Connexion

Admirals
GP: 5 | W: 1 | L: 4
GF: 6 | GA: 19 | PP%: 27.27% | PK%: 75.00%
DG: Andrew Welch | Morale : 26 | Moyenne d’équipe : 59
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Centre de jeu
Thunderbirds
4-5-0, 8pts
5
FINAL
0 Admirals
1-4-0, 2pts
Team Stats
L4SéquenceL2
3-2-0Fiche domicile1-1-0
1-3-0Fiche domicile0-3-0
4-5-0Derniers 10 matchs1-4-0
3.44Buts par match 1.20
2.67Buts contre par match 3.80
16.13%Pourcentage en avantage numérique27.27%
66.67%Pourcentage en désavantage numérique75.00%
Admirals
1-4-0, 2pts
2
FINAL
6 Thunderbirds
4-5-0, 8pts
Team Stats
L2SéquenceL4
1-1-0Fiche domicile3-2-0
0-3-0Fiche domicile1-3-0
1-4-0Derniers 10 matchs4-5-0
1.20Buts par match 3.44
3.80Buts contre par match 2.67
27.27%Pourcentage en avantage numérique16.13%
75.00%Pourcentage en désavantage numérique66.67%
Meneurs d'équipe
Buts
Ben Meyers
2
Passes
Cole Koepke
2
Points
Ben Meyers
3
Plus/Moins
Bradley Marek
0

Statistiques d’équipe
Buts pour
6
1.20 GFG
Tirs pour
73
14.60 Avg
Pourcentage en avantage numérique
27.3%
3 GF
Début de zone offensive
29.6%
Buts contre
19
3.80 GAA
Tirs contre
191
38.20 Avg
Pourcentage en désavantage numérique
75.0%%
4 GA
Début de la zone défensive
48.9%
Informations de l'équipe

Directeur généralAndrew Welch
EntraîneurAustin Violette
DivisionDivision 4
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison1,500


Informations de la formation

Équipe Pro21
Équipe Mineure26
Limite contact 47 / 100
Espoirs115


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
1Cole KoepkeX100.0077719163717882655061676562494964756402731,142,000$
2Ben MeyersXX100.0080449270695679645762596525555660806202631,130,000$
3Austin PoganskiX100.007572776272778260505761605650495873610291841,000$
4Artyom Anisimov (R)X100.0079759066735557536648467044828553675903712,000,000$
5Ben JonesX100.0071688061686972607655616058474759735902612,000,000$
6Cameron WrightXX100.0074718266716162565047606059474759775702612,000,000$
7Tye FelhaberXXX100.0067676865675555577354585655474756765602621,045,000$
8Filip CederqvistXX100.007369886771656949504748574547475253550242875,002$
9Bradley MarekX100.0082799565815455495039556454464657475502412,000,000$
10Cam MorrisonX100.0081779362775658505046496348454556765502631,067,000$
11Matthew Seminoff (R)X100.007469946571667146504544584447475276540214750,000$
12Ville HeinolaX100.0069648273676365622553556151515055776102421,015,000$
13Dylan McIlrathX100.0079905363907380472535416339585851466103312,000,000$
14Ashton SautnerX100.0075728065727482502539446339595950796103112,000,000$
15Andy WelinskiX100.0077749165745861492539416340596052575903212,000,000$
16Colton WhiteX100.0074718665716368462535386137626250475802812,000,000$
17Blake HillmanX100.0075689765685861462535425939474750715602912,000,000$
18Cameron GaunceX100.0069717065715963462536405538474748765503512,000,000$
Rayé
1Ryan LombergX100.0089597076665496663256626525666861786403011,500,000$
MOYENNE D’ÉQUIPE100.00767083667263695444475161455353556959
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
1Jordan Papirny100.005947597064716369736630474758846302912,000,000$
2Adam Scheel100.00594759786465576367663044446169610261750,000$
Rayé
MOYENNE D’ÉQUIPE100.0059475974646860667066304646607762
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Austin Violette40404040404040TUR8011,000,000$


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
1Ben MeyersAdmirals (NAS)C/LW5213-520416222139.09%611923.8301138000071044.94%8942000.5000000010
2Ville HeinolaAdmirals (NAS)D5112-56031082212.50%1014028.1110116000012000%018000.2800000000
3Ben JonesAdmirals (NAS)C5112-46013911239.09%411623.28112190000100029.03%3123000.3400000000
4Cole KoepkeAdmirals (NAS)RW5022-5007139980%312925.97011170000130050.00%3633000.3100000000
5Dylan McIlrathAdmirals (NAS)D5011-3752113000%510821.68000000000100100.00%113000.1800100000
6Matthew SeminoffAdmirals (NAS)RW5101-40022102100.00%4469.340000000000000%101000.4300000000
7Blake HillmanAdmirals (NAS)D5101-5002832333.33%711723.461011600009000%003000.1700000000
8Austin PoganskiAdmirals (NAS)RW5011-51358942100%611523.1000007000020040.00%532000.1700010000
9Artyom AnisimovAdmirals (NAS)C5011-4753101230%310020.1701109000010066.67%311000.2000010000
10Ashton SautnerAdmirals (NAS)D5011-5556166030%512725.47011012000014000%004000.1600100000
11Cameron WrightAdmirals (NAS)LW/RW5011-54013124160%210821.64011210000000037.65%8511000.1800000000
12Tye FelhaberAdmirals (NAS)C/LW/RW5000-320420320%17114.3600001000070042.86%140100000000000
13Colton WhiteAdmirals (NAS)D5000-200270000%0367.240000000001000%40100000000000
14Andy WelinskiAdmirals (NAS)D5000-100110000%1153.100000000000000%00000000000000
15Filip CederqvistAdmirals (NAS)LW/RW5000-100350010%0377.450000000002000%10200000000000
16Bradley MarekAdmirals (NAS)LW5000000010000%051.110000000000000%00000000000000
17Cam MorrisonAdmirals (NAS)LW5000000000000%000.140000000000000%00000000000000
18Cameron GaunceAdmirals (NAS)D5000-300581100%37815.6800011200008000%00400000000000
Statistiques d’équipe totales ou en moyenne9061016-605220781407326568.22%60147516.4036910920000941040.74%2701639000.2200220010
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
1Jordan PapirnyAdmirals (NAS)51400.9053.70276001717984000050100
2Adam ScheelAdmirals (NAS)10000.8335.2223002125000005000
Statistiques d’équipe totales ou en moyenne61400.9013.8030000191918900055100


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam ScheelAdmirals (NAS)G261999-05-01USANo190 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Andy WelinskiAdmirals (NAS)D321993-04-27USANo201 Lbs6 ft1NoNoAssign ManuallyNoNo12024-10-17FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien / Lien NHL
Artyom AnisimovAdmirals (NAS)C371988-05-24RUSYes198 Lbs6 ft4NoNoAssign ManuallyNoNo12024-10-17FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Ashton SautnerAdmirals (NAS)D311994-05-27MANNo195 Lbs6 ft1NoNoAssign ManuallyNoNo12024-10-17FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Austin PoganskiAdmirals (NAS)RW291996-02-16USANo198 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm841,000$0$0$No---------------------------Lien / Lien NHL
Ben JonesAdmirals (NAS)C261999-02-26ONTNo187 Lbs6 ft0NoNoAssign ManuallyNoNo12024-10-17FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Ben MeyersAdmirals (NAS)C/LW261998-11-15USANo194 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm1,130,000$0$0$No1,130,000$1,130,000$-------1,130,000$1,130,000$-------NoNo-------Lien
Blake HillmanAdmirals (NAS)D291996-01-26USANo181 Lbs6 ft1NoNoAssign ManuallyNoNo12024-10-17FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Bradley MarekAdmirals (NAS)LW242000-11-13USANo212 Lbs6 ft3NoNoAssign ManuallyNoNo12024-10-17FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Cam MorrisonAdmirals (NAS)LW261998-08-27ONTNo209 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm1,067,000$0$0$No1,067,000$1,067,000$-------1,067,000$1,067,000$-------NoNo-------Lien
Cameron GaunceAdmirals (NAS)D351990-03-19ONTNo194 Lbs6 ft1NoNoAssign ManuallyNoNo12024-10-17FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien / Lien NHL
Cameron WrightAdmirals (NAS)LW/RW261998-08-11ONTNo194 Lbs6 ft1NoNoAssign ManuallyNoNo12024-10-17FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Cole KoepkeAdmirals (NAS)RW271998-05-17USANo194 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm1,142,000$0$0$No1,142,000$1,142,000$-------1,142,000$1,142,000$-------NoNo-------Lien
Colton WhiteAdmirals (NAS)D281997-05-03ONTNo190 Lbs6 ft1NoNoAssign ManuallyNoNo12024-10-17FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien / Lien NHL
Dylan McIlrathAdmirals (NAS)D331992-04-20MANNo231 Lbs6 ft5NoNoAssign ManuallyNoNo12024-10-17FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien / Lien NHL
Filip CederqvistAdmirals (NAS)LW/RW242000-08-23SWENo187 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm875,002$0$0$No875,002$--------875,002$--------No--------Lien
Jordan PapirnyAdmirals (NAS)G291996-04-10ABNo185 Lbs6 ft1NoNoAssign ManuallyNoNo12024-10-17FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Matthew SeminoffAdmirals (NAS)RW212003-12-27USAYes190 Lbs5 ft11NoNoN/ANoNo42025-05-01FalseFalsePro & Farm750,000$0$0$No1,041,000$1,041,000$1,041,000$------1,041,000$1,041,000$1,041,000$------NoNoNo------
Ryan LombergAdmirals (NAS)RW301994-12-09ONTNo187 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien / Lien NHL
Tye FelhaberAdmirals (NAS)C/LW/RW261998-08-05ONTNo185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,045,000$0$0$No1,045,000$--------1,045,000$--------No--------Lien
Ville HeinolaAdmirals (NAS)D242001-03-02FINNo178 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,015,000$0$0$No1,015,000$--------1,015,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2128.05194 Lbs6 ft11.571,529,286$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ben JonesCameron WrightCole Koepke40122
2Artyom AnisimovBen MeyersAustin Poganski30122
3Austin PoganskiBen MeyersCole Koepke20122
4Ben MeyersCole KoepkeCameron Wright10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ashton SautnerVille Heinola40122
2Dylan McIlrathBlake Hillman30122
3Ville HeinolaCameron Gaunce20122
4Ville HeinolaAshton Sautner10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ben JonesCameron WrightArtyom Anisimov60122
2Ben MeyersCole KoepkeAustin Poganski40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ashton SautnerCameron Gaunce60122
2Ville HeinolaBlake Hillman40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ben JonesCole Koepke60122
2Austin PoganskiBen Meyers40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ashton SautnerVille Heinola60122
2Blake HillmanCameron Gaunce40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cole Koepke60122Ashton SautnerVille Heinola60122
2Ben Meyers40122Blake HillmanCameron Gaunce40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ben MeyersCole Koepke60122
2Artyom AnisimovAustin Poganski40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Blake HillmanAshton Sautner60122
2Cameron GaunceVille Heinola40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Austin PoganskiBen MeyersCole KoepkeAshton SautnerDylan McIlrath
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Austin PoganskiBen MeyersCole KoepkeAshton SautnerDylan McIlrath
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cole Koepke, Austin Poganski, Ben MeyersAustin Poganski, Cole KoepkeCole Koepke
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Blake Hillman, Ashton Sautner, Ville HeinolaAshton SautnerBlake Hillman, Ashton Sautner
Tirs de pénalité
Artyom Anisimov, Ben Jones, Cole Koepke, Ben Meyers, Austin Poganski
Gardien
#1 : Jordan Papirny, #2 : Adam Scheel


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
1Thunderbirds51400000619-132110000037-430300000312-920.2006101600204073212032019160527811327.27%16475.00%0288035.00%5713243.18%255843.10%71241225110553
Total51400000619-132110000037-430300000312-920.2006101600204073212032019160527811327.27%16475.00%0288035.00%5713243.18%255843.10%71241225110553
_Since Last GM Reset51400000619-132110000037-430300000312-920.2006101600204073212032019160527811327.27%16475.00%0288035.00%5713243.18%255843.10%71241225110553
_Vs Conference51400000619-132110000037-430300000312-920.2006101600204073212032019160527811327.27%16475.00%0288035.00%5713243.18%255843.10%71241225110553

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52L2610167319160527800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5140000619
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000037
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3030000312
Derniers 10 matchs
WLOTWOTL SOWSOL
140000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
11327.27%16475.00%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
21203202040
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
288035.00%5713243.18%255843.10%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
71241225110553


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
27Admirals1Thunderbirds3LSommaire du match
415Admirals0Thunderbirds3LSommaire du match
623Thunderbirds2Admirals3WSommaire du match
831Thunderbirds5Admirals0LSommaire du match
1039Admirals2Thunderbirds6LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets304
Assistance4,0002,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
44 3000 - 100.00% 95,360$190,720$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,211,500$ 3,211,500$ 1,000,000$0$
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 des joueurs (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

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

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

Admirals Leaders statistiques des joueurs (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

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