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Wranglers
GP: 25 | W: 15 | L: 9 | OTL: 1 | P: 31
GF: 87 | GA: 78 | PP%: 24.36% | PK%: 75.79%
DG: Guy Brisson | Morale : 56 | Moyenne d’équipe : 63
Prochains matchs #391 vs Moose

Centre de jeu
Wranglers
15-9-1, 31pts
5
2 Wolves
9-11-3, 21pts
Team Stats
W3SéquenceL2
7-5-0Fiche domicile5-5-2
8-4-1Fiche domicile4-6-1
7-2-1Derniers 10 matchs3-6-1
3.48Buts par match 2.43
3.12Buts contre par match 3.17
24.36%Pourcentage en avantage numérique16.95%
75.79%Pourcentage en désavantage numérique72.41%
SenatorsF
11-9-3, 25pts
2
3 Wranglers
15-9-1, 31pts
Team Stats
L2SéquenceW3
4-6-1Fiche domicile7-5-0
7-3-2Fiche domicile8-4-1
4-4-2Derniers 10 matchs7-2-1
3.30Buts par match 3.48
2.91Buts contre par match 3.12
19.44%Pourcentage en avantage numérique24.36%
80.30%Pourcentage en désavantage numérique75.79%
Moose
15-9-0, 30pts
2025-10-19
Wranglers
15-9-1, 31pts
Statistiques d’équipe
L1SéquenceW3
7-5-0Fiche domicile7-5-0
8-4-0Fiche visiteur8-4-1
7-3-010 derniers matchs7-2-1
3.67Buts par match 3.48
2.88Buts contre par match 3.48
13.24%Pourcentage en avantage numérique24.36%
71.43%Pourcentage en désavantage numérique75.79%
Barracuda
6-15-2, 14pts
2025-10-22
Wranglers
15-9-1, 31pts
Statistiques d’équipe
W1SéquenceW3
2-9-1Fiche domicile7-5-0
4-6-1Fiche visiteur8-4-1
2-8-010 derniers matchs7-2-1
2.96Buts par match 3.48
3.57Buts contre par match 3.48
26.76%Pourcentage en avantage numérique24.36%
71.64%Pourcentage en désavantage numérique75.79%
Wranglers
15-9-1, 31pts
2025-10-24
Roadrunners
15-6-0, 30pts
Statistiques d’équipe
W3SéquenceSOW1
7-5-0Fiche domicile7-4-0
8-4-1Fiche visiteur8-2-0
7-2-110 derniers matchs7-3-0
3.48Buts par match 3.76
3.12Buts contre par match 3.76
24.36%Pourcentage en avantage numérique31.82%
75.79%Pourcentage en désavantage numérique74.55%
Meneurs d'équipe
Buts
Hunter Shinkaruk
9
Passes
Austin Strand
17
Points
Mattias Norlinder
22
Plus/Moins
Alex Belzile
14
Victoires
Dustin Tokarski
11
Pourcentage d’arrêts
Mason Beaupit
0.911

Statistiques d’équipe
Buts pour
87
3.48 GFG
Tirs pour
759
30.36 Avg
Pourcentage en avantage numérique
24.4%
19 GF
Début de zone offensive
40.0%
Buts contre
78
3.12 GAA
Tirs contre
771
30.84 Avg
Pourcentage en désavantage numérique
75.8%%
23 GA
Début de la zone défensive
40.7%
Informations de l'équipe

Directeur généralGuy Brisson
EntraîneurBrent Sutter
DivisionDivision Nord-Ouest
ConférenceConference 2
CapitaineMichael Bunting
Assistant #1Jake Walman
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro36
Équipe Mineure18
Limite Contrat54 / 56
Espoirs14


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
1Michael Bunting (C)0XX99.0069457074718190706471726969696954556703112,000,000$
2Colton Dach (R)0X100.007765867673728570687169726355457062650233900,000$
3Samuel Helenius (R)0X100.007570887475688270716770716455457069650233900,000$
4Otto Makinen0X100.006245937268747871756767706057505459640281900,000$
5Antti Suomela0X100.0068459371707176707470667064574634566403211,200,000$
6Hunter Shinkaruk0XX100.0065469271697574706769697065595138626403211,100,000$
7Anton Slepyshev0XX100.0059449970757274705765687164594834466303221,100,000$
8Josh Samanski (R)0X100.006845907270707372616869736345457063630241900,000$
9Curtis Mckenzie0XX100.008364846873737967606264696062472262630351905,000$
10Adam Beckman0XX100.006845827269737372597070676146466662630252750,000$
11Gregory Hofmann0XX100.005141977171727469706765706170553062630331900,000$
12Alex Belzile0XXX100.006348927073717069576666706452482657620352700,000$
13Austin Strand0X100.0070468673767977734566647456604758626602931,300,000$
14Mattias Norlinder0X100.006545887370797973456967755656526262660261750,000$
15Oliver Kylington0X100.00654588757178747045706471606949584666X02911,000,000$
16Tyler Lewington0X100.0083727569727473704569677165604738386503121,000,000$
17Jake Walman (A)0X100.0069458372687878734570746960635046446503021,200,000$
18Adam Ginning0X100.007357767372767670456966775953466253650261750,000$
Rayé
1Jordan Bellerive0X100.006345887268677069726762665956505839620272700,000$
2Fredrik Forsberg0XXX100.006148887670706665636259696058505425610291700,000$
3Ryder Rolston0XX100.006245917268697267596666676048456625610242750,000$
4Simon Knak0XX100.006245917269696969596465696047456625610242750,000$
5Cliff Pu0XXX100.006145957171686569666762676046465026610281700,000$
6Eetu Tuulola0XX100.007757647073667265686565616453465425610282800,000$
7Samu Salminen (R)0X100.006948747170707065716662706045507045610233750,000$
8Daniel Catenacci0X100.006145966970676467606263696247453025600331700,000$
9Charle-Edouard D'Astous (R)0X100.006950677272808875457569736650454050650281900,000$
10Arber Xhekaj0X100.0079666976777783604569677160614662506502521,500,000$
11Calvin de Haan0X100.00624593697169696945686470628864222765X03521,000,000$
12Ty Gallagher (R)0X100.006648797270505068456768716545457025610233750,000$
13Joseph Cecconi0X100.007245807072726462456360695649465420610292600,000$
14Isaac Belliveau (R)0X100.007253657270505066456666706345457025600233750,000$
15Evan Nause (R)0X100.007251696870707059456361675745457025600233750,000$
MOYENNE D’ÉQUIPE99.97685084727171736957676670615548524563
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
1Dustin Tokarski0100.007681797678768279808279595918596503731,200,000$
2Mason Beaupit099.00767374807475777674777846467067610232750,000$
Rayé
1Austin Lotz31100.00797670757970777272767145503841600312650,000$
MOYENNE D’ÉQUIPE99.6777777477777479767578765052425662
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Brent Sutter76806666999934CAN632100,000$


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
1Mattias NorlinderWranglers (Cal)D2571522914032204992514.29%2753821.533472364000066110%000000.8200000022
2Austin StrandWranglers (Cal)D25117181030032235011262.00%2254321.730442165011061000%000000.6600000001
3Adam GinningWranglers (Cal)D23512174100301433142815.15%2546920.435381643000156010%000000.7200000100
4Alex BelzileWranglers (Cal)C/LW/RW226111714135121835103217.14%730413.831347330000101045.92%19600001.1200100200
5Hunter ShinkarukWranglers (Cal)LW/RW259817-640121660164515.00%342016.8343715670000291051.28%3900000.8100000202
6Adam BeckmanWranglers (Cal)LW/RW2586144180331945163117.78%233913.5800002000002128.13%3200010.8200000302
7Gregory HofmannWranglers (Cal)LW/RW23681490041249132412.24%127111.81112615000000050.00%2400001.0312000013
8Otto MakinenWranglers (Cal)C24561136083232132515.63%132213.4200015000021150.56%35600000.6800000001
9Charles HudonFlamesLW/RW20561134021165713318.77%731615.8101114491013391054.17%2400000.7002000100
10Oliver KylingtonWranglers (Cal)D132810-14076237108.70%925119.382351429000013000%000000.7900000020
11Antti SuomelaWranglers (Cal)C1536934011212893010.71%225316.931236310000180052.60%30800000.7100000011
12Josh SamanskiWranglers (Cal)RW18459-120171133131712.12%025914.43123360000141025.00%2000000.6900000010
13Colton DachWranglers (Cal)C25369110035464813386.25%843817.531348630000671050.24%63500000.4102000010
14Anton SlepyshevWranglers (Cal)LW/RW2144810205639101610.26%224211.5500000000071152.94%1700000.6600000110
15Samu SalminenWranglers (Cal)C1435876023141832016.67%619313.80000280000340152.38%14700000.8300000110
16Michael BuntingWranglers (Cal)LW/RW1734706029124617276.52%632619.220115440000350039.29%5600000.4300000010
17Curtis MckenzieWranglers (Cal)LW/RW25347-9180471027103211.11%238415.38022667000001129.63%2700000.3600000000
18Charle-Edouard D'AstousWranglers (Cal)D19156-4100211218395.56%2235318.5900001000033000%000000.3400000000
19Arber XhekajWranglers (Cal)D192461220367153913.33%2134017.9300041600005010%000000.3500000000
20Jake WalmanWranglers (Cal)D150551601211199170%2129619.780111134000035000%000000.3400000000
21Samuel HeleniusWranglers (Cal)C15235-77510302411168.33%021614.46000000001311051.94%28300000.4601100010
22Tyler LewingtonWranglers (Cal)D50443601224140%210020.1801127000011000%000000.7900000000
23Calvin de HaanWranglers (Cal)D61230004931133.33%1210918.260000200007100%000000.5500000000
24Jordan BelleriveWranglers (Cal)C102130201241250.00%0606.0100000000000057.14%700001.0000000001
25Oscar LindbergFlamesC/LW/RW1000200110020%01919.4000001000000050.00%200000011000000
Statistiques d’équipe totales ou en moyenne45085155240562041045537075922651711.20%208737416.39193453164664112558413849.61%219100010.6528200111213
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
1Dustin TokarskiWranglers (Cal)1711410.8933.1896220514760101.0003178011
2Mason BeaupitWranglers (Cal)94400.9112.8348701232570001.0005716200
3Austin LotzWranglers (Cal)10100.8954.0759004380000011000
Statistiques d’équipe totales ou en moyenne2715910.8993.101508217877101082525211


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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 BeckmanWranglers (Cal)LW/RW252001-05-10CANNo182 Lbs6 ft2NoNoTrade2026-01-27NoNo22025-06-02FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Adam GinningWranglers (Cal)D262000-01-13SWENo196 Lbs6 ft3NoNoProspectNoNo12024-06-18FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Alex BelzileWranglers (Cal)C/LW/RW351991-08-31CANNo205 Lbs6 ft0NoNoFree AgentNoNo22026-07-08FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Anton SlepyshevWranglers (Cal)LW/RW321994-05-13RUSNo211 Lbs6 ft2NoNoFree AgentNoNo22025-07-21FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien
Antti SuomelaWranglers (Cal)C321994-03-17FINNo180 Lbs6 ft0NoNoFree Agent2024-06-25NoNo12025-07-03FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Arber XhekajWranglers (Cal)D252001-01-30CANNo240 Lbs6 ft4NoNoFree AgentNoNo22025-05-28FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Austin LotzWranglers (Cal)G311995-05-27CANNo187 Lbs6 ft0NoNoFree AgentNoNo22026-07-03FalseFalsePro & Farm650,000$0$0$No650,000$--------650,000$--------No--------Lien
Austin StrandWranglers (Cal)D291997-04-17CANNo216 Lbs6 ft4NoNoN/ANoNo32026-04-29FalseFalsePro & Farm1,300,000$0$0$No1,300,000$1,300,000$-------1,300,000$1,300,000$-------NoNo-------Lien
Calvin de HaanWranglers (Cal)D351991-05-09CANNo192 Lbs6 ft1NoYesFree AgentNoNo22026-07-06FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Charle-Edouard D'AstousWranglers (Cal)D281998-04-21CANYes211 Lbs6 ft2NoNoFree AgentNoNo12026-05-04FalseFalsePro & Farm900,000$0$0$No---------900,000$900,000$----------------Lien
Cliff PuWranglers (Cal)C/LW/RW281998-06-03CANNo185 Lbs6 ft2NoNoFree AgentNoNo12025-07-06FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Colton DachWranglers (Cal)C232003-01-04CANYes218 Lbs6 ft4NoNoProspectNoNo32026-05-07FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Curtis MckenzieWranglers (Cal)LW/RW351991-02-11CANNo205 Lbs6 ft2NoNoFree AgentNoNo12025-07-06FalseFalsePro & Farm905,000$0$0$No---------------------------Lien
Daniel CatenacciWranglers (Cal)C331993-03-09CANNo194 Lbs5 ft10NoNoFree AgentNoNo12025-07-21FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Dustin TokarskiWranglers (Cal)G371989-09-16CANNo198 Lbs6 ft0NoNoFree AgentNoNo32026-07-06FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien
Eetu TuulolaWranglers (Cal)LW/RW281998-03-17FINNo225 Lbs6 ft2NoNoN/ANoNo22025-05-28FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Evan NauseWranglers (Cal)D232003-01-20CANYes195 Lbs6 ft2NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Fredrik ForsbergWranglers (Cal)C/LW/RW291996-12-12SWENo185 Lbs5 ft11NoNoN/ANoNo12025-05-28FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Gregory HofmannWranglers (Cal)LW/RW331992-11-13CHENo194 Lbs6 ft0NoNoFree AgentNoNo12025-07-08FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Hunter ShinkarukWranglers (Cal)LW/RW321994-10-13CANNo180 Lbs5 ft10NoNoFree AgentNoNo12025-07-08FalseFalsePro & Farm1,100,000$0$0$No---------------------------Lien
Isaac BelliveauWranglers (Cal)D232002-11-26CANYes185 Lbs6 ft2NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Jake WalmanWranglers (Cal)D301996-02-20CANNo170 Lbs6 ft1NoNoN/ANoNo22025-05-28FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Jordan BelleriveWranglers (Cal)C271999-05-02CANNo195 Lbs5 ft10NoNoTrade2025-06-05NoNo22026-04-29FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Joseph CecconiWranglers (Cal)D291997-03-23USANo209 Lbs6 ft3NoNoN/ANoNo22026-04-29FalseFalsePro & Farm600,000$0$0$No600,000$--------600,000$--------No--------Lien
Josh SamanskiWranglers (Cal)RW242002-03-22DEUYes195 Lbs6 ft2NoNoFree AgentNoNo12026-05-07FalseFalsePro & Farm900,000$0$0$No---------900,000$900,000$----------------Lien
Mason BeaupitWranglers (Cal)G232003-09-23CANNo188 Lbs6 ft5NoNoProspectNoNo22025-06-02FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Mattias NorlinderWranglers (Cal)D262000-04-12SWENo191 Lbs6 ft0NoNoTrade2025-05-23NoNo12024-06-18FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Michael BuntingWranglers (Cal)LW/RW311995-09-17CANNo192 Lbs6 ft0NoNoTrade2024-12-20NoNo12025-05-28FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Oliver KylingtonWranglers (Cal)D291997-05-19SWENo181 Lbs6 ft0NoYesN/ANoNo12026-04-29FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Otto MakinenWranglers (Cal)C281998-05-21FINNo178 Lbs6 ft1NoNoN/ANoNo12025-05-28FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Ryder RolstonWranglers (Cal)LW/RW242001-10-31USANo175 Lbs6 ft1NoNoProspectNoNo22025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Samu SalminenWranglers (Cal)C232003-04-09FINYes186 Lbs6 ft5NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Samuel HeleniusWranglers (Cal)C232002-11-26USAYes225 Lbs6 ft6NoNoProspectNoNo32026-05-07FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Simon KnakWranglers (Cal)LW/RW242002-01-27SUINo185 Lbs6 ft1NoNoTrade2025-06-05NoNo22025-06-02FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Ty GallagherWranglers (Cal)D232003-03-06USAYes190 Lbs6 ft0NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Tyler LewingtonWranglers (Cal)D311994-12-05CANNo198 Lbs6 ft1NoNoFree AgentNoNo22026-07-03FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3628.25196 Lbs6 ft11.83915,417$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael BuntingColton DachJosh Samanski25122
2Hunter ShinkarukSamuel HeleniusCurtis Mckenzie25032
3Adam BeckmanAntti SuomelaAnton Slepyshev25032
4Michael BuntingAlex BelzileGregory Hofmann25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias NorlinderAustin Strand33023
2Adam GinningJake Walman33032
3Tyler LewingtonOliver Kylington33032
4Mattias NorlinderAustin Strand1023
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Josh SamanskiColton DachMichael Bunting50014
2Hunter ShinkarukAlex BelzileCurtis Mckenzie50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias NorlinderAustin Strand50014
2Adam GinningOliver Kylington50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Samuel HeleniusAlex Belzile50041
2Colton DachJosh Samanski50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias NorlinderAustin Strand50140
2Oliver KylingtonJake Walman50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Samuel Helenius50041Mattias NorlinderAustin Strand50131
2Colton Dach50041Oliver KylingtonJake Walman50131
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Antti SuomelaMichael Bunting50032
2Colton DachAlex Belzile50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias NorlinderAustin Strand50032
2Oliver KylingtonAdam Ginning50023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Josh SamanskiColton DachAlex BelzileMattias NorlinderAustin Strand
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Gregory HofmannAlex BelzileAdam BeckmanOliver KylingtonMattias Norlinder
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Beckman, Josh Samanski, Colton DachAdam Beckman, Samuel HeleniusAnton Slepyshev
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mattias Norlinder, Austin Strand, Oliver KylingtonMattias NorlinderMattias Norlinder, Austin Strand
Tirs de pénalité
Gregory Hofmann, Colton Dach, Josh Samanski, Adam Beckman, Hunter Shinkaruk
Gardien
#1 : Mason Beaupit, #2 : Dustin Tokarski


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
TotalDomicile Visiteur
# 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 RI
1Admirals11000000303110000003030000000000021.0003690134252623123925026018338625200.00%30100.00%043287049.66%43988549.60%21642051.43%593401584189333163
2Barracuda11000000514000000000001100000051421.0005914003425262322392502601826910153133.33%5180.00%043287049.66%43988549.60%21642051.43%593401584189333163
3Canucks1010000023-1000000000001010000023-100.000235003425262262392502601846128183133.33%4250.00%043287049.66%43988549.60%21642051.43%593401584189333163
4Condors1010000014-31010000014-30000000000000.00011200342526221239250260183614920100.00%2150.00%043287049.66%43988549.60%21642051.43%593401584189333163
5Crunch11000000321000000000001100000032121.0003580034252623423925026018327413400.00%20100.00%043287049.66%43988549.60%21642051.43%593401584189333163
6Eagles22000000844110000005231100000032141.000814220034252625123925026018561312426233.33%5180.00%143287049.66%43988549.60%21642051.43%593401584189333163
7Firebirds1010000013-2000000000001010000013-200.0001230034252623023925026018277817300.00%40100.00%043287049.66%43988549.60%21642051.43%593401584189333163
8Icehogs1010000036-3000000000001010000036-300.0003690034252622423925026018411110134250.00%5340.00%043287049.66%43988549.60%21642051.43%593401584189333163
9Marlies11000000624110000006240000000000021.00061218003425262282392502601831613143266.67%4175.00%043287049.66%43988549.60%21642051.43%593401584189333163
10Monsters11000000321000000000001100000032121.000358003425262202392502601834121017100.00%5260.00%043287049.66%43988549.60%21642051.43%593401584189333163
11Reign32000010161242200000011831000001054161.00016294500342526210323925026018892628519222.22%14192.86%043287049.66%43988549.60%21642051.43%593401584189333163
12Roadrunners1010000045-1000000000001010000045-100.000481200342526219239250260183351021100.00%5340.00%043287049.66%43988549.60%21642051.43%593401584189333163
13SenatorsF11000000321110000003210000000000021.0003690034252623223925026018226621100.00%3166.67%043287049.66%43988549.60%21642051.43%593401584189333163
14Silver Knights622001101922-330200010814-632000100118370.58319315000342526221123925026018175505412127518.52%26484.62%043287049.66%43988549.60%21642051.43%593401584189333163
15StarsF1010000024-21010000024-20000000000000.00023500342526227239250260183376123133.33%3233.33%043287049.66%43988549.60%21642051.43%593401584189333163
16Thunderbirds1010000034-11010000034-10000000000000.00035800342526243239250260183810819200.00%3166.67%043287049.66%43988549.60%21642051.43%593401584189333163
17Wolves11000000523000000000001100000052321.0005101500342526227239250260181954165360.00%20100.00%043287049.66%43988549.60%21642051.43%593401584189333163
Total2513900120877891265000104240213740011045387310.6208715524201342526275923925026018771208206455781924.36%952375.79%143287049.66%43988549.60%21642051.43%593401584189333163
_Since Last GM Reset2513900120877891265000104240213740011045387310.6208715524201342526275923925026018771208206455781924.36%952375.79%143287049.66%43988549.60%21642051.43%593401584189333163
_Vs Conference209800120696721045000103336-310530011036315230.5756912018901342526260823925026018640177171374621422.58%802173.75%143287049.66%43988549.60%21642051.43%593401584189333163
_Vs Division1344001104445-1613000102026-67310010024195110.42344751190034252624232392502601839911811724246919.57%55983.64%043287049.66%43988549.60%21642051.43%593401584189333163

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2531W38715524275977120820645501
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2513901208778
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
126500104240
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
137401104538
Derniers 10 matchs
WLOTWOTL SOWSOL
720100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
781924.36%952375.79%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
239250260183425262
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
43287049.66%43988549.60%21642051.43%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
593401584189333163


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 - 2025-08-284Silver Knights6Wranglers0LSommaire du match
2 - 2025-08-2913Condors4Wranglers1LSommaire du match
3 - 2025-08-3026Wranglers3Eagles2WSommaire du match
6 - 2025-09-0249Silver Knights3Wranglers2LSommaire du match
9 - 2025-09-0572Wranglers4Silver Knights2WSommaire du match
11 - 2025-09-0794Wranglers2Canucks3LSommaire du match
12 - 2025-09-08102Eagles2Wranglers5WSommaire du match
15 - 2025-09-11122Wranglers3Icehogs6LSommaire du match
17 - 2025-09-13132StarsF4Wranglers2LSommaire du match
19 - 2025-09-15150Wranglers3Crunch2WSommaire du match
21 - 2025-09-17165Silver Knights5Wranglers6WXXSommaire du match
24 - 2025-09-20185Wranglers5Reign4WXXSommaire du match
26 - 2025-09-22199Thunderbirds4Wranglers3LSommaire du match
28 - 2025-09-24217Wranglers3Monsters2WSommaire du match
30 - 2025-09-26229Admirals0Wranglers3WSommaire du match
32 - 2025-09-28248Wranglers4Silver Knights2WSommaire du match
34 - 2025-09-30258Wranglers5Barracuda1WSommaire du match
35 - 2025-10-01269Reign4Wranglers5WSommaire du match
38 - 2025-10-04288Wranglers3Silver Knights4LXSommaire du match
40 - 2025-10-06299Reign4Wranglers6WSommaire du match
42 - 2025-10-08315Wranglers1Firebirds3LSommaire du match
44 - 2025-10-10324Wranglers4Roadrunners5LSommaire du match
45 - 2025-10-11334Marlies2Wranglers6WSommaire du match
48 - 2025-10-14353Wranglers5Wolves2WSommaire du match
49 - 2025-10-15366SenatorsF2Wranglers3WSommaire du match
53 - 2025-10-19391Moose-Wranglers-
56 - 2025-10-22417Barracuda-Wranglers-
58 - 2025-10-24434Wranglers-Roadrunners-
60 - 2025-10-26449Admirals-Wranglers-
62 - 2025-10-28464Wranglers-Monsters-
65 - 2025-10-31479Wranglers-PenguinsF-
66 - 2025-11-01491Bears-Wranglers-
69 - 2025-11-04511Wranglers-Comets-
70 - 2025-11-05523Gulls-Wranglers-
72 - 2025-11-07540Wranglers-Iowa Wild-
75 - 2025-11-10556Silver Knights-Wranglers-
77 - 2025-11-12577Griffins-Wranglers-
78 - 2025-11-13587Wranglers-Wolf Pack-
81 - 2025-11-16606Wranglers-Canucks-
82 - 2025-11-17614Firebirds-Wranglers-
85 - 2025-11-20639Wranglers-Marlies-
87 - 2025-11-22650Eagles-Wranglers-
89 - 2025-11-24662Wranglers-Reign-
91 - 2025-11-26678Griffins-Wranglers-
94 - 2025-11-29700Wranglers-Icehogs-
96 - 2025-12-01712Rocket-Wranglers-
100 - 2025-12-05739Thunderbirds-Wranglers-
103 - 2025-12-08766Iowa Wild-Wranglers-
105 - 2025-12-10778Wranglers-Islanders-
108 - 2025-12-13796Americans-Wranglers-
111 - 2025-12-16819Wranglers-Eagles-
113 - 2025-12-18832StarsF-Wranglers-
115 - 2025-12-20850Wranglers-Crunch-
117 - 2025-12-22862Barracuda-Wranglers-
120 - 2025-12-25889Canucks-Wranglers-
121 - 2025-12-26898Wranglers-Phantoms-
124 - 2025-12-29921BruinsF-Wranglers-
126 - 2025-12-31934Wranglers-Admirals-
129 - 2026-01-03954Iowa Wild-Wranglers-
131 - 2026-01-05971Wranglers-Griffins-
133 - 2026-01-07985Canucks-Wranglers-
134 - 2026-01-08994Wranglers-Marlies-
136 - 2026-01-101008Wranglers-Thunderbirds-
138 - 2026-01-121019Wranglers-Condors-
139 - 2026-01-131026Gulls-Wranglers-
142 - 2026-01-161048Wranglers-Condors-
144 - 2026-01-181061Monsters-Wranglers-
147 - 2026-01-211083Monsters-Wranglers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2026-01-231098Wranglers-Admirals-
151 - 2026-01-251116Wranglers-Gulls-
152 - 2026-01-261122Roadrunners-Wranglers-
154 - 2026-01-281137Wranglers-Thunderbirds-
156 - 2026-01-301150Roadrunners-Wranglers-
158 - 2026-02-011165Wranglers-Iowa Wild-
160 - 2026-02-031180Wranglers-StarsF-
161 - 2026-02-041188Wranglers-Griffins-
163 - 2026-02-061200Condors-Wranglers-
166 - 2026-02-091218Wranglers-Barracuda-
168 - 2026-02-111231Icehogs-Wranglers-
170 - 2026-02-131241Wranglers-Gulls-
172 - 2026-02-151257Wranglers-StarsF-
173 - 2026-02-161267Checkers-Wranglers-
177 - 2026-02-201298Checkers-Wranglers-
182 - 2026-02-251330Icehogs-Wranglers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4530
Assistance24,00012,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
30 3000 - 100.00% 178,800$2,145,600$3000125

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
923,213$ 3,295,500$ 3,295,500$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 896,563$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,364,000$ 135 18,454$ 2,491,290$




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

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

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

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