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Connexion

Aces
GP: 9 | W: 3 | L: 4 | OTL: 2 | P: 8
GF: 35 | GA: 40 | PP%: 10.00% | PK%: 75.76%
DG: Gary Tater | Morale : 44 | Moyenne d’équipe : 61
Prochains matchs #112 vs Newfoundland Regiment

Centre de jeu
Aces
3-4-2, 8pts
3
FINAL
4 Canucks
6-2-1, 13pts
Team Stats
L1SéquenceW1
1-2-1Fiche domicile3-1-0
2-2-1Fiche domicile3-1-1
3-4-2Derniers 10 matchs6-2-1
3.89Buts par match 4.56
4.44Buts contre par match 3.33
10.00%Pourcentage en avantage numérique47.06%
75.76%Pourcentage en désavantage numérique80.00%
Canucks
6-2-1, 13pts
5
FINAL
2 Aces
3-4-2, 8pts
Team Stats
W1SéquenceL1
3-1-0Fiche domicile1-2-1
3-1-1Fiche domicile2-2-1
6-2-1Derniers 10 matchs3-4-2
4.56Buts par match 3.89
3.33Buts contre par match 4.44
47.06%Pourcentage en avantage numérique10.00%
80.00%Pourcentage en désavantage numérique75.76%
Newfoundland Regiment
0-8-1, 1pts
Jour 20
Aces
3-4-2, 8pts
Statistiques d’équipe
L3SéquenceL1
0-3-1Fiche domicile1-2-1
0-5-0Fiche visiteur2-2-1
0-8-110 derniers matchs3-4-2
2.44Buts par match 3.89
4.44Buts contre par match 3.89
16.67%Pourcentage en avantage numérique10.00%
87.50%Pourcentage en désavantage numérique75.76%
Aces
3-4-2, 8pts
Jour 23
Quacken
7-1-0, 14pts
Statistiques d’équipe
L1SéquenceW2
1-2-1Fiche domicile4-0-0
2-2-1Fiche visiteur3-1-0
3-4-210 derniers matchs7-1-0
3.89Buts par match 5.50
4.44Buts contre par match 5.50
10.00%Pourcentage en avantage numérique31.58%
75.76%Pourcentage en désavantage numérique78.57%
Aces
3-4-2, 8pts
Jour 24
Roadrunners
4-3-1, 9pts
Statistiques d’équipe
L1SéquenceL1
1-2-1Fiche domicile4-0-0
2-2-1Fiche visiteur0-3-1
3-4-210 derniers matchs4-3-1
3.89Buts par match 5.25
4.44Buts contre par match 5.25
10.00%Pourcentage en avantage numérique29.17%
75.76%Pourcentage en désavantage numérique68.75%
Meneurs d'équipe
Buts
Arseny Gritsyuk
8
Nicolas RoyPasses
Nicolas Roy
8
Nicolas RoyPoints
Nicolas Roy
13
Ryan GravesPlus/Moins
Ryan Graves
8
Jonas JohanssonVictoires
Jonas Johansson
3
Jonas JohanssonPourcentage d’arrêts
Jonas Johansson
0.874

Statistiques d’équipe
Buts pour
35
3.89 GFG
Tirs pour
280
31.11 Avg
Pourcentage en avantage numérique
10.0%
2 GF
Début de zone offensive
34.9%
Buts contre
40
4.44 GAA
Tirs contre
318
35.33 Avg
Pourcentage en désavantage numérique
75.8%%
8 GA
Début de la zone défensive
42.8%
Informations de l'équipe

Directeur généralGary Tater
EntraîneurRyan Smyth
DivisionPacific
ConférenceWestern Conference
CapitaineNeal Pionk
Assistant #1Nicolas Roy
Assistant #2Colin Blackwell


Informations de l’aréna

Capacité3,000
Assistance0
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 CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Arseny GritsyukX100.00685780716976807250686860546264050650254500,000$
2Nicolas Roy (A)X100.007061876772758665726759735071720496502912,000,000$
3Ethen FrankX100.00675685706670767350656762546767048640282500,000$
4Yakov TreninX100.00916382657273926251655473506970048640291500,000$
5Colin Blackwell (A)X100.00745778656370816458635075507776047630331500,000$
6Curtis LazarX100.00795690667264646778575564507572048610313500,000$
7Jeffrey VielX100.00837163647670656150635260506967048600291500,000$
8Marc GatcombX100.00885689657266676550595160506564049600272500,000$
9Tyson KozakX100.00805496646569655867605068506062049590232500,000$
10Ivan MiroshnichenkoX100.00665591596659526150535754515658046550221500,000$
11Cameron HughesX100.00503589576750505050505050516971047510301500,000$
12Neal Pionk (C)X100.007862786567817367506250785575760466703142,000,000$
13Jordan SpenceX100.00665884676674867350695667566365046650251500,000$
14Justin BarronX100.00666587627166706750605067556263047620241500,000$
15Max CrozierX100.00696772627467626850655169556667048620264500,000$
16Jack St. IvanyX100.00725884587152576550655067556869049600273500,000$
17Ryan GravesX100.00656177558151575450505062557473037580312500,000$
Rayé
1Victor Eklund (R)X100.00503589575550535650325050505364044490204500,000$
MOYENNE D’ÉQUIPE100.0071578363696669645460546452676804761
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 Johansson100.0068727081667067656450697575042670312500,000$
2Brandon Halverson100.0050615984505050505050507272049560302500,000$
Rayé
MOYENNE D’ÉQUIPE100.005967658358605958575060747404662
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
1Nicolas RoyAces (EDM)C958131004273772813.51%420122.360115190000170059.18%26700001.2900000130
2Arseny GritsyukAces (EDM)RW9831102091134152023.53%418620.71101420000001050.00%1400011.1800000300
3Jeffrey VielAces (EDM)LW9369010025474842.86%217319.2600002000040066.67%1200001.0400000011
4Marc GatcombAces (EDM)C93583100198206915.00%112714.2200001000010053.85%1300001.2500000100
5Ethen FrankAces (EDM)RW9336-220417315169.68%315917.71000119000001090.91%1100000.7500000011
6Colin BlackwellAces (EDM)C9246-340817214239.52%517018.91000000002310052.94%1700000.7100000100
7Tyson KozakAces (EDM)C9336540414141621.43%69310.44000000000150063.16%7600001.2800000012
8Yakov TreninAces (EDM)C9336-3402922312189.68%018620.730002150002311045.73%23400000.6400000100
9Max CrozierAces (EDM)D9156-2100201941311.11%919521.67011217000025000%000000.6200000000
10Jack St. IvanyAces (EDM)D90558802344210%1214716.3600022000021000%000000.6800000001
11Jordan SpenceAces (EDM)D9044-44061214440%1421724.20000718000021000%000000.3700000001
12Justin BarronAces (EDM)D9044-32011812050%1018520.61011516000015000%000000.4300000000
13Neal PionkAces (EDM)D9033-4803314105100%922224.76000619000024000%000000.2700000000
14Curtis LazarAces (EDM)C93032006121921415.79%010711.921013150000110062.50%10400000.5600000000
15Ryan GravesAces (EDM)D8022800833000%910312.940000000002000%000000.3900000000
16Cameron HughesAces (EDM)C91013000060216.67%1697.7500000000000050.00%200000.2900000001
17Ivan MiroshnichenkoAces (EDM)LW9011-100208490%19010.10000216000000062.50%800000.2200000000
18Victor EklundAces (EDM)RW1000100000000%177.250000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne15335599496802111742806518612.50%91264617.292353918700042263056.07%75800010.7100000767
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 JohanssonAces (EDM)93420.8744.4354200403180000090000
Statistiques d’équipe totales ou en moyenne93420.8744.435420040318000090000


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$45,408$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$45,408$No500,000$--------500,000$--------No--------Lien / Lien NHL
Cameron HughesAces (EDM)C301996-10-09CANNo190 Lbs6 ft0NoNoFree AgentNoNo12026-07-30FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Lien
Colin BlackwellAces (EDM)C331993-03-28CANNo181 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Lien / Lien NHL
Curtis LazarAces (EDM)C311995-02-02CANNo203 Lbs6 ft0NoNoFree AgentNoNo32025-07-23FalseFalsePro & Farm500,000$50,000$45,408$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$45,408$No500,000$--------500,000$--------No--------Lien / Lien NHL
Ivan MiroshnichenkoAces (EDM)LW222004-02-04CANNo185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Lien / Lien NHL
Jack St. IvanyAces (EDM)D271999-07-22CANNo197 Lbs6 ft4NoNoFree Agent2024-10-07NoNo32026-07-28FalseFalsePro & Farm500,000$50,000$45,408$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$45,408$No---------------------------Lien / Lien NHL
Jonas JohanssonAces (EDM)G311995-09-19CANNo220 Lbs6 ft5NoNoFree Agent2025-08-05NoNo22026-07-20FalseFalsePro & Farm500,000$50,000$45,408$No500,000$--------500,000$--------No--------Lien / Lien NHL
Jordan SpenceAces (EDM)D252001-02-24CANNo188 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Lien / Lien NHL
Justin BarronAces (EDM)D242001-11-15CANNo198 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Lien / Lien NHL
Marc GatcombAces (EDM)C271999-07-22CANNo200 Lbs6 ft2NoNoFree AgentNoNo22025-08-21FalseFalsePro & Farm500,000$50,000$45,408$No500,000$--------500,000$--------No--------Lien / Lien NHL
Max CrozierAces (EDM)D262000-04-19CANNo204 Lbs6 ft3NoNoFree AgentNoNo42026-07-13FalseFalsePro & Farm500,000$50,000$45,408$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$181,633$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$181,633$No---------------------------Lien / Lien NHL
Ryan GravesAces (EDM)D311995-05-21CANNo225 Lbs6 ft5NoNoFree AgentNoNo22025-08-18FalseFalsePro & Farm500,000$50,000$45,408$No500,000$--------500,000$--------No--------Lien / Lien NHL
Tyson KozakAces (EDM)C232002-12-29CANNo185 Lbs5 ft11NoNoFree AgentNoNo22025-08-18FalseFalsePro & Farm500,000$50,000$45,408$No500,000$--------500,000$--------No--------Lien / Lien NHL
Victor EklundAces (EDM)RW202006-10-03CANYes161 Lbs5 ft11NoNoDraftNoNo42026-06-30FalseFalsePro & Farm500,000$50,000$45,408$No500,000$500,000$500,000$---------------NoNoNo------Lien
Yakov TreninAces (EDM)C291997-01-13CANNo201 Lbs6 ft2NoNoFree AgentNoNo12026-07-20FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2027.55198 Lbs6 ft12.10650,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jeffrey VielNicolas RoyArseny Gritsyuk42014
2Colin BlackwellYakov TreninEthen Frank35014
3Marc GatcombCurtis LazarIvan Miroshnichenko13032
4Marc GatcombTyson KozakCameron Hughes10032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Neal PionkJordan Spence45032
2Max CrozierJustin Barron30032
3Jack St. IvanyRyan Graves20032
4Neal PionkJordan Spence5032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ethen FrankNicolas RoyArseny Gritsyuk60005
2Ivan MiroshnichenkoYakov TreninCurtis Lazar40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Neal PionkJordan Spence60005
2Max CrozierJustin Barron40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Yakov TreninColin Blackwell60050
2Nicolas RoyTyson Kozak40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Neal PionkMax Crozier70050
2Jordan SpenceJack St. Ivany30050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nicolas Roy60050Neal PionkMax Crozier70050
2Yakov Trenin40050Jordan SpenceJack St. Ivany30050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nicolas RoyArseny Gritsyuk60023
2Yakov TreninEthen Frank40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Neal PionkJordan Spence60032
2Max CrozierJustin Barron40032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ethen FrankNicolas RoyArseny GritsyukNeal PionkJordan Spence
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Colin BlackwellNicolas RoyYakov TreninNeal PionkJordan Spence
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Curtis Lazar, Marc Gatcomb, Tyson KozakJeffrey Viel, Curtis LazarCurtis Lazar
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Justin Barron, Jack St. Ivany, Ryan GravesJack St. IvanyJustin Barron, Max Crozier
Tirs de pénalité
Arseny Gritsyuk, Ethen Frank, Nicolas Roy, Yakov Trenin, Colin Blackwell
Gardien
#1 : Jonas Johansson, #2 : Brandon Halverson


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
1Barracuda20200000612-61010000026-41010000046-200.0006101600161090589371116088252060400.00%10550.00%014226353.99%19132259.32%9216854.76%2361691905911460
2Canucks2010010059-41010000025-31000010034-110.250581300161090419371116056161237600.00%6266.67%014226353.99%19132259.32%9216854.76%2361691905911460
3Newfoundland Regiment11000000431000000000001100000043121.0004610001610903493711160327821100.00%40100.00%014226353.99%19132259.32%9216854.76%2361691905911460
4Nordiks11000000642000000000001100000064221.0006121800161090569371116033126204125.00%30100.00%014226353.99%19132259.32%9216854.76%2361691905911460
5Quacken1000010034-11000010034-10000000000010.500358001610902693711160416639100.00%30100.00%014226353.99%19132259.32%9216854.76%2361691905911460
6Roadrunners11000000725110000007250000000000021.00071017001610903193711160281310173133.33%5180.00%014226353.99%19132259.32%9216854.76%2361691905911460
7Wranglers1010000046-2000000000001010000046-200.00048120016109034937111604012617100.00%20100.00%014226353.99%19132259.32%9216854.76%2361691905911460
Total934002003540-5412001001417-3522001002123-280.4443559940016109028093711160318916821120210.00%33875.76%014226353.99%19132259.32%9216854.76%2361691905911460
_Since Last GM Reset934002003540-5412001001417-3522001002123-280.4443559940016109028093711160318916821120210.00%33875.76%014226353.99%19132259.32%9216854.76%2361691905911460
_Vs Conference934002003540-5412001001417-3522001002123-280.4443559940016109028093711160318916821120210.00%33875.76%014226353.99%19132259.32%9216854.76%2361691905911460
_Vs Division223002001010001200100000211001001010061.500102030001610909093711160732412375120.00%50100.00%014226353.99%19132259.32%9216854.76%2361691905911460

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
98L1355994280318916821100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
93402003540
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41201001417
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
52201002123
Derniers 10 matchs
WLOTWOTL SOWSOL
340200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
20210.00%33875.76%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
93711160161090
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
14226353.99%19132259.32%9216854.76%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2361691905911460


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
210Roadrunners2Aces7WSommaire du match
423Aces4Newfoundland Regiment3WSommaire du match
634Barracuda6Aces2LSommaire du match
741Aces6Nordiks4WSommaire du match
1054Aces4Barracuda6LSommaire du match
1166Quacken4Aces3LXSommaire du match
1478Aces4Wranglers6LSommaire du match
1585Aces3Canucks4LXSommaire du match
1795Canucks5Aces2LSommaire du match
20112Newfoundland Regiment-Aces-
23127Aces-Quacken-
24131Aces-Roadrunners-
26144Griffins-Aces-
29159Aces-Canucks-
31166Newfoundland Regiment-Aces-
33181Barons-Aces-
37196Aces-Lynx-
39209Aces-Americiens-
40214Nordiks-Aces-
44233Nordiks-Aces-
46244Aces-Lynx-
48253Aces-Marlies-
50263Marlies-Aces-
53280Canucks-Aces-
55293Aces-Griffins-
57300Ice Bats-Aces-
59313Aces-Wombats-
60322Aces-Laval Rocket-
63333Wranglers-Aces-
65345Aces-Firebirds-
67357Lynx-Aces-
69367Aces-Newfoundland Regiment-
70379Ice Bats-Aces-
73395Aces-Wranglers-
75405Wranglers-Aces-
78422Barons-Aces-
80431Aces-Bruins-
82439Aces-Barons-
84452Firebirds-Aces-
87466Aces-Wranglers-
88476Admirals-Aces-
92493Aces-Lions-
93499Laval Rocket-Aces-
96515Aces-Lions-
97522Tomahawks-Aces-
101540Canucks-Aces-
103548Aces-Barracuda-
105560Aces-Admirals-
107570Admirals-Aces-
110586Aces-Nordiks-
112594Fighting Pandas-Aces-
114607Aces-Orlando Solar Bears-
116618Griffins-Aces-
118631Aces-Quacken-
120643Firebirds-Aces-
122654Aces-Quacken-
125665Wombats-Aces-
127678Aces-Nordiks-
129689Aces-Broncos-
130695Americiens-Aces-
134712Tomahawks-Aces-
140737Aces-Barracuda-
141744Newfoundland Regiment-Aces-
144760Roadrunners-Aces-
148781Roadrunners-Aces-
152801Broncos-Aces-
155815Aces-Fighting Pandas-
157822Barracuda-Aces-
159836Aces-Tomahawks-
161843Aces-Newfoundland Regiment-
162852Bruins-Aces-
165868Barracuda-Aces-
168881Aces-Ice Bats-
170893Orlando Solar Bears-Aces-
173908Aces-Canucks-
175919Lions-Aces-
176926Aces-Tomahawks-
179941Quacken-Aces-
181950Aces-Ice Bats-
183960Aces-Barons-
185970Lions-Aces-
187979Aces-Roadrunners-
190991Quacken-Aces-
1921001Aces-Roadrunners-



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
38 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
165,312$ 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
1,300,000$ 119,394$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 178 9,184$ 1,634,752$




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