Admirals
GP: 73 | W: 38 | L: 27 | OTL: 8 | P: 84
GF: 257 | GA: 265 | PP%: 23.85% | PK%: 78.80%
DG: Yves Cardinal | Morale : 75 | Moyenne d’équipe : 61
Prochain matchs #1179 vs Phantoms
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Centre de jeu
Thunderbirds
26-45-4, 56pts
3
FINAL
5 Admirals
38-27-8, 84pts
Team Stats
L2StreakW3
17-18-2Home Record21-12-4
9-27-2Away Record17-15-4
6-4-0Last 10 Games7-2-1
2.95Buts par match 3.52
4.03Buts contre par match 3.63
19.56%Pourcentage en avantage numérique23.85%
78.41%Pourcentage en désavantage numérique78.80%
Silver Knights
37-29-7, 81pts
4
FINAL
6 Admirals
38-27-8, 84pts
Team Stats
L1StreakW3
18-15-4Home Record21-12-4
19-14-3Away Record17-15-4
5-4-1Last 10 Games7-2-1
3.60Buts par match 3.52
3.30Buts contre par match 3.63
22.08%Pourcentage en avantage numérique23.85%
77.78%Pourcentage en désavantage numérique78.80%
Admirals
38-27-8, 84pts
2025-03-31
Phantoms
40-27-8, 88pts
Statistiques d’équipe
W3SéquenceL1
21-12-4Fiche domicile24-9-5
17-15-4Fiche visiteur16-18-3
7-2-110 derniers matchs6-3-1
3.52Buts par match 3.68
3.63Buts contre par match 3.27
23.85%Pourcentage en avantage numérique21.76%
78.80%Pourcentage en désavantage numérique78.54%
Admirals
38-27-8, 84pts
2025-04-01
Monsters
36-32-4, 76pts
Statistiques d’équipe
W3SéquenceL3
21-12-4Fiche domicile18-16-1
17-15-4Fiche visiteur18-16-3
7-2-110 derniers matchs3-7-0
3.52Buts par match 3.58
3.63Buts contre par match 3.68
23.85%Pourcentage en avantage numérique21.86%
78.80%Pourcentage en désavantage numérique78.84%
Admirals
38-27-8, 84pts
2025-04-03
Stars
48-15-10, 106pts
Statistiques d’équipe
W3SéquenceW1
21-12-4Fiche domicile27-4-5
17-15-4Fiche visiteur21-11-5
7-2-110 derniers matchs7-2-1
3.52Buts par match 4.03
3.63Buts contre par match 3.32
23.85%Pourcentage en avantage numérique28.45%
78.80%Pourcentage en désavantage numérique79.56%
Meneurs d'équipe
Raphael LavoieButs
Raphael Lavoie
27
Raphael LavoiePasses
Raphael Lavoie
26
Raphael LavoiePoints
Raphael Lavoie
53
Raphael LavoiePlus/Moins
Raphael Lavoie
16
Victoires
Henrik Tikkanen
33
Pourcentage d’arrêts
Mitchell Gibson
0.902

Statistiques d’équipe
Buts pour
257
3.52 GFG
Tirs pour
2417
33.11 Avg
Pourcentage en avantage numérique
23.9%
52 GF
Début de zone offensive
39.6%
Buts contre
265
3.63 GAA
Tirs contre
2623
35.93 Avg
Pourcentage en désavantage numérique
78.8%
60 GA
Début de la zone défensive
41.8%
Information d’équipe

Directeur généralYves Cardinal
EntraîneurGeoff Ward
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,773
Billets de saison300


Information formation

Équipe Pro23
Équipe Mineure19
Limite contact 42 / 80
Espoirs34


Historique d'équipe

Saison actuelle38-27-8 (84PTS)
Historique1060-1014-233 (0.459%)
Apparitions séries éliminatoires 5
Historique séries éliminatoires (W-L)17-28
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
SP
Âge
Contrat
Salaire moyen
1Chris Wagner0XXX100.007840716473807862615963655875760756403311,154,000$
2Joakim Kemell (R)0X100.00603789656988746366646260656162075630202950,000$
3Reese Johnson (R)0X100.00856475627677785983605770586667075630261812,600$
4Jonah Gadjovich (R)0X100.00797753608272746153596258606668075620252850,000$
5Joe Carroll0X100.00724174588175725960576156626465075610233999,999$
6Colin Theisen0X100.00633793617280715963605857616769075610271850,000$
7Patrick Giles (R)0X100.00784087568777865452555758566466075610241950,000$
8Bradley Marek0X100.00773995568673645451535860556466075600233999,999$
9Lucas Edmonds (R)0X100.00603695596970775755565958566365075600232950,000$
10Jacob Gaucher0X100.00713990588075705760555659546365075600233999,999$
11Jake Gaudet0X100.00724371578174725660545558566870075600281875,000$
12Greg Meireles0X100.00573690586670805754565553586567075590251875,000$
13Matthew Seminoff (R)0X100.00613794577071725652555354566163075580203950,000$
14Robert Hagg0X100.008440766282817661306660675271720756502932,955,000$
15Brandt Clarke (R)0X100.00684074678083746630686062536364075640212950,000$
16Parker Wotherspoon (R)0X100.00695474657685786330665870506769075640271950,000$
17Mac Hollowell (R)0X100.00633974646380766230675657496668075620262850,000$
18Artem Guryev0X100.00725651549167655530525358456163075580213999,999$
19Tyrel Bauer (R)0X100.00764660538564795230545356456264075580222950,000$
Rayé
1Tristan Luneau (R)0X78.73673785667686616430656360576162075630203950,000$
2Jacob Murray0X100.00744087538360625230515055456264075570223985,000$
MOYENNE D’ÉQUIPE98.9971447960787673594859586055656607561
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
SP
Âge
Contrat
Salaire moyen
1Henrik Tikkanen100.0074736998737274737274736471075650243985,000$
2Mitchell Gibson (R)100.0074706675737274737274736573075640253950,000$
Rayé
MOYENNE D’ÉQUIPE100.007472688773727473727473657207565
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Geoff Ward71757072908456CAN6211,500,000$


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’équipe
POS
GP
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
1Chris WagnerAdmirals (NSH)C/LW/RW67303464-14601492022458319112.24%14145821.7738113313200031805246.29%167200000.8814000644
2Brandt ClarkeAdmirals (NSH)D66124557-13208610712428839.68%100143321.7251116601300002175000.00%000000.8000000402
3Jonah GadjovichAdmirals (NSH)LW732231531010210245822126014310.38%13145419.922911271780111916241.38%14500000.7301020444
4Raphael LavoiePredatorsC48272653164401121371704612215.88%24104521.7756113111000021165051.54%136200011.0112000643
5Joakim KemellAdmirals (NSH)RW582428522220141051953714012.31%14126221.7655101912700081925144.71%29300010.8202000423
6Mac HollowellAdmirals (NSH)D6984149324093918827509.09%74130518.923912321141013139010.00%000000.7500000112
7Robert HaggAdmirals (NSH)D5993847-1274021010611936777.56%98138623.507916601450000145010.00%000000.6800000234
8Tristan LuneauAdmirals (NSH)D69113647-336010695102419510.78%110156722.727714421561122214120.00%000000.6000000040
9Parker WotherspoonAdmirals (NSH)D5663743165515103709025556.67%70104718.70279391050001113200.00%000000.8200021243
10Reese JohnsonAdmirals (NSH)RW34142236424096661263210711.11%1167919.99291124840112532053.33%10500001.0602000651
11Joe CarrollAdmirals (NSH)LW72161935-5160105721583510110.13%10118316.4324612890002511348.39%18600000.5900000003
12Colin TheisenAdmirals (NSH)LW72181735-81005384167548810.78%12112415.6111210490004774148.25%22800000.6211000113
13Jacob GaucherAdmirals (NSH)C7213213401005913213541969.63%15112315.60202201030002684148.01%135600000.6100000111
14Patrick GilesAdmirals (NSH)RW73181634-1626098571663411110.84%10126317.30325211270000491146.20%15800100.5400000004
15Lucas EdmondsAdmirals (NSH)RW73101222-8100246110826739.26%2097213.32022631000000045.76%11800000.4500000010
16Jake GaudetAdmirals (NSH)C7041822121568998627534.65%116819.73011220000031046.76%81900000.6500001010
17Tyrel BauerAdmirals (NSH)D682911-97010146334012245.00%78107915.872139450001100000.00%000000.2000002010
18Bradley MarekAdmirals (NSH)LW71448-42027182692115.38%32743.87101180001350136.96%4600000.5800000000
19Artem GuryevAdmirals (NSH)D46437-537590272461716.67%3857112.42000215000029000.00%000000.2500010010
20Greg MeirelesAdmirals (NSH)RW63325-2004141951815.79%22313.6801107000000037.25%5100000.4300000000
21Jacob MurrayAdmirals (NSH)D230447601046260.00%162159.3700012000013000.00%000000.3700000000
22Matthew SeminoffAdmirals (NSH)RW67123100311113129.09%11482.2200003000050042.00%5000000.4000000000
Statistiques d’équipe totales ou en moyenne1369256465721664745190116732417669168310.59%7442150915.7152921444511789235341858371647.67%658900120.67312054373737
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’équipe
GP
W
L
OTL
PCT
GAA
MP
PIM
SO
GA
SA
SAR
A
EG
PS %
PSA
ST
BG
S1
S2
S3
1Henrik TikkanenAdmirals (NSH)61331850.9013.5234250020120310510.545115716422
2Mitchell GibsonAdmirals (NSH)225930.9023.5299000585890120.00001657111
Statistiques d’équipe totales ou en moyenne83382780.9013.5244160025926200630.545117373533


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’équipe
POS
Âge
Date de naissance
Nouveau joueur
Poids
Taille
Non-échange
Disponible pour échange
Ballotage forcé
Contrat
Type
Salaire actuel
Salaire restant
Salaire moyen
Salaire moyen restant
Plafond salarial
Plafond salarial restant
Exclus du plafond salarial
Salaire annuel 2
Salaire annuel 3
Salaire annuel 4
Salaire annuel 5
Salaire annuel 6
Salaire annuel 7
Salaire annuel 8
Salaire annuel 9
Salaire annuel 10
Link
Artem GuryevAdmirals (NSH)D212003-05-17No225 Lbs6 ft4NoNoNo3Pro & Farm999,999$96,939$999,999$96,939$0$0$No999,999$999,999$Lien
Bradley MarekAdmirals (NSH)LW232000-11-13No212 Lbs6 ft3NoNoNo3Pro & Farm999,999$96,939$999,999$96,939$0$0$No999,999$999,999$Lien
Brandt ClarkeAdmirals (NSH)D212003-02-09Yes200 Lbs6 ft2NoNoNo2Pro & Farm950,000$92,092$950,000$92,092$0$0$No950,000$Lien / Lien NHL
Chris Wagner (contrat à 1 volet)Admirals (NSH)C/LW/RW331991-05-27No192 Lbs6 ft0NoNoNo1Pro & Farm1,154,000$111,867$1,154,000$111,867$1,154,000$111,867$NoLien / Lien NHL
Colin TheisenAdmirals (NSH)LW271997-04-24No187 Lbs6 ft0NoNoNo1Pro & Farm850,000$82,398$850,000$82,398$0$0$NoLien / Lien NHL
Greg MeirelesAdmirals (NSH)RW251999-01-01No180 Lbs5 ft10NoNoNo1Pro & Farm875,000$84,821$875,000$84,821$0$0$NoLien / Lien NHL
Henrik TikkanenAdmirals (NSH)G242000-09-28No222 Lbs6 ft8NoNoNo3Pro & Farm985,000$95,485$985,000$95,485$0$0$No985,000$985,000$Lien
Jacob GaucherAdmirals (NSH)C232001-03-09No185 Lbs6 ft3NoNoNo3Pro & Farm999,999$96,939$999,999$96,939$0$0$No999,999$999,999$Lien
Jacob MurrayAdmirals (NSH)D222002-04-11No199 Lbs6 ft3NoNoNo3Pro & Farm985,000$95,485$985,000$95,485$0$0$No985,000$985,000$Lien
Jake GaudetAdmirals (NSH)C281996-06-18No201 Lbs6 ft2NoNoNo1Pro & Farm875,000$84,821$875,000$84,821$0$0$NoLien / Lien NHL
Joakim KemellAdmirals (NSH)RW202004-04-27Yes182 Lbs5 ft11NoNoNo2Pro & Farm950,000$92,092$950,000$92,092$0$0$No950,000$Lien / Lien NHL
Joe CarrollAdmirals (NSH)LW232001-02-01No203 Lbs6 ft2NoNoNo3Pro & Farm999,999$96,939$999,999$96,939$0$0$No999,999$999,999$Lien
Jonah GadjovichAdmirals (NSH)LW251998-10-12Yes209 Lbs6 ft2NoNoNo2Pro & Farm850,000$82,398$850,000$82,398$0$0$No850,000$Lien / Lien NHL
Lucas EdmondsAdmirals (NSH)RW232001-01-27Yes185 Lbs5 ft11NoNoNo2Pro & Farm950,000$92,092$950,000$92,092$0$0$No950,000$Lien / Lien NHL
Mac HollowellAdmirals (NSH)D261998-09-26Yes170 Lbs5 ft9NoNoNo2Pro & Farm850,000$82,398$850,000$82,398$0$0$No850,000$Lien / Lien NHL
Matthew SeminoffAdmirals (NSH)RW202003-12-27Yes188 Lbs5 ft11NoNoNo3Pro & Farm950,000$92,092$950,000$92,092$0$0$No950,000$950,000$
Mitchell GibsonAdmirals (NSH)G251999-06-25Yes188 Lbs6 ft1NoNoNo3Pro & Farm950,000$92,092$950,000$92,092$0$0$No950,000$950,000$
Parker WotherspoonAdmirals (NSH)D271997-08-24Yes195 Lbs6 ft1NoNoNo1Pro & Farm950,000$92,092$950,000$92,092$0$0$NoLien / Lien NHL
Patrick GilesAdmirals (NSH)RW242000-01-03Yes203 Lbs6 ft4NoNoNo1Pro & Farm950,000$92,092$950,000$92,092$0$0$NoLien / Lien NHL
Reese JohnsonAdmirals (NSH)RW261998-07-10Yes193 Lbs6 ft1NoNoNo1Pro & Farm812,600$78,772$812,600$78,772$0$0$NoLien / Lien NHL
Robert Hagg (contrat à 1 volet)Admirals (NSH)D291995-02-08No210 Lbs6 ft2NoNoNo3Pro & Farm2,955,000$286,454$2,955,000$286,454$2,955,000$286,454$No2,955,000$2,955,000$Lien / Lien NHL
Tristan Luneau (sur la masse salariale)Admirals (NSH)D202004-01-12Yes195 Lbs6 ft1NoNoNo3Pro & Farm950,000$92,092$950,000$92,092$0$0$Yes950,000$950,000$
Tyrel BauerAdmirals (NSH)D222002-03-23Yes206 Lbs6 ft3NoNoNo2Pro & Farm950,000$92,092$950,000$92,092$0$0$No950,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2324.22197 Lbs6 ft12.131,032,243$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonah GadjovichChris WagnerJoakim Kemell40122
2Joe CarrollJacob GaucherReese Johnson30122
3Colin TheisenJake GaudetPatrick Giles20122
4Bradley MarekChris WagnerLucas Edmonds10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Robert HaggBrandt Clarke40122
2Parker WotherspoonMac Hollowell30122
3Tyrel BauerLucas Edmonds20122
4Robert HaggBrandt Clarke10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonah GadjovichChris WagnerJoakim Kemell60122
2Joe CarrollJacob GaucherReese Johnson40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Robert HaggBrandt Clarke60122
2Parker WotherspoonMac Hollowell40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Chris WagnerJoakim Kemell60122
2Reese JohnsonJonah Gadjovich40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Robert HaggBrandt Clarke60122
2Parker WotherspoonMac Hollowell40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Chris Wagner60122Robert HaggBrandt Clarke60122
2Joakim Kemell40122Parker WotherspoonMac Hollowell40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Chris WagnerJoakim Kemell60122
2Reese JohnsonJonah Gadjovich40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Robert HaggBrandt Clarke60122
2Parker WotherspoonMac Hollowell40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jonah GadjovichChris WagnerJoakim KemellRobert HaggBrandt Clarke
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jonah GadjovichChris WagnerJoakim KemellRobert HaggBrandt Clarke
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Greg Meireles, Matthew Seminoff, Patrick GilesGreg Meireles, Matthew SeminoffPatrick Giles
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyrel Bauer, Parker Wotherspoon, Mac HollowellTyrel BauerParker Wotherspoon, Mac Hollowell
Tirs de pénalité
Chris Wagner, Joakim Kemell, Reese Johnson, Jonah Gadjovich, Joe Carroll
Gardien
#1 : Henrik Tikkanen, #2 : Mitchell Gibson
Lignes d’attaque personnalisées en prolongation
Chris Wagner, Joakim Kemell, Reese Johnson, Jonah Gadjovich, Joe Carroll, Patrick Giles, Patrick Giles, Colin Theisen, Jacob Gaucher, Lucas Edmonds, Jake Gaudet
Lignes de défense personnalisées en prolongation
Robert Hagg, Brandt Clarke, Parker Wotherspoon, Mac Hollowell, Tyrel Bauer


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
Total
Domicile
Visiteur
#
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
1Americans21100000981110000006331010000035-220.50091625009582739617578757583999262452300.00%11372.73%01256259048.49%1314273648.03%571121547.00%171111621760540948471
2Barracuda3100100110911000000134-12100100075250.83310172700958273996757875758391163535829111.11%14285.71%01256259048.49%1314273648.03%571121547.00%171111621760540948471
3Bears21100000770110000004221010000035-220.50071219009582739877578757583970168536350.00%4175.00%01256259048.49%1314273648.03%571121547.00%171111621760540948471
4Bruins210000011091110000006421000000145-130.75010203000958273971757875758396812135110330.00%4175.00%01256259048.49%1314273648.03%571121547.00%171111621760540948471
5Checkers22000000642110000004311100000021141.00061218009582739557578757583961181843500.00%80100.00%01256259048.49%1314273648.03%571121547.00%171111621760540948471
6Comets303000001016-61010000046-220200000610-400.000101828009582739747578757583912332347012216.67%11372.73%01256259048.49%1314273648.03%571121547.00%171111621760540948471
7Condors321000001091220000009451010000015-440.667102030009582739827578757583910331268111100.00%13192.31%01256259048.49%1314273648.03%571121547.00%171111621760540948471
8Crunch210001006511000010034-11100000031230.75061218009582739617578757583975181648500.00%7185.71%01256259048.49%1314273648.03%571121547.00%171111621760540948471
9Devils21100000910-11010000037-41100000063320.500915240095827397175787575839742318586233.33%8450.00%01256259048.49%1314273648.03%571121547.00%171111621760540948471
10Eagles413000001218-62110000078-120200000510-520.25012193100958273915075787575839135543611311218.18%18383.33%01256259048.49%1314273648.03%571121547.00%171111621760540948471
11Firebirds32100000981220000007431010000024-240.6679162510958273992757875758398529167211327.27%8187.50%01256259048.49%1314273648.03%571121547.00%171111621760540948471
12Griffins211000001073110000005141010000056-120.5001017270095827396775787575839611824515120.00%12466.67%01256259048.49%1314273648.03%571121547.00%171111621760540948471
13Gulls30201000513-81010000015-42010100048-420.33351015009582739997578757583910638288011545.45%14378.57%01256259048.49%1314273648.03%571121547.00%171111621760540948471
14IceHogs420010101798210000109632100100083581.00017294600958273915475787575839124345311116212.50%18288.89%01256259048.49%1314273648.03%571121547.00%171111621760540948471
15Marlies220000001165110000006331100000053241.0001121320095827397575787575839732611496116.67%30100.00%01256259048.49%1314273648.03%571121547.00%171111621760540948471
16Monsters1000010045-11000010045-10000000000010.50047110095827394275787575839431012304125.00%5180.00%01256259048.49%1314273648.03%571121547.00%171111621760540948471
17Moose413000001323-1020200000613-721100000710-320.25013213400958273913975787575839150333710011327.27%16662.50%11256259048.49%1314273648.03%571121547.00%171111621760540948471
18Penguins2020000039-61010000015-41010000024-200.0003691095827395275787575839972528484125.00%12466.67%01256259048.49%1314273648.03%571121547.00%171111621760540948471
19Phantoms11000000211110000002110000000000021.00024600958273931757875758394181436200.00%70100.00%01256259048.49%1314273648.03%571121547.00%171111621760540948471
20Reign3110100011101211000006601000100054140.66711213210958273991757875758391152518828225.00%90100.00%01256259048.49%1314273648.03%571121547.00%171111621760540948471
21Roadrunners1010000034-11010000034-10000000000000.00036900958273934757875758392788273133.33%4175.00%01256259048.49%1314273648.03%571121547.00%171111621760540948471
22Rocket11000000633000000000001100000063321.000610160095827393275787575839321517205240.00%6266.67%01256259048.49%1314273648.03%571121547.00%171111621760540948471
23Senators2020000017-61010000003-31010000014-300.000112009582739547578757583967172864800.00%14378.57%01256259048.49%1314273648.03%571121547.00%171111621760540948471
24Silver Knights2200000010642200000010640000000000041.000101727009582739687578757583962184398337.50%10100.00%01256259048.49%1314273648.03%571121547.00%171111621760540948471
25Sound Tigers1000000123-1000000000001000000123-110.5002460095827393275787575839401712227114.29%6183.33%01256259048.49%1314273648.03%571121547.00%171111621760540948471
26Stars21001000972110000003211000100065141.000917260095827397175787575839722512455240.00%6266.67%01256259048.49%1314273648.03%571121547.00%171111621760540948471
27Thunderbirds4300010016133220000008532100010088070.87516304600958273915475787575839135252110416318.75%8275.00%01256259048.49%1314273648.03%571121547.00%171111621760540948471
28Wild30300000912-31010000012-120200000810-200.00091625009582739105757875758391113932746116.67%15380.00%11256259048.49%1314273648.03%571121547.00%171111621760540948471
29Wolf Pack210001008711000010045-11100000042230.750815230095827396475787575839731516505360.00%7271.43%01256259048.49%1314273648.03%571121547.00%171111621760540948471
30Wolves210010001165110000006241000100054141.0001120310095827396775787575839652014586233.33%7271.43%01256259048.49%1314273648.03%571121547.00%171111621760540948471
31Wranglers31100100811-31010000014-32100010077030.5008162400958273986757875758391203414883133.33%7271.43%01256259048.49%1314273648.03%571121547.00%171111621760540948471
Total73312706513257265-837201200311132127536111506202125138-13840.575257465722309582739241775787575839262374464719012185223.85%2836078.80%21256259048.49%1314273648.03%571121547.00%171111621760540948471
_Since Last GM Reset73312706513257265-837201200311132127536111506202125138-13840.575257465722309582739241775787575839262374464719012185223.85%2836078.80%21256259048.49%1314273648.03%571121547.00%171111621760540948471
_Vs Conference45171905211152168-1623129000117879-122510052007489-15490.544152273425209582739149575787575839158446037411681313224.43%1623180.86%21256259048.49%1314273648.03%571121547.00%171111621760540948471
_Vs Division22810021107986-71155000103740-31135021004246-4230.5237913821700958273980775787575839754218199574681420.59%851977.65%21256259048.49%1314273648.03%571121547.00%171111621760540948471

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7384W325746572224172623744647190130
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7331276513257265
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3720120311132127
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3611156202125138
Derniers 10 matchs
WLOTWOTL SOWSOL
720100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2185223.85%2836078.80%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
757875758399582739
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
1256259048.49%1314273648.03%571121547.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
171111621760540948471


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
Jour
Match
Équipe visiteuse
Score
Équipe locale
Score
ST
OT
SO
RI
Lien
7 - 2024-10-1017Stars2Admirals3BWSommaire du match
9 - 2024-10-1228Admirals5Griffins6ALSommaire du match
12 - 2024-10-1553Firebirds2Admirals4BWSommaire du match
14 - 2024-10-1769Condors2Admirals5BWSommaire du match
16 - 2024-10-1976Griffins1Admirals5BWSommaire du match
19 - 2024-10-22101Bruins4Admirals6BWSommaire du match
22 - 2024-10-25120Admirals5IceHogs1AWSommaire du match
23 - 2024-10-26131Monsters5Admirals4BLXSommaire du match
25 - 2024-10-28141Admirals3Crunch1AWSommaire du match
28 - 2024-10-31166Condors2Admirals4BWSommaire du match
30 - 2024-11-02182Eagles5Admirals1BLSommaire du match
32 - 2024-11-04192Reign2Admirals0BLSommaire du match
34 - 2024-11-06205Admirals3Bears5ALSommaire du match
35 - 2024-11-07211Admirals2Checkers1AWSommaire du match
37 - 2024-11-09232Roadrunners4Admirals3BLSommaire du match
39 - 2024-11-11243Admirals2Eagles4ALSommaire du match
42 - 2024-11-14264Admirals1Condors5ALSommaire du match
43 - 2024-11-15269Admirals3Wranglers4ALXSommaire du match
45 - 2024-11-17285Admirals4Comets6ALSommaire du match
48 - 2024-11-20304Admirals2Firebirds4ALSommaire du match
51 - 2024-11-23329Moose7Admirals2BLSommaire du match
53 - 2024-11-25336Admirals6Devils3AWSommaire du match
55 - 2024-11-27356Phantoms1Admirals2BWSommaire du match
57 - 2024-11-29369Crunch4Admirals3BLXSommaire du match
58 - 2024-11-30384Admirals5Wild6ALSommaire du match
62 - 2024-12-04406Admirals5Marlies3AWSommaire du match
63 - 2024-12-05411Admirals6Rocket3AWSommaire du match
65 - 2024-12-07431Admirals1Senators4ALSommaire du match
68 - 2024-12-10451Wranglers4Admirals1BLSommaire du match
70 - 2024-12-12466Admirals6Stars5AWXSommaire du match
72 - 2024-12-14484Admirals3Eagles6ALSommaire du match
75 - 2024-12-17502Wolf Pack5Admirals4BLXSommaire du match
77 - 2024-12-19515Penguins5Admirals1BLSommaire du match
79 - 2024-12-21528Reign4Admirals6BWSommaire du match
81 - 2024-12-23553Wolves2Admirals6BWSommaire du match
85 - 2024-12-27562Admirals5Thunderbirds4AWSommaire du match
88 - 2024-12-30587Admirals3Moose7ALSommaire du match
89 - 2024-12-31596Admirals3Wild4ALSommaire du match
92 - 2025-01-03619Admirals2Comets4ALSommaire du match
93 - 2025-01-04627Admirals4Wranglers3AWSommaire du match
96 - 2025-01-07647Admirals4Moose3AWSommaire du match
100 - 2025-01-11679Bears2Admirals4BWSommaire du match
103 - 2025-01-14701Silver Knights2Admirals4BWSommaire du match
105 - 2025-01-16714IceHogs2Admirals3BWXXSommaire du match
107 - 2025-01-18733Wild2Admirals1BLSommaire du match
110 - 2025-01-21752Barracuda4Admirals3BLXXSommaire du match
112 - 2025-01-23771Admirals4Barracuda3AWSommaire du match
114 - 2025-01-25787Admirals4Gulls3AWXSommaire du match
118 - 2025-01-29810Comets6Admirals4BLSommaire du match
120 - 2025-01-31822Admirals3Americans5ALSommaire du match
121 - 2025-02-01830Admirals2Penguins4ALSommaire du match
123 - 2025-02-03844Senators3Admirals0BLSommaire du match
127 - 2025-02-07873Admirals3IceHogs2AWXSommaire du match
128 - 2025-02-08885Americans3Admirals6BWSommaire du match
142 - 2025-02-22898Eagles3Admirals6BWSommaire du match
143 - 2025-02-23911Devils7Admirals3BLSommaire du match
145 - 2025-02-25927Checkers3Admirals4BWSommaire du match
147 - 2025-02-27941Moose6Admirals4BLSommaire du match
149 - 2025-03-01949Admirals2Sound Tigers3ALXXSommaire du match
150 - 2025-03-02965Admirals4Wolf Pack2AWSommaire du match
152 - 2025-03-04973Admirals4Bruins5ALXXSommaire du match
154 - 2025-03-06993Firebirds2Admirals3BWSommaire du match
156 - 2025-03-081009IceHogs4Admirals6BWSommaire du match
159 - 2025-03-111035Admirals3Barracuda2AWXSommaire du match
162 - 2025-03-141053Admirals0Gulls5ALSommaire du match
163 - 2025-03-151064Admirals5Reign4AWXSommaire du match
166 - 2025-03-181082Thunderbirds2Admirals3BWSommaire du match
168 - 2025-03-201096Gulls5Admirals1BLSommaire du match
170 - 2025-03-221114Marlies3Admirals6BWSommaire du match
171 - 2025-03-231121Admirals3Thunderbirds4ALXSommaire du match
173 - 2025-03-251132Admirals5Wolves4AWXSommaire du match
175 - 2025-03-271147Thunderbirds3Admirals5BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
177 - 2025-03-291163Silver Knights4Admirals6BWSommaire du match
179 - 2025-03-311179Admirals-Phantoms-
180 - 2025-04-011185Admirals-Monsters-
182 - 2025-04-031201Admirals-Stars-
185 - 2025-04-061228Rocket-Admirals-
187 - 2025-04-081241Sound Tigers-Admirals-
189 - 2025-04-101257Admirals-Roadrunners-
191 - 2025-04-121274Admirals-Silver Knights-
193 - 2025-04-141288Roadrunners-Admirals-
195 - 2025-04-161304Stars-Admirals-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3020
Assistance72,97729,617
Assistance PCT98.62%80.05%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-27 2773 - 92.43% 93,382$3,455,134$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,098,545$ 1,868,260$ 1,868,260$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,728,596$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-2,521,314$ 19 17,185$ 326,515$




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
1Jordan Schroeder706193225418-7158764126419329.99%2151193416.903433672234372721644.33%30.70317
2Julien Gauthier36115621437087218831698137411.35%125793821.993355882423362222948.71%20.93219
3Marc-Andre Cliche3621351953307142720830113511.89%218675618.662256781115383718549.32%20.98721
4Steve Bernier2681511593102854516470111513.54%174552120.6037347112231412181037.62%91.12422
5Curtis Lazar2381091752845912038276799610.94%111521321.912336591451012021755.84%11.09214

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
1Zachary Fucale263111108180.8973.631395924384581880350.75048
2Jordan Binnington22486105180.9052.931245341760964130640.71069
3Tomas Vokoun1408445100.9142.9382694540447122323770.74443
4Dov Grumet-Morris1306346150.9073.1776356740343212236730.72161
5Jeremy Smith95493570.9112.9755392127430651636540.82829

Admirals Statistiques de l'Équipe de Carrière

Total
Domicile
Visiteur
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
580223808345167211-44401017061338593-84012210221282118-36761672814480130535349180005266126202475951123816891893518.52%2294480.79%4575124146.33%707159644.30%505107047.20%1421573186410091863936
580294200243239260-2140142500100113133-2040151700143126127-1712393926310506972942223060276684327491039108017761954422.56%2075374.40%7672142147.29%777167746.33%619123350.20%1416610192510071794873
680303103367238250-1240121800145115126-1140181303222123124-188238378616060578884203105846927262277667100017061964623.47%1894874.60%10711145948.73%807159750.53%605119350.71%1467624368820111853933
680333504620269295-2640181701220134141-740151803400135154-1984269437706220739793264407321038854262786994419222105626.67%1924377.60%6807171347.11%769165046.61%623132347.09%1471716389819931672794
776293702134224233-938151901012118123-538141801122106110-47322436659004066787521190618725760215268085419711884725.00%1765867.05%10727139852.00%698141049.50%599112653.20%147667714167751705864
776263505424186255-6938121603214103135-323814190221083120-377418629748303036766719790527748687255385374917541633622.09%1943283.51%7617138044.71%672161641.58%497115143.18%131157416568181630773
876213804175194249-553813180303198114-16388200114496135-397019430349744039628219160476661755226078081118691914523.56%2135972.30%5663136848.46%765155749.13%46595748.59%139358515118071719872
876282903565279256233817140223014512421381115013351341322842794447233105610810624520736888806254083895418821924322.40%2245575.45%6763167645.53%775168146.10%501113644.10%146370115767791585785
9803031017562352350401714004231271171040131701333108118-108523537861327055908419600500742691231876477422571953920.00%2075274.88%4683144847.17%810173946.58%507105348.15%147962415798431805909
980263405474254281-2740141604312129140-1140121801162125141-168425440666033066918526900830924911276390779324611563220.51%2565976.95%3832172848.15%863194144.46%500116043.10%157778316688141629787
1080233106767228254-2640121502434116132-1640111604333112122-1084228368596340458190232006908057752540835121820461614427.33%2185475.23%2828166949.61%831177946.71%582114550.83%150667716068441774881
1080293702237220239-1940161700133116119-340132002104104120-167722035057025045927823970698869809268686465120082075325.60%2045573.04%5815168348.43%872185746.96%495107046.26%150268916468271707855
1180273503744215227-1240101703622105108-340171800122110119-97921535356825041848323090708831730243680880823551624427.16%2416473.44%6777158549.02%829173247.86%482104746.04%153170015838441742851
1180313402535230263-3340151402324136138-24016200021194125-318223037360331055947626500835984800272894584122401915327.75%2926976.37%5907180050.39%967193150.08%530113846.57%154573916548351647792
1276313101346249252-338171601121127125238141500225122127-581249409658340529597283009121023881260983595923291815429.83%2787573.02%8899184748.67%884181048.84%564113049.91%157081615257661516724
13803326065822652362940101405461119120-140231201121146116301012654216861408296733109010471045982259589443221122093918.66%1212876.86%41054204451.57%881170951.55%599119650.08%168488815647931615798
148043230434330925752402014022111381241440239021321711333810830951882744078118105302009711038989281494690721811965528.06%2826975.53%10946188250.27%1003199750.23%631122151.68%161884016418081584757
1580293308244246255-940201104023139111284092204221107144-378824639464041074817925770852898790276091655519451906132.11%2266571.24%4882166752.91%963190350.60%593111053.42%154873416128061703864
1676333301234219222-338201401102113991438131900132106123-178021938960845079676921830666747752221566551015752154721.86%2244480.36%31146235948.58%1196242349.36%580118548.95%1777120518195701005497
1780194703344206267-6140102102124101137-364092601220105130-255920635756307071676123520753794782256277452015532264017.70%2215276.47%51227247849.52%1311263849.70%645126950.83%1811123219986091046506
1876194703016194278-8438102301004102139-37389240201292139-475219435154520070625819900650668658241374546415062074421.26%1824276.92%31045220347.44%1051238943.99%543121544.69%1692114019025761008493
1982254203354190248-5841171901112103122-19418230224287126-397319033952915072555519470644641637277486272117651762916.48%3165781.96%51039219147.42%1354291846.40%572121946.92%1726113121636431086510
2082304000435239267-2841132100223121139-1841171900212118128-107523942366232081797626130790881911273778573219942904415.17%3077376.22%31353285547.39%1405295147.61%634125350.60%1916129819896281062519
21823830074212992702941191303321147121264119170410015214939929954884722011390873063010019941033285184163620422215123.08%2705280.74%31628307352.98%1536294452.17%719136852.56%1961136719435861046522
2282293606452305321-1641141703331170167341151903121135154-19863055468513001051018829640963984972306588277620592436325.93%3207975.31%31692314353.83%1591300652.93%789145554.23%1964135319505981052521
238235300833333830929412111051211821443841141903212156165-998338613951121331058913328410591076110566299192670921272436627.16%3027076.82%31831328155.81%1659317152.32%772144753.35%2028143119135871028516
202282234406612276352-764116160431115615064172802301120202-826827651979540103937382901101292093246336296861719702134119.25%2776875.45%21464287250.97%1546313449.33%693143348.36%1903133420365841030499
202382293807521294311-1741171605210168164441122202311126147-2182294533827011031047893015983100999637296782768321502666524.44%2626276.34%11477308647.86%1508308348.91%689138749.68%1943134119545971059531
202473312706513257265-837201200311132127536111506202125138-1384257465722309582739241775787575839262374464719012185223.85%2836078.80%21256259048.49%1314273648.03%571121547.00%171111621760540948471
Total Saison régulière22998311014011710911211670647618-554115043947506457565936583732-74114939253905352565734063886-48023457064119511901559100434201723902033717553811221912478920342764422441022583571455890136823.23%6913164176.26%139293165914049.57%303446257548.49%171043490549.00%474212655455053239124192820649
Séries éliminatoires
6404000001018-820200000813-52020000025-3010182800020811302921531464133929111.11%11281.82%0428151.85%387848.72%346056.67%7430377520549147
91055000002628-242200000880633000001820-21026406600088926706988814021275728923313.04%21576.19%09118050.56%11327640.94%5814041.43%18577232108228118
101688000004652-6716000001726-99720000029263164676122000141219569020415320664123131041926726.92%381268.42%119636953.12%21543249.77%11924049.58%312162343151306153
1340400000621-152020000036-320200000315-12069151001411460554541196513797200.00%7185.71%15610354.37%5310251.96%357050.00%824693377437
141147000003032-26240000018171523000001215-38304878010911938501271081473541209034213323.08%311067.74%114526355.13%13526151.72%7913956.83%219113217112225104
Total Séries éliminatoires45172800000118151-3321516000005470-16241212000006481-17341181913091103435461480048441552817395705271239731419.18%1083072.22%353099653.21%554114948.22%32564950.08%87443146622464927461

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
1Jason Akeson114610501317537.55%1524622.43011501100050.00%00.8100
2Michael Bournival94595023163411.76%317919.93101200000050.00%01.0000
3Landon Ferraro114594232253013.33%1324822.62011310131054.08%00.7200
4Steve Bernier11347-303522466.52%822220.20112200000050.00%00.6300
5Tanner Richard1142611726102615.38%316214.76000000000050.00%00.7400

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
1Tomas Vokoun114700.9102.916612132354167100.0000
2Dov Grumet-Morris30110.9342.9614200710654010.0000
3Jeremy Smith20200.8547.2910720138948000.0000