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Admirals
GP: 14 | W: 5 | L: 7 | OTL: 2 | P: 12
GF: 34 | GA: 46 | PP%: 16.22% | PK%: 61.11%
DG: Simon Demèlo | Morale : 45 | Moyenne d’équipe : 63
Prochains matchs #229 vs Wranglers

Centre de jeu
Silver Knights
7-4-3, 17pts
4
3 Admirals
5-7-2, 12pts
Team Stats
W3SéquenceL3
4-2-1Fiche domicile1-6-0
3-2-2Fiche domicile4-1-2
4-3-3Derniers 10 matchs5-4-1
3.43Buts par match 2.43
3.21Buts contre par match 3.29
22.45%Pourcentage en avantage numérique16.22%
76.47%Pourcentage en désavantage numérique61.11%
Roadrunners
10-5-0, 20pts
5
1 Admirals
5-7-2, 12pts
Team Stats
W1SéquenceL3
3-3-0Fiche domicile1-6-0
7-2-0Fiche domicile4-1-2
5-5-0Derniers 10 matchs5-4-1
3.60Buts par match 2.43
3.00Buts contre par match 3.29
29.79%Pourcentage en avantage numérique16.22%
68.29%Pourcentage en désavantage numérique61.11%
Admirals
5-7-2, 12pts
2025-09-24
Wranglers
7-7-0, 14pts
Statistiques d’équipe
L3SéquenceW1
1-6-0Fiche domicile2-5-0
4-1-2Fiche visiteur5-2-0
5-4-110 derniers matchs6-4-0
2.43Buts par match 3.00
3.29Buts contre par match 3.00
16.22%Pourcentage en avantage numérique21.43%
61.11%Pourcentage en désavantage numérique71.15%
Admirals
5-7-2, 12pts
2025-09-26
Griffins
7-6-2, 16pts
Statistiques d’équipe
L3SéquenceL1
1-6-0Fiche domicile4-2-0
4-1-2Fiche visiteur3-4-2
5-4-110 derniers matchs5-5-0
2.43Buts par match 3.27
3.29Buts contre par match 3.27
16.22%Pourcentage en avantage numérique26.67%
61.11%Pourcentage en désavantage numérique74.42%
Thunderbirds
8-6-1, 17pts
2025-09-28
Admirals
5-7-2, 12pts
Statistiques d’équipe
L1SéquenceL3
3-3-1Fiche domicile1-6-0
5-3-0Fiche visiteur4-1-2
5-5-010 derniers matchs5-4-1
3.13Buts par match 2.43
3.33Buts contre par match 2.43
11.63%Pourcentage en avantage numérique16.22%
69.49%Pourcentage en désavantage numérique61.11%
Meneurs d'équipe
Buts
Lane Pederson
4
Passes
Emil Johansson
6
Points
Emil Johansson
8
Plus/Moins
Lane Pederson
3
Victoires
Christopher Gibson
5
Pourcentage d’arrêts
Christopher Gibson
0.903

Statistiques d’équipe
Buts pour
34
2.43 GFG
Tirs pour
421
30.07 Avg
Pourcentage en avantage numérique
16.2%
6 GF
Début de zone offensive
41.1%
Buts contre
46
3.29 GAA
Tirs contre
428
30.57 Avg
Pourcentage en désavantage numérique
61.1%%
14 GA
Début de la zone défensive
40.1%
Informations de l'équipe

Directeur généralSimon Demèlo
EntraîneurDon Hay
DivisionDivision Centrale
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2Matthew Phillips


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure19
Limite contact 46 / 56
Espoirs53


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
1Lane Pederson0X97.0073469075728279747372667566665258496702921,350,000$
2Liam O'Brien0X100.0083457375747076717566687166715238466503231,325,000$
3Nikolay Goldobin87XX100.0057439672716969686665666564735442466403031,000,000$
4Nikolai Prokhorkin0XX100.0077498369737275696465666864715934526403331,000,000$
5Ostap Safin0XX100.007658697273767668696869646055505450640272900,000$
6Phillip Digiuseppe0XX100.0060459870717282695966676865735834466403231,000,000$
7Jonathan Ang0X100.006147897266747071766869686056505446640282900,000$
8Tobias Rieder0XX100.0058459970707575696066666964686430466403331,000,000$
9Brendan Perlini0XX100.005945957075716869596665666371604246630303900,000$
10Matthew Phillips (A)0XXX100.006245887264727860757165636760505449620282900,000$
11Max Zimmer0XX100.005945937268737865636467656060495436620282700,000$
12Jere Innala0X100.006845937267687466616366696349474236610282900,000$
13Louis Crevier0X100.0070459173777876744573647755524866496702522,000,000$
14Emil Johansson0X100.0065458572687879764570657357665254496603031,300,000$
15Joel Nystrom (R)0X100.006445927567747774457365735945457036650241900,000$
16Marc Del Gaizo0X100.006347887369777872457167705952476250650261750,000$
17Tobias Bjornfot0X100.006245917270777570456963745664476649650252750,000$
18Stepan Falkovsky0X100.0071458372767677674569666855675450496502911,200,000$
Rayé
1Simon Stransky0XX100.006644897268697764646568695360515449620281800,000$
2Adam Marsh0XX100.007658598070646161615960596062566236600292500,000$
3Patrick Harper0X100.005945867262667160706666636651465436600282500,000$
4Corey Schueneman0X100.0059469973718074724571667666564742516603111,800,000$
5Nathan Knoepke0X100.006445907272696959455953645149465836590272500,000$
6Cole Candella0X100.005342887070676559455656665946455436580282500,000$
MOYENNE D’ÉQUIPE99.88654688727073746858676568616051514563
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
1Antoine Bibeau0100.007581808178788279808179515646526403211,200,500$
2Brandon Halverson0100.00797876858068767273769146504240610303725,000$
Rayé
1Christopher Gibson0100.007876758079808482838383525646436503311,000,500$
MOYENNE D’ÉQUIPE100.0077787782797581787980845054454563
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Don Hay7979789499995CAN712100,000$


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
1Emil JohanssonAdmirals (Nas)D14268-140155217149.52%1627619.78022832000127010%000000.5800000000
2Otto SomppiPredatorsC144482008314214309.52%121515.37011732000001055.59%28600000.7400000101
3Corey SchuenemanAdmirals (Nas)D11167220511258124.00%1327725.230111324000022000%000000.5000000010
4Liam O'BrienAdmirals (Nas)C14347-7100352529172610.34%122816.35112532000020055.30%26400000.6100000000
5Louis CrevierAdmirals (Nas)D1425701001316245138.33%1933624.001121029000125000%000000.4200000000
6Lane PedersonAdmirals (Nas)C144263408233782110.81%423817.03000000000251054.62%26000000.5001000002
7Marc Del GaizoAdmirals (Nas)D14156-275159143137.14%1122115.8301151100004000%000000.5400001100
8Ostap SafinAdmirals (Nas)LW/RW1442611552352261118.18%021315.28101232000000154.55%1100000.5600001100
9Tobias BjornfotAdmirals (Nas)D14156-36081218395.56%1827519.66112103200008000%000000.4400000000
10Nikolay GoldobinAdmirals (Nas)LW/RW14235300082612157.69%124317.382026320003250047.06%1700000.4111000000
11Nikolai ProkhorkinAdmirals (Nas)LW/RW14145112102211198155.26%023416.730226320000251054.55%2200000.4311200100
12Phillip DigiuseppeAdmirals (Nas)LW/RW14235-70018274217.41%021815.61011232000000037.50%1600000.4600000010
13Jonathan AngAdmirals (Nas)C14235-25513172911246.90%319914.21000000001250049.15%23600000.5000010001
14Brendan PerliniAdmirals (Nas)LW/RW14224-320711661912.50%017912.8300001000011029.41%1700000.4500000010
15Joel NystromAdmirals (Nas)D3033-260403110%75016.990000100001000%000001.1800000000
16Matthew PhillipsAdmirals (Nas)C/LW/RW14123-70016174135.88%118513.2200000000000062.50%1600000.3200000000
17Stepan FalkovskyAdmirals (Nas)D14033-414021107480%1225318.1000000000019000%000000.2400000000
18Simon StranskyAdmirals (Nas)LW/RW11011-240144205110%214813.4600000000020062.50%800000.1400000000
19Tobias RiederAdmirals (Nas)LW/RW1410122026252164.00%218413.2000000000000029.41%1700000.1100000001
20Max ZimmerAdmirals (Nas)LW/RW3000000000000%000.020000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne252336396-26103252152084211282927.84%111418016.59611177432800062174252.99%117000000.4623212435
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
1Christopher GibsonAdmirals (Nas)125520.9032.9367500333410011.0002120020
2Antoine BibeauAdmirals (Nas)40200.8604.0717700128600000212000
Statistiques d’équipe totales ou en moyenne165720.8953.17852004542700121412020


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
Adam MarshAdmirals (Nas)LW/RW291997-08-22USANo160 Lbs6 ft0NoNoN/ANoNo22026-04-29FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Antoine BibeauAdmirals (Nas)G321994-05-01CANNo216 Lbs6 ft3NoNoFree AgentNoNo12024-07-07FalseFalsePro & Farm1,200,500$0$0$No---------------------------Lien
Brandon HalversonAdmirals (Nas)G301996-03-29USANo235 Lbs6 ft5NoNoFree AgentNoNo32026-07-03FalseFalsePro & Farm725,000$0$0$No725,000$725,000$-------725,000$725,000$-------NoNo-------Lien
Brendan PerliniAdmirals (Nas)LW/RW301996-04-27ENGNo211 Lbs6 ft3NoNoFree AgentNoNo32026-07-17FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Christopher GibsonAdmirals (Nas)G331992-12-27FINNo217 Lbs6 ft2NoNoFree AgentNoNo12024-07-07FalseFalsePro & Farm1,000,500$0$0$No---------------------------Lien
Cole CandellaAdmirals (Nas)D281998-02-13CANNo195 Lbs6 ft2NoNoN/ANoNo22025-05-28FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Corey SchuenemanAdmirals (Nas)D311995-09-02USANo197 Lbs5 ft11NoNoFree Agent2025-02-01NoNo12025-07-03FalseFalsePro & Farm1,800,000$0$0$No---------------------------Lien
Emil JohanssonAdmirals (Nas)D301996-05-06SWENo189 Lbs5 ft11NoNoN/ANoNo32026-04-29FalseFalsePro & Farm1,300,000$0$0$No1,300,000$1,300,000$-------1,300,000$1,300,000$-------NoNo-------Lien
Jere InnalaAdmirals (Nas)C281998-03-17FINNo183 Lbs5 ft9NoNoProspectNoNo22025-06-02FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Joel NystromAdmirals (Nas)D242002-05-14SWEYes178 Lbs5 ft11NoNoFree AgentNoNo12026-05-07FalseFalsePro & Farm900,000$0$0$No---------900,000$900,000$----------------Lien
Jonathan AngAdmirals (Nas)C281998-01-31CANNo165 Lbs5 ft11NoNoN/ANoNo22026-04-29FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Lane PedersonAdmirals (Nas)C291997-08-04CANNo190 Lbs6 ft0NoNoN/ANoNo22026-04-29FalseFalsePro & Farm1,350,000$0$0$No1,350,000$--------1,350,000$--------No--------Lien
Liam O'BrienAdmirals (Nas)C321994-07-29CANNo215 Lbs6 ft1NoNoFree Agent2024-08-18NoNo32026-07-03FalseFalsePro & Farm1,325,000$0$0$No1,325,000$1,325,000$-------1,325,000$1,325,000$-------NoNo-------Lien
Louis CrevierAdmirals (Nas)D252001-05-04CANNo228 Lbs6 ft8NoNoFree AgentNoNo22025-05-28FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Lien
Marc Del GaizoAdmirals (Nas)D261999-10-11USANo188 Lbs5 ft11NoNoProspectNoNo12024-06-18FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Matthew PhillipsAdmirals (Nas)C/LW/RW281998-04-06CANNo165 Lbs5 ft8NoNoN/ANoNo22025-05-28FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Max ZimmerAdmirals (Nas)LW/RW281997-10-29USANo187 Lbs6 ft0NoNoN/ANoNo22026-04-29FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Nathan KnoepkeAdmirals (Nas)D271999-04-08USANo202 Lbs6 ft3NoNoN/ANoNo22026-04-29FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Nikolai ProkhorkinAdmirals (Nas)LW/RW331993-09-17RUSNo200 Lbs6 ft3NoNoFree AgentNoNo32026-07-17FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Nikolay GoldobinAdmirals (Nas)LW/RW301995-10-07RUSNo191 Lbs6 ft0NoNoFree AgentNoNo32026-07-22FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Ostap SafinAdmirals (Nas)LW/RW271999-02-11CZENo204 Lbs6 ft5NoNoN/ANoNo22026-04-29FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Patrick HarperAdmirals (Nas)C281998-07-29USANo150 Lbs5 ft7NoNoN/ANoNo22026-04-29FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Phillip DigiuseppeAdmirals (Nas)LW/RW321993-10-09CANNo193 Lbs6 ft0NoNoFree Agent2024-11-12NoNo32026-07-22FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Simon StranskyAdmirals (Nas)LW/RW281997-12-21CZENo189 Lbs5 ft11NoNoN/ANoNo12025-05-28FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Stepan FalkovskyAdmirals (Nas)D291996-12-18BLRNo225 Lbs6 ft7NoNoN/ANoNo12024-04-29FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Tobias BjornfotAdmirals (Nas)D252001-04-06SWENo200 Lbs6 ft0NoNoProspectNoNo22025-06-02FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Tobias RiederAdmirals (Nas)LW/RW331993-01-10DEUNo189 Lbs5 ft10NoNoFree AgentNoNo32026-07-17FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2729.00195 Lbs6 ft12.04974,111$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tobias RiederOstap Safin25014
2Nikolay GoldobinLane PedersonNikolai Prokhorkin25014
3Matthew PhillipsLiam O'BrienPhillip Digiuseppe25014
4Brendan PerliniJonathan AngLane Pederson25014
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Emil JohanssonLouis Crevier25023
2Joel NystromMarc Del Gaizo25023
3Tobias BjornfotStepan Falkovsky25122
4Louis CrevierEmil Johansson25122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nikolai ProkhorkinNikolay Goldobin50005
2Phillip DigiuseppeLiam O'BrienOstap Safin50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marc Del GaizoLouis Crevier50023
2Emil JohanssonTobias Bjornfot50023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Lane PedersonNikolai Prokhorkin50122
2Jonathan AngNikolay Goldobin50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Louis CrevierEmil Johansson50122
2Tobias BjornfotStepan Falkovsky50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Lane Pederson50122Emil JohanssonMarc Del Gaizo50122
2Liam O'Brien50122Louis CrevierTobias Bjornfot50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Lane PedersonOstap Safin50122
2Liam O'BrienTobias Rieder50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marc Del GaizoEmil Johansson50122
2Tobias BjornfotLouis Crevier50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nikolay GoldobinLane PedersonOstap SafinEmil JohanssonStepan Falkovsky
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Phillip DigiuseppeLiam O'BrienBrendan PerliniLouis CrevierEmil Johansson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Liam O'Brien, Nikolay Goldobin, Phillip DigiuseppeOstap Safin, Brendan PerliniLane Pederson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Marc Del Gaizo, Tobias Bjornfot, Louis CrevierMarc Del GaizoLouis Crevier, Emil Johansson
Tirs de pénalité
Lane Pederson, Nikolay Goldobin, Nikolai Prokhorkin, Phillip Digiuseppe, Tobias Rieder
Gardien
#1 : Antoine Bibeau, #2 : Brandon Halverson


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
1Barracuda2110000057-21010000006-61100000051420.5005101500136133421461271381358131234200.00%6350.00%025947454.64%23546350.76%12621758.06%35024331910018395
2Canucks10001000321000000000001000100032121.00035800136133331461271381334910135120.00%5180.00%025947454.64%23546350.76%12621758.06%35024331910018395
3Condors1010000035-21010000035-20000000000000.00036910136133231461271381328122163133.33%10100.00%025947454.64%23546350.76%12621758.06%35024331910018395
4Icehogs1000010023-1000000000001000010023-110.5002460013613342146127138133062144125.00%10100.00%025947454.64%23546350.76%12621758.06%35024331910018395
5Iowa Wild1000010023-1000000000001000010023-110.5002460013613320146127138133791118300.00%3166.67%025947454.64%23546350.76%12621758.06%35024331910018395
6Reign10000010431000000000001000001043121.000461000136133511461271381342511123133.33%3233.33%025947454.64%23546350.76%12621758.06%35024331910018395
7Roadrunners41300000915-62020000049-52110000056-120.25091726001361331231461271381313032366310220.00%12558.33%025947454.64%23546350.76%12621758.06%35024331910018395
8Silver Knights21100000651211000006510000000000020.5006111700136133591461271381341171231600.00%4250.00%025947454.64%23546350.76%12621758.06%35024331910018395
9StarsF1010000003-31010000003-30000000000000.000000001361332814612713813288714100.00%10100.00%025947454.64%23546350.76%12621758.06%35024331910018395
Total1437012103446-12716000001328-157210121021183120.429346397101361334211461271381342811110321537616.22%361461.11%025947454.64%23546350.76%12621758.06%35024331910018395
_Since Last GM Reset1437012103446-12716000001328-157210121021183120.429346397101361334211461271381342811110321537616.22%361461.11%025947454.64%23546350.76%12621758.06%35024331910018395
_Vs Conference1437012103446-12716000001328-157210121021183120.429346397101361334211461271381342811110321537616.22%361461.11%025947454.64%23546350.76%12621758.06%35024331910018395
_Vs Division700001001324-1130000000412-840000100912-310.0711325380013613321314612713813225555610918316.67%17664.71%025947454.64%23546350.76%12621758.06%35024331910018395

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1412L334639742142811110321510
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
143712103446
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
71600001328
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
72112102118
Derniers 10 matchs
WLOTWOTL SOWSOL
341110
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
37616.22%361461.11%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
14612713813136133
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
25947454.64%23546350.76%12621758.06%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
35024331910018395


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 - 2025-08-2825Roadrunners4Admirals3LSommaire du match
5 - 2025-08-3038Admirals1Roadrunners5LSommaire du match
6 - 2025-08-3150Barracuda6Admirals0LSommaire du match
7 - 2025-09-0159Admirals2Iowa Wild3LXSommaire du match
9 - 2025-09-0375Admirals4Roadrunners1WSommaire du match
11 - 2025-09-0588Admirals2Icehogs3LXSommaire du match
13 - 2025-09-07104StarsF3Admirals0LSommaire du match
15 - 2025-09-09123Silver Knights1Admirals3WSommaire du match
17 - 2025-09-11137Admirals5Barracuda1WSommaire du match
19 - 2025-09-13151Admirals4Reign3WXXSommaire du match
21 - 2025-09-15162Admirals3Canucks2WXSommaire du match
22 - 2025-09-16172Condors5Admirals3LSommaire du match
26 - 2025-09-20195Silver Knights4Admirals3LSommaire du match
28 - 2025-09-22218Roadrunners5Admirals1LSommaire du match
30 - 2025-09-24229Admirals-Wranglers-
32 - 2025-09-26244Admirals-Griffins-
34 - 2025-09-28260Thunderbirds-Admirals-
36 - 2025-09-30270Admirals-Thunderbirds-
38 - 2025-10-02290Admirals-Rocket-
40 - 2025-10-04298Wolf Pack-Admirals-
43 - 2025-10-07322Admirals-Thunderbirds-
45 - 2025-10-09331Thunderbirds-Admirals-
48 - 2025-10-12354Griffins-Admirals-
50 - 2025-10-14369Admirals-Crunch-
52 - 2025-10-16385Reign-Admirals-
54 - 2025-10-18403Admirals-Silver Knights-
56 - 2025-10-20416Griffins-Admirals-
58 - 2025-10-22433Admirals-Marlies-
60 - 2025-10-24449Admirals-Wranglers-
62 - 2025-10-26457BruinsF-Admirals-
65 - 2025-10-29480Moose-Admirals-
67 - 2025-10-31494Admirals-Islanders-
69 - 2025-11-02514Iowa Wild-Admirals-
71 - 2025-11-04526Admirals-Wolves-
72 - 2025-11-05541Admirals-Canucks-
74 - 2025-11-07554Monsters-Admirals-
77 - 2025-11-10574Comets-Admirals-
79 - 2025-11-12589Admirals-Islanders-
81 - 2025-11-14607Barracuda-Admirals-
84 - 2025-11-17628Admirals-Roadrunners-
86 - 2025-11-19641Admirals-Gulls-
87 - 2025-11-20651Bears-Admirals-
90 - 2025-11-23669Admirals-SenatorsF-
91 - 2025-11-24680Reign-Admirals-
94 - 2025-11-27696Admirals-Eagles-
96 - 2025-11-29710SenatorsF-Admirals-
98 - 2025-12-01730Admirals-Roadrunners-
100 - 2025-12-03738Admirals-Barracuda-
101 - 2025-12-04749Icehogs-Admirals-
104 - 2025-12-07772Silver Knights-Admirals-
106 - 2025-12-09782Admirals-StarsF-
109 - 2025-12-12803Admirals-Phantoms-
110 - 2025-12-13812Roadrunners-Admirals-
113 - 2025-12-16835Eagles-Admirals-
115 - 2025-12-18853Admirals-Checkers-
118 - 2025-12-21869Condors-Admirals-
120 - 2025-12-23884Admirals-Silver Knights-
122 - 2025-12-25902Americans-Admirals-
124 - 2025-12-27918Admirals-Eagles-
126 - 2025-12-29934Wranglers-Admirals-
129 - 2026-01-01952Admirals-Firebirds-
131 - 2026-01-03970Admirals-Gulls-
132 - 2026-01-04974Icehogs-Admirals-
135 - 2026-01-07999PenguinsF-Admirals-
137 - 2026-01-091015Admirals-Icehogs-
140 - 2026-01-121034Admirals-Griffins-
141 - 2026-01-131041Iowa Wild-Admirals-
144 - 2026-01-161063Eagles-Admirals-
146 - 2026-01-181076Admirals-Monsters-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2026-01-211098Wranglers-Admirals-
152 - 2026-01-241124Gulls-Admirals-
155 - 2026-01-271139Admirals-Monsters-
157 - 2026-01-291156Monsters-Admirals-
159 - 2026-01-311172Admirals-Reign-
161 - 2026-02-021186StarsF-Admirals-
165 - 2026-02-061213StarsF-Admirals-
167 - 2026-02-081222Admirals-StarsF-
171 - 2026-02-121247Canucks-Admirals-
174 - 2026-02-151273Canucks-Admirals-
176 - 2026-02-171289Admirals-Iowa Wild-
177 - 2026-02-181295Admirals-Condors-
179 - 2026-02-201311Gulls-Admirals-
182 - 2026-02-231325Admirals-Condors-
183 - 2026-02-241343Phantoms-Admirals-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4530
Assistance14,0007,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
35 3000 - 100.00% 178,800$1,251,600$3000125

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
444,753$ 2,630,100$ 2,630,100$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 428,978$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
6,258,000$ 155 14,838$ 2,299,890$




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