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Admirals
GP: 61 | W: 21 | L: 37 | OTL: 3 | P: 45
GF: 229 | GA: 306 | PP%: 24.29% | PK%: 69.23%
DG: Keith | Morale : 28 | Moyenne d’équipe : 58
Prochains matchs #705 vs Lions

Centre de jeu
Americiens
36-23-3, 75pts
8
FINAL
6 Admirals
21-37-3, 45pts
Team Stats
W3SéquenceW1
18-12-2Fiche domicile9-21-2
18-11-1Fiche domicile12-16-1
6-3-1Derniers 10 matchs5-5-0
5.03Buts par match 3.75
4.69Buts contre par match 5.02
24.44%Pourcentage en avantage numérique24.29%
71.52%Pourcentage en désavantage numérique69.23%
Admirals
21-37-3, 45pts
4
FINAL
1 Canucks
29-29-7, 65pts
Team Stats
W1SéquenceL7
9-21-2Fiche domicile16-12-4
12-16-1Fiche domicile13-17-3
5-5-0Derniers 10 matchs3-7-0
3.75Buts par match 3.92
5.02Buts contre par match 3.97
24.29%Pourcentage en avantage numérique30.20%
69.23%Pourcentage en désavantage numérique76.71%
Admirals
21-37-3, 45pts
Jour 139
Lions
28-38-0, 56pts
Statistiques d’équipe
W1SéquenceL1
9-21-2Fiche domicile16-15-0
12-16-1Fiche visiteur12-23-0
5-5-010 derniers matchs3-7-0
3.75Buts par match 4.71
5.02Buts contre par match 4.71
24.29%Pourcentage en avantage numérique21.53%
69.23%Pourcentage en désavantage numérique74.05%
Bruins
20-37-9, 49pts
Jour 140
Admirals
21-37-3, 45pts
Statistiques d’équipe
L1SéquenceW1
8-19-5Fiche domicile9-21-2
12-18-4Fiche visiteur12-16-1
6-3-110 derniers matchs5-5-0
3.64Buts par match 3.75
4.80Buts contre par match 3.75
23.57%Pourcentage en avantage numérique24.29%
72.83%Pourcentage en désavantage numérique69.23%
Lynx
33-28-1, 67pts
Jour 143
Admirals
21-37-3, 45pts
Statistiques d’équipe
L8SéquenceW1
15-16-1Fiche domicile9-21-2
18-12-0Fiche visiteur12-16-1
1-9-010 derniers matchs5-5-0
3.90Buts par match 3.75
3.79Buts contre par match 3.75
30.00%Pourcentage en avantage numérique24.29%
84.85%Pourcentage en désavantage numérique69.23%
Meneurs d'équipe
Jonny BrodzinskiButs
Jonny Brodzinski
32
Alexey ToropchenkoPasses
Alexey Toropchenko
40
Jonny BrodzinskiPoints
Jonny Brodzinski
61
John HaydenPlus/Moins
John Hayden
1
Elvis MerzlikinsVictoires
Elvis Merzlikins
9
Elvis MerzlikinsPourcentage d’arrêts
Elvis Merzlikins
0.895

Statistiques d’équipe
Buts pour
229
3.75 GFG
Tirs pour
1953
32.02 Avg
Pourcentage en avantage numérique
24.3%
34 GF
Début de zone offensive
38.5%
Buts contre
306
5.02 GAA
Tirs contre
2131
34.93 Avg
Pourcentage en désavantage numérique
69.2%%
32 GA
Début de la zone défensive
38.4%
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)X100.00625687706878717063707165645661065650222500,000$
2Jonny BrodzinskiX100.00635596687569687463647360517675061650322500,000$
3Alexey ToropchenkoX100.00856187668171907150675269506467057640262500,000$
4Oskar Bäck (R)X100.00605594647369846067645272506367054610252600,000$
5Brett Berard (R)X100.00705588656165606750616557515960044590233500,000$
6Carl GrundstromX100.00855880637165715950625255506665052580282500,000$
7John HaydenX100.00736184588057545568525156507269074560312500,000$
8Devin KaplanX100.00503589587250515050505049505456035510223500,000$
9Danil GushchinX100.00505776515753535250494947506464032500243500,000$
10Joel HanleyX100.00706484626674726950625476558179058660341500,000$
11Henry ThrunX100.00686784637672766950635365556264052630241500,000$
12Ryan SheaX100.00625984627968646350565270557071053620292500,000$
13Isaiah George (R)X100.00595791617167616650595465555660058600223500,000$
14Ville Ottavainen (R)X100.00543595587750525050605049556071051540233500,000$
Rayé
1Elmer Soderblom (R)X100.00775887658971576650676259515861023620244500,000$
2Max SassonX100.00605099646465576558605759506262019580251500,000$
3Justin Robidas (R)X100.00503589576150515550505450515664019520223500,000$
4Jack FinleyX100.00503589578050505050505050505959020510232700,000$
5Alex Barré-BouletX100.00504353576250515050505050506564020510282500,000$
6Nikita GrebenkinX100.00595785587650514950504948506262016510222500,000$
7Nikita PrishchepovX100.00525089576950505050505050505355020510222500,000$
8Isak RosenX100.00505089576350514950505049505657019500222500,000$
MOYENNE D’ÉQUIPE100.0062528661716161605358555852626404157
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 Merzlikins100.0076868273767779767658877273066730313500,000$
2Spencer Martin100.0050646073504949494950596969025550301500,000$
Rayé
1Dennis Hildeby (R)100.005163608352464646465050595907540243500,000$
2Nikke Kokko (R)100.0050605971525249494950505252041530213500,000$
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
1Jonny BrodzinskiAdmirals (NYI)C52322961-19100171172227014114.41%20103119.84661233930001382256.26%117500011.1801000634
2Frank NazarAdmirals (NYI)C52233659-1520231321805813812.78%18111221.38391219981014747155.15%129100001.0601000521
3Alexey ToropchenkoAdmirals (NYI)RW52194059-21200112901374312513.87%19107520.6956111898000091054.32%8100001.1011000244
4Joel HanleyAdmirals (NYI)D52103848-202751227682245512.20%118134325.842682284000056100%000000.7100001740
5Brett BerardAdmirals (NYI)LW51192746-13205648161369111.80%12112422.0423523870003482042.68%8200010.8200000332
6Isaiah GeorgeAdmirals (NYI)D52103242-2760465777173612.99%75116622.444610299300006000100.00%100000.7200000033
7Carl GrundstromAdmirals (NYI)RW52162339-2430013639103286615.53%9104520.112791694000050042.47%7300000.7500000152
8Henry ThrunAdmirals (NYI)D5263238-42180104606224459.68%81127624.553692288000055100%000000.6000000023
9Oskar BäckAdmirals (NYI)C52162036-252051145120279413.33%1893017.890224150000231158.77%92400100.7711000321
10Ryan SheaAdmirals (NYI)D5242731-2630062516527556.15%79124623.971561888000050010%100000.5000000132
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)D521910-680261884712.50%3787916.9200012701102800100.00%100000.2300000200
15John HaydenAdmirals (NYI)C2672912020191851738.89%332712.60101313011082057.55%13900000.5500000101
16Devin KaplanAdmirals (NYI)RW2625702010111711211.76%141816.0800004000001036.67%3000000.3300000101
17Danil GushchinAdmirals (NYI)LW52336-302032163112229.68%797518.750000371012260049.21%6300000.1200000001
18Nikita GrebenkinAdmirals (NYI)RW28145-246025121910185.26%342815.3000004000010050.00%2600000.2300000000
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 moyenne775193345538-32117558859521447431100913.34%5161534919.813257892189872351153519555.69%408000130.7024001343430
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
1Elvis MerzlikinsAdmirals (NYI)159510.8953.08878004542900100150101
2Dennis HildebyAdmirals (NYI)3272220.8275.5414832113779400100311011
3Spencer MartinAdmirals (NYI)73100.8295.5528100261520000.7504610000
4Nikke KokkoAdmirals (NYI)151100.8844.93487004034600000041110
Statistiques d’équipe totales ou en moyenne69202930.8564.75313021248172100245252222


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$11,667$No500,000$--------500,000$--------No--------Lien / Lien NHL
Alexey ToropchenkoAdmirals (NYI)RW261999-06-25RUSNo222 Lbs6 ft6NoNoTrade2025-07-11NoNo2FalseFalsePro & Farm500,000$50,000$11,667$No500,000$--------500,000$--------No--------Lien / Lien NHL
Brett BerardAdmirals (NYI)LW232002-09-09USAYes175 Lbs5 ft9NoNoFree AgentNoNo32025-08-07FalseFalsePro & Farm500,000$50,000$11,667$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$11,667$No500,000$--------500,000$--------No--------Lien / Lien NHL
Danil GushchinAdmirals (NYI)LW242002-02-06RUSNo165 Lbs5 ft8NoNoTrade2024-12-31NoNo32024-08-13FalseFalsePro & Farm500,000$50,000$11,667$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$11,667$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$11,667$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$11,667$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$11,667$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$11,667$No500,000$--------500,000$--------No--------Lien / Lien NHL
Henry ThrunAdmirals (NYI)D242001-03-12USANo210 Lbs6 ft2NoNoTrade2024-12-31NoNo1FalseFalsePro & Farm500,000$50,000$11,667$No---------------------------Lien / Lien NHL
Isaiah GeorgeAdmirals (NYI)D222004-02-15CANYes196 Lbs6 ft1NoNoFree AgentNoNo32025-08-07FalseFalsePro & Farm500,000$50,000$11,667$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$11,667$No500,000$--------500,000$--------No--------Lien / Lien NHL
Jack FinleyAdmirals (NYI)C232002-09-02USANo220 Lbs6 ft6NoNoFree AgentNoNo22025-08-10FalseFalsePro & Farm700,000$70,000$16,333$No700,000$--------700,000$--------No--------Lien / Lien NHL
Joel HanleyAdmirals (NYI)D341991-06-08CANNo186 Lbs5 ft11NoNoAssign ManuallyNoNo12025-04-13FalseFalsePro & Farm500,000$50,000$11,667$No---------------------------Lien / Lien NHL
John HaydenAdmirals (NYI)C311995-02-14USANo223 Lbs6 ft3NoNoAssign ManuallyNoNo22025-06-14FalseFalsePro & Farm500,000$50,000$11,667$No500,000$-----------------No--------Lien / Lien NHL
Jonny BrodzinskiAdmirals (NYI)C321993-06-19USANo211 Lbs6 ft0NoNoAssign ManuallyNoNo22025-03-28FalseFalsePro & Farm500,000$50,000$11,667$No500,000$-----------------No--------Lien / Lien NHL
Justin RobidasAdmirals (NYI)C222003-03-13USAYes176 Lbs5 ft8NoNoFree AgentNoNo32025-08-07FalseFalsePro & Farm500,000$50,000$11,667$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$11,667$No---------------------------Lien / Lien NHL
Nikita GrebenkinAdmirals (NYI)RW222003-05-02RUSNo210 Lbs6 ft2NoNoFree AgentNoNo22025-08-07FalseFalsePro & Farm500,000$50,000$11,667$No500,000$--------500,000$--------No--------Lien / Lien NHL
Nikita PrishchepovAdmirals (NYI)C222004-02-20RUSNo194 Lbs6 ft1NoNoFree AgentNoNo22025-08-07FalseFalsePro & Farm500,000$50,000$11,667$No500,000$--------500,000$--------No--------Lien / Lien NHL
Nikke KokkoAdmirals (NYI)G212004-03-14FINYes184 Lbs6 ft3NoNoFree AgentNoNo32025-08-07FalseFalsePro & Farm500,000$50,000$11,667$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$14,000$No600,000$--------600,000$--------No--------Lien
Ryan SheaAdmirals (NYI)D291997-02-11USANo220 Lbs6 ft1NoNoAssign ManuallyNoNo22025-06-14FalseFalsePro & Farm500,000$50,000$11,667$No500,000$-----------------No--------Lien / Lien NHL
Spencer MartinAdmirals (NYI)G301995-06-08CANNo191 Lbs6 ft3NoNoFree AgentNoNo12025-07-23FalseFalsePro & Farm500,000$50,000$11,667$No---------------------------Lien / Lien NHL
Ville OttavainenAdmirals (NYI)D232002-08-12FINYes210 Lbs6 ft5NoNoFree AgentNoNo32025-08-07FalseFalsePro & Farm500,000$50,000$11,667$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2625.35199 Lbs6 ft22.27511,538$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brett BerardFrank NazarAlexey Toropchenko40122
2Danil GushchinJonny BrodzinskiCarl 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 BerardFrank NazarAlexey Toropchenko60122
2Danil GushchinJonny BrodzinskiCarl Grundstrom40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joel HanleyHenry Thrun60122
2Ryan SheaIsaiah George40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Frank NazarBrett Berard60122
2Jonny BrodzinskiDanil 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
1Frank Nazar60122Joel HanleyHenry Thrun60122
2Jonny Brodzinski40122Ryan SheaIsaiah George40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Frank NazarBrett Berard60122
2Jonny BrodzinskiDanil Gushchin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joel HanleyHenry Thrun60122
2Ryan SheaIsaiah George40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett BerardFrank NazarAlexey ToropchenkoJoel HanleyHenry Thrun
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett BerardFrank NazarAlexey 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
Frank Nazar, Jonny Brodzinski, Alexey Toropchenko, Oskar Bäck, Brett Berard
Gardien
#1 : Elvis Merzlikins, #2 : Spencer Martin


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
1Aces1000010023-11000010023-10000000000010.5002350091766032462765565817246216100.00%10100.00%01019193952.55%1028193153.24%623116453.52%148710481397420788398
2Americiens311001001820-21010000068-2210001001212030.500183250109176603119627655658171305946510550.00%2150.00%01019193952.55%1028193153.24%623116453.52%148710481397420788398
3Barons2110000049-51010000017-61100000032120.500481200917660342627655658175612026200.00%000%01019193952.55%1028193153.24%623116453.52%148710481397420788398
4Barracuda11000000624110000006240000000000021.000610160091766032462765565817275217100.00%10100.00%01019193952.55%1028193153.24%623116453.52%148710481397420788398
5Broncos413000001011-1312000009631010000015-420.2501019290191766038562765565817882822537457.14%10280.00%01019193952.55%1028193153.24%623116453.52%148710481397420788398
6Bruins2110000067-1000000000002110000067-120.50061117009176603486276556581746241037100.00%40100.00%01019193952.55%1028193153.24%623116453.52%148710481397420788398
7Butter Knives412001001626-1020100100712-521100000914-530.3751626420091766031266276556581719652267812433.33%12375.00%11019193952.55%1028193153.24%623116453.52%148710481397420788398
8Canucks3210000011651010000024-22200000092740.66711213200917660377627655658176925745400.00%10100.00%01019193952.55%1028193153.24%623116453.52%148710481397420788398
9Fighting Pandas321000001011-12110000068-21100000043140.66710182800917660370627655658178325643600.00%20100.00%01019193952.55%1028193153.24%623116453.52%148710481397420788398
10Firebirds642000002931-2321000001718-1321000001213-180.66729548300917660320862765565817194552010812325.00%10370.00%11019193952.55%1028193153.24%623116453.52%148710481397420788398
11Griffins606000002341-18505000002034-141010000037-400.00023446710917660325362765565817302792613415320.00%13469.23%11019193952.55%1028193153.24%623116453.52%148710481397420788398
12Ice Bats302000101417-320100010910-11010000057-220.33314233700917660310362765565817119264487228.57%2150.00%01019193952.55%1028193153.24%623116453.52%148710481397420788398
13Lions11000000761110000007610000000000021.00071219009176603316276556581734154253133.33%20100.00%01019193952.55%1028193153.24%623116453.52%148710481397420788398
14Lynx20200000713-61010000056-11010000027-500.0007132000917660389627655658178329841400.00%4325.00%01019193952.55%1028193153.24%623116453.52%148710481397420788398
15Marlies312000001011-1110000004312020000068-220.33310172700917660372627655658177722204514535.71%9277.78%01019193952.55%1028193153.24%623116453.52%148710481397420788398
16Nordiks1010000028-6000000000001010000028-600.000235009176603226276556581745202193133.33%10100.00%01019193952.55%1028193153.24%623116453.52%148710481397420788398
17Quacken20200000313-101010000027-51010000016-500.000369009176603466276556581763181234100.00%6433.33%01019193952.55%1028193153.24%623116453.52%148710481397420788398
18Roadrunners605010002132-1130300000918-9302010001214-220.1672137580091766031716276556581718064269216425.00%13561.54%01019193952.55%1028193153.24%623116453.52%148710481397420788398
19Tomahawks31200000912-31010000037-42110000065120.3339172600917660311462765565817125356748112.50%3166.67%01019193952.55%1028193153.24%623116453.52%148710481397420788398
20Wombats312000001216-41010000036-321100000910-120.33312233500917660315662765565817111241473800.00%7357.14%01019193952.55%1028193153.24%623116453.52%148710481397420788398
21Wranglers21100000911-2110000004221010000059-420.50091625009176603736276556581779162355120.00%10100.00%01019193952.55%1028193153.24%623116453.52%148710481397420788398
Total61193701310229306-773282100210122167-4529111601100107139-32450.369229413642219176603195362765565817213163922311081403424.29%1043269.23%31019193952.55%1028193153.24%623116453.52%148710481397420788398
_Since Last GM Reset61193701310229306-773282100210122167-4529111601100107139-32450.369229413642219176603195362765565817213163922311081403424.29%1043269.23%31019193952.55%1028193153.24%623116453.52%148710481397420788398
_Vs Conference36122101200139178-3917511001006685-1919710011007393-20280.3891392503891191766031144627655658171188382156635902527.78%732269.86%21019193952.55%1028193153.24%623116453.52%148710481397420788398
_Vs Division19612010007499-251237000004964-15735010002535-10140.368741402141191766037026276556581769518682368421023.81%401270.00%21019193952.55%1028193153.24%623116453.52%148710481397420788398

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6145W122941364219532131639223110821
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6119371310229306
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
328210210122167
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2911161100107139
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1403424.29%1043269.23%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
627655658179176603
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
1019193952.55%1028193153.24%623116453.52%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
148710481397420788398


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
116586Admirals2Marlies3LSommaire du match
119597Admirals4Firebirds2WSommaire du match
120604Canucks4Admirals2LSommaire du match
122620Wranglers2Admirals4WSommaire du match
124628Admirals1Tomahawks3LSommaire du match
126641Roadrunners7Admirals3LSommaire du match
131662Firebirds2Admirals4WSommaire du match
133679Admirals5Canucks1WSommaire du match
134684Americiens8Admirals6LSommaire du match
137696Admirals4Canucks1WSommaire du match
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
9 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,353,840$ 1,330,000$ 1,330,000$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
1,330,000$ 823,824$ 26 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 42 10,167$ 427,014$




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