Votre version du STHS est obsolète! Veuillez mettre à jour votre version du STHS!
Connexion

Admirals
GP: 80 | W: 33 | L: 35 | OTL: 12 | P: 78
GF: 332 | GA: 355 | PP%: 26.45% | PK%: 77.44%
DG: Dany Potvin | Morale : 20 | Moyenne d’équipe : 64
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Checkers
44-30-6, 94pts
8
FINAL
6 Admirals
33-35-12, 78pts
Team Stats
L1SéquenceW1
25-13-2Fiche domicile18-17-5
19-17-4Fiche domicile15-18-7
5-5-0Derniers 10 matchs3-7-0
4.48Buts par match 4.15
4.23Buts contre par match 4.44
22.79%Pourcentage en avantage numérique26.45%
75.17%Pourcentage en désavantage numérique77.44%
Admirals
33-35-12, 78pts
5
FINAL
2 Silver Knights
38-39-3, 79pts
Team Stats
W1SéquenceL3
18-17-5Fiche domicile22-17-1
15-18-7Fiche domicile16-22-2
3-7-0Derniers 10 matchs3-7-0
4.15Buts par match 3.79
4.44Buts contre par match 4.23
26.45%Pourcentage en avantage numérique19.75%
77.44%Pourcentage en désavantage numérique78.59%
Meneurs d'équipe
Buts
Hunter Shinkaruk
47
Passes
Mark McNeill
55
Points
Mark McNeill
101
Plus/Moins
Nolan Vesey
5
Victoires
Felix Sanstrom
18
Pourcentage d’arrêts
Linus Ullmark
0.912

Statistiques d’équipe
Buts pour
332
4.15 GFG
Tirs pour
2610
32.63 Avg
Pourcentage en avantage numérique
26.5%
82 GF
Début de zone offensive
35.4%
Buts contre
355
4.44 GAA
Tirs contre
2608
32.60 Avg
Pourcentage en désavantage numérique
77.4%%
67 GA
Début de la zone défensive
36.8%
Informations de l'équipe

Directeur généralDany Potvin
EntraîneurWayne Gretzky
DivisionJohn-Ahearne
ConférenceRobert-Lebel
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,746
Billets de saison300


Informations de la formation

Équipe Pro35
Équipe Mineure19
Limite contact 54 / 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
1Anton GustafssonX100.008029757383737672767775697274592738730282975,000$
2Mark McNeillX100.007338777476747175777174737358514037720251900,000$
3Hunter Shinkaruk (R)X100.006739797370737470677182617554514032700242950,000$
4Lucas Wallmark (R)X100.006332827677757768827465726851484428700233900,000$
5Kasper Bjorkqvist (R)X100.006539797461757076828868486251484547690242900,000$
6Gerald MayhewX100.005942756264718277696278557459544046670263750,000$
7Nolan Vesey (R)X100.007837747473567674627164575846473918660231795,000$
8Josh Norris (R)X100.005930766767716768605383467145426443630191500,000$
9Drew O'Connor (R)X100.007440646275537664596863515043435920610203999,999$
10Barrett Hayton (R)X100.005633655647536656737868424740407436580182500,000$
11Kristian Vesalainen (R)X100.006728645156586360645863545642426323570191500,000$
12Milos Kelemen (R)X100.005623604679606564655667345943427229560192500,000$
13Mattias BackmanX100.007231767774766870567659745964593223710261750,000$
14T.J BrodieX100.006732768068697271497964755768572639710281800,000$
15Carl Dahlstrom (R)X100.007218846960607059426661775547484018660231650,000$
16Reilly Walsh (R)X100.006033806963626156427050794643426142650191500,000$
17Josh Wesley (R)X100.005839836166696856416955724345454120640222600,000$
18Sean Durzi (R)X100.005640797247576180267257593944426638620202500,000$
19Ian Mitchell (R)X100.004934767458495773417758674144426917620191500,000$
20Sergei Zborovskiy (R)X100.005131786466606146264931724443435024580212500,000$
Rayé
1Riley Barber (R)X82.397134827064666268667366677448473732670241650,000$
2Ryan Olsen (R)X100.005332787269657366616467476946462919620241650,000$
3Troy Bourke (R)X100.004940666958576667646968405246462920600241650,000$
4Carsen Twarynski (R)X100.004334836060786050587060665343454519600212500,000$
5Filip Chlapik (R)X100.006135685565555760705467505243434919580211650,000$
6Bokondji Imama (R)X100.007351654472496658585861415944443919560222750,000$
7Joni Ikonen (R)X100.004419735339483970566049435641415620520191500,000$
8Ruslan Iskhakov (R)X100.005340545862584855465555355040407721510182500,000$
9Christian Djoos (R)X100.007232826968606467486849775548503320680241650,000$
10Olli Juolevi (R)X97.976632778463546280397154715146445928670203700,000$
11Grant Hutton (R)X100.007950526462665347366854563652534219610232750,000$
12Libor Hajek (R)X100.006141736061545758345343604942424819580202500,000$
MOYENNE D’ÉQUIPE99.39633574666563656556676259564846482763
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
1Tristan Jarry100.00767777727079746461817057474240700231650,000$
2Felix Sanstrom100.00677470707170676965657247456038670211650,000$
Rayé
1Linus Ullmark100.00636669575475796659747649473018650251550,000$
MOYENNE D’ÉQUIPE100.0069727266657573666273735146443267
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Wayne Gretzky70628291526855Can651850,000$


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
1Mark McNeillAdmirals (Nas)RW714655101-1243512810130711119114.98%52153021.561418323721510181816258.90%1635541141.3211001911
2Hunter ShinkarukAdmirals (Nas)LW66473784-18240121762587716418.22%38134820.431413275118701151195343.27%1045425111.2502000365
3Josh NorrisAdmirals (Nas)C80225173-31820111130157518214.01%27149718.7281523202080003594240.53%19272221000.9703000031
4Anton GustafssonAdmirals (Nas)C69234770-53001401162286916310.09%41138920.13416202218211281581155.37%13875826001.0122000431
5Kasper BjorkqvistAdmirals (Nas)RW79273966-1428076521986412313.64%25117114.8351116121451011193048.94%475114101.1301000102
6Gerald MayhewAdmirals (Nas)RW79332659020089832216013414.93%17110514.0056118950004374258.33%483320011.0704000445
7T.J BrodieAdmirals (Nas)D7584654-283958912314353675.59%89158021.0861622242000001163100%03946000.6800000023
8Lucas WallmarkAdmirals (Nas)C69242347-680691011344510317.91%3095713.8735875310161293052.06%6553020000.9800000021
9Olli JuoleviAdmirals (Nas)D787364333957710012957435.43%72149519.175813221860225156100%02847000.5801000200
10Riley BarberAdmirals (Nas)RW662218404605554136428716.18%2869010.46101180000540361.11%183015001.1602000313
11Mattias BackmanAdmirals (Nas)D70112839-72807795109392610.09%84129918.5651015141200002170010%02643100.6000000032
12Ian MitchellAdmirals (Nas)D6173037-320026868438318.33%49103316.95491313113011061110%01837000.7200000102
13Reilly WalshAdmirals (Nas)D8043135-9220711187833345.13%120167220.91381151730111176100%01373000.4200000011
14Nolan VeseyAdmirals (Nas)LW241112235140361749174122.45%1033313.882243290000200063.16%1996001.3800000012
15Barrett HaytonAdmirals (Nas)C7671522130057497615329.21%97289.580000170000140049.70%33894000.6000000020
16Pavol RegendaPredatorsLW7891322-83201016761213514.75%20108213.8701171110110220051.92%52518000.4100000121
17Christian DjoosAdmirals (Nas)D5811213-186036692820133.57%5579813.76011182000087000%0425000.3300000010
18Markus GranlundPredatorsC55813-36014123552214.29%211523.103695220000180051.35%3752002.2500000200
19Drew O'ConnorAdmirals (Nas)LW665712-1350080436528327.69%1377611.770116680001290031.82%22710000.3100000000
20Carl DahlstromAdmirals (Nas)D38088-220215517850%3649112.93000034000044000%0117000.3300000001
21Milos KelemenAdmirals (Nas)LW57448-122052182181019.05%35389.45011027000000056.52%2324000.3011000000
22Josh WesleyAdmirals (Nas)D54066-44073118760%274578.4800005000018000%0118000.2601000000
23Kristian VesalainenAdmirals (Nas)LW3424621203111165912.50%63069.03000010000170050.00%636000.3900000010
24Sean DurziAdmirals (Nas)D77235-1601114196410.53%155597.2700004000017100%018000.1800000000
25Sergei ZborovskiyAdmirals (Nas)D330552001135220%61634.960000000003000%016000.6100000000
26Ruslan IskhakovAdmirals (Nas)C37134-314081553220.00%22296.2100000000000036.07%6113000.3500000000
27Joni IkonenAdmirals (Nas)C61121202241425.00%2559.3100000000000038.10%2101000.7200000000
28Ryan OlsenAdmirals (Nas)C5202-1001340150.00%1408.0800000000001046.67%1510000.9900000010
29Troy BourkeAdmirals (Nas)LW5022-120123330%1408.07000000000000100.00%100000.9900000000
30Bokondji ImamaAdmirals (Nas)LW4011000521010%0348.580000000004000%102000.5800000000
31Grant HuttonAdmirals (Nas)D20011-2601331000%21065.350000100000000%003000.1900000000
32Filip ChlapikAdmirals (Nas)C5000000110000%061.3200000000050050.00%20000000000000
33Morgan RiellyPredatorsD1000-200000210%11414.750000200000000%00000000000000
34Carsen TwarynskiAdmirals (Nas)LW5000000010000%020.440000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne1631331572903-17459715160716632610890147112.68%8832365614.508214722925823014711451796321548.13%4947507561460.76418001303431
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)40181350.8644.40200340147108051860003436001
2Tristan JarryAdmirals (Nas)51142170.8634.472607201941413657410.571144435200
3Linus UllmarkAdmirals (Nas)51100.9122.67225001011454100029000
Statistiques d’équipe totales ou en moyenne963335120.8654.3648366035126071229111148080201


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
Anton GustafssonAdmirals (Nas)C281990-01-01No193 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm975,000$4,851$0$0$No975,000$--------No--------
Barrett HaytonAdmirals (Nas)C182000-01-01Yes207 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Lien
Bokondji ImamaAdmirals (Nas)LW221996-01-01Yes221 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm750,000$3,731$0$0$No750,000$--------No--------
Carl DahlstromAdmirals (Nas)D231995-01-01Yes185 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm650,000$3,234$0$0$No------------------
Carsen TwarynskiAdmirals (Nas)LW211997-01-01Yes198 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------
Christian DjoosAdmirals (Nas)D241994-01-01Yes158 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm650,000$3,234$0$0$No------------------
Drew O'ConnorAdmirals (Nas)LW201998-01-01Yes190 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm999,999$4,975$0$0$No999,999$1,000,000$-------NoNo-------
Felix SanstromAdmirals (Nas)G211997-01-01No191 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$3,234$0$0$No------------------
Filip ChlapikAdmirals (Nas)C211997-01-01Yes194 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$3,234$0$0$No------------------
Gerald MayhewAdmirals (Nas)RW261992-01-01No161 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm750,000$3,731$0$0$No750,000$750,000$-------NoNo-------
Grant HuttonAdmirals (Nas)D231995-01-01Yes207 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm750,000$3,731$0$0$No750,000$--------No--------
Hunter ShinkarukAdmirals (Nas)LW241994-01-01Yes185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm950,000$4,726$0$0$No950,000$--------No--------
Ian MitchellAdmirals (Nas)D191999-01-01Yes173 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Joni IkonenAdmirals (Nas)C191999-01-01Yes171 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Josh NorrisAdmirals (Nas)C191999-01-01Yes199 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Josh WesleyAdmirals (Nas)D221996-01-01Yes201 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm600,000$2,985$0$0$No600,000$--------No--------
Kasper BjorkqvistAdmirals (Nas)RW241994-01-01Yes194 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm900,000$4,478$0$0$No900,000$--------No--------
Kristian VesalainenAdmirals (Nas)LW191999-01-01Yes207 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Libor HajekAdmirals (Nas)D201998-01-01Yes205 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------
Linus UllmarkAdmirals (Nas)G251993-01-01No198 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm550,000$2,736$0$0$No------------------
Lucas WallmarkAdmirals (Nas)C231995-01-01Yes185 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm900,000$4,478$0$0$No900,000$900,000$-------NoNo-------
Mark McNeillAdmirals (Nas)RW251993-01-01No212 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$4,478$0$0$No------------------
Mattias BackmanAdmirals (Nas)D261992-01-01No180 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$3,731$0$0$No------------------
Milos KelemenAdmirals (Nas)LW191999-01-01Yes210 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Lien
Nolan VeseyAdmirals (Nas)LW231995-01-01Yes210 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm795,000$3,955$0$0$No------------------
Olli JuoleviAdmirals (Nas)D201998-01-01Yes183 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm700,000$3,483$0$0$No700,000$700,000$-------NoNo-------
Reilly WalshAdmirals (Nas)D191999-01-01Yes185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Riley Barber (sur la masse salariale)Admirals (Nas)RW241994-01-01Yes194 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm650,000$3,234$0$0$Yes------------------
Ruslan IskhakovAdmirals (Nas)C182000-01-01Yes165 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Lien
Ryan OlsenAdmirals (Nas)C241994-01-01Yes187 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm650,000$3,234$0$0$No------------------
Sean DurziAdmirals (Nas)D201998-01-01Yes195 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Lien
Sergei ZborovskiyAdmirals (Nas)D211997-01-01Yes194 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------
T.J BrodieAdmirals (Nas)D281990-01-01No182 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm800,000$3,980$0$0$No------------------
Tristan JarryAdmirals (Nas)G231995-01-01No185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$3,234$0$0$No------------------
Troy BourkeAdmirals (Nas)LW241994-01-01Yes156 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm650,000$3,234$0$0$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3522.14190 Lbs6 ft11.60664,857$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Hunter ShinkarukAnton GustafssonMark McNeill40122
2Nolan VeseyLucas WallmarkKasper Bjorkqvist30122
3Drew O'ConnorJosh NorrisGerald Mayhew20122
4Kristian VesalainenBarrett HaytonAnton Gustafsson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1T.J BrodieMattias Backman40122
2Carl DahlstromReilly Walsh30122
3Josh WesleyIan Mitchell20122
4Sean DurziSergei Zborovskiy10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Hunter ShinkarukAnton GustafssonMark McNeill60122
2Nolan VeseyLucas WallmarkKasper Bjorkqvist40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1T.J BrodieMattias Backman60122
2Carl DahlstromReilly Walsh40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Anton GustafssonMark McNeill60122
2Lucas WallmarkHunter Shinkaruk40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1T.J BrodieMattias Backman60122
2Carl DahlstromReilly Walsh40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Anton Gustafsson60122T.J BrodieMattias Backman60122
2Mark McNeill40122Carl DahlstromReilly Walsh40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Anton GustafssonMark McNeill60122
2Lucas WallmarkHunter Shinkaruk40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1T.J BrodieMattias Backman60122
2Carl DahlstromReilly Walsh40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Hunter ShinkarukAnton GustafssonMark McNeillT.J BrodieMattias Backman
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Hunter ShinkarukAnton GustafssonMark McNeillT.J BrodieMattias Backman
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Milos Kelemen, Gerald Mayhew, Josh NorrisMilos Kelemen, Gerald MayhewJosh Norris
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Josh Wesley, Ian Mitchell, Sean DurziJosh WesleyIan Mitchell, Sean Durzi
Tirs de pénalité
Anton Gustafsson, Mark McNeill, Lucas Wallmark, Hunter Shinkaruk, Kasper Bjorkqvist
Gardien
#1 : Tristan Jarry, #2 : Felix Sanstrom
Lignes d’attaque personnalisées en prolongation
Anton Gustafsson, Mark McNeill, Lucas Wallmark, Hunter Shinkaruk, Kasper Bjorkqvist, Gerald Mayhew, Gerald Mayhew, Nolan Vesey, Josh Norris, Drew O'Connor, Barrett Hayton
Lignes de défense personnalisées en prolongation
T.J Brodie, Mattias Backman, Carl Dahlstrom, Reilly Walsh, Josh Wesley


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
1Americans7330000134313413000001623-7320000011881070.50034629600851161286232843876873342407979137311032.26%38684.21%0839173648.33%922180751.02%620136645.39%167594117197501445715
2Barracuda301001101415-1200001108801010000067-130.50014223600851161286101843876873349756206513538.46%10370.00%0839173648.33%922180751.02%620136645.39%167594117197501445715
3Bears21000001761110000003121000000145-130.750712190085116128682843876873347932163122100.00%80100.00%0839173648.33%922180751.02%620136645.39%167594117197501445715
4Canucks30300000716-91010000035-220200000411-700.00071219008511612869584387687334983120561317.69%10280.00%0839173648.33%922180751.02%620136645.39%167594117197501445715
5Checkers413000001923-4202000001115-42110000088020.25019335200851161286107843876873341513830739222.22%15380.00%0839173648.33%922180751.02%620136645.39%167594117197501445715
6Comets321000001512311000000523211000001010040.6671523380085116128611084387687334882326664125.00%13561.54%0839173648.33%922180751.02%620136645.39%167594117197501445715
7Condors411002001823-51010000027-5310002001616040.500183149008511612861338438768733412948207918527.78%10370.00%0839173648.33%922180751.02%620136645.39%167594117197501445715
8Crunch20200000410-61010000014-31010000036-300.0004711008511612865184387687334571312419111.11%60100.00%0839173648.33%922180751.02%620136645.39%167594117197501445715
9Eagles20200000513-81010000016-51010000047-300.0005101500851161286658438768733466221848500.00%9366.67%0839173648.33%922180751.02%620136645.39%167594117197501445715
10Griffins32001000191272200000015961000100043161.000193453008511612861028438768733410036104710330.00%5180.00%0839173648.33%922180751.02%620136645.39%167594117197501445715
11Icehogs6410010026224330000001486311001001214-290.7502645710085116128619584387687334186745914130930.00%29968.97%0839173648.33%922180751.02%620136645.39%167594117197501445715
12Islander21100000101001010000057-21100000053220.500101727008511612866684387687334572414345120.00%7357.14%1839173648.33%922180751.02%620136645.39%167594117197501445715
13Little Stars3120000078-1211000006601010000012-120.33371118008511612861008438768733495291459900.00%7271.43%0839173648.33%922180751.02%620136645.39%167594117197501445715
14Marlies3200010013112210001008711100000054150.83313223500851161286109843876873349722185911436.36%9277.78%0839173648.33%922180751.02%620136645.39%167594117197501445715
15Moose30300000917-820200000611-51010000036-300.0009162500851161286105843876873349031146412433.33%7357.14%0839173648.33%922180751.02%620136645.39%167594117197501445715
16Penguins2000020057-21000010023-11000010034-120.5005813008511612865884387687334702019449111.11%8187.50%0839173648.33%922180751.02%620136645.39%167594117197501445715
17Phantoms311000011114-31000000167-12110000057-230.500112031008511612861068438768733410234206710440.00%10190.00%1839173648.33%922180751.02%620136645.39%167594117197501445715
18Punishers2110000011110110000007431010000047-320.5001117280085116128666843876873346824184410330.00%9188.89%1839173648.33%922180751.02%620136645.39%167594117197501445715
19Reign31101000111101010000036-32100100085340.6671120310085116128691843876873348830305610110.00%14285.71%0839173648.33%922180751.02%620136645.39%167594117197501445715
20Rocket302001001114-31010000023-120100100911-210.1671114250085116128697843876873341063614601417.14%70100.00%0839173648.33%922180751.02%620136645.39%167594117197501445715
21Senators64200000312473300000019118312000001213-180.66731578800851161286177843876873342037270118331339.39%35877.14%1839173648.33%922180751.02%620136645.39%167594117197501445715
22Silver Knights321000001091110000004312110000066040.667101929008511612869784387687334922412598225.00%6183.33%0839173648.33%922180751.02%620136645.39%167594117197501445715
23Thunderbirds2010010069-31000010045-11010000024-210.25061117008511612865684387687334632283812216.67%4175.00%0839173648.33%922180751.02%620136645.39%167594117197501445715
24Wolfpack312000001718-121100000141311010000035-220.33317294610851161286104843876873349534225815426.67%11463.64%0839173648.33%922180751.02%620136645.39%167594117197501445715
25Wranglers3210000012932110000010821100000021140.6671220320085116128610584387687334912820638337.50%10370.00%0839173648.33%922180751.02%620136645.39%167594117197501445715
Total80303502913332355-2340171700411175182-740131802502157173-16780.48833257290410851161286261084387687334260888260316073108226.45%2976777.44%4839173648.33%922180751.02%620136645.39%167594117197501445715
_Since Last GM Reset80303502913332355-2340171700411175182-740131802502157173-16780.48833257290410851161286261084387687334260888260316073108226.45%2976777.44%4839173648.33%922180751.02%620136645.39%167594117197501445715
_Vs Conference47201602612209203624119002111091081239702401100955540.5742093635720085116128615538438768733415295463749562006231.00%1844177.72%2839173648.33%922180751.02%620136645.39%167594117197501445715
_Vs Division1911600101917714107300000494279430010142357240.632911642550085116128660484387687334629225208396943234.04%1022377.45%1839173648.33%922180751.02%620136645.39%167594117197501445715

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8078W133257290426102608882603160710
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8030352913332355
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4017170411175182
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4013182502157173
Derniers 10 matchs
WLOTWOTL SOWSOL
370000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3108226.45%2976777.44%4
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
84387687334851161286
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
839173648.33%922180751.02%620136645.39%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
167594117197501445715


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
28Americans6Admirals9WR1Sommaire du match
421Admirals3Americans4LXXSommaire du match
633Americans7Admirals1LR1Sommaire du match
740Admirals5Senators8LSommaire du match
954Admirals3Icehogs4LXR1Sommaire du match
1268Senators4Admirals5WSommaire du match
1684Icehogs2Admirals5WR1Sommaire du match
19107Wranglers3Admirals8WSommaire du match
21116Admirals2Checkers4LSommaire du match
23122Admirals5Comets2WSommaire du match
25133Admirals5Condors6LXSommaire du match
27144Admirals2Senators4LSommaire du match
29154Americans5Admirals3LR1Sommaire du match
32173Griffins3Admirals7WSommaire du match
36190Marlies5Admirals4LXSommaire du match
38201Admirals5Icehogs3WR1Sommaire du match
40213Admirals4Phantoms2WSommaire du match
42223Phantoms7Admirals6LXXSommaire du match
44228Admirals5Senators1WSommaire du match
47246Admirals5Comets8LSommaire du match
49253Griffins6Admirals8WSommaire du match
53274Admirals4Rocket5LXSommaire du match
54281Eagles6Admirals1LSommaire du match
59302Icehogs4Admirals5WR1Sommaire du match
62319Admirals3Moose6LSommaire du match
64329Penguins3Admirals2LXSommaire du match
67348Icehogs2Admirals4WR1Sommaire du match
69361Admirals4Griffins3WXSommaire du match
71373Admirals6Checkers4WSommaire du match
72380Moose5Admirals3LSommaire du match
77403Crunch4Admirals1LSommaire du match
80418Admirals5Islander3WSommaire du match
82428Bears1Admirals3WSommaire du match
85446Reign6Admirals3LSommaire du match
89467Admirals2Wranglers1WSommaire du match
91476Silver Knights3Admirals4WSommaire du match
94492Admirals1Little Stars2LSommaire du match
96500Admirals7Americans3WR1Sommaire du match
97509Condors7Admirals2LSommaire du match
100525Thunderbirds5Admirals4LXSommaire du match
104545Admirals1Phantoms5LSommaire du match
105555Wranglers5Admirals2LSommaire du match
110576Checkers7Admirals5LSommaire du match
112589Admirals6Barracuda7LSommaire du match
115600Admirals4Eagles7LSommaire du match
116608Senators4Admirals9WSommaire du match
119627Moose6Admirals3LSommaire du match
122643Admirals2Thunderbirds4LSommaire du match
124653Canucks5Admirals3LSommaire du match
126667Admirals3Reign2WXSommaire du match
128678Islander7Admirals5LSommaire du match
131692Admirals4Bears5LXXSommaire du match
133706Rocket3Admirals2LSommaire du match
135716Admirals3Wolfpack5LSommaire du match
138732Admirals3Penguins4LXSommaire du match
139738Senators3Admirals5WSommaire du match
142758Comets2Admirals5WSommaire du match
144772Admirals6Condors7LXSommaire du match
145776Admirals2Canucks7LSommaire du match
146785Admirals4Punishers7LSommaire du match
147791Punishers4Admirals7WSommaire du match
152812Admirals5Reign3WSommaire du match
153818Barracuda5Admirals4LXSommaire du match
156833Admirals8Americans1WR1Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
159844Admirals5Condors3WSommaire du match
160850Little Stars2Admirals3WSommaire du match
164870Marlies2Admirals4WSommaire du match
166878Admirals5Rocket6LSommaire du match
169893Barracuda3Admirals4WXXSommaire du match
171906Admirals2Canucks4LSommaire du match
172914Admirals3Crunch6LSommaire du match
174923Wolfpack6Admirals9WSommaire du match
176932Admirals4Icehogs7LR1Sommaire du match
179949Admirals1Silver Knights4LSommaire du match
180955Admirals5Marlies4WSommaire du match
181961Little Stars4Admirals3LSommaire du match
185983Americans5Admirals3LR1Sommaire du match
1901004Wolfpack7Admirals5LSommaire du match
1961025Checkers8Admirals6LSommaire du match
1981033Admirals5Silver Knights2WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance72,99336,828
Assistance PCT91.24%92.07%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2746 - 91.52% 172,794$6,911,763$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,136,670$ 2,327,000$ 2,308,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,254$ 2,282,454$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 15,806$ 15,806$




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