Connexion

Admirals
GP: 50 | W: 20 | L: 27 | OTL: 3 | P: 43
GF: 154 | GA: 186 | PP%: 17.20% | PK%: 77.46%
DG: Simon Demèlo | Morale : 40 | Moyenne d’équipe : 62
Prochains matchs #793 vs Islanders
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Centre de jeu
Admirals
20-27-3, 43pts
4
FINAL
6 StarsF
31-12-5, 67pts
Team Stats
W1SéquenceSOL1
13-11-0Fiche domicile15-6-4
7-16-3Fiche domicile16-6-1
5-5-0Derniers 10 matchs5-4-1
3.08Buts par match 3.75
3.72Buts contre par match 3.13
17.20%Pourcentage en avantage numérique26.45%
77.46%Pourcentage en désavantage numérique76.86%
Roadrunners
19-24-5, 43pts
0
FINAL
3 Admirals
20-27-3, 43pts
Team Stats
L5SéquenceW1
11-12-2Fiche domicile13-11-0
8-12-3Fiche domicile7-16-3
1-8-1Derniers 10 matchs5-5-0
3.19Buts par match 3.08
3.27Buts contre par match 3.72
26.95%Pourcentage en avantage numérique17.20%
79.04%Pourcentage en désavantage numérique77.46%
Islanders
27-17-6, 60pts
2023-12-10
Admirals
20-27-3, 43pts
Statistiques d’équipe
W1SéquenceW1
13-8-3Fiche domicile13-11-0
14-9-3Fiche visiteur7-16-3
6-4-010 derniers matchs5-5-0
3.54Buts par match 3.08
3.52Buts contre par match 3.08
20.67%Pourcentage en avantage numérique17.20%
76.19%Pourcentage en désavantage numérique77.46%
Admirals
20-27-3, 43pts
2023-12-12
Checkers
27-14-7, 61pts
Statistiques d’équipe
W1SéquenceW1
13-11-0Fiche domicile16-6-2
7-16-3Fiche visiteur11-8-5
5-5-010 derniers matchs4-5-1
3.08Buts par match 3.94
3.72Buts contre par match 3.94
17.20%Pourcentage en avantage numérique26.62%
77.46%Pourcentage en désavantage numérique80.53%
StarsF
31-12-5, 67pts
2023-12-14
Admirals
20-27-3, 43pts
Statistiques d’équipe
SOL1SéquenceW1
15-6-4Fiche domicile13-11-0
16-6-1Fiche visiteur7-16-3
5-4-110 derniers matchs5-5-0
3.75Buts par match 3.08
3.13Buts contre par match 3.08
26.45%Pourcentage en avantage numérique17.20%
76.86%Pourcentage en désavantage numérique77.46%
Meneurs d'équipe
Buts
Lane Pederson
17
Passes
Ostap Safin
24
Points
Jesse Ylonen
35
Plus/Moins
Stepan Falkovsky
10
Victoires
Magnus Hellberg
14
Pourcentage d’arrêts
Magnus Hellberg
0.894

Statistiques d’équipe
Buts pour
154
3.08 GFG
Tirs pour
1424
28.48 Avg
Pourcentage en avantage numérique
17.2%
27 GF
Début de zone offensive
38.1%
Buts contre
186
3.72 GAA
Tirs contre
1654
33.08 Avg
Pourcentage en désavantage numérique
77.5%%
32 GA
Début de la zone défensive
42.7%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,916
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure19
Limite contact 46 / 55
Espoirs52


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
1Jesse Ylonen (R)X96.006445957269767773617473777150457048660243900,000$
2Rickard HuggX100.0064458775707374747271677758595466426602421,700,000$
3Travis BoydX100.0064459472687277726873727170645952436603011,500,000$
4Lane PedersonX100.0072458974717675716868657264564766526502631,500,000$
5Jordan SzwarzX100.0073487768736376716068726972726344536503111,500,000$
6Otto SomppiX100.006345867270717273717069736550486034640252750,000$
7Matthew PhillipsX100.006445867264727264727268676750476041630252750,000$
8Ostap Safin (R)X100.007055707273707069666767676145456053620243750,000$
9Simon StranskyX100.006644897268687166646568725450486044620252750,000$
10Max ZimmerX100.006345907268727266656769646250476051620262750,000$
11Gregory HofmannX100.004937897369657467696466676971625153620312900,000$
12Joonas RaskX100.0056439772706865696366666964454542396103331,000,000$
13Julius BergmanX100.0068457872717477704566637354625257526402831,200,000$
14Mark BarberioX100.00614596717268666945666569636253422564N0332900,000$
15David QuennevilleX100.006444867267727267456765725650476053630252750,000$
16Stepan FalkovskyX100.006945827276727365456766665557516053630261750,000$
17Troy RutkowskiX100.0066478969746775684565636761454550466203131,000,000$
18Nathan Knoepke (R)X100.006645857272707062456157675145456046600243750,000$
Rayé
1Jonathan AngX100.006346847266717070716769686249476020630252750,000$
2Patrick Harper (R)X100.006145857262707063707069666645456020610253750,000$
3Dmitry SokolovX100.006445897271686865676361706048466020610252750,000$
4Adam MarshX100.007059607868655864616262636055547044600261500,000$
5Eero EloX100.0059439671716768676363626560454542206003331,000,000$
6Matt MackenzieX100.0063498870696667664565626460484550466003221,000,000$
7Cole CandellaX100.005442877070696861455858685946456020590252750,000$
MOYENNE D’ÉQUIPE99.84644686727070716860676669625349574163
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 Hellberg99.007162707977817777777673606245236303211,000,000$
2Zachary Fucale100.00716471777470797172727352525433600281500,000$
Rayé
MOYENNE D’ÉQUIPE99.5071637178767678747574735657502862
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Don Hay78807990999920CAN685100,000$


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
1Jesse YlonenAdmirals (Nas)RW44142135-31802559114358412.28%1184519.2013418910000452140.29%34500010.8303000310
2Otto SomppiAdmirals (Nas)C49151934-1512026851173010512.82%1483817.114610241000111600250.31%97600000.8101000231
3Lane PedersonAdmirals (Nas)C50171532-41406082125348813.60%1394818.9742616880001952049.02%81600000.6712000430
4Stepan FalkovskyAdmirals (Nas)D509213010360542050192818.00%63110922.19268261190000105120%000000.5400000202
5Ostap SafinAdmirals (Nas)RW5052429-9160754410834784.63%891218.25167231050002521251.57%15900000.6403000012
6David QuennevilleAdmirals (Nas)D50101929-10280494254123818.52%76112222.44538221180110106100%000000.5200000000
7Rickard HuggAdmirals (Nas)RW481117280140449111737959.40%1181817.050229531014351052.89%38000000.6800000101
8Simon StranskyAdmirals (Nas)LW4481422-76021329529688.42%658013.202682696000070057.50%4000000.7600000101
9Gregory HofmannAdmirals (Nas)LW50418223009459125764.40%772314.460221037000010055.14%10700000.6112000011
10Travis BoydAdmirals (Nas)C4012921-660183995185512.63%555613.91213533000050147.65%14900100.7512000220
11Jordan SzwarzAdmirals (Nas)RW4961218-1220039397813567.69%1060612.370337410000390150.37%27200000.5901000102
12Julius BergmanAdmirals (Nas)D488917-17420873259294113.56%6896920.203142481000080210%000000.3500000110
13Matthew PhillipsAdmirals (Nas)C4661016-154033646517449.23%665814.320448790000221052.82%65500000.4901000000
14Max ZimmerAdmirals (Nas)LW468715-13100263668174311.76%1260213.090004270001563050.00%12800000.5000000011
15Mark BarberioAdmirals (Nas)D2731114-126014182722011.11%3655820.681121038011155000%000000.5000000000
16Matt MackenzieAdmirals (Nas)D4421113-4371534331881611.11%5280418.28000312000069100%000000.3200012000
17Nathan KnoepkeAdmirals (Nas)D4711011-1343155425276243.70%5188918.92022958000056000%000000.2500011000
18Troy RutkowskiAdmirals (Nas)D32369-13175241626132711.54%2553516.73202158500008000%000000.3400100001
19Dmitry SokolovAdmirals (Nas)RW21257-3001412319266.45%722710.8300003000000022.22%900000.6200000100
20Adam MarshAdmirals (Nas)LW36235-614042213810295.26%237710.480113141011570138.46%2600000.2700000001
21Jonathan AngAdmirals (Nas)C12325-20015171517.65%1776.4600001000000040.32%6200001.2901000000
22Ross ColtonPredatorsC32244203342450.00%03010.0100000000002043.48%4600002.6600000011
23Joseph LabatePredatorsLW6000000000010%040.710000000001000%00000000000000
24Cole CandellaAdmirals (Nas)D2000000100000%13316.550000000000000%00000000000000
25Joonas RaskAdmirals (Nas)LW5000000000000%000.120000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne899151265416-147345357538431424400105110.60%4851482916.50274976262129123511964171149.64%417000110.56316123181414
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 (Nas)36141320.8943.5719160011410780120.938163218111
2Zachary FucaleAdmirals (Nas)2461410.8803.7511042269574000001832201
Statistiques d’équipe totales ou en moyenne60202730.8893.643021221831652012165050312


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)LW261997-08-22No160 Lbs6 ft0NoNoN/ANoNo1Pro & Farm500,000$0$0$No------------------Lien
Cole CandellaAdmirals (Nas)D251998-02-13No195 Lbs6 ft2NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
David QuennevilleAdmirals (Nas)D251998-03-13No190 Lbs5 ft8NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Dmitry SokolovAdmirals (Nas)RW251998-04-14No211 Lbs5 ft11NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Eero EloAdmirals (Nas)RW331990-04-26No189 Lbs6 ft3NoNoN/ANoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------NoNo-------Lien
Gregory HofmannAdmirals (Nas)LW311992-11-13No178 Lbs6 ft0NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Jesse YlonenAdmirals (Nas)RW241999-10-03Yes188 Lbs6 ft1NoNoN/ANoNo3Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------Lien
Jonathan AngAdmirals (Nas)C251998-01-31No165 Lbs5 ft11NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Joonas RaskAdmirals (Nas)LW331990-03-24No192 Lbs5 ft10NoNoN/ANoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------NoNo-------Lien
Jordan SzwarzAdmirals (Nas)RW311992-05-14No192 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------Lien
Julius BergmanAdmirals (Nas)D281995-11-02No205 Lbs6 ft1NoNoN/ANoNo3Pro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------NoNo-------Lien
Lane PedersonAdmirals (Nas)C261997-08-04No190 Lbs6 ft0NoNoN/ANoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------NoNo-------Lien
Magnus HellbergAdmirals (Nas)G321991-04-04No209 Lbs6 ft5NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Mark BarberioAdmirals (Nas)D331990-03-23No207 Lbs6 ft0YesNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------Yes--------Lien
Matt MackenzieAdmirals (Nas)D321991-10-15No187 Lbs6 ft0NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Matthew PhillipsAdmirals (Nas)C251998-04-06No165 Lbs5 ft8NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Max ZimmerAdmirals (Nas)LW261997-10-29No187 Lbs6 ft0NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Nathan KnoepkeAdmirals (Nas)D241999-04-08Yes202 Lbs6 ft3NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Ostap SafinAdmirals (Nas)RW241999-02-11Yes204 Lbs6 ft5NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Otto SomppiAdmirals (Nas)C251998-01-12No190 Lbs6 ft1NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Patrick HarperAdmirals (Nas)C251998-07-29Yes150 Lbs5 ft7NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Rickard HuggAdmirals (Nas)RW241999-01-18No183 Lbs5 ft10NoNoN/ANoNo2Pro & Farm1,700,000$0$0$No1,700,000$--------No--------Lien
Simon StranskyAdmirals (Nas)LW251997-12-21No189 Lbs5 ft11NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Stepan FalkovskyAdmirals (Nas)D261996-12-18No225 Lbs6 ft7NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Travis BoydAdmirals (Nas)C301993-09-14No190 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------Lien
Troy RutkowskiAdmirals (Nas)D311992-04-29No216 Lbs6 ft2NoNoN/ANoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------NoNo-------Lien
Zachary FucaleAdmirals (Nas)G281995-05-28No187 Lbs6 ft2NoNoN/ANoNo1Pro & Farm500,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2727.48191 Lbs6 ft02.11929,630$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Max ZimmerOtto Somppi25005
2Travis BoydRickard HuggOstap Safin25005
3Gregory HofmannJordan SzwarzLane Pederson25014
4Travis BoydOtto Somppi25014
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Julius BergmanStepan Falkovsky25122
2Troy RutkowskiDavid Quenneville25122
3Mark BarberioNathan Knoepke25122
4David QuennevilleStepan Falkovsky25122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Otto SomppiGregory Hofmann50122
2Max ZimmerTravis BoydOstap Safin50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Julius BergmanTroy Rutkowski50122
2Stepan FalkovskyDavid Quenneville50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ostap SafinGregory Hofmann50122
2Max Zimmer50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Julius BergmanMark Barberio50122
2Stepan FalkovskyDavid Quenneville50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ostap Safin50122Julius BergmanTroy Rutkowski50122
2Gregory Hofmann50122Stepan FalkovskyDavid Quenneville50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ostap SafinTravis Boyd50122
2Gregory Hofmann50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Troy RutkowskiDavid Quenneville50122
2Stepan FalkovskyNathan Knoepke50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Travis BoydOstap SafinDavid QuennevilleJulius Bergman
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Gregory HofmannTravis BoydDavid QuennevilleJulius Bergman
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Gregory Hofmann, , Ostap SafinOstap Safin, Gregory HofmannOstap Safin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
David Quenneville, Mark Barberio, Stepan FalkovskyStepan FalkovskyDavid Quenneville, Stepan Falkovsky
Tirs de pénalité
, Ostap Safin, Gregory Hofmann, Travis Boyd, Max Zimmer
Gardien
#1 : Zachary Fucale, #2 : Magnus Hellberg


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
1Americans11000000541110000005410000000000021.0005813006250375314814744582731716147114.29%2150.00%0821158751.73%872177949.02%37780446.89%11257601238382660321
2Barracuda21000010862210000108620000000000041.00081321006250375684814744582763166244250.00%30100.00%0821158751.73%872177949.02%37780446.89%11257601238382660321
3BruinsF3210000010643210000010640000000000040.6671018280062503751004814744582710713214510110.00%8187.50%1821158751.73%872177949.02%37780446.89%11257601238382660321
4Canucks2020000038-5000000000002020000038-500.0003580062503755448147445827571524257114.29%5260.00%0821158751.73%872177949.02%37780446.89%11257601238382660321
5Comets2010100057-2000000000002010100057-220.5005101500625037565481474458276219831100.00%4250.00%0821158751.73%872177949.02%37780446.89%11257601238382660321
6Condors4300100018135210010009722200000096381.000183452006250375123481474458278843255519421.05%9366.67%1821158751.73%872177949.02%37780446.89%11257601238382660321
7Crunch11000000431000000000001100000043121.000461000625037519481474458273812411400.00%20100.00%0821158751.73%872177949.02%37780446.89%11257601238382660321
8Eagles2010010058-3000000000002010010058-310.2505914006250375534814744582764244266233.33%2150.00%0821158751.73%872177949.02%37780446.89%11257601238382660321
9Firebirds1010000024-2000000000001010000024-200.0002350062503752948147445827257617600.00%30100.00%0821158751.73%872177949.02%37780446.89%11257601238382660321
10Griffins1010000035-2000000000001010000035-200.0003471062503752948147445827429415500.00%20100.00%0821158751.73%872177949.02%37780446.89%11257601238382660321
11Gulls311000011113-22110000089-11000000134-130.5001119300062503751194814744582710925273916425.00%6266.67%0821158751.73%872177949.02%37780446.89%11257601238382660321
12Iowa Wild42200000990211000007432110000025-340.5009152401625037512148147445827130393064800.00%14285.71%0821158751.73%872177949.02%37780446.89%11257601238382660321
13Islanders1010000003-3000000000001010000003-300.00000000625037523481474458273611614100.00%2150.00%0821158751.73%872177949.02%37780446.89%11257601238382660321
14Moose1010000001-11010000001-10000000000000.00000000625037526481474458272510426200.00%20100.00%0821158751.73%872177949.02%37780446.89%11257601238382660321
15PenguinsF1010000036-31010000036-30000000000000.00036900625037516481474458273813418200.00%2150.00%0821158751.73%872177949.02%37780446.89%11257601238382660321
16Phantoms11000000624110000006240000000000021.0006101600625037535481474458273010616300.00%30100.00%0821158751.73%872177949.02%37780446.89%11257601238382660321
17Reign21000100871110000005321000010034-130.750814220062503755148147445827671512285240.00%60100.00%0821158751.73%872177949.02%37780446.89%11257601238382660321
18Roadrunners42100010191362100001095421100000108260.7501932510162503751084814744582713634226416212.50%90100.00%0821158751.73%872177949.02%37780446.89%11257601238382660321
19Rocket1010000045-1000000000001010000045-100.00045900625037529481474458274211415000%20100.00%0821158751.73%872177949.02%37780446.89%11257601238382660321
20Silver Knights2020000038-52020000038-50000000000000.0003581062503754948147445827702416254125.00%8275.00%0821158751.73%872177949.02%37780446.89%11257601238382660321
21StarsF302000101214-21010000045-12010001089-120.33312203200625037579481474458271063324427457.14%12375.00%0821158751.73%872177949.02%37780446.89%11257601238382660321
22Thunderbirds20200000413-91010000005-51010000048-400.00047110062503754448147445827752618284125.00%9366.67%0821158751.73%872177949.02%37780446.89%11257601238382660321
23Wolf Pack1010000024-2000000000001010000024-200.00024600625037531481474458273486194125.00%30100.00%0821158751.73%872177949.02%37780446.89%11257601238382660321
24Wolves1010000013-2000000000001010000013-200.0001120062503751848147445827275619400.00%30100.00%0821158751.73%872177949.02%37780446.89%11257601238382660321
25Wranglers40400000921-1220200000510-520200000411-700.00091726006250375104481474458271525644731218.33%21861.90%0821158751.73%872177949.02%37780446.89%11257601238382660321
Total50152702231154186-322410110102082811265160121172105-33430.43015426541922625037514244814744582716544853477531572717.20%1423277.46%2821158751.73%872177949.02%37780446.89%11257601238382660321
_Since Last GM Reset50152702231154186-322410110102082811265160121172105-33430.43015426541922625037514244814744582716544853477531572717.20%1423277.46%2821158751.73%872177949.02%37780446.89%11257601238382660321
_Vs Conference35101801231112138-261768010205862-418410002115476-22310.44311219430622625037510024814744582711593592565081132421.24%1062675.47%1821158751.73%872177949.02%37780446.89%11257601238382660321
_Vs Division1603000004958-97010000020200902000002938-900.00049831320262503754314814744582753616610225043920.93%48981.25%0821158751.73%872177949.02%37780446.89%11257601238382660321

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5043W11542654191424165448534775322
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5015272231154186
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
24101110208281
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
26516121172105
Derniers 10 matchs
WLOTWOTL SOWSOL
350020
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1572717.20%1423277.46%2
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
481474458276250375
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
821158751.73%872177949.02%37780446.89%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11257601238382660321


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 - 2023-08-257Admirals3Reign4ALXSommaire du match
3 - 2023-08-2722BruinsF1Admirals3BWSommaire du match
6 - 2023-08-3045BruinsF3Admirals0BLSommaire du match
8 - 2023-09-0157Admirals2Comets5ALSommaire du match
9 - 2023-09-0263Admirals4Thunderbirds8ALSommaire du match
11 - 2023-09-0485Admirals8Roadrunners5AWSommaire du match
13 - 2023-09-0696Iowa Wild1Admirals5BWSommaire du match
16 - 2023-09-09122Wranglers4Admirals2BLSommaire du match
18 - 2023-09-11131Admirals3Wranglers5ALSommaire du match
20 - 2023-09-13150StarsF5Admirals4BLSommaire du match
21 - 2023-09-14162Admirals4Condors2AWSommaire du match
24 - 2023-09-17179Admirals2Eagles4ALSommaire du match
25 - 2023-09-18189Gulls5Admirals3BLSommaire du match
28 - 2023-09-21210Admirals4StarsF3AWXXSommaire du match
30 - 2023-09-23222PenguinsF6Admirals3BLSommaire du match
32 - 2023-09-25234Admirals2Canucks3ALSommaire du match
34 - 2023-09-27249Admirals3Griffins5ALSommaire du match
35 - 2023-09-28256Barracuda3Admirals4BWSommaire du match
38 - 2023-10-01282Reign3Admirals5BWSommaire du match
40 - 2023-10-03293Admirals3Gulls4ALXXSommaire du match
42 - 2023-10-05313Condors2Admirals3BWSommaire du match
44 - 2023-10-07324Admirals1Canucks5ALSommaire du match
46 - 2023-10-09344Silver Knights4Admirals2BLSommaire du match
48 - 2023-10-11361Admirals2Roadrunners3ALSommaire du match
51 - 2023-10-14377Iowa Wild3Admirals2BLSommaire du match
53 - 2023-10-16391Admirals1Wranglers6ALSommaire du match
55 - 2023-10-18408Admirals2Wolf Pack4ALSommaire du match
56 - 2023-10-19416Wranglers6Admirals3BLSommaire du match
59 - 2023-10-22439Admirals3Eagles4ALXSommaire du match
60 - 2023-10-23447Gulls4Admirals5BWSommaire du match
63 - 2023-10-26468Admirals2Iowa Wild0AWSommaire du match
65 - 2023-10-28477Silver Knights4Admirals1BLSommaire du match
67 - 2023-10-30488Admirals3Comets2AWXSommaire du match
69 - 2023-11-01503Admirals1Wolves3ALSommaire du match
70 - 2023-11-02510Americans4Admirals5BWSommaire du match
73 - 2023-11-05531Admirals4Crunch3AWSommaire du match
75 - 2023-11-07543BruinsF2Admirals7BWSommaire du match
78 - 2023-11-10568Admirals4Rocket5ALSommaire du match
79 - 2023-11-11575Condors5Admirals6BWXSommaire du match
82 - 2023-11-14601Admirals0Islanders3ALSommaire du match
83 - 2023-11-15607Thunderbirds5Admirals0BLSommaire du match
86 - 2023-11-18633Admirals2Firebirds4ALSommaire du match
87 - 2023-11-19639Phantoms2Admirals6BWSommaire du match
92 - 2023-11-24670Moose1Admirals0BLSommaire du match
94 - 2023-11-26693Admirals0Iowa Wild5ALSommaire du match
95 - 2023-11-27700Roadrunners5Admirals6BWXXSommaire du match
98 - 2023-11-30719Admirals5Condors4AWSommaire du match
100 - 2023-12-02734Barracuda3Admirals4BWXXSommaire du match
102 - 2023-12-04751Admirals4StarsF6ALSommaire du match
103 - 2023-12-05761Roadrunners0Admirals3BWSommaire du match
108 - 2023-12-10793Islanders-Admirals-
110 - 2023-12-12806Admirals-Checkers-
112 - 2023-12-14825StarsF-Admirals-
114 - 2023-12-16838Admirals-Silver Knights-
115 - 2023-12-17849Admirals-Marlies-
117 - 2023-12-19863PenguinsF-Admirals-
121 - 2023-12-23888Icehogs-Admirals-
123 - 2023-12-25903Admirals-Thunderbirds-
125 - 2023-12-27921SenatorsF-Admirals-
127 - 2023-12-29935Admirals-Gulls-
129 - 2023-12-31951Monsters-Admirals-
133 - 2024-01-04980Thunderbirds-Admirals-
135 - 2024-01-06991Admirals-Icehogs-
137 - 2024-01-081008Canucks-Admirals-
138 - 2024-01-091019Admirals-Icehogs-
141 - 2024-01-121038Eagles-Admirals-
143 - 2024-01-141053Admirals-Barracuda-
145 - 2024-01-161065Admirals-Thunderbirds-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
147 - 2024-01-181082Icehogs-Admirals-
149 - 2024-01-201093Admirals-Reign-
152 - 2024-01-231110Admirals-Barracuda-
153 - 2024-01-241120Canucks-Admirals-
155 - 2024-01-261136Admirals-Monsters-
157 - 2024-01-281150Reign-Admirals-
161 - 2024-02-011176Monsters-Admirals-
162 - 2024-02-021182Admirals-Monsters-
163 - 2024-02-031189Admirals-Griffins-
166 - 2024-02-061212Eagles-Admirals-
167 - 2024-02-071217Admirals-Silver Knights-
171 - 2024-02-111246Bears-Admirals-
176 - 2024-02-161274Griffins-Admirals-
181 - 2024-02-211306Griffins-Admirals-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2510
Assistance46,55223,439
Assistance PCT96.98%97.66%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
17 2916 - 97.21% 84,474$2,027,374$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,361,933$ 2,510,000$ 2,510,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,303,673$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,436,057$ 76 14,341$ 1,089,916$




Admirals Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Admirals Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Admirals Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Admirals Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Admirals Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA