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Admirals
GP: 43 | W: 23 | L: 14 | OTL: 6 | P: 52
GF: 146 | GA: 141 | PP%: 22.48% | PK%: 83.59%
DG: Simon Demèlo | Morale : 52 | Moyenne d’équipe : 63
Prochains matchs #687 vs Thunderbirds
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Centre de jeu
Firebirds
20-18-4, 44pts
1
FINAL
6 Admirals
23-14-6, 52pts
Team Stats
L2SéquenceW4
11-7-3Fiche domicile12-4-5
9-11-1Fiche domicile11-10-1
4-6-0Derniers 10 matchs8-1-1
3.33Buts par match 3.40
3.64Buts contre par match 3.28
21.43%Pourcentage en avantage numérique22.48%
74.58%Pourcentage en désavantage numérique83.59%
Admirals
23-14-6, 52pts
3
FINAL
2 Roadrunners
22-15-5, 49pts
Team Stats
W4SéquenceL1
12-4-5Fiche domicile13-7-2
11-10-1Fiche domicile9-8-3
8-1-1Derniers 10 matchs7-3-0
3.40Buts par match 3.52
3.28Buts contre par match 3.00
22.48%Pourcentage en avantage numérique24.00%
83.59%Pourcentage en désavantage numérique79.63%
Admirals
23-14-6, 52pts
2024-12-07
Thunderbirds
19-22-1, 39pts
Statistiques d’équipe
W4SéquenceW1
12-4-5Fiche domicile11-10-0
11-10-1Fiche visiteur8-12-1
8-1-110 derniers matchs6-4-0
3.40Buts par match 3.07
3.28Buts contre par match 3.07
22.48%Pourcentage en avantage numérique18.60%
83.59%Pourcentage en désavantage numérique81.94%
Icehogs
26-13-5, 57pts
2024-12-08
Admirals
23-14-6, 52pts
Statistiques d’équipe
L1SéquenceW4
14-6-1Fiche domicile12-4-5
12-7-4Fiche visiteur11-10-1
6-3-110 derniers matchs8-1-1
3.34Buts par match 3.40
2.89Buts contre par match 3.40
17.05%Pourcentage en avantage numérique22.48%
82.07%Pourcentage en désavantage numérique83.59%
Admirals
23-14-6, 52pts
2024-12-11
BruinsF
20-16-7, 47pts
Statistiques d’équipe
W4SéquenceW1
12-4-5Fiche domicile12-6-3
11-10-1Fiche visiteur8-10-4
8-1-110 derniers matchs4-4-2
3.40Buts par match 3.28
3.28Buts contre par match 3.28
22.48%Pourcentage en avantage numérique26.28%
83.59%Pourcentage en désavantage numérique79.37%
Meneurs d'équipe
Buts
Ostap Safin
17
Passes
Julius Bergman
23
Points
Otto Somppi
33
Plus/Moins
Otto Somppi
7
Victoires
Antoine Bibeau
17
Pourcentage d’arrêts
Christopher Gibson
0.902

Statistiques d’équipe
Buts pour
146
3.40 GFG
Tirs pour
1190
27.67 Avg
Pourcentage en avantage numérique
22.5%
29 GF
Début de zone offensive
38.6%
Buts contre
141
3.28 GAA
Tirs contre
1267
29.47 Avg
Pourcentage en désavantage numérique
83.6%%
21 GA
Début de la zone défensive
41.3%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,957
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure20
Limite contact 49 / 56
Espoirs51


Historique d'équipe

Saison actuelle23-14-6 (52PTS)
Historique57-58-7 (0.467%)
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
1Eric RobinsonXX99.0069459173737685736771737567655558456702912,000,000$
2David Gustafsson (R)X99.006645957970697773777068746255457037660243900,000$
3Lane PedersonX100.0072458975727877737069667466594964646602721,500,000$
4Rickard HuggXX100.0063468876717576757071677760625564586602511,700,000$
5Otto SomppiX99.006245877270737474737170746553496063650261750,000$
6Ostap SafinXX99.007256707273727268686866666148466066630252750,000$
7Dmitry SokolovXX100.006345917271666766656460726049466060610261750,000$
8Joonas RaskXX100.0054439772706664686265656863464538586103421,000,000$
9Adam MarshXX100.007258617969645963606161626057546826600272600,000$
10Emil JohanssonX100.0067458372687475764569667457595059536502811,300,000$
11Julius BergmanX99.0070457872717579704565657354655354636502921,200,000$
12Mark BarberioX100.00604595717269686845656668626553385364N0341900,000$
13Stepan FalkovskyX100.0069468272767475674568686755605257436402731,200,000$
14Troy RutkowskiX100.0066488969746676674565626760484547316203221,000,000$
Rayé
1Jonathan AngX96.006145867266706970726770676250476050630261750,000$
2Gregory HofmannXX93.614737917369677567716564697174634850630321900,000$
3Matthew Phillips (A)X100.006345877264727462737266656753476052620261750,000$
4Patrick HarperX100.006045847262686862696968656545456035610262750,000$
5Joseph LabateXX100.0067448370756560665159616858484550216003121,000,000$
6Eero EloXX100.0057439771716966656461606360454538205903421,000,000$
7Louis Crevier (R)X100.006945917276747372457162775645457051650231900,000$
8Marc Del Gaizo (R)X100.006445857268757571457266715945457042640253750,000$
9David QuennevilleX96.886344877267747468456867725653476043640261750,000$
10Matt MackenzieX100.0062508870696669664564626560514547206103311,000,000$
11Nathan KnoepkeX100.006646857272707260456055665148456020600252750,000$
12Cole CandellaX100.005342897070686659455656675946455820580261750,000$
MOYENNE D’ÉQUIPE99.23644687727071726858666569615449574463
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 Bibeau97.007578778178788279808180465153576403031,200,500$
2Harri Sateri100.00787876787972807677807548533834620341700,000$
Rayé
1Christopher Gibson100.007878778079768078797979495250656303131,000,500$
MOYENNE D’ÉQUIPE99.0077787780797581787980784852475263
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
1Ostap SafinAdmirals (Nas)LW/RW4317163364210833585275720.00%478518.2733614930001862147.56%8200000.8413101225
2Otto SomppiAdmirals (Nas)C421122337100498311136769.91%1377618.5016717760001802151.18%93400000.8501000322
3Julius BergmanAdmirals (Nas)D439233245210693845292820.00%5994622.0052721108000089310%000000.6800110101
4Lane PedersonAdmirals (Nas)C41111728-112554963104237710.58%1375618.4626811960000493052.23%78500000.7401100211
5Rickard HuggAdmirals (Nas)LW/RW41151227-5753345127259011.81%1071117.3521324840003601256.49%15400000.7600010222
6Eric RobinsonAdmirals (Nas)LW/RW3291524-1100305277234611.69%957117.8734713690002171247.20%28600010.8412000303
7Louis CrevierAdmirals (Nas)D4351722-826049535315359.43%7897822.752352787000191200%000000.4500000110
8Marc Del GaizoAdmirals (Nas)D32615210175242134122117.65%2764620.192351481000065110%000000.6500010111
9Gregory HofmannAdmirals (Nas)LW/RW396131932021752264611.54%559915.371566880001401158.82%5100000.6312000121
10Emil JohanssonAdmirals (Nas)D3311718-714043243613242.78%5673722.360332067000073000%000000.4900000002
11Max ZimmerPredatorsLW/RW378917-140192664203912.50%454314.6900003000000032.14%2800000.6300000012
12Joonas RaskAdmirals (Nas)LW/RW3859141007225312369.43%746312.2101109000000147.06%3400000.6000000000
13Jonathan AngAdmirals (Nas)C396713-67519547619487.89%358414.991123290000281046.35%64300000.4400010100
14Ross ColtonPredatorsC188513360232248111916.67%230917.1740410430000260049.61%25400000.8401000210
15Stepan FalkovskyAdmirals (Nas)D253101352002982091315.00%2943417.40145640000019000%000000.6000000100
16Matthew PhillipsAdmirals (Nas)C34391244014152561712.00%12948.67055118000000057.76%11600000.8100000020
17Dmitry SokolovAdmirals (Nas)LW/RW405712-1060212647185010.64%1153913.4800000000000043.90%4100000.4500000020
18Mark BarberioAdmirals (Nas)D334812-318022252481416.67%3357717.49123325000037100%000000.4200000200
19David QuennevilleAdmirals (Nas)D26291111402317295116.90%1644217.0100048000020110%000000.5000000000
20Rudolfs BalcersPredatorsLW/RW18358360279346298.82%527715.400223240000140033.33%2400000.5800000001
21Troy RutkowskiAdmirals (Nas)D20268212023795722.22%1936318.16112417000032010%000000.4400000100
22Adam MarshAdmirals (Nas)LW/RW18134-160203162156.25%01729.5701104000010038.46%1300000.4600000000
23David GustafssonAdmirals (Nas)C63031001111341023.08%29415.73000190000151156.35%12600000.6400000100
24Matt MackenzieAdmirals (Nas)D3022020011310%34515.220000000000000%000000.8800000000
25Patrick HarperAdmirals (Nas)C221010203151420.00%0421.9200003000071038.89%1800000.4700000000
26Joseph LabateAdmirals (Nas)LW/RW8000-200232130%0577.1700003000010033.33%30000000000000
Statistiques d’équipe totales ou en moyenne774144256400-1531240684681119035981612.10%4091275216.4829538220210950009864211350.25%359200010.63310341241721
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)33171240.8863.271889201039030520.818113310110
2Christopher GibsonAdmirals (Nas)126220.9022.946932034347000001024000
3Harri SateriAdmirals (Nas)10000.9332.4025001150000009000
Statistiques d’équipe totales ou en moyenne46231460.8913.182608401381265052114343110


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 Plafond 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 MarshAdmirals (Nas)LW/RW271997-08-22USANo160 Lbs6 ft0NoNoN/ANoNo22024-04-29FalseFalsePro & Farm600,000$0$0$No600,000$--------600,000$--------No--------Lien
Antoine BibeauAdmirals (Nas)G301994-05-01CANNo216 Lbs6 ft3NoNoFree AgentNoNo32024-07-07FalseFalsePro & Farm1,200,500$0$0$No1,200,500$1,200,500$-------1,200,500$1,200,500$-------NoNo-------Lien
Christopher GibsonAdmirals (Nas)G311992-12-27FINNo217 Lbs6 ft2NoNoFree AgentNoNo32024-07-07FalseFalsePro & Farm1,000,500$0$0$No1,000,500$1,000,500$-------1,000,500$1,000,500$-------NoNo-------Lien
Cole CandellaAdmirals (Nas)D261998-02-13CANNo195 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
David GustafssonAdmirals (Nas)C242000-04-11SWEYes196 Lbs6 ft2NoNoProspectNoNo32024-06-05FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
David QuennevilleAdmirals (Nas)D261998-03-13CANNo190 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Dmitry SokolovAdmirals (Nas)LW/RW261998-04-14RUSNo211 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Eero EloAdmirals (Nas)LW/RW341990-04-26FINNo189 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Emil JohanssonAdmirals (Nas)D281996-05-06SWENo189 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,300,000$0$0$No---------------------------Lien
Eric RobinsonAdmirals (Nas)LW/RW291995-06-14USANo201 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Gregory Hofmann (sur la masse salariale)Admirals (Nas)LW/RW321992-11-13CHENo178 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$Yes---------------------------Lien
Harri SateriAdmirals (Nas)G341989-12-29FINNo205 Lbs6 ft1NoNoFree AgentNoNo12024-07-10FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Jonathan AngAdmirals (Nas)C261998-01-31CANNo165 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Joonas RaskAdmirals (Nas)LW/RW341990-03-24FINNo192 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Joseph LabateAdmirals (Nas)LW/RW311993-04-16USANo213 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Julius BergmanAdmirals (Nas)D291995-11-02SWENo205 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Lane PedersonAdmirals (Nas)C271997-08-04CANNo190 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Louis CrevierAdmirals (Nas)D232001-05-04CANYes228 Lbs6 ft8NoNoFree AgentNoNo12024-06-18FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Marc Del GaizoAdmirals (Nas)D251999-10-11USAYes188 Lbs5 ft11NoNoProspectNoNo32024-06-18FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Mark BarberioAdmirals (Nas)D341990-03-23CANNo207 Lbs6 ft0YesNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Matt MackenzieAdmirals (Nas)D331991-10-15CANNo187 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Matthew PhillipsAdmirals (Nas)C261998-04-06CANNo165 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Nathan KnoepkeAdmirals (Nas)D251999-04-08USANo202 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Ostap SafinAdmirals (Nas)LW/RW251999-02-11CZENo204 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Otto SomppiAdmirals (Nas)C261998-01-12FINNo190 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Patrick HarperAdmirals (Nas)C261998-07-29USANo150 Lbs5 ft7NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Rickard HuggAdmirals (Nas)LW/RW251999-01-18SWENo183 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,700,000$0$0$No---------------------------Lien
Stepan FalkovskyAdmirals (Nas)D271996-12-18BLRNo225 Lbs6 ft7NoNoN/ANoNo32024-04-29FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien
Troy RutkowskiAdmirals (Nas)D321992-04-29CANNo216 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2928.31195 Lbs6 ft11.69982,793$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Eric RobinsonLane PedersonRickard Hugg25122
2Ostap SafinDavid Gustafsson25122
3Otto SomppiJoonas Rask25122
4Dmitry SokolovAdam Marsh25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Emil Johansson25122
2Julius BergmanMark Barberio25122
3Troy RutkowskiStepan Falkovsky25122
4Julius Bergman25122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lane PedersonEric Robinson50122
2David GustafssonRickard Hugg50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Stepan Falkovsky50122
2Julius BergmanEmil Johansson50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Otto SomppiRickard Hugg50122
2David GustafssonOstap Safin50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Troy Rutkowski50122
2Julius BergmanMark Barberio50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ostap Safin50122Stepan Falkovsky50122
250122Julius BergmanMark Barberio50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Lane PedersonOstap Safin50122
2Eric Robinson50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Stepan Falkovsky50122
2Julius BergmanEmil Johansson50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Eric RobinsonLane PedersonRickard HuggJulius Bergman
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Eric RobinsonLane PedersonRickard HuggJulius Bergman
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Rickard Hugg, Ostap Safin, Otto Somppi, Eric RobinsonLane Pederson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Julius Bergman, Stepan FalkovskyEmil JohanssonMark Barberio, Julius Bergman
Tirs de pénalité
Lane Pederson, David Gustafsson, Eric Robinson, ,
Gardien
#1 : Antoine Bibeau, #2 : Harri Sateri


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
1Barracuda3020001059-4100000103212020000027-520.3335611006134475603964023732986241653300.00%8275.00%0690136950.40%755146451.57%36071250.56%10106831032324568282
2BruinsF21000010972110000003211000001065141.000914230061344756839640237329581417277228.57%6183.33%0690136950.40%755146451.57%36071250.56%10106831032324568282
3Checkers1010000035-2000000000001010000035-200.000358106134475263964023732932106222150.00%20100.00%0690136950.40%755146451.57%36071250.56%10106831032324568282
4Condors220000001248110000006241100000062441.0001220320061344756239640237329501710459333.33%50100.00%0690136950.40%755146451.57%36071250.56%10106831032324568282
5Eagles2020000059-4000000000002020000059-400.00058130061344754039640237329601818292150.00%8187.50%0690136950.40%755146451.57%36071250.56%10106831032324568282
6Firebirds11000000615110000006150000000000021.0006121800613447535396402373292672216233.33%10100.00%0690136950.40%755146451.57%36071250.56%10106831032324568282
7Griffins2010010038-52010010038-50000000000010.250347006134475543964023732967221933500.00%7271.43%0690136950.40%755146451.57%36071250.56%10106831032324568282
8Gulls3300000013763300000013760000000000061.0001325380061344759239640237329743520409333.33%9188.89%0690136950.40%755146451.57%36071250.56%10106831032324568282
9Icehogs311010001011-1100010006512110000046-240.667101828006134475793964023732911236194513430.77%7185.71%0690136950.40%755146451.57%36071250.56%10106831032324568282
10Iowa Wild31200000913-41010000035-22110000068-220.3339162510613447583396402373298831184612216.67%9277.78%0690136950.40%755146451.57%36071250.56%10106831032324568282
11Islanders1010000034-11010000034-10000000000000.00036900613447523396402373293711813600.00%4175.00%0690136950.40%755146451.57%36071250.56%10106831032324568282
12Monsters1010000002-2000000000001010000002-200.00000000613447530396402373292713712100.00%10100.00%0690136950.40%755146451.57%36071250.56%10106831032324568282
13Phantoms1010000025-3000000000001010000025-300.0002460061344751739640237329365614100.00%2150.00%0690136950.40%755146451.57%36071250.56%10106831032324568282
14Reign32001000155101000100043122000000112961.000152742006134475112396402373296329123610330.00%6183.33%0690136950.40%755146451.57%36071250.56%10106831032324568282
15Roadrunners43100000131122110000067-12200000074360.750132437006134475943964023732911124205714214.29%90100.00%0690136950.40%755146451.57%36071250.56%10106831032324568282
16Rocket11000000321000000000001100000032121.0003690061344752939640237329316420300.00%20100.00%0690136950.40%755146451.57%36071250.56%10106831032324568282
17Silver Knights20100001813-50000000000020100001813-510.25081321006134475583964023732976222232300.00%11463.64%0690136950.40%755146451.57%36071250.56%10106831032324568282
18StarsF20000200810-220000200810-20000000000020.5008152300613447571396402373296032273810330.00%11281.82%0690136950.40%755146451.57%36071250.56%10106831032324568282
19Thunderbirds1000010034-11000010034-10000000000010.500358006134475293964023732928111414100.00%6183.33%0690136950.40%755146451.57%36071250.56%10106831032324568282
20Wolf Pack11000000321110000003210000000000021.000358006134475223964023732931121021200.00%5180.00%0690136950.40%755146451.57%36071250.56%10106831032324568282
21Wolves11000000422000000000001100000042221.00048120061344752139640237329321081411100.00%30100.00%0690136950.40%755146451.57%36071250.56%10106831032324568282
22Wranglers32000100972210001005501100000042250.833915240061344758539640237329822033529222.22%60100.00%0690136950.40%755146451.57%36071250.56%10106831032324568282
Total43191402521146141521940251075678221010000117174-3520.60514625640220613447511903964023732912674093166841292922.48%1282183.59%0690136950.40%755146451.57%36071250.56%10106831032324568282
_Since Last GM Reset43191402521146141521940251075678221010000117174-3520.60514625640220613447511903964023732912674093166841292922.48%1282183.59%0690136950.40%755146451.57%36071250.56%10106831032324568282
_Vs Conference341411025111131130176302510605821788000015355-2400.588113196309106134475949396402373299843342555321012322.77%1031783.50%0690136950.40%755146451.57%36071250.56%10106831032324568282
_Vs Division1513012004858-10701012002631-5812000002227-560.200488613410613447539639640237329459152116229521223.08%50786.00%0690136950.40%755146451.57%36071250.56%10106831032324568282

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4352W41462564021190126740931668420
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4319142521146141
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
219425107567
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
22101000117174
Derniers 10 matchs
WLOTWOTL SOWSOL
810100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1292922.48%1282183.59%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
396402373296134475
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
690136950.40%755146451.57%36071250.56%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10106831032324568282


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 - 2024-09-035Gulls2Admirals5WSommaire du match
5 - 2024-09-0734Condors2Admirals6WSommaire du match
7 - 2024-09-0948Admirals2Silver Knights6LSommaire du match
10 - 2024-09-1268Reign3Admirals4WXSommaire du match
12 - 2024-09-1485Admirals4Iowa Wild3WSommaire du match
14 - 2024-09-16100Griffins5Admirals1LSommaire du match
15 - 2024-09-17113Admirals7Reign1WSommaire du match
18 - 2024-09-20131Wranglers3Admirals2LXSommaire du match
20 - 2024-09-22144Admirals4Wranglers2WSommaire du match
22 - 2024-09-24159Admirals3Icehogs1WSommaire du match
24 - 2024-09-26171Iowa Wild5Admirals3LSommaire du match
26 - 2024-09-28191Admirals1Barracuda4LSommaire du match
28 - 2024-09-30204Admirals3Eagles5LSommaire du match
30 - 2024-10-02217Roadrunners3Admirals0LSommaire du match
32 - 2024-10-04232Gulls3Admirals5WSommaire du match
34 - 2024-10-06242Admirals6Condors2WSommaire du match
38 - 2024-10-10265Griffins3Admirals2LXSommaire du match
40 - 2024-10-12288Admirals6Silver Knights7LXXSommaire du match
41 - 2024-10-13296Admirals2Iowa Wild5LSommaire du match
44 - 2024-10-16311Islanders4Admirals3LSommaire du match
46 - 2024-10-18326Admirals1Barracuda3LSommaire du match
48 - 2024-10-20341Barracuda2Admirals3WXXSommaire du match
50 - 2024-10-22361Admirals2Eagles4LSommaire du match
51 - 2024-10-23369Roadrunners4Admirals6WSommaire du match
54 - 2024-10-26389Admirals6BruinsF5WXXSommaire du match
56 - 2024-10-28402Wranglers2Admirals3WSommaire du match
58 - 2024-10-30415Admirals1Icehogs5LSommaire du match
61 - 2024-11-02433StarsF5Admirals4LXSommaire du match
63 - 2024-11-04447Admirals4Roadrunners2WSommaire du match
66 - 2024-11-07465Icehogs5Admirals6WXSommaire du match
68 - 2024-11-09485Admirals0Monsters2LSommaire du match
70 - 2024-11-11492Admirals2Phantoms5LSommaire du match
72 - 2024-11-13506StarsF5Admirals4LXSommaire du match
75 - 2024-11-16532Admirals4Reign1WSommaire du match
76 - 2024-11-17538Gulls2Admirals3WSommaire du match
79 - 2024-11-20562Wolf Pack2Admirals3WSommaire du match
81 - 2024-11-22577Admirals4Wolves2WSommaire du match
83 - 2024-11-24592Admirals3Checkers5LSommaire du match
84 - 2024-11-25601Thunderbirds4Admirals3LXSommaire du match
87 - 2024-11-28626BruinsF2Admirals3WSommaire du match
89 - 2024-11-30640Admirals3Rocket2WSommaire du match
91 - 2024-12-02658Firebirds1Admirals6WSommaire du match
94 - 2024-12-05679Admirals3Roadrunners2WSommaire du match
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
Assistance41,37820,721
Assistance PCT98.52%98.67%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
20 2957 - 98.57% 88,099$1,850,073$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,750,578$ 3,570,100$ 3,570,100$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,699,783$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,761,974$ 91 19,838$ 1,805,258$




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 Somppi123345488-122610821630511.15%35215817.55815236001123351.15%00.8202
2Lane Pederson123354782-34714420429012.07%32224618.27810183800025151.59%00.7314
3Ostap Safin125294877-79520210825311.46%15213117.05410144000034449.50%00.7216
4Rickard Hugg121363975-123410318434410.47%28214117.7047115210173252.37%00.7012
5Stepan Falkovsky10717496618871444210516.19%127227121.2361420460000120%00.5800

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 Bibeau33171240.8863.271889201039030520.81811
3Zachary Fucale41112410.8843.78198522125108000000
4Christopher Gibson126220.9022.94693203434700000
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
1643191402521146141521940251075678221010000117174-35214625640220613447511903964023732912674093166841292922.48%1282183.59%0690136950.40%755146451.57%36071250.56%10106831032324568282
Total Saison régulière125465804773401440-3962252403541210207363213401232191233-42124401695109644159120111133591117512021176723976119888919503767118.88%3627579.28%22048405450.52%2203438650.23%989205248.20%2856193230619481652810
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