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Wranglers
GP: 41 | W: 22 | L: 16 | OTL: 3 | P: 47
GF: 138 | GA: 131 | PP%: 15.91% | PK%: 82.35%
DG: Guy Brisson | Morale : 56 | Moyenne d’équipe : 63
Prochains matchs #659 vs Bears
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Centre de jeu
Gulls
19-17-4, 42pts
4
FINAL
3 Wranglers
22-16-3, 47pts
Team Stats
L2SéquenceL3
12-5-4Fiche domicile12-7-1
7-12-0Fiche domicile10-9-2
5-4-1Derniers 10 matchs5-5-0
2.93Buts par match 3.37
3.30Buts contre par match 3.20
16.67%Pourcentage en avantage numérique15.91%
77.60%Pourcentage en désavantage numérique82.35%
Wranglers
22-16-3, 47pts
2
FINAL
3 Roadrunners
21-14-5, 47pts
Team Stats
L3SéquenceW3
12-7-1Fiche domicile13-6-2
10-9-2Fiche domicile8-8-3
5-5-0Derniers 10 matchs7-2-1
3.37Buts par match 3.55
3.20Buts contre par match 3.00
15.91%Pourcentage en avantage numérique24.79%
82.35%Pourcentage en désavantage numérique80.81%
Bears
19-17-3, 41pts
2024-12-02
Wranglers
22-16-3, 47pts
Statistiques d’équipe
L5SéquenceL3
10-9-2Fiche domicile12-7-1
9-8-1Fiche visiteur10-9-2
5-5-010 derniers matchs5-5-0
2.95Buts par match 3.37
3.18Buts contre par match 3.37
18.98%Pourcentage en avantage numérique15.91%
81.12%Pourcentage en désavantage numérique82.35%
Wranglers
22-16-3, 47pts
2024-12-05
Reign
15-20-6, 36pts
Statistiques d’équipe
L3SéquenceL1
12-7-1Fiche domicile8-10-2
10-9-2Fiche visiteur7-10-4
5-5-010 derniers matchs1-8-1
3.37Buts par match 2.80
3.20Buts contre par match 2.80
15.91%Pourcentage en avantage numérique21.80%
82.35%Pourcentage en désavantage numérique76.11%
Wranglers
22-16-3, 47pts
2024-12-07
StarsF
24-15-2, 50pts
Statistiques d’équipe
L3SéquenceL1
12-7-1Fiche domicile12-9-0
10-9-2Fiche visiteur12-6-2
5-5-010 derniers matchs7-2-1
3.37Buts par match 3.51
3.20Buts contre par match 3.51
15.91%Pourcentage en avantage numérique28.06%
82.35%Pourcentage en désavantage numérique75.91%
Meneurs d'équipe
Buts
Rasmus Asplund
19
Passes
Samuel Morin
21
Points
Rasmus Asplund
34
Plus/Moins
Alan Quine
15
Victoires
Calvin Petersen
18
Pourcentage d’arrêts
Laurent Brossoit
0.914

Statistiques d’équipe
Buts pour
138
3.37 GFG
Tirs pour
1287
31.39 Avg
Pourcentage en avantage numérique
15.9%
21 GF
Début de zone offensive
41.4%
Buts contre
131
3.20 GAA
Tirs contre
1220
29.76 Avg
Pourcentage en désavantage numérique
82.4%%
21 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
Assistance2,288
Billets de saison300


Informations de la formation

Équipe Pro33
Équipe Mineure18
Limite contact 51 / 56
Espoirs24


Historique d'équipe

Saison actuelle22-16-3 (47PTS)
Historique58-56-8 (0.475%)
Apparitions en séries éliminatoires 0
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
1Carl Grundstrom (A)XX100.0075459075737887726672726971604964626702722,000,000$
2Alan Quine (C)X100.0059409672736985697469707765695549686603112,000,000$
3Jeffrey VielXX99.008046607471737874636971756856496173650271900,000$
4Ryan MacinnisX100.0063509373747174726970677065645059656502821,800,000$
5Maksim SushkoXX99.006445927471737473687169726454506666650251750,000$
6Liam O'BrienX100.0087455673736873716769677063544756746303011,000,000$
7Chris BrownXX100.006446947074808069616567696548454272630332850,000$
8Kristopher FoucaultXX100.007056826872707768636667666448464259620331800,000$
9Alex BelzileXXX100.006450827171707068576765685556514641620332900,000$
10Eetu TuulolaXX100.007457667073677368666767656050466057620261750,000$
11Austin StrandX98.0070458473767574734566647456544664486502721,300,000$
12Samuel MorinX100.0073528372737163764566667454584756666502921,300,000$
13Oliver KylingtonX100.0064458875717473694569647060644764586502721,300,000$
14Jake WalmanX98.0067458072687476724572706960584854426402811,100,000$
Rayé
1Adam Gaudette (A)XX93.0063548477717688717174727470735461726702811,800,000$
2Rasmus AsplundXX100.0062459579707277747071747168645364706702622,000,000$
3Fredrik ForsbergXX100.006150887670727066626163696057506033620271800,000$
4Brandon McmillanXXX100.006145916969737566706363696261493820620341800,000$
5Tanner FritzXX100.006045977070716769626469736650464720620331800,000$
6Yannick VeilleuxXX100.0062499070737067706165646960454550196103121,000,000$
7Tye McGinnXX100.005945967073676668616364706355474220610341800,000$
8Sergey AndronovX100.005943977073706967666465686347453824610351800,000$
9Markus NutivaaraX79.1260429470727589734575726960795450566603013,500,000$
10Joe MorrowX100.0063489470727570694566676965594850506403121,650,000$
11Julian MelchioriX90.8360459770748080694566656963494546356403221,000,000$
12Adam Ginning (R)X85.346955757271757568456766765948457034640243750,000$
13Andrew WelinskiX100.006044946974717368456767676453455020630311900,000$
14Joseph CecconiX100.006845847072726862456364655649466020610272700,000$
15Joni TuulolaX100.006347907071736756456258665749465419600281500,000$
MOYENNE D’ÉQUIPE97.97664787727273746958676770625648544764
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 Petersen98.008079777781758177788187616356656503032,000,000$
2Laurent Brossoit100.00695050807074827879827265665048630311800,000$
Rayé
1Charlie Lindgren100.00695050767072807677807162645339610302700,000$
2Criss de peewee100.005050505050505050505050505050384301111,000,000$
MOYENNE D’ÉQUIPE99.5067575771686873707173706061524858
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/RW4119153413404237132389214.39%667616.502461793000013053.57%5600011.0012000352
2Adam GaudetteWranglers (Cal)LW/RW41141731-1604145111269512.61%971817.5213417115000173046.75%7700000.8615000201
3Ryan MacinnisWranglers (Cal)C41102030-120196598205410.20%568116.62481225115000001248.90%86100000.8823000131
4Alan QuineWranglers (Cal)C411118291560327383235113.25%1163915.59000001015911158.05%83200000.9100000312
5Jeffrey VielWranglers (Cal)LW/RW4115122712753946118246312.71%967416.461013110002870162.75%5100000.8000001014
6Liam O'BrienWranglers (Cal)C41131427-12208745111136111.71%566716.283251998000032147.99%89400000.8105000311
7Samuel MorinWranglers (Cal)D4152126635551385719368.77%5285520.862353099000083010%000000.6100001010
8Maksim SushkoWranglers (Cal)LW/RW41617231520047399729726.19%774018.0703313990003861152.70%7400000.6200000031
9Carl GrundstromWranglers (Cal)LW/RW35121022-11005830102265011.76%559617.053362396000001051.52%3300000.7434000121
10Markus NutivaaraWranglers (Cal)D33614207140302543103013.95%4268620.802351989011050210%000000.5800000022
11Adam GinningWranglers (Cal)D311161762754720148137.14%3155517.9200005000042000%000000.6100001110
12Chris BrownWranglers (Cal)LW/RW4161117-60003457105010.53%556913.9000000000001252.08%4800000.6000000100
13Oliver KylingtonWranglers (Cal)D41310134220503130212510.00%3988421.5823515110000184020%000000.2900000001
14Joe MorrowWranglers (Cal)D292911-104019201581713.33%2854218.7000004000035100%000000.4100000001
15Austin StrandWranglers (Cal)D28191031402527339273.03%2456820.300111067000026100%000000.3500000000
16Kristopher FoucaultWranglers (Cal)LW/RW40099-8261026256020460%740810.21000110000200036.73%4900000.4400011000
17Jake WalmanWranglers (Cal)D22189-111604211207115.00%1945920.90145554000025000%000000.3900000001
18Alex BelzileWranglers (Cal)C/LW/RW33639-717511294892912.50%839812.09000000002852040.04%47200000.4500100110
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/RW18101-2002462316.67%0543.020000000000000%100000.3700000000
Statistiques d’équipe totales ou en moyenne7371352403752130935722680128733587210.49%3431217716.52213758200108311214781191249.72%356200010.62720124162118
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)35181230.8923.11191322999170010.600153110112
2Laurent BrossoitWranglers (Cal)82200.9142.81342001618700000515100
3Criss de peeweeWranglers (Cal)21000.8923.5867004370001.000427000
4Charlie LindgrenWranglers (Cal)31200.8853.21168009780000039000
Statistiques d’équipe totales ou en moyenne48221630.8953.082491221281219001194141212


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 Pays 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 Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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 Gaudette (sur la masse salariale)Wranglers (Cal)LW/RW281996-10-03USANo170 Lbs6 ft2NoNoN/ANoNo12024-05-29FalseFalsePro & Farm1,800,000$0$0$Yes---------------------------Lien
Adam Ginning (sur la masse salariale)Wranglers (Cal)D242000-01-13SWEYes196 Lbs6 ft3NoNoProspectNoNo32024-06-18FalseFalsePro & Farm750,000$0$0$Yes750,000$750,000$-------750,000$750,000$-------NoNo-------
Alan QuineWranglers (Cal)C311993-02-25CANNo200 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Alex BelzileWranglers (Cal)C/LW/RW331991-08-31CANNo195 Lbs6 ft0NoNoFree AgentNoNo22024-07-22FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Andrew WelinskiWranglers (Cal)D311993-04-27USANo212 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Austin StrandWranglers (Cal)D271997-04-17CANNo216 Lbs6 ft4NoNoN/ANoNo22024-05-29FalseFalsePro & Farm1,300,000$0$0$No1,300,000$--------1,300,000$--------No--------Lien
Brandon McmillanWranglers (Cal)C/LW/RW341990-03-22CANNo189 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Calvin PetersenWranglers (Cal)G301994-10-19USANo185 Lbs6 ft2NoNoFree AgentNoNo32024-07-07FalseFalsePro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Lien
Carl GrundstromWranglers (Cal)LW/RW271997-12-01SWENo201 Lbs6 ft0NoNoN/ANoNo22024-05-29FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Lien
Charlie LindgrenWranglers (Cal)G301993-12-18USANo179 Lbs6 ft2NoNoFree AgentNoNo22024-08-20FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Chris BrownWranglers (Cal)LW/RW331991-02-03USANo213 Lbs6 ft2NoNoFree AgentNoNo22024-08-20FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------Lien
Criss de peeweeWranglers (Cal)G112013-10-05SWENo150 Lbs5 ft10NoNoFree AgentNoNo12024-10-04FalseFalsePro & Farm1,000,000$0$0$No---------------------------
Eetu TuulolaWranglers (Cal)LW/RW261998-03-17FINNo225 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Fredrik ForsbergWranglers (Cal)LW/RW271996-12-12SWENo185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Jake WalmanWranglers (Cal)D281996-02-20CANNo170 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$0$0$No---------------------------Lien
Jeffrey VielWranglers (Cal)LW/RW271997-01-28CANNo195 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Joe MorrowWranglers (Cal)D311992-12-09CANNo207 Lbs6 ft0NoNoFree AgentNoNo22024-07-07FalseFalsePro & Farm1,650,000$0$0$No1,650,000$--------1,650,000$--------No--------Lien
Joni TuulolaWranglers (Cal)D281996-01-01FINNo198 Lbs6 ft3NoNoN/ANoNo12024-05-29FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Joseph CecconiWranglers (Cal)D271997-03-23USANo209 Lbs6 ft3NoNoN/ANoNo22024-05-29FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Julian Melchiori (sur la masse salariale)Wranglers (Cal)D321991-12-06CANNo218 Lbs6 ft3NoNoFree AgentNoNo22024-08-26FalseFalsePro & Farm1,000,000$0$0$Yes1,000,000$--------1,000,000$--------No--------Lien
Kristopher FoucaultWranglers (Cal)LW/RW331990-12-12CANNo202 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Laurent BrossoitWranglers (Cal)G311993-03-23CANNo203 Lbs6 ft3NoNoTrade2024-08-18NoNo12024-07-28FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Liam O'BrienWranglers (Cal)C301994-07-29CANNo213 Lbs6 ft1NoNoTrade2024-08-18NoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Maksim SushkoWranglers (Cal)LW/RW251999-02-10BLRNo198 Lbs6 ft0NoNoTrade2024-07-27NoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Markus Nutivaara (sur la masse salariale)Wranglers (Cal)D301994-06-06FINNo191 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm3,500,000$0$0$Yes---------------------------Lien
Oliver KylingtonWranglers (Cal)D271997-05-19SWENo181 Lbs6 ft0NoNoN/ANoNo22024-05-29FalseFalsePro & Farm1,300,000$0$0$No1,300,000$--------1,300,000$--------No--------Lien
Rasmus AsplundWranglers (Cal)LW/RW261997-12-03SWENo189 Lbs5 ft11NoNoTrade2024-01-03NoNo22024-05-29FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Lien
Ryan MacinnisWranglers (Cal)C281996-02-14USANo201 Lbs6 ft4NoNoFree AgentNoNo22024-07-02FalseFalsePro & Farm1,800,000$0$0$No1,800,000$--------1,800,000$--------No--------Lien
Samuel MorinWranglers (Cal)D291995-07-12CANNo202 Lbs6 ft6NoNoN/ANoNo22024-05-29FalseFalsePro & Farm1,300,000$0$0$No1,300,000$--------1,300,000$--------No--------Lien
Sergey AndronovWranglers (Cal)C351989-07-19RUSNo207 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Tanner FritzWranglers (Cal)LW/RW331991-08-20CANNo192 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Tye McGinnWranglers (Cal)LW/RW341990-07-29CANNo205 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Yannick VeilleuxWranglers (Cal)LW/RW311993-02-22QUENo205 Lbs6 ft2NoNoFree AgentNoNo22024-01-03FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3329.00197 Lbs6 ft11.521,183,333$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan MacinnisCarl Grundstrom27023
2Alan 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
333122
4Jake WalmanOliver Kylington1032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan MacinnisCarl Grundstrom52014
2Liam 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 Walman50032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan MacinnisCarl GrundstromJake WalmanOliver Kylington
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jeffrey VielAlan QuineSamuel Morin
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, Samuel Morin, Jake Walman
Tirs de pénalité
, Liam O'Brien, Eetu Tuulola, Ryan Macinnis,
Gardien
#1 : Laurent Brossoit, #2 : Calvin Petersen


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
1Admirals3020100079-21010000024-22010100055020.333713200042503812824054174424385254944600.00%9277.78%1728146049.86%694137750.40%34968650.87%981671966306546272
2Americans320000101551032000010155100000000000061.0001522370142503812147405417442439039205810330.00%9188.89%0728146049.86%694137750.40%34968650.87%981671966306546272
3Barracuda321000001091110000003212110000077040.6671018280042503812914054174424377146507114.29%2150.00%0728146049.86%694137750.40%34968650.87%981671966306546272
4Canucks11000000422000000000001100000042221.00047110042503812204054174424333111014400.00%5180.00%0728146049.86%694137750.40%34968650.87%981671966306546272
5Checkers1010000035-2000000000001010000035-200.0003580042503812234054174424330710262150.00%5180.00%0728146049.86%694137750.40%34968650.87%981671966306546272
6Condors32100000121022110000067-11100000063340.6671222340042503812964054174424310224225413215.38%11463.64%0728146049.86%694137750.40%34968650.87%981671966306546272
7Eagles2010001057-2100000104311010000014-320.50058130042503812464054174424352191835500.00%8187.50%0728146049.86%694137750.40%34968650.87%981671966306546272
8Griffins1010000035-21010000035-20000000000000.000347004250381226405417442433014818200.00%40100.00%0728146049.86%694137750.40%34968650.87%981671966306546272
9Gulls311010001394211000007431000100065140.66713233601425038129840541744243841819509222.22%6183.33%0728146049.86%694137750.40%34968650.87%981671966306546272
10Icehogs31100010121202010001078-11100000054140.6671217290042503812874054174424397221552900.00%50100.00%0728146049.86%694137750.40%34968650.87%981671966306546272
11Marlies11000000734110000007340000000000021.0007132000425038124240541744243257411300.00%20100.00%0728146049.86%694137750.40%34968650.87%981671966306546272
12Monsters10001000211000000000001000100021121.0002460042503812184054174424337710193133.33%50100.00%0728146049.86%694137750.40%34968650.87%981671966306546272
13Moose10001000431000000000001000100043121.00048120042503812344054174424336910194125.00%5180.00%0728146049.86%694137750.40%34968650.87%981671966306546272
14PenguinsF11000000541000000000001100000054121.0005101500425038122840541744243251023103133.33%4175.00%0728146049.86%694137750.40%34968650.87%981671966306546272
15Reign3010100179-22010100045-11000000134-130.5007132000425038129740541744243892622488112.50%11281.82%0728146049.86%694137750.40%34968650.87%981671966306546272
16Roadrunners1010000023-1000000000001010000023-100.0002350042503812294054174424336116243133.33%20100.00%0728146049.86%694137750.40%34968650.87%981671966306546272
17Silver Knights3200000113103110000005232100000188050.8331323360042503812114405417442438620236219421.05%8362.50%0728146049.86%694137750.40%34968650.87%981671966306546272
18StarsF2010010058-31000010045-11010000013-210.2505101500425038124040541744243641812386116.67%6183.33%0728146049.86%694137750.40%34968650.87%981671966306546272
19Thunderbirds41300000916-72110000045-120200000511-620.2509172610425038121384054174424312137187513215.38%9188.89%0728146049.86%694137750.40%34968650.87%981671966306546272
20Wolves1010000001-1000000000001010000001-100.00000000425038123140541744243215615300.00%30100.00%0728146049.86%694137750.40%34968650.87%981671966306546272
Total4114160513213813172087011307158132169040026773-6470.573138240378124250381212874054174424312203433117221322115.91%1192182.35%1728146049.86%694137750.40%34968650.87%981671966306546272
_Since Last GM Reset4114160513213813172087011307158132169040026773-6470.573138240378124250381212874054174424312203433117221322115.91%1192182.35%1728146049.86%694137750.40%34968650.87%981671966306546272
_Vs Conference33101404122104110-61657011204950-11757030025560-5350.5301041822861142503812982405417442439932662385831071514.02%911781.32%1728146049.86%694137750.40%34968650.87%981671966306546272
_Vs Division16520001159491082100010252058310000134295130.40659106165014250381251640541744243471113102278601016.67%431272.09%0728146049.86%694137750.40%34968650.87%981671966306546272

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4147L31382403781287122034331172212
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4114165132138131
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
208711307158
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
216940026773
Derniers 10 matchs
WLOTWOTL SOWSOL
451000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1322115.91%1192182.35%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
4054174424342503812
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
728146049.86%694137750.40%34968650.87%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
981671966306546272


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 - 2024-09-032Americans0Wranglers4WSommaire du match
4 - 2024-09-0628Wranglers5Icehogs4WSommaire du match
7 - 2024-09-0949Icehogs5Wranglers6WXXSommaire du match
10 - 2024-09-1269Griffins5Wranglers3LSommaire du match
12 - 2024-09-1484Wranglers6Gulls5WXSommaire du match
13 - 2024-09-1597Wranglers2Monsters1WXSommaire du match
15 - 2024-09-17112Condors2Wranglers3WSommaire du match
18 - 2024-09-20131Wranglers3Admirals2WXSommaire du match
20 - 2024-09-22144Admirals4Wranglers2LSommaire du match
22 - 2024-09-24161Wranglers4Silver Knights5LXXSommaire du match
24 - 2024-09-26173Wranglers1Eagles4LSommaire du match
26 - 2024-09-28185Eagles3Wranglers4WXXSommaire du match
28 - 2024-09-30205StarsF5Wranglers4LXSommaire du match
30 - 2024-10-02218Wranglers1StarsF3LSommaire du match
32 - 2024-10-04231Wranglers3Reign4LXXSommaire du match
34 - 2024-10-06245Wranglers4Canucks2WSommaire du match
36 - 2024-10-08254Barracuda2Wranglers3WSommaire du match
38 - 2024-10-10271Wranglers0Wolves1LSommaire du match
40 - 2024-10-12284Americans4Wranglers5WXXSommaire du match
43 - 2024-10-15308Reign2Wranglers3WXSommaire du match
46 - 2024-10-18331Condors5Wranglers3LSommaire du match
49 - 2024-10-21347Wranglers5PenguinsF4WSommaire du match
51 - 2024-10-23364Reign3Wranglers1LSommaire du match
54 - 2024-10-26388Americans1Wranglers6WSommaire du match
56 - 2024-10-28402Wranglers2Admirals3LSommaire du match
58 - 2024-10-30413Wranglers6Condors3WSommaire du match
60 - 2024-11-01423Wranglers3Barracuda2WSommaire du match
62 - 2024-11-03438Icehogs3Wranglers1LSommaire du match
64 - 2024-11-05456Wranglers4Silver Knights3WSommaire du match
66 - 2024-11-07469Thunderbirds2Wranglers0LSommaire du match
69 - 2024-11-10488Wranglers4Barracuda5LSommaire du match
71 - 2024-11-12503Gulls0Wranglers4WSommaire du match
74 - 2024-11-15521Thunderbirds3Wranglers4WSommaire du match
76 - 2024-11-17536Wranglers3Checkers5LSommaire du match
78 - 2024-11-19553Marlies3Wranglers7WSommaire du match
80 - 2024-11-21573Wranglers4Moose3WXSommaire du match
82 - 2024-11-23583Wranglers3Thunderbirds6LSommaire du match
83 - 2024-11-24594Silver Knights2Wranglers5WSommaire du match
86 - 2024-11-27614Wranglers2Thunderbirds5LSommaire du match
87 - 2024-11-28627Gulls4Wranglers3LSommaire du match
90 - 2024-12-01648Wranglers2Roadrunners3LSommaire du match
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
Assistance30,41915,344
Assistance PCT76.05%76.72%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
21 2288 - 76.27% 101,017$2,020,338$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,864,033$ 3,200,000$ 3,200,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,815,387$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,121,355$ 95 17,838$ 1,694,610$




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 Viel1234259101187822812233512.54%24194315.80616224800021252.67%11.0401
2Markus Nutivaara1151760777286910116410.37%113235020.4481321770110230%00.6600
3Samuel Morin1171354671711016810412210.66%137230619.72459460331010%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 Petersen35181230.8923.11191322999170010.60015
3Jason Missiaen2771720.8743.44149940866810000.3333
4Laurent Brossoit82200.9142.81342001618700000
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
164114160513213813172087011307158132169040026773-647138240378124250381212874054174424312203433117221322115.91%1192182.35%1728146049.86%694137750.40%34968650.87%981671966306546272
Total Saison régulière1234856056533983899612329014401921902622527042132061997125398696109443140129119153660122211671236633702104691621023627620.99%3727779.30%42072418249.55%2044418848.81%1002202449.51%2867194829449261627804
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