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Admirals
GP: 86 | W: 39 | L: 35 | OTL: 12 | P: 90
GF: 190 | GA: 232 | PP%: 25.88% | PK%: 68.66%
DG: Andrew Welch | Morale : 47 | Moyenne d’équipe : 56

Centre de jeu
Americans
50-26-10, 110pts
2
0 Admirals
39-35-12, 90pts
Team Stats
W2SéquenceL3
27-9-7Fiche domicile20-20-3
23-17-3Fiche domicile19-15-9
7-2-1Derniers 10 matchs4-5-1
3.09Buts par match 2.21
2.72Buts contre par match 2.70
29.96%Pourcentage en avantage numérique25.88%
70.31%Pourcentage en désavantage numérique68.66%
Admirals
39-35-12, 90pts
0
8 Wild
72-12-2, 146pts
Team Stats
L3SéquenceW10
20-20-3Fiche domicile35-6-2
19-15-9Fiche domicile37-6-0
4-5-1Derniers 10 matchs10-0-0
2.21Buts par match 4.63
2.70Buts contre par match 2.44
25.88%Pourcentage en avantage numérique22.99%
68.66%Pourcentage en désavantage numérique78.47%
Meneurs d'équipe
Buts
Yegor Sidorov
31
Passes
Yegor Sidorov
41
Points
Yegor Sidorov
72
Plus/Moins
Bradley Marek
3
Victoires
Dryden McKay
28
Pourcentage d’arrêts
Adam Scheel
0.893

Statistiques d’équipe
Buts pour
190
2.21 GFG
Tirs pour
1335
15.52 Avg
Pourcentage en avantage numérique
25.9%
44 GF
Début de zone offensive
32.0%
Buts contre
232
2.70 GAA
Tirs contre
1658
19.28 Avg
Pourcentage en désavantage numérique
68.7%%
63 GA
Début de la zone défensive
41.9%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,925
Billets de saison1,500


Informations de la formation

Équipe Pro24
Équipe Mineure26
Limite contact 50 / 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
1Tye FelhaberX100.0065675768678288635059655660474660746102711,045,000$
2Yegor Sidorov (R)X100.0074679168697174635059646158474660816102131,315,000$
3Ben Jones (R)X100.0085928770715191634351586625494859746102731,386,000$
4Ethan Keppen (R)XXX100.0078758664764340577149606257464658475602531,339,000$
5Jordan Dumais (R)X100.0071619465634947585056575954464658285602231,279,000$
6Cameron WrightX100.0070716865715353555049565855464657385502712,000,000$
7C.J. SuessX100.0074708765705556526845556053474656565503212,000,000$
8Carl BerglundX100.0080769563764949496349446143474651555402631,109,000$
9Ryan Leonard (R)X100.0080739982754951435037446042474650615402131,268,000$
10Cam BergXXX100.0053409982722830572548536225464654615402412,000,000$
11Cam Thiesing (R)XXX100.0071687864685051496346475846454552195202512,000,000$
12Gabe Perreault (R)X100.0075649980644749445038446042444452205202131,264,000$
13Joshua BrownX100.0076874667876166482537396437697047496103211,275,000$
14Artem Duda (R)X100.0075699368715556532549436140474652655802231,289,000$
15Otto Salin (R)X100.0078719982733531532552406237464652495702231,293,000$
16Angus Booth (R)X100.0072717965734849482540415838474648565502231,263,000$
17Ben Harpur (R)X100.0078885562885052452536406038464748215503131,401,000$
18Jesse Pulkkinen (R)X100.0084839162853634452536396337474647785502131,263,000$
19Brandon HickeyX100.0080759661754242442532416139454548195303012,000,000$
Rayé
1Joshua Roy (R)XX100.006542967472587559255171562550506343590222835,000$
2Bradley MarekXXX100.0076806464805050526645566053474653485502531,111,000$
MOYENNE D’ÉQUIPE100.00747184697451545243465060434847545056
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 McKay100.004440506745904650918145464658525902811,000,000$
2Nolan Maier100.004440505845914650918145454559735902511,000,000$
Rayé
1Adam Scheel100.005140508354615659646130444455775702731,140,000$
MOYENNE D’ÉQUIPE100.0046405069488149538274404545576758
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)RW86314172-2539351041562246811213.84%48197122.92914233912912361586543.10%1164741010.7310162236105
2Tye FelhaberAdmirals (NAS)LW78253358-187315156167149408016.78%25166821.397121926920224794244.79%10364114110.7013012723
3Ben JonesAdmirals (NAS)C85272451-8142901091451704710915.88%35170720.0954925880113683240.51%9804521010.6007468433
4Joshua RoyAdmirals (NAS)LW/RW77242650-230080112150528116.00%15143318.62761318801017745430.00%3204617000.7027000831
5Ethan KeppenAdmirals (NAS)C/LW/RW6511152617030668959214718.64%12106216.342246470002493156.31%3091110000.4922132131
6Artem DudaAdmirals (NAS)D8532225-114135521156223274.84%72187522.0705577310138800100.00%13041000.2700223032
7Bradley MarekAdmirals (NAS)C/LW/RW801113243691515411484184713.10%21144918.1232512911011280148.35%911921000.3313102321
8Joshua BrownAdmirals (NAS)D7522123-12246901551237437262.70%75183124.4214510115000291000%02345000.25004410001
9Angus BoothAdmirals (NAS)D8341317-3215638329121913.79%34153318.48224472000287100%0737100.2200100010
10Ryan LeonardAdmirals (NAS)RW868917-1021157910652133415.38%14146317.0213410850003850042.56%1952927000.231014030022
11Jordan DumaisAdmirals (NAS)RW579716-91715456155193916.36%1077613.621347410001201152.83%531710000.4102003012
12Carl BerglundAdmirals (NAS)C806101602067793151319.35%397712.220110120000233049.79%233717000.3300000014
13Jesse PulkkinenAdmirals (NAS)D8621214-147545661343817215.26%68174020.23134101270000156000%01232000.1601315110
14Otto SalinAdmirals (NAS)D7631114-422203471308810.00%38118715.62011123000152100%01618000.2400103001
15C.J. SuessAdmirals (NAS)C8172919565573371221.21%487310.78314844000000055.17%5859000.2100100021
16Cameron WrightAdmirals (NAS)RW55088-1152306958327130%1689916.3600001000000040.63%32516000.1800321000
17Ben HarpurAdmirals (NAS)D66134-1512650961092020205.00%39140521.29101371000088000%01129000.0600154000
18Matthew SeminoffPredatorsRW78022-22042167160%35046.4700009000010062.50%824000.0800000000
19Brandon HickeyAdmirals (NAS)D47112-200152751220.00%44198.9200002000017000%003100.1000000001
20Cam ThiesingAdmirals (NAS)C/LW/RW40112-140271983212.50%22837.0800004000020030.77%1321000.1400000110
21Cam BergAdmirals (NAS)C/LW/RW81202-300138173811.76%13334.1210113000011012.50%871000.1200000100
22Justin GillPredatorsC/LW/RW21013601222550.00%02412.48000000000000100.00%100000.8000000000
23Chad NychukPredatorsD32011120762100%32608.140000300008000%012000.0800000000
24Gabe PerreaultAdmirals (NAS)RW11011000242020%0423.9101100000000045.45%1101000.4700000000
25Cameron ButlerPredatorsRW2000000000000%031.760000000000000%00000000000000
26Chas SharpePredatorsD10000000330000%0353.510000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne1604179276455-162103949515701864133542573313.41%5422576416.0644641081871222459351184281643.69%3465383417330.352655242946323528
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)712828100.8592.644118451811280593220.55934706142
2Nolan MaierAdmirals (NAS)198720.8812.389582138320165000.85714169111
3Adam ScheelAdmirals (NAS)93000.8932.111710065630000.8899071000
Statistiques d’équipe totales ou en moyenne993935120.8642.57524766225165678822578686253


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)G271999-05-01USANo200 Lbs6 ft4NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,140,000$0$0$No1,140,000$1,140,000$-------1,140,000$1,140,000$-------NoNo-------Lien
Angus BoothAdmirals (NAS)D222004-04-27QCYes190 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,263,000$0$0$No1,263,000$1,263,000$-------1,263,000$1,263,000$-------NoNo-------Lien
Artem DudaAdmirals (NAS)D222004-04-08RUSYes187 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,289,000$0$0$No1,289,000$1,289,000$-------1,289,000$1,289,000$-------NoNo-------Lien
Ben HarpurAdmirals (NAS)D311995-01-12CANYes231 Lbs6 ft6NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,401,000$0$0$No1,401,000$1,401,000$-------1,401,000$1,401,000$-------NoNo-------Lien
Ben JonesAdmirals (NAS)C271999-02-26CANYes187 Lbs6 ft0NoNoAssign ManuallyNoNo32025-10-22FalseFalsePro & Farm1,386,000$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$0$0$No1,111,000$1,111,000$-------1,111,000$1,111,000$-------NoNo-------Lien
Brandon HickeyAdmirals (NAS)D301996-04-13ABNo200 Lbs6 ft2NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien / Lien NHL
C.J. SuessAdmirals (NAS)C321994-03-17USANo194 Lbs6 ft0NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien / Lien NHL
Cam BergAdmirals (NAS)C/LW/RW242002-01-29USANo190 Lbs6 ft0NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Cam ThiesingAdmirals (NAS)C/LW/RW252001-03-26USAYes189 Lbs6 ft0NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Cameron WrightAdmirals (NAS)RW271998-08-11ONTNo193 Lbs6 ft1NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Carl BerglundAdmirals (NAS)C262000-01-16SWENo207 Lbs6 ft2NoNoAssign ManuallyNoNo32025-10-17FalseFalsePro & Farm1,109,000$0$0$No1,109,000$1,109,000$-------1,109,000$1,109,000$-------NoNo-------Lien
Dryden McKayAdmirals (NAS)G281997-11-25USANo183 Lbs6 ft0NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Ethan KeppenAdmirals (NAS)C/LW/RW252001-03-20ONYes203 Lbs6 ft2NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,339,000$0$0$No1,339,000$1,339,000$-------1,339,000$1,339,000$-------NoNo-------Lien
Gabe PerreaultAdmirals (NAS)RW212005-05-07CANYes178 Lbs5 ft11NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,264,000$0$0$No1,264,000$1,264,000$-------1,264,000$1,264,000$-------NoNo-------Lien
Jesse PulkkinenAdmirals (NAS)D212004-12-27FINYes215 Lbs6 ft6NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,263,000$0$0$No1,263,000$1,263,000$-------1,263,000$1,263,000$-------NoNo-------Lien
Jordan DumaisAdmirals (NAS)RW222004-04-15CANYes174 Lbs5 ft9NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,279,000$0$0$No1,279,000$1,279,000$-------1,279,000$1,279,000$-------NoNo-------Lien
Joshua BrownAdmirals (NAS)D321994-01-21ONTNo220 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm1,275,000$0$0$No---------------------------Lien
Joshua RoyAdmirals (NAS)LW/RW222003-08-06CANYes192 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm835,000$0$0$No835,000$--------835,000$--------No--------Lien
Nolan MaierAdmirals (NAS)G252001-01-10CANNo171 Lbs5 ft11NoNoAssign ManuallyNoNo12026-04-16FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Otto SalinAdmirals (NAS)D222004-03-07FINYes195 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,293,000$0$0$No1,293,000$1,293,000$-------1,293,000$1,293,000$-------NoNo-------Lien
Ryan LeonardAdmirals (NAS)RW212005-01-21USAYes192 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,268,000$0$0$No1,268,000$1,268,000$-------1,268,000$1,268,000$-------NoNo-------Lien
Tye FelhaberAdmirals (NAS)LW271998-08-05CANNo185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,045,000$0$0$No---------------------------Lien
Yegor SidorovAdmirals (NAS)RW212004-06-18BLRYes184 Lbs6 ft0NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,315,000$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
2425.21195 Lbs6 ft12.211,369,792$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cameron WrightTye FelhaberYegor Sidorov40122
2Jordan DumaisBen JonesEthan Keppen30122
3Yegor SidorovBen JonesRyan Leonard20122
4Yegor SidorovEthan KeppenBen Jones10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben HarpurJesse Pulkkinen40122
2Artem DudaJoshua Brown30122
3Jesse PulkkinenJoshua Brown20122
4Ben HarpurArtem Duda10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ethan KeppenTye FelhaberYegor Sidorov60122
2Jordan DumaisRyan LeonardBen Jones40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jesse PulkkinenArtem Duda60122
2Ben HarpurJoshua Brown40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ethan KeppenYegor Sidorov60122
2Ben JonesRyan Leonard40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben HarpurJesse Pulkkinen60122
2Artem DudaJoshua Brown40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ben Jones60122Joshua BrownJesse Pulkkinen60122
2Yegor Sidorov40122Ben HarpurArtem Duda40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tye FelhaberYegor Sidorov60122
2Ben JonesRyan Leonard40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jesse PulkkinenArtem Duda60122
2Ben HarpurJoshua Brown40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ben JonesTye FelhaberYegor SidorovJoshua BrownArtem Duda
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ben JonesTye FelhaberYegor SidorovJoshua BrownArtem Duda
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ben Jones, Yegor Sidorov, Ryan LeonardYegor Sidorov, Ben JonesRyan Leonard
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jesse Pulkkinen, Ben Harpur, Joshua BrownJesse PulkkinenBen Harpur, Jesse Pulkkinen
Tirs de pénalité
Ryan Leonard, Yegor Sidorov, Ben Jones, Ethan Keppen, Tye Felhaber
Gardien
#1 : Nolan Maier, #2 : Dryden McKay


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
1Americans50400001717-102010000114-330300000613-710.1007111800326769379330546551410510632107941119.09%11372.73%0476108343.95%635141944.75%40388345.64%1404476163399622161072
2Barracuda2020000014-31010000012-11010000002-200.000112003267693736305465514105381217475120.00%60100.00%0476108343.95%635141944.75%40388345.64%1404476163399622161072
3Bears20000011770100000105411000000123-130.7507714003267693752305465514105502015384250.00%5180.00%1476108343.95%635141944.75%40388345.64%1404476163399622161072
4Bruins21001000413110000003121000100010141.00046100132676937183054655141052161334100.00%4175.00%0476108343.95%635141944.75%40388345.64%1404476163399622161072
5Canucks22000000734110000004221100000031241.0007101700326769373230546551410533623264375.00%4175.00%0476108343.95%635141944.75%40388345.64%1404476163399622161072
6Checkers50201020910-13020100047-32000002053260.600912210032676937773054655141057326101105700.00%13653.85%0476108343.95%635141944.75%40388345.64%1404476163399622161072
7Comets2020000027-51010000004-41010000023-100.00024600326769373530546551410542174143200.00%8450.00%0476108343.95%635141944.75%40388345.64%1404476163399622161072
8Condors2010100023-11010000002-21000100021120.50023500326769372230546551410537113127200.00%8275.00%0476108343.95%635141944.75%40388345.64%1404476163399622161072
9Crunch21000100642110000005231000010012-130.75068140032676937273054655141051671328400.00%40100.00%0476108343.95%635141944.75%40388345.64%1404476163399622161072
10Eagles5310001021183210000101082321000001110180.8002132530032676937873054655141059426609112650.00%201145.00%2476108343.95%635141944.75%40388345.64%1404476163399622161072
11Griffins2010001056-1100000103211010000024-220.5005510103267693720305465514105472229283266.67%2150.00%0476108343.95%635141944.75%40388345.64%1404476163399622161072
12Gulls2010000114-31010000013-21000000101-110.250112003267693715305465514105206423300.00%20100.00%0476108343.95%635141944.75%40388345.64%1404476163399622161072
13Heat5210110016142311010009902100010075270.700162541003267693783305465514105115331149312541.67%17758.82%0476108343.95%635141944.75%40388345.64%1404476163399622161072
14IceHogs20000011220100000101011000000112-130.7502240132676937233054655141051912737300.00%110.00%0476108343.95%635141944.75%40388345.64%1404476163399622161072
15Islanders20100010550100000102111010000034-120.500561100326769373230546551410552131539400.00%50100.00%0476108343.95%635141944.75%40388345.64%1404476163399622161072
16Marlies200011005501000010034-11000100021130.7505813003267693741305465514105281448309111.11%40100.00%0476108343.95%635141944.75%40388345.64%1404476163399622161072
17Monsters21000010312100000102111100000010141.0003470132676937223054655141051622434600.00%2150.00%0476108343.95%635141944.75%40388345.64%1404476163399622161072
18Moose52201000161603020100058-322000000118360.600162339003267693711330546551410593324610412216.67%13469.23%0476108343.95%635141944.75%40388345.64%1404476163399622161072
19Penguins522010001314-12110000047-33110100097260.60013233600326769377330546551410588246910214535.71%17664.71%0476108343.95%635141944.75%40388345.64%1404476163399622161072
20Phantoms2010010003-31010000002-21000010001-110.250000003267693714305465514105153732100.00%110.00%0476108343.95%635141944.75%40388345.64%1404476163399622161072
21Reign20100010550100000103211010000023-120.500571200326769373330546551410557203731400.00%6266.67%0476108343.95%635141944.75%40388345.64%1404476163399622161072
22Roadrunners30200100916-720200000612-61000010034-110.167916250032676937433054655141051103814696233.33%2150.00%0476108343.95%635141944.75%40388345.64%1404476163399622161072
23Rocket3010101034-1100010001012010001024-240.66732501326769374730546551410530618725120.00%40100.00%0476108343.95%635141944.75%40388345.64%1404476163399622161072
24Senators30100101812-41000000134-12010010058-320.33381018103267693746305465514105682711538450.00%3166.67%0476108343.95%635141944.75%40388345.64%1404476163399622161072
25Silver Knights2110000056-11010000013-21100000043120.5005813003267693747305465514105401040416350.00%50100.00%0476108343.95%635141944.75%40388345.64%1404476163399622161072
26Stars5120200011110311010008622010100035-260.600111728013267693770305465514105963429825360.00%7271.43%0476108343.95%635141944.75%40388345.64%1404476163399622161072
27Thunderbirds2010001057-21010000025-31000001032120.500571200326769372730546551410572221538400.00%5260.00%0476108343.95%635141944.75%40388345.64%1404476163399622161072
28Wild30300000215-131010000015-420200000110-900.000246003267693742305465514105117404241300.00%12283.33%0476108343.95%635141944.75%40388345.64%1404476163399622161072
29Wolf Pack3010110045-1201010004401000010001-130.5004610003267693736305465514105351515513266.67%5260.00%0476108343.95%635141944.75%40388345.64%1404476163399622161072
30Wolves2110000067-11010000024-21100000043120.500681400326769372930546551410530640377114.29%5180.00%1476108343.95%635141944.75%40388345.64%1404476163399622161072
Total8617350117115190232-42437200617294118-244310150564396114-18900.523190276466253267693713353054655141051658542104515701704425.88%2016368.66%4476108343.95%635141944.75%40388345.64%1404476163399622161072
_Since Last GM Reset8617350117115190232-42437200617294118-244310150564396114-18900.523190276466253267693713353054655141051658542104515701704425.88%2016368.66%4476108343.95%635141944.75%40388345.64%1404476163399622161072
_Vs Conference52102107482134154-2027412041516581-162569033316973-4560.538134199333113267693785830546551410510963597069761082926.85%1284763.28%3476108343.95%635141944.75%40388345.64%1404476163399622161072
_Vs Division201014061314049-91048040111927-81066021202122-1401.0004058980132676937293305465514105328100226376411024.39%481666.67%2476108343.95%635141944.75%40388345.64%1404476163399622161072

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8690L3190276466133516585421045157025
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
861735117115190232
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
43720617294118
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
431015564396114
Derniers 10 matchs
WLOTWOTL SOWSOL
450001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1704425.88%2016368.66%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
30546551410532676937
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
476108343.95%635141944.75%40388345.64%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1404476163399622161072


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
442Stars0Admirals3WSommaire du match
661Admirals5Penguins3WSommaire du match
774Moose1Admirals2WXSommaire du match
994Checkers2Admirals3WXSommaire du match
10113Admirals2Bears3LXXSommaire du match
11128Eagles6Admirals7WXXSommaire du match
12138Admirals0Stars3LSommaire du match
13147Admirals1Americans3LSommaire du match
15166Checkers3Admirals1LSommaire du match
16188Moose3Admirals1LSommaire du match
17199Admirals5Moose4WSommaire du match
18214Admirals3Eagles1WSommaire du match
19225Admirals5Senators6LXSommaire du match
20242Penguins5Admirals0LSommaire du match
21256Admirals1Americans2LSommaire du match
23274Moose4Admirals2LSommaire du match
25294Checkers2Admirals0LSommaire du match
27311Admirals3Checkers2WXXSommaire du match
28323Roadrunners6Admirals2LSommaire du match
29341Admirals2Eagles4LSommaire du match
30353Rocket0Admirals1WXSommaire du match
31368Admirals3Canucks1WSommaire du match
32388Condors2Admirals0LSommaire du match
34405Admirals1IceHogs2LXXSommaire du match
35420Gulls3Admirals1LSommaire du match
36437Admirals0Barracuda2LSommaire du match
37447Senators4Admirals3LXXSommaire du match
38471Wolves4Admirals2LSommaire du match
40483Admirals4Americans8LSommaire du match
41503Canucks2Admirals4WSommaire du match
42513Admirals3Stars2WXSommaire du match
43533Marlies4Admirals3LXSommaire du match
44550Admirals1Monsters0WSommaire du match
45563Penguins2Admirals4WSommaire du match
46580Admirals2Checkers1WXXSommaire du match
47594Admirals2Griffins4LSommaire du match
48606Heat2Admirals0LSommaire du match
49624IceHogs0Admirals1WXXSommaire du match
50639Admirals2Comets3LSommaire du match
51648Admirals4Heat1WSommaire du match
52664Stars1Admirals2WXSommaire du match
53683Admirals0Senators2LSommaire du match
54696Comets4Admirals0LSommaire du match
56715Admirals6Moose4WSommaire du match
57726Heat2Admirals3WXSommaire du match
58748Thunderbirds5Admirals2LSommaire du match
59761Admirals3Heat4LXSommaire du match
61775Admirals2Condors1WXSommaire du match
62786Crunch2Admirals5WSommaire du match
64807Admirals1Crunch2LXSommaire du match
65817Phantoms2Admirals0LSommaire du match
66838Barracuda2Admirals1LSommaire du match
67850Admirals0Phantoms1LXSommaire du match
68861Admirals1Bruins0WXSommaire du match
70880Eagles2Admirals3WSommaire du match
71891Admirals3Thunderbirds2WXXSommaire du match
73911Wolf Pack3Admirals2LSommaire du match
74928Admirals2Reign3LSommaire du match
75939Admirals4Wolves3WSommaire du match
76952Wild5Admirals1LSommaire du match
78971Islanders1Admirals2WXXSommaire du match
80986Admirals0Gulls1LXXSommaire du match
811001Wolf Pack1Admirals2WXSommaire du match
821018Admirals0Wolf Pack1LXSommaire du match
831030Admirals4Silver Knights3WSommaire du match
841044Griffins2Admirals3WXXSommaire du match
851052Admirals0Rocket3LSommaire du match
861071Admirals3Roadrunners4LXSommaire du match
881083Monsters1Admirals2WXXSommaire du match
891103Bruins1Admirals3WSommaire du match
901112Admirals3Islanders4LSommaire du match
911132Roadrunners6Admirals4LSommaire du match
941159Bears4Admirals5WXXSommaire du match
961186Stars5Admirals3LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
981211Americans2Admirals1LXXSommaire du match
1001226Admirals2Marlies1WXSommaire du match
1011243Silver Knights3Admirals1LSommaire du match
1021248Admirals2Penguins1WXSommaire du match
1051276Reign2Admirals3WXXSommaire du match
1061285Admirals1Wild2LSommaire du match
1071294Admirals2Rocket1WXXSommaire du match
1081306Admirals2Penguins3LSommaire du match
1101318Americans2Admirals0LSommaire du match
1111333Admirals0Wild8LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets304
Assistance82,78942,988
Assistance PCT96.27%99.97%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2925 - 97.50% 92,020$3,956,878$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,985,868$ 3,287,500$ 3,287,500$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
29,353$ 2,967,954$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 38,281$ 0$




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