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Admirals
GP: 3 | W: 0 | L: 3 | OTL: 0 | P: 0
GF: 7 | GA: 19 | PP%: 14.29% | PK%: 61.54%
DG: NFHL | Morale : 96 | Moyenne d’équipe : N/A
Prochains matchs #56 vs Blossom Bytes

Centre de jeu
Admirals
0-3-0, 0pts
2
FINAL
5 Bears
2-1-0, 4pts
Team Stats
L3SéquenceW1
0-2-0Fiche domicile2-0-0
0-1-0Fiche domicile0-1-0
0-3-0Derniers 10 matchs2-1-0
2.33Buts par match 4.67
6.33Buts contre par match 3.00
14.29%Pourcentage en avantage numérique80.00%
61.54%Pourcentage en désavantage numérique83.33%
Rams
3-0-0, 6pts
7
FINAL
2 Admirals
0-3-0, 0pts
Team Stats
W3SéquenceL3
2-0-0Fiche domicile0-2-0
1-0-0Fiche domicile0-1-0
3-0-0Derniers 10 matchs0-3-0
5.33Buts par match 2.33
2.33Buts contre par match 6.33
50.00%Pourcentage en avantage numérique14.29%
90.00%Pourcentage en désavantage numérique61.54%
Admirals
0-3-0, 0pts
Jour 8
Blossom Bytes
3-0-0, 6pts
Statistiques d’équipe
L3SéquenceW3
0-2-0Fiche domicile1-0-0
0-1-0Fiche visiteur2-0-0
0-3-010 derniers matchs3-0-0
2.33Buts par match 5.00
6.33Buts contre par match 5.00
14.29%Pourcentage en avantage numérique22.73%
61.54%Pourcentage en désavantage numérique86.67%
Penguins
1-2-0, 2pts
Jour 10
Admirals
0-3-0, 0pts
Statistiques d’équipe
L2SéquenceL3
0-1-0Fiche domicile0-2-0
1-1-0Fiche visiteur0-1-0
1-2-010 derniers matchs0-3-0
2.00Buts par match 2.33
3.00Buts contre par match 2.33
23.08%Pourcentage en avantage numérique14.29%
83.33%Pourcentage en désavantage numérique61.54%
Gulls
2-1-0, 4pts
Jour 14
Admirals
0-3-0, 0pts
Statistiques d’équipe
W2SéquenceL3
2-0-0Fiche domicile0-2-0
0-1-0Fiche visiteur0-1-0
2-1-010 derniers matchs0-3-0
4.33Buts par match 2.33
3.33Buts contre par match 2.33
17.65%Pourcentage en avantage numérique14.29%
62.50%Pourcentage en désavantage numérique61.54%
Meneurs d'équipe
Buts
Vladislav Kolyachonok
2
Passes
Filip Zadina
4
Points
Filip Zadina
5
Plus/Moins
Eriks Mateiko
1
Victoires
Marcus Hogberg
0
Pourcentage d’arrêts
Marcus Hogberg
0.82

Statistiques d’équipe
Buts pour
7
2.33 GFG
Tirs pour
106
35.33 Avg
Pourcentage en avantage numérique
14.3%
2 GF
Début de zone offensive
34.4%
Buts contre
19
6.33 GAA
Tirs contre
102
34.00 Avg
Pourcentage en désavantage numérique
61.5%%
5 GA
Début de la zone défensive
32.3%
Informations de l'équipe

Directeur généralNFHL
EntraîneurAnders Sorensen
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1Evan Barratt
Assistant #2


Informations de l’aréna

Capacité8,000
Assistance7,844
Billets de saison800


Informations de la formation

Équipe Pro34
Équipe Mineure20
Limite contact 54 / 65
Espoirs18


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
1Valtteri PuustinenXX100.00605094716976896861686767655062093002511,400,000$
2Egor SokolovXX100.00606060606070706060606060605157096002411,312,500$
3Shane BowersX100.00685091627175926261636171655262096002511,519,383$
4Filip ZadinaXX100.00675093797280707361677169675359086002511,900,000$
5Arseny GritsyukXX100.0060606060607070606060606060405509600232735,000$
6Judd CaulfieldXX100.0060606060607070606060606060405509600231866,250$
7Brad LambertX100.00625091706778916464666268654055096002111,500,000$
8Landon SlaggertXX100.00675489736979917061666670654055096002231,350,000$
9Ty MuellerXXX100.0060509270707791637164627065405509601212825,000$
10Eriks Mateiko (R)XX98.4260606060607070606060606060465508800193825,000$
11Hunter St. Martin (R)X100.0060606060607070606060606060485509600193650,000$
12Vladislav KolyachonokX100.00675093787480807325676870655060096002321,000,000$
13Jacob BengtssonX100.0060606060607070606060606060405509300251682,500$
14Eemil ViroX100.00606060606070706060606060604959088002211,023,750$
15Ilya SolovyovX100.0070509070798290642565627365535909600242771,750$
16Calle OdeliusX100.00606060606070706060606060604055096002011,250,000$
17Axel Sandin PellikkaX100.00606060606070706060606060604055096011921,500,000$
18Cade WebberX100.0060606060607070606060606060405509301231825,000$
Rayé
1Curtis DouglasX82.1760606060607070606060606060566208600241826,875$
2Samu TuomaalaXX83.73606060606070706060606060604055086002121,312,500$
3Josh DaviesXXX100.0060606060607070606060606060405509601202650,000$
4Justin ErtelXX100.0060606060607070606060606060405509601212975,000$
5Milo RoelensXXX100.0060606060607070606060606060405509600212750,000$
6Aleksanteri Kaskimaki (R)X100.00606060606070706060606060604655096002031,250,000$
7Isaac Howard (R)X100.00606060606070706060606060604655096002031,500,000$
8Jared Wright (R)X100.0060606060607070606060606060465509600222700,000$
9Mikhail Ilyin (R)XX100.0060606060607070606060606060465509600193750,000$
10Evan NauseXS1606060606070706060606060604055081002111,312,500$
11Ian MooreX100.00606060606070706060606060604055096012211,250,000$
12Zayne Parekh (R)X100.00606060606070706060606060604655096001831,500,000$
MOYENNE D’ÉQUIPE98.776157686363727462586261636145560940
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
1Marcus Hogberg100.0069767193626366636962716166096003011,000,000$
2Jiri Patera100.0060707060606060606060605265096002511,447,031$
Rayé
1Tristan Lennox100.006070706060606060606060405509800221975,000$
2Evan Gardner (R)100.006070706060606060606060445509800183975,000$
MOYENNE D’ÉQUIPE100.00627270686161626162616349600970
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Anders Sorensen7477748963681SWE502600,000$


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
1Filip ZadinaAdmirals (NSH)LW/RW3145-10023242124.17%26421.5311249011270041.67%1232001.5500000000
2Vladislav KolyachonokAdmirals (NSH)D320200027113518.18%58227.6500001200008000%062000.4800000000
3Landon SlaggertAdmirals (NSH)LW/RW3202-2755592822.22%05618.98101112101170066.67%310000.7000100000
4Ty MuellerAdmirals (NSH)C/LW/RW3112-3008532233.33%05618.84011012000070060.00%6521000.7100000000
5Jacob BengtssonAdmirals (NSH)D3011-51210421330%15117.290000401103000%012000.3900110000
6Eemil ViroAdmirals (NSH)D1011-100321010%12727.630110200004000%011000.7200000000
7Egor SokolovAdmirals (NSH)LW/RW2101-2757261316.67%12613.3500000000000050.00%200000.7500001000
8Evan NauseAdmirals (NSH)D2011-23410320000%22512.780110600001000%020000.7800020000
9Shane BowersAdmirals (NSH)C3011-4004583100%14214.1200000000000059.26%2711000.4700000000
10Cade WebberAdmirals (NSH)D2011-255142100%04020.090001800003000%001000.5000010000
11Eriks MateikoAdmirals (NSH)LW/RW1011155010000%033.20000000000000100.00%100006.2500001000
12Valtteri PuustinenAdmirals (NSH)LW/RW3000-2554310990%15919.96000012000050031.25%164000000010000
13Curtis DouglasAdmirals (NSH)C3000-100022010%0237.9400000000020052.38%210000000000000
14Ilya SolovyovAdmirals (NSH)D2000-100011010%15226.180000900003000%00400000000000
15Samu TuomaalaAdmirals (NSH)LW/RW2000-100341100%12512.9500000000000050.00%20100000000000
16Arseny GritsyukAdmirals (NSH)LW/RW2000-100414020%13517.850000800000000%00200000000000
17Judd CaulfieldAdmirals (NSH)LW/RW2000-220111110%1178.970000000000000%00100000000000
18Brad LambertAdmirals (NSH)C3000-2552610050%15217.35000112000000048.78%410000000100000
19Axel Sandin PellikkaAdmirals (NSH)D3000-300321120%04113.790000000001000%01100000000000
20Ian MooreAdmirals (NSH)D1000-100021000%21919.700000200003000%00000000000000
21Zayne ParekhAdmirals (NSH)D1000-380012010%11616.250000300000000%00100000000000
22Aleksanteri KaskimakiAdmirals (NSH)C1000000030100%077.87000000000000100.00%20000000000000
23Isaac HowardAdmirals (NSH)LW1000-3175011000%11111.600000000000000%00100000001000
24Jared WrightAdmirals (NSH)RW1000-355214010%099.480000000000000%01000000100000
25Mikhail IlyinAdmirals (NSH)LW/RW1000-140113220%11717.5000003000000050.00%21000000000000
26Hunter St. MartinAdmirals (NSH)LW2000-100120010%0136.99000020000000100.00%10000000000000
Statistiques d’équipe totales ou en moyenne5471118-4611660606910632706.60%2488316.3724671261233620053.85%1952421000.4100453000
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
1Marcus HogbergAdmirals (NSH)20100.8206.00900095026000012000
2Jiri PateraAdmirals (NSH)20200.8086.748900105227000021000
Statistiques d’équipe totales ou en moyenne40300.8146.3318000191025300033000


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
Aleksanteri KaskimakiAdmirals (NSH)C202004-02-06FINYes192 Lbs5 ft10NoNoProspectNoNo32025-08-30FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Arseny GritsyukAdmirals (NSH)LW/RW232001-03-15RUSNo174 Lbs5 ft11NoNoN/ANoNo22025-09-30FalseFalsePro & Farm735,000$707,633$73,500$70,763$No735,000$--------735,000$--------No--------
Axel Sandin PellikkaAdmirals (NSH)D192005-03-11SWENo185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No1,500,000$--------1,500,000$--------No--------
Brad LambertAdmirals (NSH)C212003-12-19FINNo173 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No---------------------------
Cade WebberAdmirals (NSH)D232001-01-05USANo194 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm825,000$794,282$82,500$79,428$No---------------------------
Calle OdeliusAdmirals (NSH)D202004-05-30SWENo185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No---------------------------
Curtis Douglas (sur la masse salariale)Admirals (NSH)C242000-03-06CANNo249 Lbs6 ft8NoNoN/ANoNo12025-09-30FalseFalsePro & Farm826,875$796,087$82,688$79,609$No---------------------------
Eemil ViroAdmirals (NSH)D222002-04-03FINNo165 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,023,750$985,632$102,375$98,563$No---------------------------
Egor SokolovAdmirals (NSH)LW/RW242000-06-07RUSNo222 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,312,500$1,263,630$131,250$126,363$No---------------------------
Eriks MateikoAdmirals (NSH)LW/RW192005-11-18LATYes209 Lbs6 ft4NoNoDraftNoNo32025-08-30FalseFalsePro & Farm825,000$794,282$82,500$79,428$No825,000$825,000$-------825,000$825,000$-------NoNo-------
Evan GardnerAdmirals (NSH)G182006-01-25CANYes176 Lbs5 ft11NoNoDraftNoNo32025-08-30FalseFalsePro & Farm975,000$938,697$97,500$93,870$No975,000$975,000$-------975,000$975,000$-------NoNo-------
Evan NauseAdmirals (NSH)D212003-01-20CANNo185 Lbs6 ft2NoNoN/ANoNo12025-09-13FalseFalsePro & Farm1,312,500$1,263,630$131,250$126,363$No---------------------------
Filip ZadinaAdmirals (NSH)LW/RW251999-11-27CZENo190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,900,000$1,829,255$190,000$182,926$No---------------------------
Hunter St. MartinAdmirals (NSH)LW192005-06-13CANYes185 Lbs6 ft0NoNoDraftNoNo32025-08-30FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Ian MooreAdmirals (NSH)D222002-01-04USANo194 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No---------------------------
Ilya SolovyovAdmirals (NSH)D242000-07-20BLRNo208 Lbs6 ft3NoNoN/ANoNo22025-09-30FalseFalsePro & Farm771,750$743,015$77,175$74,301$No771,750$--------771,750$--------No--------
Isaac HowardAdmirals (NSH)LW202004-05-30USAYes190 Lbs5 ft9NoNoProspectNoNo32025-08-30FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Jacob BengtssonAdmirals (NSH)D251999-05-08SWENo203 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm682,500$657,088$68,250$65,709$No---------------------------
Jared WrightAdmirals (NSH)RW222002-11-22USAYes183 Lbs6 ft1NoNoProspectNoNo22025-08-30FalseFalsePro & Farm700,000$673,936$70,000$67,394$No700,000$--------700,000$--------No--------
Jiri PateraAdmirals (NSH)G251999-02-24CZENo207 Lbs6 ft2NoNoN/ANoNo12025-09-13FalseFalsePro & Farm1,447,031$1,393,152$144,703$139,315$No---------------------------
Josh DaviesAdmirals (NSH)C/LW/RW202004-03-24CANNo201 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$--------650,000$--------No--------
Judd CaulfieldAdmirals (NSH)LW/RW232001-03-19USANo207 Lbs6 ft3NoNoN/ANoNo12025-09-30FalseFalsePro & Farm866,250$833,996$86,625$83,400$No---------------------------
Justin ErtelAdmirals (NSH)LW/RW212003-05-27CANNo187 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm975,000$938,697$97,500$93,870$No975,000$--------975,000$--------No--------
Landon SlaggertAdmirals (NSH)LW/RW222002-06-25USANo180 Lbs6 ft0NoNoN/ANoNo32025-10-06FalseFalsePro & Farm1,350,000$1,299,734$135,000$129,973$No1,350,000$1,350,000$-------1,350,000$1,350,000$-------NoNo-------
Marcus HogbergAdmirals (NSH)G301994-11-25SWENo234 Lbs6 ft5NoNoAssign ManuallyNoNo12025-10-28FalseFalsePro & Farm1,000,000$962,766$100,000$96,277$No---------------------------
Mikhail IlyinAdmirals (NSH)LW/RW192005-02-15RUSYes181 Lbs5 ft10NoNoProspectNoNo32025-08-30FalseFalsePro & Farm750,000$722,074$75,000$72,207$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Milo RoelensAdmirals (NSH)C/LW/RW212003-01-16CANNo216 Lbs6 ft7NoNoFree AgentNoNo22025-07-04FalseFalsePro & Farm750,000$722,074$75,000$72,207$No750,000$--------750,000$--------No--------
Samu Tuomaala (sur la masse salariale)Admirals (NSH)LW/RW212003-01-08FINNo190 Lbs5 ft11NoNoN/ANoNo22025-09-13FalseFalsePro & Farm1,312,500$1,263,630$131,250$126,363$No1,312,500$--------1,312,500$--------No--------
Shane BowersAdmirals (NSH)C251999-07-30CANNo186 Lbs6 ft2NoNoN/ANoNo12025-09-13FalseFalsePro & Farm1,519,383$1,462,810$151,938$146,281$No---------------------------
Tristan LennoxAdmirals (NSH)G222002-10-21CANNo196 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm975,000$938,697$97,500$93,870$No---------------------------
Ty MuellerAdmirals (NSH)C/LW/RW212003-02-26CANNo185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm825,000$794,282$82,500$79,428$No825,000$--------825,000$--------No--------
Valtteri PuustinenAdmirals (NSH)LW/RW251999-06-04FINNo182 Lbs5 ft10NoNoTrade2025-10-23NoNo1FalseFalsePro & Farm1,400,000$1,347,872$140,000$134,787$No---------------------------
Vladislav KolyachonokAdmirals (NSH)D232001-05-26BLRNo195 Lbs6 ft2NoNoN/ANoNo22025-09-13FalseFalsePro & Farm1,000,000$962,766$100,000$96,277$No1,000,000$--------1,000,000$--------No--------
Zayne ParekhAdmirals (NSH)D182006-02-15CANYes185 Lbs5 ft10NoNoTrade2025-10-23NoNo32025-08-20FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3421.97194 Lbs6 ft11.761,091,472$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Filip ZadinaTy MuellerLandon Slaggert28122
2Valtteri PuustinenBrad LambertArseny Gritsyuk28122
3Judd CaulfieldShane BowersEgor Sokolov25122
4Judd CaulfieldLandon SlaggertFilip Zadina19122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav KolyachonokIlya Solovyov28122
2Cade WebberEemil Viro28122
3Jacob BengtssonAxel Sandin Pellikka25122
4Vladislav KolyachonokIlya Solovyov19122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Filip ZadinaTy MuellerLandon Slaggert50122
2Valtteri PuustinenBrad LambertArseny Gritsyuk50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav KolyachonokIlya Solovyov50122
2Cade WebberAxel Sandin Pellikka50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Filip ZadinaLandon Slaggert50122
2Valtteri PuustinenTy Mueller50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav KolyachonokIlya Solovyov50122
2Cade WebberJacob Bengtsson50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Filip Zadina50122Vladislav KolyachonokIlya Solovyov50122
2Landon Slaggert50122Cade WebberJacob Bengtsson50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Filip ZadinaLandon Slaggert50122
2Valtteri PuustinenTy Mueller50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav KolyachonokIlya Solovyov50122
2Cade WebberAxel Sandin Pellikka50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Filip ZadinaTy MuellerLandon SlaggertVladislav KolyachonokIlya Solovyov
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Filip ZadinaTy MuellerLandon SlaggertVladislav KolyachonokIlya Solovyov
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Hunter St. Martin, Shane Bowers, Landon SlaggertHunter St. Martin, Shane BowersFilip Zadina
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jacob Bengtsson, Axel Sandin Pellikka, Cade WebberJacob BengtssonAxel Sandin Pellikka, Cade Webber
Tirs de pénalité
Filip Zadina, Landon Slaggert, Valtteri Puustinen, Ty Mueller, Brad Lambert
Gardien
#1 : Jiri Patera, #2 : Marcus Hogberg


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
1Bears1010000025-3000000000001010000025-300.00023500151035413728032914246116.67%2150.00%0346750.75%326350.79%396560.00%653457295729
2Blossom Bytes1010000037-41010000037-40000000000000.000358001510384137280431059184125.00%7271.43%1346750.75%326350.79%396560.00%653457295729
3Rams1010000027-51010000027-50000000000000.0002350015103341372802754318400.00%4250.00%0346750.75%326350.79%396560.00%653457295729
Total30300000719-1220200000514-91010000025-300.000711180015101064137280102241166014214.29%13561.54%1346750.75%326350.79%396560.00%653457295729
_Since Last GM Reset30300000719-1220200000514-91010000025-300.000711180015101064137280102241166014214.29%13561.54%1346750.75%326350.79%396560.00%653457295729
_Vs Conference30300000719-1220200000514-91010000025-300.000711180015101064137280102241166014214.29%13561.54%1346750.75%326350.79%396560.00%653457295729
_Vs Division1030000027-51020000027-50010000000000.0002350015103341372802754318400.00%4250.00%0346750.75%326350.79%396560.00%653457295729

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
30L371118106102241166000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3030000719
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2020000514
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
101000025
Derniers 10 matchs
WLOTWOTL SOWSOL
030000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
14214.29%13561.54%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
41372801510
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
346750.75%326350.79%396560.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
653457295729


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
12Blossom Bytes7Admirals3LSommaire du match
315Admirals2Bears5LSommaire du match
639Rams7Admirals2LSommaire du match
856Admirals-Blossom Bytes-
1076Penguins-Admirals-
14101Gulls-Admirals-
17128Americans-Admirals-
20147Admirals-Wolves-
22161Senators-Admirals-
26188Admirals-Grisards-
27195Admirals-Wolf Pack-
28201Titans-Admirals-
32225Penguins-Admirals-
36252Admirals-Bears-
37260Whalers-Admirals-
40278Admirals-Silver Knights-
42290Senators-Admirals-
45311Admirals-Gorillas-
47325Blossom Bytes-Admirals-
49346Admirals-Reign-
51354Americans-Admirals-
53376Admirals-Norsemen-
55385Redhawks-Admirals-
57409Admirals-Wolves-
59417Admirals-Penguins-
60426Wolves-Admirals-
63450Mountaineers-Admirals-
65461Admirals-Blossom Bytes-
69484Grisards-Admirals-
73513Phantoms-Admirals-
75525Admirals-Americans-
78546Rams-Admirals-
80566Admirals-Moose-
82578Saints-Admirals-
84585Admirals-Bills-
86602Admirals-Bears-
88615Wolf Pack-Admirals-
90634Admirals-Grisards-
92646Senators-Admirals-
94666Admirals-Moose-
95676White Wolves-Admirals-
98694Admirals-Blood Miners-
100708Eagles-Admirals-
102720Admirals-Senators-
103733Admirals-Crunch-
105746Penguins-Admirals-
109769Admirals-Gulls-
110778Wolf Pack-Admirals-
113801Admirals-Gulls-
114810Titans-Admirals-
118838Moose-Admirals-
120851Admirals-Wolf Pack-
122867Admirals-Redhawks-
123876Rocket-Admirals-
126899Eagles-Admirals-
128913Admirals-Phantoms-
130932Titans-Admirals-
132940Admirals-Griffins-
134955Admirals-Penguins-
136970Bears-Admirals-
140997Bears-Admirals-
1421018Admirals-Phantoms-
1431028Admirals-Rams-
1451034Rams-Admirals-
1481061Blossom Bytes-Admirals-
1501073Admirals-Bulldogs-
1521092Admirals-Blood Miners-
1531097Norsemen-Admirals-
1561122Whalers-Admirals-
1571130Admirals-Roadrunners-
1611157Norsemen-Admirals-
1621161Admirals-Redhawks-
1651180Admirals-Titans-
1661191Admirals-Blossom Bytes-
1671198Crunch-Admirals-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1711220Admirals-Rams-
1721225Octopus-Admirals-
1741240Admirals-Titans-
1781262Gulls-Admirals-
1811279Admirals-Whalers-
1831291Gulls-Admirals-
1841298Admirals-Wolf Pack-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité25005500
Prix des billets3412
Assistance4,68811,000
Assistance PCT93.76%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 7844 - 98.05% 174,835$349,670$8000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
152,470$ 3,365,816$ 3,365,816$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
21,095$ 152,470$ 32 2

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
6,818,565$ 181 21,095$ 3,818,195$




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