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Connexion

Aces
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Gary Tater | Morale : 50 | Moyenne d’équipe : 60

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralGary Tater
EntraîneurRyan Smyth
DivisionPacific
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro20
Équipe Mineure18
Limite contact 38 / 50
Espoirs16


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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Arseny GritsyukX100.00685780716976807250686760546264047640254500,000$
2Ethen FrankX100.00675685706670767350646762546767047640282500,000$
3Nicolas RoyX100.007061876772758664726658735071720476402912,000,000$
4Yakov TreninX100.00916382657273926251655374506970047640291500,000$
5Colin BlackwellX100.00745778656370816458635075507776047620331500,000$
6Curtis LazarX100.00795690667264646778575564507572047610313500,000$
7Jeffrey VielX100.00837163647670656150635260506967050600291500,000$
8Marc GatcombX100.00885689657266676550595160506564047600272500,000$
9Tyson KozakX100.00805496646569655867595068506062047590232500,000$
10Ivan MiroshnichenkoX100.00665591596659526150535754515658047550221500,000$
11Cameron HughesX100.00503589576750505050505050516971050520291500,000$
12Neal PionkX100.007862786567817367506150785575760476703142,000,000$
13Jordan SpenceX100.00665884676674867350695667566365047650251500,000$
14Max CrozierX100.00696772627467626750645069556667050620264500,000$
15Justin BarronX100.00666587627166706750605067556263047610241500,000$
16Jack St. IvanyX100.00725884587152576550645066556869047600273500,000$
17Ryan GravesX100.00656177558151575450505062557473047580312500,000$
Rayé
1Victor Eklund (R)X100.00503589575550535650325050505364047490194500,000$
MOYENNE D’ÉQUIPE100.0071578363696669645459546452676804860
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Jonas Johansson100.0068727081667068656550697575047670302500,000$
2Brandon Halverson100.0050615984505050505050507272050560302500,000$
Rayé
MOYENNE D’ÉQUIPE100.005967658358605958585060747404962
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ryan Smyth8085858065901CAN504500,000$


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
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 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
Arseny GritsyukAces (EDM)RW252001-03-15CANNo195 Lbs6 ft0NoNoFree AgentNoNo42026-07-03FalseFalsePro & Farm500,000$50,000$50,000$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien
Brandon HalversonAces (EDM)G301996-03-29CANNo235 Lbs6 ft5NoNoFree AgentNoNo22026-07-15FalseFalsePro & Farm500,000$50,000$50,000$No500,000$--------500,000$--------No--------Lien / Lien NHL
Cameron HughesAces (EDM)C291996-10-09CANNo190 Lbs6 ft0NoNoFree AgentNoNo12026-07-30FalseFalsePro & Farm500,000$50,000$50,000$No---------------------------Lien
Colin BlackwellAces (EDM)C331993-03-28CANNo181 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$50,000$No---------------------------Lien / Lien NHL
Curtis LazarAces (EDM)C311995-02-02CANNo203 Lbs6 ft0NoNoFree AgentNoNo32025-07-23FalseFalsePro & Farm500,000$50,000$50,000$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Ethen FrankAces (EDM)RW281998-02-05CANNo188 Lbs5 ft11NoNoFree AgentNoNo22026-07-22FalseFalsePro & Farm500,000$50,000$50,000$No500,000$--------500,000$--------No--------Lien / Lien NHL
Ivan MiroshnichenkoAces (EDM)LW222004-02-04CANNo185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$50,000$No---------------------------Lien / Lien NHL
Jack St. IvanyAces (EDM)D271999-07-22CANNo197 Lbs6 ft4NoNoFree Agent2024-10-07NoNo32026-07-28FalseFalsePro & Farm500,000$50,000$50,000$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Jeffrey VielAces (EDM)LW291997-01-28CANNo214 Lbs6 ft1NoNoFree AgentNoNo12026-07-30FalseFalsePro & Farm500,000$50,000$50,000$No---------------------------Lien / Lien NHL
Jonas JohanssonAces (EDM)G301995-09-19CANNo220 Lbs6 ft5NoNoFree Agent2025-08-05NoNo22026-07-20FalseFalsePro & Farm500,000$50,000$50,000$No500,000$--------500,000$--------No--------Lien / Lien NHL
Jordan SpenceAces (EDM)D252001-02-24CANNo188 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$50,000$No---------------------------Lien / Lien NHL
Justin BarronAces (EDM)D242001-11-15CANNo198 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$50,000$No---------------------------Lien / Lien NHL
Marc GatcombAces (EDM)C271999-07-22CANNo200 Lbs6 ft2NoNoFree AgentNoNo22025-08-21FalseFalsePro & Farm500,000$50,000$50,000$No500,000$--------500,000$--------No--------Lien / Lien NHL
Max CrozierAces (EDM)D262000-04-19CANNo204 Lbs6 ft3NoNoFree AgentNoNo42026-07-13FalseFalsePro & Farm500,000$50,000$50,000$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien
Neal PionkAces (EDM)D311995-07-29CANNo190 Lbs6 ft0NoNoFree AgentNoNo42026-07-26FalseFalsePro & Farm2,000,000$200,000$200,000$No2,000,000$2,000,000$2,000,000$------2,000,000$2,000,000$2,000,000$------NoNoNo------Lien / Lien NHL
Nicolas RoyAces (EDM)C291997-02-05CANNo200 Lbs6 ft4NoNoN/ANoNo12024-08-19FalseFalsePro & Farm2,000,000$200,000$200,000$No---------------------------Lien / Lien NHL
Ryan GravesAces (EDM)D311995-05-21CANNo225 Lbs6 ft5NoNoFree AgentNoNo22025-08-18FalseFalsePro & Farm500,000$50,000$50,000$No500,000$--------500,000$--------No--------Lien / Lien NHL
Tyson KozakAces (EDM)C232002-12-29CANNo185 Lbs5 ft11NoNoFree AgentNoNo22025-08-18FalseFalsePro & Farm500,000$50,000$50,000$No500,000$--------500,000$--------No--------Lien / Lien NHL
Victor EklundAces (EDM)RW192006-10-03CANYes161 Lbs5 ft11NoNoDraftNoNo42026-06-30FalseFalsePro & Farm500,000$50,000$50,000$No500,000$500,000$500,000$---------------NoNoNo------Lien
Yakov TreninAces (EDM)C291997-01-13CANNo201 Lbs6 ft2NoNoFree AgentNoNo12026-07-20FalseFalsePro & Farm500,000$50,000$50,000$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2027.40198 Lbs6 ft12.10650,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
142014
235014
313032
410032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
145032
230032
320032
45032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160005
240005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160005
240005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160050
240050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
170050
230050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16005070050
24005030050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160023
240023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160032
240032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
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
00N/A0000000000
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 billets3515
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$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,300,000$ 1,300,000$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Aces 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

Aces 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

Aces 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

Aces 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

Aces 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