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Connexion

Admirals
GP: 24 | W: 10 | L: 10 | OTL: 4 | P: 24
GF: 106 | GA: 111 | PP%: 22.77% | PK%: 79.59%
DG: Dany Potvin | Morale : 33 | Moyenne d’équipe : 64
Prochains matchs #323 vs Canucks
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Centre de jeu
Admirals
10-10-4, 24pts
5
FINAL
6 Griffins
15-6-1, 31pts
Team Stats
W1SéquenceSOW1
4-6-2Fiche domicile8-4-0
6-4-2Fiche domicile7-2-1
6-3-1Derniers 10 matchs7-3-0
4.42Buts par match 4.50
4.63Buts contre par match 3.45
22.77%Pourcentage en avantage numérique20.00%
79.59%Pourcentage en désavantage numérique80.72%
Penguins
12-10-1, 25pts
1
FINAL
3 Admirals
10-10-4, 24pts
Team Stats
L1SéquenceW1
5-6-1Fiche domicile4-6-2
7-4-0Fiche domicile6-4-2
4-5-1Derniers 10 matchs6-3-1
4.04Buts par match 4.42
3.96Buts contre par match 4.63
17.78%Pourcentage en avantage numérique22.77%
83.50%Pourcentage en désavantage numérique79.59%
Canucks
14-8-3, 31pts
Jour 64
Admirals
10-10-4, 24pts
Statistiques d’équipe
SOL1SéquenceW1
6-5-1Fiche domicile4-6-2
8-3-2Fiche visiteur6-4-2
7-2-110 derniers matchs6-3-1
4.52Buts par match 4.42
3.84Buts contre par match 4.42
24.75%Pourcentage en avantage numérique22.77%
86.67%Pourcentage en désavantage numérique79.59%
Admirals
10-10-4, 24pts
Jour 66
Islander
13-10-3, 29pts
Statistiques d’équipe
W1SéquenceL1
4-6-2Fiche domicile5-5-1
6-4-2Fiche visiteur8-5-2
6-3-110 derniers matchs5-3-2
4.42Buts par match 3.65
4.63Buts contre par match 3.65
22.77%Pourcentage en avantage numérique23.71%
79.59%Pourcentage en désavantage numérique75.00%
Admirals
10-10-4, 24pts
Jour 68
Senators
12-9-3, 27pts
Statistiques d’équipe
W1SéquenceW1
4-6-2Fiche domicile5-7-0
6-4-2Fiche visiteur7-2-3
6-3-110 derniers matchs5-4-1
4.42Buts par match 4.42
4.63Buts contre par match 4.42
22.77%Pourcentage en avantage numérique27.27%
79.59%Pourcentage en désavantage numérique72.73%
Meneurs d'équipe
Buts
Mark McNeill
16
Passes
Olli Juolevi
19
Points
Hunter Shinkaruk
28
Plus/Moins
Riley Barber
8
Victoires
Felix Sanstrom
9
Pourcentage d’arrêts
Felix Sanstrom
0.878

Statistiques d’équipe
Buts pour
106
4.42 GFG
Tirs pour
788
32.83 Avg
Pourcentage en avantage numérique
22.8%
23 GF
Début de zone offensive
34.0%
Buts contre
111
4.63 GAA
Tirs contre
826
34.42 Avg
Pourcentage en désavantage numérique
79.6%%
20 GA
Début de la zone défensive
37.3%
Informations de l'équipe

Directeur généralDany Potvin
EntraîneurWayne Gretzky
DivisionJohn-Ahearne
ConférenceRobert-Lebel
CapitaineMark McNeill
Assistant #1
Assistant #2Josh Norris


Informations de l’aréna

Capacité3,000
Assistance2,769
Billets de saison300


Informations de la formation

Équipe Pro36
Équipe Mineure20
Limite contact 56 / 250
Espoirs0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Mathieu Joseph (R)X100.0079387579797380756675807671604948487402211,000,000$
2Mark McNeill (C)X100.007338787578767377787374757564553637730261900,000$
3Hunter Shinkaruk (R)X100.006939807572757672697384597760553639720251950,000$
4Lucas Wallmark (R)X100.006532807778767671837767716655494025710242900,000$
5Kasper Bjorkqvist (R)X100.006839777666777378808971526655494125710251900,000$
6Nolan Vesey (R)X100.007937727670587777647367596147503638680241800,000$
7Gerald MayhewX100.005842796766698375736476597362573639680272750,000$
8Josh Norris (R) (A)X100.006530797071767271665885517451445839670201750,000$
9Pavol Regenda (R)X96.156947766363686070676466566347446116640201500,000$
10Filip Chlapik (R)X100.006336705667566062735868535444444321600221600,000$
11Milos Kelemen (R)X100.006023655481636768706070436344446439600201500,000$
12Mark Kastelic (R)X100.007138595677496861555364525742425432580202500,000$
13Olli Juolevi (R)X100.007132778468596783447659735653465343710212700,000$
14Christian Djoos (R)X100.007332837069626669506852785851533040690251650,000$
15Reilly Walsh (R)X100.006433837268686763477757835451445439690201750,000$
16Carl Dahlstrom (R)X100.007118826860627261456863795649513731670241600,000$
17Sean Durzi (R)X100.005940817554636481327460634345445936650211500,000$
18Josh Wesley (R)X100.005839846368686958446957724646483827650231600,000$
19Tobias Bjornfot (R)X100.004730697549576768378051634040407533600182500,000$
20Henry Thrun (R)X100.006635645251635555335953594440407536560182500,000$
Rayé
1Riley Barber (R)X67.197334817166686469687568667650493414680251650,000$
2Ryan Olsen (R)X100.005433797571667368636568487047472620640251600,000$
3Drew O'Connor (R)X100.007640686777567868637165565446455329640212999,999$
4Carsen Twarynski (R)X100.004636866361796252597362685544464020620221500,000$
5Troy Bourke (R)X100.005041677158586667657068425347472620610251600,000$
6Bokondji Imama (R)X100.007853674676506861596063426145453420580231750,000$
7Ruslan Iskhakov (R)X100.005740616666625362536161435642426829570191500,000$
8Joni Ikonen (R)X100.004721755743504173586150455842424920540201550,000$
9Jack Malone (R)X100.004636594953555542585857475342425820510192500,000$
10Patrick Moynihan (R)X100.004933594752444650494647386040407324470182500,000$
11Ian Mitchell (R)X84.405534797764586277468063724748446129670201750,000$
12Grant Hutton (R)X100.008150556663635550397056593954553820630241750,000$
13Sergei Zborovskiy (R)X100.005431796768626354305538745146464525610221500,000$
14Libor Hajek (R)X100.006443746263576059365445635143434220600211500,000$
MOYENNE D’ÉQUIPE98.46633674676663666657676360584847482964
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
1Felix Sanstrom98.00697671727371707168687351475545690221700,000$
2Tristan Jarry100.00757676716978736459776961503845690241700,000$
Rayé
MOYENNE D’ÉQUIPE99.0072767472717572686473715649474569
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Wayne Gretzky70628291526855Can6611,000,000$


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
1Hunter ShinkarukAdmirals (Nas)LW24141428-1580311895285214.74%1250220.9434715741012452045.45%55255011.1101000302
2Mark McNeillAdmirals (Nas)RW21161127-3155342773295021.92%1441619.823257561011634156.67%30153121.3001001411
3Olli JuoleviPredatorsD2071926-1100373256152012.50%3251025.553471176011173200%01426001.0200000113
4Josh NorrisAdmirals (Nas)C2481523-10100344049183216.33%748520.2237109821013370048.65%59496000.9500000010
5Mathieu JosephAdmirals (Nas)RW1491322-8200262466254713.64%430822.0454917570112300042.62%61104001.4301000111
6Lucas WallmarkAdmirals (Nas)C1881119-280313158162613.79%732618.161452500001441052.38%378114001.1600000110
7Reilly WalshAdmirals (Nas)D2431518-128034594219147.14%4861925.792571293000086000%0623000.5800000101
8Riley BarberAdmirals (Nas)RW10891782010122051240.00%514814.81011070000260120.00%573012.3000000040
9Ian MitchellAdmirals (Nas)D242131538021283714115.41%2246519.41033160000059010%0315000.6400000000
10Anton GustafssonPredatorsC101121370013252312174.35%319819.830223240000280056.02%16696001.3100000001
11Nolan VeseyAdmirals (Nas)LW17491348029114515228.89%323213.650002300111170072.73%1136001.1200000000
12Gerald MayhewAdmirals (Nas)RW249413-340171456153416.07%626310.96000222000021058.33%12118000.9900000011
13Kasper BjorkqvistAdmirals (Nas)RW18471124022437122910.81%423312.99101123000040054.55%11211000.9400000002
14Carl DahlstromAdmirals (Nas)D230997100172415380%1634214.89000130000041000%066000.5300000000
15Pavol RegendaAdmirals (Nas)LW1544844021122051020.00%020113.44101224000040033.33%623000.7900000001
16Tobias BjornfotAdmirals (Nas)D1214536061157420.00%615112.6211211901107000%013000.6600000001
17Christian DjoosAdmirals (Nas)D2113444092493211.11%1128513.57011125000044000%0216000.2800000000
18Ruslan IskhakovAdmirals (Nas)C242241601215154513.33%32108.7700000000040144.74%11402000.3800000000
19Drew O'ConnorAdmirals (Nas)LW17213-360171121699.52%617910.55000217000170033.33%341000.3300000000
20Sean DurziAdmirals (Nas)D24022-31555149310%1125710.7501121500002000%016000.1600010000
21Milos KelemenAdmirals (Nas)LW24112-11801611151106.67%624610.28000112000060054.55%1127000.1600000000
22Filip ChlapikAdmirals (Nas)C210112015110100.00%02211.2100000000000046.15%1301000.8900000000
23Mark KastelicAdmirals (Nas)C18101-516016413137.69%21538.5500000000010045.95%7402000.1300000000
24Josh WesleyAdmirals (Nas)D11000200095130%71009.110000300005000%00100000000000
25Grant HuttonAdmirals (Nas)D3000-500230000%0279.260000000000000%00000000000000
26Sergei ZborovskiyAdmirals (Nas)D11000-600150010%8585.320000000002000%00100000000000
27Henry ThrunAdmirals (Nas)D22000-260052020%1863.920000000000000%00300000000000
28Patrick MoynihanAdmirals (Nas)RW5000-360201000%3438.65000000000000100.00%10100000000000
Statistiques d’équipe totales ou en moyenne480106178284-362041046447878825842413.45%247707814.75233962928093471264910449.90%1545162163140.8003011111014
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
1Felix SanstromAdmirals (Nas)199530.8784.1310742074609307110.5002168110
2Tristan JarryAdmirals (Nas)81510.8385.573770035216920000816000
Statistiques d’équipe totales ou en moyenne27101040.8684.511451201098253991122424110


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 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 Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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
Bokondji ImamaAdmirals (Nas)LW231996-01-01Yes221 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$523,515$0$0$No------------------
Carl DahlstromAdmirals (Nas)D241995-01-01Yes185 Lbs6 ft4NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm600,000$418,812$0$0$No------------------
Carsen TwarynskiAdmirals (Nas)LW221997-01-01Yes198 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Christian DjoosAdmirals (Nas)D251994-01-01Yes158 Lbs5 ft11NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm650,000$453,713$0$0$No------------------
Drew O'ConnorAdmirals (Nas)LW211998-01-01Yes190 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm999,999$698,019$0$0$No1,000,000$--------No--------
Felix SanstromAdmirals (Nas)G221997-01-01No191 Lbs6 ft2NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm700,000$488,614$0$0$No------------------
Filip ChlapikAdmirals (Nas)C221997-01-01Yes194 Lbs6 ft2NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm600,000$418,812$0$0$No------------------
Gerald MayhewAdmirals (Nas)RW271992-01-01No161 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm750,000$523,515$0$0$No750,000$--------No--------
Grant HuttonAdmirals (Nas)D241995-01-01Yes207 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm750,000$523,515$0$0$No------------------
Henry ThrunAdmirals (Nas)D182001-01-01Yes190 Lbs6 ft2NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Hunter ShinkarukAdmirals (Nas)LW251994-01-01Yes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm950,000$663,119$0$0$No------------------
Ian MitchellAdmirals (Nas)D201999-01-01Yes173 Lbs5 ft11NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm750,000$523,515$0$0$No------------------
Jack MaloneAdmirals (Nas)RW192000-01-01Yes190 Lbs6 ft1NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Joni IkonenAdmirals (Nas)C201999-01-01Yes171 Lbs5 ft10NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm550,000$383,911$0$0$No------------------
Josh NorrisAdmirals (Nas)C201999-01-01Yes199 Lbs6 ft1NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm750,000$523,515$0$0$No------------------
Josh WesleyAdmirals (Nas)D231996-01-01Yes201 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm600,000$418,812$0$0$No------------------
Kasper BjorkqvistAdmirals (Nas)RW251994-01-01Yes194 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$628,218$0$0$No------------------
Libor HajekAdmirals (Nas)D211998-01-01Yes205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Lucas WallmarkAdmirals (Nas)C241995-01-01Yes185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm900,000$628,218$0$0$No900,000$--------No--------
Mark KastelicAdmirals (Nas)C201999-01-01Yes227 Lbs6 ft4NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Mark McNeillAdmirals (Nas)RW261993-01-01No212 Lbs6 ft2NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm900,000$628,218$0$0$No------------------
Mathieu JosephAdmirals (Nas)RW221997-01-01Yes190 Lbs6 ft1NoNoTrade2024-08-03NoNo1FalseFalsePro & Farm1,000,000$698,020$0$0$No------------------
Milos KelemenAdmirals (Nas)LW201999-01-01Yes210 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Nolan VeseyAdmirals (Nas)LW241995-01-01Yes210 Lbs6 ft2NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm800,000$558,416$0$0$No------------------
Olli JuoleviPredatorsD211998-01-01Yes183 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm700,000$492,718$700,000$492,718$No700,000$--------No--------
Patrick MoynihanAdmirals (Nas)RW182001-01-01Yes185 Lbs5 ft11NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Pavol RegendaAdmirals (Nas)LW201999-01-01Yes212 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Reilly WalshAdmirals (Nas)D201999-01-01Yes185 Lbs6 ft0NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm750,000$523,515$0$0$No------------------
Riley Barber (sur la masse salariale)Admirals (Nas)RW251994-01-01Yes194 Lbs5 ft11NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm650,000$453,713$0$0$Yes------------------
Ruslan IskhakovAdmirals (Nas)C192000-01-01Yes165 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Ryan OlsenAdmirals (Nas)C251994-01-01Yes187 Lbs6 ft1NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm600,000$418,812$0$0$No------------------
Sean DurziAdmirals (Nas)D211998-01-01Yes195 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Sergei ZborovskiyAdmirals (Nas)D221997-01-01Yes194 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Tobias BjornfotAdmirals (Nas)D182001-01-01Yes201 Lbs6 ft1NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Tristan JarryAdmirals (Nas)G241995-01-01No185 Lbs6 ft2NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm700,000$488,614$0$0$No------------------
Troy BourkeAdmirals (Nas)LW251994-01-01Yes156 Lbs5 ft10NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm600,000$418,812$0$0$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3622.08191 Lbs6 ft11.25663,889$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pavol RegendaJosh NorrisMathieu Joseph40122
2Milos KelemenLucas WallmarkMark McNeill30122
3Nolan VeseyFilip ChlapikKasper Bjorkqvist20122
4Milos KelemenMark McNeillGerald Mayhew10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Reilly WalshSean Durzi40122
2Olli JuoleviTobias Bjornfot30122
3Christian DjoosJosh Wesley20122
4Carl DahlstromHenry Thrun10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pavol RegendaJosh NorrisMathieu Joseph60122
2Milos KelemenLucas WallmarkMark McNeill40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olli JuoleviTobias Bjornfot60122
2Reilly WalshSean Durzi40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Lucas WallmarkMathieu Joseph60122
2Josh NorrisMark McNeill40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olli JuoleviTobias Bjornfot60131
2Reilly WalshCarl Dahlstrom40131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mathieu Joseph60131Reilly WalshCarl Dahlstrom60131
2Mark McNeill40131Olli JuoleviTobias Bjornfot40131
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Josh NorrisMathieu Joseph60122
2Mark McNeillHunter Shinkaruk40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olli JuoleviTobias Bjornfot60122
2Reilly WalshSean Durzi40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Hunter ShinkarukJosh NorrisMathieu JosephChristian DjoosOlli Juolevi
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Hunter ShinkarukLucas WallmarkMathieu JosephOlli JuoleviReilly Walsh
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Lucas Wallmark, Gerald Mayhew, Nolan VeseyLucas Wallmark, Gerald MayhewLucas Wallmark
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Josh Wesley, Tobias Bjornfot, Henry ThrunJosh WesleyJosh Wesley, Tobias Bjornfot
Tirs de pénalité
Mathieu Joseph, Mark McNeill, Hunter Shinkaruk, Kasper Bjorkqvist, Lucas Wallmark
Gardien
#1 : Felix Sanstrom, #2 : Tristan Jarry, #3 : 0
Lignes d’attaque personnalisées en prolongation
Mathieu Joseph, Josh Norris, Mark McNeill, Hunter Shinkaruk, Lucas Wallmark, Kasper Bjorkqvist, Kasper Bjorkqvist, Gerald Mayhew, Nolan Vesey, Milos Kelemen, Pavol Regenda
Lignes de défense personnalisées en prolongation
Olli Juolevi, Reilly Walsh, Tobias Bjornfot, Josh Wesley, Sean Durzi


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
1Americans2010010068-21000010034-11010000034-110.250610160034284225824426427497123184810220.00%9188.89%125851749.90%27656848.59%23743754.23%511284511222433218
2Barracuda220000001486110000009541100000053241.000142438003428422772442642749641522388337.50%11190.91%225851749.90%27656848.59%23743754.23%511284511222433218
3Checkers11000000642000000000001100000064221.0006101600342842222244264274937510133133.33%5180.00%025851749.90%27656848.59%23743754.23%511284511222433218
4Comets10001000321000000000001000100032121.000369003428422372442642749428624200.00%30100.00%025851749.90%27656848.59%23743754.23%511284511222433218
5Condors11000000927000000000001100000092721.0009152400342842234244264274923126176350.00%30100.00%025851749.90%27656848.59%23743754.23%511284511222433218
6Crunch1010000046-2000000000001010000046-200.000471110342842230244264274944126173133.33%30100.00%025851749.90%27656848.59%23743754.23%511284511222433218
7Griffins1000000156-1000000000001000000156-110.5005712003428422372442642749381312164125.00%6183.33%025851749.90%27656848.59%23743754.23%511284511222433218
8Gulls201010001011-11010000046-21000100065120.500101727003428422712442642749672010348225.00%5340.00%025851749.90%27656848.59%23743754.23%511284511222433218
9Icehogs412001001018-82110000076120100100312-930.375101828003428422126244264274913139408419421.05%20290.00%025851749.90%27656848.59%23743754.23%511284511222433218
10Penguins11000000312110000003120000000000021.000358003428422342442642749287812400.00%40100.00%025851749.90%27656848.59%23743754.23%511284511222433218
11Phantoms1000010056-11000010056-10000000000010.500591400342842237244264274940134246116.67%2150.00%025851749.90%27656848.59%23743754.23%511284511222433218
12Senators413000002025-5202000001114-321100000911-220.250203353003428422125244264274914442488416318.75%19857.89%025851749.90%27656848.59%23743754.23%511284511222433218
13Thunderbirds1010000035-21010000035-20000000000000.0003580034284222724426427493017415200.00%20100.00%025851749.90%27656848.59%23743754.23%511284511222433218
14Wolfpack11000000532110000005320000000000021.00057120034284224324426427493472206116.67%10100.00%025851749.90%27656848.59%23743754.23%511284511222433218
15Wranglers1010000036-31010000036-30000000000000.000358003428422302442642749331410184125.00%5260.00%025851749.90%27656848.59%23743754.23%511284511222433218
Total2481002301106111-51246002005356-31244021015355-2240.50010617828410342842278824426427498262472064641012322.77%982079.59%325851749.90%27656848.59%23743754.23%511284511222433218
_Since Last GM Reset2481002301106111-51246002005356-31244021015355-2240.50010617828410342842278824426427498262472064641012322.77%982079.59%325851749.90%27656848.59%23743754.23%511284511222433218
_Vs Conference1858013018290-8925002004247-5933011014043-3160.444821382200034284225952442642749611191170363812024.69%801976.25%325851749.90%27656848.59%23743754.23%511284511222433218
_Vs Division1026002003651-15513001002124-3513001001527-1260.300366197003428422309244264274934610410621645920.00%481177.08%125851749.90%27656848.59%23743754.23%511284511222433218

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2424W110617828478882624720646410
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
248102301106111
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
124602005356
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
124421015355
Derniers 10 matchs
WLOTWOTL SOWSOL
531001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1012322.77%982079.59%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
24426427493428422
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
25851749.90%27656848.59%23743754.23%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
511284511222433218


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
13Admirals3Senators7LSommaire du match
312Admirals3Americans4LR1Sommaire du match
518Admirals9Condors2WSommaire du match
625Senators6Admirals4LSommaire du match
944Admirals1Icehogs9LR1Sommaire du match
1052Icehogs3Admirals2LSommaire du match
1572Admirals2Icehogs3LXR1Sommaire du match
1777Americans4Admirals3LXR1Sommaire du match
2099Wranglers6Admirals3LSommaire du match
21107Admirals3Comets2WXSommaire du match
24124Admirals6Senators4WSommaire du match
26130Phantoms6Admirals5LXSommaire du match
29147Admirals5Barracuda3WSommaire du match
30155Senators8Admirals7LSommaire du match
33174Admirals6Checkers4WSommaire du match
35180Barracuda5Admirals9WSommaire du match
40206Icehogs3Admirals5WR1Sommaire du match
43221Thunderbirds5Admirals3LSommaire du match
47238Admirals6Gulls5WXSommaire du match
49249Gulls6Admirals4LSommaire du match
53268Wolfpack3Admirals5WSommaire du match
55282Admirals4Crunch6LSommaire du match
58293Admirals5Griffins6LXXSommaire du match
60302Penguins1Admirals3WSommaire du match
64323Canucks-Admirals-
66337Admirals-Islander-
68348Admirals-Senators-
70355Punishers-Admirals-
72371Admirals-Punishers-
73380Admirals-Marlies-
75386Wranglers-Admirals-
78400Admirals-Condors-
80410Admirals-Thunderbirds-
81415Phantoms-Admirals-
85437Griffins-Admirals-
89456Admirals-Marlies-
90463Comets-Admirals-
94482Admirals-Little Stars-
95490Eagles-Admirals-
99506Admirals-Phantoms-
101515Crunch-Admirals-
105535Barracuda-Admirals-
108552Admirals-Penguins-
110560Checkers-Admirals-
111572Admirals-Eagles-
115588Senators-Admirals-
117597Admirals-Wolfpack-
119608Admirals-Icehogs-
121618Bears-Admirals-
124635Admirals-Condors-
126642Admirals-Comets-
127649Moose-Admirals-
130665Admirals-Canucks-
131675Little Stars-Admirals-
134693Islander-Admirals-
136704Admirals-Americans-
137712Admirals-Comets-
140726Condors-Admirals-
143746Admirals-Rockets-
144753Firebirds-Admirals-
147767Admirals-Moose-
148775Comets-Admirals-
153798Moose-Admirals-
155810Admirals-Gulls-
157819Admirals-Firebirds-
159830Rockets-Admirals-
162849Firebirds-Admirals-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
165861Admirals-Bears-
167873Admirals-Rockets-
169882Wranglers-Admirals-
172896Admirals-Wranglers-
174908Marlies-Admirals-
178931Americans-Admirals-
181950Icehogs-Admirals-
183956Admirals-Checkers-
184963Admirals-Americans-
188983Americans-Admirals-
1921004Crunch-Admirals-
1961025Griffins-Admirals-
1991034Admirals-Barracuda-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance21,93811,288
Assistance PCT91.41%94.07%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
28 2769 - 92.29% 173,878$2,086,537$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,010,840$ 2,255,000$ 2,250,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,163$ 698,464$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,868,586$ 141 16,114$ 2,272,074$




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