Essayer le nouveau site
Veuillez faire pivoter votre appareil en mode paysage pour une meilleure expérience.
Connexion

Admirals
GP: 22 | W: 8 | L: 11 | OTL: 3 | P: 19
GF: 49 | GA: 66 | PP%: 17.54% | PK%: 72.58%
DG: Simon Demèlo | Morale : 43 | Moyenne d’équipe : 63
Prochains matchs #354 vs Griffins

Centre de jeu
Admirals
8-11-3, 19pts
4
1 Thunderbirds
11-11-1, 23pts
Team Stats
W2SéquenceSOW1
3-7-0Fiche domicile5-5-1
5-4-3Fiche domicile6-6-0
3-6-1Derniers 10 matchs4-6-0
2.23Buts par match 3.00
3.00Buts contre par match 3.43
17.54%Pourcentage en avantage numérique14.93%
72.58%Pourcentage en désavantage numérique71.28%
Thunderbirds
11-11-1, 23pts
2
4 Admirals
8-11-3, 19pts
Team Stats
SOW1SéquenceW2
5-5-1Fiche domicile3-7-0
6-6-0Fiche domicile5-4-3
4-6-0Derniers 10 matchs3-6-1
3.00Buts par match 2.23
3.43Buts contre par match 3.00
14.93%Pourcentage en avantage numérique17.54%
71.28%Pourcentage en désavantage numérique72.58%
Griffins
14-6-3, 31pts
2025-10-12
Admirals
8-11-3, 19pts
Statistiques d’équipe
SOL1SéquenceW2
8-2-0Fiche domicile3-7-0
6-4-3Fiche visiteur5-4-3
8-1-110 derniers matchs3-6-1
3.43Buts par match 2.23
3.00Buts contre par match 2.23
22.22%Pourcentage en avantage numérique17.54%
73.68%Pourcentage en désavantage numérique72.58%
Admirals
8-11-3, 19pts
2025-10-14
Crunch
11-9-0, 22pts
Statistiques d’équipe
W2SéquenceL1
3-7-0Fiche domicile7-4-0
5-4-3Fiche visiteur4-5-0
3-6-110 derniers matchs7-3-0
2.23Buts par match 3.95
3.00Buts contre par match 3.95
17.54%Pourcentage en avantage numérique33.33%
72.58%Pourcentage en désavantage numérique84.44%
Reign
5-11-6, 16pts
2025-10-16
Admirals
8-11-3, 19pts
Statistiques d’équipe
L9SéquenceW2
0-7-5Fiche domicile3-7-0
5-4-1Fiche visiteur5-4-3
1-9-010 derniers matchs3-6-1
3.36Buts par match 2.23
4.23Buts contre par match 2.23
18.46%Pourcentage en avantage numérique17.54%
70.13%Pourcentage en désavantage numérique72.58%
Meneurs d'équipe
Buts
Ostap Safin
7
Passes
Louis Crevier
7
Points
Lane Pederson
11
Plus/Moins
Otto Somppi
3
Victoires
Christopher Gibson
8
Pourcentage d’arrêts
Christopher Gibson
0.913

Statistiques d’équipe
Buts pour
49
2.23 GFG
Tirs pour
614
27.91 Avg
Pourcentage en avantage numérique
17.5%
10 GF
Début de zone offensive
40.2%
Buts contre
66
3.00 GAA
Tirs contre
691
31.41 Avg
Pourcentage en désavantage numérique
72.6%%
17 GA
Début de la zone défensive
42.1%
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 Pro28
Équipe Mineure18
Limite Contrat46 / 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 Pederson0X100.0073469075728279747372667566665258496702921,350,000$
2Nikolay Goldobin87XX100.0057439672716969686665666564735442456403131,000,000$
3Nikolai Prokhorkin0XX100.0077498369737275696465666864715934516403331,000,000$
4Ostap Safin0XX100.007658697273767668696869646055505449640272900,000$
5Phillip Digiuseppe0XX100.0060459870717282695966676865735834456403331,000,000$
6Jonathan Ang0X100.006147897266747071766869686056505445640282900,000$
7Tobias Rieder0XX100.0058459970707575696066666964686430456403331,000,000$
8Brendan Perlini0XX100.005945957075716869596665666371604245630303900,000$
9Simon Stransky0XX100.006644897268697764646568695360515446620281800,000$
10Matthew Phillips (A)0XXX100.006245887264727860757165636760505448620282900,000$
11Max Zimmer0XX100.005945937268737865636467656060495436620282700,000$
12Louis Crevier0X100.0070459173777876744573647755524866486702522,000,000$
13Corey Schueneman0X100.0059469973718074724571667666564742486603111,800,000$
14Joel Nystrom (R)0X100.006445927567747774457365735945457036650241900,000$
15Marc Del Gaizo0X100.006347887369777872457167705952476249650271750,000$
16Tobias Bjornfot0X100.006245917270777570456963745664476648650252750,000$
17Stepan Falkovsky0X100.0071458372767677674569666855675450486502911,200,000$
Rayé
1Otto Somppi0X100.0065458872707378757672707666595154486602821,200,000$
2Liam O'Brien0X95.0083457375747076717566687166715238456503231,325,000$
3Jere Innala0X100.006845937267687466616366696349474230610282900,000$
4Adam Marsh0XX100.007658598070646161615960596062566228600292500,000$
5Patrick Harper0X100.005945867262667160706666636651465428600282500,000$
6Casey Fitzgerald0X100.007545787265716765456961686055505452630291900,000$
7Nathan Knoepke0X100.006445907272696959455953645149465828590272500,000$
8Cole Candella0X100.005342887070676559455656665946455428580282500,000$
MOYENNE D’ÉQUIPE99.80664688727073746859676569616051514363
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
1Christopher Gibson099.007876758079808482838383525646346503311,000,500$
2Antoine Bibeau0100.007581808178788279808179515646546403211,200,500$
Rayé
1Brandon Halverson0100.00797876858068767273769146504236610303725,000$
MOYENNE D’ÉQUIPE99.6777787782797581787980845054454163
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
1Lane PedersonAdmirals (Nas)C195611040104346143210.87%433617.700331100000301054.17%38400000.6501000012
2Liam O'BrienAdmirals (Nas)C225611-8220584144214211.36%339718.051129490001162054.07%41800000.5501000100
3Ostap SafinAdmirals (Nas)LW/RW2273100175321237122718.92%035516.142024491011170163.16%1900000.5600001201
4Otto SomppiAdmirals (Nas)C17551032093549173410.20%128216.62011837000051154.22%33200000.7101000101
5Louis CrevierAdmirals (Nas)D22279-52002530349215.88%3052323.811341644000140000%000000.3400000000
6Joel NystromAdmirals (Nas)D11178-3809519495.26%1622820.73112516011022100%000000.7000000000
7Matthew PhillipsAdmirals (Nas)C/LW/RW22268-600318246188.33%227412.4700000000010061.00%10000000.5800000000
8Corey SchuenemanAdmirals (Nas)D15167220614279153.70%1633922.630111325000027000%000000.4100000010
9Marc Del GaizoAdmirals (Nas)D22167-3952815186155.56%2138017.28011714000019000%000000.3700001100
10Phillip DigiuseppeAdmirals (Nas)LW/RW22347-820214486316.25%033515.23022649000000047.62%2100000.4200000010
11Tobias BjornfotAdmirals (Nas)D22167-41001621245124.17%2542719.431121442000013000%000000.3300000000
12Stepan FalkovskyAdmirals (Nas)D22167-31803316139137.69%1639618.01101315011040000%000000.3500000000
13Nikolai ProkhorkinAdmirals (Nas)LW/RW22246-1181032172912226.90%237717.161238490000441050.77%6500000.3212200101
14Nikolay GoldobinAdmirals (Nas)LW/RW22235-1005153514265.71%238917.732026350003450049.02%5100000.2611000000
15Jonathan AngAdmirals (Nas)C22235-57526364315304.65%632814.92000000001270048.08%39100000.3000010001
16Brendan PerliniAdmirals (Nas)LW/RW22224-5201210257258.00%130013.6400001000061038.46%2600000.2700000010
17Tobias RiederAdmirals (Nas)LW/RW2221302029454304.44%229413.39000614000000032.00%2500000.2000000002
18Max ZimmerAdmirals (Nas)LW/RW112021000061233.33%0686.2200000000000033.33%600000.5800000000
19Simon StranskyAdmirals (Nas)LW/RW15011-240144205110%21489.8800000000020062.50%800000.1300000000
20Jere InnalaAdmirals (Nas)C4000000010000%041.230000100000000%30000000000000
21Casey FitzgeraldAdmirals (Nas)D6000-2601212010%510918.2600000000015000%00000000000000
Statistiques d’équipe totales ou en moyenne3844682128-50153253343575881764167.82%154629716.4010162610645812373787252.35%184900000.4126212648
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)198830.9132.69104721475400110.7504190240
2Antoine BibeauAdmirals (Nas)70300.8873.53289001715000000319000
Statistiques d’équipe totales ou en moyenne2681130.9072.871337216469001142219240


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
Casey FitzgeraldAdmirals (Nas)D291997-02-25USANo178 Lbs5 ft11NoNoTrade2026-09-28NoNo12024-04-29FalseFalsePro & Farm900,000$0$0$No---------------------------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
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'Brien (sur la masse salariale)Admirals (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)D271999-10-11USANo188 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/RW311995-10-07RUSNo191 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
Otto SomppiAdmirals (Nas)C281998-01-12FINNo190 Lbs6 ft1NoNoN/ANoNo22026-04-29FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------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/RW331993-10-09CANNo193 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
2829.04194 Lbs6 ft11.96967,893$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nikolai ProkhorkinLane PedersonOstap Safin25122
2Tobias RiederPhillip Digiuseppe25122
3Nikolay GoldobinJonathan AngBrendan Perlini25122
4Max ZimmerMatthew Phillips25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Louis CrevierCorey Schueneman25122
2Stepan FalkovskyJoel Nystrom25122
3Tobias BjornfotMarc Del Gaizo25122
4Louis CrevierJoel Nystrom25122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nikolai ProkhorkinLane PedersonOstap Safin50122
2Tobias RiederPhillip Digiuseppe50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Louis CrevierTobias Bjornfot50122
2Stepan FalkovskyJoel Nystrom50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nikolay Goldobin50122
2Nikolai ProkhorkinOstap Safin50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Louis CrevierMarc Del Gaizo50122
2Stepan FalkovskyJoel Nystrom50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ostap Safin50122Louis CrevierTobias Bjornfot50122
250122Stepan FalkovskyJoel Nystrom50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jonathan Ang50122
2Nikolai ProkhorkinOstap Safin50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Louis CrevierMarc Del Gaizo50122
2Stepan FalkovskyJoel Nystrom50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nikolai ProkhorkinLane PedersonOstap SafinLouis CrevierJoel Nystrom
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nikolai ProkhorkinLane PedersonOstap SafinLouis CrevierJoel Nystrom
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Jonathan Ang, Nikolay GoldobinNikolai Prokhorkin, Jonathan AngNikolay Goldobin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tobias Bjornfot, Marc Del Gaizo, Stepan FalkovskyTobias BjornfotMarc Del Gaizo, Stepan Falkovsky
Tirs de pénalité
Lane Pederson, , Nikolai Prokhorkin, Ostap Safin, Tobias Rieder
Gardien
#1 : Christopher Gibson, #2 : Antoine Bibeau


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
TotalDomicile Visiteur
# 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 RI
1Barracuda2110000057-21010000006-61100000051420.5005101500189203422151881962158131234200.00%6350.00%039073453.13%39977051.82%17932355.42%534367516160287146
2Canucks10001000321000000000001000100032121.00035800189203332151881962134910135120.00%5180.00%039073453.13%39977051.82%17932355.42%534367516160287146
3Condors1010000035-21010000035-20000000000000.00036910189203232151881962128122163133.33%10100.00%039073453.13%39977051.82%17932355.42%534367516160287146
4Griffins1000000101-1000000000001000000101-110.5000000018920316215188196213091019000%50100.00%039073453.13%39977051.82%17932355.42%534367516160287146
5Icehogs1000010023-1000000000001000010023-110.5002460018920342215188196213062144125.00%10100.00%039073453.13%39977051.82%17932355.42%534367516160287146
6Iowa Wild1000010023-1000000000001000010023-110.5002460018920320215188196213791118300.00%3166.67%039073453.13%39977051.82%17932355.42%534367516160287146
7Reign10000010431000000000001000001043121.000461000189203512151881962142511123133.33%3233.33%039073453.13%39977051.82%17932355.42%534367516160287146
8Roadrunners41300000915-62020000049-52110000056-120.25091726001892031232151881962113032366310220.00%12558.33%039073453.13%39977051.82%17932355.42%534367516160287146
9Rocket1010000014-3000000000001010000014-300.00012300189203182151881962135661011100.00%30100.00%039073453.13%39977051.82%17932355.42%534367516160287146
10Silver Knights21100000651211000006510000000000020.5006111700189203592151881962141171231600.00%4250.00%039073453.13%39977051.82%17932355.42%534367516160287146
11StarsF1010000003-31010000003-30000000000000.000000001892032821518819621288714100.00%10100.00%039073453.13%39977051.82%17932355.42%534367516160287146
12Thunderbirds4310000014104220000007342110000077060.750142337001892031002151881962113734226615320.00%11281.82%139073453.13%39977051.82%17932355.42%534367516160287146
13Wolf Pack1010000002-21010000002-20000000000000.0000000018920326215188196213051017100.00%5180.00%039073453.13%39977051.82%17932355.42%534367516160287146
14Wranglers1010000003-3000000000001010000003-300.000000001892033321518819621315416300.00%20100.00%039073453.13%39977051.82%17932355.42%534367516160287146
Total22611012114966-171037000002033-131234012112933-4190.43249881371018920361421518819621691170155343571017.54%621772.58%139073453.13%39977051.82%17932355.42%534367516160287146
_Since Last GM Reset22611012114966-171037000002033-131234012112933-4190.43249881371018920361421518819621691170155343571017.54%621772.58%139073453.13%39977051.82%17932355.42%534367516160287146
_Vs Conference2069012114860-12936000002031-111133012112829-1190.4754886134101892035702151881962162615913931655916.36%541670.37%139073453.13%39977051.82%17932355.42%534367516160287146
_Vs Division1131001012734-7520000001115-4611001011619-380.3642748750018920331321518819621362897817533618.18%28871.43%139073453.13%39977051.82%17932355.42%534367516160287146

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2219W2498813761469117015534310
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2261112114966
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
103700002033
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
123412112933
Derniers 10 matchs
WLOTWOTL SOWSOL
360001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
571017.54%621772.58%1
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
21518819621189203
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
39073453.13%39977051.82%17932355.42%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
534367516160287146


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 - 2025-09-24229Admirals0Wranglers3LSommaire du match
32 - 2025-09-26244Admirals0Griffins1LXXSommaire du match
34 - 2025-09-28260Thunderbirds1Admirals3WSommaire du match
36 - 2025-09-30270Admirals3Thunderbirds6LSommaire du match
38 - 2025-10-02290Admirals1Rocket4LSommaire du match
40 - 2025-10-04298Wolf Pack2Admirals0LSommaire du match
43 - 2025-10-07322Admirals4Thunderbirds1WSommaire du match
45 - 2025-10-09331Thunderbirds2Admirals4WSommaire du match
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
Assistance20,00010,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
32 3000 - 100.00% 178,800$1,788,000$3000125

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
714,571$ 2,710,100$ 2,710,100$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 689,017$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,721,600$ 137 15,272$ 2,092,264$




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