Admirals
GP: 38 | W: 17 | L: 17 | OTL: 4 | P: 38
GF: 133 | GA: 143 | PP%: 23.96% | PK%: 77.03%
DG: Yves Cardinal | Morale : 75 | Moyenne d’équipe : 61
Prochain matchs #619 vs Comets
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Centre de jeu
Admirals
17-17-4, 38pts
3
FINAL
7 Moose
17-19-4, 38pts
Team Stats
L2StreakL1
9-6-3Home Record6-10-3
8-11-1Away Record11-9-1
4-5-1Last 10 Games5-3-2
3.50Buts par match 3.58
3.76Buts contre par match 3.78
23.96%Pourcentage en avantage numérique25.19%
77.03%Pourcentage en désavantage numérique77.69%
Admirals
17-17-4, 38pts
3
FINAL
4 Wild
21-14-4, 46pts
Team Stats
L2StreakW2
9-6-3Home Record9-9-1
8-11-1Away Record12-5-3
4-5-1Last 10 Games4-6-0
3.50Buts par match 3.82
3.76Buts contre par match 3.33
23.96%Pourcentage en avantage numérique21.54%
77.03%Pourcentage en désavantage numérique82.86%
Admirals
17-17-4, 38pts
2025-01-03
Comets
26-9-2, 54pts
Statistiques d’équipe
L2SéquenceL2
9-6-3Fiche domicile14-5-1
8-11-1Fiche visiteur12-4-1
4-5-110 derniers matchs5-5-0
3.50Buts par match 3.78
3.76Buts contre par match 2.92
23.96%Pourcentage en avantage numérique19.23%
77.03%Pourcentage en désavantage numérique80.00%
Admirals
17-17-4, 38pts
2025-01-04
Wranglers
15-18-5, 35pts
Statistiques d’équipe
L2SéquenceSOL1
9-6-3Fiche domicile9-11-1
8-11-1Fiche visiteur6-7-4
4-5-110 derniers matchs6-3-1
3.50Buts par match 2.95
3.76Buts contre par match 3.16
23.96%Pourcentage en avantage numérique15.79%
77.03%Pourcentage en désavantage numérique78.13%
Admirals
17-17-4, 38pts
2025-01-07
Moose
17-19-4, 38pts
Statistiques d’équipe
L2SéquenceL1
9-6-3Fiche domicile6-10-3
8-11-1Fiche visiteur11-9-1
4-5-110 derniers matchs5-3-2
3.50Buts par match 3.58
3.76Buts contre par match 3.78
23.96%Pourcentage en avantage numérique25.19%
77.03%Pourcentage en désavantage numérique77.69%
Meneurs d'équipe
Reese JohnsonButs
Reese Johnson
7
Reese JohnsonPasses
Reese Johnson
6
Reese JohnsonPoints
Reese Johnson
13
Reese JohnsonPlus/Moins
Reese Johnson
2
Victoires
Henrik Tikkanen
13
Pourcentage d’arrêts
Mitchell Gibson
0.901

Statistiques d’équipe
Buts pour
133
3.50 GFG
Tirs pour
1205
31.71 Avg
Pourcentage en avantage numérique
24.0%
23 GF
Début de zone offensive
38.8%
Buts contre
143
3.76 GAA
Tirs contre
1356
35.68 Avg
Pourcentage en désavantage numérique
77.0%
34 GA
Début de la zone défensive
42.0%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,801
Billets de saison300


Information formation

Équipe Pro23
Équipe Mineure19
Limite contact 42 / 80
Espoirs34


Historique d'équipe

Saison actuelle17-17-4 (38PTS)
Historique1039-1004-225 (0.458%)
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 SPÂgeContratSalaire moyen
1Chris Wagner0XXX100.007840716473807862615963655875760756403311,154,000$
2Raphael Lavoie (R)0X100.00784274618988856266586365626466075640242775,000$
3Joakim Kemell (R)0X100.00603789656988746366646260656162075630202950,000$
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$
17Tristan Luneau (R)0X100.00673785667686616430656360576162075630203950,000$
18Mac Hollowell (R)0X100.00633974646380766230675657496668075620262850,000$
19Tyrel Bauer (R)0X100.00764660538564795230545356456264075580222950,000$
Rayé
1Artem Guryev0X100.00725651549167655530525358456163075580213999,999$
2Jacob Murray0X100.00744087538360625230515055456264075570223985,000$
MOYENNE D’ÉQUIPE100.0070437960787674594759585955656607561
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
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’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
1Raphael LavoieAdmirals (NSH)C362121421828076115128349016.41%1879922.2144819740001753051.71%108100011.0500000612
2Jonah GadjovichAdmirals (NSH)LW38122133947512636118287810.17%873519.3614512760111412136.49%7400000.9000010323
3Mac HollowellAdmirals (NSH)D3842933012059485516317.27%4780521.20291121731013109010.00%000000.8200000112
4Joakim KemellAdmirals (NSH)RW3317153214001072107238115.89%766920.283367580005913043.78%23300010.9600000323
5Brandt ClarkeAdmirals (NSH)D3252227-2120415844123611.36%5067921.231341945000083000.00%000000.7900000301
6Chris WagnerAdmirals (NSH)C/LW/RW32131427-12407772110348811.82%761519.241348380001603047.65%34000000.8800000132
7Tristan LuneauAdmirals (NSH)D3842327-422062565316417.55%6287923.1625719750111115000.00%000000.6100000010
8Colin TheisenAdmirals (NSH)LW3810818140404080294612.50%662616.480002210001562050.00%17800000.5700000012
9Joe CarrollAdmirals (NSH)LW3851116-98055307318606.85%565417.221236490002500240.26%7700000.4900000001
10Robert HaggAdmirals (NSH)D2841216-11320100514716308.51%4163922.852022357000073010.00%000000.5000000010
11Patrick GilesAdmirals (NSH)RW3810616-10180412893195410.75%367317.7120214620000181043.75%6400100.4800000002
12Parker WotherspoonAdmirals (NSH)D2721315827554363010236.67%3444816.601231131000037100.00%000000.6700010031
13Jake GaudetAdmirals (NSH)C3521214719540494018285.00%536010.3100014000010043.90%45100000.7800001010
14Jacob GaucherAdmirals (NSH)C3731013-88038736022515.00%959516.090007520001351048.08%70300000.4400000000
15Reese JohnsonPredatorsRW117613220252045112215.56%420818.971239240001161050.00%1600001.2500000311
16Lucas EdmondsAdmirals (NSH)RW388412-56018265793314.04%644611.7401102000000047.06%3400000.5400000010
17Artem GuryevAdmirals (NSH)D26426129569192041120.00%2639315.140002300005000.00%000000.3000010010
18Tyrel BauerAdmirals (NSH)D3315643557419247124.17%3952816.00112727000037000.00%000000.2300001000
19Jacob MurrayAdmirals (NSH)D17033620214260.00%111498.7900012000010000.00%000000.4000000000
20Bradley MarekAdmirals (NSH)LW36101-72011991611.11%21153.20101170000150139.47%3800000.1700000000
21Matthew SeminoffAdmirals (NSH)RW32011-100294160.00%1782.4400002000050042.86%4200000.2600000000
22Greg MeirelesAdmirals (NSH)RW28000-300064220.00%0652.3300000000000066.67%300000.0000000000
Statistiques d’équipe totales ou en moyenne7091332383719337251020873120533283511.04%3911116715.752339621897921231794117647.78%333400120.6600032201920
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
1Henrik TikkanenAdmirals (NSH)2713910.8933.82142900918470400.00002414110
2Mitchell GibsonAdmirals (NSH)184830.9013.5085700505070120.00001424111
Statistiques d’équipe totales ou en moyenne45171740.8963.7022870014113540520.00003838221


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
Artem GuryevAdmirals (NSH)D212003-05-17No225 Lbs6 ft4NoNoNo3Pro & Farm999,999$535,714$999,999$535,714$0$0$No999,999$999,999$Lien
Bradley MarekAdmirals (NSH)LW232000-11-13No212 Lbs6 ft3NoNoNo3Pro & Farm999,999$535,714$999,999$535,714$0$0$No999,999$999,999$Lien
Brandt ClarkeAdmirals (NSH)D212003-02-09Yes200 Lbs6 ft2NoNoNo2Pro & Farm950,000$508,929$950,000$508,929$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$618,214$1,154,000$618,214$1,154,000$618,214$NoLien / Lien NHL
Colin TheisenAdmirals (NSH)LW271997-04-24No187 Lbs6 ft0NoNoNo1Pro & Farm850,000$455,357$850,000$455,357$0$0$NoLien / Lien NHL
Greg MeirelesAdmirals (NSH)RW251999-01-01No180 Lbs5 ft10NoNoNo1Pro & Farm875,000$468,750$875,000$468,750$0$0$NoLien / Lien NHL
Henrik TikkanenAdmirals (NSH)G242000-09-28No222 Lbs6 ft8NoNoNo3Pro & Farm985,000$527,679$985,000$527,679$0$0$No985,000$985,000$Lien
Jacob GaucherAdmirals (NSH)C232001-03-09No185 Lbs6 ft3NoNoNo3Pro & Farm999,999$535,714$999,999$535,714$0$0$No999,999$999,999$Lien
Jacob MurrayAdmirals (NSH)D222002-04-11No199 Lbs6 ft3NoNoNo3Pro & Farm985,000$527,679$985,000$527,679$0$0$No985,000$985,000$Lien
Jake GaudetAdmirals (NSH)C281996-06-18No201 Lbs6 ft2NoNoNo1Pro & Farm875,000$468,750$875,000$468,750$0$0$NoLien / Lien NHL
Joakim KemellAdmirals (NSH)RW202004-04-27Yes182 Lbs5 ft11NoNoNo2Pro & Farm950,000$508,929$950,000$508,929$0$0$No950,000$Lien / Lien NHL
Joe CarrollAdmirals (NSH)LW232001-02-01No203 Lbs6 ft2NoNoNo3Pro & Farm999,999$535,714$999,999$535,714$0$0$No999,999$999,999$Lien
Jonah GadjovichAdmirals (NSH)LW251998-10-12Yes209 Lbs6 ft2NoNoNo2Pro & Farm850,000$455,357$850,000$455,357$0$0$No850,000$Lien / Lien NHL
Lucas EdmondsAdmirals (NSH)RW232001-01-27Yes185 Lbs5 ft11NoNoNo2Pro & Farm950,000$508,929$950,000$508,929$0$0$No950,000$Lien / Lien NHL
Mac HollowellAdmirals (NSH)D261998-09-26Yes170 Lbs5 ft9NoNoNo2Pro & Farm850,000$455,357$850,000$455,357$0$0$No850,000$Lien / Lien NHL
Matthew SeminoffAdmirals (NSH)RW202003-12-27Yes188 Lbs5 ft11NoNoNo3Pro & Farm950,000$508,929$950,000$508,929$0$0$No950,000$950,000$
Mitchell GibsonAdmirals (NSH)G251999-06-25Yes188 Lbs6 ft1NoNoNo3Pro & Farm950,000$508,929$950,000$508,929$0$0$No950,000$950,000$
Parker WotherspoonAdmirals (NSH)D271997-08-24Yes195 Lbs6 ft1NoNoNo1Pro & Farm950,000$508,929$950,000$508,929$0$0$NoLien / Lien NHL
Patrick GilesAdmirals (NSH)RW242000-01-03Yes203 Lbs6 ft4NoNoNo1Pro & Farm950,000$508,929$950,000$508,929$0$0$NoLien / Lien NHL
Raphael LavoieAdmirals (NSH)C242000-09-25Yes215 Lbs6 ft4NoNoNo2Pro & Farm775,000$415,179$775,000$415,179$0$0$No775,000$Lien / Lien NHL
Robert Hagg (contrat à 1 volet)Admirals (NSH)D291995-02-08No210 Lbs6 ft2NoNoNo3Pro & Farm2,955,000$1,583,036$2,955,000$1,583,036$2,955,000$1,583,036$No2,955,000$2,955,000$Lien / Lien NHL
Tristan LuneauAdmirals (NSH)D202004-01-12Yes195 Lbs6 ft1NoNoNo3Pro & Farm950,000$508,929$950,000$508,929$0$0$No950,000$950,000$
Tyrel BauerAdmirals (NSH)D222002-03-23Yes206 Lbs6 ft3NoNoNo2Pro & Farm950,000$508,929$950,000$508,929$0$0$No950,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2324.13198 Lbs6 ft22.171,030,609$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonah GadjovichRaphael LavoieJoakim Kemell40122
2Joe CarrollChris WagnerPatrick Giles30122
3Colin TheisenJacob GaucherLucas Edmonds20122
4Jonah GadjovichJoakim KemellGreg Meireles10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Robert HaggBrandt Clarke40122
2Tristan LuneauMac Hollowell30122
3Parker WotherspoonTyrel Bauer20122
4Robert HaggBrandt Clarke10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonah GadjovichRaphael LavoieJoakim Kemell60122
2Joe CarrollJacob GaucherPatrick Giles40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Robert HaggBrandt Clarke60122
2Tristan LuneauMac Hollowell40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Colin TheisenJoakim Kemell60122
2Jonah GadjovichJoe Carroll40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Robert HaggBrandt Clarke60122
2Tristan LuneauMac Hollowell40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jonah Gadjovich60122Robert HaggBrandt Clarke60122
2Joakim Kemell40122Tristan LuneauMac Hollowell40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Patrick GilesJoakim Kemell60122
2Jonah GadjovichJoe Carroll40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Robert HaggBrandt Clarke60122
2Tristan LuneauMac Hollowell40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jonah GadjovichRaphael LavoieJoakim KemellRobert HaggBrandt Clarke
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jonah GadjovichRaphael LavoieJoakim KemellRobert HaggBrandt Clarke
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joakim Kemell, Colin Theisen, Jacob GaucherJoakim Kemell, Colin TheisenJacob Gaucher
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Robert Hagg, Brandt Clarke, Tristan LuneauRobert HaggBrandt Clarke, Tristan Luneau
Tirs de pénalité
Raphael Lavoie, Joakim Kemell, Jonah Gadjovich, Joe Carroll, Patrick Giles
Gardien
#1 : Henrik Tikkanen, #2 : Mitchell Gibson
Lignes d’attaque personnalisées en prolongation
Raphael Lavoie, Joakim Kemell, Jonah Gadjovich, Joe Carroll, Patrick Giles, Colin Theisen, Colin Theisen, Chris Wagner, Jacob Gaucher, Lucas Edmonds, Greg Meireles
Lignes de défense personnalisées en prolongation
Robert Hagg, Brandt Clarke, Tristan Luneau, Mac Hollowell, Parker Wotherspoon


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
1Bears1010000035-2000000000001010000035-200.0003580046473914637242740245010228100.00%110.00%0610128747.40%681139448.85%30264047.19%878597917280494245
2Bruins11000000642110000006420000000000021.000612180046473912937242740243384254250.00%2150.00%0610128747.40%681139448.85%30264047.19%878597917280494245
3Checkers11000000211000000000001100000021121.0002460046473911437242740242861017200.00%40100.00%0610128747.40%681139448.85%30264047.19%878597917280494245
4Comets1010000046-2000000000001010000046-200.0004711004647391253724274024471318235120.00%3166.67%0610128747.40%681139448.85%30264047.19%878597917280494245
5Condors321000001091220000009451010000015-440.66710203000464739182372427402410331268111100.00%13192.31%0610128747.40%681139448.85%30264047.19%878597917280494245
6Crunch210001006511000010034-11100000031230.7506121800464739161372427402475181648500.00%7185.71%0610128747.40%681139448.85%30264047.19%878597917280494245
7Devils11000000633000000000001100000063321.00069150046473913937242740243198343266.67%3166.67%0610128747.40%681139448.85%30264047.19%878597917280494245
8Eagles30300000615-91010000015-420200000510-500.0006814004647391119372427402410843268411218.18%13284.62%0610128747.40%681139448.85%30264047.19%878597917280494245
9Firebirds21100000660110000004221010000024-220.50061117104647391633724274024581710485120.00%5180.00%0610128747.40%681139448.85%30264047.19%878597917280494245
10Griffins211000001073110000005141010000056-120.500101727004647391673724274024611824515120.00%12466.67%0610128747.40%681139448.85%30264047.19%878597917280494245
11IceHogs11000000514000000000001100000051421.0005813004647391453724274024301010295120.00%40100.00%0610128747.40%681139448.85%30264047.19%878597917280494245
12Marlies11000000532000000000001100000053221.0005101500464739135372427402432120253133.33%000.00%0610128747.40%681139448.85%30264047.19%878597917280494245
13Monsters1000010045-11000010045-10000000000010.5004711004647391423724274024431012304125.00%5180.00%0610128747.40%681139448.85%30264047.19%878597917280494245
14Moose20200000514-91010000027-51010000037-400.0005813004647391573724274024792021515120.00%8537.50%0610128747.40%681139448.85%30264047.19%878597917280494245
15Penguins1010000015-41010000015-40000000000000.0001230046473911637242740244761623000.00%7271.43%0610128747.40%681139448.85%30264047.19%878597917280494245
16Phantoms11000000211110000002110000000000021.0002460046473913137242740244181436200.00%70100.00%0610128747.40%681139448.85%30264047.19%878597917280494245
17Reign21100000660211000006600000000000020.50061117104647391613724274024721610607114.29%50100.00%0610128747.40%681139448.85%30264047.19%878597917280494245
18Roadrunners1010000034-11010000034-10000000000000.0003690046473913437242740242788273133.33%4175.00%0610128747.40%681139448.85%30264047.19%878597917280494245
19Rocket11000000633000000000001100000063321.00061016004647391323724274024321517205240.00%6266.67%0610128747.40%681139448.85%30264047.19%878597917280494245
20Senators1010000014-3000000000001010000014-300.0001120046473912737242740243171842500.00%9366.67%0610128747.40%681139448.85%30264047.19%878597917280494245
21Stars21001000972110000003211000100065141.00091726004647391713724274024722512455240.00%6266.67%0610128747.40%681139448.85%30264047.19%878597917280494245
22Thunderbirds11000000541000000000001100000054121.00059140046473913837242740243057314125.00%10100.00%0610128747.40%681139448.85%30264047.19%878597917280494245
23Wild20200000810-20000000000020200000810-200.000814220046473916137242740247534245211100.00%11372.73%1610128747.40%681139448.85%30264047.19%878597917280494245
24Wolf Pack1000010045-11000010045-10000000000010.500471100464739132372427402434810212150.00%5180.00%0610128747.40%681139448.85%30264047.19%878597917280494245
25Wolves11000000624110000006240000000000021.000611170046473912937242740243811428300.00%20100.00%0610128747.40%681139448.85%30264047.19%878597917280494245
26Wranglers2010010048-41010000014-31000010034-110.250481200464739149372427402479231061000.00%5180.00%0610128747.40%681139448.85%30264047.19%878597917280494245
Total38161701400133143-101896003006061-120711011007382-9380.5001332383712046473911205372427402413563913371020962323.96%1483477.03%1610128747.40%681139448.85%30264047.19%878597917280494245
_Since Last GM Reset38161701400133143-101896003006061-120711011007382-9380.5001332383712046473911205372427402413563913371020962323.96%1483477.03%1610128747.40%681139448.85%30264047.19%878597917280494245
_Vs Conference22713011007190-191055000002934-51228011004256-14170.386711271982046473917053724274024780245182592521325.00%781778.21%1610128747.40%681139448.85%30264047.19%878597917280494245
_Vs Division1238010004155-1441300000918-9825010003237-580.3334170111004647391425372427402442114510831934926.47%471372.34%1610128747.40%681139448.85%30264047.19%878597917280494245

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3838L213323837112051356391337102020
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3816171400133143
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
189603006061
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2071111007382
Derniers 10 matchs
WLOTWOTL SOWSOL
450100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
962323.96%1483477.03%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
37242740244647391
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
610128747.40%681139448.85%30264047.19%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
878597917280494245


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
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 - 2025-01-03619Admirals-Comets-
93 - 2025-01-04627Admirals-Wranglers-
96 - 2025-01-07647Admirals-Moose-
100 - 2025-01-11679Bears-Admirals-
103 - 2025-01-14701Silver Knights-Admirals-
105 - 2025-01-16714IceHogs-Admirals-
107 - 2025-01-18733Wild-Admirals-
110 - 2025-01-21752Barracuda-Admirals-
112 - 2025-01-23771Admirals-Barracuda-
114 - 2025-01-25787Admirals-Gulls-
118 - 2025-01-29810Comets-Admirals-
120 - 2025-01-31822Admirals-Americans-
121 - 2025-02-01830Admirals-Penguins-
123 - 2025-02-03844Senators-Admirals-
127 - 2025-02-07873Admirals-IceHogs-
128 - 2025-02-08885Americans-Admirals-
142 - 2025-02-22898Eagles-Admirals-
143 - 2025-02-23911Devils-Admirals-
145 - 2025-02-25927Checkers-Admirals-
147 - 2025-02-27941Moose-Admirals-
149 - 2025-03-01949Admirals-Sound Tigers-
150 - 2025-03-02965Admirals-Wolf Pack-
152 - 2025-03-04973Admirals-Bruins-
154 - 2025-03-06993Firebirds-Admirals-
156 - 2025-03-081009IceHogs-Admirals-
159 - 2025-03-111035Admirals-Barracuda-
162 - 2025-03-141053Admirals-Gulls-
163 - 2025-03-151064Admirals-Reign-
166 - 2025-03-181082Thunderbirds-Admirals-
168 - 2025-03-201096Gulls-Admirals-
170 - 2025-03-221114Marlies-Admirals-
171 - 2025-03-231121Admirals-Thunderbirds-
173 - 2025-03-251132Admirals-Wolves-
175 - 2025-03-271147Thunderbirds-Admirals-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
177 - 2025-03-291163Silver Knights-Admirals-
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
Assistance35,59014,823
Assistance PCT98.86%82.35%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-8 2801 - 93.36% 93,515$1,683,271$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,597,906$ 1,959,500$ 1,959,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 890,663$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-748,120$ 105 17,651$ 1,853,355$




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

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
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
202438161701400133143-101896003006061-120711011007382-9381332383712046473911205372427402413563913371020962323.96%1483477.03%1610128747.40%681139448.85%30264047.19%878597917280494245
Total Saison régulière22648161004011210811111369407496-556113142846906457555835863666-80113338853504851565533543830-47622996940117241866458100385198223562025705433426217432443320307751752405722273562645768133923.21%6778161576.17%138286705783749.57%297116123348.52%168353433049.04%465882598854210236524147320423
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