Connexion

Wranglers
GP: 29 | W: 15 | L: 10 | OTL: 4 | P: 34
GF: 87 | GA: 83 | PP%: 13.33% | PK%: 77.91%
DG: Francois Legault | Morale : 40 | Moyenne d’équipe : 64
Prochains matchs #353 vs Bruins
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Centre de jeu
Bruins
17-9-3, 37pts
4
FINAL
1 Wranglers
15-10-4, 34pts
Team Stats
W2SéquenceL3
7-4-3Fiche domicile7-6-2
10-5-0Fiche domicile8-4-2
6-3-1Derniers 10 matchs6-3-1
3.07Buts par match 3.00
2.59Buts contre par match 2.86
21.95%Pourcentage en avantage numérique13.33%
77.06%Pourcentage en désavantage numérique77.91%
Marlies
20-8-1, 41pts
4
FINAL
1 Wranglers
15-10-4, 34pts
Team Stats
W4SéquenceL3
10-4-0Fiche domicile7-6-2
10-4-1Fiche domicile8-4-2
7-2-1Derniers 10 matchs6-3-1
3.55Buts par match 3.00
2.31Buts contre par match 2.86
22.40%Pourcentage en avantage numérique13.33%
83.95%Pourcentage en désavantage numérique77.91%
Wranglers
15-10-4, 34pts
2025-02-15
Bruins
17-9-3, 37pts
Statistiques d’équipe
L3SéquenceW2
7-6-2Fiche domicile7-4-3
8-4-2Fiche visiteur10-5-0
6-3-110 derniers matchs6-3-1
3.00Buts par match 3.07
2.86Buts contre par match 3.07
13.33%Pourcentage en avantage numérique21.95%
77.91%Pourcentage en désavantage numérique77.06%
Wranglers
15-10-4, 34pts
2025-02-17
Eagles
16-8-5, 37pts
Statistiques d’équipe
L3SéquenceL1
7-6-2Fiche domicile5-6-4
8-4-2Fiche visiteur11-2-1
6-3-110 derniers matchs3-4-3
3.00Buts par match 3.17
2.86Buts contre par match 3.17
13.33%Pourcentage en avantage numérique19.63%
77.91%Pourcentage en désavantage numérique85.51%
Wranglers
15-10-4, 34pts
2025-02-19
IceHogs
19-7-3, 41pts
Statistiques d’équipe
L3SéquenceSOL1
7-6-2Fiche domicile9-3-3
8-4-2Fiche visiteur10-4-0
6-3-110 derniers matchs8-1-1
3.00Buts par match 2.97
2.86Buts contre par match 2.97
13.33%Pourcentage en avantage numérique22.12%
77.91%Pourcentage en désavantage numérique82.46%
Meneurs d'équipe
Buts
Samuel Fagemo
10
Passes
Zac Jones
21
Points
Calen Addison
26
Plus/Moins
Ryan Shea
7
Victoires
Justus Annunen
10
Pourcentage d’arrêts
Justus Annunen
0.913

Statistiques d’équipe
Buts pour
87
3.00 GFG
Tirs pour
796
27.45 Avg
Pourcentage en avantage numérique
13.3%
16 GF
Début de zone offensive
41.1%
Buts contre
83
2.86 GAA
Tirs contre
809
27.90 Avg
Pourcentage en désavantage numérique
77.9%%
19 GA
Début de la zone défensive
39.6%
Informations de l'équipe

Directeur généralFrancois Legault
EntraîneurSheldon Keefe
DivisionPacific Division
ConférenceConférence Ouest
CapitaineDevin Shore
Assistant #1Jaret Anderson-Dolan
Assistant #2Joseph Gambardella


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro26
Équipe Mineure20
Limite contact 46 / 70
Espoirs35


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
1Jaret Anderson-Dolan (A)0XXX100.00694082738081766750636167677565040670262750,000$
2Joshua Roy (R)0XX97.00624084758183656940656466695250040670223854,167$
3Jonah Gadjovich0XX99.00769050728575736740626265676555040660272810,000$
4Egor Afanasyev0XX100.00704762717065636645646468675150040650252896,667$
5Samuel Fagemo0XX100.00644270726465636747617062705250040640251866,667$
6Ethen Frank0X100.00584174716268666545616460675450040630281750,000$
7Joseph Gambardella (A)0XX100.00613886597074875866595756586971040610301750,000$
8Martin Chromiak0X100.00624368686465636444615860635050040610232820,000$
9Jan Mysak0XX100.00544272656064626159535750615050040570232902,500$
10Kody Clark0X100.0011111111111111104060261863,333$
11Calen Addison0X98.00694266787385837540756273726555040720251910,833$
12Nils Lundkvist0X100.006745897581837875407664717160500407202511,775,000$
13Zac Jones0X99.00634082787583737040676469716555040700253812,500$
14Ryan Shea0X100.00624082738181656740606270675250040670291775,000$
15Cale Fleury0X99.00684272686567656640645770645350040650273800,000$
16Ian Mitchell0X100.00594270725866646240615768645350040630273775,000$
Rayé
1Taylor Raddysh0X96.00764588758386807550696573726050040710272758,333$
2Devin Shore (C)0X95.00734082718276796755636166668373040680311775,000$
3Jack Studnicka0XX95.00724082747882756664606166677060040670262762,500$
4Ty Smith0X100.00544367726066646740655967665250040630253775,000$
5Ville Heinola0X100.006042707362625963406160686551500406302411,075,834$
6Peetro Seppala0X100.00664173676564625840555268595150040620251925,000$
7Markus Niemelainen0X100.00644171656965625840515266585450040610271762,500$
MOYENNE D’ÉQUIPE99.0462427168687066634460586363565204063
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
1Michael Hutchinson0100.0069717564696871676971687063040680351775,000$
2Cal Petersen0100.0075697060696971686971686053040680311858,333$
Rayé
1Justus Annunen096.00837372887781818382777460530407802521,050,000$
MOYENNE D’ÉQUIPE98.677671727172737473737370635604071
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Sheldon Keefe8084948678751CAN441575,000$


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
1Calen AddisonWranglers (CGY)D2962026-3375784058194410.34%3976426.3752734104000048000%000000.6800010211
2Zac JonesWranglers (CGY)D2932124228055465218375.77%4073425.331562494000054000%000000.6500000041
3Taylor RaddyshWranglers (CGY)RW2751722-6181049598518725.88%861222.6733630840003520042.32%26700000.7201002001
4Ryan SheaWranglers (CGY)D2961218710033296216389.68%3368923.793033195000159100%000000.5200000210
5Joshua RoyWranglers (CGY)LW/RW2971017-29524487926748.86%760220.7711216980000260134.25%7300000.5602001012
6Jaret Anderson-DolanWranglers (CGY)C/LW/RW297916620194557175012.28%553118.3304410800001473040.59%10100000.6000000012
7Jonah GadjovichWranglers (CGY)LW/RW29510151240101467821466.41%556419.46033161020000121033.33%3900000.5300000202
8Jack StudnickaWranglers (CGY)C/RW297714-2100267851153313.73%463221.800227850001351054.52%59800000.4400000102
9Egor AfanasyevWranglers (CGY)C/LW2977144175484046133015.22%339513.631236510000183040.34%35200000.7111100012
10Samuel FagemoWranglers (CGY)LW/RW291031364018324993420.41%534711.970003360001391146.51%8600000.7502000112
11Devin ShoreWranglers (CGY)C297512-380375551203313.73%762321.521124730001431151.51%46400000.3802000022
12Nils LundkvistWranglers (CGY)D2701212-517526443211270%2356420.910331871000046000%000000.4300001000
13Ethen FrankWranglers (CGY)C2910111613518343772527.03%12789.6000000000002140.45%26700000.7900001300
14Cale FleuryWranglers (CGY)D25268710038211851011.11%3142116.850001139000043020%000000.3800000011
15Joseph GambardellaWranglers (CGY)C/LW2934772020121731117.65%229610.2300000000041060.00%3000000.4700000000
16Martin ChromiakWranglers (CGY)RW24044200788290%11094.5700000000000033.33%300000.7300000010
17Ty SmithWranglers (CGY)D1111202091460516.67%1014313.0710111000012000%000000.2800000000
18Jan MysakWranglers (CGY)C/LW29022320366140%11495.16000122000000046.67%4500000.2700000000
19Ian MitchellWranglers (CGY)D9011120622020%2758.340002300008000%000000.2700000000
20Kody ClarkWranglers (CGY)RW7000200000000%010.270000000000000%00000000000000
21Ville HeinolaWranglers (CGY)D15000220652440%7956.360001900006000%00000000000000
Statistiques d’équipe totales ou en moyenne52286152238352173562166479622558810.80%234863416.541626422151056000856014646.75%232500000.5518115111418
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
1Justus AnnunenWranglers (CGY)2010730.9132.45122302505780200.7508208210
2Cal PetersenWranglers (CGY)95310.8473.69504203120300000920000
3Michael HutchinsonWranglers (CGY)10001.000042000280000001000
Statistiques d’équipe totales ou en moyenne30151040.9002.751770228180902082929210


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Cal PetersenWranglers (CGY)G311993-10-19USANo180 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm858,333$0$0$No---------------------------
Cale FleuryWranglers (CGY)D271997-11-19CANNo205 Lbs6 ft1NoNoN/ANoNo32024-08-23FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien NHL
Calen AddisonWranglers (CGY)D251999-04-11CANNo173 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm910,833$0$0$No---------------------------
Devin ShoreWranglers (CGY)C311993-07-19CANNo206 Lbs6 ft1NoNoAssign ManuallyYesYes12024-11-24FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Egor AfanasyevWranglers (CGY)C/LW252000-01-23RUSNo209 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm896,667$0$0$No896,667$--------896,667$--------No--------
Ethen FrankWranglers (CGY)C281997-02-05USANo185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------
Ian MitchellWranglers (CGY)D271998-01-18CANNo173 Lbs5 ft11NoNoN/ANoNo32024-08-23FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Jack StudnickaWranglers (CGY)C/RW261998-02-18CANNo187 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm762,500$0$0$No762,500$--------762,500$--------No--------Lien NHL
Jan MysakWranglers (CGY)C/LW232001-06-24CZENo175 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm902,500$0$0$No902,500$--------902,500$--------No--------
Jaret Anderson-DolanWranglers (CGY)C/LW/RW261998-09-12CANNo200 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien NHL
Jonah GadjovichWranglers (CGY)LW/RW271997-10-12CANNo209 Lbs6 ft2NoNoTrade2024-03-05NoNo22024-08-23FalseFalsePro & Farm810,000$0$0$No810,000$--------810,000$--------No--------Lien NHL
Joseph GambardellaWranglers (CGY)C/LW301994-12-01USANo196 Lbs5 ft10NoNoN/AYesYes12024-08-23FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Joshua RoyWranglers (CGY)LW/RW222002-08-06CANYes192 Lbs6 ft0NoNoProspectNoNo32024-08-23FalseFalsePro & Farm854,167$0$0$No854,167$854,167$-------854,167$854,167$-------NoNo-------
Justus AnnunenWranglers (CGY)G251999-03-11FINNo210 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm1,050,000$0$0$No1,050,000$--------1,050,000$--------No--------
Kody ClarkWranglers (CGY)RW261998-10-13USANo188 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm863,333$0$0$No---------------------------Lien NHL
Markus NiemelainenWranglers (CGY)D271997-06-08FINNo203 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm762,500$0$0$No---------------------------
Martin ChromiakWranglers (CGY)RW232001-08-20SLVNo190 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm820,000$0$0$No820,000$--------820,000$--------No--------
Michael HutchinsonWranglers (CGY)G351989-03-02CANNo200 Lbs6 ft3NoNoN/ANoNo12024-08-23FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Nils LundkvistWranglers (CGY)D251999-07-27SWENo190 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,775,000$0$0$No---------------------------
Peetro SeppalaWranglers (CGY)D251999-08-17FINNo192 Lbs6 ft2NoNoAssign ManuallyNoNo12024-11-24FalseFalsePro & Farm925,000$0$0$No---------------------------
Ryan SheaWranglers (CGY)D291996-02-11USANo200 Lbs6 ft2NoNoAssign ManuallyNoNo12024-11-24FalseFalsePro & Farm775,000$0$0$No---------------------------
Samuel FagemoWranglers (CGY)LW/RW251999-03-14SWENo200 Lbs6 ft0NoNoN/ANoNo12024-08-23FalseFalsePro & Farm866,667$0$0$No---------------------------
Taylor RaddyshWranglers (CGY)RW271997-02-18CANNo198 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm758,333$0$0$No758,333$--------758,333$--------No--------Lien NHL
Ty SmithWranglers (CGY)D251999-03-24CANNo180 Lbs5 ft11NoNoN/ANoNo32024-08-23FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Ville HeinolaWranglers (CGY)D242000-03-02FINNo181 Lbs5 ft11NoNoN/ANoNo12024-08-23FalseFalsePro & Farm1,075,834$0$0$No---------------------------
Zac JonesWranglers (CGY)D251999-10-18USANo176 Lbs5 ft10NoNoN/ANoNo32024-08-23FalseFalsePro & Farm812,500$0$0$No812,500$812,500$-------812,500$812,500$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2626.50192 Lbs6 ft11.69870,353$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joshua RoyEgor AfanasyevJaret Anderson-Dolan40122
2Jonah Gadjovich30122
3Samuel FagemoJoshua Roy20122
4Joseph GambardellaEthen FrankJoshua Roy10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calen AddisonCale Fleury40122
2Zac JonesRyan Shea30122
3Zac JonesNils Lundkvist20122
4Zac JonesRyan Shea10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jan MysakJoshua Roy60122
2Samuel FagemoJonah Gadjovich40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calen AddisonCale Fleury60122
2Zac JonesRyan Shea40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Jonah GadjovichSamuel Fagemo40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nils LundkvistCale Fleury60122
2Zac JonesRyan Shea40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Calen AddisonCale Fleury60122
2Samuel Fagemo40122Zac JonesRyan Shea40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Jan MysakSamuel Fagemo40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nils LundkvistCale Fleury60122
2Zac JonesRyan Shea40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joshua RoyCalen AddisonZac Jones
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joshua RoyCalen AddisonZac Jones
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jan Mysak, , Samuel FagemoJan Mysak, Samuel FagemoSamuel Fagemo
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Shea, Cale Fleury, Zac JonesZac JonesRyan Shea, Zac Jones
Tirs de pénalité
Samuel Fagemo, Jonah Gadjovich, , , Joshua Roy
Gardien
#1 : Cal Petersen, #2 : Michael Hutchinson
Lignes d’attaque personnalisées en prolongation
Joseph Gambardella, Egor Afanasyev, Joshua Roy, , , Jonah Gadjovich, Jonah Gadjovich, Jaret Anderson-Dolan, Samuel Fagemo, Ethen Frank, Jan Mysak
Lignes de défense personnalisées en prolongation
Calen Addison, Nils Lundkvist, Zac Jones, Ryan Shea, Cale Fleury


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
1Admirals330000001028220000007251100000030361.0001020300131232857624525827625491720707114.29%10190.00%045993948.88%43690448.23%19244143.54%707490683218380191
2Bruins20200000610-41010000014-31010000056-100.000611170031232855424525827625602322328225.00%10280.00%045993948.88%43690448.23%19244143.54%707490683218380191
3Comets10001000541000000000001000100054121.00059140031232852924525827625378822600.00%4175.00%045993948.88%43690448.23%19244143.54%707490683218380191
4Crunch320010001275210010007431100000053261.00012213300312328590245258276258232167418316.67%60100.00%045993948.88%43690448.23%19244143.54%707490683218380191
5Eagles30201000811-32020000048-41000100043120.3338101800312328593245258276251033316711100.00%8187.50%045993948.88%43690448.23%19244143.54%707490683218380191
6Firebirds11000000541110000005410000000000021.000591400312328517245258276252541013300.00%4175.00%045993948.88%43690448.23%19244143.54%707490683218380191
7Griffins1000010045-1000000000001000010045-110.5004610003123285362452582762519321208112.50%2150.00%045993948.88%43690448.23%19244143.54%707490683218380191
8Gulls1000000134-11000000134-10000000000010.5003690031232852324525827625147418300.00%220.00%045993948.88%43690448.23%19244143.54%707490683218380191
9IceHogs2010010035-22010010035-20000000000010.25035800312328553245258276256999431000.00%2150.00%045993948.88%43690448.23%19244143.54%707490683218380191
10Manitoba Moose1010000012-1000000000001010000012-100.00012300312328523245258276253182284125.00%10100.00%045993948.88%43690448.23%19244143.54%707490683218380191
11Marlies1010000014-31010000014-30000000000000.0001230031232853224525827625409617200.00%3166.67%045993948.88%43690448.23%19244143.54%707490683218380191
12Monsters20001001660000000000002000100166030.750612180031232855424525827625469174710330.00%5180.00%045993948.88%43690448.23%19244143.54%707490683218380191
13Reign11000000321000000000001100000032121.000358003123285272452582762529111321500.00%4175.00%045993948.88%43690448.23%19244143.54%707490683218380191
14Rocket11000000532110000005320000000000021.0005101500312328524245258276254036192150.00%3166.67%045993948.88%43690448.23%19244143.54%707490683218380191
15Senators1010000012-1000000000001010000012-100.000123003123285152452582762528812143133.33%6266.67%045993948.88%43690448.23%19244143.54%707490683218380191
16Stars21100000660000000000002110000066020.5006915003123285492452582762563246477114.29%30100.00%045993948.88%43690448.23%19244143.54%707490683218380191
17Wolf Pack2010001023-12010001023-10000000000020.500224013123285632452582762541151243700.00%6183.33%045993948.88%43690448.23%19244143.54%707490683218380191
18Wolves11000000633000000000001100000063321.000611170031232853824525827625331119226233.33%7271.43%045993948.88%43690448.23%19244143.54%707490683218380191
Total29101004212878341556011113841-314540310149427340.58687152239023123285796245258276258092342196211201613.33%861977.91%045993948.88%43690448.23%19244143.54%707490683218380191
_Since Last GM Reset29101004212878341556011113841-314540310149427340.58687152239023123285796245258276258092342196211201613.33%861977.91%045993948.88%43690448.23%19244143.54%707490683218380191
_Vs Conference1645041115152-1824010101923-48210310132293200.62551851360131232854632452582762544213813534376911.84%49981.63%045993948.88%43690448.23%19244143.54%707490683218380191
_Vs Division822030012727031200000912-35100300118153110.6882745720031232852202452582762524065641743538.57%25580.00%045993948.88%43690448.23%19244143.54%707490683218380191

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2934L38715223979680923421962102
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
29101042128783
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
155611113841
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
145431014942
Derniers 10 matchs
WLOTWOTL SOWSOL
431110
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1201613.33%861977.91%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
245258276253123285
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
45993948.88%43690448.23%19244143.54%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
707490683218380191


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
3 - 2024-12-226Wranglers6Wolves3WSommaire du match
4 - 2024-12-2314Wranglers3Reign2WSommaire du match
6 - 2024-12-2526Eagles4Wranglers2LSommaire du match
8 - 2024-12-2738Crunch3Wranglers4WXSommaire du match
10 - 2024-12-2950Wranglers4Griffins5LXSommaire du match
12 - 2024-12-3163Gulls4Wranglers3LXXSommaire du match
14 - 2025-01-0279Eagles4Wranglers2LSommaire du match
16 - 2025-01-0486Wranglers1Manitoba Moose2LSommaire du match
18 - 2025-01-0698Wranglers2Monsters3LXXSommaire du match
20 - 2025-01-08114Wolf Pack3Wranglers1LSommaire du match
22 - 2025-01-10123Wranglers1Stars4LSommaire du match
24 - 2025-01-12136Wranglers5Comets4WXSommaire du match
26 - 2025-01-14146IceHogs2Wranglers1LSommaire du match
28 - 2025-01-16159Admirals1Wranglers2WSommaire du match
30 - 2025-01-18175Wranglers5Stars2WSommaire du match
32 - 2025-01-20186Firebirds4Wranglers5WSommaire du match
34 - 2025-01-22196Wranglers5Bruins6LSommaire du match
35 - 2025-01-23205Wranglers4Monsters3WXSommaire du match
37 - 2025-01-25215Admirals1Wranglers5WSommaire du match
39 - 2025-01-27228Wolf Pack0Wranglers1WXXSommaire du match
41 - 2025-01-29241Wranglers3Admirals0WSommaire du match
43 - 2025-01-31252Crunch1Wranglers3WSommaire du match
45 - 2025-02-02263Wranglers5Crunch3WSommaire du match
47 - 2025-02-04276Rocket3Wranglers5WSommaire du match
50 - 2025-02-07293IceHogs3Wranglers2LXSommaire du match
51 - 2025-02-08306Wranglers4Eagles3WXSommaire du match
53 - 2025-02-10316Wranglers1Senators2LSommaire du match
55 - 2025-02-12330Bruins4Wranglers1LSommaire du match
56 - 2025-02-13342Marlies4Wranglers1LSommaire du match
58 - 2025-02-15353Wranglers-Bruins-
60 - 2025-02-17368Wranglers-Eagles-
62 - 2025-02-19376Wranglers-IceHogs-
64 - 2025-02-21388Comets-Wranglers-
66 - 2025-02-23399Wolves-Wranglers-
67 - 2025-02-24413Wranglers-Checkers-
69 - 2025-02-26424Stars-Wranglers-
71 - 2025-02-28437Wranglers-Wolves-
73 - 2025-03-02446Marlies-Wranglers-
75 - 2025-03-04463Gulls-Wranglers-
76 - 2025-03-05472Wranglers-Wolves-
78 - 2025-03-07486Griffins-Wranglers-
79 - 2025-03-08491Wranglers-Penguins-
81 - 2025-03-10506Wranglers-Marlies-
83 - 2025-03-12519Wranglers-Stars-
84 - 2025-03-13528Senators-Wranglers-
86 - 2025-03-15545Penguins-Wranglers-
88 - 2025-03-17554Wranglers-Gulls-
90 - 2025-03-19568Eagles-Wranglers-
92 - 2025-03-21583Americans-Wranglers-
93 - 2025-03-22598Wranglers-Americans-
95 - 2025-03-24610Rocket-Wranglers-
97 - 2025-03-26621Wranglers-Manitoba Moose-
99 - 2025-03-28632Wranglers-Reign-
100 - 2025-03-29642Reign-Wranglers-
102 - 2025-03-31655Wranglers-Reign-
103 - 2025-04-01665Firebirds-Wranglers-
105 - 2025-04-03679Manitoba Moose-Wranglers-
106 - 2025-04-04691Wranglers-Rocket-
109 - 2025-04-07707Reign-Wranglers-
110 - 2025-04-08719Wranglers-Crunch-
112 - 2025-04-10727Americans-Wranglers-
113 - 2025-04-11739Wranglers-Penguins-
115 - 2025-04-13750Comets-Wranglers-
116 - 2025-04-14761Wranglers-Silver Knights-
118 - 2025-04-16776Wranglers-Senators-
119 - 2025-04-17785Wranglers-Monsters-
121 - 2025-04-19796Firebirds-Wranglers-
122 - 2025-04-20811Condors-Wranglers-
124 - 2025-04-22822Wranglers-Condors-
125 - 2025-04-23830Monsters-Wranglers-
127 - 2025-04-25845Monsters-Wranglers-
129 - 2025-04-27859Wranglers-Griffins-
131 - 2025-04-29873Checkers-Wranglers-
133 - 2025-05-01890Wranglers-Comets-
134 - 2025-05-02891Wranglers-Wolf Pack-
136 - 2025-05-04906Condors-Wranglers-
138 - 2025-05-06922Silver Knights-Wranglers-
140 - 2025-05-08939Silver Knights-Wranglers-
141 - 2025-05-09941Wranglers-Firebirds-
143 - 2025-05-11960Wranglers-Comets-
144 - 2025-05-12963Wranglers-Firebirds-
147 - 2025-05-15982Checkers-Wranglers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
26 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 22,629,168$ 22,629,168$ 575,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 91 156,785$ 14,267,435$




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