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Connexion

Admirals
GP: 59 | W: 27 | L: 26 | OTL: 6 | P: 60
GF: 254 | GA: 267 | PP%: 24.19% | PK%: 77.39%
DG: Dany Potvin | Morale : 33 | Moyenne d’équipe : 63
Prochains matchs #765 vs Roadrunners

Centre de jeu
Moose
27-25-9, 63pts
6
5 Admirals
27-26-6, 60pts
Team Stats
L1SéquenceL1
11-13-5Fiche domicile14-11-4
16-12-4Fiche domicile13-15-2
6-3-1Derniers 10 matchs2-7-1
3.87Buts par match 4.31
4.20Buts contre par match 4.53
19.57%Pourcentage en avantage numérique24.19%
77.48%Pourcentage en désavantage numérique77.39%
Admirals
27-26-6, 60pts
4
7 Crunch
29-24-3, 61pts
Team Stats
L1SéquenceW4
14-11-4Fiche domicile17-12-1
13-15-2Fiche domicile12-12-2
2-7-1Derniers 10 matchs7-3-0
4.31Buts par match 3.82
4.53Buts contre par match 3.57
24.19%Pourcentage en avantage numérique14.54%
77.39%Pourcentage en désavantage numérique78.82%
Admirals
27-26-6, 60pts
Jour 122
Roadrunners
31-19-9, 71pts
Statistiques d’équipe
L1SéquenceW1
14-11-4Fiche domicile17-7-5
13-15-2Fiche visiteur14-12-4
2-7-110 derniers matchs5-3-2
4.31Buts par match 4.17
4.53Buts contre par match 4.17
24.19%Pourcentage en avantage numérique23.35%
77.39%Pourcentage en désavantage numérique81.82%
Roadrunners
31-19-9, 71pts
Jour 123
Admirals
27-26-6, 60pts
Statistiques d’équipe
W1SéquenceL1
17-7-5Fiche domicile14-11-4
14-12-4Fiche visiteur13-15-2
5-3-210 derniers matchs2-7-1
4.17Buts par match 4.31
3.88Buts contre par match 4.31
23.35%Pourcentage en avantage numérique24.19%
81.82%Pourcentage en désavantage numérique77.39%
Admirals
27-26-6, 60pts
Jour 125
Checkers
23-31-3, 49pts
Statistiques d’équipe
L1SéquenceL1
14-11-4Fiche domicile12-15-2
13-15-2Fiche visiteur11-16-1
2-7-110 derniers matchs3-7-0
4.31Buts par match 3.75
4.53Buts contre par match 3.75
24.19%Pourcentage en avantage numérique23.08%
77.39%Pourcentage en désavantage numérique81.62%
Meneurs d'équipe
Buts
Joel Armia
41
Passes
Joel Armia
50
Points
Joel Armia
91
Plus/Moins
Gage Goncalves
11
Victoires
Tristan Jarry
19
Pourcentage d’arrêts
Tristan Jarry
0.869

Statistiques d’équipe
Buts pour
254
4.31 GFG
Tirs pour
2008
34.03 Avg
Pourcentage en avantage numérique
24.2%
52 GF
Début de zone offensive
36.6%
Buts contre
267
4.53 GAA
Tirs contre
1980
33.56 Avg
Pourcentage en désavantage numérique
77.4%%
52 GA
Début de la zone défensive
35.5%
Informations de l'équipe

Directeur généralDany Potvin
EntraîneurWayne Gretzky
DivisionJohn-Ahearne
ConférenceRobert-Lebel
Capitaine
Assistant #1
Assistant #2Reilly Walsh


Informations de l’aréna

Capacité3,000
Assistance2,746
Billets de saison300


Informations de la formation

Équipe Pro38
Équipe Mineure18
Limite contact 56 / 250
Espoirs0


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
1Joel ArmiaX100.007733828081707677778080657265573445750271975,000$
2Hunter ShinkarukX100.007139787474747874677485607868593337730261950,000$
3Lucas WallmarkX100.006432817677767875847769726963533749720251900,000$
4Josh Norris (R)X100.006931817274797573696286567658465343700212900,000$
5Nolan VeseyX100.008037757872607879667669616452523333700251850,000$
6Gerald MayhewX100.005843806867698475756578607463583220690281750,000$
7Pavol Regenda (R)X100.007347796867726473706869606651465548670213800,000$
8William Bitten (R)X100.007746677171647569556568576444454026650222500,000$
9Jack Quinn (R)X100.006839825072696772697274426941427948640192500,000$
10Milos Kelemen (R)X100.006323706183667071756472506646465830640214700,000$
11Filip Chlapik (R)X100.006538715869586163755972555645453818620233500,000$
12Gage Goncalves (R)X100.005737736758654872616157536643416948600192500,000$
13Reilly Walsh (R) (A)X97.276933857572727168517862855964464920730211950,000$
14Olli Juolevi (R)X100.007532798672667185487762755863484841730221700,000$
15Ian Mitchell (R)X100.006034817969666879508267745158465539700212850,000$
16Carl DahlstromX100.007318836662617463467065805854543434680251800,000$
17Sean Durzi (R)X100.006239837857666781377562674647465448670223900,000$
18Josh Wesley (R)X100.005839856669677060457059744948503548660242700,000$
19Tobias Bjornfot (R)X100.005330737955637274448357694747426748650191500,000$
20Matt Kessel (R)X100.005839905663606856286841794644445748640202500,000$
21Sergei Zborovskiy (R)X100.005732817070646557325641765447473920630233700,000$
22Henry Thrun (R)X100.006837665653645757356054634641416717590191500,000$
Rayé
1Carsen Twarynski (R)X100.004939876563816355607563715745473520640233500,000$
2Bokondji Imama (R)X100.008056694879516962626165466346463019600242500,000$
3Ruslan Iskhakov (R)X100.005943636768655564556364455743436020590204500,000$
4Mark Kastelic (R)X100.007339635978516963565565535843434819590211500,000$
5Brandon Coe (R)X100.006321604466505259605371365340406520540182500,000$
6Theo Rochette (R)X100.004222705940516259726759375340407318540182500,000$
7Maxim Groshev (R)X100.005932646153525055605349495240406919530182500,000$
8Dylan Peterson (R)X100.005836625562465763464958464240407520530182500,000$
9Ty Smilanic (R)X100.005545665657516150575152516340407920530182500,000$
10Jack Malone (R)X100.004738625154585643616158485543435220530201500,000$
11Patrick Moynihan (R)X100.005135614955454852554848396741416420490191500,000$
12Grant HuttonX100.008251586965655651417159624255563319650251600,000$
13Libor Hajek (R)X100.006644776464596261385647675344443720620224500,000$
MOYENNE D’ÉQUIPE99.92643774656663666557666360594946513063
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
1Tristan Jarry100.00747575686676726456766663533554680251800,000$
2Zachary Emond99.00375047545754505265514242424854530202650,000$
Rayé
1Alexis Gravel100.00584461594951604549485542424820520202650,000$
MOYENNE D’ÉQUIPE99.6756566160576061545758544946444358
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Wayne Gretzky70628291526855Can673800,000$


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
1Joel ArmiaAdmirals (Nas)RW58415091624089792707512515.19%39127722.031112234017020251465247.09%2066430021.4222000921
2Olli JuoleviAdmirals (Nas)D58114556-146158110115664667.05%89132122.796612211550004146300%04239000.8511100020
3Josh NorrisAdmirals (Nas)C57203555036091971243910016.13%23115720.303912615200051050047.96%14682625000.9501000133
4Ian MitchellAdmirals (Nas)D59124254-32955310613549748.89%95140923.905813181680223186210%03145000.7700001132
5Lucas WallmarkAdmirals (Nas)C59272754-1749580108161489816.77%29106418.04610161410411251672251.85%11073116011.0101001255
6Pavol RegendaAdmirals (Nas)LW5925285333209268159468815.72%2099016.78448141170001263142.00%502510001.0700000330
7Nolan VeseyAdmirals (Nas)LW5223254803607347152557815.13%1876914.80681418891012702150.00%46239001.2500000312
8Hunter ShinkarukAdmirals (Nas)LW43162541-1218067521354210911.85%1484019.5531013141021015952265.52%582713100.9801000022
9Gerald MayhewAdmirals (Nas)RW35171027820342791194418.68%1044012.591235370111152154.29%35126001.2300000420
10Gage GoncalvesAdmirals (Nas)C599152411340456668104613.24%1272212.251341470000120044.47%43468000.6600000001
11Tobias BjornfotAdmirals (Nas)D5981624-15240265961202113.11%4782413.97415683000031010%0922000.5800000001
12Sean DurziAdmirals (Nas)D5912122320024484715192.13%4373412.45011165000026000%01023000.6000000012
13Reilly WalshAdmirals (Nas)D41220221016056685723203.51%6591422.3113491170111123000%01334000.4800000002
14Jack QuinnAdmirals (Nas)RW599918-24120783464202714.06%1183114.100441680002161151.43%3589000.4301000111
15Milos KelemenAdmirals (Nas)LW4610616-5160312261172716.39%1046210.0500003000090047.37%1984000.6900000001
16William BittenAdmirals (Nas)RW32871510200363262212912.90%833210.39101418000002058.33%1290000.9000000012
17Carl DahlstromAdmirals (Nas)D442810010028484511154.44%5672916.590000320110103100%0428000.2700000010
18Filip ChlapikAdmirals (Nas)C242810-38018191951810.53%624110.0501108000020059.68%12423000.8300000000
19Josh WesleyAdmirals (Nas)D5919102801538173125.88%285058.5800000011013000%0024000.4000000000
20Matt KesselAdmirals (Nas)D5905522073611770%274667.9100004000085000%0023000.2100000000
21Ruslan IskhakovAdmirals (Nas)C28224-4401011256108.00%21987.0900000000000040.00%6542000.4000000000
22Carsen TwarynskiAdmirals (Nas)LW2013412091111199.09%71859.27000010000190050.00%244000.4300000002
23Ty SmilanicAdmirals (Nas)LW21213-36012792522.22%31939.20000010001250133.33%605000.3100000000
24Dylan PetersonAdmirals (Nas)RW180111120765240%41608.930000000000000%201000.1200000000
25Sergei ZborovskiyAdmirals (Nas)D29101-4001830333.33%21204.1400000000013100%002000.1700000010
26Bokondji ImamaAdmirals (Nas)LW3000000000000%0124.140000000003000%00000000000000
27Maxim GroshevAdmirals (Nas)RW6000100420000%2518.660000100000000%00100000000000
28Theo RochetteAdmirals (Nas)C12000-320434150%0877.2900000000000040.00%250000000000000
29Grant HuttonAdmirals (Nas)D6000-240110000%1294.990000000000000%00000000000000
30Libor HajekAdmirals (Nas)D4000000000000%010.290000000000000%00000000000000
31Mark KastelicAdmirals (Nas)C5000000000000%020.540000000001000%10000000000000
32Henry ThrunAdmirals (Nas)D12000040312110%1574.800000000003000%00100000000000
Statistiques d’équipe totales ou en moyenne1185250418668-5149115107512051954602106012.79%6721713914.46528213417215535712351451261349.15%3695358387130.7837102242827
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
1Tristan JarryAdmirals (Nas)48191960.8694.312590201861423692310.42974510220
2Zachary EmondAdmirals (Nas)146400.8674.37701205138423100001137000
3Alexis GravelAdmirals (Nas)72300.8435.9827100271721000000312000
Statistiques d’équipe totales ou en moyenne69272660.8674.45356340264197910233175959220


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond 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
Alexis GravelAdmirals (Nas)G202000-01-01CANNo219 Lbs6 ft3NoNoFree AgentNoNo22025-11-05FalseFalsePro & Farm650,000$188,462$0$0$No650,000$--------650,000$--------No--------Lien
Bokondji ImamaAdmirals (Nas)LW241996-01-01CANYes221 Lbs6 ft1NoNoFree AgentNoNo22025-10-10FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------Lien
Brandon CoeAdmirals (Nas)RW182002-01-01CANYes188 Lbs6 ft4NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Carl DahlstromAdmirals (Nas)D251995-01-01SWENo185 Lbs6 ft4NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm800,000$231,953$0$0$No---------------------------Lien
Carsen TwarynskiAdmirals (Nas)LW231997-01-01CANYes198 Lbs6 ft2NoNoFree AgentNoNo32025-10-10FalseFalsePro & Farm500,000$144,970$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Dylan PetersonAdmirals (Nas)RW182002-01-01USAYes192 Lbs6 ft3NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Filip ChlapikAdmirals (Nas)C231997-01-01CZEYes194 Lbs6 ft2NoNoFree AgentNoNo32025-10-10FalseFalsePro & Farm500,000$144,970$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Gage GoncalvesAdmirals (Nas)C192001-01-01CANYes184 Lbs6 ft1NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Gerald MayhewAdmirals (Nas)RW281992-01-01USANo161 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm750,000$217,456$0$0$No---------------------------Lien
Grant HuttonAdmirals (Nas)D251995-01-01USANo207 Lbs6 ft4NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm600,000$173,964$0$0$No---------------------------Lien
Henry ThrunAdmirals (Nas)D192001-01-01CANYes190 Lbs6 ft2NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Hunter ShinkarukAdmirals (Nas)LW261994-01-01CANNo185 Lbs5 ft11NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm950,000$275,444$0$0$No---------------------------Lien
Ian MitchellAdmirals (Nas)D211999-01-01CANYes173 Lbs5 ft11NoNoFree AgentNoNo22025-10-10FalseFalsePro & Farm850,000$246,450$0$0$No850,000$--------850,000$--------No--------Lien
Jack MaloneAdmirals (Nas)RW202000-01-01USAYes190 Lbs6 ft1NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Jack QuinnAdmirals (Nas)RW192001-01-01CANYes176 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Joel ArmiaAdmirals (Nas)RW271993-01-01FINNo205 Lbs6 ft3NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm975,000$282,692$0$0$No---------------------------Lien
Josh NorrisAdmirals (Nas)C211999-01-01USAYes199 Lbs6 ft1NoNoFree AgentNoNo22025-10-10FalseFalsePro & Farm900,000$260,947$0$0$No900,000$--------900,000$--------No--------Lien
Josh WesleyAdmirals (Nas)D241996-01-01USAYes201 Lbs6 ft3NoNoFree AgentNoNo22025-10-10FalseFalsePro & Farm700,000$202,959$0$0$No700,000$--------700,000$--------No--------Lien
Libor HajekAdmirals (Nas)D221998-01-01CZEYes205 Lbs6 ft2NoNoFree AgentNoNo42025-10-10FalseFalsePro & Farm500,000$144,970$0$0$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien
Lucas WallmarkAdmirals (Nas)C251995-01-01SWENo185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm900,000$260,947$0$0$No---------------------------Lien
Mark KastelicAdmirals (Nas)C211999-01-01USAYes227 Lbs6 ft4NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Matt KesselAdmirals (Nas)D202000-01-01USAYes205 Lbs6 ft2NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Maxim GroshevAdmirals (Nas)RW182002-01-01RUSYes194 Lbs6 ft2NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Milos KelemenAdmirals (Nas)LW211999-01-01SVKYes210 Lbs6 ft2NoNoFree AgentNoNo42025-10-10FalseFalsePro & Farm700,000$202,959$0$0$No700,000$700,000$700,000$------700,000$700,000$700,000$------NoNoNo------Lien
Nolan VeseyAdmirals (Nas)LW251995-01-01USANo210 Lbs6 ft2NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm850,000$246,450$0$0$No---------------------------Lien
Olli JuoleviAdmirals (Nas)D221998-01-01FINYes183 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$202,959$0$0$No---------------------------Lien
Patrick MoynihanAdmirals (Nas)RW192001-01-01CANYes185 Lbs5 ft11NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Pavol RegendaAdmirals (Nas)LW211999-01-01SVKYes212 Lbs6 ft4NoNoFree AgentNoNo32025-10-10FalseFalsePro & Farm800,000$231,953$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Reilly WalshAdmirals (Nas)D211999-01-01CANYes185 Lbs6 ft0NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm950,000$275,444$0$0$No---------------------------Lien
Ruslan IskhakovAdmirals (Nas)C202000-01-01RUSYes165 Lbs5 ft9NoNoFree AgentNoNo42025-10-10FalseFalsePro & Farm500,000$144,970$0$0$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien
Sean DurziAdmirals (Nas)D221998-01-01CANYes195 Lbs6 ft0NoNoFree AgentNoNo32025-10-10FalseFalsePro & Farm900,000$260,947$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Sergei ZborovskiyAdmirals (Nas)D231997-01-01RUSYes194 Lbs6 ft4NoNoFree AgentNoNo32025-10-10FalseFalsePro & Farm700,000$202,959$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------Lien
Theo RochetteAdmirals (Nas)C182002-01-01CHEYes172 Lbs5 ft10NoNoTrade2025-11-06NoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Tobias BjornfotAdmirals (Nas)D192001-01-01SWEYes201 Lbs6 ft1NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Tristan JarryAdmirals (Nas)G251995-01-01CANNo185 Lbs6 ft2NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm800,000$231,953$0$0$No---------------------------Lien
Ty SmilanicAdmirals (Nas)LW182002-01-01USAYes175 Lbs6 ft1NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
William BittenAdmirals (Nas)RW221998-01-01CANYes179 Lbs5 ft10NoNoTrade2026-01-02NoNo22025-10-01FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------Lien
Zachary EmondAdmirals (Nas)G202000-01-01CANNo165 Lbs6 ft3NoNoFree AgentNoNo22025-11-05FalseFalsePro & Farm650,000$188,462$0$0$No650,000$--------650,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3821.63192 Lbs6 ft21.89648,026$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pavol RegendaJosh NorrisJoel Armia40122
2Hunter ShinkarukLucas WallmarkJack Quinn30122
3Nolan VeseyGage GoncalvesGerald Mayhew20122
4Milos KelemenFilip ChlapikWilliam Bitten10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olli JuoleviIan Mitchell40122
2Carl DahlstromTobias Bjornfot30122
3Matt KesselSean Durzi20122
4Henry ThrunJosh Wesley10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pavol RegendaJosh NorrisJoel Armia60113
2Hunter ShinkarukLucas WallmarkJack Quinn40113
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olli JuoleviIan Mitchell60122
2Sean DurziTobias Bjornfot40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Lucas WallmarkJoel Armia60122
2Josh NorrisPavol Regenda40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olli JuoleviIan Mitchell60131
2Carl DahlstromMatt Kessel40131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Lucas Wallmark60131Olli JuoleviIan Mitchell60131
2Joel Armia40131Carl DahlstromMatt Kessel40131
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Josh NorrisJoel Armia60122
2Lucas WallmarkHunter Shinkaruk40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olli JuoleviIan Mitchell60122
2Carl DahlstromTobias Bjornfot40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Hunter ShinkarukJosh NorrisJoel ArmiaOlli JuoleviIan Mitchell
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Hunter ShinkarukJosh NorrisJoel ArmiaOlli JuoleviIan Mitchell
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nolan Vesey, Gerald Mayhew, Jack QuinnNolan Vesey, Milos KelemenHunter Shinkaruk
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Sean Durzi, Matt Kessel, Josh WesleyJosh WesleyTobias Bjornfot, Henry Thrun
Tirs de pénalité
Joel Armia, Josh Norris, Lucas Wallmark, Jack Quinn, Nolan Vesey
Gardien
#1 : Tristan Jarry, #2 : Zachary Emond
Lignes d’attaque personnalisées en prolongation
Joel Armia, Hunter Shinkaruk, Josh Norris, Lucas Wallmark, Pavol Regenda, Gerald Mayhew, Gage Goncalves, William Bitten, Jack Quinn, Milos Kelemen
Lignes de défense personnalisées en prolongation
Olli Juolevi, Ian Mitchell, Carl Dahlstrom, Sean Durzi, Milos Kelemen


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
1Americans31100100181531010000057-221000100138530.5001830480074948351006606506842110737505414214.29%15380.00%2685134450.97%621130647.55%515102550.24%125471112555441055524
2Barracuda1010000045-1000000000001010000045-100.000471100749483535660650684212815413300.00%20100.00%0685134450.97%621130647.55%515102550.24%125471112555441055524
3Bears402010011017-720200000512-72000100155030.375101626007494835126660650684211315128924125.00%14285.71%0685134450.97%621130647.55%515102550.24%125471112555441055524
4Canucks20200000411-70000000000020200000411-700.00047110074948356966065068421632222399111.11%11463.64%0685134450.97%621130647.55%515102550.24%125471112555441055524
5Checkers1010000068-21010000068-20000000000000.0006915007494835376606506842140104164250.00%20100.00%0685134450.97%621130647.55%515102550.24%125471112555441055524
6Comets31200000181711010000057-2211000001310320.333183149007494835116660650684211133218567457.14%9455.56%0685134450.97%621130647.55%515102550.24%125471112555441055524
7Condors642000002021-133000000116531200000915-680.66720355500749483520666065068421208774210719421.05%21290.48%0685134450.97%621130647.55%515102550.24%125471112555441055524
8Crunch2110000079-2110000003211010000047-320.500710170074948355966065068421742312357114.29%6183.33%0685134450.97%621130647.55%515102550.24%125471112555441055524
9Eagles2110000078-1110000002111010000057-220.50071219007494835746606506842171331230700.00%6183.33%0685134450.97%621130647.55%515102550.24%125471112555441055524
10Firebirds1010000035-21010000035-20000000000000.0003580074948353366065068421351214236233.33%7271.43%0685134450.97%621130647.55%515102550.24%125471112555441055524
11Griffins211000001192110000007341010000046-220.5001117280074948356866065068421492110388225.00%50100.00%1685134450.97%621130647.55%515102550.24%125471112555441055524
12Gulls20200000410-61010000035-21010000015-400.00047110074948355566065068421681816385240.00%8275.00%0685134450.97%621130647.55%515102550.24%125471112555441055524
13Icehogs2100010011741000010034-11100000083530.75011203100749483572660650684215625144410220.00%6350.00%0685134450.97%621130647.55%515102550.24%125471112555441055524
14Islander33000000161332200000011921100000054161.0001626420074948351066606506842110632205716531.25%10370.00%0685134450.97%621130647.55%515102550.24%125471112555441055524
15Little Stars211000001110100000000000211000001110120.50011122300749483566660650684216014184013430.77%9277.78%0685134450.97%621130647.55%515102550.24%125471112555441055524
16Marlies21100000812-41010000029-71100000063320.500814220074948356966065068421753637303133.33%11281.82%0685134450.97%621130647.55%515102550.24%125471112555441055524
17Moose2010010069-32010010069-30000000000010.2506101600749483575660650684216813263310220.00%13192.31%0685134450.97%621130647.55%515102550.24%125471112555441055524
18Penguins11000000321000000000001100000032121.000358007494835306606506842128101222300.00%6183.33%0685134450.97%621130647.55%515102550.24%125471112555441055524
19Punishers3010200016160201010001011-11000100065140.6671627431074948351116606506842110229146417529.41%7357.14%0685134450.97%621130647.55%515102550.24%125471112555441055524
20Roadrunners20100001710-31000000156-11010000024-210.25071320007494835656606506842179152033300.00%10460.00%0685134450.97%621130647.55%515102550.24%125471112555441055524
21Rockets21100000710-31010000038-51100000042220.500711180074948357166065068421662618426116.67%9277.78%0685134450.97%621130647.55%515102550.24%125471112555441055524
22Senators311001001518-321000100121201010000036-330.50015254000749483596660650684218947365712541.67%18666.67%1685134450.97%621130647.55%515102550.24%125471112555441055524
23Thunderbirds5410000026188220000001266321000001412280.8002648740074948351756606506842118055288913430.77%14378.57%1685134450.97%621130647.55%515102550.24%125471112555441055524
24Wolfpack11000000835110000008350000000000021.00081523007494835366606506842129131013500.00%50100.00%0685134450.97%621130647.55%515102550.24%125471112555441055524
25Wranglers21100000844110000006151010000023-120.5008132100749483558660650684215516123411218.18%6183.33%0685134450.97%621130647.55%515102550.24%125471112555441055524
Total59242603402254267-1329131101301128134-630111502101126133-7600.508254425679107494835200866065068421198068249710992155224.19%2305277.39%5685134450.97%621130647.55%515102550.24%125471112555441055524
_Since Last GM Reset59242603402254267-1329131101301128134-630111502101126133-7600.508254425679107494835200866065068421198068249710992155224.19%2305277.39%5685134450.97%621130647.55%515102550.24%125471112555441055524
_Vs Conference37151303402160165-51885013018082-21978021018083-3420.56816026942910749483512676606506842112494173187091403525.00%1483675.68%4685134450.97%621130647.55%515102550.24%125471112555441055524
_Vs Division158501001565607520000028244833010012832-4190.6335699155007494835507660650684215191839828836925.00%49785.71%1685134450.97%621130647.55%515102550.24%125471112555441055524

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5960L125442567920081980682497109910
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5924263402254267
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2913111301128134
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3011152101126133
Derniers 10 matchs
WLOTWOTL SOWSOL
270100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2155224.19%2305277.39%5
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
660650684217494835
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
685134450.97%621130647.55%515102550.24%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
125471112555441055524


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
29Admirals4Bears3WXSommaire du match
321Bears5Admirals1LSommaire du match
532Admirals6Comets8LSommaire du match
745Condors3Admirals6WSommaire du match
850Admirals1Bears2LXXSommaire du match
1170Thunderbirds3Admirals4WSommaire du match
1383Admirals8Icehogs3WR1Sommaire du match
1492Admirals2Condors6LSommaire du match
17104Bears7Admirals4LSommaire du match
18113Admirals5Thunderbirds3WSommaire du match
20128Condors2Admirals3WSommaire du match
23146Condors1Admirals2WSommaire du match
25160Admirals2Roadrunners4LSommaire du match
27170Senators6Admirals5LXSommaire du match
29181Admirals8Americans2WR1Sommaire du match
31193Admirals5Condors3WSommaire du match
33203Roadrunners6Admirals5LXXSommaire du match
35215Admirals3Senators6LSommaire du match
36222Admirals5Americans6LXR1Sommaire du match
39234Senators6Admirals7WSommaire du match
40246Admirals5Islander4WSommaire du match
43257Admirals4Rockets2WSommaire du match
44265Moose3Admirals1LSommaire du match
47284Rockets8Admirals3LSommaire du match
49297Admirals6Punishers5WXSommaire du match
51310Wolfpack3Admirals8WSommaire du match
54330Admirals1Gulls5LSommaire du match
55338Punishers4Admirals5WXSommaire du match
58354Admirals1Canucks3LSommaire du match
59363Comets7Admirals5LSommaire du match
61377Admirals4Thunderbirds6LSommaire du match
63387Crunch2Admirals3WSommaire du match
65403Admirals6Marlies3WSommaire du match
67414Griffins3Admirals7WSommaire du match
68429Admirals5Eagles7LSommaire du match
70439Marlies9Admirals2LSommaire du match
72454Admirals5Thunderbirds3WSommaire du match
74465Firebirds5Admirals3LSommaire du match
77479Admirals4Little Stars8LSommaire du match
78490Admirals3Penguins2WSommaire du match
79494Wranglers1Admirals6WSommaire du match
83517Eagles1Admirals2WSommaire du match
86536Admirals7Little Stars2WSommaire du match
87546Islander5Admirals6WSommaire du match
90565Admirals3Canucks8LSommaire du match
91569Islander4Admirals5WSommaire du match
94590Icehogs4Admirals3LXR1Sommaire du match
95600Admirals4Griffins6LSommaire du match
98616Punishers7Admirals5LSommaire du match
100629Admirals2Condors6LSommaire du match
102644Gulls5Admirals3LSommaire du match
104655Admirals7Comets2WSommaire du match
105669Admirals4Barracuda5LSommaire du match
107675Checkers8Admirals6LSommaire du match
109691Admirals2Wranglers3LSommaire du match
111699Thunderbirds3Admirals8WSommaire du match
115726Americans7Admirals5LR1Sommaire du match
118743Moose6Admirals5LXSommaire du match
120755Admirals4Crunch7LSommaire du match
122765Admirals-Roadrunners-
123776Roadrunners-Admirals-
125785Admirals-Checkers-
127800Little Stars-Admirals-
131820Thunderbirds-Admirals-
133835Admirals-Comets-
135845Bears-Admirals-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
137861Admirals-Firebirds-
139872Penguins-Admirals-
140883Admirals-Moose-
142895Admirals-Icehogs-
144906Gulls-Admirals-
147919Admirals-Wolfpack-
149932Condors-Admirals-
152954Barracuda-Admirals-
154968Canucks-Admirals-
155970Admirals-Bears-
159992Admirals-Bears-
1621007Canucks-Admirals-
1641021Admirals-Icehogs-
1671038Bears-Admirals-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance53,17326,466
Assistance PCT91.68%91.26%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
11 2746 - 91.54% 173,096$5,019,789$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,263,401$ 2,462,500$ 2,462,500$ 800,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
14,571$ 1,679,810$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,904,058$ 49 19,305$ 945,945$




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