Please rotate your device to landscape mode for a better experience.
Connexion

Admirals
GP: 51 | W: 16 | L: 32 | OTL: 3 | P: 35
GF: 194 | GA: 273 | PP%: 24.39% | PK%: 69.79%
DG: Keith | Morale : 28 | Moyenne d’équipe : 57
Prochains matchs #586 vs Marlies

Centre de jeu
Admirals
16-32-3, 35pts
4
FINAL
3 Firebirds
20-32-2, 42pts
Team Stats
W2SéquenceL2
7-18-2Fiche domicile11-14-1
9-14-1Fiche domicile9-18-1
8-1-1Derniers 10 matchs0-9-1
3.80Buts par match 4.00
5.35Buts contre par match 4.63
24.39%Pourcentage en avantage numérique19.35%
69.79%Pourcentage en désavantage numérique76.07%
Barracuda
25-23-5, 55pts
2
FINAL
6 Admirals
16-32-3, 35pts
Team Stats
L2SéquenceW2
14-11-1Fiche domicile7-18-2
11-12-4Fiche domicile9-14-1
5-4-1Derniers 10 matchs8-1-1
3.42Buts par match 3.80
3.70Buts contre par match 5.35
21.37%Pourcentage en avantage numérique24.39%
78.52%Pourcentage en désavantage numérique69.79%
Admirals
16-32-3, 35pts
Jour 116
Marlies
36-15-3, 75pts
Statistiques d’équipe
W2SéquenceL1
7-18-2Fiche domicile18-6-2
9-14-1Fiche visiteur18-9-1
8-1-110 derniers matchs8-2-0
3.80Buts par match 4.37
5.35Buts contre par match 4.37
24.39%Pourcentage en avantage numérique26.72%
69.79%Pourcentage en désavantage numérique75.94%
Admirals
16-32-3, 35pts
Jour 119
Firebirds
20-32-2, 42pts
Statistiques d’équipe
W2SéquenceL2
7-18-2Fiche domicile11-14-1
9-14-1Fiche visiteur9-18-1
8-1-110 derniers matchs0-9-1
3.80Buts par match 4.00
5.35Buts contre par match 4.00
24.39%Pourcentage en avantage numérique19.35%
69.79%Pourcentage en désavantage numérique76.07%
Canucks
25-22-7, 57pts
Jour 120
Admirals
16-32-3, 35pts
Statistiques d’équipe
OTL1SéquenceW2
14-8-4Fiche domicile7-18-2
11-14-3Fiche visiteur9-14-1
4-4-210 derniers matchs8-1-1
4.07Buts par match 3.80
3.94Buts contre par match 3.80
30.83%Pourcentage en avantage numérique24.39%
78.33%Pourcentage en désavantage numérique69.79%
Meneurs d'équipe
Jonny BrodzinskiButs
Jonny Brodzinski
25
Frank NazarPasses
Frank Nazar
33
Frank NazarPoints
Frank Nazar
51
John HaydenPlus/Moins
John Hayden
0
Dennis HildebyVictoires
Dennis Hildeby
7
Elvis MerzlikinsPourcentage d’arrêts
Elvis Merzlikins
0.903

Statistiques d’équipe
Buts pour
194
3.80 GFG
Tirs pour
1682
32.98 Avg
Pourcentage en avantage numérique
24.4%
30 GF
Début de zone offensive
38.6%
Buts contre
273
5.35 GAA
Tirs contre
1846
36.20 Avg
Pourcentage en désavantage numérique
69.8%%
29 GA
Début de la zone défensive
38.0%
Informations de l'équipe

Directeur généralKeith
EntraîneurJacques Martin
DivisionMetropolitan
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure20
Limite contact 46 / 50
Espoirs6


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
1Frank Nazar (R)X100.00625687706878717062707165645560059650222500,000$
2Jonny BrodzinskiX100.00635595687569687462647360517574054650322500,000$
3Alexey ToropchenkoX100.00856186668171907150665269506366053640262500,000$
4Oskar Bäck (R)X100.00605594647369846067645272506266049610252600,000$
5Brett Berard (R)X100.00705588656165606750616458515860041590233500,000$
6Carl GrundstromX100.00855880637165715950615156506564048580282500,000$
7John HaydenX100.00736184588057545568525157507268071560302500,000$
8Devin KaplanX100.00503589577150515050505049505455030510223500,000$
9Danil GushchinX100.00505776515753535250494947506363030500233500,000$
10Joel HanleyX100.00706484626674726850625475558078053650341500,000$
11Henry ThrunX100.00686783637672766850635366556163049630241500,000$
12Ryan SheaX100.00625984627968646350555170556970048620282500,000$
13Isaiah George (R)X100.00595791617167616650585365555559052600213500,000$
14Ville Ottavainen (R)X100.00543595587750525050605049555970047540233500,000$
Rayé
1Elmer Soderblom (R)X100.00775887658971576650676259515861033620244500,000$
2Max SassonX100.00605099646465576558605759506262024580251500,000$
3Justin Robidas (R)X100.00503589576150515550505450515664019520223500,000$
4Jack FinleyX100.00503589578050505050505050505959020510232700,000$
5Alex Barré-BouletX100.00504353576250515050505050506564020510282500,000$
6Nikita GrebenkinX100.00595785587650514950504948506262016510222500,000$
7Nikita PrishchepovX100.00525089576950505050505050505355020510212500,000$
8Isak RosenX100.00505089576350514950505049505657019500222500,000$
MOYENNE D’ÉQUIPE100.0062528661716161595357545852626403957
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
1Elvis Merzlikins100.0076868273767778767658877273066730313500,000$
2Nikke Kokko (R)100.0050605971525249494950505252046530213500,000$
Rayé
1Spencer Martin100.0050646073504949494950596969021550301500,000$
2Dennis Hildeby (R)100.005163608352464646465050595907540243500,000$
MOYENNE D’ÉQUIPE100.005768657558565655555262636303559
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jacques Martin5050505050501CAN715500,000$


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
1Frank NazarAdmirals (NYI)C42183351-1220211051404810612.86%1288821.16391216811014685055.79%104500001.1501000321
2Alexey ToropchenkoAdmirals (NYI)RW42163349-1916090631113210014.41%1586020.4956111583000091056.06%6600001.1411000144
3Jonny BrodzinskiAdmirals (NYI)C42252449-2210014941755810814.29%1881319.38551031800001321156.48%94900011.2001000522
4Joel HanleyAdmirals (NYI)D4293039-18200996270184512.86%91108825.912571971000050100%000000.7200000730
5Brett BerardAdmirals (NYI)LW41142337-11204341133318110.53%1087521.3523521750003411038.57%7000000.8500000222
6Isaiah GeorgeAdmirals (NYI)D4272734-2860345060123111.67%6794522.513472580000053000%000000.7200000022
7Carl GrundstromAdmirals (NYI)RW42121830-252801052880214815.00%982519.641561479000040046.43%5600000.7300000142
8Henry ThrunAdmirals (NYI)D4262430-38140814952223411.54%67103424.633582174000051100%000000.5800000012
9Oskar BäckAdmirals (NYI)C42141529-27204311194218114.89%1375618.020224130000231159.54%74400000.7711000311
10Ryan SheaAdmirals (NYI)D4232023-2928052414821426.25%67100824.010441575000044010%000000.4600000032
11Cole SillingerNew York IslandersC/LW1510717-1220182676234613.16%436824.592028320110231041.67%2400010.9200000222
12Elmer SoderblomAdmirals (NYI)LW125813-800141128102017.86%126822.340111190001180052.63%1900000.9700000010
13Max SassonAdmirals (NYI)C267310-2206152281531.82%31786.8510112000020058.90%14600001.1200000003
14Ville OttavainenAdmirals (NYI)D42178-1080181562716.67%3171216.9600012201102500100.00%100000.2200000200
15John HaydenAdmirals (NYI)C165270001511931055.56%219011.9210136011072060.19%10300000.7300000100
16Nikita GrebenkinAdmirals (NYI)RW28145-246025121910185.26%342815.3000004000010050.00%2600000.2300000000
17Danil GushchinAdmirals (NYI)LW42325-3220301426112111.54%676418.200000251011220050.00%4600000.1300000001
18Devin KaplanAdmirals (NYI)RW16022-2205513170%025415.8900001000000027.27%2200000.1600000000
19Erik HaulaNew York IslandersLW2202-24027131315.38%74723.93000020000300100.00%200000.8400000000
20Isak RosenAdmirals (NYI)RW17000-600326330%11036.0600000000000050.00%20000000000000
Statistiques d’équipe totales ou en moyenne635158282440-3271540718762118135682613.38%4271241219.552849771958332351048214356.19%332100020.7124000272724
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
1Dennis HildebyAdmirals (NYI)3272220.8275.5414832113779400100311011
2Elvis MerzlikinsAdmirals (NYI)54010.9032.9930100151540000050000
3Spencer MartinAdmirals (NYI)63100.8325.5625900241430000.750461000
4Nikke KokkoAdmirals (NYI)151100.8844.93487004034600000040110
Statistiques d’équipe totales ou en moyenne58152430.8505.12253021216143700144242121


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 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
Alex Barré-BouletAdmirals (NYI)C281997-05-21CANNo178 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Lien / Lien NHL
Alexey ToropchenkoAdmirals (NYI)RW261999-06-25RUSNo222 Lbs6 ft6NoNoTrade2025-07-11NoNo2FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Lien / Lien NHL
Brett BerardAdmirals (NYI)LW232002-09-09USAYes175 Lbs5 ft9NoNoFree AgentNoNo32025-08-07FalseFalsePro & Farm500,000$50,000$18,333$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Carl GrundstromAdmirals (NYI)RW281997-12-01SWENo200 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Lien / Lien NHL
Danil GushchinAdmirals (NYI)LW232002-02-06RUSNo165 Lbs5 ft8NoNoTrade2024-12-31NoNo32024-08-13FalseFalsePro & Farm500,000$50,000$18,333$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Dennis HildebyAdmirals (NYI)G242001-08-19SWEYes224 Lbs6 ft7NoNoFree AgentNoNo32025-08-07FalseFalsePro & Farm500,000$50,000$18,333$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Devin KaplanAdmirals (NYI)RW222004-01-10USANo199 Lbs6 ft2NoNoFree AgentNoNo32025-08-09FalseFalsePro & Farm500,000$50,000$18,333$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Elmer SoderblomAdmirals (NYI)LW242001-07-05SWEYes246 Lbs6 ft8NoNoTrade2025-12-07NoNo42025-07-27FalseFalsePro & Farm500,000$50,000$18,333$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien / Lien NHL
Elvis MerzlikinsAdmirals (NYI)G311994-04-13LVANo190 Lbs6 ft3NoNoTrade2025-07-22NoNo32024-08-20FalseFalsePro & Farm500,000$50,000$18,333$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Frank NazarAdmirals (NYI)C222004-01-14USAYes190 Lbs5 ft10NoNoTrade2024-12-31NoNo2FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Lien / Lien NHL
Henry ThrunAdmirals (NYI)D242001-03-12USANo210 Lbs6 ft2NoNoTrade2024-12-31NoNo1FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Lien / Lien NHL
Isaiah GeorgeAdmirals (NYI)D212004-02-15CANYes196 Lbs6 ft1NoNoFree AgentNoNo32025-08-07FalseFalsePro & Farm500,000$50,000$18,333$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Isak RosenAdmirals (NYI)RW222003-03-15SWENo180 Lbs6 ft0NoNoTrade2025-06-22NoNo2FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Lien / Lien NHL
Jack FinleyAdmirals (NYI)C232002-09-02USANo220 Lbs6 ft6NoNoFree AgentNoNo22025-08-10FalseFalsePro & Farm700,000$70,000$25,667$No700,000$--------700,000$--------No--------Lien / Lien NHL
Joel HanleyAdmirals (NYI)D341991-06-08CANNo186 Lbs5 ft11NoNoAssign ManuallyNoNo12025-04-13FalseFalsePro & Farm500,000$0$0$No---------------------------Lien / Lien NHL
John HaydenAdmirals (NYI)C301995-02-14USANo223 Lbs6 ft3NoNoAssign ManuallyNoNo22025-06-14FalseFalsePro & Farm500,000$0$0$No500,000$-----------------No--------Lien / Lien NHL
Jonny BrodzinskiAdmirals (NYI)C321993-06-19USANo211 Lbs6 ft0NoNoAssign ManuallyNoNo22025-03-28FalseFalsePro & Farm500,000$0$0$No500,000$-----------------No--------Lien / Lien NHL
Justin RobidasAdmirals (NYI)C222003-03-13USAYes176 Lbs5 ft8NoNoFree AgentNoNo32025-08-07FalseFalsePro & Farm500,000$50,000$18,333$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Max SassonAdmirals (NYI)C252000-09-05USANo181 Lbs6 ft1NoNoFree AgentNoNo12025-08-19FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Lien / Lien NHL
Nikita GrebenkinAdmirals (NYI)RW222003-05-02RUSNo210 Lbs6 ft2NoNoFree AgentNoNo22025-08-07FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Lien / Lien NHL
Nikita PrishchepovAdmirals (NYI)C212004-02-20RUSNo194 Lbs6 ft1NoNoFree AgentNoNo22025-08-07FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Lien / Lien NHL
Nikke KokkoAdmirals (NYI)G212004-03-14FINYes184 Lbs6 ft3NoNoFree AgentNoNo32025-08-07FalseFalsePro & Farm500,000$50,000$18,333$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Oskar BäckAdmirals (NYI)C252000-03-12SWEYes202 Lbs6 ft4NoNoFree AgentNoNo22025-08-07FalseFalsePro & Farm600,000$60,000$22,000$No600,000$--------600,000$--------No--------Lien
Ryan SheaAdmirals (NYI)D281997-02-11USANo220 Lbs6 ft1NoNoAssign ManuallyNoNo22025-06-14FalseFalsePro & Farm500,000$0$0$No500,000$-----------------No--------Lien / Lien NHL
Spencer MartinAdmirals (NYI)G301995-06-08CANNo191 Lbs6 ft3NoNoFree AgentNoNo12025-07-23FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Lien / Lien NHL
Ville OttavainenAdmirals (NYI)D232002-08-12FINYes210 Lbs6 ft5NoNoFree AgentNoNo32025-08-07FalseFalsePro & Farm500,000$50,000$18,333$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2625.15199 Lbs6 ft22.27511,538$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brett BerardJonny BrodzinskiAlexey Toropchenko40122
2Danil GushchinFrank NazarCarl Grundstrom30122
3Brett BerardOskar BäckDevin Kaplan30122
4Brett BerardJohn HaydenAlexey Toropchenko0122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joel HanleyHenry Thrun40122
2Ryan SheaIsaiah George30122
3Ville OttavainenJoel Hanley20122
4Henry ThrunRyan Shea10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brett BerardJonny BrodzinskiAlexey Toropchenko60122
2Danil GushchinFrank NazarCarl Grundstrom40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joel HanleyHenry Thrun60122
2Ryan SheaIsaiah George40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jonny BrodzinskiBrett Berard60122
2Frank NazarDanil Gushchin40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joel HanleyHenry Thrun60122
2Ryan SheaIsaiah George40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jonny Brodzinski60122Joel HanleyHenry Thrun60122
2Frank Nazar40122Ryan SheaIsaiah George40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jonny BrodzinskiBrett Berard60122
2Frank NazarDanil Gushchin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joel HanleyHenry Thrun60122
2Ryan SheaIsaiah George40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett BerardJonny BrodzinskiAlexey ToropchenkoJoel HanleyHenry Thrun
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett BerardJonny BrodzinskiAlexey ToropchenkoJoel HanleyHenry Thrun
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brett Berard, Carl Grundstrom, John HaydenBrett Berard, Carl GrundstromBrett Berard
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Shea, Isaiah George, Ville OttavainenRyan SheaRyan Shea, Isaiah George
Tirs de pénalité
Jonny Brodzinski, Alexey Toropchenko, Frank Nazar, Oskar Bäck, Brett Berard
Gardien
#1 : Elvis Merzlikins, #2 : Nikke Kokko


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
1Aces1000010023-11000010023-10000000000010.5002350076684832454057255717246216100.00%10100.00%0875165153.00%858162552.80%53099853.11%12498811164350659333
2Americiens210001001212000000000000210001001212030.750122133007668483815405725571784384428450.00%2150.00%0875165153.00%858162552.80%53099853.11%12498811164350659333
3Barons2110000049-51010000017-61100000032120.500481200766848342540572557175612026200.00%000%0875165153.00%858162552.80%53099853.11%12498811164350659333
4Barracuda11000000624110000006240000000000021.000610160076684832454057255717275217100.00%10100.00%0875165153.00%858162552.80%53099853.11%12498811164350659333
5Broncos413000001011-1312000009631010000015-420.2501019290176684838554057255717882822537457.14%10280.00%0875165153.00%858162552.80%53099853.11%12498811164350659333
6Bruins2110000067-1000000000002110000067-120.50061117007668483485405725571746241037100.00%40100.00%0875165153.00%858162552.80%53099853.11%12498811164350659333
7Butter Knives412001001626-1020100100712-521100000914-530.3751626420076684831265405725571719652267812433.33%12375.00%1875165153.00%858162552.80%53099853.11%12498811164350659333
8Fighting Pandas321000001011-12110000068-21100000043140.66710182800766848370540572557178325643600.00%20100.00%0875165153.00%858162552.80%53099853.11%12498811164350659333
9Firebirds422000002127-6211000001316-321100000811-340.500213960007668483161540572557171504716829222.22%8275.00%1875165153.00%858162552.80%53099853.11%12498811164350659333
10Griffins606000002341-18505000002034-141010000037-400.00023446710766848325354057255717302792613415320.00%13469.23%1875165153.00%858162552.80%53099853.11%12498811164350659333
11Ice Bats302000101417-320100010910-11010000057-220.33314233700766848310354057255717119264487228.57%2150.00%0875165153.00%858162552.80%53099853.11%12498811164350659333
12Lions11000000761110000007610000000000021.00071219007668483315405725571734154253133.33%20100.00%0875165153.00%858162552.80%53099853.11%12498811164350659333
13Lynx20200000713-61010000056-11010000027-500.0007132000766848389540572557178329841400.00%4325.00%0875165153.00%858162552.80%53099853.11%12498811164350659333
14Marlies21100000880110000004311010000045-120.5008142200766848351540572557174718163112541.67%7185.71%0875165153.00%858162552.80%53099853.11%12498811164350659333
15Nordiks1010000028-6000000000001010000028-600.000235007668483225405725571745202193133.33%10100.00%0875165153.00%858162552.80%53099853.11%12498811164350659333
16Quacken20200000313-101010000027-51010000016-500.000369007668483465405725571763181234100.00%6433.33%0875165153.00%858162552.80%53099853.11%12498811164350659333
17Roadrunners504010001825-720200000611-5302010001214-220.2001832500076684831465405725571715455267313323.08%13561.54%0875165153.00%858162552.80%53099853.11%12498811164350659333
18Tomahawks2110000089-11010000037-41100000052320.50081523007668483835405725571783190497114.29%000%0875165153.00%858162552.80%53099853.11%12498811164350659333
19Wombats312000001216-41010000036-321100000910-120.33312233500766848315654057255717111241473800.00%7357.14%0875165153.00%858162552.80%53099853.11%12498811164350659333
20Wranglers1010000059-4000000000001010000059-400.00059140076684834154057255717518219300.00%10100.00%0875165153.00%858162552.80%53099853.11%12498811164350659333
Total51143201310194273-792761800210103144-41248140110091129-38350.34319434954311766848316825405725571718465482029401233024.39%962969.79%3875165153.00%858162552.80%53099853.11%12498811164350659333
_Since Last GM Reset51143201310194273-792761800210103144-41248140110091129-38350.34319434954311766848316825405725571718465482029401233024.39%962969.79%3875165153.00%858162552.80%53099853.11%12498811164350659333
_Vs Conference31101801200120156-361449001005368-151769011006788-21240.3871202163360176684831013540572557171042340148553802227.50%692071.01%2875165153.00%858162552.80%53099853.11%12498811164350659333
_Vs Division17411010006695-291126000004562-17625010002133-12100.29466125191117668483655540572557176511787834239923.08%381171.05%2875165153.00%858162552.80%53099853.11%12498811164350659333

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5135W21943495431682184654820294011
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5114321310194273
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
276180210103144
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
24814110091129
Derniers 10 matchs
WLOTWOTL SOWSOL
611110
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1233024.39%962969.79%3
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
540572557177668483
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
875165153.00%858162552.80%53099853.11%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12498811164350659333


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
312Lynx6Admirals5LSommaire du match
625Griffins6Admirals4LSommaire du match
835Admirals5Wombats4WSommaire du match
1044Admirals2Lynx7LSommaire du match
1255Griffins8Admirals5LSommaire du match
1467Wombats6Admirals3LSommaire du match
1675Admirals4Firebirds8LSommaire du match
1782Admirals4Wombats6LSommaire du match
2099Roadrunners5Admirals3LSommaire du match
21103Admirals2Bruins4LSommaire du match
24116Griffins8Admirals6LSommaire du match
26127Admirals2Roadrunners3LSommaire du match
29139Firebirds7Admirals8WSommaire du match
33159Broncos3Admirals2LSommaire du match
35170Admirals3Roadrunners5LSommaire du match
38179Butter Knives4Admirals3LXSommaire du match
41195Admirals2Nordiks8LSommaire du match
43204Firebirds9Admirals5LSommaire du match
45209Admirals1Quacken6LSommaire du match
47223Tomahawks7Admirals3LSommaire du match
49233Admirals5Wranglers9LSommaire du match
50244Barons7Admirals1LSommaire du match
52254Admirals3Barons2WSommaire du match
54268Marlies3Admirals4WSommaire du match
56278Admirals4Fighting Pandas3WSommaire du match
58289Quacken7Admirals2LSommaire du match
61303Admirals3Griffins7LSommaire du match
62310Admirals3Butter Knives9LSommaire du match
65320Butter Knives8Admirals4LSommaire du match
67334Griffins7Admirals4LSommaire du match
69340Admirals5Ice Bats7LSommaire du match
71354Admirals8Americiens7WSommaire du match
73363Griffins5Admirals1LSommaire du match
75373Admirals4Marlies5LSommaire du match
76378Admirals1Broncos5LSommaire du match
78389Broncos0Admirals5WSommaire du match
81403Admirals4Bruins3WSommaire du match
82413Broncos3Admirals2LSommaire du match
84425Roadrunners6Admirals3LSommaire du match
89445Ice Bats6Admirals4LSommaire du match
93464Admirals4Americiens5LXSommaire du match
94468Ice Bats4Admirals5WXXSommaire du match
98485Admirals7Roadrunners6WXSommaire du match
99492Fighting Pandas6Admirals3LSommaire du match
102509Lions6Admirals7WSommaire du match
104518Admirals5Tomahawks2WSommaire du match
106531Admirals6Butter Knives5WSommaire du match
107535Fighting Pandas2Admirals3WSommaire du match
110553Aces3Admirals2LXSommaire du match
112565Admirals4Firebirds3WSommaire du match
113576Barracuda2Admirals6WSommaire du match
116586Admirals-Marlies-
119597Admirals-Firebirds-
120604Canucks-Admirals-
122620Wranglers-Admirals-
124628Admirals-Tomahawks-
126641Roadrunners-Admirals-
131662Firebirds-Admirals-
133679Admirals-Canucks-
134684Americiens-Admirals-
137696Admirals-Canucks-
139705Admirals-Lions-
140711Bruins-Admirals-
143727Lynx-Admirals-
145736Admirals-Broncos-
147744Admirals-Barracuda-
148753Americiens-Admirals-
150765Admirals-Fighting Pandas-
152776Lynx-Admirals-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155789Admirals-Bruins-
156794Admirals-Wombats-
157799Admirals-Broncos-
158803Marlies-Admirals-
161820Admirals-Aces-
162824Nordiks-Admirals-
164837Admirals-Wombats-
166842Admirals-Aces-
167847Admirals-Lynx-
169855Wombats-Admirals-
172871Admirals-Lynx-
174879Wombats-Admirals-
178895Bruins-Admirals-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
14 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,109,832$ 1,330,000$ 1,130,000$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
1,130,000$ 666,486$ 26 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 66 10,167$ 671,022$




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