Connexion

Aces
GP: 53 | W: 33 | L: 16 | OTL: 4 | P: 70
GF: 194 | GA: 169 | PP%: 20.17% | PK%: 83.54%
DG: Gary Tater | Morale : 71 | Moyenne d’équipe : 62
Prochains matchs #609 vs Marlies
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Centre de jeu
Aces
33-16-4, 70pts
4
FINAL
1 Nordiks
28-26-2, 58pts
Team Stats
W3SéquenceW1
18-10-0Fiche domicile14-11-2
15-6-4Fiche domicile14-15-0
9-1-0Derniers 10 matchs4-6-0
3.66Buts par match 5.55
3.19Buts contre par match 5.29
20.17%Pourcentage en avantage numérique23.53%
83.54%Pourcentage en désavantage numérique68.94%
Americiens
24-26-6, 54pts
2
FINAL
5 Aces
33-16-4, 70pts
Team Stats
L5SéquenceW3
14-11-3Fiche domicile18-10-0
10-15-3Fiche domicile15-6-4
1-9-0Derniers 10 matchs9-1-0
4.95Buts par match 3.66
4.96Buts contre par match 3.19
20.00%Pourcentage en avantage numérique20.17%
75.19%Pourcentage en désavantage numérique83.54%
Aces
33-16-4, 70pts
Jour 116
Marlies
33-16-6, 72pts
Statistiques d’équipe
W3SéquenceSOL1
18-10-0Fiche domicile15-9-3
15-6-4Fiche visiteur18-7-3
9-1-010 derniers matchs4-4-2
3.66Buts par match 4.09
3.19Buts contre par match 4.09
20.17%Pourcentage en avantage numérique25.00%
83.54%Pourcentage en désavantage numérique78.95%
Bruins
21-27-8, 50pts
Jour 117
Aces
33-16-4, 70pts
Statistiques d’équipe
W1SéquenceW3
11-10-7Fiche domicile18-10-0
10-17-1Fiche visiteur15-6-4
4-6-010 derniers matchs9-1-0
3.84Buts par match 3.66
4.64Buts contre par match 3.66
21.67%Pourcentage en avantage numérique20.17%
77.22%Pourcentage en désavantage numérique83.54%
Aces
33-16-4, 70pts
Jour 118
Roadrunners
18-33-4, 40pts
Statistiques d’équipe
W3SéquenceL1
18-10-0Fiche domicile6-19-3
15-6-4Fiche visiteur12-14-1
9-1-010 derniers matchs3-6-1
3.66Buts par match 4.42
3.19Buts contre par match 4.42
20.17%Pourcentage en avantage numérique21.14%
83.54%Pourcentage en désavantage numérique63.71%
Meneurs d'équipe
Colin BlackwellButs
Colin Blackwell
30
Colin BlackwellPasses
Colin Blackwell
36
Colin BlackwellPoints
Colin Blackwell
66
Garnet HathawayPlus/Moins
Garnet Hathaway
29
Joel HoferVictoires
Joel Hofer
18
Joel HoferPourcentage d’arrêts
Joel Hofer
0.911

Statistiques d’équipe
Buts pour
194
3.66 GFG
Tirs pour
1591
30.02 Avg
Pourcentage en avantage numérique
20.2%
24 GF
Début de zone offensive
39.0%
Buts contre
169
3.19 GAA
Tirs contre
1705
32.17 Avg
Pourcentage en désavantage numérique
83.5%%
26 GA
Début de la zone défensive
41.9%
Informations de l'équipe

Directeur généralGary Tater
EntraîneurRyan Smyth
DivisionCentral
ConférenceWestern Conference
CapitaineGarnet Hathaway
Assistant #1Colin Blackwell
Assistant #2Colin Miller


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro20
Équipe Mineure18
Limite contact 38 / 50
Espoirs9


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
1Curtis LazarXX100.00816282697271827866696071507172088670291500,000$
2Cole SmithX100.00836582687073907350656176506871087660292500,000$
3Colin Blackwell (A)XX100.00685689696675667560647074517576090660313500,000$
4Garnet Hathaway (C)X100.00916371687671917471645870507977088660332500,000$
5A.J. GreerXX100.00776782687564727050615961506867088620283500,000$
6Dryden HuntXX100.00796996666966577150635759506968086610291500,000$
7Ivan Miroshnichenko (R)X100.00715686636863556250575252505558084550203500,000$
8Mason ShawXX100.00646190626456536850534952506967082550263500,000$
9Adam BeckmanX100.00525591546650525850484948506062083510233500,000$
10Trey Fix-WolanskyX100.00515591526651525650494948516465082510253500,000$
11Mavrik Bourque (R)X100.00493590586850514950494948505859081500233500,000$
12Joel EdmundsonX100.00776582628070726550565175557676055660313500,000$
13Nick PerbixX100.00715792637371897250715272556768077660262500,000$
14Colin Miller (A)X100.00806172647169676650595773567776086650322500,000$
15Justin BarronX100.00745983667574706950596670566063089650233500,000$
16Jordan SpenceX100.00685693706567837050705069556264086640233500,000$
17Olen Zellweger (R)X100.00595692696573606850645366565861085610213500,000$
Rayé
MOYENNE D’ÉQUIPE100.0070598664706668675360556452676808361
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
1Joel Hofer100.0081757772788075777874506267091730243500,000$
2Casey DeSmith100.0074747468687772696965677878082700332600,000$
Rayé
1Magnus Hellberg100.0050615982525050505050507676024570332500,000$
MOYENNE D’ÉQUIPE100.006870707466696665666356727406667
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ryan Smyth8085858065901CAN486500,000$


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
1Colin BlackwellAces (EDM)C/RW533036661460391762737418010.99%18113521.42279319411291374258.05%142300011.1602000466
2Garnet HathawayAces (EDM)RW5326366229660212882025515012.87%12122123.051562010210131014262.10%12400011.0212000875
3Curtis LazarAces (EDM)C/RW372322452322046105136448316.91%1381321.9903316720112737158.24%84300011.1102000553
4A.J. GreerAces (EDM)LW/RW53162137836086501454012111.03%999318.740441993000092454.88%8200000.7400000103
5Cole SmithAces (EDM)LW331720372232104051110428015.45%1361418.6233613601122753150.00%3400011.2000101323
6Jordan SpenceAces (EDM)D5323436128043503819315.26%77112221.181561791000012700100.00%100000.6400000012
7Justin BarronAces (EDM)D53112334144201443983245713.25%68103719.585162389000156100%000000.6600000423
8Dryden HuntAces (EDM)LW/RW5314183291354948103399913.59%483115.691237290001133150.00%5800000.7711010221
9Nick PerbixAces (EDM)D34527322100523349193110.20%4879623.422572067000084100%000000.8000000142
10Colin MillerAces (EDM)D534222610380140515920376.78%68108420.470005280221117000%000000.4800000111
11Dmitri VoronkovEdmonton OilersC/LW/RW211114251060154486215512.79%141319.684267440001311159.77%34800001.2100000242
12Olen ZellwegerAces (EDM)D5322022312036313311306.06%7388416.69011216000132000%000000.5000000002
13Ryan GravesEdmonton OilersD3061319818080334793312.77%4471823.944261760000070110%000000.5300000313
14Ivan MiroshnichenkoAces (EDM)LW5312315-14140673484153814.29%876714.480000100000102052.94%5100000.3900000300
15Mason ShawAces (EDM)C/LW534812-188036777421695.41%383315.720001220000381053.49%87500000.2900000010
16Joel EdmundsonAces (EDM)D28281031605619299256.90%4464222.94011849000163100%000000.3100000010
17Trey Fix-WolanskyAces (EDM)RW533710-11401591991915.79%789316.86112386000000045.45%5500000.2200000011
18Mavrik BourqueAces (EDM)C51224-620833831325.00%13987.8200000000030051.27%43300000.2000000001
19Adam BeckmanAces (EDM)LW53202-220391361315.38%24388.28000030000680045.45%4400000.0900000101
Statistiques d’équipe totales ou en moyenne8701923345261163551511679801591480116412.07%5131564117.982442662091024358221116311356.19%437100040.6727111383839
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
1Joel HoferAces (EDM)3218930.9112.81187662889930111.00043023232
2Casey DeSmithAces (EDM)2315710.8873.63132401807110001.00032330013
Statistiques d’équipe totales ou en moyenne55331640.9013.15320063168170401175353245


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
A.J. GreerAces (EDM)LW/RW281996-12-14CANNo209 Lbs6 ft3NoNoN/ANoNo32024-08-19FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien NHL
Adam BeckmanAces (EDM)LW232001-05-10CANNo182 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien NHL
Casey DeSmithAces (EDM)G331991-08-13USANo181 Lbs6 ft0NoNoFree AgentNoNo22024-09-11FalseFalsePro & Farm600,000$60,000$20,571$No600,000$--------600,000$--------No--------Lien NHL
Cole SmithAces (EDM)LW291995-10-28USANo195 Lbs6 ft3NoNoAssign ManuallyNoNo22024-08-27FalseFalsePro & Farm500,000$50,000$17,143$No500,000$--------500,000$--------No--------Lien NHL
Colin BlackwellAces (EDM)C/RW311993-03-28USANo190 Lbs5 ft9NoNoN/ANoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien NHL
Colin MillerAces (EDM)D321992-10-29CANNo200 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$17,143$No500,000$--------500,000$--------No--------Lien NHL
Curtis LazarAces (EDM)C/RW291995-02-02CANNo203 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$17,143$No---------------------------Lien NHL
Dryden HuntAces (EDM)LW/RW291995-11-24CANNo193 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$17,143$No---------------------------Lien NHL
Garnet HathawayAces (EDM)RW331991-11-23USANo212 Lbs6 ft2NoNoAssign ManuallyNoNo22024-08-26FalseFalsePro & Farm500,000$50,000$17,143$No500,000$--------500,000$--------No--------Lien NHL
Ivan MiroshnichenkoAces (EDM)LW202004-02-04RUSYes185 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien NHL
Joel EdmundsonAces (EDM)D311993-06-28CANNo221 Lbs6 ft5NoNoN/ANoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien NHL
Joel HoferAces (EDM)G242000-07-30CANNo179 Lbs6 ft5NoNoN/ANoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien NHL
Jordan SpenceAces (EDM)D232001-02-24AUSNo180 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien NHL
Justin BarronAces (EDM)D232001-11-15CANNo202 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien NHL
Magnus HellbergAces (EDM)G331991-04-04SWENo220 Lbs6 ft6NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$17,143$No500,000$--------500,000$--------No--------Lien NHL
Mason ShawAces (EDM)C/LW261998-11-03CANNo184 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien NHL
Mavrik BourqueAces (EDM)C232002-01-08CANYes191 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Nick PerbixAces (EDM)D261998-06-15USANo202 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$17,143$No500,000$--------500,000$--------No--------Lien NHL
Olen ZellwegerAces (EDM)D212003-09-10CANYes182 Lbs5 ft9NoNoN/ANoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien NHL
Trey Fix-WolanskyAces (EDM)RW251999-05-26CANNo191 Lbs5 ft7NoNoN/ANoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2027.10195 Lbs6 ft12.50505,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cole SmithCurtis LazarGarnet Hathaway40014
2A.J. GreerColin BlackwellDryden Hunt30014
3Ivan MiroshnichenkoMason ShawTrey Fix-Wolansky20023
4Adam BeckmanMavrik BourqueGarnet Hathaway10023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joel EdmundsonColin Miller40023
2Justin BarronJordan Spence30023
3Olen ZellwegerJustin Barron20032
4Joel EdmundsonColin Miller10032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cole SmithCurtis LazarGarnet Hathaway60005
2A.J. GreerColin BlackwellTrey Fix-Wolansky40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Colin MillerJoel Edmundson60005
2Justin BarronJordan Spence40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Colin BlackwellCole Smith60050
2Curtis LazarGarnet Hathaway40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Colin MillerJoel Edmundson60050
2Justin BarronJordan Spence40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Curtis Lazar60050Colin MillerJoel Edmundson60050
2Cole Smith40050Justin BarronJordan Spence40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Curtis LazarCole Smith60023
2Colin BlackwellGarnet Hathaway40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Colin MillerJoel Edmundson60032
2Justin BarronJordan Spence40032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cole SmithCurtis LazarGarnet HathawayColin MillerJoel Edmundson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cole SmithColin BlackwellGarnet HathawayColin MillerJoel Edmundson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mason Shaw, Ivan Miroshnichenko, Adam BeckmanMason Shaw, Ivan MiroshnichenkoAdam Beckman
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Olen Zellweger, Jordan Spence, Justin BarronOlen ZellwegerJustin Barron, Olen Zellweger
Tirs de pénalité
Curtis Lazar, Garnet Hathaway, Colin Blackwell, Dryden Hunt, A.J. Greer
Gardien
#1 : Joel Hofer, #2 : Casey DeSmith
Lignes d’attaque personnalisées en prolongation
Curtis Lazar, Garnet Hathaway, Cole Smith, Colin Blackwell, Dryden Hunt, A.J. Greer, A.J. Greer, Mason Shaw, Ivan Miroshnichenko, Adam Beckman, Trey Fix-Wolansky
Lignes de défense personnalisées en prolongation
Joel Edmundson, Colin Miller, Jordan Spence, Justin Barron, Olen Zellweger


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
1Admirals220000001257110000004131100000084441.0001222340067695088953352750434621417507342.86%60100.00%0949169056.15%1048181757.68%45982655.57%144010331101345663358
2Americiens330000001385220000009541100000043161.00013203300676950810953352750434117431480400.00%7271.43%1949169056.15%1048181757.68%45982655.57%144010331101345663358
3Barons32100000862110000005322110000033040.667816240167695087253352750434701920646116.67%9188.89%0949169056.15%1048181757.68%45982655.57%144010331101345663358
4Barracuda42101000201462100100012752110000087160.75020375700676950812953352750434146534789500.00%15286.67%0949169056.15%1048181757.68%45982655.57%144010331101345663358
5Broncos210010001174110000005231000100065141.000111829006769508485335275043437111237300.00%6183.33%0949169056.15%1048181757.68%45982655.57%144010331101345663358
6Bruins10000010321000000000001000001032121.00033600676950838533527504342488264125.00%4175.00%0949169056.15%1048181757.68%45982655.57%144010331101345663358
7Butter Knives20100100811-31010000035-21000010056-110.2508152300676950867533527504347328264200.00%10100.00%0949169056.15%1048181757.68%45982655.57%144010331101345663358
8Canucks51100210981210000105053010020048-460.600914230267695081265335275043493402610910110.00%12283.33%0949169056.15%1048181757.68%45982655.57%144010331101345663358
9Fighting Pandas1010000012-1000000000001010000012-100.0001120067695082053352750434226820100.00%4250.00%0949169056.15%1048181757.68%45982655.57%144010331101345663358
10Firebirds22000000945110000005141100000043141.0009142300676950862533527504347622838400.00%30100.00%0949169056.15%1048181757.68%45982655.57%144010331101345663358
11Griffins11000000321110000003210000000000021.000369006769508225335275043436126255120.00%30100.00%0949169056.15%1048181757.68%45982655.57%144010331101345663358
12Ice Bats420020001812632001000161151000100021181.000183351006769508137533527504341734718807342.86%80100.00%1949169056.15%1048181757.68%45982655.57%144010331101345663358
13Lions22000000954000000000002200000095441.000915240067695085753352750434541814346116.67%70100.00%0949169056.15%1048181757.68%45982655.57%144010331101345663358
14Lynx1010000016-51010000016-50000000000000.00012300676950822533527504345019424200.00%2150.00%0949169056.15%1048181757.68%45982655.57%144010331101345663358
15Marlies2020000069-32020000069-30000000000000.000611170067695085053352750434591022405240.00%10370.00%0949169056.15%1048181757.68%45982655.57%144010331101345663358
16Nordiks41300000915-62020000049-52110000056-120.250915240067695081345335275043417935221069333.33%100100.00%0949169056.15%1048181757.68%45982655.57%144010331101345663358
17Punishers42200000121203210000011921010000013-240.50012223400676950811253352750434973229799111.11%110100.00%0949169056.15%1048181757.68%45982655.57%144010331101345663358
18Roadrunners11000000532110000005320000000000021.000591400676950830533527504342276254125.00%30100.00%0949169056.15%1048181757.68%45982655.57%144010331101345663358
19Tomahawks211000008801010000045-11100000043120.50081321006769508565335275043474151639500.00%7271.43%1949169056.15%1048181757.68%45982655.57%144010331101345663358
20Wombats21000100880110000005411000010034-130.7508111900676950849533527504345517163110330.00%8187.50%0949169056.15%1048181757.68%45982655.57%144010331101345663358
21Wranglers512020002122-120200000610-4310020001512360.60021385910676950816253352750434186604610711327.27%22863.64%0949169056.15%1048181757.68%45982655.57%144010331101345663358
Total5325160642019416925281510020101099217251060441085778700.660194335529136769508159153352750434170551636111671192420.17%1582683.54%3949169056.15%1048181757.68%45982655.57%144010331101345663358
_Since Last GM Reset5325160642019416925281510020101099217251060441085778700.660194335529136769508159153352750434170551636111671192420.17%1582683.54%3949169056.15%1048181757.68%45982655.57%144010331101345663358
_Vs Conference341511052101171041317860201066561017750320051483440.6471172093261367695081007533527504341108331244732731419.18%1041585.58%2949169056.15%1048181757.68%45982655.57%144010331101345663358
_Vs Division188703210625669530101034268934022002830-2260.722621111731267695085295335275043452218514838435514.29%601280.00%0949169056.15%1048181757.68%45982655.57%144010331101345663358

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5370W319433552915911705516361116713
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5325166420194169
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
281510201010992
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2510644108577
Derniers 10 matchs
WLOTWOTL SOWSOL
811000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1192420.17%1582683.54%3
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
533527504346769508
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
949169056.15%1048181757.68%45982655.57%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
144010331101345663358


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
211Barracuda2Aces6WSommaire du match
319Aces6Barracuda3WSommaire du match
633Barracuda5Aces6WXSommaire du match
739Aces2Barracuda4LSommaire du match
846Aces1Nordiks5LSommaire du match
1160Canucks0Aces1WXXSommaire du match
1370Aces5Wranglers4WSommaire du match
1583Ice Bats2Aces3WSommaire du match
1793Aces1Punishers3LSommaire du match
19106Wranglers5Aces3LSommaire du match
21119Barons3Aces5WSommaire du match
22127Aces1Barons0WSommaire du match
24136Aces1Canucks2LXSommaire du match
27150Punishers4Aces1LSommaire du match
29161Punishers2Aces5WSommaire du match
33178Ice Bats2Aces5WSommaire du match
35188Aces3Bruins2WXXSommaire du match
39203Wombats4Aces5WSommaire du match
41212Aces4Tomahawks3WSommaire du match
43223Broncos2Aces5WSommaire du match
45234Aces6Broncos5WXSommaire du match
48246Admirals1Aces4WSommaire du match
50258Aces5Butter Knives6LXSommaire du match
52270Griffins2Aces3WSommaire du match
53277Aces2Barons3LSommaire du match
55291Nordiks6Aces2LSommaire du match
57302Aces2Ice Bats1WXSommaire du match
60313Nordiks3Aces2LSommaire du match
63330Aces5Lions2WSommaire du match
64337Wranglers5Aces3LSommaire du match
68354Lynx6Aces1LSommaire du match
71369Aces2Canucks3LXSommaire du match
73375Canucks0Aces4WSommaire du match
76396Marlies6Aces4LSommaire du match
78403Aces1Fighting Pandas2LSommaire du match
81419Tomahawks5Aces4LSommaire du match
83426Aces8Admirals4WSommaire du match
85439Aces3Wombats4LXSommaire du match
86443Butter Knives5Aces3LSommaire du match
89462Aces7Wranglers6WXSommaire du match
90465Ice Bats7Aces8WXSommaire du match
92481Aces4Firebirds3WSommaire du match
94488Marlies3Aces2LSommaire du match
96502Aces1Canucks3LSommaire du match
97508Roadrunners3Aces5WSommaire du match
100524Aces4Lions3WSommaire du match
101531Punishers3Aces5WSommaire du match
104544Aces4Americiens3WSommaire du match
106553Firebirds1Aces5WSommaire du match
108569Aces3Wranglers2WXSommaire du match
109573Americiens3Aces4WSommaire du match
112586Aces4Nordiks1WSommaire du match
113595Americiens2Aces5WSommaire du match
116609Aces-Marlies-
117618Bruins-Aces-
118626Aces-Roadrunners-
121639Aces-Tomahawks-
123645Canucks-Aces-
126662Aces-Lynx-
127665Firebirds-Aces-
130681Aces-Griffins-
131687Wranglers-Aces-
135706Fighting Pandas-Aces-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
137714Aces-Ice Bats-
139723Aces-Nordiks-
140731Griffins-Aces-
144751Lions-Aces-
146762Aces-Americiens-
148772Barons-Aces-
150777Aces-Barons-
154795Barons-Aces-
156804Aces-Punishers-
158817Lions-Aces-
159821Aces-Broncos-
161838Barracuda-Aces-
162841Aces-Punishers-
165861Tomahawks-Aces-
166863Aces-Barracuda-
169881Barracuda-Aces-
171885Aces-Barracuda-
172890Aces-Lions-
174902Aces-Griffins-



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
13 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,020,715$ 1,010,000$ 1,010,000$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
1,010,000$ 692,137$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 60 8,629$ 517,740$




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