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Admirals
GP: 82 | W: 45 | L: 35 | OTL: 2 | P: 92
GF: 262 | GA: 230 | PP%: 23.21% | PK%: 80.32%
DG: Eric Sabourin | Morale : 40 | Moyenne d’équipe : 63

Centre de jeu
Barracuda
46-29-7, 99pts
1
4 Admirals
45-35-2, 92pts
Team Stats
L1SéquenceW4
25-13-3Fiche domicile24-15-2
21-16-4Fiche domicile21-20-0
2-5-3Derniers 10 matchs8-2-0
3.39Buts par match 3.20
2.99Buts contre par match 2.80
23.59%Pourcentage en avantage numérique23.21%
81.10%Pourcentage en désavantage numérique80.32%
Gulls
52-23-7, 111pts
0
5 Admirals
45-35-2, 92pts
Team Stats
L1SéquenceW4
20-16-5Fiche domicile24-15-2
32-7-2Fiche domicile21-20-0
7-2-1Derniers 10 matchs8-2-0
3.57Buts par match 3.20
3.04Buts contre par match 2.80
18.01%Pourcentage en avantage numérique23.21%
78.93%Pourcentage en désavantage numérique80.32%
Meneurs d'équipe
Sam ColangeloButs
Sam Colangelo
34
Adam WilsbyPasses
Adam Wilsby
50
Sam ColangeloPoints
Sam Colangelo
80
Liam O'BrienPlus/Moins
Liam O'Brien
32
Matt D. MurrayVictoires
Matt D. Murray
32
Chris DriedgerPourcentage d’arrêts
Chris Driedger
0.924

Statistiques d’équipe
Buts pour
262
3.20 GFG
Tirs pour
2633
32.11 Avg
Pourcentage en avantage numérique
23.2%
65 GF
Début de zone offensive
40.8%
Buts contre
230
2.80 GAA
Tirs contre
2629
32.06 Avg
Pourcentage en désavantage numérique
80.3%%
74 GA
Début de la zone défensive
41.5%
Informations de l'équipe

Directeur généralEric Sabourin
EntraîneurKarl Taylor
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité5,000
Assistance3,750
Billets de saison3,750


Informations de la formation

Équipe Pro23
Équipe Mineure20
Limite contact 43 / 70
Espoirs1


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
1Sam Colangelo (R)X100.00733991728387746866636962716465040670243925,000$
2Rodrigo Abols (R)X100.00763993658877726468616263656971040650303925,000$
3Cameron HughesXX100.00553974656485866374666467626971040640294950,000$
4John HaydenX100.00798170638880846267616064597172040640311925,000$
5Tim GettingerXX100.00875190589677805956585762596769040640281925,000$
6Brandon BiroX100.00553688636678826267636162636769040630284950,000$
7Cameron HebigX100.00603883636985846467636261646870040630292925,000$
8Liam O'BrienXX100.00887955668075796258605761567271040630322925,000$
9Reese JohnsonXX100.00796574627677786164605966586769040630281925,000$
10Andre LeeX100.00794279629175796055595861576566040630262925,111$
11Scott ReedyX100.00723893618174665862566059576668040620274925,000$
12Parker FordX100.00653874616885825961586357666567040620262925,000$
13Dino KambeitzXX100.00744179578370805653525859566567040610261925,000$
14Emilio PettersenX100.00573784596678865868605655576567040600262925,111$
15Adam WilsbyX100.00653888667585786530645863516567040640261925,000$
16Kyle CapobiancoX100.00724173648377856230645761496870040640294950,000$
17Gustav LindstromX100.00723981647982776230676063516769040640272925,111$
18John LudvigX100.00726271647977746330626061526567040630261925,000$
19Domenick FensoreX100.00643783606487805930585663496466040610242925,000$
20Joey Keane (R)X100.00633981557268665430575356476668040580273925,000$
Rayé
1Samuel BittenXX100.00716355568064765458525355546567040580264925,000$
MOYENNE D’ÉQUIPE100.0070477962787878615460596157676804063
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
1Matt D. Murray100.0079858177787779787779786777040680282925,111$
2Chris Driedger100.0075837888747375747375747185040660322925,001$
Rayé
MOYENNE D’ÉQUIPE100.007784808376757776757776698104067
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Karl Taylor72737164837868CAN542500,000$


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
1Sam ColangeloAdmirals (NSH)RW76344680243801541813098526511.00%22180523.75109195021602273376252.24%87100010.8936000453
2Rodrigo AbolsAdmirals (NSH)C79253964174001171952396318610.46%13161620.46715224219511282312152.45%191600100.7925000245
3Adam WilsbyAdmirals (NSH)D8285058213401009213160856.11%135205725.0941216672320003334200%000000.5600000242
4Cameron HughesAdmirals (NSH)C/LW822433571426073160265782109.06%30162019.77810183821701161485247.21%34100000.7034000430
5Gustav LindstromAdmirals (NSH)D821933522476016098118377516.10%113183722.4110919682071012279310%000100.5700000312
6Kyle CapobiancoAdmirals (NSH)D78103545-2104102139495336110.53%116179222.9751318522130002265100%000000.5000002043
7Derek RyanPredatorsC/LW/RW56202343-5140581971745113811.49%30132023.58781527154101112391157.72%125600000.6524000205
8John LudvigAdmirals (NSH)D8273643510010163879634687.29%103172120.9941418431990001270200%000000.5000020214
9Cameron HebigAdmirals (NSH)RW821626422218028791534611110.46%6106913.041451062000141246.15%7800000.7900000031
10Reese JohnsonAdmirals (NSH)C/RW821724414415120100226721437.52%7121414.81481229152000004155.56%7200000.6800010242
11John HaydenAdmirals (NSH)C81182240185551111361564412711.54%9111313.75235135300021035054.41%120200000.7200100144
12Liam O'BrienAdmirals (NSH)C/LW821819373213315241101121479114.88%19111313.580004180112682149.68%31400000.6600021342
13Tim GettingerAdmirals (NSH)LW/RW82152237-1801017468158531099.49%11146017.813710302180000281046.62%14800000.5100002223
14Brandon BiroAdmirals (NSH)LW82622287140387810136775.94%40106012.940220120000311155.26%3800000.5300000011
15Domenick FensoreAdmirals (NSH)D81515201040091635118379.80%67123115.20101223000073210%000000.3200000022
16Andre LeeAdmirals (NSH)LW821181904156049108236010.19%106578.01000070000172048.08%10400000.5800100210
17Scott ReedyAdmirals (NSH)C826511-52023556719338.96%64545.5500005000001046.63%48900000.4800000001
18Parker FordAdmirals (NSH)RW82145-28038277421531.35%34905.9800000000000041.86%4300000.2000000000
19Joey KeaneAdmirals (NSH)D15033-31602272160%1121314.2300000000123000%000000.2800000000
20Emilio PettersenAdmirals (NSH)LW23011100226120%2361.5800002000030053.33%1500000.5500000000
21Dino KambeitzAdmirals (NSH)C/RW4810110012252220.00%2831.7300005000020042.86%4900000.2400000000
Statistiques d’équipe totales ou en moyenne15212614667271828806019981871265582419399.83%7552396915.76661141804752199358462465411352.58%693600210.611019255294340
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
1Matt D. MurrayAdmirals (NSH)66323110.9092.8437370617719410200.778964181032
2Chris DriedgerAdmirals (NSH)2413410.9242.58121101526880000.66791864420
Statistiques d’équipe totales ou en moyenne90453520.9132.7849490722926290201882821452


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
Adam WilsbyAdmirals (NSH)D262000-08-07SWENo188 Lbs185 CMNoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Andre LeeAdmirals (NSH)LW262000-07-26SWENo206 Lbs196 CMNoNoFree AgentNoNo22025-07-13FalseFalsePro & Farm925,111$0$0$No925,111$--------925,111$--------No--------Lien / Lien NHL
Brandon BiroAdmirals (NSH)LW281998-03-11CANNo170 Lbs180 CMNoNoTrade2025-07-22YesYes42024-07-22FalseFalsePro & Farm950,000$0$0$No950,000$950,000$950,000$------950,000$950,000$950,000$------NoNoNo------Lien / Lien NHL
Cameron HebigAdmirals (NSH)RW291997-01-21CANNo184 Lbs180 CMNoNoFree AgentYesYes22025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Cameron HughesAdmirals (NSH)C/LW291996-10-09CANNo160 Lbs180 CMNoNoTrade2025-07-22YesYes42024-07-22FalseFalsePro & Farm950,000$0$0$No950,000$950,000$950,000$------950,000$950,000$950,000$------NoNoNo------Lien / Lien NHL
Chris DriedgerAdmirals (NSH)G321994-05-18CANNo208 Lbs193 CMNoNoFree AgentYesYes22025-07-19FalseFalsePro & Farm925,001$0$0$No925,001$--------925,001$--------No--------Lien / Lien NHL
Dino KambeitzAdmirals (NSH)C/RW262000-01-25USANo212 Lbs188 CMNoNoTrade2025-07-22NoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Domenick FensoreAdmirals (NSH)D242001-09-07USANo175 Lbs175 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Emilio PettersenAdmirals (NSH)LW262000-04-03NORNo170 Lbs180 CMNoNoFree AgentNoNo22025-07-13FalseFalsePro & Farm925,111$0$0$No925,111$--------925,111$--------No--------Lien / Lien NHL
Gustav LindstromAdmirals (NSH)D271998-10-20SWENo194 Lbs188 CMNoNoFree AgentNoNo22025-07-13FalseFalsePro & Farm925,111$0$0$No925,111$--------925,111$--------No--------Lien / Lien NHL
Joey KeaneAdmirals (NSH)D271999-07-02USAYes187 Lbs183 CMNoNoDraftNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
John HaydenAdmirals (NSH)C311995-02-14USANo223 Lbs191 CMNoNoTrade2025-07-22YesYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
John LudvigAdmirals (NSH)D262000-08-02CANNo210 Lbs185 CMNoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Kyle CapobiancoAdmirals (NSH)D291997-08-13CANNo198 Lbs191 CMNoNoTrade2025-07-22YesYes42024-07-22FalseFalsePro & Farm950,000$0$0$No950,000$950,000$950,000$------950,000$950,000$950,000$------NoNoNo------Lien / Lien NHL
Liam O'BrienAdmirals (NSH)C/LW321994-07-29CANNo215 Lbs185 CMNoNoFree Agent2024-02-27YesYes22025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Matt D. MurrayAdmirals (NSH)G281998-02-02CANNo196 Lbs185 CMNoNoFree AgentYesYes22025-07-13FalseFalsePro & Farm925,111$0$0$No925,111$--------925,111$--------No--------Lien / Lien NHL
Parker FordAdmirals (NSH)RW262000-07-20USANo181 Lbs175 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Reese JohnsonAdmirals (NSH)C/RW281998-07-10CANNo193 Lbs185 CMNoNoAssign ManuallyYesYes12024-07-22FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Rodrigo AbolsAdmirals (NSH)C301996-01-05LVAYes206 Lbs193 CMNoNoTrade2025-07-22NoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Sam ColangeloAdmirals (NSH)RW242001-12-26USAYes211 Lbs188 CMNoNoTrade2025-11-02NoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Samuel BittenAdmirals (NSH)C/LW262000-03-21CANNo200 Lbs188 CMNoNoAssign ManuallyNoNo42024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Scott ReedyAdmirals (NSH)C271999-04-04USANo205 Lbs188 CMNoNoAssign ManuallyNoNo42024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Tim GettingerAdmirals (NSH)LW/RW281998-04-14USANo220 Lbs198 CMNoNoAssign ManuallyYesYes12024-07-22FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2327.61196 Lbs185 CM2.30928,280$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cameron HughesRodrigo AbolsSam Colangelo40122
2Tim GettingerJohn HaydenReese Johnson30122
3Andre LeeLiam O'BrienCameron Hebig20122
4Brandon BiroScott ReedyParker Ford10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam WilsbyKyle Capobianco40122
2Gustav LindstromJohn Ludvig30122
3Domenick FensoreJoey Keane20122
4Adam WilsbyKyle Capobianco10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cameron HughesRodrigo AbolsSam Colangelo60122
2Tim GettingerJohn HaydenReese Johnson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam WilsbyKyle Capobianco60122
2Gustav LindstromJohn Ludvig40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sam ColangeloRodrigo Abols60122
2Cameron HughesJohn Hayden40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam WilsbyKyle Capobianco60122
2Gustav LindstromJohn Ludvig40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sam Colangelo60122Adam WilsbyKyle Capobianco60122
2Rodrigo Abols40122Gustav LindstromJohn Ludvig40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sam ColangeloRodrigo Abols60122
2Cameron HughesJohn Hayden40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam WilsbyKyle Capobianco60122
2Gustav LindstromJohn Ludvig40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cameron HughesRodrigo AbolsSam ColangeloAdam WilsbyKyle Capobianco
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cameron HughesRodrigo AbolsSam ColangeloAdam WilsbyKyle Capobianco
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Dino Kambeitz, Emilio Pettersen, Liam O'BrienDino Kambeitz, Emilio PettersenLiam O'Brien
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Domenick Fensore, Joey Keane, Gustav LindstromDomenick FensoreJoey Keane, Gustav Lindstrom
Tirs de pénalité
Sam Colangelo, Rodrigo Abols, Cameron Hughes, John Hayden, Tim Gettinger
Gardien
#1 : Chris Driedger, #2 : Matt D. Murray


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
1Americans211000005321010000023-11100000030320.50059140110393571467904873830446194485120.00%20100.00%01542290653.06%1551295052.58%673126053.41%1996137119165991041523
2Barracuda31101000853211000006421000100021140.6678162400103935714103904873830441003237968225.00%15286.67%01542290653.06%1551295052.58%673126053.41%1996137119165991041523
3Bears2020000049-51010000024-21010000025-300.000459001039357145290487383044661236416116.67%15380.00%01542290653.06%1551295052.58%673126053.41%1996137119165991041523
4Bruins21001000523100010003211100000020241.000591401103935714659048738304455181653300.00%8187.50%01542290653.06%1551295052.58%673126053.41%1996137119165991041523
5Canucks32100000761211000003301100000043140.6677121901103935714869048738304411119366614214.29%17382.35%01542290653.06%1551295052.58%673126053.41%1996137119165991041523
6Checkers21001000844110000003031000100054141.00081523011039357149690487383044601218636116.67%8187.50%01542290653.06%1551295052.58%673126053.41%1996137119165991041523
7Comets20200000510-51010000014-31010000046-200.0005813001039357145890487383044551216588112.50%8275.00%01542290653.06%1551295052.58%673126053.41%1996137119165991041523
8Condors33000000188101100000061522000000127561.00018335100103935714114904873830448827366811545.45%10190.00%01542290653.06%1551295052.58%673126053.41%1996137119165991041523
9Crunch21001000862110000004311000100043141.00081624001039357147490487383044502016596233.33%8275.00%01542290653.06%1551295052.58%673126053.41%1996137119165991041523
10Eagles40200110813-5200001104402020000049-530.37581321001039357141209048738304412528408912216.67%20670.00%01542290653.06%1551295052.58%673126053.41%1996137119165991041523
11Firebirds3210000010731010000024-22200000083540.667101828001039357149290487383044672328648337.50%12283.33%01542290653.06%1551295052.58%673126053.41%1996137119165991041523
12Griffins22000000844110000004131100000043141.00081321001039357145390487383044682729504125.00%12191.67%01542290653.06%1551295052.58%673126053.41%1996137119165991041523
13Gulls311000011192210000018441010000035-230.500112031011039357141109048738304410824208311436.36%9366.67%01542290653.06%1551295052.58%673126053.41%1996137119165991041523
14Heat312000001214-2211000009811010000036-320.333122234001039357141009048738304411137307418527.78%15473.33%01542290653.06%1551295052.58%673126053.41%1996137119165991041523
15IceHogs40400000915-62020000048-42020000057-200.00091524001039357141129048738304413741449118422.22%22577.27%11542290653.06%1551295052.58%673126053.41%1996137119165991041523
16Marlies2020000036-31010000024-21010000012-100.000358001039357147090487383044682929556233.33%11190.91%01542290653.06%1551295052.58%673126053.41%1996137119165991041523
17Monsters2110000034-1110000002111010000013-220.500369001039357145890487383044571818498112.50%8275.00%01542290653.06%1551295052.58%673126053.41%1996137119165991041523
18Moose32100000853110000003122110000054140.667814220010393571499904873830447722288110110.00%13284.62%11542290653.06%1551295052.58%673126053.41%1996137119165991041523
19Penguins20100010990100000104311010000056-120.50091423001039357146490487383044741816457342.86%8450.00%01542290653.06%1551295052.58%673126053.41%1996137119165991041523
20Phantoms2020000048-41010000025-31010000023-100.000481200103935714659048738304456182044800.00%10460.00%01542290653.06%1551295052.58%673126053.41%1996137119165991041523
21Reign31100010862110000003122010001055040.6678132100103935714729048738304411017446712325.00%22386.36%01542290653.06%1551295052.58%673126053.41%1996137119165991041523
22Roadrunners412000101315-2211000007702010001068-240.500131932001039357141149048738304416044638813215.38%24579.17%01542290653.06%1551295052.58%673126053.41%1996137119165991041523
23Rocket21100000761110000005321010000023-120.50071320001039357146790487383044532218494125.00%6183.33%01542290653.06%1551295052.58%673126053.41%1996137119165991041523
24Senators20200000711-41010000057-21010000024-200.00071421001039357146890487383044552216549333.33%6266.67%01542290653.06%1551295052.58%673126053.41%1996137119165991041523
25Silver Knights321000001183110000005232110000066040.6671119300010393571486904873830441353438703266.67%19478.95%01542290653.06%1551295052.58%673126053.41%1996137119165991041523
26Sound Tigers22000000945110000006241100000032141.00091726001039357146890487383044612439534125.00%9277.78%01542290653.06%1551295052.58%673126053.41%1996137119165991041523
27Stars330000001697220000008441100000085361.00016264200103935714106904873830447034285615426.67%14378.57%01542290653.06%1551295052.58%673126053.41%1996137119165991041523
28Thunderbirds421000101165210000109362110000023-160.750112031011039357141399048738304411930338317423.53%140100.00%01542290653.06%1551295052.58%673126053.41%1996137119165991041523
29Wild4220000016124211000007612110000096340.500162844001039357141409048738304412930371049111.11%14285.71%11542290653.06%1551295052.58%673126053.41%1996137119165991041523
30Wolf Pack211000005411010000034-11100000020220.500591401103935714479048738304474252446700.00%12375.00%01542290653.06%1551295052.58%673126053.41%1996137119165991041523
31Wolves22000000624110000003121100000031241.000610160010393571468904873830446924155510330.00%50100.00%01542290653.06%1551295052.58%673126053.41%1996137119165991041523
Total82363504151262230324120150113113510728411620030201271234920.56126245972107103935714263390487383044262975287220022806523.21%3767480.32%31542290653.06%1551295052.58%673126053.41%1996137119165991041523
_Since Last GM Reset82363504151262230324120150113113510728411620030201271234920.56126245972107103935714263390487383044262975287220022806523.21%3767480.32%31542290653.06%1551295052.58%673126053.41%1996137119165991041523
_Vs Conference502320011411661382825138001218460242510120102082784580.58016628845403103935714159390487383044164744254211801794424.58%2404581.25%31542290653.06%1551295052.58%673126053.41%1996137119165991041523
_Vs Division2610120013081756136400120423391348000103942-3270.519811352160110393571483090487383044817229273592941819.15%1212380.99%31542290653.06%1551295052.58%673126053.41%1996137119165991041523

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8292W426245972126332629752872200207
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8236354151262230
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4120151131135107
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4116203020127123
Derniers 10 matchs
WLOTWOTL SOWSOL
820000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2806523.21%3767480.32%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
90487383044103935714
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
1542290653.06%1551295052.58%673126053.41%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1996137119165991041523


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
3 - 2025-09-2816Monsters1Admirals2WSommaire du match
5 - 2025-09-3032Roadrunners3Admirals2LSommaire du match
7 - 2025-10-0241Admirals2Senators4LSommaire du match
8 - 2025-10-0349Admirals1Marlies2LSommaire du match
10 - 2025-10-0562Admirals2Rocket3LSommaire du match
12 - 2025-10-0784Admirals3Moose1WSommaire du match
15 - 2025-10-10105Gulls4Admirals3LXXSommaire du match
17 - 2025-10-12118Canucks3Admirals2LSommaire du match
19 - 2025-10-14137Reign1Admirals3WSommaire du match
20 - 2025-10-15145Stars1Admirals3WSommaire du match
22 - 2025-10-17156Crunch3Admirals4WSommaire du match
24 - 2025-10-19170Admirals2Phantoms3LSommaire du match
26 - 2025-10-21183Heat7Admirals3LSommaire du match
28 - 2025-10-23201Canucks0Admirals1WSommaire du match
29 - 2025-10-24208Admirals3Wild4LSommaire du match
31 - 2025-10-26223Phantoms5Admirals2LSommaire du match
33 - 2025-10-28233Stars3Admirals5WSommaire du match
35 - 2025-10-30253Admirals2Wolf Pack0WSommaire du match
39 - 2025-11-03281Penguins3Admirals4WXXSommaire du match
41 - 2025-11-05296Admirals5Penguins6LSommaire du match
47 - 2025-11-11343Eagles1Admirals2WXXSommaire du match
49 - 2025-11-13357Checkers0Admirals3WSommaire du match
51 - 2025-11-15361Admirals4Griffins3WSommaire du match
53 - 2025-11-17389Admirals2IceHogs3LSommaire du match
54 - 2025-11-18397Moose1Admirals3WSommaire du match
57 - 2025-11-21416Heat1Admirals6WSommaire du match
59 - 2025-11-23429Admirals5Checkers4WXSommaire du match
61 - 2025-11-25447Admirals3Wolves1WSommaire du match
64 - 2025-11-28475Eagles3Admirals2LXSommaire du match
66 - 2025-11-30487Thunderbirds2Admirals3WXXSommaire du match
68 - 2025-12-02506Admirals2Eagles5LSommaire du match
70 - 2025-12-04517Admirals0Thunderbirds3LSommaire du match
72 - 2025-12-06532Wolves1Admirals3WSommaire du match
75 - 2025-12-09558Marlies4Admirals2LSommaire du match
76 - 2025-12-10567Wolf Pack4Admirals3LSommaire du match
78 - 2025-12-12582Admirals6Wild2WSommaire du match
82 - 2025-12-16595Admirals2Thunderbirds0WSommaire du match
84 - 2025-12-18612Admirals2Roadrunners5LSommaire du match
86 - 2025-12-20623Admirals1Silver Knights3LSommaire du match
87 - 2025-12-21638Admirals5Firebirds2WSommaire du match
89 - 2025-12-23654Admirals3Heat6LSommaire du match
92 - 2025-12-26674Admirals6Condors2WSommaire du match
94 - 2025-12-28689Sound Tigers2Admirals6WSommaire du match
96 - 2025-12-30707IceHogs4Admirals2LSommaire du match
97 - 2025-12-31713Bears4Admirals2LSommaire du match
99 - 2026-01-02731Condors1Admirals6WSommaire du match
102 - 2026-01-05752Admirals2Eagles4LSommaire du match
103 - 2026-01-06765Admirals5Silver Knights3WSommaire du match
106 - 2026-01-09784Americans3Admirals2LSommaire du match
108 - 2026-01-11798Senators7Admirals5LSommaire du match
110 - 2026-01-13811Roadrunners4Admirals5WSommaire du match
113 - 2026-01-16830Admirals2Bruins0WSommaire du match
115 - 2026-01-18848Admirals4Comets6LSommaire du match
117 - 2026-01-20867Admirals3Sound Tigers2WSommaire du match
119 - 2026-01-22880Thunderbirds1Admirals6WSommaire du match
121 - 2026-01-24896Wild5Admirals2LSommaire du match
122 - 2026-01-25908Admirals2Bears5LSommaire du match
143 - 2026-02-15926IceHogs4Admirals2LSommaire du match
145 - 2026-02-17945Admirals8Stars5WSommaire du match
147 - 2026-02-19955Griffins1Admirals4WSommaire du match
148 - 2026-02-20963Admirals1Monsters3LSommaire du match
150 - 2026-02-22979Bruins2Admirals3WXSommaire du match
152 - 2026-02-24992Admirals3Americans0WSommaire du match
155 - 2026-02-271024Admirals3Firebirds1WSommaire du match
157 - 2026-03-011038Admirals4Canucks3WSommaire du match
160 - 2026-03-041061Admirals6Condors5WSommaire du match
162 - 2026-03-061071Admirals2Moose3LSommaire du match
164 - 2026-03-081087Firebirds4Admirals2LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
166 - 2026-03-101100Silver Knights2Admirals5WSommaire du match
167 - 2026-03-111113Admirals3IceHogs4LSommaire du match
169 - 2026-03-131129Barracuda3Admirals2LSommaire du match
171 - 2026-03-151144Comets4Admirals1LSommaire du match
173 - 2026-03-171161Rocket3Admirals5WSommaire du match
174 - 2026-03-181168Admirals4Crunch3WXSommaire du match
178 - 2026-03-221204Admirals1Reign2LSommaire du match
180 - 2026-03-241220Admirals2Barracuda1WXSommaire du match
182 - 2026-03-261232Admirals4Reign3WXXSommaire du match
183 - 2026-03-271243Admirals3Gulls5LSommaire du match
185 - 2026-03-291257Admirals4Roadrunners3WXXSommaire du match
187 - 2026-03-311267Wild1Admirals5WSommaire du match
189 - 2026-04-021287Barracuda1Admirals4WSommaire du match
192 - 2026-04-051307Gulls0Admirals5WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets3528
Assistance92,25061,500
Assistance PCT75.00%75.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 3750 - 75.00% 176,295$7,228,095$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,701,105$ 2,135,044$ 2,135,044$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,201,188$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 13,653$ 0$




Admirals 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

Admirals 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

Admirals 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

Admirals 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

Admirals 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