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Admirals
GP: 10 | W: 7 | L: 2 | OTL: 1 | P: 15
GF: 60 | GA: 24 | PP%: 16.13% | PK%: 87.50%
DG: Patrick Rodrigue | Morale : 44 | Moyenne d’équipe : 63

Centre de jeu
Admirals
7-2-1, 15pts
10
1 Ontario Reign
1-8-0, 2pts
Team Stats
L1SéquenceL3
5-1-1Fiche domicile1-5-0
2-1-0Fiche domicile0-3-0
7-2-1Derniers 10 matchs1-8-0
6.00Buts par match 1.56
2.40Buts contre par match 9.56
16.13%Pourcentage en avantage numérique11.11%
87.50%Pourcentage en désavantage numérique72.73%
Chicago Wolves
7-2-1, 15pts
6
4 Admirals
7-2-1, 15pts
Team Stats
W4SéquenceL1
4-2-0Fiche domicile5-1-1
3-0-1Fiche domicile2-1-0
7-2-1Derniers 10 matchs7-2-1
6.10Buts par match 6.00
2.70Buts contre par match 2.40
30.00%Pourcentage en avantage numérique16.13%
69.57%Pourcentage en désavantage numérique87.50%
Meneurs d'équipe
Tyson JostButs
Tyson Jost
12
Ethen FrankPasses
Ethen Frank
12
Ethen FrankPoints
Ethen Frank
21
Isaac RatcliffePlus/Moins
Isaac Ratcliffe
18
Luke CavallinVictoires
Luke Cavallin
6
Luke CavallinPourcentage d’arrêts
Luke Cavallin
0.938

Statistiques d’équipe
Buts pour
60
6.00 GFG
Tirs pour
494
49.40 Avg
Pourcentage en avantage numérique
16.1%
5 GF
Début de zone offensive
43.2%
Buts contre
24
2.40 GAA
Tirs contre
272
27.20 Avg
Pourcentage en désavantage numérique
87.5%%
3 GA
Début de la zone défensive
34.6%
Informations de l'équipe

Directeur généralPatrick Rodrigue
EntraîneurLuke Richardson
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure23
Limite contact 46 / 60
Espoirs12


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
1Ethen Frank0X100.006636917370828367546369626670710476602921,000,000$
2Walker Duehr0X100.007838926782808363565864626669710476502921,000,000$
3Oliver Moore (R)0X100.00613789717080826574676664696163047650223925,000$
4Nolan Foote0X100.007340816283828463586160645966680476402621,000,000$
5Tyson Jost0XX100.006939806770818363726162686472700476402921,000,000$
6Jonathan Lekkerimaki0X100.00613595666787776855596758666264047640233924,000$
7Justin Robidas0X100.005536956765928566726864616564660476402431,109,000$
8Nate Danielson0X100.00673889667980826467655761596264047630223924,000$
9Isaac Ratcliffe0X100.008346685992747358555756615967690476202821,000,000$
10Chase Bradley0X100.005939745668758055515357585664660475802521,000,000$
11Simon Nemec0X100.006437877275868473307167655662640476702323,489,000$
12Philippe Myers0X100.007654836794867465306155685070690476503021,000,000$
13Jacob Bernard-Docker0X100.006941876577847964306655695067660486402721,000,000$
14Sam Dickinson (R)0X100.00663791738385876730685262505960047640213925,000$
15Dennis Gilbert0X100.007773696484747163306950655170720476303021,000,000$
16Elias D. Pettersson0X100.007439786577828659306356665162640476302331,222,000$
17Jonathan McDonald0X100.006238855871647757305554564668700475902921,000,000$
18Ryan O'Rourke0X100.006138815470667553305551564564660475702521,000,000$
Rayé
1Austin Watson0XX100.008582555992808562645768635976750326503521,000,000$
MOYENNE D’ÉQUIPE100.0069438365778081634862596357666704663
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
1Trey Augustine (R)0100.0061716874605961605961606165049580223925,000$
Rayé
1Pheonix Copley0100.00778680877675777675777674880316703521,000,000$
2Dustin Tokarski0100.00727670747170727170727177910366403721,000,000$
3Luke Cavallin0100.00697369806867696867696866730496202621,000,000$
MOYENNE D’ÉQUIPE100.007077727969687069687069707904163
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Luke Richardson70717372857962CAN5722,500,000$


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
1Ethen FrankAdmirals (NSH)C1091221120083557224815.79%024124.172027290000261050.83%30300011.7401000201
2Oliver MooreAdmirals (NSH)C106915102063854144811.11%420720.730116250000112057.26%24800001.4501000011
3Tyson JostAdmirals (NSH)C/RW1012214144014126493818.75%018818.82101825000013073.33%1500011.4901000100
4Nolan FooteAdmirals (NSH)LW1048121040221030102513.33%019919.9302210290000120055.00%2000001.2001000020
5Simon NemecAdmirals (NSH)D10210126401820305176.67%1824024.050111531000020000%000001.0000000010
6Elias D. PetterssonAdmirals (NSH)D1011112134069101510.00%411111.160001000000000%000002.1500000000
7Jonathan LekkerimakiAdmirals (NSH)RW10561142010740132812.50%216616.6600001000001060.00%1500001.3200000100
8Sam DickinsonAdmirals (NSH)D10011111240111662140%1020820.88011223000218000%000001.0500000010
9Dennis GilbertAdmirals (NSH)D1009912201578230%511611.700000000006000%000001.5400000010
10Jacob Bernard-DockerAdmirals (NSH)D1027911551312218179.52%1119019.00101723000019010%000000.9500001100
11Chase BradleyAdmirals (NSH)LW1063913401182041330.00%014714.7700000000000154.55%1100001.2200000003
12Philippe MyersAdmirals (NSH)D101786403212259144.00%1022222.271231131000121000%000000.7200000100
13Walker DuehrAdmirals (NSH)RW10437760371139134310.26%424324.310004290001220050.00%2200000.5801000001
14Isaac RatcliffeAdmirals (NSH)LW104261880311030112113.33%218018.06011224000030063.64%1100000.6600000011
15Justin RobidasAdmirals (NSH)C1032510202152962210.34%210010.0600000000000065.63%9600000.9900000000
16Nate DanielsonAdmirals (NSH)C101456001724554.17%2838.3200000000090055.95%8400001.2000000000
17Ryan O'RourkeAdmirals (NSH)D10033520512040%6555.590000000000000%000001.0700000000
18Jonathan McDonaldAdmirals (NSH)D10033500215140%2585.840000000002000%000001.0300000000
19Austin WatsonAdmirals (NSH)LW/RW3000000200100%020.820000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne1836011217217457524623149413636912.15%82296516.2058137327600041807255.88%82500021.1605001677
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
1Luke CavallinAdmirals (NSH)66000.9381.503600091460000061100
2Pheonix CopleyAdmirals (NSH)31010.8813.36143008670000.800530000
3Dustin TokarskiAdmirals (NSH)10100.9292.9341002280000003000
4Trey AugustineAdmirals (NSH)10100.8714.0060004310000016000
Statistiques d’équipe totales ou en moyenne117210.9152.28605002327200051010100


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Plafond 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
Austin WatsonAdmirals (NSH)LW/RW351992-01-13USANo238 Lbs193 CMNoNoFantasy DraftYesYes2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Chase BradleyAdmirals (NSH)LW252002-01-09USANo180 Lbs180 CMNoNoFantasy DraftNoNo22025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Dennis GilbertAdmirals (NSH)D301996-10-30USANo216 Lbs188 CMNoNoFantasy DraftNoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Dustin TokarskiAdmirals (NSH)G371989-09-16CANNo198 Lbs183 CMNoNoFantasy DraftYesYes2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Elias D. PetterssonAdmirals (NSH)D232004-02-16SWENo185 Lbs188 CMNoNoFantasy DraftNoNo32026-06-29FalseFalsePro & Farm1,222,000$0$0$No1,222,000$1,222,000$-------1,222,000$1,222,000$-------NoNo-------Lien / Lien NHL
Ethen FrankAdmirals (NSH)C291998-02-05USANo188 Lbs180 CMNoNoTrade2026-03-07NoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Isaac RatcliffeAdmirals (NSH)LW281999-02-15CANNo200 Lbs198 CMNoNoFantasy DraftNoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Jacob Bernard-DockerAdmirals (NSH)D272000-06-30CANNo196 Lbs185 CMNoNoTrade2026-03-07NoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Jonathan LekkerimakiAdmirals (NSH)RW232004-07-24SWENo172 Lbs180 CMNoNoTrade2025-09-03NoNo32026-06-29FalseFalsePro & Farm924,000$0$0$No924,000$924,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Jonathan McDonaldAdmirals (NSH)D291998-06-15USANo183 Lbs183 CMNoNoFantasy DraftNoNo22025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Justin RobidasAdmirals (NSH)C242003-03-13CANNo176 Lbs173 CMNoNoFantasy DraftNoNo32026-06-29FalseFalsePro & Farm1,109,000$0$0$No1,109,000$1,109,000$-------1,109,000$1,109,000$-------NoNo-------Lien / Lien NHL
Luke CavallinAdmirals (NSH)G262001-04-29CANNo196 Lbs188 CMNoNoFantasy DraftNoNo22025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Nate DanielsonAdmirals (NSH)C222004-09-27CANNo195 Lbs188 CMNoNoTrade2025-10-20NoNo32026-06-29FalseFalsePro & Farm924,000$0$0$No924,000$924,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Nolan FooteAdmirals (NSH)LW262000-11-29CANNo196 Lbs191 CMNoNoFantasy DraftNoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Oliver MooreAdmirals (NSH)C222005-01-22USAYes188 Lbs180 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Pheonix CopleyAdmirals (NSH)G351992-01-18USANo205 Lbs193 CMNoNoFantasy DraftYesYes2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Philippe MyersAdmirals (NSH)D301997-01-25CANNo221 Lbs196 CMNoNoFantasy DraftNoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Ryan O'RourkeAdmirals (NSH)D252002-05-16CANNo178 Lbs183 CMNoNoFantasy DraftNoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Sam DickinsonAdmirals (NSH)D212006-06-07CANYes200 Lbs191 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Simon Nemec (contrat à 1 volet)Admirals (NSH)D232004-02-15SVKNo190 Lbs185 CMNoNoTrade2025-09-02NoNo22026-06-29FalseFalsePro & Farm3,489,000$3,489,000$3,489,000$No3,489,000$--------3,489,000$--------No--------Lien / Lien NHL
Trey AugustineAdmirals (NSH)G222005-02-23USAYes183 Lbs185 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Tyson JostAdmirals (NSH)C/RW291998-03-14CANNo187 Lbs180 CMNoNoFantasy DraftNoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Walker DuehrAdmirals (NSH)RW291997-11-23USANo210 Lbs188 CMNoNoFantasy DraftNoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2326.96195 Lbs185 CM2.301,106,217$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonathan LekkerimakiOliver MooreWalker Duehr40122
2Nolan FooteEthen FrankTyson Jost30122
3Chase BradleyNate DanielsonIsaac Ratcliffe20122
4Ethen FrankJustin RobidasWalker Duehr10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Simon NemecSam Dickinson40122
2Philippe MyersJacob Bernard-Docker30122
3Elias D. PetterssonDennis Gilbert20122
4Jonathan McDonaldRyan O'Rourke10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nolan FooteEthen FrankWalker Duehr60122
2Isaac RatcliffeOliver MooreTyson Jost40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Simon NemecPhilippe Myers60122
2Sam DickinsonJacob Bernard-Docker40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ethen FrankWalker Duehr60122
2Oliver MooreNolan Foote40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Simon NemecPhilippe Myers60122
2Sam DickinsonJacob Bernard-Docker40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ethen Frank60122Simon NemecPhilippe Myers60122
2Walker Duehr40122Sam DickinsonJacob Bernard-Docker40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ethen FrankWalker Duehr60122
2Oliver MooreNolan Foote40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Simon NemecPhilippe Myers60122
2Sam DickinsonJacob Bernard-Docker40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nolan FooteEthen FrankWalker DuehrSimon NemecPhilippe Myers
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nolan FooteEthen FrankWalker DuehrSimon NemecPhilippe Myers
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jonathan Lekkerimaki, Justin Robidas, Nate DanielsonJonathan Lekkerimaki, Justin RobidasNate Danielson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Elias D. Pettersson, Dennis Gilbert, Jonathan McDonaldElias D. PetterssonDennis Gilbert, Jonathan McDonald
Tirs de pénalité
Ethen Frank, Walker Duehr, Oliver Moore, Nolan Foote, Tyson Jost
Gardien
#1 : Trey Augustine, #2 :
Lignes d’attaque personnalisées en prolongation
Ethen Frank, Walker Duehr, Oliver Moore, Nolan Foote, Tyson Jost, Jonathan Lekkerimaki, Justin Robidas, Nate Danielson, Isaac Ratcliffe, Chase Bradley
Lignes de défense personnalisées en prolongation
Simon Nemec, Philippe Myers, Sam Dickinson, Jacob Bernard-Docker, Elias D. Pettersson


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
1Calgary Wranglers11000000633110000006330000000000021.000611170027231003815818814762454285120.00%10100.00%019735555.49%15828455.63%10618258.24%3042301795912067
2Chicago Wolves1010000046-21010000046-20000000000000.0004711002723100391581881476401410332150.00%5180.00%019735555.49%15828455.63%10618258.24%3042301795912067
3Colorado Eagles11000000514110000005140000000000021.00051015002723100421581881476224621600.00%30100.00%019735555.49%15828455.63%10618258.24%3042301795912067
4IceHogs110000001311211000000131120000000000021.000132538002723100881581881476175416000%2150.00%019735555.49%15828455.63%10618258.24%3042301795912067
5Ontario Reign1100000010190000000000011000000101921.000102030002723100821581881476208630400.00%3166.67%019735555.49%15828455.63%10618258.24%3042301795912067
6Rochester Americans1000000134-11000000134-10000000000010.5003580027231002915818814763572235120.00%10100.00%019735555.49%15828455.63%10618258.24%3042301795912067
7San Diego Gulls110000001111011000000111100000000000021.000112031002723100911581881476154428000%20100.00%019735555.49%15828455.63%10618258.24%3042301795912067
8Thunderbirds1010000014-3000000000001010000014-300.000123002723100311581881476317228100.00%10100.00%019735555.49%15828455.63%10618258.24%3042301795912067
9Tucson Roadrunners11000000211000000000001100000021121.000235002723100201581881476298621400.00%20100.00%019735555.49%15828455.63%10618258.24%3042301795912067
10Wild11000000523110000005230000000000021.0005914002723100341581881476392013184250.00%40100.00%019735555.49%15828455.63%10618258.24%3042301795912067
Total10720000160243675100001471829321000001367150.750601121720027231004941581881476272825724631516.13%24387.50%019735555.49%15828455.63%10618258.24%3042301795912067
_Since Last GM Reset10720000160243675100001471829321000001367150.750601121720027231004941581881476272825724631516.13%24387.50%019735555.49%15828455.63%10618258.24%3042301795912067
_Vs Conference871000005314395500000040832321000001367140.875531001530027231004261581881476197614519024312.50%18288.89%019735555.49%15828455.63%10618258.24%3042301795912067
_Vs Division541000002691733000000234192110000035-280.8002649750027231002151581881476138443110415213.33%12191.67%019735555.49%15828455.63%10618258.24%3042301795912067

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1015L160112172494272825724600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
107200016024
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
75100014718
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3210000136
Derniers 10 matchs
WLOTWOTL SOWSOL
720001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
31516.13%24387.50%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
15818814762723100
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
19735555.49%15828455.63%10618258.24%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
3042301795912067


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2026-09-013San Diego Gulls1Admirals11WSommaire du match
2 - 2026-09-029Wild2Admirals5WSommaire du match
5 - 2026-09-0523Calgary Wranglers3Admirals6WSommaire du match
6 - 2026-09-0627Admirals2Tucson Roadrunners1WSommaire du match
7 - 2026-09-0736IceHogs1Admirals13WSommaire du match
9 - 2026-09-0944Colorado Eagles1Admirals5WSommaire du match
20 - 2026-09-20107Admirals1Thunderbirds4LSommaire du match
21 - 2026-09-21114Rochester Americans4Admirals3LXXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
25 - 2026-09-25136Admirals10Ontario Reign1WSommaire du match
26 - 2026-09-26149Chicago Wolves6Admirals4LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-2 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,195,400$ 2,195,400$ 2,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 2 0$ 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