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Admirals
GP: 13 | W: 5 | L: 6 | OTL: 2 | P: 12
GF: 33 | GA: 41 | PP%: 15.63% | PK%: 62.50%
DG: Simon Demèlo | Morale : 47 | Moyenne d’équipe : 64
Prochains matchs #218 vs Roadrunners

Centre de jeu
Condors
8-4-1, 17pts
5
3 Admirals
5-6-2, 12pts
Team Stats
OTL1SéquenceL2
2-4-0Fiche domicile1-5-0
6-0-1Fiche domicile4-1-2
6-3-1Derniers 10 matchs5-3-2
3.31Buts par match 2.54
2.69Buts contre par match 3.15
23.81%Pourcentage en avantage numérique15.63%
73.68%Pourcentage en désavantage numérique62.50%
Silver Knights
6-4-3, 15pts
4
3 Admirals
5-6-2, 12pts
Team Stats
W2SéquenceL2
3-2-1Fiche domicile1-5-0
3-2-2Fiche domicile4-1-2
4-3-3Derniers 10 matchs5-3-2
3.38Buts par match 2.54
3.23Buts contre par match 3.15
21.28%Pourcentage en avantage numérique15.63%
78.26%Pourcentage en désavantage numérique62.50%
Roadrunners
9-5-0, 18pts
2025-09-22
Admirals
5-6-2, 12pts
Statistiques d’équipe
L2SéquenceL2
3-3-0Fiche domicile1-5-0
6-2-0Fiche visiteur4-1-2
5-5-010 derniers matchs5-3-2
3.50Buts par match 2.54
3.14Buts contre par match 2.54
27.91%Pourcentage en avantage numérique15.63%
66.67%Pourcentage en désavantage numérique62.50%
Admirals
5-6-2, 12pts
2025-09-24
Wranglers
6-7-0, 12pts
Statistiques d’équipe
L2SéquenceL1
1-5-0Fiche domicile2-5-0
4-1-2Fiche visiteur4-2-0
5-3-210 derniers matchs5-5-0
2.54Buts par match 3.00
3.15Buts contre par match 3.00
15.63%Pourcentage en avantage numérique21.95%
62.50%Pourcentage en désavantage numérique72.34%
Admirals
5-6-2, 12pts
2025-09-26
Griffins
7-5-2, 16pts
Statistiques d’équipe
L2SéquenceW2
1-5-0Fiche domicile4-2-0
4-1-2Fiche visiteur3-3-2
5-3-210 derniers matchs5-5-0
2.54Buts par match 3.36
3.15Buts contre par match 3.36
15.63%Pourcentage en avantage numérique28.57%
62.50%Pourcentage en désavantage numérique74.42%
Meneurs d'équipe
Buts
Otto Somppi
4
Passes
Corey Schueneman
6
Points
Otto Somppi
8
Plus/Moins
Lane Pederson
3
Victoires
Christopher Gibson
5
Pourcentage d’arrêts
Christopher Gibson
0.903

Statistiques d’équipe
Buts pour
33
2.54 GFG
Tirs pour
389
29.92 Avg
Pourcentage en avantage numérique
15.6%
5 GF
Début de zone offensive
41.5%
Buts contre
41
3.15 GAA
Tirs contre
399
30.69 Avg
Pourcentage en désavantage numérique
62.5%%
12 GA
Début de la zone défensive
39.8%
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 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 Pederson0X97.0073469075728279747372667566665258506702921,350,000$
2Otto Somppi0X100.0065458872707378757672707666595154476602821,200,000$
3Liam O'Brien0X100.0083457375747076717566687166715238476503231,325,000$
4Nikolay Goldobin87XX100.0057439672716969686665666564735442476403031,000,000$
5Nikolai Prokhorkin0XX100.0077498369737275696465666864715934536403331,000,000$
6Ostap Safin0XX100.007658697273767668696869646055505451640272900,000$
7Phillip Digiuseppe0XX100.0060459870717282695966676865735834476403231,000,000$
8Jonathan Ang0X100.006147897266747071766869686056505447640282900,000$
9Tobias Rieder0XX100.0058459970707575696066666964686430476403331,000,000$
10Brendan Perlini0XX100.005945957075716869596665666371604247630303900,000$
11Matthew Phillips (A)0XXX100.006245887264727860757165636760505450620282900,000$
12Max Zimmer0XX100.005945937268737865636467656060495437620282700,000$
13Louis Crevier0X100.0070459173777876744573647755524866506702522,000,000$
14Emil Johansson0X100.0065458572687879764570657357665254506603031,300,000$
15Joel Nystrom (R)0X100.006445927567747774457365735945457037650241900,000$
16Marc Del Gaizo0X100.006347887369777872457167705952476251650261750,000$
17Tobias Bjornfot0X100.006245917270777570456963745664476650650252750,000$
18Stepan Falkovsky0X100.0071458372767677674569666855675450506502911,200,000$
Rayé
1Simon Stransky0XX100.006644897268697764646568695360515450620281800,000$
2Jere Innala0X100.006845937267687466616366696349474237610282900,000$
3Adam Marsh0XX100.007658598070646161615960596062566237600292500,000$
4Patrick Harper0X100.005945867262667160706666636651465437600282500,000$
5Corey Schueneman0X99.0059469973718074724571667666564742516603111,800,000$
6Nathan Knoepke0X100.006445907272696959455953645149465837590272500,000$
7Cole Candella0X100.005342887070676559455656665946455437580282500,000$
MOYENNE D’ÉQUIPE99.84654688727073746859676569616051514664
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 Bibeau0100.007581808178788279808179515646536403211,200,500$
2Brandon Halverson0100.00797876858068767273769146504240610303725,000$
Rayé
1Christopher Gibson099.007876758079808482838383525646436503311,000,500$
MOYENNE D’ÉQUIPE99.6777787782797581787980845054454563
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
1Otto SomppiAdmirals (Nas)C1344830072737132810.81%119715.17011627000001055.34%26200000.8100000101
2Corey SchuenemanAdmirals (Nas)D11167220511258124.00%1327725.230111324000022000%000000.5000000010
3Liam O'BrienAdmirals (Nas)C13347-5100322227162511.11%121116.26112429000010056.38%24300000.6600000000
4Emil JohanssonAdmirals (Nas)D132570401452071410.00%1425419.54011728000124010%000000.5500000000
5Louis CrevierAdmirals (Nas)D1325711001216215139.52%1831224.02112925000122000%000000.4500000000
6Lane PedersonAdmirals (Nas)C134263208173472011.76%421716.72000000000231054.62%23800000.5501000002
7Marc Del GaizoAdmirals (Nas)D13156-175159112119.09%1120215.540113600004000%000000.5900001100
8Ostap SafinAdmirals (Nas)LW/RW1342621352352151119.05%019715.17101229000000150.00%1000000.6100001100
9Tobias BjornfotAdmirals (Nas)D13156-24081117395.88%1825419.5811292800004000%000000.4700000000
10Phillip DigiuseppeAdmirals (Nas)LW/RW13235-50017273187.41%020215.59011229000000037.50%1600000.4900000010
11Jonathan AngAdmirals (Nas)C13235-25512162810237.14%318714.40000000001220048.88%22300000.5300010001
12Nikolay GoldobinAdmirals (Nas)LW/RW13134300082411144.17%122517.331015270003220043.75%1600000.3611000000
13Nikolai ProkhorkinAdmirals (Nas)LW/RW13134112102211177155.88%021616.690114270000231055.00%2000000.3711200100
14Brendan PerliniAdmirals (Nas)LW/RW13224-320711551813.33%017013.1200001000011029.41%1700000.4700000010
15Joel NystromAdmirals (Nas)D2033-140201110%63417.220000000000000%000001.7400000000
16Matthew PhillipsAdmirals (Nas)C/LW/RW13123-50015154126.67%117213.2400000000000060.00%1500000.3500000000
17Stepan FalkovskyAdmirals (Nas)D13033-312017105370%1223718.2400000000016000%000000.2500000000
18Simon StranskyAdmirals (Nas)LW/RW11011-240144205110%214813.4600000000020062.50%800000.1400000000
19Tobias RiederAdmirals (Nas)LW/RW1310132025241164.17%217113.1700000000000025.00%1600000.1200000001
20Max ZimmerAdmirals (Nas)LW/RW2000000000000%000.030000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne234326193-1193252021903891162788.23%107388916.6259146428700061924252.86%108400000.4823212435
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)30100.8773.591170075700000112000
Statistiques d’équipe totales ou en moyenne155620.8993.03792004039800121312020


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
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/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
2828.96195 Lbs6 ft12.04982,179$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tobias RiederOtto SomppiOstap 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 ProkhorkinOtto SomppiNikolay 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
1Barracuda2110000057-21010000006-61100000051420.5005101500136123421361211221358131234200.00%6350.00%024244354.63%21542550.59%11620058.00%3262262979317088
2Canucks10001000321000000000001000100032121.00035800136123331361211221334910135120.00%5180.00%024244354.63%21542550.59%11620058.00%3262262979317088
3Condors1010000035-21010000035-20000000000000.00036910136123231361211221328122163133.33%10100.00%024244354.63%21542550.59%11620058.00%3262262979317088
4Icehogs1000010023-1000000000001000010023-110.5002460013612342136121122133062144125.00%10100.00%024244354.63%21542550.59%11620058.00%3262262979317088
5Iowa Wild1000010023-1000000000001000010023-110.5002460013612320136121122133791118300.00%3166.67%024244354.63%21542550.59%11620058.00%3262262979317088
6Reign10000010431000000000001000001043121.000461000136123511361211221342511123133.33%3233.33%024244354.63%21542550.59%11620058.00%3262262979317088
7Roadrunners31200000810-21010000034-12110000056-120.333815230013612391136121122131012826505120.00%8362.50%024244354.63%21542550.59%11620058.00%3262262979317088
8Silver Knights21100000651211000006510000000000020.5006111700136123591361211221341171231600.00%4250.00%024244354.63%21542550.59%11620058.00%3262262979317088
9StarsF1010000003-31010000003-30000000000000.000000001361232813612112213288714100.00%10100.00%024244354.63%21542550.59%11620058.00%3262262979317088
Total1336012103341-8615000001223-117210121021183120.46233619410136123389136121122133991079320232515.63%321262.50%024244354.63%21542550.59%11620058.00%3262262979317088
_Since Last GM Reset1336012103341-8615000001223-117210121021183120.46233619410136123389136121122133991079320232515.63%321262.50%024244354.63%21542550.59%11620058.00%3262262979317088
_Vs Conference1336012103341-8615000001223-117210121021183120.46233619410136123389136121122133991079320232515.63%321262.50%024244354.63%21542550.59%11620058.00%3262262979317088
_Vs Division600001001219-72000000037-440000100912-310.083122335001361231811361211221319651469613215.38%13469.23%024244354.63%21542550.59%11620058.00%3262262979317088

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1312L23361943893991079320210
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
133612103341
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
61500001223
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
72112102118
Derniers 10 matchs
WLOTWOTL SOWSOL
331210
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
32515.63%321262.50%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
13612112213136123
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
24244354.63%21542550.59%11620058.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
3262262979317088


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 - 2025-09-22218Roadrunners-Admirals-
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
Assistance12,0006,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 3000 - 100.00% 178,800$1,072,800$3000125

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
414,425$ 2,750,100$ 2,750,100$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 399,738$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
6,436,800$ 157 15,490$ 2,431,930$




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