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Wranglers
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Marc Gaudreault | Morale : 50 | Moyenne d’équipe : 70

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralMarc Gaudreault
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité5,000
Assistance
Billets de saison5,000


Informations de la formation

Équipe Pro17
Équipe Mineure18
Limite contact 35 / 55
Espoirs57


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
1Aliaksei Protas0XXX100.005550997098689279698579704565680508602343,293,750$
2Benoit-Olivier Groulx0XXX100.00676373738857687373666463446567050740241750,000$
3Brennan Othmann0X100.00855099689542685958736367446264050730212863,334$
4Joshua Roy0XX100.00574799679347665861716872436265050730202835,000$
5Cole Schwindt0X100.00784899679335675777716267436566050720233858,000$
6William Lockwood0X100.00555075668561706355686365456769050720261750,000$
7Matthew Strome0X100.00605775608069716054686057456668050690252750,000$
8Jan Mysak0X100.00555075658080826065686350456365050690223798,250$
9Shawn Element0XXX100.00696575608075776055686050456567050690243750,000$
10Adam Sykora0X100.00555075608083856060686050456163050680192925,000$
11Filip Kral (R)0X100.00555075618072736730686050456668050690241925,000$
12Elias Salomonsson (R)0X100.00555075628062706830686050456163050690193925,000$
13Gustav Olofsson0X100.00555075608060706030686054457173050670291883,500$
14Riley Stillman0X100.00726771577655675730655748436769050650261750,000$
15Matteo Pietroniro0X100.00706571577655675730655748436769050650252750,000$
Rayé
MOYENNE D’ÉQUIPE100.0063548164846173635269625744656705071
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
1Jeremy Brodeur0100.0058585365636869626258736983050630273780,000$
Rayé
1Dylan Ferguson (R)0100.00616153627267666861615367770506502500$
MOYENNE D’ÉQUIPE100.006060536468686865626063688005064
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
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


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 Salaire restantPlafond 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 SykoraWranglers (CGY)LW192004-09-07SVKNo179 Lbs5 ft10NoNoProspectNoNo22025-09-27FalseFalsePro & Farm925,000$925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Aliaksei ProtasWranglers (CGY)C/LW/RW232001-01-06BLRNo247 Lbs6 ft6NoNoN/ANoYes42025-09-27FalseFalseFarm Only3,293,750$3,293,750$0$0$No3,293,750$3,293,750$3,293,750$------3,293,750$3,293,750$3,293,750$------NoNoNo------Lien / Lien NHL
Benoit-Olivier GroulxWranglers (CGY)C/LW/RW242000-02-06CANNo202 Lbs6 ft2NoNoFree AgentNoNo12025-09-27FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------Lien / Lien NHL
Brennan OthmannWranglers (CGY)LW212003-01-05CANNo192 Lbs6 ft0NoNoProspectNoNo22025-09-27FalseFalsePro & Farm863,334$863,334$0$0$No863,334$--------863,334$--------No--------Lien / Lien NHL
Cole SchwindtWranglers (CGY)RW232001-04-25CANNo203 Lbs6 ft2NoNoN/ANoNo32025-09-27FalseFalseFarm Only858,000$858,000$0$0$No858,000$858,000$-------858,000$858,000$-------NoNo-------Lien / Lien NHL
Dylan FergusonWranglers (CGY)G251998-09-20CANYes194 Lbs6 ft2NoNoDraftNoNo02025-07-15FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Elias SalomonssonWranglers (CGY)D192004-08-31SWEYes189 Lbs6 ft2NoNoProspectNoNo32025-09-27FalseFalsePro & Farm925,000$925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Filip KralWranglers (CGY)D241999-10-20CZEYes192 Lbs6 ft2NoNoDraftNoNo12025-09-27FalseFalsePro & Farm925,000$925,000$0$0$No---------------------------Lien / Lien NHL
Gustav OlofssonWranglers (CGY)D291994-12-01SWENo199 Lbs6 ft2NoNoN/ANoNo12025-09-27FalseFalsePro & Farm883,500$883,500$0$0$No---------------------------Lien / Lien NHL
Jan MysakWranglers (CGY)C222002-06-24CZENo192 Lbs5 ft11NoNoN/ANoNo32025-09-27FalseFalsePro & Farm798,250$798,250$0$0$No798,250$798,250$-------798,250$798,250$-------NoNo-------Lien / Lien NHL
Jeremy BrodeurWranglers (CGY)G271996-10-29USANo185 Lbs6 ft0NoNoFree AgentNoNo32025-09-27FalseFalsePro & Farm780,000$780,000$0$0$No780,000$780,000$-------780,000$780,000$-------NoNo-------Lien / Lien NHL
Joshua RoyWranglers (CGY)LW/RW202003-08-06CANNo192 Lbs6 ft0NoNoProspectNoNo22025-09-27FalseFalsePro & Farm835,000$835,000$0$0$No835,000$--------835,000$--------No--------Lien / Lien NHL
Matteo PietroniroWranglers (CGY)D251998-10-20USANo195 Lbs6 ft1NoNoFree AgentNoNo22025-09-27FalseFalsePro & Farm750,000$750,000$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
Matthew StromeWranglers (CGY)RW251999-01-06CANNo206 Lbs6 ft4NoNoN/ANoNo22025-09-27FalseFalsePro & Farm750,000$750,000$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
Riley StillmanWranglers (CGY)D261998-03-09CANNo207 Lbs6 ft2NoNoFree AgentNoNo12025-09-27FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------Lien / Lien NHL
Shawn ElementWranglers (CGY)C/LW/RW242000-04-23CANNo201 Lbs5 ft11NoNoFree AgentNoNo32025-09-27FalseFalsePro & Farm750,000$750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien / Lien NHL
William LockwoodWranglers (CGY)RW261998-06-20USANo185 Lbs5 ft11NoNoN/ANoNo12025-09-27FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1723.65198 Lbs6 ft12.00916,873$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Aliaksei ProtasWilliam Lockwood30122
2Cole Schwindt30122
3Brennan OthmannAdam Sykora20122
4Aliaksei ProtasCole SchwindtWilliam Lockwood20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Riley StillmanMatteo Pietroniro30122
230122
320122
4Matteo Pietroniro20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Aliaksei ProtasWilliam Lockwood50122
2Cole Schwindt50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Riley StillmanMatteo Pietroniro50122
250122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Aliaksei ProtasWilliam Lockwood50122
2Cole Schwindt50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matteo Pietroniro50122
250122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Aliaksei Protas50122Riley Stillman50122
2William Lockwood50122Matteo Pietroniro50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Aliaksei ProtasWilliam Lockwood50122
2Cole Schwindt50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
150122
2Matteo Pietroniro50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Aliaksei ProtasWilliam LockwoodRiley StillmanMatteo Pietroniro
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Aliaksei ProtasWilliam LockwoodRiley StillmanMatteo Pietroniro
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, William Lockwood, Aliaksei Protas, William LockwoodAliaksei Protas
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Matteo PietroniroMatteo Pietroniro, Matteo Pietroniro
Tirs de pénalité
Aliaksei Protas, William Lockwood, Cole Schwindt, Brennan Othmann,
Gardien
#1 : Jeremy Brodeur, #2 :
Lignes d’attaque personnalisées en prolongation
Aliaksei Protas, William Lockwood, Cole Schwindt, Brennan Othmann, , Adam Sykora, , , ,
Lignes de défense personnalisées en prolongation
, , Matteo Pietroniro, Riley Stillman,


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
0000000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%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
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité35001500
Prix des billets5025
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0%0$0$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 0$ 0$ 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$ 0 0$ 0$




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