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Wranglers
GP: 18 | W: 13 | L: 5 | OTL: 0 | P: 26
GF: 99 | GA: 41 | PP%: 23.53% | PK%: 89.55%
DG: Alex | Morale : 50 | Moyenne d’équipe : 62
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Centre de jeu
Wranglers
13-5-0, 26pts
8
FINAL
1 Ice Hogs
2-16-0, 4pts
Team Stats
W4StreakL9
7-2-0Home Record2-7-0
6-3-0Away Record0-9-0
9-1-0Last 10 Games1-9-0
5.50Buts par match 2.00
2.28Buts contre par match 6.00
23.53%Pourcentage en avantage numérique11.11%
89.55%Pourcentage en désavantage numérique85.00%
Ice Hogs
2-16-0, 4pts
1
FINAL
7 Wranglers
13-5-0, 26pts
Team Stats
L9StreakW4
2-7-0Home Record7-2-0
0-9-0Away Record6-3-0
1-9-0Last 10 Games9-1-0
2.00Buts par match 5.50
6.00Buts contre par match 2.28
11.11%Pourcentage en avantage numérique23.53%
85.00%Pourcentage en désavantage numérique89.55%
Meneurs d'équipe
Buts
Linus Karlsson
18
Passes
Daniil Miromanov
19
Points
Linus Karlsson
30
Plus/Moins
Tye Kartye
26
Jonas JohanssonVictoires
Jonas Johansson
13
Jonas JohanssonPourcentage d’arrêts
Jonas Johansson
0.894

Statistiques d’équipe
Buts pour
99
5.50 GFG
Tirs pour
576
32.00 Avg
Pourcentage en avantage numérique
23.5%
16 GF
Début de zone offensive
41.6%
Buts contre
41
2.28 GAA
Tirs contre
281
15.61 Avg
Pourcentage en désavantage numérique
89.6%%
7 GA
Début de la zone défensive
30.5%
Informations de l'équipe

Directeur généralAlex
EntraîneurMartin Gelinas
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro20
Équipe Mineure18
Limite contact 38 / 50
Espoirs48


Historique d'équipe

Saison actuelle13-5-0 (26PTS)
Historique0-0-0
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Tye Kartye (R)XX100.009556857572619163446166642554556850650232925,000$
2Linus KarlssonX100.007266866666798367506565646244446750630243925,000$
3Reese JohnsonXX100.009199746573576766565757762559596450630261800,000$
4Mike HardmanXX100.008076886576757960505165666244446650620251800,000$
5David GustafssonXX100.007143996873546365746058752557586450620242900,000$
6Rasmus AsplundXX100.007569896169707361766253685061616250620261900,000$
7Benoit-Olivier GroulxX100.008745856973627164655455782551516450620241910,833$
8Brandon BiroX100.006860856660717364506262615944446450610263800,000$
9Mitchell ChaffeeX100.009447956974595863266064652546466650610263900,000$
10Jonah GadjovichX100.008699357478485963255557632558586150600262900,000$
11Kevin BahlX100.008359727284728163255047852560616350700241902,500$
12Jordan HarrisX100.0065418870677278622554488325595962506602411,137,500$
13Wyatt Kaiser (R)X100.0069428071647271622556478325464662506502231,208,333$
14Daniil MiromanovX100.0061428974778158812552547225474764506502731,300,000$
15Steven SantiniX100.008076896576748149254041663955565550620291800,000$
16Alec RegulaX100.007877796577677153254941643946465550600242800,000$
17Blake HillmanX100.007668966568586147253741613944445350560283800,000$
Rayé
1Damien GirouxX100.007062876362626553665151594844445750550242850,000$
MOYENNE D’ÉQUIPE100.00786383687266716142545470365151625062
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
1Jonas Johansson100.006257568465586963656275515163506302921,000,000$
2Kevin Mandolese100.00504556855152505553523044445150540243750,000$
Rayé
MOYENNE D’ÉQUIPE100.0056515685585560595957534848575059
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Martin Gelinas64716668757075CAN51110$


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
1Linus KarlssonWranglers (CGY)RW1518123023008856112732.14%030120.074379420110275052.50%4000031.9900000320
2Benoit-Olivier GroulxWranglers (CGY)C181014242020047285374018.87%434118.974488470000303067.37%28500011.4100000220
3Daniil MiromanovWranglers (CGY)D1541923218011632111412.50%1131020.672351240112144000.00%000001.4800000111
4Wyatt KaiserWranglers (CGY)D1541822211202572851414.29%1230420.331561439000043100.00%000001.4400000002
5Tye KartyeWranglers (CGY)C/LW156152126100242042112214.29%232421.630113340116430057.29%37700001.2900000211
6Mitchell ChaffeeWranglers (CGY)RW181192015120141557154619.30%125614.2301119000041080.00%1500001.5600000010
7David GustafssonWranglers (CGY)C/LW1861319124081348125512.50%832518.07134748000091167.27%5500001.1700000112
8Reese JohnsonWranglers (CGY)C/RW18991818195342450122618.00%433818.781125450005431060.00%3500001.0600100121
9Brandon BiroWranglers (CGY)LW1571118190031841152217.07%125316.8800000000000069.39%14700001.4200000111
10Mike HardmanWranglers (CGY)LW/RW158917189510844132718.18%125817.210001151011200063.64%2200001.3200001102
11Jordan HarrisWranglers (CGY)D1831417912019101871916.67%734619.252351154000050000.00%000000.9800000011
12Kevin BahlWranglers (CGY)D14213151412036161971010.53%931522.56033938000137000.00%000000.9500000120
13Rasmus AsplundWranglers (CGY)C/LW15661220005627132222.22%025917.27011440000091092.86%1400000.9300000001
14Steven SantiniWranglers (CGY)D1826824403331531613.33%828315.7310151400006000.00%000000.5700000000
15Jonah GadjovichWranglers (CGY)RW18347514015132161214.29%11236.88000020002250135.00%2000001.1300000001
16Alec RegulaWranglers (CGY)D15044261553359080.00%823215.4700000000015000.00%000000.3400100000
17Blake HillmanWranglers (CGY)D15011400203010.00%4875.800000200009000.00%000000.2300000000
18Damien GirouxWranglers (CGY)C3011000162130.00%1279.3100000000000062.50%3200000.7200000000
Statistiques d’équipe totales ou en moyenne278991782772951511532820656514938417.52%82468716.86162844894772351642313262.86%104200041.1800201131413
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
1Jonas JohanssonWranglers (CGY)1513200.8941.3489823201880000.00%0150000
Statistiques d’équipe totales ou en moyenne1513200.8941.3489823201880000150000


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Alec RegulaWranglers (CGY)D242000-08-05No203 Lbs6 ft4NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien
Benoit-Olivier GroulxWranglers (CGY)C242000-02-05No198 Lbs6 ft2NoNoNo1Pro & Farm910,833$910,833$0$0$NoLien
Blake HillmanWranglers (CGY)D281996-01-26No181 Lbs6 ft1NoNoNo3Pro & Farm800,000$800,000$0$0$No800,000$800,000$Lien / Lien NHL
Brandon BiroWranglers (CGY)LW261998-03-10No161 Lbs5 ft11NoNoNo3Pro & Farm800,000$800,000$0$0$No800,000$800,000$Lien
Damien GirouxWranglers (CGY)C242000-03-03No177 Lbs5 ft9NoNoNo2Pro & Farm850,000$850,000$0$0$No850,000$Lien
Daniil MiromanovWranglers (CGY)D271997-07-11No202 Lbs6 ft4NoNoNo3Pro & Farm1,300,000$1,300,000$0$0$No1,300,000$1,300,000$Lien
David GustafssonWranglers (CGY)C/LW242000-04-11No196 Lbs6 ft2NoNoNo2Pro & Farm900,000$900,000$0$0$No900,000$Lien / Lien NHL
Jonah GadjovichWranglers (CGY)RW261998-10-12No200 Lbs6 ft2NoNoNo2Pro & Farm900,000$900,000$0$0$No900,000$Lien / Lien NHL
Jonas JohanssonWranglers (CGY)G291995-09-18No205 Lbs6 ft4NoNoNo2Pro & Farm1,000,000$1,000,000$0$0$No1,000,000$Lien / Lien NHL
Jordan HarrisWranglers (CGY)D242000-07-07No189 Lbs5 ft11NoNoNo1Pro & Farm1,137,500$1,137,500$0$0$NoLien
Kevin BahlWranglers (CGY)D242000-06-27No216 Lbs6 ft6NoNoNo1Pro & Farm902,500$902,500$0$0$NoLien
Kevin MandoleseWranglers (CGY)G242000-08-22No200 Lbs6 ft5YesNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien
Linus KarlssonWranglers (CGY)RW241999-11-16No178 Lbs6 ft1NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$Lien
Mike HardmanWranglers (CGY)LW/RW251999-02-05No205 Lbs6 ft2NoNoNo1Pro & Farm800,000$800,000$0$0$NoLien
Mitchell ChaffeeWranglers (CGY)RW261998-01-26No207 Lbs6 ft0NoNoNo3Pro & Farm900,000$900,000$0$0$No900,000$900,000$Lien
Rasmus AsplundWranglers (CGY)C/LW261997-12-03No190 Lbs5 ft11NoNoNo1Pro & Farm900,000$900,000$0$0$NoLien / Lien NHL
Reese JohnsonWranglers (CGY)C/RW261998-07-10No191 Lbs6 ft1NoNoNo1Pro & Farm800,000$800,000$0$0$NoLien / Lien NHL
Steven SantiniWranglers (CGY)D291995-03-07No205 Lbs6 ft2NoNoNo1Pro & Farm800,000$800,000$0$0$NoLien / Lien NHL
Tye KartyeWranglers (CGY)C/LW232001-04-30Yes202 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Wyatt KaiserWranglers (CGY)D222002-07-31Yes172 Lbs6 ft0NoNoNo3Pro & Farm1,208,333$1,208,333$0$0$No1,208,333$1,208,333$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2025.25194 Lbs6 ft12.00915,458$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rasmus AsplundTye KartyeReese Johnson40122
2David GustafssonBenoit-Olivier GroulxLinus Karlsson30122
3Mike HardmanBrandon BiroMitchell Chaffee20122
4Brandon BiroTye KartyeJonah Gadjovich10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin BahlJordan Harris40122
2Daniil MiromanovWyatt Kaiser30122
3Steven SantiniAlec Regula20122
4Blake HillmanKevin Bahl10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rasmus AsplundTye KartyeReese Johnson60122
2David GustafssonBenoit-Olivier GroulxLinus Karlsson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin BahlJordan Harris60122
2Daniil MiromanovWyatt Kaiser40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tye KartyeReese Johnson60122
2Linus KarlssonBenoit-Olivier Groulx40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin BahlJordan Harris60122
2Daniil MiromanovWyatt Kaiser40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tye Kartye60122Kevin BahlJordan Harris60122
2Reese Johnson40122Daniil MiromanovWyatt Kaiser40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tye KartyeReese Johnson60122
2Linus KarlssonBenoit-Olivier Groulx40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin BahlJordan Harris60122
2Daniil MiromanovWyatt Kaiser40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rasmus AsplundTye KartyeReese JohnsonKevin BahlJordan Harris
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rasmus AsplundTye KartyeReese JohnsonKevin BahlJordan Harris
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mike Hardman, Mitchell Chaffee, Jonah GadjovichMike Hardman, Mitchell ChaffeeJonah Gadjovich
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Steven Santini, Alec Regula, Blake HillmanSteven SantiniAlec Regula, Blake Hillman
Tirs de pénalité
Tye Kartye, Reese Johnson, Linus Karlsson, Benoit-Olivier Groulx, Rasmus Asplund
Gardien
#1 : Jonas Johansson, #2 : Kevin Mandolese
Lignes d’attaque personnalisées en prolongation
Tye Kartye, Reese Johnson, Linus Karlsson, Benoit-Olivier Groulx, Rasmus Asplund, David Gustafsson, David Gustafsson, Mike Hardman, Brandon Biro, Mitchell Chaffee, Jonah Gadjovich
Lignes de défense personnalisées en prolongation
Kevin Bahl, Jordan Harris, Daniil Miromanov, Wyatt Kaiser, Steven Santini


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
1 Americans2110000079-21010000016-51100000063320.500712190041312704318119420105614223011327.27%11190.91%031445569.01%17733452.99%18130559.34%58345529993197117
2Admirals2200000013211110000005141100000081741.00013233600413127081181194201021564210330.00%30100.00%031445569.01%17733452.99%18130559.34%58345529993197117
3Firebirds220000001911811000000100101100000091841.00019365501413127090181194201015416374250.00%80100.00%031445569.01%17733452.99%18130559.34%58345529993197117
4Ice Hogs2200000015213110000007161100000081741.0001529440041312709518119420101681139100.00%30100.00%131445569.01%17733452.99%18130559.34%58345529993197117
5Moose21100000642110000004131010000023-120.500610160041312702918119420104913283410110.00%14192.86%131445569.01%17733452.99%18130559.34%58345529993197117
6Silver Knights20200000611-51010000012-11010000059-400.000691500413127035181194201041519327342.86%6266.67%031445569.01%17733452.99%18130559.34%58345529993197117
7Stars2110000046-2110000004041010000006-620.5004711014131270511811942010421716371000.00%80100.00%031445569.01%17733452.99%18130559.34%58345529993197117
8Thunderbirds2200000016115110000009181100000070741.000162743014131270101181194201012921476233.33%70100.00%031445569.01%17733452.99%18130559.34%58345529993197117
9Wild220000001358110000006241100000073441.000132538004131270511811942010291120369222.22%7357.14%031445569.01%17733452.99%18130559.34%58345529993197117
Total18135000009941589720000047143396300000522725260.72299178277034131270576181194201028186159334681623.53%67789.55%231445569.01%17733452.99%18130559.34%58345529993197117
_Since Last GM Reset18135000009941589720000047143396300000522725260.72299178277034131270576181194201028186159334681623.53%67789.55%231445569.01%17733452.99%18130559.34%58345529993197117
_Vs Conference18135000009941589720000047143396300000522725260.72299178277034131270576181194201028186159334681623.53%67789.55%231445569.01%17733452.99%18130559.34%58345529993197117

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1826W4991782775762818615933403
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1813500009941
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
97200004714
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
96300005227
Derniers 10 matchs
WLOTWOTL SOWSOL
910000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
681623.53%67789.55%2
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
18119420104131270
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
31445569.01%17733452.99%18130559.34%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
58345529993197117


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2024-09-2313Wranglers5Silver Knights9ALSommaire du match
2 - 2024-09-2421 Americans6Wranglers1BLSommaire du match
4 - 2024-09-2640Wranglers0Stars6ALSommaire du match
5 - 2024-09-2751Wranglers2Moose3ALSommaire du match
6 - 2024-09-2861Moose1Wranglers4BWSommaire du match
7 - 2024-09-2977Wranglers9Firebirds1AWSommaire du match
8 - 2024-09-3095Firebirds0Wranglers10BWSommaire du match
10 - 2024-10-02113Wild2Wranglers6BWSommaire du match
11 - 2024-10-03130Wranglers7Wild3AWSommaire du match
12 - 2024-10-04147Thunderbirds1Wranglers9BWSommaire du match
13 - 2024-10-05157Wranglers6 Americans3AWSommaire du match
14 - 2024-10-06172Wranglers8Admirals1AWSommaire du match
16 - 2024-10-08192Stars0Wranglers4BWSommaire du match
17 - 2024-10-09210Silver Knights2Wranglers1BLSommaire du match
19 - 2024-10-11225Wranglers7Thunderbirds0AWSommaire du match
20 - 2024-10-12245Admirals1Wranglers5BWSommaire du match
22 - 2024-10-14259Wranglers8Ice Hogs1AWSommaire du match
24 - 2024-10-16277Ice Hogs1Wranglers7BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets1000
Assistance00
Assistance PCT0.00%0.00%

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

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,830,916$ 1,830,916$ 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$ 1 0$ 0$




Wranglers Leaders statistiques (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 (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