Connexion

Admirals
GP: 80 | W: 34 | L: 39 | OTL: 7 | P: 75
GF: 324 | GA: 372 | PP%: 19.75% | PK%: 78.26%
DG: Dany Potvin | Morale : 25 | Moyenne d’équipe : 64
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Centre de jeu
Admirals
34-39-7, 75pts
5
FINAL
6 Rocket
47-29-4, 98pts
Team Stats
OTW1StreakL1
17-20-3Home Record25-14-1
17-19-4Away Record22-15-3
3-6-1Last 10 Games6-3-1
4.05Buts par match 4.26
4.65Buts contre par match 4.16
19.75%Pourcentage en avantage numérique24.29%
78.26%Pourcentage en désavantage numérique78.25%
Admirals
34-39-7, 75pts
5
FINAL
4 Monsters
41-32-7, 89pts
Team Stats
OTW1StreakOTL1
17-20-3Home Record23-13-4
17-19-4Away Record18-19-3
3-6-1Last 10 Games4-4-2
4.05Buts par match 4.00
4.65Buts contre par match 4.10
19.75%Pourcentage en avantage numérique22.60%
78.26%Pourcentage en désavantage numérique79.94%
Meneurs d'équipe
Buts
Nicolas Kerdiles
72
Passes
Nicolas Kerdiles
69
Points
Nicolas Kerdiles
141
Plus/Moins
Markus Granlund
2
Victoires
Tristan Jarry
20
Pourcentage d’arrêts
Linus Ullmark
0.865

Statistiques d’équipe
Buts pour
324
4.05 GFG
Tirs pour
2629
32.86 Avg
Pourcentage en avantage numérique
19.8%
64 GF
Début de zone offensive
36.3%
Buts contre
372
4.65 GAA
Tirs contre
2504
31.30 Avg
Pourcentage en désavantage numérique
78.3%
65 GA
Début de la zone défensive
35.2%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,832
Billets de saison300


Informations de la formation

Équipe Pro37
Équipe Mineure19
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
1Anton Gustafsson (R)X100.007729787480737374767873697466533339720261975,000$
2Markus Granlund (R)X100.007429757575777371787771677554464531710231925,000$
3Nicolas Kerdiles (R)X100.006843717869777479687471717058504948710222650,000$
4Blake GeoffrionX100.007037757378697476647375587569602542700281995,000$
5Joel Armia (R)X100.007432777277737270757380577253475040700231650,000$
6Mark McNeill (R)X100.006938757272726973757173697148474820690231900,000$
7Nicolas Deslauriers (R)X100.006334857664796574527473716155483645690251800,000$
8Brett Connolly (R)X100.006529836475666970706775536948474033660242725,000$
9Hunter Shinkaruk (R)X100.006139777363666965656779597246464845660222550,000$
10Lucas Wallmark (R)X100.005732807373717361766759676144445345650212550,000$
11Kasper Bjorkqvist (R)X100.006539766956736872808462465646465435650222500,000$
12Freddie Hamilton (R)X100.006730817363666563697263615646463545640241750,000$
13Riley Barber (R)X100.006632796560626168667162647144444525640221900,000$
14Josh Morrissey (R)X100.007739777673767673617766736359435943720212950,000$
15T.J Brodie (R)X100.006132748165667076457963725558513225690261750,000$
16Mattias Backman (R)X100.006831807570726470567254705655543845680241650,000$
17Andreas Englund (R)X100.006831836864726067486149785148436120660202650,000$
18Travis Dermott (R)X100.005325788559547387417958674847437039660201500,000$
19Christian Djoos (R)X100.006932836664556462436544755144443945650221500,000$
20Carl Dahlstrom (R)X100.006618846455546657356256724943444737620211600,000$
21Olli Juolevi (R)X100.005632728052425176296345644140407228600182500,000$
Rayé
1Chris LawrenceX100.006926757975777069697769657165572019700291930,000$
2Alexandre Mallet (R)X100.007645707166587963566260475647462719610241500,000$
3Mark MacMillan (R)X100.005035666454626366647663515646463318610241350,000$
4Ryan Olsen (R)X100.005027746867616963565862426444443818580221600,000$
5Stanislav Galiev (R)X100.005231736361614970555659487146463220580241500,000$
6Troy Bourke (R)X100.004536626455536361606465354944443820560221500,000$
7Carsen Twarynski (R)X100.004130815453765645566656605041435720560192500,000$
8Filip Chlapik (R)X100.005732655158515356625063465041416319540191500,000$
9Adam Almquist (R)X100.006034727559666572437346654947473119640251500,000$
10Trevor Van Riemsdyk (R)X100.006032767061616373476653675753553315640251675,000$
11Josh Wesley (R)X100.005538795962666450356449683842425119600202650,000$
12Sergei Zborovskiy (R)X100.004627746062555841224426694141416420540192500,000$
13Libor Hajek (R)X100.005937685556504854294840554640406220530182500,000$
MOYENNE D’ÉQUIPE100.00623376706565666757686162594946453064
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 Jarry100.00737474676679715858807146445044670211525,000$
2Felix Sanstrom100.00606763576463596259566841417443600191500,000$
Rayé
1Linus Ullmark100.00596267535171756354707247453919620232650,000$
MOYENNE D’ÉQUIPE100.0064686859607168615769704543543563
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Wayne Gretzky70628291526855Can6311,000,000$


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
1Nicolas KerdilesAdmirals (Nas)LW807269141-9105513413239011620918.46%43177022.131818365127800051658845.86%1818431061.59161001572
2Markus GranlundAdmirals (Nas)C76396710625601331502309414516.96%43159520.99619253624001161833453.00%20324521001.3314000588
3Joel ArmiaAdmirals (Nas)RW77204565-1249510866171629811.70%30147319.1421719242580000123156.60%1062619000.8812000323
4Blake GeoffrionAdmirals (Nas)LW803621570315120882407913815.00%15127115.8965112218901171041047.27%554921010.9004010045
5Travis DermottAdmirals (Nas)D7616355123804495156605810.26%78154520.347714232000113125400.00%02834000.6611000223
6Anton GustafssonAdmirals (Nas)C49133043-426088106125468210.40%1590118.39538161490000720054.44%9242915000.9504000031
7Nicolas DeslauriersAdmirals (Nas)LW80192039-172078801856611910.27%27106413.31134335202101201234.00%504524000.7300000213
8Kasper BjorkqvistAdmirals (Nas)RW80152439-1820083401283410111.72%1393011.64347998000003057.78%453418000.8400000202
9Josh MorrisseyAdmirals (Nas)D6543337-1635510211711034343.64%100168425.92279242520004201000.00%04063000.4412100023
10Mark McNeillAdmirals (Nas)RW63161935-53758469117467813.68%2197015.4052710961121650044.05%843220100.7201000212
11T.J BrodieAdmirals (Nas)D6253035-15320759810030435.00%85131521.223710121830004161010.00%02637000.5300000200
12Lucas WallmarkAdmirals (Nas)C80112334-18160609564183917.19%29100312.540112551124420152.03%517824100.6800000002
13Mattias BackmanAdmirals (Nas)D8033033-1038091936832364.41%79150918.8624691710002156000.00%01549000.4400000010
14Hunter ShinkarukAdmirals (Nas)LW80121628-22260573712237669.84%147389.230000150002311047.62%213512000.7601000000
15Scott LaughtonPredatorsC1581624-1260333367274011.94%1133222.18371017570000310053.48%546132001.4411000111
16Freddie HamiltonAdmirals (Nas)C8015722-3120545980283918.75%147389.23000020001434046.67%3151112000.6000000011
17Andreas EnglundAdmirals (Nas)D7041721226061946119396.56%81132919.0002261420112162100.00%0639000.3200000000
18Brett ConnollyAdmirals (Nas)RW657815-86057397628459.21%85909.090111181011100158.33%1295000.5100000000
19Chris LawrenceAdmirals (Nas)RW13461004022114082510.00%220816.07101739000181033.33%1814000.9600000100
20Riley BarberAdmirals (Nas)RW46279-66021122910196.90%62335.0800003000061020.00%1002000.7700000010
21Olli JuoleviAdmirals (Nas)D81088-243402128101220.00%346828.43022052000113000.00%0420000.2300000000
22Christian DjoosAdmirals (Nas)D80066-14603155199100.00%557199.00011019011037000.00%0323000.1700000000
23Carl DahlstromAdmirals (Nas)D67055-760304826860.00%456059.0400004000040000.00%0018000.1700000000
24Filip ChlapikAdmirals (Nas)C10101-3206641225.00%1919.1500000000041048.48%3301000.2200000000
25Adam AlmquistAdmirals (Nas)D6000200211000.00%0284.670000000000000.00%000000.0000000000
26Alexandre MalletAdmirals (Nas)LW6000000000000.00%0132.19000000000110020.00%500000.0000000000
27Josh WesleyAdmirals (Nas)D15000100002110.00%1422.850000000002000.00%001000.0000000000
28Mark MacMillanAdmirals (Nas)RW15000-100100000.00%050.350000000000000.00%000000.0000000000
29Ryan OlsenAdmirals (Nas)C6000000001000.00%0122.1400000000000050.00%400000.0000000000
30Trevor Van RiemsdykAdmirals (Nas)D37000-102016229450.00%193118.4200001000017000.00%017000.0000000000
Statistiques d’équipe totales ou en moyenne1640322542864-22562125161216742631909147912.24%8692372114.466411017427225715712541837321852.06%4958544522270.73626210353436
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
1Tristan JarryAdmirals (Nas)62202560.8604.313106402231596717520.562164931000
2Felix SanstromAdmirals (Nas)35131210.8434.91156400128815439120.83362846001
3Linus UllmarkAdmirals (Nas)41200.8654.3916400128938000.000033000
Statistiques d’équipe totales ou en moyenne101343970.8554.5148354036325001194640.636228080001


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantPlafond salarial 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 10Link
Adam AlmquistAdmirals (Nas)D251991-01-01Yes174 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Alexandre MalletAdmirals (Nas)LW241992-01-01Yes195 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Andreas EnglundAdmirals (Nas)D201996-01-01Yes189 Lbs6 ft3NoNoNo2Pro & Farm650,000$0$0$No750,000$
Anton GustafssonAdmirals (Nas)C261990-01-01Yes193 Lbs6 ft2NoNoNo1Pro & Farm975,000$0$0$No
Blake GeoffrionAdmirals (Nas)LW281988-01-01No192 Lbs6 ft1NoNoNo1Pro & Farm995,000$0$0$No
Brett ConnollyAdmirals (Nas)RW241992-01-01Yes181 Lbs6 ft2NoNoNo2Pro & Farm725,000$0$0$No725,000$
Carl DahlstromAdmirals (Nas)D211995-01-01Yes185 Lbs6 ft4NoNoNo1Pro & Farm600,000$0$0$No
Carsen TwarynskiAdmirals (Nas)LW191997-01-01Yes198 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Chris LawrenceAdmirals (Nas)RW291987-01-01No211 Lbs6 ft4NoNoNo1Pro & Farm930,000$0$0$No
Christian DjoosAdmirals (Nas)D221994-01-01Yes158 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Felix SanstromAdmirals (Nas)G191997-01-01No191 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Filip ChlapikAdmirals (Nas)C191997-01-01Yes194 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Freddie HamiltonAdmirals (Nas)C241992-01-01Yes195 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$No
Hunter ShinkarukAdmirals (Nas)LW221994-01-01Yes185 Lbs5 ft11NoNoNo2Pro & Farm550,000$0$0$No575,000$
Joel ArmiaAdmirals (Nas)RW231993-01-01Yes205 Lbs6 ft3NoNoNo1Pro & Farm650,000$0$0$No
Josh MorrisseyAdmirals (Nas)D211995-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm950,000$0$0$No1,000,000$
Josh WesleyAdmirals (Nas)D201996-01-01Yes201 Lbs6 ft3NoNoNo2Pro & Farm650,000$0$0$No650,000$
Kasper BjorkqvistAdmirals (Nas)RW221994-01-01Yes194 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Libor HajekAdmirals (Nas)D181998-01-01Yes205 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Linus UllmarkAdmirals (Nas)G231993-01-01No198 Lbs6 ft3NoNoNo2Pro & Farm650,000$0$0$No750,000$
Lucas WallmarkAdmirals (Nas)C211995-01-01Yes185 Lbs5 ft11NoNoNo2Pro & Farm550,000$0$0$No575,000$
Mark MacMillanAdmirals (Nas)RW241992-01-01Yes172 Lbs6 ft0NoNoNo1Pro & Farm350,000$0$0$No
Mark McNeillAdmirals (Nas)RW231993-01-01Yes212 Lbs6 ft2NoNoNo1Pro & Farm900,000$0$0$No
Markus GranlundAdmirals (Nas)C231993-01-01Yes178 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$No
Mattias BackmanAdmirals (Nas)D241992-01-01Yes180 Lbs6 ft2NoNoNo1Pro & Farm650,000$0$0$No
Nicolas DeslauriersAdmirals (Nas)LW251991-01-01Yes209 Lbs6 ft1NoNoNo1Pro & Farm800,000$0$0$No
Nicolas KerdilesAdmirals (Nas)LW221994-01-01Yes191 Lbs5 ft11NoNoNo2Pro & Farm650,000$0$0$No750,000$
Olli JuoleviAdmirals (Nas)D181998-01-01Yes183 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Riley BarberAdmirals (Nas)RW221994-01-01Yes194 Lbs5 ft11NoNoNo1Pro & Farm900,000$0$0$No
Ryan OlsenAdmirals (Nas)C221994-01-01Yes187 Lbs6 ft1NoNoNo1Pro & Farm600,000$0$0$No
Sergei ZborovskiyAdmirals (Nas)D191997-01-01Yes194 Lbs6 ft4NoNoNo2Pro & Farm500,000$0$0$No600,000$
Stanislav GalievAdmirals (Nas)RW241992-01-01Yes187 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
T.J BrodieAdmirals (Nas)D261990-01-01Yes182 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$No
Travis DermottAdmirals (Nas)D201996-01-01Yes205 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Trevor Van RiemsdykAdmirals (Nas)D251991-01-01Yes188 Lbs6 ft2NoNoNo1Pro & Farm675,000$0$0$No
Tristan JarryAdmirals (Nas)G211995-01-01No185 Lbs6 ft2NoNoNo1Pro & Farm525,000$0$0$No
Troy BourkeAdmirals (Nas)LW221994-01-01Yes156 Lbs5 ft10NoNoNo1Pro & Farm500,000$0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3722.43190 Lbs6 ft11.35644,595$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nicolas KerdilesMarkus GranlundJoel Armia40122
2Nicolas DeslauriersAnton GustafssonMark McNeill30122
3Blake GeoffrionLucas WallmarkKasper Bjorkqvist20122
4Hunter ShinkarukFreddie HamiltonBrett Connolly10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh MorrisseyTravis Dermott40122
2Andreas EnglundOlli Juolevi30122
3Christian DjoosMattias Backman20122
4Carl DahlstromT.J Brodie10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nicolas KerdilesMarkus GranlundJoel Armia60122
2Nicolas DeslauriersAnton GustafssonKasper Bjorkqvist40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh MorrisseyTravis Dermott60122
2Andreas EnglundOlli Juolevi40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Markus GranlundNicolas Deslauriers60122
2Lucas WallmarkMark McNeill40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh MorrisseyTravis Dermott60122
2Andreas EnglundT.J Brodie40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mark McNeill60122Josh MorrisseyTravis Dermott60122
2Nicolas Deslauriers40122Andreas EnglundT.J Brodie40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Markus GranlundNicolas Kerdiles60122
2Anton GustafssonJoel Armia40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh MorrisseyTravis Dermott60122
2Andreas EnglundOlli Juolevi40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nicolas KerdilesAnton GustafssonJoel ArmiaJosh MorrisseyTravis Dermott
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nicolas KerdilesAnton GustafssonMark McNeillJosh MorrisseyTravis Dermott
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Blake Geoffrion, Nicolas Deslauriers, Kasper BjorkqvistKasper Bjorkqvist, Hunter ShinkarukLucas Wallmark
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Olli Juolevi, Mattias Backman, Christian DjoosOlli JuoleviCarl Dahlstrom, Christian Djoos
Tirs de pénalité
Anton Gustafsson, Markus Granlund, Nicolas Kerdiles, Joel Armia, Blake Geoffrion
Gardien
#1 : Felix Sanstrom, #2 : Tristan Jarry


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
1Barracuda32100000201462110000011921100000095440.6672034540089114116791881853877409837286712325.00%14471.43%0942179952.36%899174551.52%740141452.33%175499816477491443725
2Bears220000001073110000004221100000065141.000101626008911411676788185387740581510395240.00%5180.00%0942179952.36%899174551.52%740141452.33%175499816477491443725
3Comets311001001518-321000100128410100000310-730.50015284300891141167106881853877401094314589222.22%7185.71%0942179952.36%899174551.52%740141452.33%175499816477491443725
4Condors30300000611-52020000036-31010000035-200.0006915008911411679088185387740892728549111.11%13376.92%0942179952.36%899174551.52%740141452.33%175499816477491443725
5Crunch210000101183110000006421000001054141.000111829008911411677488185387740551918369444.44%9277.78%0942179952.36%899174551.52%740141452.33%175499816477491443725
6Devils522010002225-3220000001284302010001017-760.600223557008911411671578818538774018449301049111.11%15566.67%0942179952.36%899174551.52%740141452.33%175499816477491443725
7Eagles2020000069-31010000035-21010000034-100.0006915108911411675888185387740602014467114.29%7185.71%0942179952.36%899174551.52%740141452.33%175499816477491443725
8Griffins32100000121202110000089-11100000043140.6671222340089114116799881853877409744185512325.00%8187.50%1942179952.36%899174551.52%740141452.33%175499816477491443725
9Heat31200000816-81100000042220200000414-1020.333812200089114116781881853877409734266710110.00%13376.92%0942179952.36%899174551.52%740141452.33%175499816477491443725
10Icehogs723001102127-6412001001115-4311000101012-270.5002134550089114116722688185387740212776713633721.21%31970.97%0942179952.36%899174551.52%740141452.33%175499816477491443725
11Little Stars2110000039-61010000007-71100000032120.500369008911411675788185387740632226365120.00%14192.86%0942179952.36%899174551.52%740141452.33%175499816477491443725
12Marlies30200001612-61010000014-32010000158-310.16769150089114116787881853877408735226110220.00%11281.82%0942179952.36%899174551.52%740141452.33%175499816477491443725
13Monsters6230100023212303000001115-432001000126660.5002336591089114116719188185387740166566410736822.22%32390.63%3942179952.36%899174551.52%740141452.33%175499816477491443725
14Moose4300000127161111000000844320000011912770.875274673008911411671548818538774012746148320525.00%7271.43%0942179952.36%899174551.52%740141452.33%175499816477491443725
15Penguins21100000761110000005321010000023-120.50071320008911411676288185387740652414307114.29%7185.71%0942179952.36%899174551.52%740141452.33%175499816477491443725
16Phantoms303000001321-820200000812-41010000059-400.00013253800891141167103881853877409232126120420.00%6266.67%0942179952.36%899174551.52%740141452.33%175499816477491443725
17Punishers321000001314-111000000321211000001012-240.6671321340089114116710188185387740782824661218.33%12375.00%0942179952.36%899174551.52%740141452.33%175499816477491443725
18Rampage2010000158-31010000024-21000000134-110.2505914008911411677188185387740622314459111.11%70100.00%0942179952.36%899174551.52%740141452.33%175499816477491443725
19Reign30300000819-1120200000615-91010000024-200.0008132100891141167998818538774096372364800.00%10370.00%0942179952.36%899174551.52%740141452.33%175499816477491443725
20Rocket31100001151411100000063320100001911-230.5001527420089114116797881853877409844145811436.36%7271.43%0942179952.36%899174551.52%740141452.33%175499816477491443725
21Senators6220100132311311000011718-1311010001513270.5833254862089114116720888185387740182666811624312.50%28775.00%0942179952.36%899174551.52%740141452.33%175499816477491443725
22Sound Tigers413000001317-42110000079-22020000068-220.250131932008911411671318818538774014037228921419.05%12283.33%1942179952.36%899174551.52%740141452.33%175499816477491443725
23Thunderbirds211000001314-11100000084410100000510-520.5001319320089114116784881853877406127263410110.00%13561.54%0942179952.36%899174551.52%740141452.33%175499816477491443725
24Wolfpack21100000814-6110000007521010000019-820.50081523008911411675888185387740671617378337.50%5180.00%0942179952.36%899174551.52%740141452.33%175499816477491443725
25Wolves2110000079-21010000037-41100000042220.50071320008911411677788185387740611012628112.50%6183.33%0942179952.36%899174551.52%740141452.33%175499816477491443725
Total80293903225324372-4840172000201166180-1440121903024158192-34750.46932454286640891141167262988185387740250486862516113246419.75%2996578.26%5942179952.36%899174551.52%740141452.33%175499816477491443725
_Since Last GM Reset80293903225324372-4840172000201166180-1440121903024158192-34750.46932454286640891141167262988185387740250486862516113246419.75%2996578.26%5942179952.36%899174551.52%740141452.33%175499816477491443725
_Vs Conference47152402114191214-23247150010194112-1823890201397102-5410.4361913215123089114116715268818538774014415353849292054120.00%1804177.22%4942179952.36%899174551.52%740141452.33%175499816477491443725
_Vs Division1968021117679-31026001013948-99420201037316200.526761242003089114116762588185387740560199199359931819.35%911979.12%3942179952.36%899174551.52%740141452.33%175499816477491443725

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8075OTW132454286626292504868625161140
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8029393225324372
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4017200201166180
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4012193024158192
Derniers 10 matchs
WLOTWOTL SOWSOL
261001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3246419.75%2996578.26%5
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
88185387740891141167
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
942179952.36%899174551.52%740141452.33%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
175499816477491443725


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
1 - 2021-11-302Icehogs5Admirals1BLR1Sommaire du match
7 - 2021-12-0629Monsters4Admirals3BLR1Sommaire du match
9 - 2021-12-0842Admirals3Icehogs2AWXXSommaire du match
10 - 2021-12-0948Admirals6Moose3AWSommaire du match
13 - 2021-12-1262Senators2Admirals4BWSommaire du match
16 - 2021-12-1579Icehogs3Admirals5BWR1Sommaire du match
18 - 2021-12-1784Admirals3Devils7ALSommaire du match
21 - 2021-12-2098Admirals3Monsters1AWR1Sommaire du match
22 - 2021-12-21105Admirals8Senators3AWSommaire du match
26 - 2021-12-25124Icehogs2Admirals1BLXR1Sommaire du match
28 - 2021-12-27141Reign6Admirals4BLSommaire du match
32 - 2021-12-31161Phantoms6Admirals3BLSommaire du match
33 - 2022-01-01169Admirals5Punishers8ALSommaire du match
37 - 2022-01-05185Senators8Admirals7BLXXSommaire du match
39 - 2022-01-07204Admirals2Icehogs8ALR1Sommaire du match
41 - 2022-01-09212Admirals4Moose5ALXXSommaire du match
42 - 2022-01-10219Heat2Admirals4BWSommaire du match
45 - 2022-01-13235Admirals3Condors5ALSommaire du match
46 - 2022-01-14244Reign9Admirals2BLSommaire du match
50 - 2022-01-18265Crunch4Admirals6BWSommaire du match
53 - 2022-01-21281Admirals3Rampage4ALXXSommaire du match
55 - 2022-01-23291Punishers2Admirals3BWSommaire du match
59 - 2022-01-27311Admirals2Penguins3ALSommaire du match
61 - 2022-01-29319Little Stars7Admirals0BLSommaire du match
63 - 2022-01-31332Admirals5Thunderbirds10ALSommaire du match
65 - 2022-02-02344Thunderbirds4Admirals8BWSommaire du match
69 - 2022-02-06363Admirals1Wolfpack9ALSommaire du match
70 - 2022-02-07372Wolves7Admirals3BLSommaire du match
73 - 2022-02-10389Admirals5Phantoms9ALSommaire du match
75 - 2022-02-12397Marlies4Admirals1BLSommaire du match
78 - 2022-02-15416Admirals9Barracuda5AWSommaire du match
80 - 2022-02-17423Icehogs5Admirals4BLR1Sommaire du match
83 - 2022-02-20437Admirals1Marlies3ALSommaire du match
86 - 2022-02-23448Sound Tigers5Admirals2BLSommaire du match
89 - 2022-02-26466Admirals9Moose4AWSommaire du match
91 - 2022-02-28476Moose4Admirals8BWSommaire du match
93 - 2022-03-02486Admirals4Senators8ALSommaire du match
95 - 2022-03-04501Admirals5Crunch4AWXXSommaire du match
96 - 2022-03-05506Rampage4Admirals2BLSommaire du match
100 - 2022-03-09524Admirals3Comets10ALSommaire du match
102 - 2022-03-11531Penguins3Admirals5BWSommaire du match
104 - 2022-03-13541Admirals3Little Stars2AWSommaire du match
106 - 2022-03-15553Bears2Admirals4BWSommaire du match
111 - 2022-03-20579Griffins2Admirals5BWSommaire du match
117 - 2022-03-26604Senators8Admirals6BLSommaire du match
119 - 2022-03-28614Admirals5Icehogs2AWR1Sommaire du match
122 - 2022-03-31628Admirals3Eagles4ALSommaire du match
123 - 2022-04-01633Phantoms6Admirals5BLSommaire du match
127 - 2022-04-05655Rocket3Admirals6BWSommaire du match
128 - 2022-04-06667Admirals4Marlies5ALXXSommaire du match
130 - 2022-04-08680Wolfpack5Admirals7BWSommaire du match
132 - 2022-04-10689Admirals2Reign4ALSommaire du match
135 - 2022-04-13706Sound Tigers4Admirals5BWSommaire du match
139 - 2022-04-17731Eagles5Admirals3BLSommaire du match
142 - 2022-04-20744Admirals5Punishers4AWSommaire du match
144 - 2022-04-22757Comets3Admirals8BWSommaire du match
146 - 2022-04-24770Admirals4Wolves2AWSommaire du match
149 - 2022-04-27783Devils4Admirals6BWSommaire du match
153 - 2022-05-01804Admirals3Devils7ALSommaire du match
154 - 2022-05-02811Comets5Admirals4BLXSommaire du match
157 - 2022-05-05829Admirals3Sound Tigers4ALSommaire du match
158 - 2022-05-06836Devils4Admirals6BWSommaire du match
160 - 2022-05-08850Admirals3Sound Tigers4ALSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
163 - 2022-05-11861Admirals3Senators2AWXSommaire du match
164 - 2022-05-12868Griffins7Admirals3BLSommaire du match
167 - 2022-05-15887Monsters4Admirals3BLR1Sommaire du match
169 - 2022-05-17895Admirals6Bears5AWSommaire du match
172 - 2022-05-20909Admirals4Devils3AWXSommaire du match
173 - 2022-05-21915Condors4Admirals2BLSommaire du match
174 - 2022-05-22918Admirals4Monsters1AWR1Sommaire du match
178 - 2022-05-26939Admirals4Rocket5ALXXSommaire du match
179 - 2022-05-27942Monsters7Admirals5BLR1Sommaire du match
181 - 2022-05-29952Admirals2Heat6ALSommaire du match
184 - 2022-06-01967Condors2Admirals1BLSommaire du match
185 - 2022-06-02975Admirals2Heat8ALSommaire du match
189 - 2022-06-06991Admirals4Griffins3AWSommaire du match
191 - 2022-06-081000Barracuda4Admirals7BWSommaire du match
195 - 2022-06-121016Barracuda5Admirals4BLSommaire du match
196 - 2022-06-131018Admirals5Rocket6ALSommaire du match
198 - 2022-06-151033Admirals5Monsters4AWXR1Sommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance76,02037,246
Assistance PCT95.03%93.12%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2832 - 94.39% 84,509$3,380,362$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,511,498$ 2,385,000$ 2,050,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,925$ 2,472,361$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 16,925$ 0$




Admirals Leaders statistiques (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 (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