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Admirals
GP: 12 | W: 7 | L: 5
GF: 46 | GA: 40 | PP%: 33.33% | PK%: 63.27%
DG: André | Morale : 86 | Moyenne d’équipe : N/A

Centre de jeu
Blossom Bytes
8-5-0, 16pts
4
FINAL
5 Admirals
7-5-0, 14pts
Team Stats
L1SéquenceL1
6-2-0Fiche domicile3-2-0
2-3-0Fiche domicile4-3-0
6-3-1Derniers 10 matchs5-5-0
4.69Buts par match 3.83
4.15Buts contre par match 3.33
36.23%Pourcentage en avantage numérique33.33%
66.67%Pourcentage en désavantage numérique63.27%
Admirals
7-5-0, 14pts
5
FINAL
8 Blossom Bytes
8-5-0, 16pts
Team Stats
L1SéquenceL1
3-2-0Fiche domicile6-2-0
4-3-0Fiche domicile2-3-0
5-5-0Derniers 10 matchs6-3-1
3.83Buts par match 4.69
3.33Buts contre par match 4.15
33.33%Pourcentage en avantage numérique36.23%
63.27%Pourcentage en désavantage numérique66.67%
Meneurs d'équipe
Buts
Evgenii Dadonov
9
Passes
Ty Mueller
11
Points
Valtteri Puustinen
15
Plus/Moins
Ty Mueller
6
Victoires
Jiri Patera
4
Pourcentage d’arrêts
Marcus Hogberg
0.926

Statistiques d’équipe
Buts pour
46
3.83 GFG
Tirs pour
362
30.17 Avg
Pourcentage en avantage numérique
33.3%
19 GF
Début de zone offensive
37.6%
Buts contre
40
3.33 GAA
Tirs contre
373
31.08 Avg
Pourcentage en désavantage numérique
63.3%%
18 GA
Début de la zone défensive
36.7%
Informations de l'équipe

Directeur généralAndré
EntraîneurAnders Sorensen
DivisionAtlantic Division
ConférenceEastern Conference
CapitaineCurtis Douglas
Assistant #1Filip Zadina
Assistant #2Ilya Solovyov


Informations de l’aréna

Capacité8,000
Assistance7,987
Billets de saison800


Informations de la formation

Équipe Pro36
Équipe Mineure23
Limite contact 59 / 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
1Oliver WahlstromXX100.00675887677877886965656668664961040002411,500,000$
2Valtteri PuustinenXX100.00605094716976896861686767655062078002511,400,000$
3Evgenii DadonovXX100.00655094857180947661717467657163079003511,650,000$
4Curtis Douglas (C)X100.0060606060607070606060606060566208000241826,875$
5Andrew MangiapaneXX100.00695093816980947361687068655864075002823,750,000$
6Egor SokolovXX100.00606060606070706060606060605157080002411,312,500$
7Shane BowersX100.00685091627175926261636171655262081002511,519,383$
8Landon SlaggertXX100.00675489736979917061666670654055080002231,350,000$
9Josh DaviesXXX100.0060606060607070606060606060405507401202650,000$
10Ty MuellerXXX100.0060509270707791637164627065405508301212825,000$
11Isaac Howard (R)X100.00606060606070706060606060604655060002031,500,000$
12Eemil ViroX100.00606060606070706060606060604959064002211,023,750$
13Ilya Solovyov (A)X100.0070509070798290642565627365535907900242771,750$
14Evan NauseX100.00606060606070706060606060604055025002111,312,500$
15Axel Sandin PellikkaX100.00606060606070706060606060604055074011921,500,000$
16Cade WebberX100.0060606060607070606060606060405502201231825,000$
17Ian MooreX100.00606060606070706060606060604055077012211,250,000$
Rayé
1Pierre EngvallXX100.00675093758278907161666967655760073002822,650,000$
2Samu TuomaalaXX100.00606060606070706060606060604055019002121,312,500$
3Filip Zadina (A)XX71.39675093797280707361677169675359070002511,900,000$
4Arseny GritsyukXX100.0060606060607070606060606060405502800232735,000$
5Judd CaulfieldXX100.0060606060607070606060606060405502300231866,250$
6Justin ErtelXX100.0060606060607070606060606060405502001212975,000$
7Milo RoelensXXX100.0060606060607070606060606060405501900212750,000$
8Aleksanteri Kaskimaki (R)X100.00606060606070706060606060604655019002031,250,000$
9Jared Wright (R)X100.0060606060607070606060606060465502000222700,000$
10Mikhail Ilyin (R)XX100.0060606060607070606060606060465502000193750,000$
11Eriks Mateiko (R)XX100.0060606060607070606060606060465502000193825,000$
12Hunter St. Martin (R)X100.0060606060607070606060606060485502000193650,000$
13Jacob BengtssonX89.0260606060607070606060606060405506500251682,500$
14Calle OdeliusX100.00606060606070706060606060604055023002011,250,000$
15Zayne Parekh (R)X91.59606060606070706060606060604655070001831,500,000$
MOYENNE D’ÉQUIPE98.476257706464737663606262636246570520
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
1Jiri Patera100.0060707060606060606060605265079002511,447,031$
2Evan Gardner (R)100.006070706060606060606060445506900183975,000$
Rayé
1Marcus Hogberg85.1269767193626366636962716166031003011,000,000$
2Tristan Lennox100.006070706060606060606060405506000221975,000$
MOYENNE D’ÉQUIPE96.25627270686161626162616349600600
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
1Valtteri PuustinenAdmirals (NSH)LW/RW1269155101015233271618.75%823919.99347636000020058.82%1756001.2500011111
2Ty MuellerAdmirals (NSH)C/LW/RW124111562013303381112.12%423119.251891137000000052.84%17626001.3000000010
3Evgenii DadonovAdmirals (NSH)LW/RW129514-575182854193216.67%528623.914486360002253050.00%122122000.9800001111
4Landon SlaggertAdmirals (NSH)LW/RW1276132121024942152916.67%825421.241346170002321027.27%11133001.0200011300
5Andrew MangiapaneAdmirals (NSH)LW/RW115510575181447122210.64%220018.2622411170001181045.83%24104001.0000100112
6Josh DaviesAdmirals (NSH)C/LW/RW124610-1215271885650.00%321017.55325336000011044.52%14601000.9500100200
7Pierre EngvallAdmirals (NSH)LW/RW9279500992021410.00%311813.150111300000010%154001.5200000010
8Ilya SolovyovAdmirals (NSH)D1236902012192381213.04%1732026.74235337000233000%0410000.5600000000
9Filip ZadinaAdmirals (NSH)LW/RW12448-1009172551416.00%320016.73246633000131033.33%1291000.8000000101
10Curtis DouglasAdmirals (NSH)C1214527525201071110.00%620617.22000000004330050.00%15223000.4800001010
11Oliver WahlstromAdmirals (NSH)LW/RW12044-175191820850%418915.7502215000070050.00%1043000.4200100000
12Ian MooreAdmirals (NSH)D120335281011137230%727823.19011239000023000%006000.2200011000
13Eemil ViroAdmirals (NSH)D1111232010101852520.00%821019.14101121000012000%012000.1900011000
14Zayne ParekhAdmirals (NSH)D8022360579340%1114618.25000112000121000%007000.2700000000
15Isaac HowardAdmirals (NSH)LW5022100204010%0153.05000000000300100.00%102002.6300000001
16Evan NauseAdmirals (NSH)D7011-3135362240%412217.4401101800004000%012000.1600010000
17Axel Sandin PellikkaAdmirals (NSH)D9011330101289420%716618.520000300007000%023000.1200011000
18Cade WebberAdmirals (NSH)D4011-400250020%66215.590000000004000%000000.3200000000
19Jacob BengtssonAdmirals (NSH)D800031759610100%817922.40000016000220000%00500000001000
20Egor SokolovAdmirals (NSH)LW/RW11000-220200010%1191.800000000000000%00000000000000
21Shane BowersAdmirals (NSH)C11000-200010000%0191.7800000000050066.67%30000000000000
22Calle OdeliusAdmirals (NSH)D1000020101010%11818.080000000002000%00000000000000
23Aleksanteri KaskimakiAdmirals (NSH)C1000000111000%01111.6300000000030025.00%40100000000000
Statistiques d’équipe totales ou en moyenne2164678124241938524727036211019512.71%116370917.1719355458375000152687148.90%6797071000.6700368966
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
1Jiri PateraAdmirals (NSH)94500.8793.675230032265143100083010
2Marcus HogbergAdmirals (NSH)42000.9262.171940079553100041000
3Tristan LennoxAdmirals (NSH)11000.9231.6237001138000001000
Statistiques d’équipe totales ou en moyenne147500.8933.187560040373204200125010


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$357,143$125,000$35,714$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Andrew MangiapaneAdmirals (NSH)LW/RW281996-04-04CANNo183 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm3,750,000$1,071,429$375,000$107,143$No3,750,000$--------3,750,000$--------No--------
Arseny GritsyukAdmirals (NSH)LW/RW232001-03-15RUSNo174 Lbs5 ft11NoNoN/ANoNo22025-09-30FalseFalsePro & Farm735,000$210,000$73,500$21,000$No735,000$--------735,000$--------No--------
Axel Sandin PellikkaAdmirals (NSH)D192005-03-11SWENo185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$428,571$150,000$42,857$No1,500,000$--------1,500,000$--------No--------
Cade WebberAdmirals (NSH)D232001-01-05USANo194 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm825,000$235,714$82,500$23,571$No---------------------------
Calle OdeliusAdmirals (NSH)D202004-05-30SWENo185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$357,143$125,000$35,714$No---------------------------
Curtis DouglasAdmirals (NSH)C242000-03-06CANNo249 Lbs6 ft8NoNoN/ANoNo12025-09-30FalseFalsePro & Farm826,875$236,250$82,688$23,625$No---------------------------
Eemil ViroAdmirals (NSH)D222002-04-03FINNo165 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,023,750$292,500$102,375$29,250$No---------------------------
Egor SokolovAdmirals (NSH)LW/RW242000-06-07RUSNo222 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,312,500$375,000$131,250$37,500$No---------------------------
Eriks MateikoAdmirals (NSH)LW/RW192005-11-18LATYes209 Lbs6 ft4NoNoDraftNoNo32025-08-30FalseFalsePro & Farm825,000$235,714$82,500$23,571$No825,000$825,000$-------825,000$825,000$-------NoNo-------
Evan GardnerAdmirals (NSH)G182006-01-25CANYes176 Lbs5 ft11NoNoDraftNoNo32025-08-30FalseFalsePro & Farm975,000$278,571$97,500$27,857$No975,000$975,000$-------975,000$975,000$-------NoNo-------
Evan NauseAdmirals (NSH)D212003-01-20CANNo185 Lbs6 ft2NoNoN/ANoNo12025-09-13FalseFalsePro & Farm1,312,500$375,000$131,250$37,500$No---------------------------
Evgenii DadonovAdmirals (NSH)LW/RW351989-03-12RUSNo188 Lbs5 ft11NoNoAssign ManuallyNoNo12025-10-28FalseFalsePro & Farm1,650,000$471,429$165,000$47,143$No---------------------------
Filip Zadina (sur la masse salariale)Admirals (NSH)LW/RW251999-11-27CZENo190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,900,000$542,857$190,000$54,286$No---------------------------
Hunter St. MartinAdmirals (NSH)LW192005-06-13CANYes185 Lbs6 ft0NoNoDraftNoNo32025-08-30FalseFalsePro & Farm650,000$185,714$65,000$18,571$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Ian MooreAdmirals (NSH)D222002-01-04USANo194 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$357,143$125,000$35,714$No---------------------------
Ilya SolovyovAdmirals (NSH)D242000-07-20BLRNo208 Lbs6 ft3NoNoN/ANoNo22025-09-30FalseFalsePro & Farm771,750$220,500$77,175$22,050$No771,750$--------771,750$--------No--------
Isaac HowardAdmirals (NSH)LW202004-05-30USAYes190 Lbs5 ft9NoNoProspectNoNo32025-08-30FalseFalsePro & Farm1,500,000$428,571$150,000$42,857$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Jacob Bengtsson (sur la masse salariale)Admirals (NSH)D251999-05-08SWENo203 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm682,500$195,000$68,250$19,500$No---------------------------
Jared WrightAdmirals (NSH)RW222002-11-22USAYes183 Lbs6 ft1NoNoProspectNoNo22025-08-30FalseFalsePro & Farm700,000$200,000$70,000$20,000$No700,000$--------700,000$--------No--------
Jiri PateraAdmirals (NSH)G251999-02-24CZENo207 Lbs6 ft2NoNoN/ANoNo12025-09-13FalseFalsePro & Farm1,447,031$413,437$144,703$41,344$No---------------------------
Josh DaviesAdmirals (NSH)C/LW/RW202004-03-24CANNo201 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm650,000$185,714$65,000$18,571$No650,000$--------650,000$--------No--------
Judd CaulfieldAdmirals (NSH)LW/RW232001-03-19USANo207 Lbs6 ft3NoNoN/ANoNo12025-09-30FalseFalsePro & Farm866,250$247,500$86,625$24,750$No---------------------------
Justin ErtelAdmirals (NSH)LW/RW212003-05-27CANNo187 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm975,000$278,571$97,500$27,857$No975,000$--------975,000$--------No--------
Landon SlaggertAdmirals (NSH)LW/RW222002-06-25USANo180 Lbs6 ft0NoNoN/ANoNo32025-10-06FalseFalsePro & Farm1,350,000$385,714$135,000$38,571$No1,350,000$1,350,000$-------1,350,000$1,350,000$-------NoNo-------
Marcus Hogberg (sur la masse salariale)Admirals (NSH)G301994-11-25SWENo234 Lbs6 ft5NoNoAssign ManuallyNoNo12025-10-28FalseFalsePro & Farm1,000,000$285,714$100,000$28,571$No---------------------------
Mikhail IlyinAdmirals (NSH)LW/RW192005-02-15RUSYes181 Lbs5 ft10NoNoProspectNoNo32025-08-30FalseFalsePro & Farm750,000$214,286$75,000$21,429$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Milo RoelensAdmirals (NSH)C/LW/RW212003-01-16CANNo216 Lbs6 ft7NoNoFree AgentNoNo22025-07-04FalseFalsePro & Farm750,000$214,286$75,000$21,429$No750,000$--------750,000$--------No--------
Oliver WahlstromAdmirals (NSH)LW/RW242000-06-13USANo205 Lbs6 ft2NoNoWaiverNoNo1FalseFalsePro & Farm1,500,000$428,571$150,000$42,857$No---------------------------
Pierre EngvallAdmirals (NSH)LW/RW281996-05-31SWENo215 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm2,650,000$757,143$265,000$75,714$No2,650,000$--------2,650,000$--------No--------
Samu TuomaalaAdmirals (NSH)LW/RW212003-01-08FINNo190 Lbs5 ft11NoNoN/ANoNo22025-09-13FalseFalsePro & Farm1,312,500$375,000$131,250$37,500$No1,312,500$--------1,312,500$--------No--------
Shane BowersAdmirals (NSH)C251999-07-30CANNo186 Lbs6 ft2NoNoN/ANoNo12025-09-13FalseFalsePro & Farm1,519,383$434,109$151,938$43,411$No---------------------------
Tristan LennoxAdmirals (NSH)G222002-10-21CANNo196 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm975,000$278,571$97,500$27,857$No---------------------------
Ty MuellerAdmirals (NSH)C/LW/RW212003-02-26CANNo185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm825,000$235,714$82,500$23,571$No825,000$--------825,000$--------No--------
Valtteri PuustinenAdmirals (NSH)LW/RW251999-06-04FINNo182 Lbs5 ft10NoNoTrade2025-10-23NoNo1FalseFalsePro & Farm1,400,000$400,000$140,000$40,000$No---------------------------
Zayne Parekh (sur la masse salariale)Admirals (NSH)D182006-02-15CANYes185 Lbs5 ft10NoNoTrade2025-10-23NoNo32025-08-20FalseFalsePro & Farm1,500,000$428,571$150,000$42,857$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3622.72195 Lbs6 ft11.751,226,668$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Oliver WahlstromTy MuellerValtteri Puustinen30113
2Evgenii DadonovJosh Davies28113
3Landon SlaggertCurtis DouglasAndrew Mangiapane24122
4Landon SlaggertEvgenii DadonovOliver Wahlstrom18122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Axel Sandin PellikkaIlya Solovyov37122
2Eemil ViroIan Moore33122
3Cade WebberEvan Nause25122
4Ian MooreIlya Solovyov5122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Landon SlaggertTy MuellerValtteri Puustinen50005
2Evgenii DadonovJosh Davies50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Eemil ViroIlya Solovyov50122
2Evan NauseIan Moore50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Curtis DouglasEvgenii Dadonov50122
2Landon Slaggert50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Eemil ViroIan Moore50122
2Cade WebberIlya Solovyov50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Curtis Douglas50122Ilya SolovyovIan Moore50122
2Evgenii Dadonov50122Axel Sandin PellikkaCade Webber50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ty MuellerValtteri Puustinen50122
2Josh Davies50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Axel Sandin PellikkaIlya Solovyov50122
2Eemil ViroIan Moore50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Evgenii DadonovTy MuellerValtteri PuustinenEemil ViroIlya Solovyov
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Evgenii DadonovCurtis DouglasIlya SolovyovIan Moore
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Valtteri Puustinen, Ty Mueller, Evgenii DadonovEvgenii Dadonov, Oliver WahlstromLandon Slaggert
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ian Moore, Evan Nause, Ilya SolovyovIan MooreIlya Solovyov, Ian Moore
Tirs de pénalité
Valtteri Puustinen, Ty Mueller, Evgenii Dadonov, Landon Slaggert,
Gardien
#1 : Jiri Patera, #2 : Evan Gardner


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
1Blossom Bytes734000003031-13210000015114413000001520-560.429305383001019143213117123113925573125137521834.62%251156.00%011225543.92%12924951.81%9117552.00%249117242123264138
2Moose5410000016972110000055033000000114780.800162541001019143149117123113911843681105120.00%24770.83%011225543.92%12924951.81%9117552.00%249117242123264138
Total1275000004640653200000201647430000026242140.58346781240010191433621171231139373116193247571933.33%491863.27%011225543.92%12924951.81%9117552.00%249117242123264138
_Since Last GM Reset1275000004640653200000201647430000026242140.58346781240010191433621171231139373116193247571933.33%491863.27%011225543.92%12924951.81%9117552.00%249117242123264138
_Vs Conference1275000004640653200000201647430000026242140.58346781240010191433621171231139373116193247571933.33%491863.27%011225543.92%12924951.81%9117552.00%249117242123264138

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1214L1467812436237311619324700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
127500004640
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
53200002016
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
74300002624
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
571933.33%491863.27%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
11712311391019143
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
11225543.92%12924951.81%9117552.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
249117242123264138


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
11Admirals3Moose1WSommaire du match
39Admirals5Moose1WSommaire du match
517Moose3Admirals2LSommaire du match
725Moose2Admirals3WXSommaire du match
933Admirals3Moose2WXSommaire du match
1557Admirals4Blossom Bytes3WSommaire du match
1761Admirals5Blossom Bytes6LSommaire du match
1965Blossom Bytes1Admirals6WSommaire du match
2169Blossom Bytes6Admirals4LSommaire du match
2373Admirals1Blossom Bytes3LSommaire du match
2577Blossom Bytes4Admirals5WXSommaire du match
2781Admirals5Blossom Bytes8LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité25005500
Prix des billets3412
Assistance12,43727,500
Assistance PCT99.50%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 7987 - 99.84% 180,686$903,429$8000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,907,754$ 3,907,754$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 32 4

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 12 0$ 0$




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