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Wranglers
GP: 35 | W: 20 | L: 12 | OTL: 3 | P: 43
GF: 119 | GA: 108 | PP%: 13.27% | PK%: 80.39%
DG: Guy Brisson | Morale : 58 | Moyenne d’équipe : 63
Prochains matchs #573 vs Moose
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Centre de jeu
Wranglers
20-12-3, 43pts
3
FINAL
5 Checkers
25-9-2, 52pts
Team Stats
W1SéquenceW3
11-6-1Fiche domicile12-3-2
9-6-2Fiche domicile13-6-0
6-4-0Derniers 10 matchs7-2-1
3.40Buts par match 3.75
3.09Buts contre par match 3.06
13.27%Pourcentage en avantage numérique25.21%
80.39%Pourcentage en désavantage numérique80.68%
Marlies
17-14-5, 39pts
3
FINAL
7 Wranglers
20-12-3, 43pts
Team Stats
L1SéquenceW1
9-5-3Fiche domicile11-6-1
8-9-2Fiche domicile9-6-2
6-4-0Derniers 10 matchs6-4-0
3.53Buts par match 3.40
3.61Buts contre par match 3.09
17.14%Pourcentage en avantage numérique13.27%
84.92%Pourcentage en désavantage numérique80.39%
Wranglers
20-12-3, 43pts
2024-11-21
Moose
19-16-2, 40pts
Statistiques d’équipe
W1SéquenceW1
11-6-1Fiche domicile10-6-1
9-6-2Fiche visiteur9-10-1
6-4-010 derniers matchs4-5-1
3.40Buts par match 3.38
3.09Buts contre par match 3.38
13.27%Pourcentage en avantage numérique18.52%
80.39%Pourcentage en désavantage numérique77.44%
Wranglers
20-12-3, 43pts
2024-11-23
Thunderbirds
14-20-1, 29pts
Statistiques d’équipe
W1SéquenceW1
11-6-1Fiche domicile8-10-0
9-6-2Fiche visiteur6-10-1
6-4-010 derniers matchs4-6-0
3.40Buts par match 2.89
3.09Buts contre par match 2.89
13.27%Pourcentage en avantage numérique20.83%
80.39%Pourcentage en désavantage numérique82.03%
Silver Knights
19-14-1, 39pts
2024-11-24
Wranglers
20-12-3, 43pts
Statistiques d’équipe
W1SéquenceW1
10-8-0Fiche domicile11-6-1
9-6-1Fiche visiteur9-6-2
8-1-110 derniers matchs6-4-0
3.35Buts par match 3.40
3.24Buts contre par match 3.40
22.02%Pourcentage en avantage numérique13.27%
76.00%Pourcentage en désavantage numérique80.39%
Meneurs d'équipe
Buts
Rasmus Asplund
17
Passes
Alan Quine
18
Points
Rasmus Asplund
31
Plus/Moins
Alan Quine
17
Victoires
Calvin Petersen
16
Pourcentage d’arrêts
Laurent Brossoit
0.947

Statistiques d’équipe
Buts pour
119
3.40 GFG
Tirs pour
1081
30.89 Avg
Pourcentage en avantage numérique
13.3%
15 GF
Début de zone offensive
41.5%
Buts contre
108
3.09 GAA
Tirs contre
1020
29.14 Avg
Pourcentage en désavantage numérique
80.4%%
20 GA
Début de la zone défensive
39.1%
Informations de l'équipe

Directeur généralGuy Brisson
EntraîneurBrent Sutter
DivisionDivision Nord-Ouest
ConférenceConference 2
CapitaineAlan Quine
Assistant #1Carl Grundstrom
Assistant #2Adam Gaudette


Informations de l’aréna

Capacité3,000
Assistance2,300
Billets de saison300


Informations de la formation

Équipe Pro33
Équipe Mineure18
Limite contact 51 / 56
Espoirs24


Historique d'équipe

Saison actuelle20-12-3 (43PTS)
Historique56-52-7 (0.487%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)0-0
Coupe Stanley0


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
1Adam Gaudette (A)XX100.0063548477717688717174727470735461736702811,800,000$
2Rasmus AsplundXX99.0062459579707277747071747168645364716702622,000,000$
3Carl Grundstrom (A)XX100.0075459075737887726672726971604964636702622,000,000$
4Alan Quine (C)X100.0059409672736985697469707765695549686603112,000,000$
5Jeffrey VielXX100.008046607471737874636971756856496173650271900,000$
6Ryan MacinnisX100.0063509373747174726970677065645059656502821,800,000$
7Maksim SushkoXX100.006445927471737473687169726454506667650251750,000$
8Liam O'BrienX100.0087455673736873716769677063544756746303011,000,000$
9Chris BrownXX100.006446947074808069616567696548454272630332850,000$
10Kristopher FoucaultXX100.007056826872707768636667666448464260620331800,000$
11Alex BelzileXXX100.006450827171707068576765685556514642620332900,000$
12Eetu TuulolaXX100.007457667073677368666767656050466063620261750,000$
13Austin StrandX100.0070458473767574734566647456544664486502721,300,000$
14Samuel MorinX100.0073528372737163764566667454584756666502921,300,000$
15Oliver KylingtonX100.0064458875717473694569647060644764596502721,300,000$
16Jake WalmanX100.0067458072687476724572706960584854426402811,100,000$
17Adam Ginning (R)X100.006955757271757568456766765948457045640243750,000$
Rayé
1Fredrik ForsbergXX100.006150887670727066626163696057506033620271800,000$
2Brandon McmillanXXX100.006145916969737566706363696261493820620341800,000$
3Tanner FritzXX100.006045977070716769626469736650464720620331800,000$
4Yannick VeilleuxXX100.0062499070737067706165646960454550196103121,000,000$
5Tye McGinnXX100.005945967073676668616364706355474220610341800,000$
6Sergey AndronovX100.005943977073706967666465686347453830610351800,000$
7Markus NutivaaraX68.1260429470727589734575726960795450566603013,500,000$
8Joe MorrowX100.0063489470727570694566676965594850506403121,650,000$
9Julian MelchioriX79.8360459770748080694566656963494546356403221,000,000$
10Andrew WelinskiX100.006044946974717368456767676453455020630311900,000$
11Joseph CecconiX100.006845847072726862456364655649466020610272700,000$
12Joni TuulolaX100.006347907071736756456258665749465419600281500,000$
MOYENNE D’ÉQUIPE98.14664787727273746958676770625648544864
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
1Calvin Petersen100.008079777781758177788187616356646503032,000,000$
2Laurent Brossoit100.00695050807074827879827265665047630311800,000$
Rayé
1Charlie Lindgren100.00695050767072807677807162645342610302700,000$
2Criss de peewee100.005050505050505050505050505050414301111,000,000$
MOYENNE D’ÉQUIPE100.0067575771686873707173706061524958
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Brent Sutter77806564999942CAN614100,000$


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
1Rasmus AsplundWranglers (Cal)LW/RW3517143116204133113368215.04%556916.262461686000013060.00%4500011.0912000342
2Alan QuineWranglers (Cal)C351118291760266472174815.28%1054415.57000001015761156.98%70900001.0600000312
3Adam GaudetteWranglers (Cal)LW/RW35141327440334293178015.05%859517.0112314100000163042.86%7000000.9115000201
4Liam O'BrienWranglers (Cal)C351112230120674090104412.22%556716.222241484000032047.85%74400000.8105000211
5Ryan MacinnisWranglers (Cal)C356172322015557818467.69%357916.5617818100000000249.45%72400000.7923000121
6Samuel MorinWranglers (Cal)D35517228315413247162710.64%4373020.892352685000069010%000000.6000001010
7Maksim SushkoWranglers (Cal)LW/RW35616221720044337725517.79%563118.0502211860003711150.82%6100000.7000000031
8Jeffrey VielWranglers (Cal)LW/RW351110211235343994204911.70%856516.17000040002730157.50%4000000.7400001013
9Markus NutivaaraWranglers (Cal)D33614207140302543103013.95%4268620.802351989011050210%000000.5800000022
10Carl GrundstromWranglers (Cal)LW/RW299716280502482244510.98%449617.133031581000001048.28%2900000.6434000121
11Chris BrownWranglers (Cal)LW/RW356915-4000285483711.11%448113.7600000000001253.49%4300000.6200000100
12Adam GinningWranglers (Cal)D251121392153618116109.09%2545718.3000005000029000%000000.5700001110
13Oliver KylingtonWranglers (Cal)D3539128200432726151611.54%3375221.502241494000171020%000000.3200000001
14Kristopher FoucaultWranglers (Cal)LW/RW34088-4261017215117410%735510.44000110000180032.50%4000000.4500011000
15Austin StrandWranglers (Cal)D2217851401623278223.70%1844220.12011754000018100%000000.3600000000
16Joe MorrowWranglers (Cal)D23268-84015181361415.38%2343719.0400004000034100%000000.3700000000
17Alex BelzileWranglers (Cal)C/LW/RW27336-4175727388227.89%833412.38000000001691039.79%38700000.3600100010
18Jake WalmanWranglers (Cal)D16044-512028814680%1532520.35000238000013000%000000.2500000000
19Julian MelchioriWranglers (Cal)D21044310011156040%3038718.4700001000040000%000000.2100000000
20Eetu TuulolaWranglers (Cal)LW/RW30134-327543113210353.13%132910.98000317000000048.00%2500000.2401010000
21Sergey AndronovWranglers (Cal)C7202-100010143814.29%08111.6300000000060044.94%8900000.4900000000
22Fredrik ForsbergWranglers (Cal)LW/RW12101-2002462316.67%0524.410000000000000%100000.3800000000
Statistiques d’équipe totales ou en moyenne6291162033196827335599597108128272210.73%2971040616.5515264116093811213656171149.38%300700010.61720124141915
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
1Calvin PetersenWranglers (Cal)31161030.8913.09167222867900010.60015278112
2Laurent BrossoitWranglers (Cal)62000.9471.6222200611400000311100
3Criss de peeweeWranglers (Cal)21000.8923.5867004370001.000427000
4Charlie LindgrenWranglers (Cal)31200.8853.21168009780000039000
Statistiques d’équipe totales ou en moyenne42201230.8972.962130221051019001193535212


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Plafond salarial Non Activé 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 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Adam GaudetteWranglers (Cal)LW/RW281996-10-03No170 Lbs6 ft2NoNoN/ANoNo12024-05-29Pro & Farm1,800,000$0$0$No------------------Lien
Adam GinningWranglers (Cal)D242000-01-13Yes196 Lbs6 ft3NoNoTrade (Prospect)NoNo32024-06-18Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Alan QuineWranglers (Cal)C311993-02-25No200 Lbs6 ft0NoNoN/ANoNo1Pro & Farm2,000,000$0$0$No------------------Lien
Alex BelzileWranglers (Cal)C/LW/RW331991-08-31No195 Lbs6 ft0NoNoFree AgentNoNo22024-07-22Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Andrew WelinskiWranglers (Cal)D311993-04-27No212 Lbs6 ft2NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Austin StrandWranglers (Cal)D271997-04-17No216 Lbs6 ft4NoNoN/ANoNo22024-05-29Pro & Farm1,300,000$0$0$No1,300,000$--------No--------Lien
Brandon McmillanWranglers (Cal)C/LW/RW341990-03-22No189 Lbs5 ft10NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Calvin PetersenWranglers (Cal)G301994-10-19No185 Lbs6 ft2NoNoFree AgentNoNo32024-07-07Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------NoNo-------Lien
Carl GrundstromWranglers (Cal)LW/RW261997-12-01No201 Lbs6 ft0NoNoN/ANoNo22024-05-29Pro & Farm2,000,000$0$0$No2,000,000$--------No--------Lien
Charlie LindgrenWranglers (Cal)G301993-12-18No179 Lbs6 ft2NoNoFree AgentNoNo22024-08-20Pro & Farm700,000$0$0$No700,000$--------No--------Lien
Chris BrownWranglers (Cal)LW/RW331991-02-03No213 Lbs6 ft2NoNoFree AgentNoNo22024-08-20Pro & Farm850,000$0$0$No850,000$--------No--------Lien
Criss de peeweeWranglers (Cal)G112013-10-05 07:00:24No150 Lbs5 ft10NoNoFree AgentNoNo12024-10-04Pro & Farm1,000,000$0$0$No------------------
Eetu TuulolaWranglers (Cal)LW/RW261998-03-17No225 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Fredrik ForsbergWranglers (Cal)LW/RW271996-12-12No185 Lbs5 ft11NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Jake WalmanWranglers (Cal)D281996-02-20No170 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,100,000$0$0$No------------------Lien
Jeffrey VielWranglers (Cal)LW/RW271997-01-28No195 Lbs6 ft0NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Joe MorrowWranglers (Cal)D311992-12-09No207 Lbs6 ft0NoNoFree AgentNoNo22024-07-07Pro & Farm1,650,000$0$0$No1,650,000$--------No--------Lien
Joni TuulolaWranglers (Cal)D281996-01-01No198 Lbs6 ft3NoNoN/ANoNo12024-05-29Pro & Farm500,000$0$0$No------------------Lien
Joseph CecconiWranglers (Cal)D271997-03-23No209 Lbs6 ft3NoNoN/ANoNo22024-05-29Pro & Farm700,000$0$0$No700,000$--------No--------Lien
Julian Melchiori (sur la masse salariale)Wranglers (Cal)D321991-12-06No218 Lbs6 ft3NoNoFree AgentNoNo22024-08-26Pro & Farm1,000,000$0$0$Yes1,000,000$--------No--------Lien
Kristopher FoucaultWranglers (Cal)LW/RW331990-12-12No202 Lbs6 ft0NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Laurent BrossoitWranglers (Cal)G311993-03-23No203 Lbs6 ft3NoNoTrade2024-08-18NoNo12024-07-28Pro & Farm800,000$0$0$No------------------Lien
Liam O'BrienWranglers (Cal)C301994-07-29No213 Lbs6 ft1NoNoTrade2024-08-18NoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Maksim SushkoWranglers (Cal)LW/RW251999-02-10No198 Lbs6 ft0NoNoTrade2024-07-27NoNo1Pro & Farm750,000$0$0$No------------------Lien
Markus Nutivaara (sur la masse salariale)Wranglers (Cal)D301994-06-06No191 Lbs6 ft1NoNoN/ANoNo1Pro & Farm3,500,000$0$0$Yes------------------Lien
Oliver KylingtonWranglers (Cal)D271997-05-19No181 Lbs6 ft0NoNoN/ANoNo22024-05-29Pro & Farm1,300,000$0$0$No1,300,000$--------No--------Lien
Rasmus AsplundWranglers (Cal)LW/RW261997-12-03No189 Lbs5 ft11NoNoTrade2024-01-03NoNo22024-05-29Pro & Farm2,000,000$0$0$No2,000,000$--------No--------Lien
Ryan MacinnisWranglers (Cal)C281996-02-14No201 Lbs6 ft4NoNoFree AgentNoNo22024-07-02Pro & Farm1,800,000$0$0$No1,800,000$--------No--------Lien
Samuel MorinWranglers (Cal)D291995-07-12No202 Lbs6 ft6NoNoN/ANoNo22024-05-29Pro & Farm1,300,000$0$0$No1,300,000$--------No--------Lien
Sergey AndronovWranglers (Cal)C351989-07-19No207 Lbs6 ft2NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Tanner FritzWranglers (Cal)LW/RW331991-08-20No192 Lbs5 ft11NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Tye McGinnWranglers (Cal)LW/RW341990-07-29No205 Lbs6 ft3NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Yannick VeilleuxWranglers (Cal)LW/RW311993-02-22No205 Lbs6 ft2NoNoFree AgentNoNo22024-01-03Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3328.97197 Lbs6 ft11.521,183,333$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adam GaudetteRyan MacinnisCarl Grundstrom27023
2Rasmus AsplundAlan QuineMaksim Sushko27122
3Jeffrey VielLiam O'BrienChris Brown26122
4Eetu TuulolaAlex BelzileKristopher Foucault20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake WalmanOliver Kylington33023
2Austin StrandSamuel Morin33122
3Adam Ginning33122
4Jake WalmanOliver Kylington1032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adam GaudetteRyan MacinnisCarl Grundstrom52014
2Rasmus AsplundLiam O'BrienMaksim Sushko48113
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake WalmanOliver Kylington52023
2Austin StrandSamuel Morin48023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Alan QuineMaksim Sushko50041
2Alex BelzileJeffrey Viel50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Samuel MorinJake Walman50131
2Oliver Kylington50131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Alan Quine50041Samuel MorinOliver Kylington50131
2Jeffrey Viel50041Jake WalmanAustin Strand50041
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ryan MacinnisChris Brown50023
2Alex BelzileMaksim Sushko50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Oliver KylingtonSamuel Morin50023
2Jake WalmanAdam Ginning50032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adam GaudetteRyan MacinnisCarl GrundstromJake WalmanOliver Kylington
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jeffrey VielAlan QuineRasmus AsplundSamuel MorinAdam Ginning
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alex Belzile, Jeffrey Viel, Chris BrownJeffrey Viel, Liam O'BrienKristopher Foucault
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Oliver Kylington, Adam GinningAdam GinningSamuel Morin, Jake Walman
Tirs de pénalité
Adam Gaudette, Liam O'Brien, Eetu Tuulola, Ryan Macinnis, Rasmus Asplund
Gardien
#1 : Calvin Petersen, #2 : Laurent Brossoit


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
1Admirals3020100079-21010000024-22010100055020.333713200037413411823553253814085254944600.00%9277.78%1611123449.51%581116150.04%29357750.78%837573828263467232
2Americans320000101551032000010155100000000000061.0001522370137413411147355325381409039205810330.00%9188.89%0611123449.51%581116150.04%29357750.78%837573828263467232
3Barracuda321000001091110000003212110000077040.6671018280037413411913553253814077146507114.29%2150.00%0611123449.51%581116150.04%29357750.78%837573828263467232
4Canucks11000000422000000000001100000042221.00047110037413411203553253814033111014400.00%5180.00%0611123449.51%581116150.04%29357750.78%837573828263467232
5Checkers1010000035-2000000000001010000035-200.0003580037413411233553253814030710262150.00%5180.00%0611123449.51%581116150.04%29357750.78%837573828263467232
6Condors32100000121022110000067-11100000063340.6671222340037413411963553253814010224225413215.38%11463.64%0611123449.51%581116150.04%29357750.78%837573828263467232
7Eagles2010001057-2100000104311010000014-320.50058130037413411463553253814052191835500.00%8187.50%0611123449.51%581116150.04%29357750.78%837573828263467232
8Griffins1010000035-21010000035-20000000000000.000347003741341126355325381403014818200.00%40100.00%0611123449.51%581116150.04%29357750.78%837573828263467232
9Gulls210010001055110000004041000100065141.00010172701374134116635532538140501615257114.29%4175.00%0611123449.51%581116150.04%29357750.78%837573828263467232
10Icehogs31100010121202010001078-11100000054140.6671217290037413411873553253814097221552900.00%50100.00%0611123449.51%581116150.04%29357750.78%837573828263467232
11Marlies11000000734110000007340000000000021.0007132000374134114235532538140257411300.00%20100.00%0611123449.51%581116150.04%29357750.78%837573828263467232
12Monsters10001000211000000000001000100021121.0002460037413411183553253814037710193133.33%50100.00%0611123449.51%581116150.04%29357750.78%837573828263467232
13PenguinsF11000000541000000000001100000054121.0005101500374134112835532538140251023103133.33%4175.00%0611123449.51%581116150.04%29357750.78%837573828263467232
14Reign3010100179-22010100045-11000000134-130.5007132000374134119735532538140892622488112.50%11281.82%0611123449.51%581116150.04%29357750.78%837573828263467232
15Silver Knights21000001880000000000002100000188030.75081321003741341167355325381406616194216212.50%6350.00%0611123449.51%581116150.04%29357750.78%837573828263467232
16StarsF2010010058-31000010045-11010000013-210.2505101500374134114035532538140641812386116.67%6183.33%0611123449.51%581116150.04%29357750.78%837573828263467232
17Thunderbirds2110000045-12110000045-10000000000020.50047111037413411743553253814047176406116.67%3166.67%0611123449.51%581116150.04%29357750.78%837573828263467232
18Wolves1010000001-1000000000001010000001-100.00000000374134113135532538140215615300.00%30100.00%0611123449.51%581116150.04%29357750.78%837573828263467232
Total351312041321191081118760113063521117660300256560430.614119203322123741341110813553253814010202972755991131513.27%1022080.39%1611123449.51%581116150.04%29357750.78%837573828263467232
_Since Last GM Reset351312041321191081118760113063521117660300256560430.614119203322123741341110813553253814010202972755991131513.27%1022080.39%1611123449.51%581116150.04%29357750.78%837573828263467232
_Vs Conference28910041228990-11446011204144-314540300248462330.58989153242113741341181035532538140829229212479921010.87%791778.48%1611123449.51%581116150.04%29357750.78%837573828263467232
_Vs Division1442000115143861100010171438310000134295110.39351901410137413411437355325381404171079423355712.73%391269.23%0611123449.51%581116150.04%29357750.78%837573828263467232

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3543W11192033221081102029727559912
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3513124132119108
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
187611306352
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
176630025656
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1131513.27%1022080.39%1
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
3553253814037413411
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
611123449.51%581116150.04%29357750.78%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
837573828263467232


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 - 2024-09-032Americans0Wranglers4BWSommaire du match
4 - 2024-09-0628Wranglers5Icehogs4AWSommaire du match
7 - 2024-09-0949Icehogs5Wranglers6BWXXSommaire du match
10 - 2024-09-1269Griffins5Wranglers3BLSommaire du match
12 - 2024-09-1484Wranglers6Gulls5AWXSommaire du match
13 - 2024-09-1597Wranglers2Monsters1AWXSommaire du match
15 - 2024-09-17112Condors2Wranglers3BWSommaire du match
18 - 2024-09-20131Wranglers3Admirals2AWXSommaire du match
20 - 2024-09-22144Admirals4Wranglers2BLSommaire du match
22 - 2024-09-24161Wranglers4Silver Knights5ALXXSommaire du match
24 - 2024-09-26173Wranglers1Eagles4ALSommaire du match
26 - 2024-09-28185Eagles3Wranglers4BWXXSommaire du match
28 - 2024-09-30205StarsF5Wranglers4BLXSommaire du match
30 - 2024-10-02218Wranglers1StarsF3ALSommaire du match
32 - 2024-10-04231Wranglers3Reign4ALXXSommaire du match
34 - 2024-10-06245Wranglers4Canucks2AWSommaire du match
36 - 2024-10-08254Barracuda2Wranglers3BWSommaire du match
38 - 2024-10-10271Wranglers0Wolves1ALSommaire du match
40 - 2024-10-12284Americans4Wranglers5BWXXSommaire du match
43 - 2024-10-15308Reign2Wranglers3BWXSommaire du match
46 - 2024-10-18331Condors5Wranglers3BLSommaire du match
49 - 2024-10-21347Wranglers5PenguinsF4AWSommaire du match
51 - 2024-10-23364Reign3Wranglers1BLSommaire du match
54 - 2024-10-26388Americans1Wranglers6BWSommaire du match
56 - 2024-10-28402Wranglers2Admirals3ALSommaire du match
58 - 2024-10-30413Wranglers6Condors3AWSommaire du match
60 - 2024-11-01423Wranglers3Barracuda2AWSommaire du match
62 - 2024-11-03438Icehogs3Wranglers1BLSommaire du match
64 - 2024-11-05456Wranglers4Silver Knights3AWSommaire du match
66 - 2024-11-07469Thunderbirds2Wranglers0BLSommaire du match
69 - 2024-11-10488Wranglers4Barracuda5ALSommaire du match
71 - 2024-11-12503Gulls0Wranglers4BWSommaire du match
74 - 2024-11-15521Thunderbirds3Wranglers4BWSommaire du match
76 - 2024-11-17536Wranglers3Checkers5ALSommaire du match
78 - 2024-11-19553Marlies3Wranglers7BWSommaire du match
80 - 2024-11-21573Wranglers-Moose-
82 - 2024-11-23583Wranglers-Thunderbirds-
83 - 2024-11-24594Silver Knights-Wranglers-
86 - 2024-11-27614Wranglers-Thunderbirds-
87 - 2024-11-28627Gulls-Wranglers-
90 - 2024-12-01648Wranglers-Roadrunners-
91 - 2024-12-02659Bears-Wranglers-
94 - 2024-12-05680Wranglers-Reign-
96 - 2024-12-07688Wranglers-StarsF-
97 - 2024-12-08697Phantoms-Wranglers-
100 - 2024-12-11717Wranglers-Monsters-
101 - 2024-12-12730Eagles-Wranglers-
105 - 2024-12-16755Barracuda-Wranglers-
109 - 2024-12-20781Iowa Wild-Wranglers-
113 - 2024-12-24808Canucks-Wranglers-
117 - 2024-12-28838Silver Knights-Wranglers-
119 - 2024-12-30857Wranglers-Eagles-
120 - 2024-12-31867Canucks-Wranglers-
124 - 2025-01-04889Wranglers-Rocket-
125 - 2025-01-05903Comets-Wranglers-
127 - 2025-01-07922Wranglers-Wolves-
129 - 2025-01-09934Firebirds-Wranglers-
132 - 2025-01-12952Wranglers-Crunch-
133 - 2025-01-13965Wranglers-Gulls-
135 - 2025-01-15973Wolf Pack-Wranglers-
138 - 2025-01-18997Iowa Wild-Wranglers-
139 - 2025-01-191009Wranglers-BruinsF-
141 - 2025-01-211027StarsF-Wranglers-
143 - 2025-01-231037Wranglers-Roadrunners-
145 - 2025-01-251050Wranglers-Islanders-
147 - 2025-01-271065Griffins-Wranglers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2025-01-301093Roadrunners-Wranglers-
152 - 2025-02-011108Wranglers-Islanders-
154 - 2025-02-031119Wranglers-Condors-
155 - 2025-02-041127Admirals-Wranglers-
157 - 2025-02-061139Wranglers-Iowa Wild-
160 - 2025-02-091158Roadrunners-Wranglers-
161 - 2025-02-101162Wranglers-Griffins-
164 - 2025-02-131189SenatorsF-Wranglers-
169 - 2025-02-181221Wolves-Wranglers-
172 - 2025-02-211235Wranglers-Icehogs-
173 - 2025-02-221241Wranglers-Canucks-
176 - 2025-02-251257Monsters-Wranglers-
177 - 2025-02-261262Wranglers-Iowa Wild-
180 - 2025-03-011287Monsters-Wranglers-
181 - 2025-03-021292Wranglers-Griffins-
183 - 2025-03-041305Wranglers-Icehogs-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3617
Assistance27,56413,840
Assistance PCT76.57%76.89%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
23 2300 - 76.67% 101,617$1,829,100$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,656,197$ 3,455,000$ 3,455,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,613,492$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,337,183$ 106 19,216$ 2,036,896$




Wranglers Leaders statistiques des joueurs (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
1Jeffrey Viel117385795187422311531112.22%23183415.68516214500021250.00%11.0401
2Markus Nutivaara1151760777286910116410.37%113235020.4481321770110230%00.6600
3Samuel Morin111135063191061589811211.61%128218219.66459420331010%00.5800
4Kirill Marchenko7329316058256819814.65%10121516.66510153800005140.56%00.9901
5Joel Kellman8126224820217711519013.68%14126015.5776133900007051.30%00.7600

Wranglers 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
1Antoine Bibeau48271430.9172.5727060111613980131.0006
2Calvin Petersen31161030.8913.09167222867900010.60015
3Jason Missiaen2771720.8743.44149940866810000.3333
4Laurent Brossoit62000.9471.6222200611400000
5Harri Sateri152910.8704.30725205240001000

Wranglers 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
1582344000521260258241152200310121132-11411918002111391261378260456716319879813237381775079420248270360513802305523.91%2535677.87%31344272249.38%1350281148.03%653133848.80%1885127719786201081532
1635131204132119108111876011306352111766030025656043119203322123741341110813553253814010202972755991131513.27%1022080.39%1611123449.51%581116150.04%29357750.78%837573828263467232
Total Saison régulière117475204653379366135922280144018418405825240321319518213121379659103843135120115143454117210751175603502100088019793437020.41%3557678.59%41955395649.42%1931397248.62%946191549.40%2722185028068831548765
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

Wranglers Leaders statistiques des joueurs (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

Wranglers 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