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Wranglers
GP: 22 | W: 13 | L: 6 | OTL: 3 | P: 29
GF: 74 | GA: 72 | PP%: 15.07% | PK%: 82.61%
DG: Guy Brisson | Morale : 57 | Moyenne d’équipe : 63
Prochains matchs #364 vs Reign
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Centre de jeu
Condors
11-11-2, 24pts
5
FINAL
3 Wranglers
13-6-3, 29pts
Team Stats
L1SéquenceW1
6-5-0Fiche domicile7-3-1
5-6-2Fiche domicile6-3-2
5-4-1Derniers 10 matchs5-3-2
2.29Buts par match 3.36
3.13Buts contre par match 3.27
15.19%Pourcentage en avantage numérique15.07%
84.26%Pourcentage en désavantage numérique82.61%
Wranglers
13-6-3, 29pts
5
FINAL
4 PenguinsF
10-12-1, 21pts
Team Stats
W1SéquenceL1
7-3-1Fiche domicile5-6-0
6-3-2Fiche domicile5-6-1
5-3-2Derniers 10 matchs5-5-0
3.36Buts par match 3.57
3.27Buts contre par match 3.65
15.07%Pourcentage en avantage numérique25.64%
82.61%Pourcentage en désavantage numérique76.06%
Reign
13-6-3, 29pts
2024-10-23
Wranglers
13-6-3, 29pts
Statistiques d’équipe
W1SéquenceW1
7-3-1Fiche domicile7-3-1
6-3-2Fiche visiteur6-3-2
5-3-210 derniers matchs5-3-2
3.23Buts par match 3.36
3.23Buts contre par match 3.36
23.53%Pourcentage en avantage numérique15.07%
78.33%Pourcentage en désavantage numérique82.61%
Americans
11-9-2, 24pts
2024-10-26
Wranglers
13-6-3, 29pts
Statistiques d’équipe
W3SéquenceW1
8-2-1Fiche domicile7-3-1
3-7-1Fiche visiteur6-3-2
5-4-110 derniers matchs5-3-2
3.82Buts par match 3.36
3.64Buts contre par match 3.36
20.63%Pourcentage en avantage numérique15.07%
68.66%Pourcentage en désavantage numérique82.61%
Wranglers
13-6-3, 29pts
2024-10-28
Admirals
10-9-3, 23pts
Statistiques d’équipe
W1SéquenceSOW1
7-3-1Fiche domicile5-4-2
6-3-2Fiche visiteur5-5-1
5-3-210 derniers matchs3-5-2
3.36Buts par match 3.32
3.27Buts contre par match 3.32
15.07%Pourcentage en avantage numérique21.54%
82.61%Pourcentage en désavantage numérique78.79%
Meneurs d'équipe
Buts
Rasmus Asplund
12
Passes
Alan Quine
13
Points
Rasmus Asplund
23
Plus/Moins
Rasmus Asplund
11
Victoires
Calvin Petersen
10
Pourcentage d’arrêts
Laurent Brossoit
0.948

Statistiques d’équipe
Buts pour
74
3.36 GFG
Tirs pour
628
28.55 Avg
Pourcentage en avantage numérique
15.1%
11 GF
Début de zone offensive
39.2%
Buts contre
72
3.27 GAA
Tirs contre
650
29.55 Avg
Pourcentage en désavantage numérique
82.6%%
12 GA
Début de la zone défensive
40.9%
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
Assistance2,297
Billets de saison300


Informations de la formation

Équipe Pro33
Équipe Mineure18
Limite contact 51 / 56
Espoirs24


Historique d'équipe

Saison actuelle13-6-3 (29PTS)
Historique49-46-7 (0.480%)
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)XX99.0063548477717688717174727470735461696702811,800,000$
2Rasmus AsplundXX100.0062459579707277747071747168645364666702622,000,000$
3Alan Quine (C)X100.0059409672736985697469707765695549646603112,000,000$
4Jeffrey VielXX98.008046607471737874636971756856496168650271900,000$
5Ryan MacinnisX100.0063509373747174726970677065645059606502821,800,000$
6Maksim SushkoXX100.006445927471737473687169726454506662650251750,000$
7Liam O'BrienX100.0087455673736873716769677063544756706303011,000,000$
8Chris BrownXX100.006446947074808069616567696548454268630332850,000$
9Kristopher FoucaultXX100.007056826872707768636667666448464261620331800,000$
10Fredrik ForsbergXX100.006150887670727066626163696057506041620271800,000$
11Alex BelzileXXX100.006450827171707068576765685556514656620332900,000$
12Eetu TuulolaXX100.007457667073677368666767656050466064620261750,000$
13Markus NutivaaraX100.0060429470727589734575726960795450636603013,500,000$
14Austin StrandX100.0070458473767574734566647456544664446502721,300,000$
15Samuel MorinX100.0073528372737163764566667454584756626502921,300,000$
16Oliver KylingtonX100.0064458875717473694569647060644764546502721,300,000$
17Joe MorrowX100.0063489470727570694566676965594850616403121,650,000$
18Julian MelchioriX100.0060459770748080694566656963494546426403221,000,000$
Rayé
1Carl Grundstrom (A)XX100.0075459075737887726672726971604964586702622,000,000$
2Brandon McmillanXXX100.006145916969737566706363696261493828620341800,000$
3Tanner FritzXX100.006045977070716769626469736650464731620331800,000$
4Yannick VeilleuxXX100.0062499070737067706165646960454550316103121,000,000$
5Tye McGinnXX100.005945967073676668616364706355474233610341800,000$
6Sergey AndronovX100.005943977073706967666465686347453833610351800,000$
7Jake WalmanX100.0067458072687476724572706960584854536402811,100,000$
8Adam Ginning (R)X100.006955757271757568456766765948457041640243750,000$
9Andrew WelinskiX100.006044946974717368456767676453455029630311900,000$
10Joseph CecconiX100.006845847072726862456364655649466032610272700,000$
11Joni TuulolaX100.006347907071736756456258665749465429600281500,000$
MOYENNE D’ÉQUIPE99.90664787727273746958676770625648545164
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 Petersen99.008079777781758177788187616356616503032,000,000$
2Criss de peewee100.005050505050505050505050505050574301111,000,000$
Rayé
1Laurent Brossoit97.65695050807074827879827265665055630311800,000$
2Charlie Lindgren98.04695050767072807677807162645340610302700,000$
MOYENNE D’ÉQUIPE98.5067575771686873707173706061525358
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/RW221211231120241866234718.18%434815.84134855000002070.00%2000011.3212000331
2Alan QuineWranglers (Cal)C22713201160164337122418.92%834615.74000000000520156.53%44400001.1600000212
3Adam GaudetteWranglers (Cal)LW/RW2210818540192761115116.39%337216.94112965000122037.14%3500000.9715000001
4Samuel MorinWranglers (Cal)D22512175215262029121717.24%3246120.962241955000049010%000000.7400001010
5Ryan MacinnisWranglers (Cal)C225121742072744113011.36%236216.490661065000000149.43%44100000.9423000120
6Maksim SushkoWranglers (Cal)LW/RW224121610120282039142310.26%440118.230227550001490156.76%3700000.8000000020
7Markus NutivaaraWranglers (Cal)D2251015212022183072016.67%2946821.322241561000035110%000000.6400000022
8Liam O'BrienWranglers (Cal)C224610-9803524538317.55%335716.24112755000011046.89%45000000.5605000010
9Carl GrundstromWranglers (Cal)LW/RW17459360321540152710.00%429917.63202948000001046.15%1300000.6034000101
10Jeffrey VielWranglers (Cal)LW/RW22448-912027235112327.84%535816.28000020001520164.00%2500000.4500000000
11Joe MorrowWranglers (Cal)D21257-84014181151318.18%2240319.2300004000033100%000000.3500000000
12Oliver KylingtonWranglers (Cal)D2225721203015159913.33%2246921.362241059000148020%000000.3000000000
13Kristopher FoucaultWranglers (Cal)LW/RW22066-31959153210240%623310.60000110000130034.48%2900000.5100001000
14Adam GinningWranglers (Cal)D131564135111353620.00%1723418.0400003000026000%000000.5100001100
15Alex BelzileWranglers (Cal)C/LW/RW22235-400421317186.45%827212.38000000000541038.14%31200000.3700000010
16Austin StrandWranglers (Cal)D912314069175125.88%517819.8400032300007100%000000.3400000000
17Julian MelchioriWranglers (Cal)D9033-1100642010%1016618.5500000000019000%000000.3600000000
18Chris BrownWranglers (Cal)LW/RW22213-1200013305256.67%229513.4500000000000255.17%2900000.2000000000
19Eetu TuulolaWranglers (Cal)LW/RW180330160259176230%120811.61000316000000062.50%1600000.2901000000
20Jake WalmanWranglers (Cal)D14022-510023713560%1428220.1800023400008000%000000.1400000000
21Fredrik ForsbergWranglers (Cal)LW/RW9101-2002352320.00%0434.860000000000000%000000.4600000000
Statistiques d’équipe totales ou en moyenne3967112819951731536636262818244211.31%201656616.581119301036090004456101048.89%185100010.617200038137
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)1910430.8873.29102201564970000.60015175102
2Laurent BrossoitWranglers (Cal)42000.9481.54156004770000027100
3Criss de peeweeWranglers (Cal)11000.8793.6965004330001.000417000
4Charlie LindgrenWranglers (Cal)20200.8603.33108006430000023000
Statistiques d’équipe totales ou en moyenne2613630.8923.1113520170650000192222202


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 MelchioriWranglers (Cal)D321991-12-06No218 Lbs6 ft3NoNoFree AgentNoNo22024-08-26Pro & Farm1,000,000$0$0$No1,000,000$--------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 NutivaaraWranglers (Cal)D301994-06-06No191 Lbs6 ft1NoNoN/ANoNo1Pro & Farm3,500,000$0$0$No------------------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 MacinnisEetu Tuulola27023
2Rasmus AsplundAlan QuineMaksim Sushko27122
3Jeffrey VielLiam O'BrienChris Brown26122
4Fredrik ForsbergAlex BelzileKristopher Foucault20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Markus NutivaaraOliver Kylington33023
2Austin StrandSamuel Morin33122
3Julian MelchioriJoe Morrow33122
4Markus NutivaaraOliver Kylington1032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adam GaudetteRyan MacinnisEetu Tuulola52014
2Rasmus AsplundLiam O'BrienMaksim Sushko48113
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Markus NutivaaraOliver 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 MorinMarkus Nutivaara50131
2Oliver KylingtonJulian Melchiori50131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Alan Quine50041Samuel MorinOliver Kylington50131
2Jeffrey Viel50041Markus NutivaaraAustin 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
2Markus NutivaaraJoe Morrow50032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adam GaudetteRyan MacinnisEetu TuulolaMarkus NutivaaraOliver Kylington
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jeffrey VielAlan QuineRasmus AsplundSamuel MorinOliver Kylington
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alex Belzile, Jeffrey Viel, Chris BrownJeffrey Viel, Liam O'BrienKristopher Foucault
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Markus Nutivaara, Oliver Kylington, Samuel MorinMarkus NutivaaraSamuel Morin, Markus Nutivaara
Tirs de pénalité
Adam Gaudette, Liam O'Brien, Eetu Tuulola, Ryan Macinnis, Rasmus Asplund
Gardien
#1 : Criss de peewee, #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
1Admirals2010100056-11010000024-21000100032120.500510150017272311532121782184051151228500.00%5260.00%035271149.51%38074251.21%17336347.66%518351537169296148
2Americans21000010945210000109450000000000041.0009122101172723119521217821840622116398337.50%7185.71%035271149.51%38074251.21%17336347.66%518351537169296148
3Barracuda11000000321110000003210000000000021.000369001727231120212178218402272123133.33%000%035271149.51%38074251.21%17336347.66%518351537169296148
4Canucks11000000422000000000001100000042221.00047110017272311202121782184033111014400.00%5180.00%035271149.51%38074251.21%17336347.66%518351537169296148
5Condors2110000067-12110000067-10000000000020.500611170017272311562121782184069201234700.00%6266.67%035271149.51%38074251.21%17336347.66%518351537169296148
6Eagles2010001057-2100000104311010000014-320.50058130017272311462121782184052191835500.00%8187.50%035271149.51%38074251.21%17336347.66%518351537169296148
7Griffins1010000035-21010000035-20000000000000.000347001727231126212178218403014818200.00%40100.00%035271149.51%38074251.21%17336347.66%518351537169296148
8Gulls10001000651000000000001000100065121.000611170017272311252121782184029118113133.33%4175.00%035271149.51%38074251.21%17336347.66%518351537169296148
9Icehogs210000101192100000106511100000054141.0001116270017272311642121782184066171139700.00%30100.00%035271149.51%38074251.21%17336347.66%518351537169296148
10Monsters10001000211000000000001000100021121.0002460017272311182121782184037710193133.33%50100.00%035271149.51%38074251.21%17336347.66%518351537169296148
11PenguinsF11000000541000000000001100000054121.0005101500172723112821217821840251023103133.33%4175.00%035271149.51%38074251.21%17336347.66%518351537169296148
12Reign20001001660100010003211000000134-130.7506111700172723116921217821840581812296116.67%6183.33%035271149.51%38074251.21%17336347.66%518351537169296148
13Silver Knights1000000145-1000000000001000000145-110.50048120017272311372121782184031813258225.00%3166.67%035271149.51%38074251.21%17336347.66%518351537169296148
14StarsF2010010058-31000010045-11010000013-210.2505101500172723114021217821840641812386116.67%6183.33%035271149.51%38074251.21%17336347.66%518351537169296148
15Wolves1010000001-1000000000001010000001-100.00000000172723113121217821840215615300.00%30100.00%035271149.51%38074251.21%17336347.66%518351537169296148
Total22660413274722113301130403731133030023435-1290.65974128202011727231162821217821840650201173366731115.07%691282.61%035271149.51%38074251.21%17336347.66%518351537169296148
_Since Last GM Reset22660413274722113301130403731133030023435-1290.65974128202011727231162821217821840650201173366731115.07%691282.61%035271149.51%38074251.21%17336347.66%518351537169296148
_Vs Conference1845041226063-3923011203133-2922030022930-1230.6396010616600172723114742121782184054216512830259711.86%551081.82%035271149.51%38074251.21%17336347.66%518351537169296148
_Vs Division82200011292724110001012111411000011716170.438295483001727231122721217821840242755712531516.13%24675.00%035271149.51%38074251.21%17336347.66%518351537169296148

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2229W17412820262865020117336601
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
226641327472
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
113311304037
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
113330023435
Derniers 10 matchs
WLOTWOTL SOWSOL
331111
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
731115.07%691282.61%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
2121782184017272311
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
35271149.51%38074251.21%17336347.66%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
518351537169296148


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 - 2024-10-23364Reign-Wranglers-
54 - 2024-10-26388Americans-Wranglers-
56 - 2024-10-28402Wranglers-Admirals-
58 - 2024-10-30413Wranglers-Condors-
60 - 2024-11-01423Wranglers-Barracuda-
62 - 2024-11-03438Icehogs-Wranglers-
64 - 2024-11-05456Wranglers-Silver Knights-
66 - 2024-11-07469Thunderbirds-Wranglers-
69 - 2024-11-10488Wranglers-Barracuda-
71 - 2024-11-12503Gulls-Wranglers-
74 - 2024-11-15521Thunderbirds-Wranglers-
76 - 2024-11-17536Wranglers-Checkers-
78 - 2024-11-19553Marlies-Wranglers-
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
Assistance16,8188,453
Assistance PCT76.45%76.85%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
30 2297 - 76.58% 101,476$1,116,232$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,025,220$ 3,905,000$ 3,905,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 998,733$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,044,269$ 136 21,649$ 2,944,264$




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 Viel1043151828632169926811.57%20162615.64516214500011250.48%11.0101
2Markus Nutivaara104165672226619415110.60%100213320.5181220730000130%00.6800
3Kirill Marchenko7329316058256819814.65%10121516.66510153800005140.56%00.9901
4Samuel Morin981345581696143869413.83%117191219.52448350331010%00.6100
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 Petersen1910430.8873.29102201564970000.60015
3Jason Missiaen2771720.8743.44149940866810000.3333
4Laurent Brossoit42000.9481.541560047700000
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
1622660413274722113301130403731133030023435-12974128202011727231162821217821840650201173366731115.07%691282.61%035271149.51%38074251.21%17336347.66%518351537169296148
Total Saison régulière104404604653334330452182501440161169-85222210321317316112107334584918321151061041430011029928101260313290477817463036621.78%3226878.88%31696343349.40%1730355348.69%826170148.56%2403162825157901377680
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