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Admirals
GP: 9 | W: 6 | L: 3 | OTL: 0 | P: 12
GF: 54 | GA: 33 | PP%: 54.84% | PK%: 80.95%
DG: Yannick Masse | Morale : 50 | Moyenne d’équipe : 58
Prochains matchs #180 vs Cougars

Centre de jeu
Admirals
6-3-0, 12pts
8
FINAL
0 Thunder
4-5-1, 9pts
Team Stats
W2SéquenceW1
2-0-0Fiche domicile2-2-1
4-3-0Fiche domicile2-3-0
6-3-0Derniers 10 matchs4-5-1
6.00Buts par match 4.10
3.67Buts contre par match 5.40
54.84%Pourcentage en avantage numérique30.77%
80.95%Pourcentage en désavantage numérique54.05%
Admirals
6-3-0, 12pts
7
FINAL
2 Cabaret Lady Mary Ann
4-6-1, 9pts
Team Stats
W2SéquenceL1
2-0-0Fiche domicile1-4-1
4-3-0Fiche domicile3-2-0
6-3-0Derniers 10 matchs4-5-1
6.00Buts par match 4.18
3.67Buts contre par match 5.55
54.84%Pourcentage en avantage numérique29.63%
80.95%Pourcentage en désavantage numérique64.10%
Cougars
2-5-3, 7pts
2025-10-31
Admirals
6-3-0, 12pts
Statistiques d’équipe
OTL2SéquenceW2
1-3-2Fiche domicile2-0-0
1-2-1Fiche visiteur4-3-0
2-5-310 derniers matchs6-3-0
4.80Buts par match 6.00
6.10Buts contre par match 6.00
36.11%Pourcentage en avantage numérique54.84%
84.21%Pourcentage en désavantage numérique80.95%
Spiders
7-1-2, 16pts
2025-11-02
Admirals
6-3-0, 12pts
Statistiques d’équipe
W4SéquenceW2
4-0-1Fiche domicile2-0-0
3-1-1Fiche visiteur4-3-0
7-1-210 derniers matchs6-3-0
5.60Buts par match 6.00
4.50Buts contre par match 6.00
15.79%Pourcentage en avantage numérique54.84%
72.22%Pourcentage en désavantage numérique80.95%
Cabaret Lady Mary Ann
4-6-1, 9pts
2025-11-04
Admirals
6-3-0, 12pts
Statistiques d’équipe
L1SéquenceW2
1-4-1Fiche domicile2-0-0
3-2-0Fiche visiteur4-3-0
4-5-110 derniers matchs6-3-0
4.18Buts par match 6.00
5.55Buts contre par match 6.00
29.63%Pourcentage en avantage numérique54.84%
64.10%Pourcentage en désavantage numérique80.95%
Meneurs d'équipe
Buts
Nikita Alexandrov
15
Passes
Colton Dach
12
Points
Colton Dach
25
Plus/Moins
Anton Johansson
9
Victoires
Matthew Murray
6
Pourcentage d’arrêts
Matthew Murray
0.865

Statistiques d’équipe
Buts pour
54
6.00 GFG
Tirs pour
278
30.89 Avg
Pourcentage en avantage numérique
54.8%
17 GF
Début de zone offensive
33.3%
Buts contre
33
3.67 GAA
Tirs contre
244
27.11 Avg
Pourcentage en désavantage numérique
81.0%%
4 GA
Début de la zone défensive
31.7%
Informations de l'équipe

Directeur généralYannick Masse
DivisionEst
ConférenceEst
Capitaine
Assistant #1Justin Falk
Assistant #2Mitch Moroz


Informations de l’aréna

Capacité3,000
Assistance2,656
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure18
Limite contact 42 / 50
Espoirs10


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
1Nikita Nesterenko (R)XX100.00664173727776646746626362675650050640232900,000$
2Colton Dach (R)X100.00744473717774636650636165665150050640212825,000$
3Nikita AlexandrovXXX100.00644175706870656660636162655750050630242950,000$
4Mikael Pyyhtia (R)X100.00624082747074696544616064675650050630221897,500$
5Cameron HughesX100.0057476368606968664565626365575105062N0272650,000$
6Anthony RichardXXX100.0054436769566967644462615765575005061N02721,000,000$
7Garrett PilonX100.00584567666368666456655760635551050610261750,000$
8Lucas CondottaXX100.0063496262666867624261536159555105060N0261650,000$
9Jan Mysak (R)X100.00574173656264626361595853625150050590222900,000$
10Nathan Légaré (R)X100.00615557636565636242535755615250050580231789,167$
11Carter Mazur (R)X100.00594168666361596142575655615150050580222905,833$
12Wyatt NewpowerX100.00624762626866635940535363575550050600261750,000$
13Anton Johansson (R)X100.00624166626358565640545362575050050580203870,000$
14Noah Warren (R)X100.00644264586958575840545359565050050580203865,000$
15Victor MeteX100.00524164585661595540545255557552050560261750,000$
16Artemi Kniazev (R)X100.00534267666156545639514857585150050560231789,167$
17Axel Andersson (R)X100.00544566686352505138434561565150050550241750,000$
Rayé
1Nikita Prishchepov (R)X100.0061426362626159594258555959505005058N02021,000,000$
2Joey Keane (R)X100.00534164605859575540525256555250050550252750,000$
3Benjamin Mirageas (R)X100.00384576576732442425192041255454050420251750,000$
4Brian Zanetti (R)X100.00373737373737373737373737373737050380213675,000$
MOYENNE D’ÉQUIPE100.0058436664636259584355535758535005058
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
1Matthew Murray100.0074677264717274727373635550050650261825,000$
2Eetu Makiniemi (R)100.0069595763636364616463525450050580251750,000$
Rayé
1David Tendeck (R)100.0058555360565557515453495142050510241783,333$
MOYENNE D’ÉQUIPE100.006760616263636561646355534705058
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Colton DachAdmirals (Ana)C9131225375121337123235.14%318720.8757128210000191053.54%25438012.6600001312
2Nikita AlexandrovAdmirals (Ana)C/LW/RW915924-12014840102137.50%917119.0874111021000022077.78%953022.8000000211
3Cameron HughesAdmirals (Ana)C93710213518151891716.67%218420.441232110001100055.73%13188001.0900010000
4Anton JohanssonAdmirals (Ana)D919109601216187115.56%1424226.97022322000216000%0311000.8200000000
5Anthony RichardAdmirals (Ana)C/LW/RW9459355116215819.05%116518.41112211000050080.00%558001.0900001020
6Wyatt NewpowerAdmirals (Ana)D927961410218156913.33%1023926.65235320000117010%0917000.7500200101
7Mikael PyyhtiaAdmirals (Ana)LW94482551114195921.05%014516.16123310000032042.86%749001.1000001021
8Carter MazurAdmirals (Ana)LW9538620105154833.33%111512.860000000000000%022001.3800000100
9Victor MeteAdmirals (Ana)D9066220537220%418120.13011111000117000%023000.6600000000
10Garrett PilonAdmirals (Ana)C924671010137172711.76%012413.7900000000110052.63%5754000.9700011010
11Nathan LégaréAdmirals (Ana)RW931460093103830.00%211713.04000000000000100.00%122000.6800000001
12Nikita NesterenkoAdmirals (Ana)C/LW3134-29551162126.25%26923.0802228000021070.00%1024001.1600010000
13Noah WarrenAdmirals (Ana)D9033480196123120%520322.650001110000120075.00%4222000.2900000000
14Artemi KniazevAdmirals (Ana)D9022200365110%114115.690000100007000%017000.2800000000
15Jan MysakAdmirals (Ana)C9101-4205392511.11%3849.400000000000000%224000.2400000000
16Lucas CondottaAdmirals (Ana)C/LW9011-4409613330%1016318.1200000000000046.15%13114000.1200000000
17Nikita PrishchepovAdmirals (Ana)C7000-500945340%0659.2900000000000075.00%41200000000000
Statistiques d’équipe totales ou en moyenne14554761303689451861242777916919.49%67260217.951724413515500061186154.93%49757128031.0000234776
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
1Matthew MurrayAdmirals (Ana)96300.8653.655420133244129100090001
Statistiques d’équipe totales ou en moyenne96300.8653.65542013324412910090001


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
Anthony RichardAdmirals (Ana)C/LW/RW271996-12-20CANNo163 Lbs5 ft10YesNoFree AgentYesYes22025-09-21FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Anton JohanssonAdmirals (Ana)D202004-06-10SWEYes194 Lbs6 ft4NoNoProspectNoNo32025-07-10FalseFalsePro & Farm870,000$0$0$No870,000$870,000$-------870,000$870,000$-------NoNo-------Lien
Artemi KniazevAdmirals (Ana)D232001-01-04RUSYes180 Lbs5 ft11NoNoTrade2024-10-23NoNo1FalseFalsePro & Farm789,167$0$0$No---------------------------Lien
Axel AnderssonAdmirals (Ana)D242000-02-10SWEYes179 Lbs6 ft0NoNoFree AgentNoYes12025-08-27FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Benjamin MirageasAdmirals (Ana)D251999-05-08USAYes181 Lbs6 ft1NoNoFree AgentYesYes12024-09-03FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Brian ZanettiAdmirals (Ana)D212003-05-15SUIYes186 Lbs6 ft3NoNoProspectNoNo32025-07-10FalseFalsePro & Farm675,000$0$0$No675,000$675,000$-------675,000$675,000$-------NoNo-------Lien
Cameron HughesAdmirals (Ana)C271996-10-09CANNo183 Lbs6 ft0YesNoFree AgentYesYes22025-09-21FalseFalsePro & Farm650,000$0$0$No650,000$--------650,000$--------No--------Lien
Carter MazurAdmirals (Ana)LW222002-03-28USAYes179 Lbs6 ft1NoNoProspectNoNo22024-06-25FalseFalsePro & Farm905,833$0$0$No905,833$--------905,833$--------No--------Lien
Colton DachAdmirals (Ana)C212003-01-04CANYes196 Lbs6 ft4NoNoProspectNoNo22024-06-25FalseFalsePro & Farm825,000$0$0$No825,000$--------825,000$--------No--------Lien
David TendeckAdmirals (Ana)G241999-11-25CANYes172 Lbs6 ft1NoNoN/ANoYes1FalseFalsePro & Farm783,333$0$0$No---------------------------Lien
Eetu MakiniemiAdmirals (Ana)G251999-04-19FINYes183 Lbs6 ft2NoNoFree AgentYesYes12024-09-28FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Garrett PilonAdmirals (Ana)C261998-04-13USANo190 Lbs6 ft0NoNoFree AgentYesYes12024-09-03FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Jan MysakAdmirals (Ana)C222002-06-24CZEYes183 Lbs6 ft0NoNoFree AgentNoNo22024-09-03FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Joey KeaneAdmirals (Ana)D251999-07-02USAYes185 Lbs6 ft1NoNoFree AgentYesYes22025-08-27FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Lucas CondottaAdmirals (Ana)C/LW261997-11-06CANNo209 Lbs6 ft2YesNoFree AgentYesYes12025-09-21FalseFalsePro & Farm650,000$0$0$No---------830,000$-----------------Lien
Matthew MurrayAdmirals (Ana)G261998-02-02CANNo194 Lbs6 ft1NoNoTrade2025-07-16YesYes1FalseFalsePro & Farm825,000$0$0$No---------------------------Lien
Mikael PyyhtiaAdmirals (Ana)LW222001-12-17FINYes176 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm897,500$0$0$No---------------------------Lien
Nathan LégaréAdmirals (Ana)RW232001-01-11CANYes205 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm789,167$0$0$No---------------------------Lien
Nikita AlexandrovAdmirals (Ana)C/LW/RW242000-09-16RUSNo183 Lbs6 ft0NoNoFree AgentNoYes22024-09-03FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien
Nikita NesterenkoAdmirals (Ana)C/LW232001-09-10USAYes195 Lbs6 ft2NoNoFree AgentNoNo22024-09-03FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Nikita PrishchepovAdmirals (Ana)C202004-02-20RUSYes187 Lbs6 ft1YesNoFree AgentNoNo22025-09-14FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$806,667$-------No--------Lien
Noah WarrenAdmirals (Ana)D202004-07-15CANYes225 Lbs6 ft6NoNoProspectNoNo32025-07-10FalseFalsePro & Farm865,000$0$0$No865,000$865,000$-------865,000$865,000$-------NoNo-------Lien
Victor MeteAdmirals (Ana)D261998-06-07CANNo187 Lbs5 ft9NoNoFree AgentYesYes12025-08-27FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Wyatt NewpowerAdmirals (Ana)D261997-12-09USANo209 Lbs6 ft4NoNoFree Agent2024-10-10YesYes12025-08-27FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2423.67189 Lbs6 ft11.63813,542$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Colton DachNikita Alexandrov40122
2Mikael PyyhtiaCameron HughesAnthony Richard30122
3Carter MazurGarrett PilonNathan Légaré20122
4Lucas CondottaJan Mysak10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt NewpowerAnton Johansson40122
2Noah WarrenVictor Mete30122
3Artemi Kniazev20122
4Wyatt NewpowerAnton Johansson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Colton DachNikita Alexandrov60122
2Mikael PyyhtiaCameron HughesAnthony Richard40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt NewpowerAnton Johansson60122
2Noah WarrenVictor Mete40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Colton Dach60122
2Cameron HughesMikael Pyyhtia40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt NewpowerAnton Johansson60122
2Noah WarrenVictor Mete40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Colton Dach60122Wyatt NewpowerAnton Johansson60122
2Cameron Hughes40122Noah WarrenVictor Mete40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Colton Dach60122
2Cameron HughesMikael Pyyhtia40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt NewpowerAnton Johansson60122
2Noah WarrenVictor Mete40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Colton DachNikita AlexandrovWyatt NewpowerAnton Johansson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Colton DachNikita AlexandrovWyatt NewpowerAnton Johansson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cameron Hughes, Anthony Richard, Garrett PilonCameron Hughes, Anthony RichardCameron Hughes
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Victor Mete, Artemi Kniazev, Victor MeteVictor Mete, Artemi Kniazev
Tirs de pénalité
, Colton Dach, Nikita Alexandrov, Mikael Pyyhtia, Cameron Hughes
Gardien
#1 : Matthew Murray, #2 : Eetu Makiniemi


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
1Baby Hawks1010000034-1000000000001010000034-100.0003580016251124073114856299624000%30100.00%08916653.61%8515853.80%10017557.14%176922097315684
2Bruins1010000046-2000000000001010000046-200.0004590016251123273114856321311253133.33%3233.33%08916653.61%8515853.80%10017557.14%176922097315684
3Cabaret Lady Mary Ann11000000725000000000001100000072521.0007101700162511218731148562284172150.00%20100.00%08916653.61%8515853.80%10017557.14%176922097315684
4Caroline10001000651100010006510000000000021.000691500162511231731148562194255120.00%10100.00%08916653.61%8515853.80%10017557.14%176922097315684
5Firebirds1010000068-2000000000001010000068-200.0006915001625112277311485633811215240.00%3166.67%08916653.61%8515853.80%10017557.14%176922097315684
6Jayhawks11000000817000000000001100000081721.00081119001625112337311485618414214250.00%20100.00%08916653.61%8515853.80%10017557.14%176922097315684
7Manchots10001000431100010004310000000000021.00045900162511234731148563984202150.00%2150.00%08916653.61%8515853.80%10017557.14%176922097315684
8Sags11000000844000000000001100000084421.00081321001625112367311485624520165480.00%000%08916653.61%8515853.80%10017557.14%176922097315684
9Thunder11000000808000000000001100000080821.000812200116251122773114856263151955100.00%50100.00%08916653.61%8515853.80%10017557.14%176922097315684
Total9430200054332120002000108274300000442519120.6675479133011625112278731148562446789188311754.84%21480.95%08916653.61%8515853.80%10017557.14%176922097315684
_Since Last GM Reset9430200054332120002000108274300000442519120.6675479133011625112278731148562446789188311754.84%21480.95%08916653.61%8515853.80%10017557.14%176922097315684
_Vs Conference42101000241311100010004313210000020101060.75024355901162511212973114856121295080151173.33%10370.00%08916653.61%8515853.80%10017557.14%176922097315684

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
912W25479133278244678918801
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
94320005433
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2002000108
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
74300004425
Derniers 10 matchs
WLOTWOTL SOWSOL
630000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
311754.84%21480.95%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
731148561625112
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
8916653.61%8515853.80%10017557.14%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
176922097315684


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 - 2025-10-0921Admirals6Firebirds8LSommaire du match
5 - 2025-10-1136Admirals8Sags4WSommaire du match
8 - 2025-10-1456Manchots3Admirals4WXSommaire du match
10 - 2025-10-1670Caroline5Admirals6WXSommaire du match
13 - 2025-10-1991Admirals3Baby Hawks4LSommaire du match
15 - 2025-10-21105Admirals8Jayhawks1WSommaire du match
17 - 2025-10-23111Admirals4Bruins6LSommaire du match
19 - 2025-10-25129Admirals8Thunder0WSommaire du match
22 - 2025-10-28153Admirals7Cabaret Lady Mary Ann2WSommaire du match
25 - 2025-10-31180Cougars-Admirals-
27 - 2025-11-02197Spiders-Admirals-
29 - 2025-11-04211Cabaret Lady Mary Ann-Admirals-
31 - 2025-11-06224Admirals-Stars-
33 - 2025-11-08242Admirals-Las Vegas-
34 - 2025-11-09251Oceanics-Admirals-
36 - 2025-11-11262Admirals-Monsters-
38 - 2025-11-13272Admirals-Cougars-
40 - 2025-11-15284Admirals-Minnesota-
42 - 2025-11-17306Roadrunners-Admirals-
44 - 2025-11-19318Bruins-Admirals-
45 - 2025-11-20329Senators-Admirals-
47 - 2025-11-22346Las Vegas-Admirals-
51 - 2025-11-26374Comets-Admirals-
53 - 2025-11-28384Monarchs-Admirals-
55 - 2025-11-30403Admirals-Baby Hawks-
56 - 2025-12-01409Admirals-Chiefs-
58 - 2025-12-03424Roadrunners-Admirals-
60 - 2025-12-05440Bears-Admirals-
62 - 2025-12-07460Baby Hawks-Admirals-
64 - 2025-12-09470Admirals-Manchots-
66 - 2025-12-11482Admirals-Sound Tigers-
68 - 2025-12-13495Admirals-Spiders-
70 - 2025-12-15515Admirals-Wolf Pack-
71 - 2025-12-16525Admirals-Monsters-
74 - 2025-12-19548Stars-Admirals-
75 - 2025-12-20560Monsters-Admirals-
77 - 2025-12-22573Firebirds-Admirals-
82 - 2025-12-27597Admirals-Monarchs-
84 - 2025-12-29615Sags-Admirals-
86 - 2025-12-31624Thunder-Admirals-
88 - 2026-01-02643Minnesota-Admirals-
91 - 2026-01-05663Admirals-Bears-
92 - 2026-01-06670Admirals-Phantoms-
94 - 2026-01-08688Admirals-Caroline-
96 - 2026-01-10701Admirals-Crunch-
99 - 2026-01-13734Stars-Admirals-
102 - 2026-01-16753Admirals-Monarchs-
103 - 2026-01-17766Monarchs-Admirals-
105 - 2026-01-19779Wolf Pack-Admirals-
107 - 2026-01-21789Admirals-Monsters-
109 - 2026-01-23809Admirals-Firebirds-
111 - 2026-01-25824Admirals-Heat-
112 - 2026-01-26829Admirals-Oil Kings-
115 - 2026-01-29855Admirals-Comets-
118 - 2026-02-01875Las Vegas-Admirals-
120 - 2026-02-03892Firebirds-Admirals-
142 - 2026-02-25917Oil Kings-Admirals-
144 - 2026-02-27933Oceanics-Admirals-
146 - 2026-03-01952Heat-Admirals-
148 - 2026-03-03968Monsters-Admirals-
149 - 2026-03-04973Sound Tigers-Admirals-
151 - 2026-03-06987Rocket-Admirals-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153 - 2026-03-081006Chiefs-Admirals-
155 - 2026-03-101022Admirals-Oceanics-
157 - 2026-03-121029Admirals-Marlies-
159 - 2026-03-141043Admirals-Senators-
160 - 2026-03-151059Admirals-Rocket-
163 - 2026-03-181082Phantoms-Admirals-
165 - 2026-03-201098Admirals-Roadrunners-
167 - 2026-03-221117Crunch-Admirals-
169 - 2026-03-241134Admirals-Comets-
171 - 2026-03-261147Admirals-Heat-
173 - 2026-03-281154Admirals-Oil Kings-
175 - 2026-03-301176Marlies-Admirals-
177 - 2026-04-011190Admirals-Sags-
179 - 2026-04-031206Chiefs-Admirals-
180 - 2026-04-041219Heat-Admirals-
183 - 2026-04-071243Jayhawks-Admirals-
185 - 2026-04-091258Sags-Admirals-
188 - 2026-04-121280Comets-Admirals-
190 - 2026-04-141296Admirals-Minnesota-
192 - 2026-04-161307Admirals-Jayhawks-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3520
Assistance3,9641,348
Assistance PCT99.10%67.40%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
1 2656 - 88.53% 99,420$198,840$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
218,838$ 1,952,500$ 1,952,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,117$ 218,838$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
99,420$ 171 10,117$ 1,730,007$




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