Essayer le nouveau site
Connexion

Admirals
GP: 36 | W: 18 | L: 13 | OTL: 5 | P: 41
GF: 121 | GA: 123 | PP%: 20.91% | PK%: 81.48%
DG: Simon Demèlo | Morale : 49 | Moyenne d’équipe : 63
Prochains matchs #577 vs Wolves
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Gulls
16-15-3, 35pts
2
FINAL
3 Admirals
18-13-5, 41pts
Team Stats
W1SéquenceW3
11-4-3Fiche domicile10-4-4
5-11-0Fiche domicile8-9-1
6-4-0Derniers 10 matchs5-3-2
2.85Buts par match 3.36
3.24Buts contre par match 3.42
17.31%Pourcentage en avantage numérique20.91%
76.42%Pourcentage en désavantage numérique81.48%
Wolf Pack
20-14-2, 42pts
2
FINAL
3 Admirals
18-13-5, 41pts
Team Stats
L1SéquenceW3
9-7-1Fiche domicile10-4-4
11-7-1Fiche domicile8-9-1
7-3-0Derniers 10 matchs5-3-2
3.25Buts par match 3.36
3.33Buts contre par match 3.42
21.30%Pourcentage en avantage numérique20.91%
81.31%Pourcentage en désavantage numérique81.48%
Admirals
18-13-5, 41pts
2024-11-22
Wolves
12-15-5, 29pts
Statistiques d’équipe
W3SéquenceW1
10-4-4Fiche domicile7-8-3
8-9-1Fiche visiteur5-7-2
5-3-210 derniers matchs5-4-1
3.36Buts par match 2.69
3.42Buts contre par match 2.69
20.91%Pourcentage en avantage numérique16.67%
81.48%Pourcentage en désavantage numérique80.65%
Admirals
18-13-5, 41pts
2024-11-24
Checkers
25-9-2, 52pts
Statistiques d’équipe
W3SéquenceW3
10-4-4Fiche domicile12-3-2
8-9-1Fiche visiteur13-6-0
5-3-210 derniers matchs7-2-1
3.36Buts par match 3.75
3.42Buts contre par match 3.75
20.91%Pourcentage en avantage numérique25.21%
81.48%Pourcentage en désavantage numérique80.68%
Thunderbirds
14-20-1, 29pts
2024-11-25
Admirals
18-13-5, 41pts
Statistiques d’équipe
W1SéquenceW3
8-10-0Fiche domicile10-4-4
6-10-1Fiche visiteur8-9-1
4-6-010 derniers matchs5-3-2
2.89Buts par match 3.36
3.60Buts contre par match 3.36
20.83%Pourcentage en avantage numérique20.91%
82.03%Pourcentage en désavantage numérique81.48%
Meneurs d'équipe
Buts
Ostap Safin
15
Passes
Julius Bergman
22
Points
Julius Bergman
30
Plus/Moins
Ostap Safin
5
Victoires
Antoine Bibeau
13
Pourcentage d’arrêts
Harri Sateri
0.933

Statistiques d’équipe
Buts pour
121
3.36 GFG
Tirs pour
998
27.72 Avg
Pourcentage en avantage numérique
20.9%
23 GF
Début de zone offensive
38.9%
Buts contre
123
3.42 GAA
Tirs contre
1059
29.42 Avg
Pourcentage en désavantage numérique
81.5%%
20 GA
Début de la zone défensive
41.2%
Informations de l'équipe

Directeur généralSimon Demèlo
EntraîneurDon Hay
DivisionDivision Centrale
ConférenceConference 2
CapitaineLane Pederson
Assistant #1
Assistant #2Matthew Phillips


Informations de l’aréna

Capacité3,000
Assistance2,961
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure19
Limite contact 49 / 56
Espoirs51


Historique d'équipe

Saison actuelle18-13-5 (41PTS)
Historique52-57-7 (0.448%)
Apparitions en séries éliminatoires 1
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
1Eric RobinsonXX97.0069459173737685736771737567655558416702912,000,000$
2Lane Pederson (C)X100.0072458975727877737069667466594964586602721,500,000$
3Rickard HuggXX96.0063468876717576757071677760625564546602511,700,000$
4Otto SomppiX99.006245877270737474737170746553496059650261750,000$
5Ostap SafinXX98.007256707273727268686866666148466062630252750,000$
6Jonathan AngX100.006145867266706970726770676250476048630261750,000$
7Matthew Phillips (A)X100.006345877264727462737266656753476047620261750,000$
8Max ZimmerXX100.006245907268737466636668666253476058620271750,000$
9Dmitry SokolovXX100.006345917271666766656460726049466056610261750,000$
10Joonas RaskXX100.0054439772706664686265656863464538546103421,000,000$
11Joseph LabateXX100.0067448370756560665159616858484550236003121,000,000$
12Adam MarshXX100.007258617969645963606161626057546826600272600,000$
13Emil JohanssonX100.0067458372687475764569667457595059496502811,300,000$
14Louis Crevier (R)X97.026945917276747372457162775645457047650231900,000$
15Julius BergmanX99.0070457872717579704565657354655354586502921,200,000$
16Stepan FalkovskyX100.0069468272767475674568686755605257396402731,200,000$
17Troy RutkowskiX100.0066488969746676674565626760484547326203221,000,000$
Rayé
1Rudolfs BalcersXX100.0075458376707484746676706867634964416702711,800,000$
2Gregory HofmannXX100.004737917369677567716564697174634858630321900,000$
3Patrick HarperX100.006045847262686862696968656545456033610262750,000$
4Eero EloXX100.0057439771716966656461606360454538205903421,000,000$
5Marc Del Gaizo (R)X85.526445857268757571457266715945457039640253750,000$
6Mark BarberioX100.00604595717269686845656668626553384964N0341900,000$
7David QuennevilleX81.886344877267747468456867725653476043640261750,000$
8Matt MackenzieX100.0062508870696669664564626560514547206103311,000,000$
9Nathan KnoepkeX100.006646857272707260456055665148456020600252750,000$
10Cole CandellaX100.005342897070686659455656675946455820580261750,000$
MOYENNE D’ÉQUIPE98.22644686727071726858676569615449574363
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
1Antoine Bibeau100.007578778178788279808180465153516403031,200,500$
2Christopher Gibson96.007878778079768078797979495250576303131,000,500$
Rayé
1Harri Sateri100.00787876787972807677807548533839620341700,000$
MOYENNE D’ÉQUIPE98.6777787780797581787980784852474963
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Don Hay83777694999915CAN694100,000$


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
1Julius BergmanAdmirals (Nas)D368223054410573139222620.51%5677521.545272094000076310%000000.7700110101
2Otto SomppiAdmirals (Nas)C351019292100397390265611.11%1265318.6716717700000632050.13%76800000.8901000222
3Rickard HuggAdmirals (Nas)LW/RW341412260752838110208012.73%859117.3921320700000431255.78%14700000.8800010222
4Ostap SafinAdmirals (Nas)LW/RW3615112653810672770244821.43%265818.3022412810000682147.95%7300000.7913101214
5Lane PedersonAdmirals (Nas)C35111324-7195465692186811.96%1266018.872469850000463052.80%67800000.7301100211
6Marc Del GaizoAdmirals (Nas)D30615211175241834121817.65%2561220.422351480000065110%000000.6900010111
7Louis CrevierAdmirals (Nas)D3631619-624040434913306.12%6884523.481342683000076100%000000.4500000010
8Eric RobinsonAdmirals (Nas)LW/RW2561117460244557173610.53%645318.141349550002160147.94%26700000.7512000202
9Max ZimmerAdmirals (Nas)LW/RW368917-140192664203812.50%452714.6600003000000032.14%2800000.6400000012
10Ross ColtonPredatorsC188513360232248111916.67%230917.1740410430000260049.61%25400000.8401000210
11Gregory HofmannAdmirals (Nas)LW/RW3321113-2200144319374.65%352515.930445760001400156.82%4400000.4912000010
12Emil JohanssonAdmirals (Nas)D2611112-98035193113173.23%4858722.600331852000060000%000000.4100000002
13David QuennevilleAdmirals (Nas)D26291111402317295116.90%1644217.0100048000020110%000000.5000000000
14Matthew PhillipsAdmirals (Nas)C29281002012131961510.53%12468.49044117000000057.14%10500000.8100000020
15Dmitry SokolovAdmirals (Nas)LW/RW335510-1060192439154312.82%945913.9200000000000047.22%3600000.4400000020
16Joonas RaskAdmirals (Nas)LW/RW314610-4006204212269.52%636311.7401109000000146.15%2600000.5500000000
17Jonathan AngAdmirals (Nas)C335510-67514426513367.69%247114.281013200000241045.72%51400000.4200010100
18Mark BarberioAdmirals (Nas)D26279-112020171871011.11%2444917.27011114000025000%000000.4000000100
19Rudolfs BalcersAdmirals (Nas)LW/RW153363602382862610.71%523815.920223230000140038.10%2100000.5000000001
20Stepan FalkovskyAdmirals (Nas)D18156220016566816.67%2229916.62112324000011000%000000.4000000000
21Troy RutkowskiAdmirals (Nas)D15145-310016462716.67%1327018.01112417000018000%000000.3700000100
22Adam MarshAdmirals (Nas)LW/RW13112-14012212298.33%01138.6900002000010033.33%900000.3500000000
23Matt MackenzieAdmirals (Nas)D3022020011310%34515.220000000000000%000000.8800000000
24Patrick HarperAdmirals (Nas)C181010000140325.00%0271.5100003000071041.18%1700000.7300000000
25David GustafssonPredatorsC1000000010100%022.420000000000000%00000000000000
26Joseph LabateAdmirals (Nas)LW/RW7000-200232130%0547.8000001000010033.33%30000000000000
Statistiques d’équipe totales ou en moyenne648119210329-262684056557099829467111.92%3471068416.49234164179942000371316949.87%299000000.62310341171518
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
1Antoine BibeauAdmirals (Nas)27131130.8793.46152600887280510.81811279110
2Christopher GibsonAdmirals (Nas)115220.8983.03633203231500000920000
3Harri SateriAdmirals (Nas)10000.9332.4025001150000007000
Statistiques d’équipe totales ou en moyenne39181350.8863.322185201211058051113636110


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 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 Type Salaire actuel Plafond salarial Non Activé 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 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 MarshAdmirals (Nas)LW/RW271997-08-22No160 Lbs6 ft0NoNoN/ANoNo22024-04-29Pro & Farm600,000$0$0$No600,000$--------No--------Lien
Antoine BibeauAdmirals (Nas)G301994-05-01No216 Lbs6 ft3NoNoFree AgentNoNo32024-07-07Pro & Farm1,200,500$0$0$No1,200,500$1,200,500$-------NoNo-------Lien
Christopher GibsonAdmirals (Nas)G311992-12-27No217 Lbs6 ft2NoNoFree AgentNoNo32024-07-07Pro & Farm1,000,500$0$0$No1,000,500$1,000,500$-------NoNo-------Lien
Cole CandellaAdmirals (Nas)D261998-02-13No195 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
David Quenneville (sur la masse salariale)Admirals (Nas)D261998-03-13No190 Lbs5 ft8NoNoN/ANoNo1Pro & Farm750,000$0$0$Yes------------------Lien
Dmitry SokolovAdmirals (Nas)LW/RW261998-04-14No211 Lbs5 ft11NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Eero EloAdmirals (Nas)LW/RW341990-04-26No189 Lbs6 ft3NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Emil JohanssonAdmirals (Nas)D281996-05-06No189 Lbs5 ft11NoNoN/ANoNo1Pro & Farm1,300,000$0$0$No------------------Lien
Eric RobinsonAdmirals (Nas)LW/RW291995-06-14No201 Lbs6 ft2NoNoN/ANoNo1Pro & Farm2,000,000$0$0$No------------------Lien
Gregory HofmannAdmirals (Nas)LW/RW321992-11-13No178 Lbs6 ft0NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Harri SateriAdmirals (Nas)G341989-12-29No205 Lbs6 ft1NoNoFree AgentNoNo12024-07-10Pro & Farm700,000$0$0$No------------------Lien
Jonathan AngAdmirals (Nas)C261998-01-31No165 Lbs5 ft11NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Joonas RaskAdmirals (Nas)LW/RW341990-03-24No192 Lbs5 ft10NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Joseph LabateAdmirals (Nas)LW/RW311993-04-16No213 Lbs6 ft5NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Julius BergmanAdmirals (Nas)D291995-11-02No205 Lbs6 ft1NoNoN/ANoNo2Pro & Farm1,200,000$0$0$No1,200,000$--------No--------Lien
Lane PedersonAdmirals (Nas)C271997-08-04No190 Lbs6 ft0NoNoN/ANoNo2Pro & Farm1,500,000$0$0$No1,500,000$--------No--------Lien
Louis CrevierAdmirals (Nas)D232001-05-04Yes228 Lbs6 ft8NoNoFree AgentNoNo12024-06-18Pro & Farm900,000$0$0$No------------------Lien
Marc Del Gaizo (sur la masse salariale)Admirals (Nas)D251999-10-11Yes188 Lbs5 ft11NoNoTrade (Prospect)NoNo32024-06-18Pro & Farm750,000$0$0$Yes750,000$750,000$-------NoNo-------
Mark BarberioAdmirals (Nas)D341990-03-23No207 Lbs6 ft0YesNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Matt MackenzieAdmirals (Nas)D331991-10-15No187 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Matthew PhillipsAdmirals (Nas)C261998-04-06No165 Lbs5 ft8NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Max ZimmerAdmirals (Nas)LW/RW271997-10-29No187 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Nathan KnoepkeAdmirals (Nas)D251999-04-08No202 Lbs6 ft3NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Ostap SafinAdmirals (Nas)LW/RW251999-02-11No204 Lbs6 ft5NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Otto SomppiAdmirals (Nas)C261998-01-12No190 Lbs6 ft1NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Patrick HarperAdmirals (Nas)C261998-07-29No150 Lbs5 ft7NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Rickard HuggAdmirals (Nas)LW/RW251999-01-18No183 Lbs5 ft10NoNoN/ANoNo1Pro & Farm1,700,000$0$0$No------------------Lien
Rudolfs BalcersAdmirals (Nas)LW/RW271997-04-08No180 Lbs6 ft0NoNoN/ANoYes12024-04-29Pro & Farm1,800,000$0$0$No------------------Lien
Stepan FalkovskyAdmirals (Nas)D271996-12-18No225 Lbs6 ft7NoNoN/ANoNo32024-04-29Pro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------NoNo-------Lien
Troy RutkowskiAdmirals (Nas)D321992-04-29No216 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3028.37194 Lbs6 ft11.601,005,033$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rickard HuggLane PedersonEric Robinson25122
2Ostap SafinOtto SomppiMax Zimmer25122
3Dmitry SokolovJonathan AngJoonas Rask25122
4Joseph LabateMatthew PhillipsAdam Marsh25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Louis CrevierStepan Falkovsky25122
2Julius Bergman25122
3Troy Rutkowski25122
4Louis Crevier25122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rickard HuggLane PedersonEric Robinson50122
2Matthew PhillipsOtto SomppiOstap Safin50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Louis CrevierStepan Falkovsky50122
2Julius Bergman50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Otto SomppiRickard Hugg50122
2Jonathan AngOstap Safin50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Louis CrevierTroy Rutkowski50122
2Julius Bergman50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ostap Safin50122Stepan FalkovskyLouis Crevier50122
2Jonathan Ang50122Julius Bergman50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Lane PedersonOstap Safin50122
2Jonathan AngMax Zimmer50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Louis CrevierStepan Falkovsky50122
2Julius Bergman50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Eric RobinsonLane PedersonRickard HuggJulius BergmanLouis Crevier
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Eric RobinsonLane PedersonRickard HuggJulius BergmanLouis Crevier
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Rickard Hugg, Ostap Safin, Jonathan AngOtto Somppi, Eric RobinsonLane Pederson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Julius Bergman, Stepan Falkovsky, Julius Bergman
Tirs de pénalité
Ostap Safin, Rickard Hugg, Lane Pederson, Jonathan Ang, Matthew Phillips
Gardien
#1 : Christopher Gibson, #2 : Antoine Bibeau


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
1Barracuda3020001059-4100000103212020000027-520.3335611005123435603323363132786241653300.00%8275.00%0569114749.61%624121451.40%29858850.68%852575857271477238
2BruinsF10000010651000000000001000001065121.0006915005123435393323363132729711126233.33%3166.67%0569114749.61%624121451.40%29858850.68%852575857271477238
3Condors220000001248110000006241100000062441.0001220320051234356233233631327501710459333.33%50100.00%0569114749.61%624121451.40%29858850.68%852575857271477238
4Eagles2020000059-4000000000002020000059-400.00058130051234354033233631327601818292150.00%8187.50%0569114749.61%624121451.40%29858850.68%852575857271477238
5Griffins2010010038-52010010038-50000000000010.250347005123435543323363132767221933500.00%7271.43%0569114749.61%624121451.40%29858850.68%852575857271477238
6Gulls3300000013763300000013760000000000061.0001325380051234359233233631327743520409333.33%9188.89%0569114749.61%624121451.40%29858850.68%852575857271477238
7Icehogs311010001011-1100010006512110000046-240.667101828005123435793323363132711236194513430.77%7185.71%0569114749.61%624121451.40%29858850.68%852575857271477238
8Iowa Wild31200000913-41010000035-22110000068-220.3339162510512343583332336313278831184612216.67%9277.78%0569114749.61%624121451.40%29858850.68%852575857271477238
9Islanders1010000034-11010000034-10000000000000.00036900512343523332336313273711813600.00%4175.00%0569114749.61%624121451.40%29858850.68%852575857271477238
10Monsters1010000002-2000000000001010000002-200.00000000512343530332336313272713712100.00%10100.00%0569114749.61%624121451.40%29858850.68%852575857271477238
11Phantoms1010000025-3000000000001010000025-300.0002460051234351733233631327365614100.00%2150.00%0569114749.61%624121451.40%29858850.68%852575857271477238
12Reign32001000155101000100043122000000112961.000152742005123435112332336313276329123610330.00%6183.33%0569114749.61%624121451.40%29858850.68%852575857271477238
13Roadrunners3210000010912110000067-11100000042240.667101929005123435713323363132781131444900.00%60100.00%0569114749.61%624121451.40%29858850.68%852575857271477238
14Silver Knights20100001813-50000000000020100001813-510.25081321005123435583323363132776222232300.00%11463.64%0569114749.61%624121451.40%29858850.68%852575857271477238
15StarsF20000200810-220000200810-20000000000020.5008152300512343571332336313276032273810330.00%11281.82%0569114749.61%624121451.40%29858850.68%852575857271477238
16Wolf Pack11000000321110000003210000000000021.000358005123435223323363132731121021200.00%5180.00%0569114749.61%624121451.40%29858850.68%852575857271477238
17Wranglers32000100972210001005501100000042250.833915240051234358533233631327822033529222.22%60100.00%0569114749.61%624121451.40%29858850.68%852575857271477238
Total36141302421121123-2187402410636031879000115863-5410.5691212103311051234359983323363132710593472705651102320.91%1082081.48%0569114749.61%624121451.40%29858850.68%852575857271477238
_Since Last GM Reset36141302421121123-2187402410636031879000115863-5410.5691212103311051234359983323363132710593472705651102320.91%1082081.48%0569114749.61%624121451.40%29858850.68%852575857271477238
_Vs Conference321311024111071070166302410575431678000015053-3370.57810718629310512343589733233631327926312235505952122.11%941682.98%0569114749.61%624121451.40%29858850.68%852575857271477238
_Vs Division1313011004252-10601011002327-4712000001925-650.19242761181051234353443323363132740113096202461021.74%41685.37%0569114749.61%624121451.40%29858850.68%852575857271477238

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3641W3121210331998105934727056510
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3614132421121123
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
187424106360
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
187900115863
Derniers 10 matchs
WLOTWOTL SOWSOL
431200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1102320.91%1082081.48%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
332336313275123435
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
569114749.61%624121451.40%29858850.68%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
852575857271477238


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
1 - 2024-09-035Gulls2Admirals5BWSommaire du match
5 - 2024-09-0734Condors2Admirals6BWSommaire du match
7 - 2024-09-0948Admirals2Silver Knights6ALSommaire du match
10 - 2024-09-1268Reign3Admirals4BWXSommaire du match
12 - 2024-09-1485Admirals4Iowa Wild3AWSommaire du match
14 - 2024-09-16100Griffins5Admirals1BLSommaire du match
15 - 2024-09-17113Admirals7Reign1AWSommaire du match
18 - 2024-09-20131Wranglers3Admirals2BLXSommaire du match
20 - 2024-09-22144Admirals4Wranglers2AWSommaire du match
22 - 2024-09-24159Admirals3Icehogs1AWSommaire du match
24 - 2024-09-26171Iowa Wild5Admirals3BLSommaire du match
26 - 2024-09-28191Admirals1Barracuda4ALSommaire du match
28 - 2024-09-30204Admirals3Eagles5ALSommaire du match
30 - 2024-10-02217Roadrunners3Admirals0BLSommaire du match
32 - 2024-10-04232Gulls3Admirals5BWSommaire du match
34 - 2024-10-06242Admirals6Condors2AWSommaire du match
38 - 2024-10-10265Griffins3Admirals2BLXSommaire du match
40 - 2024-10-12288Admirals6Silver Knights7ALXXSommaire du match
41 - 2024-10-13296Admirals2Iowa Wild5ALSommaire du match
44 - 2024-10-16311Islanders4Admirals3BLSommaire du match
46 - 2024-10-18326Admirals1Barracuda3ALSommaire du match
48 - 2024-10-20341Barracuda2Admirals3BWXXSommaire du match
50 - 2024-10-22361Admirals2Eagles4ALSommaire du match
51 - 2024-10-23369Roadrunners4Admirals6BWSommaire du match
54 - 2024-10-26389Admirals6BruinsF5AWXXSommaire du match
56 - 2024-10-28402Wranglers2Admirals3BWSommaire du match
58 - 2024-10-30415Admirals1Icehogs5ALSommaire du match
61 - 2024-11-02433StarsF5Admirals4BLXSommaire du match
63 - 2024-11-04447Admirals4Roadrunners2AWSommaire du match
66 - 2024-11-07465Icehogs5Admirals6BWXSommaire du match
68 - 2024-11-09485Admirals0Monsters2ALSommaire du match
70 - 2024-11-11492Admirals2Phantoms5ALSommaire du match
72 - 2024-11-13506StarsF5Admirals4BLXSommaire du match
75 - 2024-11-16532Admirals4Reign1AWSommaire du match
76 - 2024-11-17538Gulls2Admirals3BWSommaire du match
79 - 2024-11-20562Wolf Pack2Admirals3BWSommaire du match
81 - 2024-11-22577Admirals-Wolves-
83 - 2024-11-24592Admirals-Checkers-
84 - 2024-11-25601Thunderbirds-Admirals-
87 - 2024-11-28626BruinsF-Admirals-
89 - 2024-11-30640Admirals-Rocket-
91 - 2024-12-02658Firebirds-Admirals-
94 - 2024-12-05679Admirals-Roadrunners-
96 - 2024-12-07687Admirals-Thunderbirds-
97 - 2024-12-08698Icehogs-Admirals-
100 - 2024-12-11720Admirals-BruinsF-
101 - 2024-12-12729Thunderbirds-Admirals-
104 - 2024-12-15747Admirals-Monsters-
106 - 2024-12-17762Iowa Wild-Admirals-
109 - 2024-12-20783Admirals-Thunderbirds-
110 - 2024-12-21791PenguinsF-Admirals-
114 - 2024-12-25818Barracuda-Admirals-
116 - 2024-12-27835Admirals-Gulls-
118 - 2024-12-29848Comets-Admirals-
120 - 2024-12-31866Admirals-Griffins-
123 - 2025-01-03885Crunch-Admirals-
125 - 2025-01-05901Admirals-Griffins-
126 - 2025-01-06913Admirals-Canucks-
128 - 2025-01-08924SenatorsF-Admirals-
130 - 2025-01-10938Admirals-Gulls-
132 - 2025-01-12953Americans-Admirals-
135 - 2025-01-15976Admirals-Canucks-
137 - 2025-01-17987Canucks-Admirals-
139 - 2025-01-191006Condors-Admirals-
140 - 2025-01-201020Admirals-Condors-
142 - 2025-01-221031Admirals-SenatorsF-
144 - 2025-01-241048Admirals-Checkers-
145 - 2025-01-251054Monsters-Admirals-
147 - 2025-01-271072Admirals-StarsF-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2025-01-291084Monsters-Admirals-
150 - 2025-01-301087Admirals-Moose-
153 - 2025-02-021115Eagles-Admirals-
155 - 2025-02-041127Admirals-Wranglers-
158 - 2025-02-071147Silver Knights-Admirals-
161 - 2025-02-101161Admirals-Phantoms-
163 - 2025-02-121180Eagles-Admirals-
166 - 2025-02-151199Admirals-StarsF-
168 - 2025-02-171213Admirals-Marlies-
169 - 2025-02-181219Canucks-Admirals-
174 - 2025-02-231246Bears-Admirals-
178 - 2025-02-271273Reign-Admirals-
182 - 2025-03-031301Silver Knights-Admirals-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2510
Assistance35,56017,729
Assistance PCT98.78%98.49%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
23 2961 - 98.68% 88,265$1,588,772$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,399,166$ 4,485,100$ 4,485,100$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,356,476$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,030,098$ 106 24,784$ 2,627,104$




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
1Otto Somppi116335184-17269820628411.62%34203517.55815236001113250.82%00.8302
2Lane Pederson11735437814114119727812.59%31215018.3888163600025151.74%00.7314
3Rickard Hugg114353974-7349817732710.70%26202117.7347114810143252.17%00.7312
4Ostap Safin118274370-89118610023811.34%13200416.9939123800024449.66%00.7016
5David Quenneville108154863-652958612611.90%132223820.737411470111210%00.5600

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 Hellberg56232030.8963.4429694217016270120.91724
2Antoine Bibeau27131130.8793.46152600887280510.81811
3Zachary Fucale41112410.8843.78198522125108000000
4Christopher Gibson115220.8983.03633203231500000
5Harri Sateri10000.9332.40250011500000

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
1582274402252255299-4441162001031135140-541112401221120159-3972255439694249886648240177980080343270978957312662474217.00%2345476.92%21358268550.58%1448292249.56%629134046.94%1845124920296231084528
1636141302421121123-2187402410636031879000115863-5411212103311051234359983323363132710593472705651102320.91%1082081.48%0569114749.61%624121451.40%29858850.68%852575857271477238
Total Saison régulière118415704673376422-4659232403441198200-259183301232178222-44113376649102534149109107133399111111361116703768113684318313576518.21%3427478.36%21927383250.29%2072413650.10%927192848.08%2697182528868951562766
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