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Admirals
GP: 4 | W: 2 | L: 2 | OTL: 0 | P: 4
GF: 17 | GA: 7 | PP%: 10.00% | PK%: 66.67%
DG: Eric Sabourin | Morale : 40 | Moyenne d’équipe : 63
Prochains matchs #71 vs Senators

Centre de jeu
Admirals
2-2-0, 4pts
3
1 Marlies
3-2-0, 6pts
Team Stats
W2SéquenceW1
0-2-0Fiche domicile2-2-0
2-0-0Fiche domicile1-0-0
2-2-0Derniers 10 matchs3-2-0
4.25Buts par match 4.40
1.75Buts contre par match 3.00
10.00%Pourcentage en avantage numérique33.33%
66.67%Pourcentage en désavantage numérique72.73%
Admirals
2-2-0, 4pts
10
0 Rocket
0-4-0, 0pts
Team Stats
W2SéquenceL4
0-2-0Fiche domicile0-2-0
2-0-0Fiche domicile0-2-0
2-2-0Derniers 10 matchs0-4-0
4.25Buts par match 1.00
1.75Buts contre par match 11.25
10.00%Pourcentage en avantage numérique0.00%
66.67%Pourcentage en désavantage numérique33.33%
Admirals
2-2-0, 4pts
2026-10-10
Senators
2-1-1, 5pts
Statistiques d’équipe
W2SéquenceL1
0-2-0Fiche domicile0-1-0
2-0-0Fiche visiteur2-0-1
2-2-010 derniers matchs2-1-1
4.25Buts par match 3.50
1.75Buts contre par match 3.50
10.00%Pourcentage en avantage numérique27.78%
66.67%Pourcentage en désavantage numérique66.67%
Silver Knights
3-1-1, 7pts
2026-10-13
Admirals
2-2-0, 4pts
Statistiques d’équipe
L1SéquenceW2
1-1-1Fiche domicile0-2-0
2-0-0Fiche visiteur2-0-0
3-1-110 derniers matchs2-2-0
3.60Buts par match 4.25
2.60Buts contre par match 4.25
27.27%Pourcentage en avantage numérique10.00%
75.00%Pourcentage en désavantage numérique66.67%
Barracuda
2-1-1, 5pts
2026-10-15
Admirals
2-2-0, 4pts
Statistiques d’équipe
W1SéquenceW2
1-0-1Fiche domicile0-2-0
1-1-0Fiche visiteur2-0-0
2-1-110 derniers matchs2-2-0
4.75Buts par match 4.25
3.50Buts contre par match 4.25
25.00%Pourcentage en avantage numérique10.00%
71.43%Pourcentage en désavantage numérique66.67%
Meneurs d'équipe
Logan ShawButs
Logan Shaw
4
Oliver WahlstromPasses
Oliver Wahlstrom
4
Logan ShawPoints
Logan Shaw
7
Logan ShawPlus/Moins
Logan Shaw
6
Matt D. MurrayVictoires
Matt D. Murray
2
Matt D. MurrayPourcentage d’arrêts
Matt D. Murray
0.933

Statistiques d’équipe
Buts pour
17
4.25 GFG
Tirs pour
191
47.75 Avg
Pourcentage en avantage numérique
10.0%
1 GF
Début de zone offensive
46.2%
Buts contre
7
1.75 GAA
Tirs contre
105
26.25 Avg
Pourcentage en désavantage numérique
66.7%%
2 GA
Début de la zone défensive
35.7%
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 Pro22
Équipe Mineure18
Limite contact 40 / 70
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
1Logan ShawX100.007641836685828663676460656174790406603411,499,999$
2Cameron HughesXX100.00653975667281866374686462657072040650303950,000$
3Rodrigo AbolsX100.00764389658878816379626164607172040650312925,000$
4Oliver WahlstromXX100.00724176668187836462606863676668040650272925,000$
5Cameron HebigX100.00603885646989856365626661636971040640301925,000$
6Liam O'BrienXX100.00887962648074726359606165577372040640331925,000$
7Matthew PhillipsX100.006035946560848664716860616268700406402921,499,000$
8Travis BoydXX100.006236926572797864686360626574750406403311,000,000$
9Andre LeeX100.00774279628878865755596062586668040630271925,111$
10Mason ShawXX100.00586967626789875864615963576870040620282925,000$
11Parker FordX100.00663781596682815860575964566668040610271925,000$
12Jackson CatesXXX100.00633890557279775357545658526971040600293925,000$
13Kyle CapobiancoX100.00704174658281796230685961526971040640303950,000$
14Jake ChristiansenX100.00673895647479806530665261496769040630273925,000$
15Keaton MiddletonX100.00856374629976845630585263466870040630293925,000$
16Trevor CarrickX100.00664172637581845930645658497277040630333925,000$
17Domenick FensoreX100.00643882616492845930625765496567040620251925,000$
18Jacob Truscott (R)X100.00623790557165635430585056456466040580253925,000$
Rayé
1Samuel BittenXX100.00716359558065795451525356546668040580273925,000$
MOYENNE D’ÉQUIPE100.0069458062768081605361596256697104063
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. Murray100.0080888377797880797880796881040690291925,111$
2James Reimer100.0076787280757476757476758592040670392925,000$
Rayé
1Hunter Shepard100.00758278777473757473757471850406603121,204,000$
MOYENNE D’ÉQUIPE100.007783787876757776757776758604067
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Karl Taylor74706862857966CAN551500,000$


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
1Logan ShawAdmirals (NSH)C443760012101951721.05%29022.6500038000050053.77%10600001.5500000021
2Cameron HughesAdmirals (NSH)C/LW43365004121691418.75%19824.75011011000050063.64%3300011.2100000100
3Oliver WahlstromAdmirals (NSH)LW/RW414560069176175.88%18421.2200028000000020.00%500001.1800000000
4Cameron HebigAdmirals (NSH)RW413440002183145.56%26115.310000000000000%300001.3100000000
5Kyle CapobiancoAdmirals (NSH)D41346001361316.67%57318.350000000005000%000001.0900000000
6Trevor CarrickAdmirals (NSH)D4044540515040%17619.1301121000000000%000001.0500000000
7Parker FordAdmirals (NSH)RW431410026194715.79%08220.73101211000001068.75%1600000.9700000010
8Liam O'BrienAdmirals (NSH)C/LW412340014023564.35%06015.110000000000000%300000.9900000001
9Mason ShawAdmirals (NSH)C/LW41234005190211.11%0338.28000000000100100.00%200001.8100000000
10Rodrigo AbolsAdmirals (NSH)C41123406711279.09%38621.5000000000011071.11%4500000.4700000000
11Domenick FensoreAdmirals (NSH)D4022400783360%48822.220001900003000%000000.4500000000
12Keaton MiddletonAdmirals (NSH)D4011620605020%16817.240000000000000%000000.2900000000
13Travis BoydAdmirals (NSH)C/RW4101-10031314367.14%16215.6200000000010056.25%6400000.3200000000
14Andre LeeAdmirals (NSH)LW401114012717460%08320.9600018000030050.00%5600000.2400000000
15Jake ChristiansenAdmirals (NSH)D4000000464240%58922.440003900004000%00000000000000
Statistiques d’équipe totales ou en moyenne60173047541408785186471159.14%26114119.0312314760000332056.46%33300010.8200000132
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)42200.9331.762390171050000040100
Statistiques d’équipe totales ou en moyenne42200.9331.76239017105000040100


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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
Andre LeeAdmirals (NSH)LW272000-07-26SWENo210 Lbs193 CMNoNoFree AgentNoNo12025-07-13FalseFalsePro & Farm925,111$0$0$No---------------------------Lien / Lien NHL
Cameron HebigAdmirals (NSH)RW301997-01-21CANNo184 Lbs180 CMNoNoFree AgentYesYes12025-07-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Cameron HughesAdmirals (NSH)C/LW301996-10-09CANNo190 Lbs183 CMNoNoTrade2025-07-22YesYes32024-07-22FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien / Lien NHL
Domenick FensoreAdmirals (NSH)D252001-09-07USANo175 Lbs175 CMNoNoProspectNoNo12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Hunter Shepard (contrat à 1 volet)Admirals (NSH)G311995-11-07USANo225 Lbs180 CMNoNoTrade2026-08-09YesYes22025-05-29FalseFalsePro & Farm1,204,000$1,204,000$1,132,411$No1,204,000$--------1,204,000$--------No--------Lien / Lien NHL
Jackson CatesAdmirals (NSH)C/LW/RW291997-09-26USANo190 Lbs183 CMNoNoFree AgentYesYes32026-07-25FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Jacob TruscottAdmirals (NSH)D252002-04-12USAYes170 Lbs185 CMNoNoTrade2026-09-06NoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Jake ChristiansenAdmirals (NSH)D271999-09-12CANNo199 Lbs183 CMNoNoTrade2026-09-06NoNo32024-07-09FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
James ReimerAdmirals (NSH)G391988-03-15CANNo200 Lbs188 CMNoNoFree Agent2025-05-24YesYes22026-07-18FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Keaton Middleton (contrat à 1 volet)Admirals (NSH)D291998-02-10CANNo240 Lbs198 CMNoNoFree AgentYesYes32026-08-01FalseFalsePro & Farm925,000$925,000$870,000$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Kyle CapobiancoAdmirals (NSH)D301997-08-13CANNo194 Lbs191 CMNoNoTrade2025-07-22YesYes32024-07-22FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien / Lien NHL
Liam O'BrienAdmirals (NSH)C/LW331994-07-29CANNo215 Lbs185 CMNoNoFree Agent2024-02-27YesYes12025-07-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Logan ShawAdmirals (NSH)C341992-10-05CANNo208 Lbs191 CMNoNoTrade2026-08-09YesYes12024-07-22FalseFalsePro & Farm1,499,999$0$0$No---------------------------Lien / Lien NHL
Mason ShawAdmirals (NSH)C/LW281998-11-03CANNo184 Lbs178 CMNoNoTrade2026-08-09NoNo22025-07-13FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Matt D. MurrayAdmirals (NSH)G291998-02-02CANNo196 Lbs185 CMNoNoFree AgentYesYes12025-07-13FalseFalsePro & Farm925,111$0$0$No---------------------------Lien / Lien NHL
Matthew PhillipsAdmirals (NSH)C291998-04-06CANNo160 Lbs173 CMNoNoTrade2026-09-06YesYes2FalseFalsePro & Farm1,499,000$0$0$No1,499,000$--------1,499,000$--------No--------Lien / Lien NHL
Oliver Wahlstrom (contrat à 1 volet)Admirals (NSH)LW/RW272000-06-13USANo205 Lbs188 CMNoNoTrade2026-08-09YesYes22025-07-13FalseFalsePro & Farm925,000$925,000$870,000$No925,000$--------925,000$--------No--------Lien / Lien NHL
Parker FordAdmirals (NSH)RW272000-07-20USANo181 Lbs175 CMNoNoProspectNoNo12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Rodrigo AbolsAdmirals (NSH)C311996-01-05LVANo206 Lbs193 CMNoNoTrade2025-07-22YesYes22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Samuel BittenAdmirals (NSH)C/LW272000-03-21CANNo200 Lbs188 CMNoNoAssign ManuallyNoNo32024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Travis BoydAdmirals (NSH)C/RW331993-09-14USANo190 Lbs183 CMNoNoTrade2026-08-01YesYes12024-07-17FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Trevor CarrickAdmirals (NSH)D331994-07-04CANNo171 Lbs188 CMNoNoFree AgentYesYes32026-08-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2229.68195 Lbs185 CM2.00995,601$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cameron HughesLogan ShawOliver Wahlstrom40122
2Liam O'BrienRodrigo AbolsCameron Hebig30122
3Andre LeeTravis BoydParker Ford20122
4Mason ShawAndre LeeParker Ford10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Christiansen35122
2Kyle CapobiancoKeaton Middleton30122
3Trevor CarrickDomenick Fensore30122
4Domenick FensoreJake Christiansen5122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Logan ShawAndre LeeOliver Wahlstrom60122
2Parker FordCameron Hughes40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake ChristiansenDomenick Fensore60122
2Trevor Carrick40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Cameron HughesLogan Shaw60122
2Andre LeeRodrigo Abols40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Domenick FensoreJake Christiansen60122
2Kyle Capobianco40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Oliver Wahlstrom60122Domenick Fensore60122
2Liam O'Brien40122Jake ChristiansenKyle Capobianco40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Andre LeeCameron Hughes60122
2Logan ShawOliver Wahlstrom40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Christiansen60122
2Keaton MiddletonDomenick Fensore40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cameron HughesLogan ShawOliver WahlstromTrevor Carrick
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cameron HughesLogan ShawOliver WahlstromTrevor Carrick
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cameron Hughes, Travis Boyd, Andre LeeCameron Hughes, Cameron HebigAndre Lee
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Trevor Carrick, Domenick Fensore, Keaton MiddletonDomenick FensoreDomenick Fensore, Jake Christiansen
Tirs de pénalité
Travis Boyd, Cameron Hebig, Andre Lee, Mason Shaw, Parker Ford
Gardien
#1 : Matt D. Murray, #2 : James Reimer


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
1Marlies11000000312000000000001100000031221.00036900104303269626003292182150.00%10100.00%09015458.44%6411953.78%346056.67%1188873234827
2Rocket110000001001000000000000110000001001021.0001019290110430916962600104229100.00%10100.00%09015458.44%6411953.78%346056.67%1188873234827
3Stars1010000012-11010000012-10000000000000.0001230010430346962600336621300.00%3166.67%09015458.44%6411953.78%346056.67%1188873234827
4Wild1010000034-11010000034-10000000000000.00034700104303469626003010419400.00%110.00%09015458.44%6411953.78%346056.67%1188873234827
Total42200000177102020000046-2220000001311240.5001731480110430191696260010529148710110.00%6266.67%09015458.44%6411953.78%346056.67%1188873234827
_Since Last GM Reset42200000177102020000046-2220000001311240.5001731480110430191696260010529148710110.00%6266.67%09015458.44%6411953.78%346056.67%1188873234827
_Vs Conference2020000046-22020000046-20000000000000.0004610001043068696260063161040700.00%4250.00%09015458.44%6411953.78%346056.67%1188873234827
_Vs Division2020000046-22020000046-20000000000000.0004610001043068696260063161040700.00%4250.00%09015458.44%6411953.78%346056.67%1188873234827

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
44W217314819110529148701
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4220000177
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
202000046
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2200000131
Derniers 10 matchs
WLOTWOTL SOWSOL
220000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
10110.00%6266.67%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
696260010430
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
9015458.44%6411953.78%346056.67%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1188873234827


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 - 2026-10-0114Wild4Admirals3LSommaire du match
5 - 2026-10-0322Stars2Admirals1LSommaire du match
8 - 2026-10-0651Admirals3Marlies1WSommaire du match
10 - 2026-10-0861Admirals10Rocket0WSommaire du match
12 - 2026-10-1071Admirals-Senators-
15 - 2026-10-1391Silver Knights-Admirals-
17 - 2026-10-15112Barracuda-Admirals-
19 - 2026-10-17128Thunderbirds-Admirals-
24 - 2026-10-22157Admirals-Bruins-
26 - 2026-10-24179Admirals-Penguins-
27 - 2026-10-25181Eagles-Admirals-
29 - 2026-10-27190Sound Tigers-Admirals-
31 - 2026-10-29203Bears-Admirals-
33 - 2026-10-31220Crunch-Admirals-
36 - 2026-11-03237Wolves-Admirals-
38 - 2026-11-05251Admirals-Eagles-
40 - 2026-11-07270Thunderbirds-Admirals-
43 - 2026-11-10288Admirals-Reign-
44 - 2026-11-11297Admirals-Gulls-
46 - 2026-11-13310Admirals-Silver Knights-
48 - 2026-11-15330Admirals-Barracuda-
50 - 2026-11-17343Admirals-Wild-
53 - 2026-11-20370Penguins-Admirals-
57 - 2026-11-24398Admirals-Stars-
58 - 2026-11-25411Roadrunners-Admirals-
59 - 2026-11-26416Admirals-Griffins-
61 - 2026-11-28435Senators-Admirals-
64 - 2026-12-01450IceHogs-Admirals-
66 - 2026-12-03464Monsters-Admirals-
67 - 2026-12-04477Admirals-Thunderbirds-
69 - 2026-12-06492Admirals-Heat-
71 - 2026-12-08506Admirals-Canucks-
73 - 2026-12-10516Admirals-Firebirds-
76 - 2026-12-13546Firebirds-Admirals-
79 - 2026-12-16564Admirals-Wolf Pack-
81 - 2026-12-18584Admirals-Comets-
83 - 2026-12-20596Moose-Admirals-
84 - 2026-12-21601Griffins-Admirals-
86 - 2026-12-23620Admirals-Checkers-
87 - 2026-12-24626Admirals-Crunch-
90 - 2026-12-27650Checkers-Admirals-
91 - 2026-12-28664Admirals-Wolves-
94 - 2026-12-31686Condors-Admirals-
96 - 2027-01-02698Admirals-Moose-
98 - 2027-01-04709Admirals-Wild-
99 - 2027-01-05722Admirals-Eagles-
101 - 2027-01-07732Phantoms-Admirals-
103 - 2027-01-09750Rocket-Admirals-
105 - 2027-01-11762Admirals-Americans-
107 - 2027-01-13780Admirals-Sound Tigers-
109 - 2027-01-15793Canucks-Admirals-
110 - 2027-01-16800Admirals-Phantoms-
112 - 2027-01-18821Reign-Admirals-
115 - 2027-01-21835Silver Knights-Admirals-
117 - 2027-01-23856Admirals-Barracuda-
119 - 2027-01-25865Admirals-Gulls-
120 - 2027-01-26880Admirals-Roadrunners-
122 - 2027-01-28885Admirals-Roadrunners-
129 - 2027-02-04912Gulls-Admirals-
132 - 2027-02-07939Comets-Admirals-
134 - 2027-02-09954Marlies-Admirals-
136 - 2027-02-11969Admirals-Monsters-
137 - 2027-02-12980Admirals-Bears-
139 - 2027-02-14992Moose-Admirals-
141 - 2027-02-161009Condors-Admirals-
143 - 2027-02-181028Reign-Admirals-
146 - 2027-02-211045Eagles-Admirals-
148 - 2027-02-231062Roadrunners-Admirals-
150 - 2027-02-251078Wild-Admirals-
153 - 2027-02-281098Admirals-Thunderbirds-
155 - 2027-03-021115Admirals-Condors-
157 - 2027-03-041126Admirals-Moose-
159 - 2027-03-061145Admirals-Heat-
161 - 2027-03-081156Admirals-Canucks-
164 - 2027-03-111175Bruins-Admirals-
167 - 2027-03-141197Wolf Pack-Admirals-
170 - 2027-03-171224Admirals-IceHogs-
171 - 2027-03-181231Admirals-Stars-
174 - 2027-03-211258Americans-Admirals-
176 - 2027-03-231265IceHogs-Admirals-
178 - 2027-03-251282Heat-Admirals-
181 - 2027-03-281308Firebirds-Admirals-
183 - 2027-03-301323Admirals-IceHogs-
185 - 2027-04-011336Stars-Admirals-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets3528
Assistance4,5003,000
Assistance PCT75.00%75.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 3750 - 75.00% 176,295$352,590$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
141,801$ 1,884,922$ 1,884,922$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 112,079$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
6,875,505$ 174 12,891$ 2,243,034$




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