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Admirals
GP: 80 | W: 34 | L: 42 | OTL: 4 | P: 72
GF: 306 | GA: 356 | PP%: 24.11% | PK%: 75.09%
DG: Dany Potvin | Morale : 31 | Moyenne d’équipe : 64
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Centre de jeu
Admirals
34-42-4, 72pts
3
FINAL
6 Monsters
40-34-6, 86pts
Team Stats
L3StreakW1
17-19-4Home Record19-18-3
17-23-0Away Record21-16-3
3-6-1Last 10 Games6-4-0
3.83Buts par match 4.45
4.45Buts contre par match 4.25
24.11%Pourcentage en avantage numérique23.03%
75.09%Pourcentage en désavantage numérique77.63%
Admirals
34-42-4, 72pts
1
FINAL
12 Eagles
36-35-9, 81pts
Team Stats
L3StreakW1
17-19-4Home Record19-15-6
17-23-0Away Record17-20-3
3-6-1Last 10 Games3-5-2
3.83Buts par match 4.55
4.45Buts contre par match 4.75
24.11%Pourcentage en avantage numérique23.99%
75.09%Pourcentage en désavantage numérique77.29%
Meneurs d'équipe
Buts
Joel Armia
38
Passes
Markus Granlund
62
Points
Anton Gustafsson
92
Plus/Moins
Joni Ikonen
2
Victoires
Tristan Jarry
24
Pourcentage d’arrêts
Tristan Jarry
0.875

Statistiques d’équipe
Buts pour
306
3.83 GFG
Tirs pour
2546
31.83 Avg
Pourcentage en avantage numérique
24.1%
68 GF
Début de zone offensive
34.9%
Buts contre
356
4.45 GAA
Tirs contre
2760
34.50 Avg
Pourcentage en désavantage numérique
75.1%%
73 GA
Début de la zone défensive
37.1%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,801
Billets de saison300


Informations de la formation

Équipe Pro36
Équipe Mineure18
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 GustafssonX100.007829787581717471747674707469563041720271800,000$
2Markus Granlund (R)X100.007629747677797574797573697761514155720242750,000$
3Joel Armia (R)X100.007632787379737472737481607258504639710242750,000$
4Mark McNeill (R)X100.007138767174747174767274717252504451710242750,000$
5Hunter Shinkaruk (R)X100.006439787466697068676981597348494451680231575,000$
6Lucas Wallmark (R)X100.006032817475737565797162706547464830680221575,000$
7Kasper Bjorkqvist (R)X100.006739787159757074818665495949474921680231500,000$
8Riley Barber (R)X100.006834816761636370687264677345454051660232650,000$
9Freddie HamiltonX100.006930817465686763717263625948473228650251700,000$
10Nolan Vesey (R)X100.007637727271537470626760555444464249630222760,000$
11Josh Norris (R)X100.005330716161666165504881386840407229590182500,000$
12Kristian Vesalainen (R)X100.006128594349525754585156484940407120510182500,000$
13Mattias BackmanX100.007131787673756768587557725961573546700252750,000$
14T.J BrodieX100.006432758268696973478062745563542941700271800,000$
15Travis Dermott (R)X100.005925808864607891468262705354456221700212650,000$
16Carl Dahlstrom (R)X100.007018836758587060396459755245464319650222650,000$
17Olli Juolevi (R)X100.006132758258485778346750674642426541640191500,000$
18Josh Wesley (R)X100.005639826064676652376752694043434518620211650,000$
19Reilly Walsh (R)X100.005533786558565546356341743840406951590182500,000$
20Ian Mitchell (R)X100.004234737153435169357454613540407741580182500,000$
Rayé
1Brett ConnollyX100.006729846376687171716976557049503732670251725,000$
2Alexandre MalletX100.007746717266608064576260495748472419620251600,000$
3Mark MacMillanX100.005037686656636367657765525647472919620251600,000$
4Ryan Olsen (R)X100.005229767068627164576165446745453319600232650,000$
5Stanislav GalievX100.005433746462624970555860507247472919590251600,000$
6Troy Bourke (R)X100.004738646656566463626766385145453319580232650,000$
7Carsen Twarynski (R)X100.004232825757775747576758635142445119580201500,000$
8Filip Chlapik (R)X100.005934675464535558655266475142425520560202650,000$
9Joni Ikonen (R)X100.004218715237473869515946405440406319500182500,000$
10Andreas Englund (R)X100.007231857168746472526755815754455546700211750,000$
11Christian Djoos (R)X100.007132816866586265466747755346473633660232650,000$
12Sergei Zborovskiy (R)X100.004829766164575944244828704242425720560201600,000$
13Libor Hajek (R)X100.006039715860535556315142564741415420560191500,000$
MOYENNE D’ÉQUIPE100.00623276686463656656676161584846473263
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 Jarry99.00747575686877726158806852464651680222650,000$
2Felix Sanstrom100.00647167646867646663607144436638640202650,000$
Rayé
1Linus Ullmark100.00616468545273786557737348463419640241750,000$
MOYENNE D’ÉQUIPE99.6766707062637271645971714845493665
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Wayne Gretzky70628291526855Can642850,000$


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
1Anton GustafssonAdmirals (Nas)C80385492-152801431832819117013.52%35167820.981117284422411251812052.83%18404136131.1079000557
2Markus GranlundAdmirals (Nas)LW73296291-23560149912777313710.47%48149220.451224364221411231185357.07%1916633021.2239000641
3Joel ArmiaAdmirals (Nas)RW743846840340120702406814115.83%42132217.8791524312010002435136.49%744928021.2703000642
4Travis DermottAdmirals (Nas)D58104858-18140397916269716.17%73117420.2551621261260119138010.00%03441000.9901000141
5Mark McNeillAdmirals (Nas)RW80273057-16440113892417013111.20%44141217.6646102014110151560147.13%875334000.8124000052
6Hunter ShinkarukAdmirals (Nas)LW80262349-1360135961945210913.40%25135016.895712181880114763250.98%514017000.7312000053
7T.J BrodieAdmirals (Nas)D8073643-115008112712846545.47%95164020.51336101780115198010.00%04639000.5200000104
8Kasper BjorkqvistAdmirals (Nas)RW44192443-201407234114427216.67%1871116.16551011671011182151.56%642415011.2111000131
9Lucas WallmarkAdmirals (Nas)C76142741-912067115122388911.48%37112014.7412346200091371053.67%8312827000.7301000200
10Andreas EnglundAdmirals (Nas)D6963238-25100851267937267.59%139166824.192911121890002210100.00%01949000.4600000003
11Riley BarberAdmirals (Nas)RW80171633-41007350108427715.74%147379.220002390001625146.67%452619000.9000000213
12Nolan VeseyAdmirals (Nas)LW8022931-1057512038107277420.56%1693911.751012280001131346.88%322210000.6600001121
13Josh NorrisAdmirals (Nas)C7391928-18340825957213515.79%26109715.03461061330000390139.47%131587000.5100000000
14Brett ConnollyAdmirals (Nas)RW59101222-1280492697344310.31%659910.1500007000020051.52%331211000.7300000001
15Freddie HamiltonAdmirals (Nas)C70111122-1680615711421589.65%2870210.040000140002152049.00%300229000.6300000001
16Reilly WalshAdmirals (Nas)D802121422001972327116.25%5890911.37101270000115000.00%0226000.3100000000
17Mattias BackmanAdmirals (Nas)D7421214-1028057684521244.44%62110414.92134391000297000.00%0442000.2500000000
18Olli JuoleviAdmirals (Nas)D8031013-836035494725216.38%51104913.121237122000119000.00%01024000.2500000100
19Ian MitchellAdmirals (Nas)D80358-16280154827151711.11%2895411.933257122000010100.00%0416000.1700000000
20Kristian VesalainenAdmirals (Nas)LW53347-732047201961115.79%74438.3700000000000025.00%802000.3200000010
21Christian DjoosAdmirals (Nas)D5906621002434159120.00%305589.47011227000057000.00%0222000.2100000000
22Carl DahlstromAdmirals (Nas)D49123-980293011559.09%2651310.49000022000039000.00%0220000.1200000000
23Joni IkonenAdmirals (Nas)C232132001655440.00%11175.1100001000010031.58%3810000.5100000000
24Alexandre MalletAdmirals (Nas)LW110111401147240.00%3978.84000000001100066.67%312000.2100000000
25Josh WesleyAdmirals (Nas)D21011-3004106240.00%91537.300000000003000.00%006000.1300000000
26Ryan OlsenAdmirals (Nas)C61011200753020.00%1579.6500000000000160.00%2032000.3500000000
27Mark MacMillanAdmirals (Nas)RW6000000110030.00%071.290000000000000.00%100000.00%00000000
28Stanislav GalievAdmirals (Nas)RW8000100000000.00%070.9800000000040025.00%400000.00%00000000
29Carsen TwarynskiAdmirals (Nas)LW18000020296020.00%11055.850000000000000.00%000000.00%00000000
Statistiques d’équipe totales ou en moyenne1644300503803-2425855163415982546831140511.78%9232372914.43681181862492214459531775281648.65%4937519537180.681430001263430
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)61243030.8754.203172202221779889340.667215722402
2Felix SanstromAdmirals (Nas)3791210.8714.52160720121941493110.85772251102
3Linus UllmarkAdmirals (Nas)11000.8575.00600053521000.00%017000
Statistiques d’équipe totales ou en moyenne99344240.8744.314840403482755140345288080504


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
Alexandre MalletAdmirals (Nas)LW251992-01-01No195 Lbs6 ft1NoNoNo1Pro & Farm600,000$0$0$NoLien
Andreas EnglundAdmirals (Nas)D211996-01-01Yes189 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLien
Anton GustafssonAdmirals (Nas)C271990-01-01No193 Lbs6 ft2NoNoNo1Pro & Farm800,000$0$0$No
Brett ConnollyAdmirals (Nas)RW251992-01-01No181 Lbs6 ft2NoNoNo1Pro & Farm725,000$0$0$No
Carl DahlstromAdmirals (Nas)D221995-01-01Yes185 Lbs6 ft4NoNoNo2Pro & Farm650,000$0$0$No650,000$Lien
Carsen TwarynskiAdmirals (Nas)LW201997-01-01Yes198 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLien
Christian DjoosAdmirals (Nas)D231994-01-01Yes158 Lbs5 ft11NoNoNo2Pro & Farm650,000$0$0$No650,000$
Felix SanstromAdmirals (Nas)G201997-01-01No191 Lbs6 ft2NoNoNo2Pro & Farm650,000$0$0$No650,000$Lien
Filip ChlapikAdmirals (Nas)C201997-01-01Yes194 Lbs6 ft2NoNoNo2Pro & Farm650,000$0$0$No650,000$Lien
Freddie HamiltonAdmirals (Nas)C251992-01-01No195 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$No
Hunter ShinkarukAdmirals (Nas)LW231994-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm575,000$0$0$NoLien
Ian MitchellAdmirals (Nas)D181999-01-01Yes173 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Joel ArmiaAdmirals (Nas)RW241993-01-01Yes205 Lbs6 ft3NoNoNo2Pro & Farm750,000$0$0$No900,000$
Joni IkonenAdmirals (Nas)C181999-01-01Yes171 Lbs5 ft10NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Josh NorrisAdmirals (Nas)C181999-01-01Yes199 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Josh WesleyAdmirals (Nas)D211996-01-01Yes201 Lbs6 ft3NoNoNo1Pro & Farm650,000$0$0$NoLien
Kasper BjorkqvistAdmirals (Nas)RW231994-01-01Yes194 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLien
Kristian VesalainenAdmirals (Nas)LW181999-01-01Yes207 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Libor HajekAdmirals (Nas)D191998-01-01Yes205 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLien
Linus UllmarkAdmirals (Nas)G241993-01-01No198 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLien
Lucas WallmarkAdmirals (Nas)C221995-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm575,000$0$0$NoLien
Mark MacMillanAdmirals (Nas)RW251992-01-01No172 Lbs6 ft0NoNoNo1Pro & Farm600,000$0$0$No
Mark McNeillAdmirals (Nas)RW241993-01-01Yes212 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No900,000$
Markus GranlundAdmirals (Nas)LW241993-01-01Yes178 Lbs6 ft0NoNoNo2Pro & Farm750,000$0$0$No900,000$
Mattias BackmanAdmirals (Nas)D251992-01-01No180 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$
Nolan VeseyAdmirals (Nas)LW221995-01-01Yes210 Lbs6 ft2NoNoNo2Pro & Farm760,000$0$0$No795,000$Lien
Olli JuoleviAdmirals (Nas)D191998-01-01Yes183 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLien
Reilly WalshAdmirals (Nas)D181999-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Riley BarberAdmirals (Nas)RW231994-01-01Yes194 Lbs5 ft11NoNoNo2Pro & Farm650,000$0$0$No650,000$Lien
Ryan OlsenAdmirals (Nas)C231994-01-01Yes187 Lbs6 ft1NoNoNo2Pro & Farm650,000$0$0$No650,000$Lien
Sergei ZborovskiyAdmirals (Nas)D201997-01-01Yes194 Lbs6 ft4NoNoNo1Pro & Farm600,000$0$0$NoLien
Stanislav GalievAdmirals (Nas)RW251992-01-01No187 Lbs6 ft1NoNoNo1Pro & Farm600,000$0$0$No
T.J BrodieAdmirals (Nas)D271990-01-01No182 Lbs6 ft1NoNoNo1Pro & Farm800,000$0$0$No
Travis DermottAdmirals (Nas)D211996-01-01Yes205 Lbs6 ft0NoNoNo2Pro & Farm650,000$0$0$No650,000$Lien
Tristan JarryAdmirals (Nas)G221995-01-01No185 Lbs6 ft2NoNoNo2Pro & Farm650,000$0$0$No650,000$Lien
Troy BourkeAdmirals (Nas)LW231994-01-01Yes156 Lbs5 ft10NoNoNo2Pro & Farm650,000$0$0$No650,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3622.14189 Lbs6 ft11.53634,306$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Markus GranlundAnton GustafssonJoel Armia40122
2Hunter ShinkarukLucas WallmarkMark McNeill30122
3Nolan VeseyFreddie HamiltonKasper Bjorkqvist20122
4Kristian VesalainenJosh NorrisRiley Barber10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias BackmanT.J Brodie40122
2Travis DermottCarl Dahlstrom30122
3Olli JuoleviJosh Wesley20122
4Reilly WalshIan Mitchell10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Markus GranlundAnton GustafssonJoel Armia60122
2Hunter ShinkarukLucas WallmarkMark McNeill40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias BackmanT.J Brodie60122
2Travis DermottCarl Dahlstrom40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Anton GustafssonMarkus Granlund60122
2Lucas WallmarkHunter Shinkaruk40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias BackmanT.J Brodie60122
2Travis DermottCarl Dahlstrom40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Anton Gustafsson60122Mattias BackmanT.J Brodie60122
2Lucas Wallmark40122Travis DermottCarl Dahlstrom40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Anton GustafssonMarkus Granlund60122
2Lucas WallmarkHunter Shinkaruk40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias BackmanT.J Brodie60122
2Travis DermottCarl Dahlstrom40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Markus GranlundAnton GustafssonJoel ArmiaMattias BackmanT.J Brodie
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Markus GranlundAnton GustafssonJoel ArmiaMattias BackmanT.J Brodie
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kasper Bjorkqvist, Hunter Shinkaruk, Lucas WallmarkKasper Bjorkqvist, Hunter ShinkarukKasper Bjorkqvist
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Josh Wesley, Reilly Walsh, Ian MitchellJosh WesleyJosh Wesley, Reilly Walsh
Tirs de pénalité
Markus Granlund, Anton Gustafsson, Joel Armia, Mark McNeill, Kasper Bjorkqvist
Gardien
#1 : Tristan Jarry, #2 : Felix Sanstrom


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
1Barracuda403000101119-820200000510-52010001069-320.2501115260087110100171338478847984512242397716531.25%17382.35%0842172248.90%909183349.59%651138247.11%167793117347451438722
2Bears20200000511-61010000047-31010000014-300.0005712008711010017568478847984558192245300.00%11281.82%0842172248.90%909183349.59%651138247.11%167793117347451438722
3Comets312000001316-31010000046-221100000910-120.333132336008711010017107847884798451072222549333.33%11463.64%0842172248.90%909183349.59%651138247.11%167793117347451438722
4Condors302010001016-61010000017-62010100099020.333101828008711010017968478847984510039286712216.67%14471.43%0842172248.90%909183349.59%651138247.11%167793117347451438722
5Crunch211000005501010000023-11100000032120.50059140087110100176484788479845632816397228.57%8275.00%1842172248.90%909183349.59%651138247.11%167793117347451438722
6Devils513010001824-620200000511-6311010001313040.400183048108711010017162847884798451734930919222.22%15846.67%0842172248.90%909183349.59%651138247.11%167793117347451438722
7Eagles21100000715-81100000063310100000112-1120.50071118008711010017638478847984581211034400.00%5260.00%0842172248.90%909183349.59%651138247.11%167793117347451438722
8Griffins3110001012932010001078-11100000051440.667122032008711010017114847884798458933146417211.76%7271.43%0842172248.90%909183349.59%651138247.11%167793117347451438722
9Heat312000001114-3211000007701010000047-320.333111627008711010017928478847984510531245710330.00%12466.67%0842172248.90%909183349.59%651138247.11%167793117347451438722
10Icehogs624000002027-732100000147730300000620-1440.33320345410871101001718784788479845202604013625520.00%20765.00%0842172248.90%909183349.59%651138247.11%167793117347451438722
11Little Stars3110001012932010001058-31100000071640.6671220320087110100171118478847984511640245113215.38%13284.62%1842172248.90%909183349.59%651138247.11%167793117347451438722
12Marlies412001001314-1311001009721010000047-330.3751322350087110100171188478847984514637347512325.00%17476.47%0842172248.90%909183349.59%651138247.11%167793117347451438722
13Monsters64100001262153200000115105321000001111090.75026477300871101001719184788479845207835013227622.22%25388.00%1842172248.90%909183349.59%651138247.11%167793117347451438722
14Moose31100010131211100000052320100010810-240.66713203300871101001791847884798451173422719333.33%11281.82%0842172248.90%909183349.59%651138247.11%167793117347451438722
15Penguins21100000990110000005231010000047-320.50091423008711010017648478847984564194319333.33%2150.00%0842172248.90%909183349.59%651138247.11%167793117347451438722
16Phantoms31100010131301010000057-22100001086240.667131831008711010017858478847984512139246510440.00%12375.00%1842172248.90%909183349.59%651138247.11%167793117347451438722
17Punishers20200000813-51010000026-41010000067-100.000814220087110100175684788479845792310337228.57%5340.00%0842172248.90%909183349.59%651138247.11%167793117347451438722
18Rampage2020000058-31010000034-11010000024-200.000581300871101001766847884798455331184210220.00%9366.67%0842172248.90%909183349.59%651138247.11%167793117347451438722
19Reign302000011015-51000000123-120200000812-410.167101929108711010017938478847984510548165711218.18%8187.50%0842172248.90%909183349.59%651138247.11%167793117347451438722
20Rocket3210000019172211000001112-11100000085340.6671931501087110100171098478847984511042205710330.00%11281.82%0842172248.90%909183349.59%651138247.11%167793117347451438722
21Senators73300010312743200001019127413000001215-380.57131487900871101001720184788479845239816416124625.00%32584.38%0842172248.90%909183349.59%651138247.11%167793117347451438722
22Sound Tigers22000000743110000004221100000032141.000711180087110100176084788479845692614388112.50%7185.71%0842172248.90%909183349.59%651138247.11%167793117347451438722
23Thunderbirds302000011119-820100001814-61010000035-210.16711182900871101001796847884798451043720746116.67%9188.89%0842172248.90%909183349.59%651138247.11%167793117347451438722
24Wolfpack2110000089-11010000035-21100000054120.500813211087110100177684788479845551910499333.33%5180.00%0842172248.90%909183349.59%651138247.11%167793117347451438722
25Wolves20101000910-1100010006511010000035-220.500917260087110100175584788479845752014345360.00%7357.14%0842172248.90%909183349.59%651138247.11%167793117347451438722
Total80254203163306356-5040131901133157168-1140122302030149188-39720.450306503809508711010017254684788479845276092358916342826824.11%2937375.09%4842172248.90%909183349.59%651138247.11%167793117347451438722
_Since Last GM Reset80254203163306356-5040131901133157168-1140122302030149188-39720.450306503809508711010017254684788479845276092358916342826824.11%2937375.09%4842172248.90%909183349.59%651138247.11%167793117347451438722
_Vs Conference48162301152189204-152410900122100928246140103089112-23470.490189308497308711010017151084788479845166356937510191834424.04%1864078.49%2842172248.90%909183349.59%651138247.11%167793117347451438722
_Vs Division19980001177752961000114829191037000002946-17210.5537712920610871101001757984788479845648224154429761722.37%771580.52%1842172248.90%909183349.59%651138247.11%167793117347451438722

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8072L330650380925462760923589163450
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8025423163306356
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4013191133157168
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4012232030149188
Derniers 10 matchs
WLOTWOTL SOWSOL
260011
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2826824.11%2937375.09%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
847884798458711010017
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
842172248.90%909183349.59%651138247.11%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
167793117347451438722


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
2 - 2022-10-288Senators4Admirals5BWSommaire du match
4 - 2022-10-3019Admirals2Senators3ALSommaire du match
6 - 2022-11-0129Admirals2Icehogs7ALR1Sommaire du match
9 - 2022-11-0445Monsters4Admirals6BWR1Sommaire du match
12 - 2022-11-0759Icehogs2Admirals8BWSommaire du match
14 - 2022-11-0972Admirals4Monsters3AWR1Sommaire du match
16 - 2022-11-1186Griffins7Admirals5BLSommaire du match
17 - 2022-11-1288Admirals6Devils5AWSommaire du match
21 - 2022-11-16114Senators6Admirals7BWXXSommaire du match
23 - 2022-11-18125Admirals4Senators5ALSommaire du match
26 - 2022-11-21143Marlies1Admirals5BWSommaire du match
30 - 2022-11-25158Devils4Admirals3BLSommaire du match
32 - 2022-11-27169Admirals1Icehogs8ALR1Sommaire du match
34 - 2022-11-29179Admirals4Devils3AWXSommaire du match
36 - 2022-12-01190Marlies2Admirals1BLXSommaire du match
38 - 2022-12-03203Admirals5Senators2AWSommaire du match
42 - 2022-12-07220Rampage4Admirals3BLSommaire du match
44 - 2022-12-09228Admirals3Devils5ALSommaire du match
46 - 2022-12-11240Admirals2Rampage4ALSommaire du match
48 - 2022-12-13251Wolves5Admirals6BWXSommaire du match
52 - 2022-12-17268Senators2Admirals7BWSommaire du match
55 - 2022-12-20282Admirals4Heat7ALSommaire du match
58 - 2022-12-23298Marlies4Admirals3BLSommaire du match
60 - 2022-12-25307Admirals1Senators5ALSommaire du match
63 - 2022-12-28321Sound Tigers2Admirals4BWSommaire du match
66 - 2022-12-31338Admirals1Bears4ALSommaire du match
68 - 2023-01-02349Condors7Admirals1BLSommaire du match
72 - 2023-01-06370Moose2Admirals5BWSommaire du match
76 - 2023-01-10388Admirals6Punishers7ALSommaire du match
77 - 2023-01-11400Phantoms7Admirals5BLSommaire du match
81 - 2023-01-15416Admirals7Little Stars1AWSommaire du match
82 - 2023-01-16425Bears7Admirals4BLSommaire du match
86 - 2023-01-20446Eagles3Admirals6BWSommaire du match
91 - 2023-01-25471Penguins2Admirals5BWSommaire du match
93 - 2023-01-27481Admirals3Wolves5ALSommaire du match
95 - 2023-01-29491Admirals3Crunch2AWSommaire du match
96 - 2023-01-30499Rocket8Admirals6BLSommaire du match
99 - 2023-02-02514Admirals5Griffins1AWSommaire du match
101 - 2023-02-04522Admirals4Comets2AWSommaire du match
102 - 2023-02-05530Griffins1Admirals2BWXXSommaire du match
105 - 2023-02-08549Devils7Admirals2BLSommaire du match
109 - 2023-02-12571Admirals4Barracuda3AWXXSommaire du match
110 - 2023-02-13578Rocket4Admirals5BWSommaire du match
115 - 2023-02-18601Wolfpack5Admirals3BLSommaire du match
117 - 2023-02-20610Admirals4Marlies7ALSommaire du match
121 - 2023-02-24626Admirals3Thunderbirds5ALSommaire du match
122 - 2023-02-25631Little Stars3Admirals4BWXXSommaire du match
126 - 2023-03-01654Comets6Admirals4BLSommaire du match
128 - 2023-03-03666Admirals8Rocket5AWSommaire du match
130 - 2023-03-05675Admirals3Condors4ALSommaire du match
131 - 2023-03-06684Barracuda6Admirals3BLSommaire du match
135 - 2023-03-10704Admirals4Reign6ALSommaire du match
136 - 2023-03-11710Thunderbirds7Admirals6BLXXSommaire du match
140 - 2023-03-15731Monsters5Admirals4BLXXR1Sommaire du match
142 - 2023-03-17743Admirals4Phantoms3AWXXSommaire du match
145 - 2023-03-20756Admirals4Reign6ALSommaire du match
146 - 2023-03-21760Monsters1Admirals5BWR1Sommaire du match
151 - 2023-03-26783Icehogs4Admirals2BLSommaire du match
153 - 2023-03-28797Admirals3Moose6ALSommaire du match
155 - 2023-03-30810Crunch3Admirals2BLSommaire du match
159 - 2023-04-03826Admirals5Wolfpack4AWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
161 - 2023-04-05835Punishers6Admirals2BLSommaire du match
163 - 2023-04-07843Admirals4Monsters2AWR1Sommaire du match
166 - 2023-04-10862Heat6Admirals4BLSommaire du match
167 - 2023-04-11866Admirals3Sound Tigers2AWSommaire du match
170 - 2023-04-14881Admirals6Condors5AWXSommaire du match
171 - 2023-04-15889Little Stars5Admirals1BLSommaire du match
174 - 2023-04-18899Admirals4Penguins7ALSommaire du match
176 - 2023-04-20913Icehogs1Admirals4BWR1Sommaire du match
178 - 2023-04-22920Admirals3Icehogs5ALSommaire du match
183 - 2023-04-27941Barracuda4Admirals2BLSommaire du match
184 - 2023-04-28950Admirals5Comets8ALSommaire du match
187 - 2023-05-01966Heat1Admirals3BWSommaire du match
190 - 2023-05-04978Admirals2Barracuda6ALSommaire du match
192 - 2023-05-06986Admirals5Moose4AWXXSommaire du match
194 - 2023-05-08995Reign3Admirals2BLXXSommaire du match
197 - 2023-05-111008Admirals4Phantoms3AWSommaire du match
202 - 2023-05-161020Thunderbirds7Admirals2BLSommaire du match
203 - 2023-05-171029Admirals3Monsters6ALR1Sommaire du match
205 - 2023-05-191039Admirals1Eagles12ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance74,98037,043
Assistance PCT93.73%92.61%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2801 - 93.35% 83,473$3,338,938$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,094,047$ 2,283,500$ 2,098,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,085$ 2,232,296$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 15,211$ 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