250427680670191500,000$
5Thomas Spelling (R)X100.006131767767686978576268547049463680650232500,000$
6Victor Olofsson (R)X100.005528797272736873655974577145436580650202600,000$
7Antti Suomela (R)X100.007339677280637563636866536547476180640221500,000$
8Jake Evans (R)X100.006641727262646871727065536043435942640202500,000$
9Eric Robinson (R)X100.005430737063666664595874446547475561610211500,000$
10Matthew Highmore (R)X100.006821785666666866706965436543435875610201500,000$
11Liam O'Brien (R)X100.007656716779518552635953415447504770580222500,000$
12Fredrik Olofsson (R)X100.006842555865507364566655495142435380570201600,000$
13Wade Allison (R)X100.005229736159576463565569415843425880570192500,000$
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)X100.006930826566647068476655865249465380690211650,000$
20Jeff PetryX100.007243777472657063516759686563602468680292900,000$
21Jakub Zboril (R)X100.006641776967646665426860685243427045650191500,000$
22Jalen Chatfield (R)X100.007951646185735151306450654144447180650202500,000$
23Samuel Girard (R)X100.004927767456506073338254604640407663610182500,000$
24Kale Clague (R)X100.004633766756435274277245663640408243590182500,000$
25Dylan Coghlan (R)X100.005029815156586449336044643940407955560182500,000$
Rayé
1Joona Koppanen (R)X100.005731494961396347425646445040406620480182500,000$
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
1Laurent Brossoit100.00827273797871728373738757544577740231950,000$
2Ebbe Siönäs100.00487256615660667376685846445079630211500,000$
Rayé
1Sergei 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
1Alexandre GrenierWolves (Veg)RW8057731303360014011534712522516.43%31176322.0515264159270202717610256.72%4767943011.476150009142
2Kyle RauWolves (Veg)C804183124321801231712478817616.60%48174421.811325383526214572503454.09%20435546111.42215000767
3Sebastian AhoWolves (Veg)C78485199101401041423227518014.91%38144618.5461016262140333996349.86%14307228131.37210000873
4Lawson CrouseWolves (Veg)LW80394483349151441052146912818.22%57169821.241210223726421351144239.04%1463938030.9825001635
5Joe MorrowWolves (Veg)D781063732946011217521080944.76%116205326.32613193729003316237020.00%07167000.7100000314
6Thomas SpellingWolves (Veg)RW803134652126074702286614213.60%34104713.090334652023263151.02%495318001.2402000341
7Victor OlofssonWolves (Veg)RW80333063-122089902286115514.47%26116814.61581327159000023444.23%524920001.0824000224
8Jeffrey FossWolves (Veg)D77444483152014516914874902.70%128204126.524711292830117236000.00%03461000.4701000113
9Antti SuomelaWolves (Veg)C80221638133009448147458714.97%2585310.67000020000453345.90%3902618000.8901000133
10Anton LindholmWolves (Veg)D80529346140751308628455.81%113161220.1622482050111182100.00%01146000.4201000012
11Eric RobinsonWolves (Veg)LW72171633-3320945793216318.28%22120216.71639141960004812034.04%472013000.5500000121
12Jeff PetryWolves (Veg)D7641923730081897028455.71%94147019.3412351841012159110.00%02539000.3100000101
13Fredrik OlofssonWolves (Veg)LW80111021277201003451153221.57%1896512.071121250000223042.42%33513000.4400000111
14Jake EvansWolves (Veg)C5910818-1060444010237659.80%114617.8201128000010246.08%204168000.7800000003
15Matthew HighmoreWolves (Veg)C769615440272052132817.31%62993.9500005000032050.81%12464001.0000000111
16Wade AllisonWolves (Veg)RW805813-610016167827476.41%125927.4000001000000050.00%18174000.4400000000
17Samuel GirardWolves (Veg)D72010105401048281760.00%346368.8400003000039000.00%0213000.3100000000
18Jakub ZborilWolves (Veg)D59099-24015422413140.00%345449.23000124000027000.00%0613000.3300000000
19Jalen ChatfieldWolves (Veg)D8015615501063603321153.03%5586510.8200006000010000.00%0331000.1400011000
20Kale ClagueWolves (Veg)D7006678082313350.00%224866.9600031600009000.00%0014000.2500000000
21Kieffer BellowsWolves (Veg)LW80325-11804617266911.54%86488.1100001000020144.44%935000.1500000000
22Dylan CoghlanWolves (Veg)D64044132041510540.00%212964.640000000005000.00%017000.2700000000
23Liam O'BrienWolves (Veg)C71112-22011333133.33%2801.1400009000061041.67%2400000.4900000001
24Zachary SenyshynWolves (Veg)RW67011000120010.00%0410.62000020000300058.82%1700000.4800000000
25Kevin StenlundWolves (Veg)C67000000521200.00%0590.89000020001340069.57%2300000.0000000000
Statistiques d’équipe totales ou en moyenne186635157292325260515162516832761922165712.71%9552408312.9171111182288250981321561808422551.29%5085593549280.771454012444642
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)60361180.8973.373468021951889974520.684385818552
2Ebbe SiönäsWolves (Veg)2413920.8863.6513800084734399100.571142155000
3Sergei KostenkoWolves (Veg)10100.7899.60250041911000.000017000
Statistiques d’équipe totales ou en moyenne854921100.8933.4848740228326421384620.654528080552


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 AhoThomas Spelling30122
3Fredrik OlofssonAntti SuomelaVictor Olofsson20122
4Kieffer BellowsJake EvansWade Allison10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeffrey FossJoe Morrow40122
2Anton LindholmJeff Petry30122
3Jakub ZborilJalen Chatfield20122
4Samuel GirardKale Clague10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lawson CrouseKyle RauAlexandre Grenier60122
2Eric RobinsonSebastian AhoThomas Spelling40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeffrey FossJoe Morrow60122
2Anton LindholmJeff Petry40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kyle RauLawson Crouse60122
2Sebastian AhoEric Robinson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeffrey FossJoe Morrow60122
2Anton LindholmJeff Petry40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Kyle Rau60122Jeffrey FossJoe Morrow60122
2Sebastian Aho40122Anton LindholmJeff Petry40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kyle RauLawson Crouse60122
2Sebastian AhoEric Robinson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeffrey FossJoe Morrow60122
2Anton LindholmJeff Petry40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lawson CrouseKyle RauAlexandre GrenierJeffrey FossJoe Morrow
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lawson CrouseKyle RauAlexandre GrenierJeffrey FossJoe Morrow
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Thomas Spelling, Victor Olofsson, Antti SuomelaThomas Spelling, Victor OlofssonThomas Spelling
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Samuel Girard, Kale Clague, Dylan CoghlanSamuel GirardSamuel Girard, Kale Clague
Tirs de pénalité
Alexandre Grenier, Kyle Rau, Sebastian Aho, Lawson Crouse, Thomas Spelling
Gardien
#1 : Laurent Brossoit, #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
1Admirals211000009721010000024-21100000073420.5009142300108120118176192295484572771716326116.67%8187.50%0931187849.57%953183052.08%717136452.57%172496216957531458732
2Barracuda311000011113-21100000043120100001710-330.500111728001081201181711292295484572974524589333.33%13376.92%0931187849.57%953183052.08%717136452.57%172496216957531458732
3Bears9520000245351043100000191455210000226215120.66745761211010812011817325922954845723049572189551120.00%361169.44%3931187849.57%953183052.08%717136452.57%172496216957531458732
4Comets311010001174211000008531000100032140.6671116270110812011817979229548457210539204811218.18%11281.82%0931187849.57%953183052.08%717136452.57%172496216957531458732
5Condors403001001018-82010010069-32020000049-510.12510162600108120118171579229548457213543187817423.53%9277.78%0931187849.57%953183052.08%717136452.57%172496216957531458732
6Crunch3300000014772200000011651100000031261.0001423370010812011817112922954845727628226711327.27%11372.73%0931187849.57%953183052.08%717136452.57%172496216957531458732
7Devils641000013525103210000016142320000011911890.750355893001081201181720592295484572210666312122731.82%301066.67%0931187849.57%953183052.08%717136452.57%172496216957531458732
8Eagles3010200010100200020008621010000024-240.667101626001081201181794922954845726927165915213.33%9277.78%0931187849.57%953183052.08%717136452.57%172496216957531458732
9Griffins20100010911-2100000107611010000025-320.5009142300108120118176192295484572752416389555.56%9366.67%0931187849.57%953183052.08%717136452.57%172496216957531458732
10Heat20100001710-31000000123-11010000057-210.250712190010812011817739229548457283241250300.00%6266.67%1931187849.57%953183052.08%717136452.57%172496216957531458732
11Icehogs220000001046110000004131100000063341.00010182800108120118176092295484572682814448225.00%7185.71%0931187849.57%953183052.08%717136452.57%172496216957531458732
12Little Stars320000101912711000000624210000101310361.0001930490010812011817111922954845721223725666233.33%10190.00%1931187849.57%953183052.08%717136452.57%172496216957531458732
13Marlies301000111314-11000001043120100001911-230.50013203300108120118171119229548457210038126313538.46%6183.33%0931187849.57%953183052.08%717136452.57%172496216957531458732
14Monsters20100001510-51000000123-11010000037-410.250571200108120118177792295484572682810461119.09%5180.00%0931187849.57%953183052.08%717136452.57%172496216957531458732
15Moose311000101617-120100010911-21100000076140.6671623390010812011817959229548457210131284811436.36%14285.71%0931187849.57%953183052.08%717136452.57%172496216957531458732
16Penguins31200000131121010000034-121100000107320.33313233600108120118171049229548457210739215313215.38%80100.00%0931187849.57%953183052.08%717136452.57%172496216957531458732
17Phantoms22000000963110000005321100000043141.000914230010812011817689229548457274441846400.00%9188.89%1931187849.57%953183052.08%717136452.57%172496216957531458732
18Punishers302000101115-42010001078-11010000047-320.33311142500108120118171169229548457210047166315213.33%8187.50%0931187849.57%953183052.08%717136452.57%172496216957531458732
19Rampage42000110191452100010098121000010106470.8751931500010812011817136922954845721294432771815.56%15380.00%1931187849.57%953183052.08%717136452.57%172496216957531458732
20Reign220000001174110000005321100000064241.0001118290010812011817699229548457273258467114.29%4175.00%0931187849.57%953183052.08%717136452.57%172496216957531458732
21Rocket21100000853110000007251010000013-220.5008101800108120118176592295484572582824439222.22%12283.33%0931187849.57%953183052.08%717136452.57%172496216957531458732
22Senators21000010963100000104311100000053241.000912210010812011817679229548457264161640100.00%8362.50%0931187849.57%953183052.08%717136452.57%172496216957531458732
23Sound Tigers6410000126188321000001410432000001128490.750264470101081201181717792295484572181695012827518.52%25292.00%1931187849.57%953183052.08%717136452.57%172496216957531458732
24Thunderbirds3300000016971100000064222000000105561.0001628440010812011817112922954845728634266012541.67%13192.31%0931187849.57%953183052.08%717136452.57%172496216957531458732
25Wolfpack330000001028220000007161100000031261.00010152501108120118177992295484572822816499111.11%80100.00%0931187849.57%953183052.08%717136452.57%172496216957531458732
Total803921032783562936340209022521751363940191201026181157241080.6753565699252210812011817274492295484572264494459516123227122.05%2945979.93%8931187849.57%953183052.08%717136452.57%172496216957531458732
_Since Last GM Reset803921032783562936340209022521751363940191201026181157241080.6753565699252210812011817274492295484572264494459516123227122.05%2945979.93%8931187849.57%953183052.08%717136452.57%172496216957531458732
_Vs Conference49281003134229165642515602110114823224134010241158332730.745229374603221081201181716689229548457215715533799802144320.09%1843680.43%6931187849.57%953183052.08%717136452.57%172496216957531458732
_Vs Division21134000041067828107300000493811116100004574017300.7141061782842010812011817707922954845726952301854381042322.12%912374.73%4931187849.57%953183052.08%717136452.57%172496216957531458732

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
80108L135656992527442644944595161222
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8039213278356293
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
402092252175136
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4019121026181157
Derniers 10 matchs
WLOTWOTL SOWSOL
521002
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3227122.05%2945979.93%8
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
9229548457210812011817
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
931187849.57%953183052.08%717136452.57%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
172496216957531458732


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 - 2021-11-306Wolves1Bears2ALSommaire du match
5 - 2021-12-0421Bears4Wolves7BWSommaire du match
8 - 2021-12-0733Wolves4Sound Tigers1AWR1Sommaire du match
9 - 2021-12-0840Wolves4Bears5ALXXSommaire du match
10 - 2021-12-0950Sound Tigers3Wolves6BWR1Sommaire du match
14 - 2021-12-1366Devils7Wolves3BLSommaire du match
18 - 2021-12-1786Bears5Wolves3BLSommaire du match
21 - 2021-12-20103Wolves4Bears5ALXXSommaire du match
22 - 2021-12-21106Wolves8Devils2AWSommaire du match
26 - 2021-12-25126Eagles3Wolves4BWXSommaire du match
29 - 2021-12-28142Sound Tigers1Wolves4BWR1Sommaire du match
32 - 2021-12-31159Bears3Wolves6BWSommaire du match
35 - 2022-01-03175Wolves6Devils3AWSommaire du match
37 - 2022-01-05188Punishers2Wolves3BWXXSommaire du match
39 - 2022-01-07199Wolves7Little Stars5AWSommaire du match
41 - 2022-01-09216Devils2Wolves5BWSommaire du match
44 - 2022-01-12230Wolves8Penguins3AWSommaire du match
46 - 2022-01-14241Crunch2Wolves5BWSommaire du match
49 - 2022-01-17258Wolves4Rampage3AWXXSommaire du match
50 - 2022-01-18266Reign3Wolves5BWSommaire du match
54 - 2022-01-22285Wolves5Heat7ALSommaire du match
56 - 2022-01-24294Little Stars2Wolves6BWSommaire du match
58 - 2022-01-26308Wolves4Phantoms3AWSommaire du match
60 - 2022-01-28317Wolves5Devils6ALXXSommaire du match
61 - 2022-01-29324Thunderbirds4Wolves6BWSommaire du match
64 - 2022-02-01340Wolves3Comets2AWXSommaire du match
66 - 2022-02-03346Wolves4Punishers7ALSommaire du match
67 - 2022-02-04355Phantoms3Wolves5BWSommaire du match
70 - 2022-02-07372Wolves7Admirals3AWSommaire du match
72 - 2022-02-09381Icehogs1Wolves4BWSommaire du match
75 - 2022-02-12400Heat3Wolves2BLXXSommaire du match
77 - 2022-02-14409Wolves3Monsters7ALSommaire du match
79 - 2022-02-16419Wolves1Rocket3ALSommaire du match
81 - 2022-02-18429Senators3Wolves4BWXXSommaire du match
84 - 2022-02-21441Wolves7Moose6AWSommaire du match
87 - 2022-02-24457Moose5Wolves6BWXXSommaire du match
89 - 2022-02-26467Wolves2Penguins4ALSommaire du match
91 - 2022-02-28480Wolfpack1Wolves3BWSommaire du match
95 - 2022-03-04502Wolfpack0Wolves4BWSommaire du match
97 - 2022-03-06510Wolves7Bears5AWSommaire du match
101 - 2022-03-10529Marlies3Wolves4BWXXSommaire du match
103 - 2022-03-12535Wolves6Icehogs3AWSommaire du match
105 - 2022-03-14548Wolves2Eagles4ALSommaire du match
107 - 2022-03-16558Rampage2Wolves4BWSommaire du match
109 - 2022-03-18567Wolves5Senators3AWSommaire du match
112 - 2022-03-21584Penguins4Wolves3BLSommaire du match
116 - 2022-03-25597Wolves6Little Stars5AWXXSommaire du match
118 - 2022-03-27610Moose6Wolves3BLSommaire du match
121 - 2022-03-30627Wolves2Condors4ALSommaire du match
123 - 2022-04-01638Wolves10Bears4AWSommaire du match
124 - 2022-04-02641Comets0Wolves5BWSommaire du match
127 - 2022-04-05661Rampage6Wolves5BLXSommaire du match
131 - 2022-04-09681Wolves2Condors5ALSommaire du match
132 - 2022-04-10690Comets5Wolves3BLSommaire du match
136 - 2022-04-14714Griffins6Wolves7BWXXSommaire du match
139 - 2022-04-17730Wolves6Barracuda7ALXXSommaire du match
140 - 2022-04-18738Sound Tigers6Wolves4BLR1Sommaire du match
143 - 2022-04-21750Wolves3Sound Tigers4ALXXSommaire du match
145 - 2022-04-23762Wolves4Thunderbirds2AWSommaire du match
146 - 2022-04-24770Admirals4Wolves2BLSommaire du match
149 - 2022-04-27786Wolves3Crunch1AWSommaire du match
151 - 2022-04-29795Crunch4Wolves6BWSommaire du match
153 - 2022-05-01805Wolves3Wolfpack1AWSommaire du match
154 - 2022-05-02815Wolves2Griffins5ALSommaire du match
156 - 2022-05-04826Barracuda3Wolves4BWSommaire du match
159 - 2022-05-07840Wolves6Thunderbirds3AWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
161 - 2022-05-09853Condors5Wolves4BLXSommaire du match
165 - 2022-05-13873Rocket2Wolves7BWSommaire du match
167 - 2022-05-15885Wolves1Barracuda3ALSommaire du match
170 - 2022-05-18899Condors4Wolves2BLSommaire du match
175 - 2022-05-23920Eagles3Wolves4BWXSommaire du match
177 - 2022-05-25930Wolves4Marlies5ALXXSommaire du match
179 - 2022-05-27943Punishers6Wolves4BLSommaire du match
183 - 2022-05-31961Wolves6Reign4AWSommaire du match
184 - 2022-06-01971Wolves6Rampage3AWSommaire du match
186 - 2022-06-03982Devils5Wolves8BWSommaire du match
190 - 2022-06-07996Wolves5Sound Tigers3AWR1Sommaire du match
192 - 2022-06-091007Monsters3Wolves2BLXXSommaire du match
198 - 2022-06-151028Bears2Wolves3BWSommaire du match
199 - 2022-06-161035Wolves5Marlies6ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance74,97837,347
Assistance PCT93.72%93.37%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2808 - 93.60% 83,591$3,343,658$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,158,622$ 1,689,500$ 1,529,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,448$ 1,646,860$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 10,948$ 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