Admirals
GP: 82 | W: 42 | L: 34 | OTL: 6 | P: 90
GF: 286 | GA: 277 | PP%: 26.44% | PK%: 80.29%
DG: Yves Cardinal | Morale : 75 | Moyenne d’équipe : 62
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Centre de jeu
Barracuda
50-26-6, 106pts
3
FINAL
2 Admirals
42-34-6, 90pts
Team Stats
W3StreakW1
27-11-3Home Record23-14-4
23-15-3Away Record19-20-2
7-3-0Last 10 Games6-4-0
4.34Buts par match 3.49
3.28Buts contre par match 3.38
23.64%Pourcentage en avantage numérique26.44%
82.86%Pourcentage en désavantage numérique80.29%
Gulls
41-38-3, 85pts
2
FINAL
5 Admirals
42-34-6, 90pts
Team Stats
L2StreakW1
23-15-3Home Record23-14-4
18-23-0Away Record19-20-2
4-6-0Last 10 Games6-4-0
3.70Buts par match 3.49
3.88Buts contre par match 3.38
20.16%Pourcentage en avantage numérique26.44%
75.77%Pourcentage en désavantage numérique80.29%
Meneurs d'équipe
Devon LeviVictoires
Devon Levi
30
Devon LeviPourcentage d’arrêts
Devon Levi
0.904

Statistiques d’équipe
Buts pour
286
3.49 GFG
Tirs pour
2732
33.32 Avg
Pourcentage en avantage numérique
26.4%
69 GF
Début de zone offensive
40.5%
Buts contre
277
3.38 GAA
Tirs contre
2763
33.70 Avg
Pourcentage en désavantage numérique
80.3%
54 GA
Début de la zone défensive
40.7%
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
Assistance2,893
Billets de saison300


Information formation

Équipe Pro28
Équipe Mineure20
Limite contact 48 / 80
Espoirs32


Historique d'équipe

Saison actuelle42-34-6 (90PTS)
Historique82-67-14 (0.503%)
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$
3Joakim Kemell (R)0X100.00683785646982856352605957616263075620211950,000$
4Jacob Gaucher0X100.00703984578078855967565855576466075610242999,999$
5Jaxon Nelson0X100.00803992578977675661555459536567075610251760,000$
6Yegor Sidorov (R)0X100.00623791617193706063596157626361075610213950,000$
7Lleyton Roed0X100.00613789587082715761595956586365075600231760,000$
8Adam Erne (C)0X100.007169825880737257525653595570720756003022,337,000$
9Ben Steeves0X100.00613972596185725660585753556365075590231760,000$
10Lucas Edmonds (R)0X100.00603792566967755559545753566466075590241950,000$
11Denton Mateychuk (R)0X100.00613689716987736830696365586165075650213950,000$
12Parker Wotherspoon (A)0X100.007354836576868163306858715068700756502831,502,000$
13Tristan Luneau (R)0X100.00683888667885746530676064526163075640212950,000$
14Robert Hagg (A)0X100.009142756182788158306056635272710756303022,955,000$
15Mac Hollowell (R)0X100.00633972646375826230675254476769075610271850,000$
16Tyrel Bauer (R)0X100.00765661548564815330525156456365075580231950,000$
Rayé
1Raphael Lavoie (R)0X100.00774273638987835964586257636667075630251775,000$
2Patrick Giles (R)0X100.00804182579376845955565857596567075620252837,900$
3Bradley Marek0X100.00774372558677745451535759566567075600242999,999$
4Danny Katic0X100.00844761579365615558565460536567075600252999,999$
5Gabriel Seger0X100.00793994558867705460535759546668075600251760,000$
6Matthew Seminoff (R)0X100.00573889567068845557545358526264075580212950,000$
7Alex Kannok-Leipert69X100.00737765557263785230545356456567075580251755,000$
8Joseph 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)C78355489-41405032633310423610.51%34187123.9911142543211101112582158.36%269000000.9527000540
2Denton MateychukAdmirals (NSH)D80216788-92001071541866213311.29%139204725.59101929912240115221300.00%100020.8601000525
3Parker WotherspoonAdmirals (NSH)D66135265-582023114416258978.02%104165925.14111526821810113149210.00%300000.7801000292
4Tristan LuneauAdmirals (NSH)D74194564-9160691401644912811.59%111161521.8371017771820112202510.00%000100.7900000157
5Reese JohnsonAdmirals (NSH)RW6925325766802201132227618711.26%17150021.7546103617700001173448.00%25000000.7635000652
6Joakim KemellAdmirals (NSH)RW81272653-17220691272376817911.39%23135216.70538221070001864151.76%17000010.7813000133
7Adam ErneAdmirals (NSH)LW81202747-2262099781973811410.15%15151518.7161622442110000245154.72%10600000.6200202210
8Raphael LavoieAdmirals (NSH)C53182644752101361641614411111.18%10112621.2548123211910131482055.03%127200010.7825002331
9Mac HollowellAdmirals (NSH)D77536416500103856418427.81%75122615.930331145000064100.00%000000.6700000011
10Lleyton RoedAdmirals (NSH)LW81182240916039811796813510.06%11159119.65167322180001292056.25%11200000.5000000004
11Jacob GaucherAdmirals (NSH)C68122335-512049100123431039.76%2296614.21291117830000440154.12%91100000.7200000112
12Robert HaggAdmirals (NSH)D5972633-48801907610536796.67%83120420.413811581380000129110.00%000000.5500000014
13Bradley MarekAdmirals (NSH)LW7411152612801436983327313.25%39103514.00000000000171147.25%21800000.5000000212
14Patrick GilesAdmirals (NSH)RW44131326518011037109407411.93%1085319.40268231100000733148.19%8300000.6101000121
15Jaxon NelsonAdmirals (NSH)C8191423-635510312611541807.83%26107413.271124180002451053.47%105100000.4300001010
16Yegor SidorovAdmirals (NSH)RW401110212752056110327510.00%1761515.392138350001122065.00%8000100.6811001012
17Danny KaticAdmirals (NSH)LW435813-9281077336812517.35%952112.13011120001230150.00%4200000.5000110011
18Gabriel SegerAdmirals (NSH)C284610828040272581716.00%2839414.09101120001100053.66%4100000.5100000111
19Lucas EdmondsAdmirals (NSH)RW62281002014375515293.64%145268.4900000000000157.14%4200000.3800000000
20Ben SteevesAdmirals (NSH)LW31448-76024182371217.39%83099.9800002000080052.50%12000000.5200000002
21Alex Kannok-LeipertAdmirals (NSH)D911216021251420.00%913014.450000000006100.00%000000.3100000100
22Tyrel BauerAdmirals (NSH)D6112014014421250.00%78414.090000000007010.00%000000.4700000010
Statistiques d’équipe totales ou en moyenne1285281516797-3263850192819972728853196110.30%8112322318.07701261965822073235311681381655.33%719200240.69924316314340
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)59302250.9043.2033594117918730000.643145723612
2Cooper BlackAdmirals (NSH)28121110.8953.38150901858070300.800102458200
Statistiques d’équipe totales ou en moyenne87423360.9013.2548684226426800300.708248181812


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$2,337,000$2,337,000$0$No2,337,000$Lien / Lien NHL
Alex Kannok-LeipertAdmirals (NSH)D252000-07-20No190 Lbs6 ft0NoNoNo1Pro & Farm755,000$755,000$0$0$NoLien / Lien NHL
Ben SteevesAdmirals (NSH)LW232002-05-10No165 Lbs5 ft8NoNoNo1Pro & Farm760,000$760,000$0$0$NoLien / Lien NHL
Bradley MarekAdmirals (NSH)LW242000-11-13No212 Lbs6 ft3NoNoNo2Pro & Farm999,999$999,999$0$0$No999,999$Lien / Lien NHL
Cooper BlackAdmirals (NSH)G242001-06-14No223 Lbs6 ft8NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Danny KaticAdmirals (NSH)LW252000-08-04No220 Lbs6 ft5NoNoNo2Pro & Farm999,999$999,999$0$0$No999,999$Lien / Lien NHL
Denton MateychukAdmirals (NSH)D212004-07-12Yes185 Lbs5 ft11NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Devon LeviAdmirals (NSH)G232001-12-27Yes192 Lbs6 ft0NoNoYes1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Gabriel SegerAdmirals (NSH)C251999-11-15No209 Lbs6 ft4NoNoNo1Pro & Farm760,000$760,000$0$0$NoLien / Lien NHL
Hendrix LapierreAdmirals (NSH)C232002-02-09Yes180 Lbs6 ft0NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Henrik TikkanenAdmirals (NSH)G252000-09-28No222 Lbs6 ft8NoNoNo2Pro & Farm985,000$985,000$0$0$No985,000$Lien / Lien NHL
Jacob GaucherAdmirals (NSH)C242001-03-09No185 Lbs6 ft3NoNoNo2Pro & Farm999,999$999,999$0$0$No999,999$Lien / Lien NHL
Jaxon NelsonAdmirals (NSH)C252000-03-30No215 Lbs6 ft4NoNoNo1Pro & Farm760,000$760,000$0$0$NoLien / Lien NHL
Joakim KemellAdmirals (NSH)RW212004-04-27Yes182 Lbs5 ft11NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Joseph ArntsenAdmirals (NSH)D222003-05-22No210 Lbs6 ft3NoNoNo1Pro & Farm755,000$755,000$0$0$NoLien / Lien NHL
Lleyton RoedAdmirals (NSH)LW232002-08-08No179 Lbs6 ft0NoNoNo1Pro & Farm760,000$760,000$0$0$NoLien / Lien NHL
Lucas EdmondsAdmirals (NSH)RW242001-01-27Yes185 Lbs5 ft11NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Mac HollowellAdmirals (NSH)D271998-09-26Yes170 Lbs5 ft9NoNoNo1Pro & Farm850,000$850,000$0$0$NoLien / Lien NHL
Matthew SeminoffAdmirals (NSH)RW212003-12-27Yes188 Lbs5 ft11NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Parker WotherspoonAdmirals (NSH)D281997-08-24No192 Lbs6 ft1NoNoYes3Pro & Farm1,502,000$1,502,000$0$0$No1,502,000$1,502,000$Lien / Lien NHL
Patrick GilesAdmirals (NSH)RW252000-01-03Yes218 Lbs6 ft5NoNoNo2Pro & Farm837,900$837,900$0$0$No837,900$Lien / Lien NHL
Raphael LavoieAdmirals (NSH)C252000-09-25Yes215 Lbs6 ft4NoNoNo1Pro & Farm775,000$775,000$0$0$NoLien / Lien NHL
Reese JohnsonAdmirals (NSH)RW271998-07-10No193 Lbs6 ft1NoNoNo2Pro & Farm867,100$867,100$0$0$No867,100$Lien / Lien NHL
Robert Hagg (contrat à 1 volet)Admirals (NSH)D301995-02-08No210 Lbs6 ft2NoNoNo2Pro & Farm2,955,000$2,955,000$2,955,000$0$No2,955,000$Lien / Lien NHL
Talyn BoykoAdmirals (NSH)G222002-10-16No206 Lbs6 ft6NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Tristan LuneauAdmirals (NSH)D212004-01-12Yes202 Lbs6 ft1NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Tyrel BauerAdmirals (NSH)D232002-03-23Yes206 Lbs6 ft3NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Yegor SidorovAdmirals (NSH)RW212004-06-18Yes184 Lbs6 ft0NoNoNo3Pro & Farm950,000$950,000$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
1Adam ErneHendrix LapierreReese Johnson40122
2Lleyton RoedJoakim Kemell30122
3Jaxon NelsonYegor Sidorov20122
4Ben SteevesJacob GaucherLucas Edmonds10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Parker WotherspoonDenton Mateychuk40122
2Tristan LuneauRobert Hagg30122
3Mac HollowellTyrel Bauer20122
4Parker WotherspoonDenton Mateychuk10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adam ErneHendrix LapierreReese Johnson60122
2Lleyton RoedJoakim Kemell40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Parker WotherspoonDenton Mateychuk60122
2Tristan LuneauRobert Hagg40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Hendrix Lapierre60122
2Reese JohnsonJoakim Kemell40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Parker WotherspoonDenton Mateychuk60122
2Tristan LuneauRobert Hagg40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Hendrix Lapierre60122Parker WotherspoonDenton Mateychuk60122
240122Tristan LuneauRobert Hagg40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Hendrix Lapierre60122
2Reese JohnsonJoakim Kemell40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Parker WotherspoonDenton Mateychuk60122
2Tristan LuneauRobert Hagg40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adam ErneHendrix LapierreReese JohnsonParker WotherspoonDenton Mateychuk
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adam ErneHendrix LapierreReese JohnsonParker WotherspoonDenton Mateychuk
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Yegor Sidorov, Jaxon Nelson, Jacob GaucherYegor Sidorov, Jaxon NelsonJacob Gaucher
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mac Hollowell, Tyrel Bauer, Tristan LuneauMac HollowellTyrel Bauer, Tristan Luneau
Tirs de pénalité
Hendrix Lapierre, , Reese Johnson, Joakim Kemell, Yegor Sidorov
Gardien
#1 : Cooper Black, #2 : Devon Levi
Lignes d’attaque personnalisées en prolongation
Hendrix Lapierre, , Reese Johnson, Joakim Kemell, Yegor Sidorov, Jaxon Nelson, Jaxon Nelson, Jacob Gaucher, Adam Erne, Lleyton Roed,
Lignes de défense personnalisées en prolongation
Parker Wotherspoon, Denton Mateychuk, 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
1Americans2010001056-1100000103211010000024-220.5005712001089181116794187689247782312465120.00%6266.67%01624291655.69%1575292853.79%740134954.86%2073145718475871045537
2Barracuda32100000871211000006601100000021140.66781624001089181117794187689247742148658112.50%17194.12%01624291655.69%1575292853.79%740134954.86%2073145718475871045537
3Bears21100000660110000005051010000016-520.50061218011089181116094187689247612413554125.00%4175.00%01624291655.69%1575292853.79%740134954.86%2073145718475871045537
4Bruins20100010660100000102111010000045-120.50061016001089181115294187689247732114427228.57%7185.71%01624291655.69%1575292853.79%740134954.86%2073145718475871045537
5Checkers21001000835100010002111100000062441.000815230010891811176941876892478015446400.00%20100.00%01624291655.69%1575292853.79%740134954.86%2073145718475871045537
6Comets330000001275220000007431100000053261.00012213300108918111989418768924711538287113430.77%13192.31%01624291655.69%1575292853.79%740134954.86%2073145718475871045537
7Condors3110000178-11010000034-12100000144030.5007121900108918111100941876892471032918736116.67%8187.50%01624291655.69%1575292853.79%740134954.86%2073145718475871045537
8Crunch2110000045-11010000013-21100000032120.5004711001089181115694187689247462114438225.00%7185.71%01624291655.69%1575292853.79%740134954.86%2073145718475871045537
9Devils211000009811010000034-11100000064220.500916250010891811182941876892476319203612325.00%8187.50%01624291655.69%1575292853.79%740134954.86%2073145718475871045537
10Eagles43100000181262200000010462110000088060.750183452001089181111409418768924713041267916743.75%11554.55%01624291655.69%1575292853.79%740134954.86%2073145718475871045537
11Firebirds32100000111101010000025-32200000096340.6671119300010891811182941876892479129257110330.00%10460.00%01624291655.69%1575292853.79%740134954.86%2073145718475871045537
12Griffins2200000016610110000009271100000074341.00016264200108918111113941876892477127125944100.00%6266.67%21624291655.69%1575292853.79%740134954.86%2073145718475871045537
13Gulls312000001215-3211000009811010000037-420.33312223400108918111111941876892471353414804125.00%7271.43%01624291655.69%1575292853.79%740134954.86%2073145718475871045537
14IceHogs403000011021-112010000148-420200000613-710.125101828001089181111149418768924716240289312325.00%13376.92%01624291655.69%1575292853.79%740134954.86%2073145718475871045537
15Marlies2020000014-31010000013-21010000001-100.00011200108918111469418768924747141438500.00%7357.14%01624291655.69%1575292853.79%740134954.86%2073145718475871045537
16Monsters20200000712-51010000037-41010000045-100.00071219001089181115894187689247922015466233.33%4250.00%01624291655.69%1575292853.79%740134954.86%2073145718475871045537
17Moose311001001013-3110000006512010010048-430.50010182800108918111101941876892471053618683266.67%8362.50%01624291655.69%1575292853.79%740134954.86%2073145718475871045537
18Penguins21100000770110000004311010000034-120.50071219001089181115994187689247652012719222.22%60100.00%01624291655.69%1575292853.79%740134954.86%2073145718475871045537
19Phantoms2010010079-21000010034-11010000045-110.25071421001089181115494187689247722316438225.00%7271.43%01624291655.69%1575292853.79%740134954.86%2073145718475871045537
20Reign32100000981110000004312110000055040.667917260010891811197941876892479130287820630.00%14285.71%01624291655.69%1575292853.79%740134954.86%2073145718475871045537
21Roadrunners403001001020-1020100100713-62020000037-410.1251020300010891811198941876892471643841897114.29%16287.50%01624291655.69%1575292853.79%740134954.86%2073145718475871045537
22Rocket2200000015411110000009361100000061541.000152843001089181119294187689247621716555480.00%80100.00%01624291655.69%1575292853.79%740134954.86%2073145718475871045537
23Senators2110000067-1110000004311010000024-220.50061016001089181115594187689247582212379222.22%60100.00%01624291655.69%1575292853.79%740134954.86%2073145718475871045537
24Silver Knights3200100016971000100043122000000126661.0001628440010891811114094187689247109341464600.00%7185.71%01624291655.69%1575292853.79%740134954.86%2073145718475871045537
25Sound Tigers2110000058-31010000015-41100000043120.50051015001089181117494187689247823043465240.00%12191.67%01624291655.69%1575292853.79%740134954.86%2073145718475871045537
26Stars31100010910-12110000046-21000001054140.66791524001089181117994187689247922637648112.50%14378.57%01624291655.69%1575292853.79%740134954.86%2073145718475871045537
27Thunderbirds4400000018992200000083522000000106481.000183553011089181112049418768924799312410414428.57%11190.91%01624291655.69%1575292853.79%740134954.86%2073145718475871045537
28Wild412000101112-12010001056-12110000066040.5001118290010891811111894187689247137393510018316.67%14471.43%01624291655.69%1575292853.79%740134954.86%2073145718475871045537
29Wolf Pack2010000136-31000000112-11010000024-210.25036900108918111599418768924752191250900.00%4175.00%01624291655.69%1575292853.79%740134954.86%2073145718475871045537
30Wolves20200000812-41010000025-31010000067-100.00081523001089181116194187689247632816565240.00%8362.50%01624291655.69%1575292853.79%740134954.86%2073145718475871045537
31Wranglers3210000012662200000011381010000013-240.66712213300108918111109941876892479127188711327.27%9188.89%01624291655.69%1575292853.79%740134954.86%2073145718475871045537
Total823634023432862779411814022321431291441182000111143148-5900.54928651580102108918111273294187689247276383664719552616926.44%2745480.29%21624291655.69%1575292853.79%740134954.86%2073145718475871045537
_Since Last GM Reset823634023432862779411814022321431291441182000111143148-5900.54928651580102108918111273294187689247276383664719552616926.44%2745480.29%21624291655.69%1575292853.79%740134954.86%2073145718475871045537
_Vs Conference502518012221731685251380111190819251210001118387-4600.60017331448701108918111166894187689247169849340211861564025.64%1723480.23%01624291655.69%1575292853.79%740134954.86%2073145718475871045537
_Vs Division261011002218697-111364001114445-11347001104252-10270.519861582440110891811185494187689247889251209597782126.92%872175.86%01624291655.69%1575292853.79%740134954.86%2073145718475871045537

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8290W128651580127322763836647195502
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8236342343286277
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4118142232143129
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4118200111143148
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2616926.44%2745480.29%2
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
94187689247108918111
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
1624291655.69%1575292853.79%740134954.86%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2073145718475871045537


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 - 2025-12-09475Eagles3Admirals5BWSommaire du match
66 - 2025-12-11487Thunderbirds1Admirals4BWSommaire du match
68 - 2025-12-13506Admirals4Eagles2AWSommaire du match
70 - 2025-12-15517Admirals3Thunderbirds0AWSommaire du match
72 - 2025-12-17532Wolves5Admirals2BLSommaire du match
75 - 2025-12-20558Marlies3Admirals1BLSommaire du match
76 - 2025-12-21567Wolf Pack2Admirals1BLXXSommaire du match
78 - 2025-12-23582Admirals1Wild3ALSommaire du match
82 - 2025-12-27595Admirals7Thunderbirds6AWSommaire du match
84 - 2025-12-29612Admirals1Roadrunners4ALSommaire du match
86 - 2025-12-31623Admirals5Silver Knights3AWSommaire du match
87 - 2026-01-01639Admirals5Firebirds4AWSommaire du match
89 - 2026-01-03654Admirals1Wranglers3ALSommaire du match
92 - 2026-01-06674Admirals2Condors3ALXXSommaire du match
94 - 2026-01-08689Sound Tigers5Admirals1BLSommaire du match
96 - 2026-01-10707IceHogs4Admirals3BLXXSommaire du match
97 - 2026-01-11713Bears0Admirals5BWSommaire du match
99 - 2026-01-13731Condors4Admirals3BLSommaire du match
102 - 2026-01-16752Admirals4Eagles6ALSommaire du match
103 - 2026-01-17765Admirals7Silver Knights3AWSommaire du match
106 - 2026-01-20784Americans2Admirals3BWXXSommaire du match
108 - 2026-01-22798Senators3Admirals4BWSommaire du match
110 - 2026-01-24811Roadrunners5Admirals4BLXSommaire du match
113 - 2026-01-27830Admirals4Bruins5ALSommaire du match
115 - 2026-01-29847Admirals6Devils4AWSommaire du match
117 - 2026-01-31867Admirals4Sound Tigers3AWSommaire du match
119 - 2026-02-02880Thunderbirds2Admirals4BWSommaire du match
121 - 2026-02-04896Wild3Admirals1BLSommaire du match
122 - 2026-02-05907Admirals1Bears6ALSommaire du match
143 - 2026-02-26926IceHogs4Admirals1BLSommaire du match
145 - 2026-02-28945Admirals5Stars4AWXXSommaire du match
147 - 2026-03-02955Griffins2Admirals9BWSommaire du match
148 - 2026-03-03963Admirals4Monsters5ALSommaire du match
150 - 2026-03-05979Bruins1Admirals2BWXXSommaire du match
152 - 2026-03-07992Admirals2Americans4ALSommaire du match
155 - 2026-03-101024Admirals4Firebirds2AWSommaire du match
157 - 2026-03-121038Admirals5Comets3AWSommaire du match
160 - 2026-03-151061Admirals2Condors1AWSommaire du match
162 - 2026-03-171072Admirals2Moose5ALSommaire du match
164 - 2026-03-191088Firebirds5Admirals2BLSommaire du match
166 - 2026-03-211100Silver Knights3Admirals4BWXSommaire du match
167 - 2026-03-221113Admirals2IceHogs6ALSommaire du match
169 - 2026-03-241129Barracuda3Admirals4BWSommaire du match
171 - 2026-03-261144Devils4Admirals3BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2026-03-281161Rocket3Admirals9BWSommaire du match
174 - 2026-03-291168Admirals3Crunch2AWSommaire du match
178 - 2026-04-021204Admirals2Reign1AWSommaire du match
180 - 2026-04-041220Admirals2Barracuda1AWSommaire du match
182 - 2026-04-061232Admirals3Reign4ALSommaire du match
183 - 2026-04-071243Admirals3Gulls7ALSommaire du match
185 - 2026-04-091257Admirals2Roadrunners3ALSommaire du match
187 - 2026-04-111267Wild3Admirals4BWXXSommaire du match
189 - 2026-04-131287Barracuda3Admirals2BLSommaire du match
192 - 2026-04-161307Gulls2Admirals5BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3020
Assistance80,58038,034
Assistance PCT98.27%92.77%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-31 2893 - 96.43% 96,893$3,972,599$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,096,090$ 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$ 2,335,977$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-3,003,672$ 0 16,363$ 0$




Admirals Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Tristan Luneau1493183114-135217724327211.40%224327421.981517321211234630.00%00.7000
2Parker Wotherspoon1301992111101433442252597.34%189287822.141323361260114410.00%00.7701
3Joakim Kemell14754561105268424545911.76%38278518.951081844000109247.17%20.7915
4Reese Johnson112415910039635619637310.99%30236121.08616226301125449.74%00.8537
5Raphael Lavoie101455297239624830133113.60%34217121.50914236310157053.23%20.8937

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 Levi59302250.9043.2033594117918730000.64314
3Cooper Black28121110.8953.38150901858070300.80010
4Mitchell Gibson235930.9013.57100900606050120.0000

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
2025823634023432862779411814022321431291441182000111143148-59028651580102108918111273294187689247276383664719552616926.44%2745480.29%21624291655.69%1575292853.79%740134954.86%2073145718475871045537
Total Saison régulière164696708956569577-8823829026432862741282313806313283303-20179569102715964221118116420539917921832172586572616801370408550212725.30%58312378.90%43023581052.03%3048601250.70%1364270050.52%398827573827119421111066
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