Admirals
GP: 5 | W: 1 | L: 4
GF: 16 | GA: 24 | PP%: 44.44% | PK%: 68.18%
DG: Yves Cardinal | Morale : 75 | Moyenne d’équipe : 61
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Centre de jeu
Stars
8-7-0, 16pts
8
FINAL
1 Admirals
1-4-0, 2pts
Team Stats
L4StreakOTL1
5-3-0Home Record1-1-0
3-4-0Away Record0-3-0
4-6-0Last 10 Games1-3-1
4.00Buts par match 3.20
3.93Buts contre par match 4.80
24.00%Pourcentage en avantage numérique44.44%
70.73%Pourcentage en désavantage numérique68.18%
Admirals
1-4-0, 2pts
4
FINAL
5 Stars
8-7-0, 16pts
Team Stats
OTL1StreakL4
1-1-0Home Record5-3-0
0-3-0Away Record3-4-0
1-3-1Last 10 Games4-6-0
3.20Buts par match 4.00
4.80Buts contre par match 3.93
44.44%Pourcentage en avantage numérique24.00%
68.18%Pourcentage en désavantage numérique70.73%
Meneurs d'équipe
Victoires
Henrik Tikkanen
1
Pourcentage d’arrêts
Henrik Tikkanen
0.886

Statistiques d’équipe
Buts pour
16
3.20 GFG
Tirs pour
131
26.20 Avg
Pourcentage en avantage numérique
44.4%
4 GF
Début de zone offensive
34.6%
Buts contre
24
4.80 GAA
Tirs contre
209
41.80 Avg
Pourcentage en désavantage numérique
68.2%
7 GA
Début de la zone défensive
46.5%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,868
Billets de saison300


Information formation

Équipe Pro23
Équipe Mineure19
Limite contact 42 / 80
Espoirs34


Historique d'équipe

Saison actuelle1-4
Historique40-33-9 (0.488%)
Apparitions séries éliminatoires 0
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
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$
6Patrick Giles (R)0X100.00784087568777865452555758566466075610241950,000$
7Bradley Marek0X100.00773995568673645451535860556466075600233999,999$
8Lucas Edmonds (R)0X100.00603695596970775755565958566365075600232950,000$
9Jacob Gaucher0X100.00713990588075705760555659546365075600233999,999$
10Jake Gaudet0X100.00724371578174725660545558566870075600281875,000$
11Greg Meireles0X100.00573690586670805754565553586567075590251875,000$
12Matthew Seminoff (R)0X100.00613794577071725652555354566163075580203950,000$
13Robert Hagg0X100.008440766282817661306660675271720756502932,955,000$
14Parker Wotherspoon (R)0X100.00695474657685786330665870506769075640274950,000$
15Tristan Luneau (R)0X100.00673785667686616430656360576162075630203950,000$
16Mac Hollowell (R)0X100.00633974646380766230675657496668075620262850,000$
17Artem Guryev0X100.00725651549167655530525358456163075580213999,999$
18Tyrel Bauer (R)0X100.00764660538564795230545356456264075580222950,000$
Rayé
1Colin Theisen0X100.00633793617280715963605857616769075610271850,000$
2Brandt Clarke (R)0X100.00684074678083746630686062536364075640212950,000$
3Jacob Murray0X100.00744087538360625230515055456264075570223985,000$
MOYENNE D’ÉQUIPE100.0071447960787673594859586055656607561
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
1Mac HollowellAdmirals (NSH)D53250207871442.86%711022.0011235000016000.00%000000.9100000100
2Tristan LuneauAdmirals (NSH)D5055-4204810430.00%1012324.6702212000012000.00%000000.8100000000
3Jonah GadjovichAdmirals (NSH)LW52240601921111318.18%110320.7410115000090055.56%900000.7700000001
4Chris WagnerAdmirals (NSH)C/LW/RW5224000626215149.52%212324.79101350000220052.50%20000000.6500000001
5Jake GaudetAdmirals (NSH)C513422099104310.00%17815.6400000000001051.69%8900001.0200000010
6Patrick GilesAdmirals (NSH)RW51342207972714.29%28817.6601105000040050.00%800000.9100000000
7Tyrel BauerAdmirals (NSH)D512308015760116.67%108817.6601124000014000.00%000000.6800000000
8Colin TheisenAdmirals (NSH)LW32132002550440.00%14214.260000000000000.00%000001.4000000000
9Brandt ClarkeAdmirals (NSH)D21121004330233.33%13115.521011100002000.00%000001.2900000000
10Bradley MarekAdmirals (NSH)LW52020003344550.00%09719.4900000000000037.50%800000.4100000000
11Joakim KemellAdmirals (NSH)RW31121000350420.00%0299.7500000000000050.00%200001.3700000000
12Lucas EdmondsAdmirals (NSH)RW5011-200034330.00%37515.0500004000000050.00%1000000.2700000000
13Robert HaggAdmirals (NSH)D5011-41602386010.00%1012525.1401114000012000.00%000000.1600000000
14Reese JohnsonAdmirals (NSH)RW5011-7207383110.00%09619.3400004000090050.00%1200000.2100000000
15Parker WotherspoonAdmirals (NSH)D3011-220463120.00%45317.860000000000000.00%000000.3700000000
16Artem GuryevAdmirals (NSH)D5000120301000.00%2122.440001000007000.00%000000.0000000000
17Jacob MurrayAdmirals (NSH)D2000000000000.00%000.470000000000000.00%000000.0000000000
18Joe CarrollAdmirals (NSH)LW5000-7209511160.00%210821.67000140000210050.00%1600000.0000000000
19Matthew SeminoffAdmirals (NSH)RW5000000000110.00%071.4300000000000033.33%300000.0000000000
20Greg MeirelesAdmirals (NSH)RW5000-8001109210.00%18617.3700000000000043.20%12500000.0000000000
Statistiques d’équipe totales ou en moyenne88162642-25460123118131328512.21%57148316.854610145000001351049.38%48200000.5700000112
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)51310.8864.5626300201760200.000050000
2Mitchell GibsonAdmirals (NSH)10000.8796.0040004330000.000005000
Statistiques d’équipe totales ou en moyenne61310.8854.7530300242090200.000055000


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$999,999$0$0$No999,999$999,999$Lien
Bradley MarekAdmirals (NSH)LW232000-11-13No212 Lbs6 ft3NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien
Brandt ClarkeAdmirals (NSH)D212003-02-09Yes200 Lbs6 ft2NoNoNo2Pro & Farm950,000$950,000$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$1,154,000$1,154,000$0$NoLien / Lien NHL
Colin TheisenAdmirals (NSH)LW271997-04-24No187 Lbs6 ft0NoNoNo1Pro & Farm850,000$850,000$0$0$NoLien / Lien NHL
Greg MeirelesAdmirals (NSH)RW251999-01-01No180 Lbs5 ft10NoNoNo1Pro & Farm875,000$875,000$0$0$NoLien / Lien NHL
Henrik TikkanenAdmirals (NSH)G242000-09-28No222 Lbs6 ft8NoNoNo3Pro & Farm985,000$985,000$0$0$No985,000$985,000$Lien
Jacob GaucherAdmirals (NSH)C232001-03-09No185 Lbs6 ft3NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien
Jacob MurrayAdmirals (NSH)D222002-04-11No199 Lbs6 ft3NoNoNo3Pro & Farm985,000$985,000$0$0$No985,000$985,000$Lien
Jake GaudetAdmirals (NSH)C281996-06-18No201 Lbs6 ft2NoNoNo1Pro & Farm875,000$875,000$0$0$NoLien / Lien NHL
Joakim KemellAdmirals (NSH)RW202004-04-27Yes182 Lbs5 ft11NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Joe CarrollAdmirals (NSH)LW232001-02-01No203 Lbs6 ft2NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien
Jonah GadjovichAdmirals (NSH)LW251998-10-12Yes209 Lbs6 ft2NoNoNo2Pro & Farm850,000$850,000$0$0$No850,000$Lien / Lien NHL
Lucas EdmondsAdmirals (NSH)RW232001-01-27Yes185 Lbs5 ft11NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Mac HollowellAdmirals (NSH)D261998-09-26Yes170 Lbs5 ft9NoNoNo2Pro & Farm850,000$850,000$0$0$No850,000$Lien / Lien NHL
Matthew SeminoffAdmirals (NSH)RW202003-12-27Yes188 Lbs5 ft11NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$
Mitchell GibsonAdmirals (NSH)G251999-06-25Yes188 Lbs6 ft1NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$
Parker WotherspoonAdmirals (NSH)D271997-08-24Yes195 Lbs6 ft1NoNoNo4Pro & Farm950,000$950,000$0$0$No1,502,000$1,502,000$1,502,000$Lien / Lien NHL
Patrick GilesAdmirals (NSH)RW242000-01-03Yes203 Lbs6 ft4NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Reese JohnsonAdmirals (NSH)RW261998-07-10Yes193 Lbs6 ft1NoNoNo1Pro & Farm812,600$812,600$0$0$NoLien / Lien NHL
Robert Hagg (contrat à 1 volet)Admirals (NSH)D291995-02-08No210 Lbs6 ft2NoNoNo3Pro & Farm2,955,000$2,955,000$2,955,000$0$No2,955,000$2,955,000$Lien / Lien NHL
Tristan LuneauAdmirals (NSH)D202004-01-12Yes195 Lbs6 ft1NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$
Tyrel BauerAdmirals (NSH)D222002-03-23Yes206 Lbs6 ft3NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2324.22197 Lbs6 ft12.261,032,243$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonah GadjovichChris WagnerBradley Marek40122
2Joe CarrollGreg MeirelesReese Johnson30122
3Joakim KemellJake GaudetPatrick Giles20122
4Bradley MarekChris WagnerLucas Edmonds10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Robert HaggTristan Luneau40122
2Parker WotherspoonMac Hollowell30122
3Tyrel BauerLucas Edmonds20122
4Robert HaggTristan Luneau10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonah GadjovichChris WagnerPatrick Giles60122
2Joe CarrollLucas EdmondsReese Johnson40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Robert HaggTyrel Bauer60122
2Tristan LuneauMac Hollowell40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Chris WagnerJoe Carroll60122
2Reese JohnsonJonah Gadjovich40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Robert HaggTyrel Bauer60122
2Tristan LuneauMac Hollowell40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Chris Wagner60122Robert HaggTyrel Bauer60122
2Reese Johnson40122Parker WotherspoonMac Hollowell40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Chris WagnerGreg Meireles60122
2Reese JohnsonJonah Gadjovich40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Robert HaggTristan Luneau60122
2Tyrel BauerMac Hollowell40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jonah GadjovichChris WagnerReese JohnsonRobert HaggParker Wotherspoon
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jonah GadjovichChris WagnerReese JohnsonRobert HaggParker Wotherspoon
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Greg Meireles, Matthew Seminoff, Patrick GilesGreg Meireles, Matthew SeminoffPatrick Giles
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyrel Bauer, Robert Hagg, Mac HollowellTyrel BauerRobert Hagg, Mac Hollowell
Tirs de pénalité
Chris Wagner, Patrick Giles, Reese Johnson, Jonah Gadjovich, Joe Carroll
Gardien
#1 : Henrik Tikkanen, #2 : Mitchell Gibson
Lignes d’attaque personnalisées en prolongation
Chris Wagner, Bradley Marek, Reese Johnson, Jonah Gadjovich, Joe Carroll, Patrick Giles, Patrick Giles, Matthew Seminoff, Greg Meireles, Lucas Edmonds, Jake Gaudet
Lignes de défense personnalisées en prolongation
Robert Hagg, Tristan Luneau, 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
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
1Stars514000001624-821100000610-4303000001014-420.200162642007540131384051220957461239444.44%22768.18%08916753.29%10422446.43%459149.45%10772133386330
Total514000001624-821100000610-4303000001014-420.200162642007540131384051220957461239444.44%22768.18%08916753.29%10422446.43%459149.45%10772133386330
_Since Last GM Reset514000001624-821100000610-4303000001014-420.200162642007540131384051220957461239444.44%22768.18%08916753.29%10422446.43%459149.45%10772133386330
_Vs Conference514000001624-821100000610-4303000001014-420.200162642007540131384051220957461239444.44%22768.18%08916753.29%10422446.43%459149.45%10772133386330
_Vs Division514000001624-821100000610-4303000001014-420.200162642007540131384051220957461239444.44%22768.18%08916753.29%10422446.43%459149.45%10772133386330

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52OTL1162642131209574612300
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51400001624
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2110000610
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
30300001014
Derniers 10 matchs
WLOTWOTL SOWSOL
130100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
9444.44%22768.18%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
38405127540
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
8916753.29%10422446.43%459149.45%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10772133386330


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
2 - 2025-04-255Admirals2Stars3ALSommaire du match
4 - 2025-04-2713Admirals4Stars6ALSommaire du match
6 - 2025-04-2921Stars2Admirals5BWSommaire du match
8 - 2025-05-0129Stars8Admirals1BLSommaire du match
10 - 2025-05-0337Admirals4Stars5ALXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3020
Assistance4,0001,735
Assistance PCT100.00%86.75%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
8 2868 - 95.58% 96,688$193,375$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,963,260$ 1,963,260$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 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
1Chris Wagner76314071-16716922527611.23%18166921.96310133700035245.75%00.8514
2Brandt Clarke72144559-4369511713410.45%114155521.6151116660002010.00%00.7600
3Joakim Kemell662730572241511822212.16%15143221.7155102200095144.63%10.8002
4Robert Hagg68104757-13822421151317.63%120160423.5981119660000110.00%00.7100
5Jonah Gadjovich8223325581092708922710.13%13163219.91310133001116241.83%00.6701

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
2Mitchell 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
Total Saison régulière82333306613283300-1741201500411143145-241131806202140155-15892835127954010390839266785195683339296384472321302415824.07%3096977.67%21399289448.34%1473308447.76%624135146.19%1915129919806061066528
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