Connexion

Admirals
GP: 2 | W: 2 | L: 0 | OTL: 0 | P: 4
GF: 12 | GA: 10 | PP%: 75.00% | PK%: 46.15%
DG: Andrew Welch | Morale : 52 | Moyenne d’équipe : 56
Prochains matchs #42 vs Stars
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Centre de jeu
Heat
2-1-0, 4pts
5
FINAL
6 Admirals
2-0-0, 4pts
Team Stats
W2SéquenceW2
1-0-0Fiche domicile1-0-0
1-1-0Fiche domicile1-0-0
2-1-0Derniers 10 matchs2-0-0
5.00Buts par match 6.00
4.67Buts contre par match 5.00
54.55%Pourcentage en avantage numérique75.00%
50.00%Pourcentage en désavantage numérique46.15%
Admirals
2-0-0, 4pts
6
FINAL
5 Eagles
1-1-0, 2pts
Team Stats
W2SéquenceL1
1-0-0Fiche domicile1-1-0
1-0-0Fiche domicile0-0-0
2-0-0Derniers 10 matchs1-1-0
6.00Buts par match 4.00
5.00Buts contre par match 3.50
75.00%Pourcentage en avantage numérique75.00%
46.15%Pourcentage en désavantage numérique33.33%
Stars
1-1-0, 2pts
Jour 4
Admirals
2-0-0, 4pts
Statistiques d’équipe
L1SéquenceW2
1-0-0Fiche domicile1-0-0
0-1-0Fiche visiteur1-0-0
1-1-010 derniers matchs2-0-0
2.00Buts par match 6.00
2.00Buts contre par match 6.00
0.00%Pourcentage en avantage numérique75.00%
66.67%Pourcentage en désavantage numérique46.15%
Admirals
2-0-0, 4pts
Jour 6
Penguins
0-3-0, 0pts
Statistiques d’équipe
W2SéquenceL3
1-0-0Fiche domicile0-0-0
1-0-0Fiche visiteur0-3-0
2-0-010 derniers matchs0-3-0
6.00Buts par match 2.00
5.00Buts contre par match 2.00
75.00%Pourcentage en avantage numérique37.50%
46.15%Pourcentage en désavantage numérique42.86%
Moose
1-1-0, 2pts
Jour 7
Admirals
2-0-0, 4pts
Statistiques d’équipe
L1SéquenceW2
1-1-0Fiche domicile1-0-0
0-0-0Fiche visiteur1-0-0
1-1-010 derniers matchs2-0-0
2.50Buts par match 6.00
3.00Buts contre par match 6.00
16.67%Pourcentage en avantage numérique75.00%
100.00%Pourcentage en désavantage numérique46.15%
Meneurs d'équipe
Buts
Yegor Sidorov
2
Passes
Yegor Sidorov
4
Points
Yegor Sidorov
6
Plus/Moins
Ben Harpur
4
Victoires
Dryden McKay
2
Pourcentage d’arrêts
Dryden McKay
0.815

Statistiques d’équipe
Buts pour
12
6.00 GFG
Tirs pour
60
30.00 Avg
Pourcentage en avantage numérique
75.0%
3 GF
Début de zone offensive
29.1%
Buts contre
10
5.00 GAA
Tirs contre
54
27.00 Avg
Pourcentage en désavantage numérique
46.2%%
7 GA
Début de la zone défensive
37.6%
Informations de l'équipe

Directeur généralAndrew Welch
EntraîneurAustin Violette
DivisionDivision 4
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,970
Billets de saison1,500


Informations de la formation

Équipe Pro20
Équipe Mineure26
Limite contact 46 / 100
Espoirs119


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
1Yegor Sidorov (R)X100.0074679066677174615056616358444463516002131,315,000$
2Ben Jones (R)X100.0085928870715191624450556825464662516002631,386,000$
3Joshua Roy (R)XX100.006542947270587558255070592548476551590222835,000$
4Ethan Keppen (R)XXX100.0078758663754340577149606457444460535602431,339,000$
5Jordan Dumais (R)X100.0071619363614947595057576154444460545602131,279,000$
6Bradley MarekXXX100.0075806464805050536645566253444456545502531,111,000$
7Matthew SeminoffX100.0074698462696671485045456043444454525402131,041,000$
8Carl BerglundX100.0081769463764949506350456443444454535402531,109,000$
9Ryan Leonard (R)X100.0081739980734951445038446342444453535402031,268,000$
10Cameron ButlerX100.0073815361815457465040465944444450525202331,309,000$
11Justin Gill (R)XXX100.0074718262714444496147456043444452535202231,259,000$
12Gabe Perreault (R)X100.0075649980644749445038446042444452525202031,264,000$
13Artem Duda (R)X100.0076699266695556522548426240444455525702131,289,000$
14Ben Harpur (R)X100.0078885662885052462537416238444550545603031,401,000$
15Angus Booth (R)X100.0073717863714849482540406038444451535402131,263,000$
16Jesse Pulkkinen (R)X100.0085839160833634452536396537444450535402031,263,000$
17Chad NychukX100.0074718161714141462537396037444450535302421,065,000$
Rayé
1Otto Salin (R)X94.9379719980713531532552396437444455425702131,293,000$
MOYENNE D’ÉQUIPE99.72767285677350535143454862424444555255
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
1Dryden McKay100.004440506745894549908145444460535902811,000,000$
2Adam Scheel100.005140508354605558636130444455535702631,140,000$
Rayé
MOYENNE D’ÉQUIPE100.0048405075507550547771384444585358
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Austin Violette40404040404040TUR8111,000,000$


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
1Yegor SidorovAdmirals (NAS)RW22463552671228.57%15025.0101101000070025.00%411002.4000010011
2Joshua RoyAdmirals (NAS)LW/RW22133002593522.22%04221.451011100005000%231001.4000000100
3Bradley MarekAdmirals (NAS)C/LW/RW212301158340225.00%03115.901121100000000%400001.8900001000
4Ben JonesAdmirals (NAS)C22133556573228.57%24723.9600001000081039.68%6331001.2500010010
5Ethan KeppenAdmirals (NAS)C/LW/RW2022000121190%23316.9801111000020061.90%2100001.1800000000
6Jordan DumaisAdmirals (NAS)RW21120001492711.11%03517.730111100003100%011001.1300000000
7Carl BerglundAdmirals (NAS)C21123002230133.33%12412.2200000000000055.56%900001.6400000000
8Angus BoothAdmirals (NAS)D2022420101340%13919.860110100006000%003001.0100000000
9Ryan LeonardAdmirals (NAS)RW21123001370614.29%02713.9900000000030050.00%232001.4300000000
10Justin GillAdmirals (NAS)C/LW/RW21013601222550.00%02412.48000000000000100.00%100000.8000000000
11Ben HarpurAdmirals (NAS)D21014803130133.33%04120.681012100005000%000000.4800000000
12Jesse PulkkinenAdmirals (NAS)D2011100112010%02814.480000000000000%000000.6900000000
13Chad NychukAdmirals (NAS)D2011120012100%02914.820000000003000%010000.6700000000
14Gabe PerreaultAdmirals (NAS)RW2011000121010%0115.9501100000000045.45%1100001.6800000000
15Otto SalinAdmirals (NAS)D2011100320000%34221.080000100006000%021000.4700000000
16Cameron ButlerAdmirals (NAS)RW2000000000000%031.760000000000000%00000000000000
17Matthew SeminoffAdmirals (NAS)RW2000000100000%0115.530000000000000%00000000000000
18Artem DudaAdmirals (NAS)D2000100062120%25527.920000100009000%01400000000000
Statistiques d’équipe totales ou en moyenne36121931303915344560174820.00%1258316.213696150000632043.59%1171514001.0600021121
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
1Dryden McKayAdmirals (NAS)22000.8155.0012020105423100020000
Statistiques d’équipe totales ou en moyenne22000.8155.001202010542310020000


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam ScheelAdmirals (NAS)G261999-05-01USANo200 Lbs6 ft4NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,140,000$1,109,464$0$0$No1,140,000$1,140,000$-------1,140,000$1,140,000$-------NoNo-------Lien
Angus BoothAdmirals (NAS)D212004-04-27QCYes190 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,263,000$1,229,170$0$0$No1,263,000$1,263,000$-------1,263,000$1,263,000$-------NoNo-------Lien
Artem DudaAdmirals (NAS)D212004-04-08RUSYes187 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,289,000$1,254,473$0$0$No1,289,000$1,289,000$-------1,289,000$1,289,000$-------NoNo-------Lien
Ben HarpurAdmirals (NAS)D301995-01-12CANYes231 Lbs6 ft6NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,401,000$1,363,473$0$0$No1,401,000$1,401,000$-------1,401,000$1,401,000$-------NoNo-------Lien
Ben JonesAdmirals (NAS)C261999-02-26CANYes187 Lbs6 ft0NoNoAssign ManuallyNoNo32025-10-22FalseFalsePro & Farm1,386,000$1,348,875$0$0$No1,386,000$1,386,000$-------1,386,000$1,386,000$-------NoNo-------Lien
Bradley MarekAdmirals (NAS)C/LW/RW252000-11-13USANo212 Lbs6 ft4NoNoAssign ManuallyNoNo32025-10-17FalseFalsePro & Farm1,111,000$1,081,241$0$0$No1,111,000$1,111,000$-------1,111,000$1,111,000$-------NoNo-------Lien
Cameron ButlerAdmirals (NAS)RW232002-06-09CANNo215 Lbs6 ft4NoNoAssign ManuallyNoNo32025-10-22FalseFalsePro & Farm1,309,000$1,273,938$0$0$No1,309,000$1,309,000$-------1,309,000$1,309,000$-------NoNo-------Lien
Carl BerglundAdmirals (NAS)C252000-01-16SWENo207 Lbs6 ft2NoNoAssign ManuallyNoNo32025-10-17FalseFalsePro & Farm1,109,000$1,079,295$0$0$No1,109,000$1,109,000$-------1,109,000$1,109,000$-------NoNo-------Lien
Chad NychukAdmirals (NAS)D242001-03-06MANNo194 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,065,000$1,036,473$0$0$No1,065,000$--------1,065,000$--------No--------Lien
Dryden McKayAdmirals (NAS)G281997-11-25USANo183 Lbs6 ft0NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$973,214$0$0$No---------------------------Lien
Ethan KeppenAdmirals (NAS)C/LW/RW242001-03-20ONYes203 Lbs6 ft2NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,339,000$1,303,134$0$0$No1,339,000$1,339,000$-------1,339,000$1,339,000$-------NoNo-------Lien
Gabe PerreaultAdmirals (NAS)RW202005-05-07CANYes178 Lbs5 ft11NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,264,000$1,230,143$0$0$No1,264,000$1,264,000$-------1,264,000$1,264,000$-------NoNo-------Lien
Jesse PulkkinenAdmirals (NAS)D202004-12-27FINYes215 Lbs6 ft6NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,263,000$1,229,170$0$0$No1,263,000$1,263,000$-------1,263,000$1,263,000$-------NoNo-------Lien
Jordan DumaisAdmirals (NAS)RW212004-04-15CANYes174 Lbs5 ft9NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,279,000$1,244,741$0$0$No1,279,000$1,279,000$-------1,279,000$1,279,000$-------NoNo-------Lien
Joshua RoyAdmirals (NAS)LW/RW222003-08-06CANYes192 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm835,000$812,634$0$0$No835,000$--------835,000$--------No--------Lien
Justin GillAdmirals (NAS)C/LW/RW222003-01-27QCYes190 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,259,000$1,225,277$0$0$No1,259,000$1,259,000$-------1,259,000$1,259,000$-------NoNo-------Lien
Matthew SeminoffAdmirals (NAS)RW212003-12-27USANo190 Lbs5 ft11NoNoN/ANoNo32025-05-01FalseFalsePro & Farm1,041,000$1,013,116$0$0$No1,041,000$1,041,000$-------1,041,000$1,041,000$-------NoNo-------Lien
Otto SalinAdmirals (NAS)D212004-03-07FINYes195 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,293,000$1,258,366$0$0$No1,293,000$1,293,000$-------1,293,000$1,293,000$-------NoNo-------Lien
Ryan LeonardAdmirals (NAS)RW202005-01-21USAYes192 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,268,000$1,234,036$0$0$No1,268,000$1,268,000$-------1,268,000$1,268,000$-------NoNo-------Lien
Yegor SidorovAdmirals (NAS)RW212004-06-18BLRYes184 Lbs6 ft0NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,315,000$1,279,777$0$0$No1,315,000$1,315,000$-------1,315,000$1,315,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2023.05196 Lbs6 ft12.801,211,450$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joshua RoyBen JonesYegor Sidorov40122
2Bradley MarekEthan KeppenJordan Dumais30122
3Justin GillCarl BerglundRyan Leonard20122
4Yegor SidorovBen JonesMatthew Seminoff10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Artem Duda40122
2Ben HarpurAngus Booth30122
3Jesse PulkkinenChad Nychuk20122
4Artem Duda10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joshua RoyBen JonesYegor Sidorov60122
2Bradley MarekEthan KeppenJordan Dumais40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Artem Duda60122
2Ben HarpurAngus Booth40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ben JonesYegor Sidorov60122
2Joshua RoyJordan Dumais40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Artem Duda60122
2Ben HarpurAngus Booth40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ben Jones60122Artem Duda60122
2Yegor Sidorov40122Ben HarpurAngus Booth40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ben JonesYegor Sidorov60122
2Joshua RoyJordan Dumais40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Artem Duda60122
2Ben HarpurAngus Booth40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joshua RoyBen JonesYegor SidorovArtem Duda
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joshua RoyBen JonesYegor SidorovArtem Duda
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Gabe Perreault, Cameron Butler, Ryan LeonardGabe Perreault, Cameron ButlerRyan Leonard
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jesse Pulkkinen, Chad Nychuk, Ben HarpurJesse PulkkinenChad Nychuk, Ben Harpur
Tirs de pénalité
Ben Jones, Yegor Sidorov, Joshua Roy, Jordan Dumais, Ethan Keppen
Gardien
#1 : Dryden McKay, #2 : Adam Scheel


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
1Eagles11000000651000000000001100000065121.00061016004530291818240265171711100.00%6433.33%0153444.12%204445.45%163941.03%371738214420
2Heat11000000651110000006510000000000021.000691500453031181824028724173266.67%7357.14%0153444.12%204445.45%163941.03%371738214420
Total2200000012102110000006511100000065141.000121931004530601818240541241344375.00%13746.15%0153444.12%204445.45%163941.03%371738214420
_Since Last GM Reset2200000012102110000006511100000065141.000121931004530601818240541241344375.00%13746.15%0153444.12%204445.45%163941.03%371738214420
_Vs Conference2200000012102110000006511100000065141.000121931004530601818240541241344375.00%13746.15%0153444.12%204445.45%163941.03%371738214420

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
24W2121931605412413400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
22000001210
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
110000065
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
110000065
Derniers 10 matchs
WLOTWOTL SOWSOL
200000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
4375.00%13746.15%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
18182404530
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
153444.12%204445.45%163941.03%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
371738214420


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
17Heat5Admirals6WSommaire du match
223Admirals6Eagles5WSommaire du match
442Stars-Admirals-
661Admirals-Penguins-
774Moose-Admirals-
994Checkers-Admirals-
10113Admirals-Bears-
11128Eagles-Admirals-
12138Admirals-Stars-
13147Admirals-Americans-
15166Checkers-Admirals-
16188Moose-Admirals-
17199Admirals-Moose-
18214Admirals-Eagles-
19225Admirals-Senators-
20242Penguins-Admirals-
21256Admirals-Americans-
23274Moose-Admirals-
25294Checkers-Admirals-
27311Admirals-Checkers-
28323Roadrunners-Admirals-
29341Admirals-Eagles-
30353Rocket-Admirals-
31368Admirals-Canucks-
32388Condors-Admirals-
34405Admirals-IceHogs-
35420Gulls-Admirals-
36437Admirals-Barracuda-
37447Senators-Admirals-
38471Wolves-Admirals-
40483Admirals-Americans-
41503Canucks-Admirals-
42513Admirals-Stars-
43533Marlies-Admirals-
44550Admirals-Monsters-
45563Penguins-Admirals-
46580Admirals-Checkers-
47594Admirals-Griffins-
48606Heat-Admirals-
49624IceHogs-Admirals-
50639Admirals-Comets-
51648Admirals-Heat-
52664Stars-Admirals-
53683Admirals-Senators-
54696Comets-Admirals-
56715Admirals-Moose-
57726Heat-Admirals-
58748Thunderbirds-Admirals-
59761Admirals-Heat-
61775Admirals-Condors-
62786Crunch-Admirals-
64807Admirals-Crunch-
65817Phantoms-Admirals-
66838Barracuda-Admirals-
67850Admirals-Phantoms-
68861Admirals-Bruins-
70880Eagles-Admirals-
71891Admirals-Thunderbirds-
73911Wolf Pack-Admirals-
74928Admirals-Reign-
75939Admirals-Wolves-
76952Wild-Admirals-
78971Islanders-Admirals-
80986Admirals-Gulls-
811001Wolf Pack-Admirals-
821018Admirals-Wolf Pack-
831030Admirals-Silver Knights-
841044Griffins-Admirals-
851052Admirals-Rocket-
861071Admirals-Roadrunners-
881083Monsters-Admirals-
891103Bruins-Admirals-
901112Admirals-Islanders-
911132Roadrunners-Admirals-
941159Bears-Admirals-
961186Stars-Admirals-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
981211Americans-Admirals-
1001226Admirals-Marlies-
1011243Silver Knights-Admirals-
1021248Admirals-Penguins-
1051276Reign-Admirals-
1061285Admirals-Wild-
1071294Admirals-Rocket-
1081306Admirals-Penguins-
1101318Americans-Admirals-
1111333Admirals-Wild-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets304
Assistance1,9701,000
Assistance PCT98.50%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
42 2970 - 99.00% 94,019$94,019$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
91,686$ 2,422,900$ 2,422,900$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
21,633$ 64,899$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,948,798$ 109 30,562$ 3,331,258$




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