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Wranglers
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Martin Landry | Morale : 40 | Moyenne d’équipe : 62
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralMartin Landry
DivisionDivision 5
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison0


Informations de la formation

Équipe Pro15
Équipe Mineure21
Limite contact 36 / 250
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
1William CarrierX100.008652877377765164575368595078660406903021,000,000$
2Josh Doan (R)X100.00535090636777305538647058415671040670223925,000$
3Joel KivirantaX100.0066518968627071555061586651706104066N0281775,000$
4Karson KuhlmanX100.00615190735860555645505466487261040640292700,000$
5Anders BjorkX100.005152647365605564455553544073850406302831,800,000$
6Nathan SmithX100.00605063736260555545505052306351040600261775,000$
7Callahan BurkeX100.00805090635872305537505050306355040590275775,000$
8Ondrej Pavel (R)X100.0051506363747130554750505330585404059N0245870,000$
9Anton BlidhX100.00575055636970305537505050307756040580293750,000$
10Henrik HaapalaX100.00444555735160555530505050305462040570301925,000$
11Nikolai KnyzhovX100.00595074638083305535515166326859040650263830,000$
12Lawrence PilutX100.00475090736360555535545259307259040630292925,000$
13Roland McKeownX100.00495055736960555531505054307354040610282750,000$
14Nicolas BeaudinX100.00395090735860555530505050306347040580252832,500$
Rayé
MOYENNE D’ÉQUIPE100.0057507569656747564053545636676004062
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
1Jett Alexander100.0063306590555556675052505753040590252750,000$
Rayé
MOYENNE D’ÉQUIPE100.006330659055555667505250575304059
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 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 Type Salaire actuel Salaire restantPlafond salarial Non Activé 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 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
Anders BjorkWranglers (NE )LW281996-08-05No190 Lbs6 ft0NoNoN/ANoNo3Pro & Farm1,800,000$1,800,000$0$0$No1,800,000$1,800,000$-------NoNo-------
Anton BlidhWranglers (NE )LW291995-03-14No196 Lbs6 ft1NoNoN/ANoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$-------NoNo-------
Callahan BurkeWranglers (NE )C271997-03-19No183 Lbs5 ft10NoNoN/ANoNo52024-08-12Pro & Farm775,000$775,000$0$0$No775,000$775,000$775,000$775,000$-----NoNoNoNo-----
Henrik HaapalaWranglers (NE )RW301994-02-28No165 Lbs5 ft9NoNoN/ANoNo1Pro & Farm925,000$925,000$0$0$No------------------
Jett AlexanderWranglers (NE )G251999-11-08No214 Lbs6 ft5NoNoN/ANoNo2Pro & Farm750,000$750,000$0$0$No750,000$--------No--------
Joel KivirantaWranglers (NE )LW281996-03-23No185 Lbs5 ft11YesNoAssign ManuallyNoNo12024-10-10Pro & Farm775,000$775,000$0$0$No------------------
Josh DoanWranglers (NE )RW222002-02-01Yes183 Lbs6 ft1NoNoTrade (Prospect)NoNo32024-08-08Pro & Farm925,000$925,000$0$0$No925,000$925,000$-------NoNo-------
Karson KuhlmanWranglers (NE )C291995-09-26No184 Lbs5 ft10NoNoN/ANoNo2Pro & Farm700,000$700,000$0$0$No700,000$--------No--------
Lawrence PilutWranglers (NE )D291995-12-30No194 Lbs5 ft11NoNoN/ANoNo2Pro & Farm925,000$925,000$0$0$No925,000$--------No--------
Nathan SmithWranglers (NE )C261998-10-19No177 Lbs6 ft0NoNoN/ANoNo12024-08-12Pro & Farm775,000$775,000$0$0$No------------------
Nicolas BeaudinWranglers (NE )D251999-10-07No168 Lbs5 ft11NoNoN/ANoNo2Pro & Farm832,500$832,500$0$0$No832,500$--------No--------
Nikolai KnyzhovWranglers (NE )D261998-03-20No222 Lbs6 ft3NoNoN/ANoNo3Pro & Farm830,000$830,000$0$0$No830,000$830,000$-------NoNo-------
Ondrej PavelWranglers (NE )C242000-08-29Yes205 Lbs6 ft2YesNoAssign ManuallyNoNo52024-10-15Pro & Farm870,000$870,000$0$0$No870,000$870,000$870,000$870,000$-----YesYesYesYes-----
Roland McKeownWranglers (NE )D281996-01-20No195 Lbs6 ft1NoNoN/ANoNo2Pro & Farm750,000$750,000$0$0$No750,000$--------No--------
William CarrierWranglers (NE )LW301994-12-20No220 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,000,000$1,000,000$0$0$No1,000,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1527.07192 Lbs6 ft02.47892,167$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anders Bjork34122
2Anton Blidh30122
326122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lawrence PilutNikolai Knyzhov34122
2Roland McKeown30122
3Nicolas Beaudin26122
4Lawrence PilutNikolai Knyzhov10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anders Bjork51122
2Anton Blidh49122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lawrence PilutNikolai Knyzhov51122
2Roland McKeown49122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
151122
2Anders Bjork49122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lawrence PilutNikolai Knyzhov51122
2Roland McKeown49122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
151122Lawrence PilutNikolai Knyzhov51122
249122Roland McKeown49122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
151122
2Anders Bjork49122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lawrence PilutNikolai Knyzhov51122
2Roland McKeown49122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anders BjorkLawrence PilutNikolai Knyzhov
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anders BjorkLawrence PilutNikolai Knyzhov
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Henrik Haapala, , Henrik Haapala
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nicolas Beaudin, , Roland McKeownNicolas Beaudin, Roland McKeown
Tirs de pénalité
, , , Anders Bjork,
Gardien
#1 : , #2 :


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
Capacité20001000
Prix des billets350
Assistance0%0%
Assistance PCT0%0%

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

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen 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