Please rotate your device to landscape mode for a better experience.
Connexion

Admirals
GP: 32 | W: 20 | L: 10 | OTL: 2 | P: 42
GF: 151 | GA: 118 | PP%: 49.04% | PK%: 69.14%
DG: Yannick Masse | Morale : 50 | Moyenne d’équipe : 57
Prochains matchs #515 vs Wolf Pack

Centre de jeu
Admirals
20-10-2, 42pts
0
FINAL
2 Sound Tigers
17-10-6, 40pts
Team Stats
L2SéquenceW4
12-2-1Fiche domicile9-4-5
8-8-1Fiche domicile8-6-1
5-5-0Derniers 10 matchs6-2-2
4.72Buts par match 4.09
3.69Buts contre par match 3.94
49.04%Pourcentage en avantage numérique25.88%
69.14%Pourcentage en désavantage numérique65.33%
Admirals
20-10-2, 42pts
2
FINAL
4 Spiders
23-5-4, 50pts
Team Stats
L2SéquenceW5
12-2-1Fiche domicile12-2-2
8-8-1Fiche domicile11-3-2
5-5-0Derniers 10 matchs8-2-0
4.72Buts par match 5.34
3.69Buts contre par match 3.91
49.04%Pourcentage en avantage numérique26.53%
69.14%Pourcentage en désavantage numérique65.67%
Admirals
20-10-2, 42pts
2025-12-15
Wolf Pack
22-11-0, 44pts
Statistiques d’équipe
L2SéquenceW3
12-2-1Fiche domicile9-6-0
8-8-1Fiche visiteur13-5-0
5-5-010 derniers matchs7-3-0
4.72Buts par match 4.48
3.69Buts contre par match 4.48
49.04%Pourcentage en avantage numérique41.75%
69.14%Pourcentage en désavantage numérique73.53%
Admirals
20-10-2, 42pts
2025-12-16
Monsters
20-11-1, 41pts
Statistiques d’équipe
L2SéquenceW7
12-2-1Fiche domicile8-6-0
8-8-1Fiche visiteur12-5-1
5-5-010 derniers matchs9-1-0
4.72Buts par match 4.41
3.69Buts contre par match 4.41
49.04%Pourcentage en avantage numérique25.53%
69.14%Pourcentage en désavantage numérique79.76%
Stars
24-6-3, 51pts
2025-12-19
Admirals
20-10-2, 42pts
Statistiques d’équipe
W1SéquenceL2
12-3-1Fiche domicile12-2-1
12-3-2Fiche visiteur8-8-1
9-0-110 derniers matchs5-5-0
5.09Buts par match 4.72
3.24Buts contre par match 4.72
68.09%Pourcentage en avantage numérique49.04%
75.29%Pourcentage en désavantage numérique69.14%
Meneurs d'équipe
Buts
Nikita Alexandrov
34
Passes
Colton Dach
43
Points
Colton Dach
72
Plus/Moins
Colton Dach
15
Victoires
Matthew Murray
20
Pourcentage d’arrêts
Matthew Murray
0.874

Statistiques d’équipe
Buts pour
151
4.72 GFG
Tirs pour
875
27.34 Avg
Pourcentage en avantage numérique
49.0%
51 GF
Début de zone offensive
33.6%
Buts contre
118
3.69 GAA
Tirs contre
934
29.19 Avg
Pourcentage en désavantage numérique
69.1%%
25 GA
Début de la zone défensive
35.6%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,575
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure19
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
1Colton Dach (R)X100.00744473717774636650636165665150050640212825,000$
2Nikita AlexandrovXXX100.00644175706870656660636162655750050630242950,000$
3Mikael Pyyhtia (R)X100.00624082747074696544616064675650050630221897,500$
4Cameron HughesX100.0057476368606968664565626365575105062N0272650,000$
5Anthony RichardXXX100.0054436769566967644462615765575005061N02721,000,000$
6Garrett PilonX100.00584567666368666456655760635551050610261750,000$
7Lucas CondottaXX100.0063496262666867624261536159555105060N0261650,000$
8Jan Mysak (R)X100.00574173656264626361595853625150050590222900,000$
9Nathan Légaré (R)X100.00615557636565636242535755615250050580231789,167$
10Carter Mazur (R)X100.00594168666361596142575655615150050580222905,833$
11Nikita Prishchepov (R)X100.0061426362626159594258555959505005058N02021,000,000$
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
1Joey Keane (R)X100.00534164605859575540525256555250050550252750,000$
2Benjamin Mirageas (R)X100.00384576576732442425192041255454050420251750,000$
3Brian Zanetti (R)X100.00373737373737373737373737373737050380213675,000$
MOYENNE D’ÉQUIPE100.0057436663636159574354535757535005057
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)C322943721516104861121399323.97%2070622.0913253844850222714253.13%8621027032.04000111052
2Nikita AlexandrovAdmirals (Ana)C/LW/RW3234316571355341132448225.76%1563319.801818364684000034162.86%352710032.0500100443
3Cameron HughesAdmirals (Ana)C32142034-28220564870325020.00%1265720.553587361013381049.65%4232529001.0300031201
4Anton JohanssonAdmirals (Ana)D327233010220394758233412.07%5286727.105510158201156701100.00%1839000.6900000011
5Mikael PyyhtiaAdmirals (Ana)LW32131427-255323554173624.07%950415.77268836000094135.00%201313001.0700001033
6Anthony RichardAdmirals (Ana)C/LW/RW3211142531610523073233115.07%760218.842356420002191037.50%321716000.8300002030
7Noah WarrenAdmirals (Ana)D328152345420703751182615.69%3479224.7533611570110491042.86%7552000.5800202212
8Garrett PilonAdmirals (Ana)C32612182282042486719358.96%1152716.4800014000151058.50%2001713000.6800013011
9Carter MazurAdmirals (Ana)LW3210818-295351946143321.74%1046514.5400000000001057.14%797000.7700001102
10Wyatt NewpowerAdmirals (Ana)D1421113416102817239128.70%2037426.78257336000128010%01427000.6900200101
11Victor MeteAdmirals (Ana)D32291151953026281097.14%2067020.9622494600024600100.00%61023000.3300001001
12Nathan LégaréAdmirals (Ana)RW3265111140422240112615.00%748015.0100015000000050.00%1499100.4600000101
13Lucas CondottaAdmirals (Ana)C/LW32279-619546373713175.41%1959118.4800000000000149.30%71624000.3000100012
14Artemi KniazevAdmirals (Ana)D32077180163514570%1661919.35000118000135000%0422000.2300000000
15Nikita NesterenkoAnaheimC/LW425709561214149.52%29223.19033311000032072.73%1145001.5100010010
16Jan MysakAdmirals (Ana)C21336-12014182051015.00%622310.6500000000000066.67%976000.5400000000
17Nikita PrishchepovAdmirals (Ana)C18000-940171610480%218210.1400000000000069.23%133200000000000
Statistiques d’équipe totales ou en moyenne4731492273763033612062653886529052317.23%262899219.0150751251555481451738319752.89%1711188324160.84006612212020
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)32201020.8743.621906011159154793000320011
2Eetu MakiniemiAdmirals (Ana)10000.8427.50240031990000032000
Statistiques d’équipe totales ou en moyenne33201020.8743.671930011189344883003232011


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 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
2323.70188 Lbs6 ft11.61809,783$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Colton DachNikita Alexandrov40122
2Mikael PyyhtiaCameron HughesAnthony Richard30122
3Carter MazurGarrett PilonNathan Légaré20122
4Lucas CondottaNikita Prishchepov10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anton JohanssonNoah Warren40122
2Victor MeteArtemi Kniazev30122
320122
4Anton JohanssonNoah Warren10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Colton DachNikita Alexandrov60122
2Mikael PyyhtiaCameron HughesAnthony Richard40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anton JohanssonNoah Warren60122
2Victor MeteArtemi Kniazev40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Colton Dach60122
2Cameron HughesMikael Pyyhtia40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anton JohanssonNoah Warren60122
2Victor MeteArtemi Kniazev40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Colton Dach60122Anton JohanssonNoah Warren60122
2Cameron Hughes40122Victor MeteArtemi Kniazev40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Colton Dach60122
2Cameron HughesMikael Pyyhtia40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anton JohanssonNoah Warren60122
2Victor MeteArtemi Kniazev40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Colton DachNikita AlexandrovAnton JohanssonNoah Warren
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Colton DachNikita AlexandrovAnton JohanssonNoah Warren
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cameron Hughes, Anthony Richard, Garrett PilonCameron Hughes, Anthony RichardCameron Hughes
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Artemi Kniazev, , Artemi KniazevArtemi 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 Hawks30300000514-91010000014-320200000410-600.00059140032704548921436028417103272273000%11281.82%029258050.34%32861553.33%29453355.16%603294694295633329
2Bears11000000532110000005320000000000021.0005813003270454302143602841729521933100.00%10100.00%029258050.34%32861553.33%29453355.16%603294694295633329
3Bruins211000001284110000008261010000046-220.50012183000327045458214360284175216454310550.00%5420.00%029258050.34%32861553.33%29453355.16%603294694295633329
4Cabaret Lady Mary Ann220000001138110000004131100000072541.0001115260032704544621436028417471912348337.50%60100.00%029258050.34%32861553.33%29453355.16%603294694295633329
5Caroline10001000651100010006510000000000021.000691500327045431214360284172194255120.00%10100.00%029258050.34%32861553.33%29453355.16%603294694295633329
6Chiefs1010000037-4000000000001010000037-400.0003580032704542521436028417281020185240.00%5340.00%029258050.34%32861553.33%29453355.16%603294694295633329
7Comets11000000523110000005230000000000021.000571200327045442214360284172574317228.57%20100.00%029258050.34%32861553.33%29453355.16%603294694295633329
8Cougars21000100862110000006331000010023-130.75081422003270454452143602841743102330300.00%8187.50%129258050.34%32861553.33%29453355.16%603294694295633329
9Firebirds1010000068-2000000000001010000068-200.0006915003270454272143602841733811215240.00%3166.67%029258050.34%32861553.33%29453355.16%603294694295633329
10Jayhawks11000000817000000000001100000081721.00081119003270454332143602841718414214250.00%20100.00%029258050.34%32861553.33%29453355.16%603294694295633329
11Las Vegas220000001165110000005231100000064241.0001119300032704544721436028417481831389666.67%3233.33%029258050.34%32861553.33%29453355.16%603294694295633329
12Manchots210010001082100010004311100000065141.0001013230032704546221436028417761216336466.67%8275.00%029258050.34%32861553.33%29453355.16%603294694295633329
13Minnesota10001000211000000000001000100021121.0002350032704541921436028417144216000%10100.00%029258050.34%32861553.33%29453355.16%603294694295633329
14Monarchs11000000642110000006420000000000021.00061016003270454302143602841727114166350.00%20100.00%029258050.34%32861553.33%29453355.16%603294694295633329
15Monsters11000000945000000000001100000094521.00091423003270454332143602841730724195360.00%2150.00%029258050.34%32861553.33%29453355.16%603294694295633329
16Oceanics11000000532110000005320000000000021.00058130032704542321436028417411012233133.33%10100.00%129258050.34%32861553.33%29453355.16%603294694295633329
17Roadrunners210001001110121000100111010000000000030.750111627003270454722143602841783276435120.00%330.00%029258050.34%32861553.33%29453355.16%603294694295633329
18Sags11000000844000000000001100000084421.00081321003270454362143602841724520165480.00%000%029258050.34%32861553.33%29453355.16%603294694295633329
19Senators10001000431100010004310000000000021.00046100032704541421436028417218292111100.00%2150.00%029258050.34%32861553.33%29453355.16%603294694295633329
20Sound Tigers1010000002-2000000000001010000002-200.0000000032704541221436028417195625100.00%3166.67%029258050.34%32861553.33%29453355.16%603294694295633329
21Spiders2020000039-61010000015-41010000024-200.000358003270454342143602841787276375120.00%3166.67%029258050.34%32861553.33%29453355.16%603294694295633329
22Stars1010000057-2000000000001010000057-200.0005914003270454402143602841739138183266.67%4325.00%029258050.34%32861553.33%29453355.16%603294694295633329
23Thunder11000000808000000000001100000080821.000812200132704542721436028417263151955100.00%50100.00%029258050.34%32861553.33%29453355.16%603294694295633329
Total3216100420015111833159203100715021177801100806812420.656151233384013270454875214360284179342653366391045149.04%812569.14%229258050.34%32861553.33%29453355.16%603294694295633329
_Since Last GM Reset3216100420015111833159203100715021177801100806812420.656151233384013270454875214360284179342653366391045149.04%812569.14%229258050.34%32861553.33%29453355.16%603294694295633329
_Vs Conference158402100725418951021004433116330000028217210.7007210918101327045439821436028417485129161295502856.00%331263.64%129258050.34%32861553.33%29453355.16%603294694295633329

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3242L215123338487593426533663901
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3216104200151118
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
159231007150
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
177811008068
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1045149.04%812569.14%2
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
214360284173270454
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
29258050.34%32861553.33%29453355.16%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
603294694295633329


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 - 2025-10-31180Cougars3Admirals6WSommaire du match
27 - 2025-11-02197Spiders5Admirals1LSommaire du match
29 - 2025-11-04211Cabaret Lady Mary Ann1Admirals4WSommaire du match
31 - 2025-11-06224Admirals5Stars7LSommaire du match
33 - 2025-11-08242Admirals6Las Vegas4WSommaire du match
34 - 2025-11-09251Oceanics3Admirals5WSommaire du match
36 - 2025-11-11262Admirals9Monsters4WSommaire du match
38 - 2025-11-13272Admirals2Cougars3LXSommaire du match
40 - 2025-11-15284Admirals2Minnesota1WXSommaire du match
42 - 2025-11-17306Roadrunners7Admirals6LXSommaire du match
44 - 2025-11-19318Bruins2Admirals8WSommaire du match
45 - 2025-11-20329Senators3Admirals4WXSommaire du match
47 - 2025-11-22346Las Vegas2Admirals5WSommaire du match
51 - 2025-11-26374Comets2Admirals5WSommaire du match
53 - 2025-11-28384Monarchs4Admirals6WSommaire du match
55 - 2025-11-30403Admirals1Baby Hawks6LSommaire du match
56 - 2025-12-01409Admirals3Chiefs7LSommaire du match
58 - 2025-12-03424Roadrunners3Admirals5WSommaire du match
60 - 2025-12-05440Bears3Admirals5WSommaire du match
62 - 2025-12-07460Baby Hawks4Admirals1LSommaire du match
64 - 2025-12-09470Admirals6Manchots5WSommaire du match
66 - 2025-12-11482Admirals0Sound Tigers2LSommaire du match
68 - 2025-12-13495Admirals2Spiders4LSommaire du match
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
Assistance28,6609,964
Assistance PCT95.53%66.43%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-12 2575 - 85.83% 96,190$1,442,856$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
673,791$ 1,862,500$ 1,862,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,650$ 673,791$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,500,950$ 125 9,650$ 1,206,250$




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