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Connexion

Wranglers
GP: 4 | W: 1 | L: 3 | OTL: 0 | P: 2
GF: 6 | GA: 15 | PP%: 11.76% | PK%: 90.91%
DG: Guy Brisson | Morale : 48 | Moyenne d’équipe : 63
Prochains matchs #72 vs Silver Knights

Centre de jeu
Wranglers
1-3-0, 2pts
3
2 Eagles
0-2-0, 0pts
Team Stats
L1SéquenceL2
0-3-0Fiche domicile0-1-0
1-0-0Fiche domicile0-1-0
1-3-0Derniers 10 matchs0-2-0
1.50Buts par match 2.50
3.75Buts contre par match 4.50
11.76%Pourcentage en avantage numérique33.33%
90.91%Pourcentage en désavantage numérique55.56%
Silver Knights
3-1-0, 6pts
3
2 Wranglers
1-3-0, 2pts
Team Stats
W2SéquenceL1
1-0-0Fiche domicile0-3-0
2-1-0Fiche domicile1-0-0
3-1-0Derniers 10 matchs1-3-0
4.25Buts par match 1.50
2.00Buts contre par match 3.75
8.33%Pourcentage en avantage numérique11.76%
84.21%Pourcentage en désavantage numérique90.91%
Wranglers
1-3-0, 2pts
2025-09-01
Silver Knights
3-1-0, 6pts
Statistiques d’équipe
L1SéquenceW2
0-3-0Fiche domicile1-0-0
1-0-0Fiche visiteur2-1-0
1-3-010 derniers matchs3-1-0
1.50Buts par match 4.25
3.75Buts contre par match 4.25
11.76%Pourcentage en avantage numérique8.33%
90.91%Pourcentage en désavantage numérique84.21%
Wranglers
1-3-0, 2pts
2025-09-03
Canucks
1-3-0, 2pts
Statistiques d’équipe
L1SéquenceL2
0-3-0Fiche domicile1-2-0
1-0-0Fiche visiteur0-1-0
1-3-010 derniers matchs1-3-0
1.50Buts par match 2.00
3.75Buts contre par match 2.00
11.76%Pourcentage en avantage numérique18.18%
90.91%Pourcentage en désavantage numérique80.00%
Eagles
0-2-0, 0pts
2025-09-04
Wranglers
1-3-0, 2pts
Statistiques d’équipe
L2SéquenceL1
0-1-0Fiche domicile0-3-0
0-1-0Fiche visiteur1-0-0
0-2-010 derniers matchs1-3-0
2.50Buts par match 1.50
4.50Buts contre par match 1.50
33.33%Pourcentage en avantage numérique11.76%
55.56%Pourcentage en désavantage numérique90.91%
Meneurs d'équipe
Buts
Alex Belzile
2
Passes
Adam Ginning
2
Points
Alex Belzile
3
Plus/Moins
Alex Belzile
2
Victoires
Dustin Tokarski
1
Pourcentage d’arrêts
Mason Beaupit
0.872

Statistiques d’équipe
Buts pour
6
1.50 GFG
Tirs pour
104
26.00 Avg
Pourcentage en avantage numérique
11.8%
2 GF
Début de zone offensive
42.3%
Buts contre
15
3.75 GAA
Tirs contre
116
29.00 Avg
Pourcentage en désavantage numérique
90.9%%
1 GA
Début de la zone défensive
38.8%
Informations de l'équipe

Directeur généralGuy Brisson
EntraîneurBrent Sutter
DivisionDivision Nord-Ouest
ConférenceConference 2
CapitaineMichael Bunting
Assistant #1Jake Walman
Assistant #2Charle-Edouard D'Astous


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro39
Équipe Mineure18
Limite contact 57 / 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
1Charles Hudon0XX99.0075459170707287716468687566655338466503231,200,000$
2Colton Dach (R)0X96.007765867673728570687169726355457049650233900,000$
3Otto Makinen0X100.006245937268747871756767706057505449640281900,000$
4Antti Suomela0X99.0068459371707176707470667064574634496403211,200,000$
5Hunter Shinkaruk0XX99.0065469271697574706769697065595138496403111,100,000$
6Anton Slepyshev0XX100.0059449970757274705765687164594834496303221,100,000$
7Josh Samanski (R)0X100.006845907270707372616869736345457049630241900,000$
8Curtis Mckenzie0XX100.008364846873737967606264696062472249630351905,000$
9Adam Beckman0XX100.006845827269737372597070676146466649630252750,000$
10Alex Belzile0XXX100.006348927073717069576666706452482649620342700,000$
11Samu Salminen (R)0X100.006948747170707065716662706045507046610233750,000$
12Austin Strand0X100.0070468673767977734566647456604758496602931,300,000$
13Mattias Norlinder0X100.006545887370797973456967755656526249660261750,000$
14Charle-Edouard D'Astous (R) (A)0X100.006950677272808875457569736650454046650281900,000$
15Arber Xhekaj0X100.0079666976777783604569677160614662466502521,500,000$
16Jake Walman (A)0X100.0069458372687878734570746960635046496503021,200,000$
17Adam Ginning0X100.007357767372767670456966775953466246650261750,000$
Rayé
1Michael Bunting (C)0XX96.0069457074718190706471726969696954476703012,000,000$
2Gregory Hofmann0XX100.005141977171727469706765706170553048630331900,000$
3Jordan Bellerive0X100.006345887268677069726762665956505848620272700,000$
4Fredrik Forsberg0XXX100.006148887670706665636259696058505446610291700,000$
5Ryder Rolston0XX100.006245917268697267596666676048456646610242750,000$
6Simon Knak0XX100.006245917269696969596465696047456646610242750,000$
7Cliff Pu0XXX100.006145957171686569666762676046465046610281700,000$
8Eetu Tuulola0XX100.007757647073667265686565616453465446610282800,000$
9Daniel Catenacci0X100.006145966970676467606263696247453046600331700,000$
10Oliver Kylington0X100.00654588757178747045706471606949584866X02911,000,000$
11Tyler Lewington0X100.0083727569727473704569677165604738466503121,000,000$
12Calvin de Haan0X100.0062459369716969694568647062886422486503521,000,000$
13Ty Gallagher (R)0X100.006648797270505068456768716545457046610233750,000$
14Joseph Cecconi0X100.007245807072726462456360695649465446610292600,000$
15Isaac Belliveau (R)0X100.007253657270505066456666706345457046600233750,000$
16Evan Nause (R)0X100.007251696870707059456361675745457046600233750,000$
17Joni Tuulola0X100.00624689707172665545615865574946504659X0302500,000$
18Jacob Leguerrier0X100.00594581727172685745625461504545664658X0252750,000$
19Xavier Bouchard0X100.005545827272716856456153604845455846580262750,000$
MOYENNE D’ÉQUIPE99.69674984727171736856676569615548524763
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 Tokarski099.007681797678768279808279595918456503631,200,000$
2Mason Beaupit0100.00767374807475777674777846467050610222750,000$
Rayé
1Austin Lotz31100.00797670757970777272767145503848600312650,000$
MOYENNE D’ÉQUIPE99.6777777477777479767578765052424862
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
1Adam GinningWranglers (Cal)D4123-4004413247.69%68521.3110181500009000%000000.7000000000
2Alex BelzileWranglers (Cal)C/LW/RW32132551250140.00%0289.3401100000000048.78%4100002.1400100100
3Jake WalmanWranglers (Cal)D4022-400639460%58521.3001171500009000%000000.4700000000
4Josh SamanskiWranglers (Cal)RW4022-500318250%06616.6501100000020050.00%200000.6000000000
5Oliver KylingtonWranglers (Cal)D2112-1002022150.00%03316.681011000000000%000001.2000000010
6Otto MakinenWranglers (Cal)C4101-5200532633.33%06817.0500014000000052.63%5700000.2900000000
7Calvin de HaanWranglers (Cal)D2101-10003101100.00%03417.160000000000100%000000.5800000000
8Charles HudonWranglers (Cal)LW/RW4011-340227380%16516.32011315000070050.00%200000.3100000000
9Austin StrandWranglers (Cal)D4000-240676140%68320.9400031500007000%00000000000000
10Charle-Edouard D'AstousWranglers (Cal)D2000-320113010%23517.500000000000000%00000000000000
11Arber XhekajWranglers (Cal)D2000-320511000%33517.500000000000000%00000000000000
12Antti SuomelaWranglers (Cal)C4000-300038380%27619.23000215000040059.55%890000000000000
13Anton SlepyshevWranglers (Cal)LW/RW4000200016140%0358.990000000000000%10000000000000
14Michael BuntingWranglers (Cal)LW/RW3000-300716230%35819.64000011000030055.56%90000000000000
15Mattias NorlinderWranglers (Cal)D4000-200552270%58421.2300021500008000%00000000000000
16Hunter ShinkarukWranglers (Cal)LW/RW4000-200719470%18120.26000215000090050.00%60000000000000
17Curtis MckenzieWranglers (Cal)LW/RW4000-4601103030%17017.70000115000000020.00%50000000000000
18Jordan BelleriveWranglers (Cal)C2000000000000%000.120000000000000%00000000000000
19Colton DachWranglers (Cal)C4000-300576030%47518.85000215000090048.94%940000000000000
20Adam BeckmanWranglers (Cal)LW/RW4000-520645130%06416.0300000000000040.00%50000000000000
21Samu SalminenWranglers (Cal)C2000000000000%000.470000000000000%10000000000000
22Gregory HofmannWranglers (Cal)LW/RW2000-100011010%0105.460000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne726915-50275715210429765.77%39118016.39246321560000731051.92%31200000.2500100110
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)31200.8703.44157009690000031000
2Mason BeaupitWranglers (Cal)20100.8724.3982006470000013000
Statistiques d’équipe totales ou en moyenne51300.8713.752400015116000044000


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/RW341991-08-31CANNo205 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 ft1NoNoFree 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
Charles HudonWranglers (Cal)LW/RW321994-06-23CANNo187 Lbs5 ft10NoNoFree AgentNoNo32026-07-06FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------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)G361989-09-16CANNo198 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/RW311994-10-13CANNo180 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
Jacob LeguerrierWranglers (Cal)D252000-11-22CANNo202 Lbs6 ft1NoYesProspectNoNo22025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------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
Joni TuulolaWranglers (Cal)D301996-01-01FINNo198 Lbs6 ft3NoYesN/ANoNo22025-05-28FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------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)G222003-09-23CANNo188 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/RW301995-09-17CANNo192 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
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
Xavier BouchardWranglers (Cal)D262000-02-28CANNo199 Lbs6 ft5NoNoProspectNoNo22025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3928.26195 Lbs6 ft11.85903,974$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Colton DachCharles Hudon25122
2Hunter ShinkarukAntti SuomelaCurtis Mckenzie25122
3Adam BeckmanOtto MakinenJosh Samanski25122
4Anton SlepyshevAlex Belzile25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias NorlinderAustin Strand33122
2Adam GinningJake Walman33122
3Arber XhekajCharle-Edouard D'Astous33122
4Mattias NorlinderAustin Strand1122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Colton DachCharles Hudon50023
2Hunter ShinkarukAntti SuomelaCurtis Mckenzie50023
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias NorlinderAustin Strand50023
2Adam GinningJake Walman50023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Charles Hudon50041
2Colton DachHunter Shinkaruk50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias NorlinderAustin Strand50131
2Adam GinningJake Walman50131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
150041Mattias NorlinderAustin Strand50131
2Charles Hudon50041Adam GinningJake Walman50131
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Charles Hudon50023
2Colton DachHunter Shinkaruk50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias NorlinderAustin Strand50032
2Adam GinningJake Walman50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Colton DachCharles HudonMattias NorlinderAustin Strand
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Colton DachCharles HudonMattias NorlinderAustin Strand
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Samu Salminen, Otto Makinen, Josh SamanskiSamu Salminen, Otto MakinenJosh Samanski
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Arber Xhekaj, Charle-Edouard D'Astous, Adam GinningArber XhekajCharle-Edouard D'Astous, Adam Ginning
Tirs de pénalité
, Charles Hudon, Colton Dach, Hunter Shinkaruk, Antti Suomela
Gardien
#1 : Dustin Tokarski, #2 : Mason Beaupit


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
1Condors1010000014-31010000014-30000000000000.0001120030302131254803614920100.00%2150.00%07213254.55%5512145.45%355959.32%936292305326
2Eagles11000000321000000000001100000032121.0003580030302231254802662164125.00%10100.00%07213254.55%5512145.45%355959.32%936292305326
3Silver Knights2020000029-72020000029-70000000000000.000235003030613125480541916351218.33%80100.00%07213254.55%5512145.45%355959.32%936292305326
Total41300000615-930300000313-101100000032120.2506915003030104312548011639277117211.76%11190.91%07213254.55%5512145.45%355959.32%936292305326
_Since Last GM Reset41300000615-930300000313-101100000032120.2506915003030104312548011639277117211.76%11190.91%07213254.55%5512145.45%355959.32%936292305326
_Vs Conference41300000615-930300000313-101100000032120.2506915003030104312548011639277117211.76%11190.91%07213254.55%5512145.45%355959.32%936292305326
_Vs Division31300000313-1030300000313-100100000000020.333347003030823125480903325551317.69%10190.00%07213254.55%5512145.45%355959.32%936292305326

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
42L1691510411639277100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4130000615
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3030000313
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
110000032
Derniers 10 matchs
WLOTWOTL SOWSOL
130000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
17211.76%11190.91%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
31254803030
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
7213254.55%5512145.45%355959.32%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
936292305326


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 - 2025-08-244Silver Knights6Wranglers0LSommaire du match
2 - 2025-08-2513Condors4Wranglers1LSommaire du match
3 - 2025-08-2626Wranglers3Eagles2WSommaire du match
6 - 2025-08-2949Silver Knights3Wranglers2LSommaire du match
9 - 2025-09-0172Wranglers-Silver Knights-
11 - 2025-09-0394Wranglers-Canucks-
12 - 2025-09-04102Eagles-Wranglers-
15 - 2025-09-07122Wranglers-Icehogs-
17 - 2025-09-09132StarsF-Wranglers-
19 - 2025-09-11150Wranglers-Crunch-
21 - 2025-09-13165Silver Knights-Wranglers-
24 - 2025-09-16185Wranglers-Reign-
26 - 2025-09-18199Thunderbirds-Wranglers-
28 - 2025-09-20217Wranglers-Monsters-
30 - 2025-09-22229Admirals-Wranglers-
32 - 2025-09-24248Wranglers-Silver Knights-
34 - 2025-09-26258Wranglers-Barracuda-
35 - 2025-09-27269Reign-Wranglers-
38 - 2025-09-30288Wranglers-Silver Knights-
40 - 2025-10-02299Reign-Wranglers-
42 - 2025-10-04315Wranglers-Firebirds-
44 - 2025-10-06324Wranglers-Roadrunners-
45 - 2025-10-07334Marlies-Wranglers-
48 - 2025-10-10353Wranglers-Wolves-
49 - 2025-10-11366SenatorsF-Wranglers-
53 - 2025-10-15391Moose-Wranglers-
56 - 2025-10-18417Barracuda-Wranglers-
58 - 2025-10-20434Wranglers-Roadrunners-
60 - 2025-10-22449Admirals-Wranglers-
62 - 2025-10-24464Wranglers-Monsters-
65 - 2025-10-27479Wranglers-PenguinsF-
66 - 2025-10-28491Bears-Wranglers-
69 - 2025-10-31511Wranglers-Comets-
70 - 2025-11-01523Gulls-Wranglers-
72 - 2025-11-03540Wranglers-Iowa Wild-
75 - 2025-11-06556Silver Knights-Wranglers-
77 - 2025-11-08577Griffins-Wranglers-
78 - 2025-11-09587Wranglers-Wolf Pack-
81 - 2025-11-12606Wranglers-Canucks-
82 - 2025-11-13614Firebirds-Wranglers-
85 - 2025-11-16639Wranglers-Marlies-
87 - 2025-11-18650Eagles-Wranglers-
89 - 2025-11-20662Wranglers-Reign-
91 - 2025-11-22678Griffins-Wranglers-
94 - 2025-11-25700Wranglers-Icehogs-
96 - 2025-11-27712Rocket-Wranglers-
100 - 2025-12-01739Thunderbirds-Wranglers-
103 - 2025-12-04766Iowa Wild-Wranglers-
105 - 2025-12-06778Wranglers-Islanders-
108 - 2025-12-09796Americans-Wranglers-
111 - 2025-12-12819Wranglers-Eagles-
113 - 2025-12-14832StarsF-Wranglers-
115 - 2025-12-16850Wranglers-Crunch-
117 - 2025-12-18862Barracuda-Wranglers-
120 - 2025-12-21889Canucks-Wranglers-
121 - 2025-12-22898Wranglers-Phantoms-
124 - 2025-12-25921BruinsF-Wranglers-
126 - 2025-12-27934Wranglers-Admirals-
129 - 2025-12-30954Iowa Wild-Wranglers-
131 - 2026-01-01971Wranglers-Griffins-
133 - 2026-01-03985Canucks-Wranglers-
134 - 2026-01-04994Wranglers-Marlies-
136 - 2026-01-061008Wranglers-Thunderbirds-
138 - 2026-01-081019Wranglers-Condors-
139 - 2026-01-091026Gulls-Wranglers-
142 - 2026-01-121048Wranglers-Condors-
144 - 2026-01-141061Monsters-Wranglers-
147 - 2026-01-171083Monsters-Wranglers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2026-01-191098Wranglers-Admirals-
151 - 2026-01-211116Wranglers-Gulls-
152 - 2026-01-221122Roadrunners-Wranglers-
154 - 2026-01-241137Wranglers-Thunderbirds-
156 - 2026-01-261150Roadrunners-Wranglers-
158 - 2026-01-281165Wranglers-Iowa Wild-
160 - 2026-01-301180Wranglers-StarsF-
161 - 2026-01-311188Wranglers-Griffins-
163 - 2026-02-021200Condors-Wranglers-
166 - 2026-02-051218Wranglers-Barracuda-
168 - 2026-02-071231Icehogs-Wranglers-
170 - 2026-02-091241Wranglers-Gulls-
172 - 2026-02-111257Wranglers-StarsF-
173 - 2026-02-121267Checkers-Wranglers-
177 - 2026-02-161298Checkers-Wranglers-
182 - 2026-02-211330Icehogs-Wranglers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4530
Assistance6,0003,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 3000 - 100.00% 178,800$536,400$3000125

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
114,963$ 3,525,500$ 3,525,500$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 111,699$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
6,973,200$ 178 19,704$ 3,507,312$




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