Admirals
GP: 28 | W: 14 | L: 12 | OTL: 2 | P: 30
GF: 104 | GA: 99 | PP%: 30.68% | PK%: 80.85%
DG: Yves Cardinal | Morale : 75 | Moyenne d’équipe : 62
Prochain matchs #475 vs Eagles
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Centre de jeu
Admirals
14-12-2, 30pts
6
FINAL
2 Checkers
2-22-3, 7pts
Team Stats
L1StreakL5
10-5-1Home Record0-15-2
4-7-1Away Record2-7-1
7-3-0Last 10 Games0-9-1
3.71Buts par match 3.22
3.54Buts contre par match 5.63
30.68%Pourcentage en avantage numérique11.32%
80.85%Pourcentage en désavantage numérique62.50%
Admirals
14-12-2, 30pts
6
FINAL
7 Wolves
17-10-0, 34pts
Team Stats
L1StreakW3
10-5-1Home Record8-6-0
4-7-1Away Record9-4-0
7-3-0Last 10 Games5-5-0
3.71Buts par match 4.37
3.54Buts contre par match 3.33
30.68%Pourcentage en avantage numérique25.56%
80.85%Pourcentage en désavantage numérique79.73%
Eagles
13-13-2, 28pts
2025-12-09
Admirals
14-12-2, 30pts
Statistiques d’équipe
W2SéquenceL1
5-8-0Fiche domicile10-5-1
8-5-2Fiche visiteur4-7-1
5-4-110 derniers matchs7-3-0
3.57Buts par match 3.71
3.79Buts contre par match 3.54
19.79%Pourcentage en avantage numérique30.68%
82.46%Pourcentage en désavantage numérique80.85%
Thunderbirds
3-25-1, 7pts
2025-12-11
Admirals
14-12-2, 30pts
Statistiques d’équipe
L3SéquenceL1
1-13-1Fiche domicile10-5-1
2-12-0Fiche visiteur4-7-1
0-9-110 derniers matchs7-3-0
3.10Buts par match 3.71
6.48Buts contre par match 3.54
15.58%Pourcentage en avantage numérique30.68%
69.23%Pourcentage en désavantage numérique80.85%
Admirals
14-12-2, 30pts
2025-12-13
Eagles
13-13-2, 28pts
Statistiques d’équipe
L1SéquenceW2
10-5-1Fiche domicile5-8-0
4-7-1Fiche visiteur8-5-2
7-3-010 derniers matchs5-4-1
3.71Buts par match 3.57
3.54Buts contre par match 3.79
30.68%Pourcentage en avantage numérique19.79%
80.85%Pourcentage en désavantage numérique82.46%
Meneurs d'équipe
Devon LeviVictoires
Devon Levi
14
Devon LeviPourcentage d’arrêts
Devon Levi
0.902

Statistiques d’équipe
Buts pour
104
3.71 GFG
Tirs pour
864
30.86 Avg
Pourcentage en avantage numérique
30.7%
27 GF
Début de zone offensive
39.2%
Buts contre
99
3.54 GAA
Tirs contre
963
34.39 Avg
Pourcentage en désavantage numérique
80.9%
18 GA
Début de la zone défensive
41.2%
Information d’équipe

Directeur généralYves Cardinal
EntraîneurSteve Potvin
DivisionCentral Division
ConférenceWestern Conference
CapitaineAdam Erne
Assistant #1Robert Hagg
Assistant #2Parker Wotherspoon


Informations de l’aréna

Capacité3,000
Assistance2,834
Billets de saison300


Information formation

Équipe Pro28
Équipe Mineure21
Limite contact 49 / 80
Espoirs42


Historique d'équipe

Saison actuelle14-12-2 (30PTS)
Historique54-45-10 (0.495%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)1-4
Stanley Cup0


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 moyen
1Hendrix Lapierre (R)0X100.00633793727080856776716163686465075650231950,000$
2Reese Johnson0X100.00796574627677786164605966586769075630272867,100$
3Raphael Lavoie (R)0X100.00774273638987835964586257636667075630251775,000$
4Joakim Kemell (R)0X100.00683785646982856352605957616263075620211950,000$
5Patrick Giles (R)0X100.00804182579376845955565857596567075620252837,900$
6Jacob Gaucher0X100.00703984578078855967565855576466075610242999,999$
7Jaxon Nelson0X100.00803992578977675661555459536567075610251760,000$
8Bradley Marek0X100.00774372558677745451535759566567075600242999,999$
9Danny Katic0X100.00844761579365615558565460536567075600252999,999$
10Lleyton Roed0X100.00613789587082715761595956586365075600231760,000$
11Adam Erne (C)0X100.007169825880737257525653595570720756003022,337,000$
12Lucas Edmonds (R)0X100.00603792566967755559545753566466075590241950,000$
13Denton Mateychuk (R)0X100.00613689716987736830696365586165075650213950,000$
14Parker Wotherspoon (A)0X100.007354836576868163306858715068700756502831,502,000$
15Tristan Luneau (R)0X100.00683888667885746530676064526163075640212950,000$
16Robert Hagg (A)0X100.009142756182788158306056635272710756303022,955,000$
17Mac Hollowell (R)0X100.00633972646375826230675254476769075610271850,000$
18Alex Kannok-Leipert69X100.00737765557263785230545356456567075580251755,000$
Rayé
1Yegor Sidorov (R)0X100.00623791617193706063596157626361075610213950,000$
2Gabriel Seger0X100.00793994558867705460535759546668075600251760,000$
3Ben Steeves0X100.00613972596185725660585753556365075590231760,000$
4Matthew Seminoff (R)0X100.00573889567068845557545358526264075580212950,000$
5Tyrel Bauer (R)0X100.00765661548564815330525156456365075580231950,000$
6Joseph Arntsen0X100.00764371538566605230505554466264075570221755,000$
MOYENNE D’ÉQUIPE100.0071458060787776585059575955656607561
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 moyen
1Devon Levi (R)100.0081908673807981807981806471075680231950,000$
2Cooper Black100.0073747098727173727173726471075650243999,999$
Rayé
1Henrik Tikkanen100.0070807698696870696870696573075640252985,000$
2Talyn Boyko100.0069716794686769686769686369075620223999,999$
MOYENNE D’ÉQUIPE100.007379759172717372717372647107565
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Steve Potvin75677160777276CAN503750,000$


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
1Hendrix LapierreAdmirals (NSH)C24122133180178497337012.37%1056823.6745913671014761158.30%76500001.1600000310
2Denton MateychukAdmirals (NSH)D27102333260305859245516.95%4469225.6556113078000281100.00%000010.9500000213
3Reese JohnsonAdmirals (NSH)RW271116275260924281267113.58%560822.5513416750000732045.16%12400000.8900000330
4Parker WotherspoonAdmirals (NSH)D279182712801095775193312.00%4368025.1985134378011266200.00%000000.7900000231
5Tristan LuneauAdmirals (NSH)D2761925120135156134310.71%5157521.310662062000179100.00%000000.8700000022
6Adam ErneAdmirals (NSH)LW2791120255222975165112.00%347517.6047111967000002061.76%3400000.8400100110
7Jacob GaucherAdmirals (NSH)C2761319-640154551184411.76%143416.092681051000060052.67%54300000.8700000001
8Raphael LavoieAdmirals (NSH)C1561016580345243133213.95%331621.072358280001421061.48%36600001.0100000211
9Lleyton RoedAdmirals (NSH)LW27781576071846173815.22%352219.34022974000071051.16%4300000.5700000002
10Joakim KemellAdmirals (NSH)RW279514-42094563143614.29%636913.68000010000321061.90%4200000.7600000000
11Patrick GilesAdmirals (NSH)RW278614280772564254312.50%653219.7213412660000531150.00%5600000.5300000011
12Robert HaggAdmirals (NSH)D2711213-254090373713312.70%3855820.691232063000058010.00%000000.4700000000
13Mac HollowellAdmirals (NSH)D2721012-21403226183811.11%2238814.3900012000022100.00%000000.6200000010
14Danny KaticAdmirals (NSH)LW274711-6135511939103310.26%735313.11011120001230152.94%3400000.6200010011
15Bradley MarekAdmirals (NSH)LW27347-312032232162114.29%1530511.3100000000000046.02%11300000.4600000001
16Jaxon NelsonAdmirals (NSH)C27167-34022362416294.17%435012.971124160001230051.24%40200000.4000000000
17Ben SteevesAdmirals (NSH)LW15112-1001632033.33%1664.4700002000080059.46%3700000.6000000001
18Gabriel SegerAdmirals (NSH)C80113801282130.00%910813.5100000000000050.00%2200000.1900000000
19Lucas EdmondsAdmirals (NSH)RW25101-320316185115.56%61646.5600000000000057.14%1400000.1200000000
20Alex Kannok-LeipertAdmirals (NSH)D6000-1401614120.00%78514.330000000001000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne471106191297-22141068467887627565412.10%284815617.322950792067411121265914454.99%259500010.7300110131514
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
1Devon LeviAdmirals (NSH)2614920.9023.25149520818280000.0000260301
2Cooper BlackAdmirals (NSH)30200.8464.8599008520100.0000127000
Statistiques d’équipe totales ou en moyenne29141120.8993.35159420898800100.00002727301


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam Erne (contrat à 1 volet)Admirals (NSH)LW301995-04-20No215 Lbs6 ft1NoNoNo2Pro & Farm2,337,000$1,594,516$2,337,000$1,594,516$2,337,000$1,594,516$No2,337,000$Lien / Lien NHL
Alex Kannok-LeipertAdmirals (NSH)D252000-07-20No190 Lbs6 ft0NoNoNo1Pro & Farm755,000$515,130$755,000$515,130$0$0$NoLien / Lien NHL
Ben SteevesAdmirals (NSH)LW232002-05-10No165 Lbs5 ft8NoNoNo1Pro & Farm760,000$518,542$760,000$518,542$0$0$NoLien / Lien NHL
Bradley MarekAdmirals (NSH)LW242000-11-13No212 Lbs6 ft3NoNoNo2Pro & Farm999,999$682,291$999,999$682,291$0$0$No999,999$Lien / Lien NHL
Cooper BlackAdmirals (NSH)G242001-06-14No223 Lbs6 ft8NoNoNo3Pro & Farm999,999$682,291$999,999$682,291$0$0$No999,999$999,999$Lien / Lien NHL
Danny KaticAdmirals (NSH)LW252000-08-04No220 Lbs6 ft5NoNoNo2Pro & Farm999,999$682,291$999,999$682,291$0$0$No999,999$Lien / Lien NHL
Denton MateychukAdmirals (NSH)D212004-07-12Yes185 Lbs5 ft11NoNoNo3Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$950,000$Lien / Lien NHL
Devon LeviAdmirals (NSH)G232001-12-27Yes192 Lbs6 ft0NoNoYes1Pro & Farm950,000$648,177$950,000$648,177$0$0$NoLien / Lien NHL
Gabriel SegerAdmirals (NSH)C251999-11-15No209 Lbs6 ft4NoNoNo1Pro & Farm760,000$518,542$760,000$518,542$0$0$NoLien / Lien NHL
Hendrix LapierreAdmirals (NSH)C232002-02-09Yes180 Lbs6 ft0NoNoNo1Pro & Farm950,000$648,177$950,000$648,177$0$0$NoLien / Lien NHL
Henrik TikkanenAdmirals (NSH)G252000-09-28No222 Lbs6 ft8NoNoNo2Pro & Farm985,000$672,057$985,000$672,057$0$0$No985,000$Lien / Lien NHL
Jacob GaucherAdmirals (NSH)C242001-03-09No185 Lbs6 ft3NoNoNo2Pro & Farm999,999$682,291$999,999$682,291$0$0$No999,999$Lien / Lien NHL
Jaxon NelsonAdmirals (NSH)C252000-03-30No215 Lbs6 ft4NoNoNo1Pro & Farm760,000$518,542$760,000$518,542$0$0$NoLien / Lien NHL
Joakim KemellAdmirals (NSH)RW212004-04-27Yes182 Lbs5 ft11NoNoNo1Pro & Farm950,000$648,177$950,000$648,177$0$0$NoLien / Lien NHL
Joseph ArntsenAdmirals (NSH)D222003-05-22No210 Lbs6 ft3NoNoNo1Pro & Farm755,000$515,130$755,000$515,130$0$0$NoLien / Lien NHL
Lleyton RoedAdmirals (NSH)LW232002-08-08No179 Lbs6 ft0NoNoNo1Pro & Farm760,000$518,542$760,000$518,542$0$0$NoLien / Lien NHL
Lucas EdmondsAdmirals (NSH)RW242001-01-27Yes185 Lbs5 ft11NoNoNo1Pro & Farm950,000$648,177$950,000$648,177$0$0$NoLien / Lien NHL
Mac HollowellAdmirals (NSH)D271998-09-26Yes170 Lbs5 ft9NoNoNo1Pro & Farm850,000$579,948$850,000$579,948$0$0$NoLien / Lien NHL
Matthew SeminoffAdmirals (NSH)RW212003-12-27Yes188 Lbs5 ft11NoNoNo2Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$Lien / Lien NHL
Parker WotherspoonAdmirals (NSH)D281997-08-24No192 Lbs6 ft1NoNoYes3Pro & Farm1,502,000$1,024,802$1,502,000$1,024,802$0$0$No1,502,000$1,502,000$Lien / Lien NHL
Patrick GilesAdmirals (NSH)RW252000-01-03Yes218 Lbs6 ft5NoNoNo2Pro & Farm837,900$571,692$837,900$571,692$0$0$No837,900$Lien / Lien NHL
Raphael LavoieAdmirals (NSH)C252000-09-25Yes215 Lbs6 ft4NoNoNo1Pro & Farm775,000$528,776$775,000$528,776$0$0$NoLien / Lien NHL
Reese JohnsonAdmirals (NSH)RW271998-07-10No193 Lbs6 ft1NoNoNo2Pro & Farm867,100$591,615$867,100$591,615$0$0$No867,100$Lien / Lien NHL
Robert Hagg (contrat à 1 volet)Admirals (NSH)D301995-02-08No210 Lbs6 ft2NoNoNo2Pro & Farm2,955,000$2,016,172$2,955,000$2,016,172$2,955,000$2,016,172$No2,955,000$Lien / Lien NHL
Talyn BoykoAdmirals (NSH)G222002-10-16No206 Lbs6 ft6NoNoNo3Pro & Farm999,999$682,291$999,999$682,291$0$0$No999,999$999,999$Lien / Lien NHL
Tristan LuneauAdmirals (NSH)D212004-01-12Yes202 Lbs6 ft1NoNoNo2Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$Lien / Lien NHL
Tyrel BauerAdmirals (NSH)D232002-03-23Yes206 Lbs6 ft3NoNoNo1Pro & Farm950,000$648,177$950,000$648,177$0$0$NoLien / Lien NHL
Yegor SidorovAdmirals (NSH)RW212004-06-18Yes184 Lbs6 ft0NoNoNo3Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$950,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2824.18198 Lbs6 ft21.711,043,178$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lleyton RoedHendrix LapierreReese Johnson40122
2Adam ErneRaphael LavoiePatrick Giles30122
3Danny KaticJacob GaucherJoakim Kemell20122
4Bradley MarekJaxon NelsonLucas Edmonds10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Denton MateychukParker Wotherspoon40122
2Tristan LuneauRobert Hagg30122
3Mac HollowellAlex Kannok-Leipert20122
4Denton MateychukParker Wotherspoon10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lleyton RoedHendrix LapierreReese Johnson60122
2Adam ErneRaphael LavoiePatrick Giles40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Denton MateychukParker Wotherspoon60122
2Tristan LuneauRobert Hagg40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Hendrix LapierreRaphael Lavoie60122
2Reese JohnsonPatrick Giles40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Denton MateychukParker Wotherspoon60122
2Tristan LuneauRobert Hagg40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Hendrix Lapierre60122Denton MateychukParker Wotherspoon60122
2Raphael Lavoie40122Tristan LuneauRobert Hagg40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Hendrix LapierreRaphael Lavoie60122
2Reese JohnsonPatrick Giles40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Denton MateychukParker Wotherspoon60122
2Tristan LuneauRobert Hagg40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lleyton RoedHendrix LapierreReese JohnsonDenton MateychukParker Wotherspoon
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lleyton RoedHendrix LapierreReese JohnsonDenton MateychukParker Wotherspoon
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joakim Kemell, Jacob Gaucher, Jaxon NelsonJoakim Kemell, Jacob GaucherJaxon Nelson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mac Hollowell, Alex Kannok-Leipert, Tristan LuneauMac HollowellAlex Kannok-Leipert, Tristan Luneau
Tirs de pénalité
Hendrix Lapierre, Raphael Lavoie, Reese Johnson, Patrick Giles, Joakim Kemell
Gardien
#1 : Devon Levi, #2 : Cooper Black
Lignes d’attaque personnalisées en prolongation
Hendrix Lapierre, Raphael Lavoie, Reese Johnson, Patrick Giles, Joakim Kemell, Jacob Gaucher, Jacob Gaucher, Jaxon Nelson, Lleyton Roed, Adam Erne, Danny Katic
Lignes de défense personnalisées en prolongation
Denton Mateychuk, Parker Wotherspoon, Tristan Luneau, Robert Hagg, Mac Hollowell


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
1Checkers21001000835100010002111100000062441.000815230040352817628029328748015446400.00%20100.00%053195355.72%518100351.65%25847853.97%688478639198360183
2Comets22000000743220000007430000000000041.00071219004035281482802932874812520478225.00%90100.00%053195355.72%518100351.65%25847853.97%688478639198360183
3Crunch1010000013-21010000013-20000000000000.00012300403528133280293287421146334125.00%30100.00%053195355.72%518100351.65%25847853.97%688478639198360183
4Eagles11000000514110000005140000000000021.0005101500403528131280293287445152206350.00%10100.00%053195355.72%518100351.65%25847853.97%688478639198360183
5Griffins11000000743000000000001100000074321.00071017004035281512802932874391263811100.00%3233.33%153195355.72%518100351.65%25847853.97%688478639198360183
6Gulls1010000046-21010000046-20000000000000.0004711004035281252802932874399423000.00%2150.00%053195355.72%518100351.65%25847853.97%688478639198360183
7IceHogs1010000047-3000000000001010000047-300.000471100403528120280293287441612292150.00%5180.00%053195355.72%518100351.65%25847853.97%688478639198360183
8Marlies1010000001-1000000000001010000001-100.000000004035281302802932874214417300.00%20100.00%053195355.72%518100351.65%25847853.97%688478639198360183
9Monsters1010000037-41010000037-40000000000000.0003690040352812628029328745864202150.00%2150.00%053195355.72%518100351.65%25847853.97%688478639198360183
10Moose21000100880110000006511000010023-130.75081422004035281792802932874562312463266.67%5260.00%053195355.72%518100351.65%25847853.97%688478639198360183
11Penguins21100000770110000004311010000034-120.50071219004035281592802932874652012719222.22%60100.00%053195355.72%518100351.65%25847853.97%688478639198360183
12Phantoms2010010079-21000010034-11010000045-110.25071421004035281542802932874722316438225.00%7271.43%053195355.72%518100351.65%25847853.97%688478639198360183
13Reign11000000431110000004310000000000021.000481200403528135280293287430178237228.57%4175.00%053195355.72%518100351.65%25847853.97%688478639198360183
14Roadrunners1010000038-51010000038-50000000000000.000369004035281222802932874476924300.00%20100.00%053195355.72%518100351.65%25847853.97%688478639198360183
15Rocket11000000615000000000001100000061521.00061218004035281302802932874301214222150.00%70100.00%053195355.72%518100351.65%25847853.97%688478639198360183
16Senators1010000024-2000000000001010000024-200.0002350040352812528029328742668215120.00%40100.00%053195355.72%518100351.65%25847853.97%688478639198360183
17Stars2110000046-22110000046-20000000000020.5004711004035281512802932874651629405120.00%10280.00%053195355.72%518100351.65%25847853.97%688478639198360183
18Wild11000000532000000000001100000053221.00051015004035281252802932874401414293266.67%6266.67%053195355.72%518100351.65%25847853.97%688478639198360183
19Wolf Pack1010000024-2000000000001010000024-200.0002460040352812928029328742612619400.00%2150.00%053195355.72%518100351.65%25847853.97%688478639198360183
20Wolves1010000067-1000000000001010000067-100.00061117004035281322802932874291482622100.00%4250.00%053195355.72%518100351.65%25847853.97%688478639198360183
21Wranglers2200000011382200000011380000000000041.000111930004035281832802932874521816577342.86%8187.50%053195355.72%518100351.65%25847853.97%688478639198360183
Total281312012001049951695011005754312470010047452300.5361041892930040352818642802932874963287214694882730.68%941880.85%153195355.72%518100351.65%25847853.97%688478639198360183
_Since Last GM Reset281312012001049951695011005754312470010047452300.5361041892930040352818642802932874963287214694882730.68%941880.85%153195355.72%518100351.65%25847853.97%688478639198360183
_Vs Conference1494001005549611830000044368311001001113-2190.679551001550040352814192802932874496149126338441636.36%521080.77%053195355.72%518100351.65%25847853.97%688478639198360183
_Vs Division843001002933-4532000001820-2311001001113-290.5632954830040352812282802932874294807818822940.91%29775.86%053195355.72%518100351.65%25847853.97%688478639198360183

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2830L110418929386496328721469400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
281312120010499
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
169511005754
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
124701004745
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
882730.68%941880.85%1
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
28029328744035281
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
53195355.72%518100351.65%25847853.97%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
688478639198360183


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
3 - 2025-10-0916Monsters7Admirals3BLSommaire du match
5 - 2025-10-1132Roadrunners8Admirals3BLSommaire du match
7 - 2025-10-1341Admirals2Senators4ALSommaire du match
8 - 2025-10-1449Admirals0Marlies1ALSommaire du match
10 - 2025-10-1662Admirals6Rocket1AWSommaire du match
12 - 2025-10-1884Admirals2Moose3ALXSommaire du match
15 - 2025-10-21105Gulls6Admirals4BLSommaire du match
17 - 2025-10-23118Comets2Admirals4BWSommaire du match
19 - 2025-10-25137Reign3Admirals4BWSommaire du match
20 - 2025-10-26145Stars2Admirals4BWSommaire du match
22 - 2025-10-28156Crunch3Admirals1BLSommaire du match
24 - 2025-10-30170Admirals4Phantoms5ALSommaire du match
26 - 2025-11-01183Wranglers1Admirals4BWSommaire du match
28 - 2025-11-03201Comets2Admirals3BWSommaire du match
29 - 2025-11-04208Admirals5Wild3AWSommaire du match
31 - 2025-11-06223Phantoms4Admirals3BLXSommaire du match
33 - 2025-11-08233Stars4Admirals0BLSommaire du match
35 - 2025-11-10253Admirals2Wolf Pack4ALSommaire du match
39 - 2025-11-14279Penguins3Admirals4BWSommaire du match
41 - 2025-11-16296Admirals3Penguins4ALSommaire du match
47 - 2025-11-22343Eagles1Admirals5BWSommaire du match
49 - 2025-11-24357Checkers1Admirals2BWXSommaire du match
51 - 2025-11-26361Admirals7Griffins4AWSommaire du match
53 - 2025-11-28389Admirals4IceHogs7ALSommaire du match
54 - 2025-11-29397Moose5Admirals6BWSommaire du match
57 - 2025-12-02416Wranglers2Admirals7BWSommaire du match
59 - 2025-12-04429Admirals6Checkers2AWSommaire du match
61 - 2025-12-06447Admirals6Wolves7ALSommaire du match
64 - 2025-12-09475Eagles-Admirals-
66 - 2025-12-11487Thunderbirds-Admirals-
68 - 2025-12-13506Admirals-Eagles-
70 - 2025-12-15517Admirals-Thunderbirds-
72 - 2025-12-17532Wolves-Admirals-
75 - 2025-12-20558Marlies-Admirals-
76 - 2025-12-21567Wolf Pack-Admirals-
78 - 2025-12-23582Admirals-Wild-
82 - 2025-12-27595Admirals-Thunderbirds-
84 - 2025-12-29612Admirals-Roadrunners-
86 - 2025-12-31623Admirals-Silver Knights-
87 - 2026-01-01639Admirals-Firebirds-
89 - 2026-01-03654Admirals-Wranglers-
92 - 2026-01-06674Admirals-Condors-
94 - 2026-01-08689Sound Tigers-Admirals-
96 - 2026-01-10707IceHogs-Admirals-
97 - 2026-01-11713Bears-Admirals-
99 - 2026-01-13731Condors-Admirals-
102 - 2026-01-16752Admirals-Eagles-
103 - 2026-01-17765Admirals-Silver Knights-
106 - 2026-01-20784Americans-Admirals-
108 - 2026-01-22798Senators-Admirals-
110 - 2026-01-24811Roadrunners-Admirals-
113 - 2026-01-27830Admirals-Bruins-
115 - 2026-01-29847Admirals-Devils-
117 - 2026-01-31867Admirals-Sound Tigers-
119 - 2026-02-02880Thunderbirds-Admirals-
121 - 2026-02-04896Wild-Admirals-
122 - 2026-02-05907Admirals-Bears-
143 - 2026-02-26926IceHogs-Admirals-
145 - 2026-02-28945Admirals-Stars-
147 - 2026-03-02955Griffins-Admirals-
148 - 2026-03-03963Admirals-Monsters-
150 - 2026-03-05979Bruins-Admirals-
152 - 2026-03-07992Admirals-Americans-
155 - 2026-03-101024Admirals-Firebirds-
157 - 2026-03-121038Admirals-Comets-
160 - 2026-03-151061Admirals-Condors-
162 - 2026-03-171072Admirals-Moose-
164 - 2026-03-191088Firebirds-Admirals-
166 - 2026-03-211100Silver Knights-Admirals-
167 - 2026-03-221113Admirals-IceHogs-
169 - 2026-03-241129Barracuda-Admirals-
171 - 2026-03-261144Devils-Admirals-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2026-03-281161Rocket-Admirals-
174 - 2026-03-291168Admirals-Crunch-
178 - 2026-04-021204Admirals-Reign-
180 - 2026-04-041220Admirals-Barracuda-
182 - 2026-04-061232Admirals-Reign-
183 - 2026-04-071243Admirals-Gulls-
185 - 2026-04-091257Admirals-Roadrunners-
187 - 2026-04-111267Wild-Admirals-
189 - 2026-04-131287Barracuda-Admirals-
192 - 2026-04-161307Gulls-Admirals-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3020
Assistance31,55713,787
Assistance PCT98.62%86.17%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-6 2834 - 94.47% 95,504$1,528,062$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
963,993$ 2,391,700$ 2,391,700$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 725,722$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-573,023$ 131 16,363$ 2,143,553$




Admirals Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Tristan Luneau102185775-33812115416410.98%164223421.9181321641123220.00%00.6700
2Parker Wotherspoon9115587316892221381728.72%128189920.87101323870113400.00%00.7700
3Joakim Kemell933635711862416328512.63%21180119.3755102200096146.70%10.7902
4Chris Wagner76314071-16716922527611.23%18166921.96310133700035245.75%00.8514
5Reese Johnson7027437025422812523211.64%18146921.00313164301124049.25%00.9502

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
1Henrik Tikkanen70352460.9013.5439470023323540620.54511
2Devon Levi2614920.9023.25149520818280000.0000
3Mitchell Gibson235930.9013.57100900606050120.0000
4Cooper Black30200.8464.8599008520100.0000

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
Saison régulière
202482333306613283300-1741201500411143145-241131806202140155-15892835127954010390839266785195683339296384472321302415824.07%3096977.67%21399289448.34%1473308447.76%624135146.19%1915129919806061066528
2025281312012001049951695011005754312470010047452301041892930040352818642802932874963287214694882730.68%941880.85%153195355.72%518100351.65%25847853.97%688478639198360183
Total Saison régulière110464507813387399-1257292001511200199153172506302187200-13119387701108840143125111103531113112491120433926113193728243298525.84%4038778.41%31930384750.17%1991408748.72%882182948.22%2603177826198051427712
Séries éliminatoires
2024514000001624-821100000610-4303000001014-42162642007540131384051220957461239444.44%22768.18%08916753.29%10422446.43%459149.45%10772133386330
Total Séries éliminatoires514000001624-821100000610-4303000001014-42162642007540131384051220957461239444.44%22768.18%08916753.29%10422446.43%459149.45%10772133386330

Admirals Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Tristan Luneau5055-4248100.00%1012324.6702210000000.00%00.8100
2Mac Hollowell53250278742.86%711022.0011230000000.00%00.9100
3Patrick Giles51342279714.29%28817.66011000000050.00%00.9100
4Jake Gaudet513422991010.00%17815.64000000001051.69%01.0200
5Jonah Gadjovich5224061921118.18%110320.74101100000055.56%00.7700

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
1Henrik Tikkanen51310.8864.5626300201760200.0000
2Mitchell Gibson10000.8796.0040004330000.0000