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Connexion

Admirals
GP: 82 | W: 29 | L: 49 | OTL: 4 | P: 62
GF: 224 | GA: 306 | PP%: 15.96% | PK%: 83.96%
DG: Tyler | Morale : 50 | Moyenne d’équipe : 57

Centre de jeu
Admirals
29-49-4, 62pts
1
FINAL
4 Silver Knights
62-17-3, 127pts
Team Stats
W1SéquenceW1
16-25-0Fiche domicile33-8-0
13-24-4Fiche domicile29-9-3
3-7-0Derniers 10 matchs8-2-0
2.73Buts par match 4.40
3.73Buts contre par match 1.78
15.96%Pourcentage en avantage numérique19.95%
83.96%Pourcentage en désavantage numérique88.70%
Stars
30-46-6, 66pts
4
FINAL
6 Admirals
29-49-4, 62pts
Team Stats
L1SéquenceW1
14-23-4Fiche domicile16-25-0
16-23-2Fiche domicile13-24-4
4-6-0Derniers 10 matchs3-7-0
4.30Buts par match 2.73
4.89Buts contre par match 3.73
15.29%Pourcentage en avantage numérique15.96%
73.48%Pourcentage en désavantage numérique83.96%
Meneurs d'équipe
Buts
Nathan Legare
67
Passes
Matthew Wedman
59
Points
Nathan Legare
107
Plus/Moins
Matthew Wedman
61
Victoires
Magnus Hellberg
27
Kevin PoulinPourcentage d’arrêts
Kevin Poulin
0.891

Statistiques d’équipe
Buts pour
224
2.73 GFG
Tirs pour
2116
25.80 Avg
Pourcentage en avantage numérique
16.0%
53 GF
Début de zone offensive
32.7%
Buts contre
306
3.73 GAA
Tirs contre
2721
33.18 Avg
Pourcentage en désavantage numérique
84.0%%
51 GA
Début de la zone défensive
46.3%
Informations de l'équipe

Directeur généralTyler
EntraîneurGeordie Kinnear
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,113
Billets de saison0


Informations de la formation

Équipe Pro7
Équipe Mineure21
Limite contact 28 / 51
Espoirs22


Historique d'équipe

Saison actuelle29-49-4 (62PTS)
Historique29-49-3 (0.358%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)0 - 0
Coupe Stanley0


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
1Jagger Firkus (R)X100.006960906660798459505658605544446250600213918,333$
2Nathan Legare (R)X100.006973596873808756504661605844446150590251905,000$
3Matthew WedmanX100.007074596274525446584146584444445050520261775,000$
4Noel HoefenmayerX100.007774846574484753254942634044445450570272775,000$
5Josh JacobsX100.00828184628149504625374064384444525056N0301775,000$
Rayé
MOYENNE D’ÉQUIPE100.00737275657262645242464961474444565057
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
1Magnus Hellberg100.0054526590555654595756304444555058N0351775,000$
2Kevin Poulin100.0052526579525250565151304444525054N0361775,000$
Rayé
MOYENNE D’ÉQUIPE100.0053526585545452585454304444545056
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Geordie Kinnear71707173777276CAN502500,000$


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
1Nathan LegareAdmirals (NSH)RW8267401075766014816438510629117.40%49152418.591081872207101927610055.65%12400061.40010001476
2Matthew WedmanAdmirals (NSH)C822459836198101311771785714513.48%28132416.16112133117000031421060.81%185000011.2500002148
3Noel HoefenmayerAdmirals (NSH)D82225476231275215105160589713.75%99150518.361411251052330002181410%200001.0100001348
4Josh JacobsAdmirals (NSH)D82232851-27170204001021925113511.98%134146817.911261811223300001543040.00%500010.6900202473
5Ben McCartneyPredatorsLW381629452724047761283910812.50%1167517.78325187801121473155.36%34500001.3301000364
6James GreenwayPredatorsC/LW/RW/D44611171712715158386922558.70%3174116.846394811300001041055.56%900000.4601300200
7Jagger FirkusAdmirals (NSH)RW197916514013122691926.92%036919.443366741012381157.14%4200000.8700000111
Statistiques d’équipe totales ou en moyenne429165230395163626501112674113834285014.50%352761017.74494594392111121318104423359.57%237700081.0403505282930
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
1Magnus HellbergAdmirals (NSH)75274430.8883.6440440224521820800.5002750722
2Kevin PoulinAdmirals (NSH)140100.8914.09470003229301000075000
Statistiques d’équipe totales ou en moyenne89274530.8883.68451502277247509027575722


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
Jagger FirkusAdmirals (NSH)RW212004-04-29CANYes163 Lbs5 ft11NoNoTrade2026-01-22NoNo32025-08-03FalseFalsePro & Farm918,333$0$0$No918,333$918,333$-------918,333$918,333$-------NoNo-------Lien
Josh JacobsAdmirals (NSH)D301996-02-15USANo223 Lbs6 ft2YesNoFree AgentNoYes12025-09-05FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Kevin PoulinAdmirals (NSH)G361990-04-12QUENo205 Lbs6 ft2YesNoFree AgentNoYes12025-10-31FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Magnus HellbergAdmirals (NSH)G351991-04-04SWENo220 Lbs6 ft6YesNoFree AgentNoYes12025-10-31FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Matthew WedmanAdmirals (NSH)C261999-05-25ABNo197 Lbs6 ft3NoNoFree AgentNoYes12025-08-19FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Nathan LegareAdmirals (NSH)RW252001-01-11CANYes200 Lbs6 ft0NoNoN/ANoYes1FalseFalsePro & Farm905,000$0$0$No---------------------------Lien
Noel HoefenmayerAdmirals (NSH)D271999-01-06ONTNo204 Lbs6 ft1NoNoAssign ManuallyNoYes22024-08-02FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
728.57202 Lbs6 ft21.43814,048$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew WedmanNathan Legare40122
230122
320122
4Nathan LegareMatthew Wedman10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noel Hoefenmayer40122
2Josh Jacobs30122
320122
4Noel Hoefenmayer10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew WedmanNathan Legare60122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noel Hoefenmayer60122
2Josh Jacobs40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nathan Legare60122
2Matthew Wedman40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noel Hoefenmayer60122
2Josh Jacobs40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Noel Hoefenmayer60122
2Nathan Legare40122Josh Jacobs40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nathan Legare60122
2Matthew Wedman40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noel Hoefenmayer60122
2Josh Jacobs40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew WedmanNathan LegareNoel Hoefenmayer
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew WedmanNathan LegareNoel Hoefenmayer
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Matthew Wedman, , Nathan LegareMatthew Wedman, Nathan Legare
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Josh Jacobs, Noel Hoefenmayer, Josh JacobsNoel Hoefenmayer,
Tirs de pénalité
, Nathan Legare, , Matthew Wedman,
Gardien
#1 : Magnus Hellberg, #2 : Kevin Poulin
Lignes d’attaque personnalisées en prolongation
, Nathan Legare, , Matthew Wedman, , , , , ,
Lignes de défense personnalisées en prolongation
Noel Hoefenmayer, , Josh Jacobs, ,


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
1 Americans51400000724-1731200000412-820200000312-920.20071320009772532747117376581318032327632412.50%16381.25%0820190842.98%942270434.84%524122942.64%159711232440571900406
2Barracuda2020000026-41010000013-21010000013-200.000224009772532397117376581367163542700.00%8187.50%0820190842.98%942270434.84%524122942.64%159711232440571900406
3Bears22000000853110000003211100000053241.000815230097725326871173765813601312635240.00%60100.00%0820190842.98%942270434.84%524122942.64%159711232440571900406
4Bruins20200000210-81010000005-51010000025-300.0002240097725323371173765813702836217228.57%11190.91%0820190842.98%942270434.84%524122942.64%159711232440571900406
5Canucks20200000112-111010000012-110100000010-1000.0001120097725322871173765813812418301218.33%9277.78%0820190842.98%942270434.84%524122942.64%159711232440571900406
6Checkers3020000137-41010000024-22010000113-210.1673470097725325771173765813811435601218.33%14285.71%0820190842.98%942270434.84%524122942.64%159711232440571900406
7Comets2110000057-2110000004221010000015-420.50051015009772532577117376581358101458300.00%70100.00%0820190842.98%942270434.84%524122942.64%159711232440571900406
8Condors2020000048-41010000035-21010000013-200.00048120097725324571173765813751829285120.00%12283.33%0820190842.98%942270434.84%524122942.64%159711232440571900406
9Crunch2110000067-11010000026-41100000041320.500610160097725324971173765813801122405120.00%10460.00%0820190842.98%942270434.84%524122942.64%159711232440571900406
10Eagles30300000418-141010000015-420200000313-1000.000481200977253241711737658131183741481700.00%13284.62%0820190842.98%942270434.84%524122942.64%159711232440571900406
11Firebirds44000000228142200000013672200000092781.000223860019772532231711737658139122221048450.00%90100.00%0820190842.98%942270434.84%524122942.64%159711232440571900406
12Griffins21000100541110000003121000010023-130.75059140097725327871173765813662416469111.11%8275.00%0820190842.98%942270434.84%524122942.64%159711232440571900406
13Gulls220000001248110000005231100000072541.00012203200977253211471173765813391031494250.00%8187.50%0820190842.98%942270434.84%524122942.64%159711232440571900406
14Ice Hogs4400000022418220000001221022000000102881.0002240620097725321937117376581311825261058225.00%11190.91%0820190842.98%942270434.84%524122942.64%159711232440571900406
15Islanders22000000165111100000010461100000061541.00016284400977253210371173765813441212553266.67%6183.33%0820190842.98%942270434.84%524122942.64%159711232440571900406
16Marlies20200000510-51010000034-11010000026-400.000581300977253232711737658136825143115213.33%7271.43%0820190842.98%942270434.84%524122942.64%159711232440571900406
17Monsters211000006601010000035-21100000031220.500610160097725323871173765813731414379333.33%60100.00%0820190842.98%942270434.84%524122942.64%159711232440571900406
18Moose413000001114-3211000008802020000036-320.250111728009772532797117376581311340326426623.08%13284.62%0820190842.98%942270434.84%524122942.64%159711232440571900406
19Penguins2010010069-31010000046-21000010023-110.250610160097725324071173765813792310387342.86%50100.00%0820190842.98%942270434.84%524122942.64%159711232440571900406
20Phantoms2020000008-81010000005-51010000003-300.0000000097725322271173765813903222241100.00%11190.91%0820190842.98%942270434.84%524122942.64%159711232440571900406
21Reign2020000048-41010000024-21010000024-200.00046100097725323171173765813751930378112.50%120100.00%1820190842.98%942270434.84%524122942.64%159711232440571900406
22Roadrunners220000001367110000007341100000063341.0001321340097725327971173765813661212464125.00%60100.00%0820190842.98%942270434.84%524122942.64%159711232440571900406
23Rocket20200000311-81010000027-51010000014-300.0003360097725322571173765813911818359111.11%9366.67%0820190842.98%942270434.84%524122942.64%159711232440571900406
24Senators20200000211-91010000018-71010000013-200.0002460097725323571173765813641711281119.09%30100.00%0820190842.98%942270434.84%524122942.64%159711232440571900406
25Silver Knights40300100516-112020000029-72010010037-410.1255712009772532567117376581310137675220315.00%22672.73%0820190842.98%942270434.84%524122942.64%159711232440571900406
26Stars41102000191632100100011832010100088060.7501937560097725321407117376581315042326013538.46%130100.00%0820190842.98%942270434.84%524122942.64%159711232440571900406
27Thunderbirds440000002161522000000121112200000095481.000213758019772532170711737658131082920939222.22%10280.00%0820190842.98%942270434.84%524122942.64%159711232440571900406
28Wild40400000322-192020000039-620200000013-1300.00035800977253257711737658131374467782100.00%23578.26%0820190842.98%942270434.84%524122942.64%159711232440571900406
29Wolf Pack2020000038-51010000015-41010000023-100.00035800977253227711737658139824243810110.00%12375.00%0820190842.98%942270434.84%524122942.64%159711232440571900406
30Wolves2020000028-61010000014-31010000014-300.0002460097725323171173765813733417277114.29%40100.00%0820190842.98%942270434.84%524122942.64%159711232440571900406
31Wranglers30300000218-162020000018-710100000110-900.00024600977253244711737658131072033471500.00%14564.29%0820190842.98%942270434.84%524122942.64%159711232440571900406
Total82274902301224306-8241152501000125155-304112240130199151-52620.378224386610029772532211671173765813272172680415603325315.96%3185183.96%1820190842.98%942270434.84%524122942.64%159711232440571900406
_Since Last GM Reset82274902301224306-8241152501000125155-304112240130199151-52620.378224386610029772532211671173765813272172680415603325315.96%3185183.96%1820190842.98%942270434.84%524122942.64%159711232440571900406
_Vs Conference49192702100151178-27251113010008585024814011006693-27430.43915126341402977253213937117376581315454035099291973115.74%1903084.21%1820190842.98%942270434.84%524122942.64%159711232440571900406
_Vs Division25151502100938671297010005436181368011003950-11350.7009316525801977253275971173765813810229230494981616.33%891286.52%0820190842.98%942270434.84%524122942.64%159711232440571900406

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8262W122438661021162721726804156002
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8227492301224306
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4115251000125155
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
411224130199151
Derniers 10 matchs
WLOTWOTL SOWSOL
370000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3325315.96%3185183.96%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
711737658139772532
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
820190842.98%942270434.84%524122942.64%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
159711232440571900406


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
214Admirals3Stars4LSommaire du match
324 Americans3Admirals4WSommaire du match
645Admirals5Firebirds2WSommaire du match
751Admirals2Silver Knights3LXSommaire du match
964Wranglers5Admirals1LSommaire du match
1184 Americans4Admirals0LSommaire du match
15105Admirals0Wild7LSommaire du match
17121Thunderbirds0Admirals6WSommaire du match
19138Silver Knights6Admirals1LSommaire du match
21151Admirals1Moose3LSommaire du match
24168Admirals5Thunderbirds3WSommaire du match
26179Firebirds3Admirals7WSommaire du match
29207Wild6Admirals2LSommaire du match
30218Admirals0Eagles8LSommaire du match
33239Ice Hogs1Admirals5WSommaire du match
36253Admirals1Checkers2LXXSommaire du match
38269Griffins1Admirals3WSommaire du match
40288Admirals3Monsters1WSommaire du match
41298Wolf Pack5Admirals1LSommaire du match
44317Admirals0Wild6LSommaire du match
46332Admirals6Islanders1WSommaire du match
48343Gulls2Admirals5WSommaire du match
50360Admirals1Wranglers10LSommaire du match
52373Senators8Admirals1LSommaire du match
54386Admirals4Firebirds0WSommaire du match
56400Admirals1Condors3LSommaire du match
57412Canucks2Admirals1LSommaire du match
60434Eagles5Admirals1LSommaire du match
62453Admirals5Stars4WXSommaire du match
64464Admirals2Bruins5LSommaire du match
65475 Americans5Admirals0LSommaire du match
68494Admirals1Barracuda3LSommaire du match
69505Checkers4Admirals2LSommaire du match
72524Admirals2Griffins3LXSommaire du match
74533Wild3Admirals1LSommaire du match
76548Admirals5Bears3WSommaire du match
78566Admirals2Reign4LSommaire du match
79575Bruins5Admirals0LSommaire du match
82590Admirals2Marlies6LSommaire du match
83605Firebirds3Admirals6WSommaire du match
86621Admirals1Rocket4LSommaire du match
88638Marlies4Admirals3LSommaire du match
90654Admirals7Gulls2WSommaire du match
92669Crunch6Admirals2LSommaire du match
93682Admirals6Roadrunners3WSommaire du match
96700Barracuda3Admirals1LSommaire du match
98714Admirals2Moose3LSommaire du match
100733Bears2Admirals3WSommaire du match
102751Admirals2Ice Hogs1WSommaire du match
104763Wranglers3Admirals0LSommaire du match
107784Admirals3Eagles5LSommaire du match
109795Rocket7Admirals2LSommaire du match
113821Condors5Admirals3LSommaire du match
116845Admirals2 Americans7LSommaire du match
118856Penguins6Admirals4LSommaire du match
122882Ice Hogs1Admirals7WSommaire du match
124898Admirals4Crunch1WSommaire du match
125911Reign4Admirals2LSommaire du match
128927Admirals4Thunderbirds2WSommaire du match
130941Thunderbirds1Admirals6WSommaire du match
132952Admirals0Phantoms3LSommaire du match
134972Admirals2Penguins3LXSommaire du match
135983Phantoms5Admirals0LSommaire du match
1381002Admirals0Canucks10LSommaire du match
1401011Wolves4Admirals1LSommaire du match
1441041Moose3Admirals5WSommaire du match
1461056Admirals1Wolves4LSommaire du match
1491072Roadrunners3Admirals7WSommaire du match
1521098Islanders4Admirals10WSommaire du match
1541113Admirals2Wolf Pack3LSommaire du match
1561131Admirals1Senators3LSommaire du match
1571137Stars4Admirals5WXSommaire du match
1601163Admirals0Checkers1LSommaire du match
1611171Silver Knights3Admirals1LSommaire du match
1651196Moose5Admirals3LSommaire du match
1671212Admirals1Comets5LSommaire du match
1691226Comets2Admirals4WSommaire du match
1701233Admirals1 Americans5LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1731258Monsters5Admirals3LSommaire du match
1751272Admirals8Ice Hogs1WSommaire du match
1761281Admirals1Silver Knights4LSommaire du match
1801296Stars4Admirals6WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets800
Assistance47,47539,156
Assistance PCT57.90%95.50%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2113 - 70.43% 92,634$3,798,000$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,096,972$ 569,833$ 569,833$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
3,097$ 597,044$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 5,814$ 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
1Nathan Legare826740107576614816438517.40%49152418.591081872101910055.65%61.4001
2Matthew Wedman82245983619813117717813.48%28132416.16112133100031060.81%11.2500
3Noel Hoefenmayer822254762312721510516013.75%99150518.361411251050002410%01.0100
4Josh Jacobs82232851-2717040010219211.98%134146817.911261811200003040.00%10.6900
5Ben McCartney381629452724477612812.50%1167517.783251801123155.36%01.3301

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
1Magnus Hellberg75274430.8883.6440440224521820800.5002
2Kevin Poulin140100.8914.09470003229301000

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
202582274902301224306-8241152501000125155-304112240130199151-5262224386610029772532211671173765813272172680415603325315.96%3185183.96%1820190842.98%942270434.84%524122942.64%159711232440571900406
Total Saison régulière82274902301224306-8241152501000125155-304112240130199151-5262224386610029772532211671173765813272172680415603325315.96%3185183.96%1820190842.98%942270434.84%524122942.64%159711232440571900406
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

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