Connexion

Admirals
GP: 18 | W: 9 | L: 8 | OTL: 1 | P: 19
GF: 62 | GA: 64 | PP%: 18.97% | PK%: 72.60%
DG: Mathieu Hooper | Morale : 50 | Moyenne d’équipe : 67
Prochain matchs #313 vs Eagles
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Centre de jeu
Wolf Pack
11-6-2, 24pts
6
FINAL
5 Admirals
9-8-1, 19pts
Team Stats
W2StreakW1
6-3-0Home Record5-5-0
5-3-2Away Record4-3-1
5-3-2Last 10 Games5-4-1
4.42Buts par match 3.44
3.53Buts contre par match 3.56
24.24%Pourcentage en avantage numérique18.97%
77.61%Pourcentage en désavantage numérique72.60%
Gulls
12-6-0, 24pts
1
FINAL
3 Admirals
9-8-1, 19pts
Team Stats
L1StreakW1
6-3-0Home Record5-5-0
6-3-0Away Record4-3-1
7-3-0Last 10 Games5-4-1
3.89Buts par match 3.44
3.22Buts contre par match 3.56
31.37%Pourcentage en avantage numérique18.97%
80.28%Pourcentage en désavantage numérique72.60%
Admirals
9-8-1, 19pts
2022-11-29
Eagles
11-8-1, 23pts
Statistiques d’équipe
W1SéquenceL1
5-5-0Fiche domicile5-4-0
4-3-1Fiche visiteur6-4-1
5-4-110 derniers matchs6-3-1
3.44Buts par match 3.85
3.56Buts contre par match 3.95
18.97%Pourcentage en avantage numérique18.42%
72.60%Pourcentage en désavantage numérique73.91%
Admirals
9-8-1, 19pts
2022-12-02
Barracuda
7-9-2, 16pts
Statistiques d’équipe
W1SéquenceW2
5-5-0Fiche domicile3-6-1
4-3-1Fiche visiteur4-3-1
5-4-110 derniers matchs2-6-2
3.44Buts par match 2.94
3.56Buts contre par match 3.56
18.97%Pourcentage en avantage numérique26.67%
72.60%Pourcentage en désavantage numérique79.69%
Thunderbirds
10-5-3, 23pts
2022-12-03
Admirals
9-8-1, 19pts
Statistiques d’équipe
W1SéquenceW1
4-4-1Fiche domicile5-5-0
6-1-2Fiche visiteur4-3-1
5-2-310 derniers matchs5-4-1
3.83Buts par match 3.44
3.56Buts contre par match 3.56
27.12%Pourcentage en avantage numérique18.97%
79.63%Pourcentage en désavantage numérique72.60%
Meneurs d'équipe
Victoires
Jeremy Helvig
7
Pourcentage d’arrêts
Jeremy Helvig
0.913

Statistiques d’équipe
Buts pour
62
3.44 GFG
Tirs pour
602
33.44 Avg
Pourcentage en avantage numérique
19.0%
11 GF
Début de zone offensive
39.3%
Buts contre
64
3.56 GAA
Tirs contre
697
38.72 Avg
Pourcentage en désavantage numérique
72.6%
20 GA
Début de la zone défensive
44.4%
Information d’équipe

Directeur généralMathieu Hooper
EntraîneurPierre Houde
DivisionCENTRALE
ConférenceOUEST
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance1,937
Billets de saison300


Information formation

Équipe Pro30
Équipe Mineure21
Limite contact 51 / 55
Espoirs17


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
1Brad Richardson0X100.006837806273777860856160725986780506903721,536,000$
2Justin Richards0X97.007636836771778365716658646265660506902412,000,000$
3Curtis McKenzie0X100.00724368638182876253616059637176050690312750,000$
4Fredrik Handemark0X99.00733592608865666472606263637568050680294850,000$
5Anthony Greco0X98.006235946965898363586661586569710506802941,025,000$
6Garrett Wilson0X100.00784562588775805762585760587173050670313750,000$
7Tyler Gaudet32XX100.00753678578481895873596057597571050670293750,000$
8Joseph Blandisi0X100.00624169637179746170636260636870050670283750,000$
9Nick Baptiste0X100.006939866078847958615962576371690506702711,278,000$
10Alan Quine0X97.006637946275736761716856596269710506602931,082,000$
11Mason Morelli0X100.00684271587785865754605658576668050660264750,000$
12Kalle Kossila0XX100.006039866369677262756460586175680506502931,070,000$
13Cameron Schilling0X100.00724570598173675830665662487476050670342750,000$
14Grant Hutton0X100.00754386598882835530575660516769050670274850,000$
15Greg Moro0X99.00794275608872625930655463486769050670273750,000$
16Fredrik Claesson0X99.007238846077748058305958614970720506603041,033,000$
17Mason Geertsen0X100.008079605792697055305356614566670506502731,099,000$
18Alex Green0X100.006339895782679055305954584764660506402441,039,000$
Rayé
1Blake Pietila0XX100.006339865872818660555759565875680506502941,034,000$
2Nolan Stevens0X100.00713987598076815855605657586668050650264850,000$
3Spencer Smallman0X100.006835705777719357615856595766680506502631,100,000$
4Nick Schilkey0X100.00563985606581846259615856627367050650281988,000$
5Tanner MacMaster0X100.00563470596578835860565763556965050640261700,000$
6Kevin Czuczman0X100.005938915682777554305553584571730506303121,140,000$
7Jalen Smereck0X100.00634285547263685430565455466764050610254998,000$
MOYENNE D’ÉQUIPE99.5668418060787679595360586056707005066
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
1Aaron Dell100.0074818277737274737274737587050770332937,500$
2Jeremy Helvig100.0075686684747375747375746771050750254768,000$
Rayé
1Zach Sawchenko100.0073747274727173727173726573050740242888,000$
2Josef Korenar100.00728178747170727170727164710507302411,500,000$
3Beck Warm100.00656766706463656463656463690506702321,950,000$
MOYENNE D’ÉQUIPE100.007274737671707271707271677405073
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Pierre Houde75757575757575Can6550$


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
1Fredrik HandemarkAdmirals (NAS)C185141906016375824348.62%132518.070337350001390152.47%26300001.1700000102
2Greg MoroAdmirals (NAS)D18514193375381928182717.86%2541723.21123746000148100.00%000000.9100000020
3Anthony GrecoAdmirals (NAS)RW18312156204246727514.48%538421.390228500001471050.00%4400000.7801000011
4Justin RichardsAdmirals (NAS)C166814-340364440204415.00%632920.6112310430001501049.10%44400000.8500000012
5Tyler GaudetAdmirals (NAS)C/LW176713514031153292718.75%428716.89145629000021047.46%11800000.9100000001
6Cameron SchillingAdmirals (NAS)D181111211604321387132.63%3038621.460221951000052100.00%000000.6200000010
7Garrett WilsonAdmirals (NAS)LW1873101255471646143115.22%730516.961018260002400139.29%2800000.6611000110
8Brad RichardsonAdmirals (NAS)RW1036920010172772911.11%420220.240334290001210049.23%6500000.8901000200
9Fredrik ClaessonAdmirals (NAS)D182570202520235178.70%2741723.181121146000160000.00%000000.3400000010
10Grant HuttonAdmirals (NAS)D18437116029152491416.67%2938821.612021452000153000.00%000000.3600000100
11Kalle KossilaAdmirals (NAS)C/LW184371209283682311.11%322612.6000000000000157.73%9700000.6200000010
12Blake PietilaAdmirals (NAS)C/LW113363203101061330.00%01069.6500000000071055.56%900001.1300000001
13Mason GeertsenAdmirals (NAS)D180662320531811770.00%2328015.6100001000023000.00%000000.4300000000
14Curtis McKenzieAdmirals (NAS)LW10426280281133122312.12%321921.993034350000251036.36%3300000.5501000000
15Alex GreenAdmirals (NAS)D16235540315105520.00%1623214.510000000005100.00%000000.4300000000
16Alan QuineAdmirals (NAS)C14055000526319230.00%321315.23011119000160048.57%14000000.4700000000
17Joseph BlandisiAdmirals (NAS)C16224-3602031346205.88%417711.07101321000000148.29%23400000.4500000000
18Nick BaptisteAdmirals (NAS)RW19314-4601418345218.82%225313.3310148000060044.21%19000000.3200000000
19Spencer SmallmanAdmirals (NAS)RW1102200011510190.00%1756.8600000000000062.50%800000.5300000000
20Mason MorelliAdmirals (NAS)RW15000-100000000.00%050.340000000000000.00%000000.0000000000
21Nolan StevensAdmirals (NAS)LW4000000000000.00%000.150000000000000.00%000000.0000000000
22Kevin CzuczmanAdmirals (NAS)D4000-100012010.00%34110.450000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne32560110170201821042539159419943210.10%196527716.24122032106499000104928449.01%167300000.6414000587
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
1Jeremy HelvigAdmirals (NAS)137410.9133.5772321434940010.0000135210
2Aaron DellAdmirals (NAS)72400.9013.3236100202020001.0004513010
Statistiques d’équipe totales ou en moyenne209810.9093.49108421636960011.00041818220


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenPlafond salarial 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 10Link
Aaron DellAdmirals (NAS)G331989-05-04No213 Lbs6 ft0NoNoNo2Pro & Farm937,500$720,766$1,200,000$0$0$No937,500$Lien
Alan QuineAdmirals (NAS)C291993-02-25No203 Lbs6 ft0NoNoNo3Pro & Farm1,082,000$831,860$0$0$No1,082,000$1,082,000$Lien
Alex GreenAdmirals (NAS)D241998-06-18No194 Lbs6 ft3NoNoNo4Pro & Farm1,039,000$798,801$800,000$0$0$No1,039,000$1,039,000$1,039,000$Lien
Anthony GrecoAdmirals (NAS)RW291993-09-30No179 Lbs5 ft10NoNoNo4Pro & Farm1,025,000$788,037$600,000$0$0$No1,025,000$1,025,000$1,025,000$Lien
Beck WarmAdmirals (NAS)G231999-04-22No173 Lbs6 ft0NoNoNo2Pro & Farm1,950,000$1,499,193$1,950,000$0$0$No1,950,000$Lien
Blake PietilaAdmirals (NAS)C/LW291993-02-20No200 Lbs5 ft11NoNoNo4Pro & Farm1,034,000$794,956$750,000$0$0$No1,034,000$1,034,000$1,034,000$Lien
Brad RichardsonAdmirals (NAS)RW371985-02-04No190 Lbs6 ft0NoNoNo2Pro & Farm1,536,000$1,180,903$650,000$0$0$No1,536,000$Lien
Cameron SchillingAdmirals (NAS)D341988-10-07No190 Lbs6 ft3NoNoNo2Pro & Farm750,000$576,612$750,000$0$0$No750,000$Lien
Curtis McKenzieAdmirals (NAS)LW311991-02-22No205 Lbs6 ft2NoNoNo2Pro & Farm750,000$576,612$750,000$0$0$No750,000$Lien
Fredrik ClaessonAdmirals (NAS)D301992-11-24No196 Lbs6 ft1NoNoNo4Pro & Farm1,033,000$794,188$650,000$0$0$No1,033,000$1,033,000$1,033,000$Lien
Fredrik HandemarkAdmirals (NAS)C291993-08-27No210 Lbs6 ft4NoNoNo4Pro & Farm850,000$653,494$850,000$0$0$No850,000$850,000$850,000$Lien
Garrett WilsonAdmirals (NAS)LW311991-03-16No218 Lbs6 ft3NoNoNo3Pro & Farm750,000$576,612$750,000$0$0$No750,000$750,000$Lien
Grant HuttonAdmirals (NAS)D271995-07-25No207 Lbs6 ft4NoNoNo4Pro & Farm850,000$653,494$850,000$0$0$No850,000$850,000$850,000$Lien
Greg MoroAdmirals (NAS)D271995-10-01No207 Lbs6 ft4NoNoNo3Pro & Farm750,000$576,612$750,000$0$0$No750,000$750,000$Lien
Jalen SmereckAdmirals (NAS)D251997-01-15No190 Lbs6 ft0NoNoNo4Pro & Farm998,000$767,279$650,000$0$0$No998,000$998,000$998,000$Lien
Jeremy HelvigAdmirals (NAS)G251997-05-25No188 Lbs6 ft4NoNoNo4Pro & Farm768,000$590,451$925,000$0$0$No768,000$768,000$768,000$Lien
Josef KorenarAdmirals (NAS)G241998-01-31No185 Lbs6 ft1NoNoNo1Pro & Farm1,500,000$1,153,225$650,000$0$0$NoLien
Joseph BlandisiAdmirals (NAS)C281994-07-18No184 Lbs6 ft0NoNoNo3Pro & Farm750,000$576,612$750,000$0$0$No750,000$750,000$Lien
Justin RichardsAdmirals (NAS)C241998-03-17No190 Lbs5 ft11NoNoNo1Pro & Farm2,000,000$1,537,634$2,000,000$0$0$NoLien
Kalle KossilaAdmirals (NAS)C/LW291993-04-14No182 Lbs5 ft11NoNoNo3Pro & Farm1,070,000$822,634$0$0$No1,070,000$1,070,000$Lien
Kevin CzuczmanAdmirals (NAS)D311991-01-09No206 Lbs6 ft2NoNoNo2Pro & Farm1,140,000$876,451$650,000$0$0$No1,140,000$Lien
Mason GeertsenAdmirals (NAS)D271995-04-19No227 Lbs6 ft4NoNoNo3Pro & Farm1,099,000$844,930$650,000$0$0$No1,099,000$1,099,000$Lien
Mason MorelliAdmirals (NAS)RW261996-02-01No198 Lbs6 ft1NoNoNo4Pro & Farm750,000$576,612$750,000$0$0$No750,000$750,000$750,000$Lien
Nick BaptisteAdmirals (NAS)RW271995-08-04No203 Lbs6 ft1NoNoNo1Pro & Farm1,278,000$982,548$600,000$0$0$NoLien
Nick SchilkeyAdmirals (NAS)RW281994-05-12No173 Lbs5 ft10NoNoNo1Pro & Farm988,000$759,591$650,000$0$0$NoLien
Nolan StevensAdmirals (NAS)LW261996-07-22No183 Lbs6 ft3NoNoNo4Pro & Farm850,000$653,494$850,000$0$0$No850,000$850,000$850,000$Lien
Spencer SmallmanAdmirals (NAS)RW261996-09-09No198 Lbs6 ft1NoNoNo3Pro & Farm1,100,000$845,698$1,500,000$0$0$No1,100,000$1,100,000$Lien
Tanner MacMasterAdmirals (NAS)LW261996-01-08No171 Lbs5 ft10NoNoNo1Pro & Farm700,000$538,172$650,000$0$0$NoLien
Tyler GaudetAdmirals (NAS)C/LW291993-04-04No205 Lbs6 ft3NoNoNo3Pro & Farm750,000$576,612$750,000$0$0$No750,000$750,000$Lien
Zach SawchenkoAdmirals (NAS)G241997-12-30No185 Lbs6 ft1NoNoNo2Pro & Farm888,000$682,709$650,000$0$0$No888,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3027.93195 Lbs6 ft12.771,032,183$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Curtis McKenzieJustin RichardsTyler Gaudet30122
2Garrett WilsonNick BaptisteAnthony Greco30122
3Kalle KossilaJoseph BlandisiAlan Quine24122
4Justin RichardsAlan QuineBrad Richardson16122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Greg MoroFredrik Claesson30122
2Cameron SchillingGrant Hutton30122
3Mason GeertsenAlex Green24122
4Greg MoroFredrik Claesson16122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Curtis McKenzieJustin RichardsAlan Quine50122
2Tyler GaudetJoseph BlandisiAnthony Greco50122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Greg MoroFredrik Claesson50122
2Cameron SchillingGrant Hutton50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Justin RichardsAnthony Greco50122
2Alan QuineGarrett Wilson50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Greg MoroFredrik Claesson50122
2Cameron SchillingGrant Hutton50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Justin Richards50122Greg MoroFredrik Claesson50122
2Anthony Greco50122Cameron SchillingGrant Hutton50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Justin RichardsAnthony Greco50122
2Alan QuineNick Baptiste50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Greg MoroFredrik Claesson50122
2Cameron SchillingGrant Hutton50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Curtis McKenzieJustin RichardsAnthony GrecoGreg MoroFredrik Claesson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Curtis McKenzieJustin RichardsAnthony GrecoGreg MoroFredrik Claesson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Justin Richards, Anthony Greco, Alan QuineJustin Richards, Anthony GrecoJustin Richards
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Grant Hutton, Mason Geertsen, Alex GreenGrant HuttonGrant Hutton, Mason Geertsen
Tirs de pénalité
Alan Quine, Curtis McKenzie, Justin Richards, Anthony Greco, Kalle Kossila
Gardien
#1 : Jeremy Helvig, #2 : Aaron Dell
Lignes d’attaque personnalisées en prolongation
Curtis McKenzie, Tyler Gaudet, Justin Richards, Anthony Greco, Brad Richardson, Nick Baptiste, Nick Baptiste, Garrett Wilson, Joseph Blandisi, Kalle Kossila, Alan Quine
Lignes de défense personnalisées en prolongation
Greg Moro, Fredrik Claesson, Cameron Schilling, Grant Hutton, Mason Geertsen


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
1Eagles211000005501010000013-21100000042220.5005914001826153611881842191571161251400.00%60100.00%033864752.24%35073247.81%12826847.76%410280449135226110
2Gulls11000000312110000003120000000000021.00036900182615348188184219153682237228.57%110.00%033864752.24%35073247.81%12826847.76%410280449135226110
3IceHogs21100000761110000005051010000026-420.5007132001182615356188184219151012248475120.00%12375.00%033864752.24%35073247.81%12826847.76%410280449135226110
4Iowa Wild10001000321100010003210000000000021.00036900182615321188184219154271025200.00%50100.00%033864752.24%35073247.81%12826847.76%410280449135226110
5Moose20101000910-11010000035-21000100065120.500916250018261537818818421915663016571000.00%8362.50%033864752.24%35073247.81%12826847.76%410280449135226110
6Roadrunners30200010812-41010000047-32010001045-120.3338122010182615390188184219159934345912325.00%13469.23%033864752.24%35073247.81%12826847.76%410280449135226110
7Texas Stars532000001918132100000131212110000066060.60019365500182615318018818421915189434610915426.67%21766.67%033864752.24%35073247.81%12826847.76%410280449135226110
8Thunderbirds1000010034-1000000000001000010034-110.50036900182615334188184219155020428100.00%2150.00%033864752.24%35073247.81%12826847.76%410280449135226110
9Wolf Pack1010000056-11010000056-10000000000000.00058130018261533418818421915431710282150.00%5180.00%033864752.24%35073247.81%12826847.76%410280449135226110
Total1868021106264-210450100037361823011102528-3190.5286211217411182615360218818421915697197182427581118.97%732072.60%033864752.24%35073247.81%12826847.76%410280449135226110
_Since Last GM Reset1868021106264-210450100037361823011102528-3190.5286211217411182615360218818421915697197182427581118.97%732072.60%033864752.24%35073247.81%12826847.76%410280449135226110
_Vs Conference1767021105758-19440100032302823011102528-3190.5595710416111182615356818818421915654180172399561017.86%681972.06%033864752.24%35073247.81%12826847.76%410280449135226110
_Vs Division1657021105457-38340100029290823011102528-3170.53154981521118261535201881842191561817217037649816.33%671873.13%033864752.24%35073247.81%12826847.76%410280449135226110

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1819W16211217460269719718242711
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
186821106264
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
104510003736
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
82311102528
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
581118.97%732072.60%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
188184219151826153
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
33864752.24%35073247.81%12826847.76%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
410280449135226110


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
3 - 2022-10-1815Admirals2Texas Stars3ALSommaire du match
4 - 2022-10-1928Texas Stars2Admirals5BWSommaire du match
6 - 2022-10-2151Moose5Admirals3BLSommaire du match
9 - 2022-10-2464Admirals2Roadrunners1AWXXSommaire du match
11 - 2022-10-2675Texas Stars6Admirals3BLSommaire du match
15 - 2022-10-30103Roadrunners7Admirals4BLSommaire du match
16 - 2022-10-31111Admirals6Moose5AWXSommaire du match
20 - 2022-11-04135Texas Stars4Admirals5BWSommaire du match
22 - 2022-11-06148Admirals4Texas Stars3AWSommaire du match
24 - 2022-11-08161Admirals2Roadrunners4ALSommaire du match
25 - 2022-11-09176Eagles3Admirals1BLSommaire du match
29 - 2022-11-13192Admirals4Eagles2AWSommaire du match
31 - 2022-11-15207Admirals3Thunderbirds4ALXSommaire du match
32 - 2022-11-16217IceHogs0Admirals5BWSommaire du match
36 - 2022-11-20238Iowa Wild2Admirals3BWXSommaire du match
37 - 2022-11-21254Admirals2IceHogs6ALSommaire du match
39 - 2022-11-23271Wolf Pack6Admirals5BLSommaire du match
43 - 2022-11-27295Gulls1Admirals3BWSommaire du match
45 - 2022-11-29313Admirals-Eagles-
48 - 2022-12-02322Admirals-Barracuda-
49 - 2022-12-03336Thunderbirds-Admirals-
52 - 2022-12-06362Texas Stars-Admirals-
53 - 2022-12-07368Admirals-Moose-
58 - 2022-12-12391Reign-Admirals-
60 - 2022-12-14413Admirals-Bears-
62 - 2022-12-16422Eagles-Admirals-
64 - 2022-12-18445Admirals-Iowa Wild-
65 - 2022-12-19456Eagles-Admirals-
67 - 2022-12-21472Admirals-Firebirds-
70 - 2022-12-24483Admirals-Roadrunners-
74 - 2022-12-28496Roadrunners-Admirals-
76 - 2022-12-30513Admirals-Condors-
78 - 2023-01-01526Silver Knights-Admirals-
81 - 2023-01-04549Binghamton Senateurs-Admirals-
83 - 2023-01-06558Admirals-Silver Knights-
85 - 2023-01-08573Admirals-Eagles-
87 - 2023-01-10590Firebirds-Admirals-
89 - 2023-01-12606Admirals-Reign-
91 - 2023-01-14621Iowa Wild-Admirals-
92 - 2023-01-15635Admirals-Phantoms-
94 - 2023-01-17650Admirals-Roadrunners-
96 - 2023-01-19662Admirals-Checkers-
97 - 2023-01-20666Crunch-Admirals-
100 - 2023-01-23691Canucks-Admirals-
101 - 2023-01-24704Admirals-Gulls-
103 - 2023-01-26722islanders-Admirals-
104 - 2023-01-27737Admirals-Moose-
106 - 2023-01-29751Moose-Admirals-
108 - 2023-01-31764Admirals-Wranglers-
111 - 2023-02-03788Rockets-Admirals-
112 - 2023-02-04802Admirals-Monsters-
115 - 2023-02-07817Reign-Admirals-
116 - 2023-02-08825Admirals-Texas Stars-
121 - 2023-02-13850Condors-Admirals-
123 - 2023-02-15874Iowa Wild-Admirals-
127 - 2023-02-19896Admirals-Texas Stars-
129 - 2023-02-21909Admirals-IceHogs-
130 - 2023-02-22919Griffins-Admirals-
132 - 2023-02-24943Wranglers-Admirals-
137 - 2023-03-01968Moose-Admirals-
140 - 2023-03-04996Roadrunners-Admirals-
144 - 2023-03-081011Admirals-Americans-
145 - 2023-03-091025Griffins-Admirals-
147 - 2023-03-111035Admirals-Firebirds-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2023-03-131054Admirals-islanders-
150 - 2023-03-141063Wolves-Admirals-
153 - 2023-03-171086Admirals-Comets-
155 - 2023-03-191097IceHogs-Admirals-
157 - 2023-03-211110Admirals-Thunderbirds-
158 - 2023-03-221122Admirals-W-B/Scranton Penguins-
161 - 2023-03-251134IceHogs-Admirals-
164 - 2023-03-281161Firebirds-Admirals-
168 - 2023-04-011188Barracuda-Admirals-
171 - 2023-04-041208Admirals-Canucks-
173 - 2023-04-061219Marlies-Admirals-
176 - 2023-04-091248Admirals-IceHogs-
177 - 2023-04-101252Thunderbirds-Admirals-
179 - 2023-04-121263Admirals-Iowa Wild-
181 - 2023-04-141281Thunderbirds-Admirals-
183 - 2023-04-161296Admirals-Providence Bruins-
184 - 2023-04-171303Admirals-Thunderbirds-
185 - 2023-04-181312Admirals-Iowa Wild-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4020
Assistance12,9716,398
Assistance PCT64.86%63.98%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
31 1937 - 64.56% 96,373$963,732$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,096,550$ 2,397,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,987,569$ 143 16,648$ 2,380,664$




Admirals Leaders statistiques (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 (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