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Admirals
GP: 45 | W: 23 | L: 20 | OTL: 2 | P: 48
GF: 132 | GA: 123 | PP%: 22.56% | PK%: 81.11%
DG: Eric Sabourin | Morale : 40 | Moyenne d’équipe : 63
Prochains matchs #731 vs Condors

Centre de jeu
IceHogs
25-20-1, 51pts
4
2 Admirals
23-20-2, 48pts
Team Stats
W2SéquenceL2
14-10-0Fiche domicile14-8-2
11-10-1Fiche domicile9-12-0
5-5-0Derniers 10 matchs5-5-0
3.59Buts par match 2.93
3.48Buts contre par match 2.73
22.41%Pourcentage en avantage numérique22.56%
77.12%Pourcentage en désavantage numérique81.11%
Bears
24-17-5, 53pts
4
2 Admirals
23-20-2, 48pts
Team Stats
W3SéquenceL2
11-11-2Fiche domicile14-8-2
13-6-3Fiche domicile9-12-0
8-1-1Derniers 10 matchs5-5-0
3.59Buts par match 2.93
3.28Buts contre par match 2.73
22.78%Pourcentage en avantage numérique22.56%
78.65%Pourcentage en désavantage numérique81.11%
Condors
28-15-3, 59pts
2026-01-13
Admirals
23-20-2, 48pts
Statistiques d’équipe
L2SéquenceL2
12-6-2Fiche domicile14-8-2
16-9-1Fiche visiteur9-12-0
4-4-210 derniers matchs5-5-0
3.74Buts par match 2.93
3.41Buts contre par match 2.93
18.23%Pourcentage en avantage numérique22.56%
68.55%Pourcentage en désavantage numérique81.11%
Admirals
23-20-2, 48pts
2026-01-16
Eagles
20-21-4, 44pts
Statistiques d’équipe
L2SéquenceL2
14-8-2Fiche domicile8-13-1
9-12-0Fiche visiteur12-8-3
5-5-010 derniers matchs4-6-0
2.93Buts par match 2.89
2.73Buts contre par match 2.89
22.56%Pourcentage en avantage numérique18.90%
81.11%Pourcentage en désavantage numérique81.12%
Admirals
23-20-2, 48pts
2026-01-17
Silver Knights
19-20-5, 43pts
Statistiques d’équipe
L2SéquenceL1
14-8-2Fiche domicile11-8-3
9-12-0Fiche visiteur8-12-2
5-5-010 derniers matchs7-3-0
2.93Buts par match 3.09
2.73Buts contre par match 3.09
22.56%Pourcentage en avantage numérique18.13%
81.11%Pourcentage en désavantage numérique77.08%
Meneurs d'équipe
Sam ColangeloButs
Sam Colangelo
16
Sam ColangeloPasses
Sam Colangelo
29
Sam ColangeloPoints
Sam Colangelo
45
Cameron HebigPlus/Moins
Cameron Hebig
13
Matt D. MurrayVictoires
Matt D. Murray
19
Chris DriedgerPourcentage d’arrêts
Chris Driedger
0.932

Statistiques d’équipe
Buts pour
132
2.93 GFG
Tirs pour
1444
32.09 Avg
Pourcentage en avantage numérique
22.6%
37 GF
Début de zone offensive
41.3%
Buts contre
123
2.73 GAA
Tirs contre
1432
31.82 Avg
Pourcentage en désavantage numérique
81.1%%
41 GA
Début de la zone défensive
40.9%
Informations de l'équipe

Directeur généralEric Sabourin
EntraîneurKarl Taylor
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité5,000
Assistance3,750
Billets de saison3,750


Informations de la formation

Équipe Pro24
Équipe Mineure19
Limite contact 43 / 70
Espoirs1


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
1Sam Colangelo (R)X100.00733991728387746866636962716465040670243925,000$
2Rodrigo Abols (R)X100.00763993658877726468616263656971040650303925,000$
3Cameron HughesXX100.00553974656485866374666467626971040640294950,000$
4John HaydenX100.00798170638880846267616064597172040640311925,000$
5Tim GettingerXX100.00875190589677805956585762596769040640281925,000$
6Brandon BiroX100.00553688636678826267636162636769040630284950,000$
7Cameron HebigX100.00603883636985846467636261646870040630292925,000$
8Liam O'BrienXX100.00887955668075796258605761567271040630322925,000$
9Reese JohnsonXX100.00796574627677786164605966586769040630281925,000$
10Andre LeeX100.00794279629175796055595861576566040630262925,111$
11Scott ReedyX100.00723893618174665862566059576668040620274925,000$
12Parker FordX100.00653874616885825961586357666567040620262925,000$
13Dino KambeitzXX100.00744179578370805653525859566567040610261925,000$
14Adam WilsbyX100.00653888667585786530645863516567040640261925,000$
15Kyle CapobiancoX100.00724173648377856230645761496870040640294950,000$
16Gustav LindstromX100.00723981647982776230676063516769040640272925,111$
17John LudvigX100.00726271647977746330626061526567040630261925,000$
18Domenick FensoreX100.00643783606487805930585663496466040610242925,000$
Rayé
1Derek RyanXXX100.00663594656775826382625973568179040650392925,000$
2Emilio PettersenX100.00573784596678865868605655576567040600262925,111$
3Samuel BittenXX100.00716355568064765458525355546567040580264925,000$
4Joey Keane (R)X100.00633981557268665430575356476668040580273925,000$
MOYENNE D’ÉQUIPE100.0070468062777879615560596257676904063
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
1Matt D. Murray100.0079858177787779787779786777040680282925,111$
2Chris Driedger100.0075837888747375747375747185040660322925,001$
Rayé
MOYENNE D’ÉQUIPE100.007784808376757776757776698104067
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Karl Taylor72737164837868CAN542500,000$


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
1Sam ColangeloAdmirals (NSH)RW4116294573007493172471419.30%1297723.8357122312602271733149.24%46300000.9224000223
2Rodrigo AbolsAdmirals (NSH)C43132235720053113134371069.70%686820.21410142011011251211052.45%106000100.8113000133
3Gustav LindstromAdmirals (NSH)D451117288460935670263715.71%67100322.297411461171012158110%000100.5600000111
4Adam WilsbyAdmirals (NSH)D4552227514055556728477.46%76113525.23358381360003187200%000000.4800000132
5Cameron HughesAdmirals (NSH)C/LW45101525-31404481144381126.94%1489819.975510221260114911045.24%21000000.5612000120
6John LudvigAdmirals (NSH)D45222247681082475715433.51%5894220.95167261120001154200%000000.5100020003
7Cameron HebigAdmirals (NSH)RW459142313160153878215411.54%456712.60033326000140241.86%4300000.8100000011
8Kyle CapobiancoAdmirals (NSH)D4171623364101074251132913.73%6895323.254711271190001141000%000000.4800002032
9Derek RyanAdmirals (NSH)C/LW/RW3413922-68037123104328212.50%1980723.755510149910191491159.83%71200000.5524000203
10Tim GettingerAdmirals (NSH)LW/RW4571421446094409734687.22%580617.92156211260000240047.37%9500000.5200000112
11John HaydenAdmirals (NSH)C441010209335417181215412.35%554212.330002100001354054.71%60500000.7400100112
12Reese JohnsonAdmirals (NSH)C/RW45614200295796612941894.65%468415.212572299000002059.18%4900000.5800010211
13Liam O'BrienAdmirals (NSH)C/LW4589171174101284964295012.50%760613.480004150112471152.08%9600000.5600020110
14Domenick FensoreAdmirals (NSH)D442911-22605434287207.14%3669515.82101218000063100%000000.3200000010
15Brandon BiroAdmirals (NSH)LW453710-214031445620435.36%3165814.6201106000081068.75%1600000.3000000010
16Andre LeeAdmirals (NSH)LW45549-5215382650122710.00%93648.09000050000171050.79%6300000.4900100200
17Scott ReedyAdmirals (NSH)C45426-20010313551611.43%62435.4100001000000044.73%27500000.4900000001
18Parker FordAdmirals (NSH)RW4513426019134015302.50%22685.9700000000000043.75%1600000.3000000000
19Emilio PettersenAdmirals (NSH)LW7011100224110%2314.4500000000030054.55%1100000.6400000000
20Dino KambeitzAdmirals (NSH)C/RW1710110011150120.00%1734.3000002000020041.67%4800000.2700000000
Statistiques d’équipe totales ou en moyenne811133239372585294510671025146644210509.07%4321312716.193863101270126335836138621652.55%376200200.57613252152124
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
1Matt D. MurrayAdmirals (NSH)39191910.9112.7922800410611960200.7789396630
2Chris DriedgerAdmirals (NSH)84110.9322.2043700162360000.6673639200
Statistiques d’équipe totales ou en moyenne47232020.9152.692717041221432020124545830


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 WilsbyAdmirals (NSH)D262000-08-07SWENo188 Lbs185 CMNoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Andre LeeAdmirals (NSH)LW262000-07-26SWENo206 Lbs196 CMNoNoFree AgentNoNo22025-07-13FalseFalsePro & Farm925,111$0$0$No925,111$--------925,111$--------No--------Lien / Lien NHL
Brandon BiroAdmirals (NSH)LW281998-03-11CANNo170 Lbs180 CMNoNoTrade2025-07-22YesYes42024-07-22FalseFalsePro & Farm950,000$0$0$No950,000$950,000$950,000$------950,000$950,000$950,000$------NoNoNo------Lien / Lien NHL
Cameron HebigAdmirals (NSH)RW291997-01-21CANNo184 Lbs180 CMNoNoFree AgentYesYes22025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Cameron HughesAdmirals (NSH)C/LW291996-10-09CANNo160 Lbs180 CMNoNoTrade2025-07-22YesYes42024-07-22FalseFalsePro & Farm950,000$0$0$No950,000$950,000$950,000$------950,000$950,000$950,000$------NoNoNo------Lien / Lien NHL
Chris DriedgerAdmirals (NSH)G321994-05-18CANNo208 Lbs193 CMNoNoFree AgentYesYes22025-07-19FalseFalsePro & Farm925,001$0$0$No925,001$--------925,001$--------No--------Lien / Lien NHL
Derek RyanAdmirals (NSH)C/LW/RW391986-12-29USANo185 Lbs178 CMNoNoFree AgentYesYes22025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Dino KambeitzAdmirals (NSH)C/RW262000-01-25USANo212 Lbs188 CMNoNoTrade2025-07-22NoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Domenick FensoreAdmirals (NSH)D242001-09-07USANo175 Lbs175 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Emilio PettersenAdmirals (NSH)LW262000-04-03NORNo170 Lbs180 CMNoNoFree AgentNoNo22025-07-13FalseFalsePro & Farm925,111$0$0$No925,111$--------925,111$--------No--------Lien / Lien NHL
Gustav LindstromAdmirals (NSH)D271998-10-20SWENo194 Lbs188 CMNoNoFree AgentNoNo22025-07-13FalseFalsePro & Farm925,111$0$0$No925,111$--------925,111$--------No--------Lien / Lien NHL
Joey KeaneAdmirals (NSH)D271999-07-02USAYes187 Lbs183 CMNoNoDraftNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
John HaydenAdmirals (NSH)C311995-02-14USANo223 Lbs191 CMNoNoTrade2025-07-22YesYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
John LudvigAdmirals (NSH)D262000-08-02CANNo210 Lbs185 CMNoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Kyle CapobiancoAdmirals (NSH)D291997-08-13CANNo198 Lbs191 CMNoNoTrade2025-07-22YesYes42024-07-22FalseFalsePro & Farm950,000$0$0$No950,000$950,000$950,000$------950,000$950,000$950,000$------NoNoNo------Lien / Lien NHL
Liam O'BrienAdmirals (NSH)C/LW321994-07-29CANNo215 Lbs185 CMNoNoFree Agent2024-02-27YesYes22025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Matt D. MurrayAdmirals (NSH)G281998-02-02CANNo196 Lbs185 CMNoNoFree AgentYesYes22025-07-13FalseFalsePro & Farm925,111$0$0$No925,111$--------925,111$--------No--------Lien / Lien NHL
Parker FordAdmirals (NSH)RW262000-07-20USANo181 Lbs175 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Reese JohnsonAdmirals (NSH)C/RW281998-07-10CANNo193 Lbs185 CMNoNoAssign ManuallyYesYes12024-07-22FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Rodrigo AbolsAdmirals (NSH)C301996-01-05LVAYes206 Lbs193 CMNoNoTrade2025-07-22NoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Sam ColangeloAdmirals (NSH)RW242001-12-26USAYes211 Lbs188 CMNoNoTrade2025-11-02NoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Samuel BittenAdmirals (NSH)C/LW262000-03-21CANNo200 Lbs188 CMNoNoAssign ManuallyNoNo42024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Scott ReedyAdmirals (NSH)C271999-04-04USANo205 Lbs188 CMNoNoAssign ManuallyNoNo42024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Tim GettingerAdmirals (NSH)LW/RW281998-04-14USANo220 Lbs198 CMNoNoAssign ManuallyYesYes12024-07-22FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2428.08196 Lbs185 CM2.29928,144$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tim GettingerRodrigo AbolsSam Colangelo40122
2Brandon BiroCameron HughesCameron Hebig30122
3Liam O'BrienJohn HaydenReese Johnson20122
4Andre LeeScott ReedyParker Ford10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam WilsbyGustav Lindstrom40122
2Kyle CapobiancoJohn Ludvig30122
3Domenick FensoreAndre Lee20122
4Adam WilsbyGustav Lindstrom10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tim GettingerRodrigo AbolsSam Colangelo60122
2Brandon BiroCameron HughesCameron Hebig40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam WilsbyGustav Lindstrom60122
2Kyle CapobiancoJohn Ludvig40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sam ColangeloRodrigo Abols60122
2Tim GettingerCameron Hughes40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam WilsbyGustav Lindstrom60122
2Kyle CapobiancoJohn Ludvig40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sam Colangelo60122Adam WilsbyGustav Lindstrom60122
2Rodrigo Abols40122Kyle CapobiancoJohn Ludvig40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sam ColangeloRodrigo Abols60122
2Tim GettingerCameron Hughes40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam WilsbyGustav Lindstrom60122
2Kyle CapobiancoJohn Ludvig40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tim GettingerRodrigo AbolsSam ColangeloAdam WilsbyGustav Lindstrom
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tim GettingerRodrigo AbolsSam ColangeloAdam WilsbyGustav Lindstrom
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Dino Kambeitz, John Hayden, Liam O'BrienDino Kambeitz, John HaydenLiam O'Brien
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Domenick Fensore, Kyle Capobianco, John LudvigDomenick FensoreKyle Capobianco, John Ludvig
Tirs de pénalité
Sam Colangelo, Rodrigo Abols, Tim Gettinger, Cameron Hughes, John Hayden
Gardien
#1 : Matt D. Murray, #2 : Chris Driedger


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
1Bears1010000024-21010000024-20000000000000.00023500515126730520483426272861221200.00%5180.00%0889163754.31%842162251.91%36570451.85%10957501049330576289
2Canucks21100000330211000003300000000000020.50034701515126760520483426278313283910110.00%13284.62%0889163754.31%842162251.91%36570451.85%10957501049330576289
3Checkers21001000844110000003031000100054141.000815230151512679652048342627601218636116.67%8187.50%0889163754.31%842162251.91%36570451.85%10957501049330576289
4Condors11000000624000000000001100000062421.000611170051512674052048342627201018223266.67%20100.00%0889163754.31%842162251.91%36570451.85%10957501049330576289
5Crunch11000000431110000004310000000000021.000481200515126734520483426272710628200.00%3233.33%0889163754.31%842162251.91%36570451.85%10957501049330576289
6Eagles3010011069-3200001104401010000025-330.5006101600515126793520483426278621347411218.18%17570.59%0889163754.31%842162251.91%36570451.85%10957501049330576289
7Firebirds11000000523000000000001100000052321.0005813005151267385204834262718101022000%4175.00%0889163754.31%842162251.91%36570451.85%10957501049330576289
8Griffins11000000431000000000001100000043121.00048120051512672152048342627401414282150.00%7185.71%0889163754.31%842162251.91%36570451.85%10957501049330576289
9Gulls1000000134-11000000134-10000000000010.50036900515126743520483426273398353133.33%40100.00%0889163754.31%842162251.91%36570451.85%10957501049330576289
10Heat312000001214-2211000009811010000036-320.3331222340051512671005204834262711137307418527.78%15473.33%0889163754.31%842162251.91%36570451.85%10957501049330576289
11IceHogs2020000047-31010000024-21010000023-100.000471100515126756520483426276322163710220.00%8187.50%1889163754.31%842162251.91%36570451.85%10957501049330576289
12Marlies2020000036-31010000024-21010000012-100.0003580051512677052048342627682929556233.33%11190.91%0889163754.31%842162251.91%36570451.85%10957501049330576289
13Monsters11000000211110000002110000000000021.0002460051512673252048342627162822400.00%30100.00%0889163754.31%842162251.91%36570451.85%10957501049330576289
14Moose22000000624110000003121100000031241.0006101600515126773520483426274614245710110.00%11281.82%1889163754.31%842162251.91%36570451.85%10957501049330576289
15Penguins20100010990100000104311010000056-120.500914230051512676452048342627741816457342.86%8450.00%0889163754.31%842162251.91%36570451.85%10957501049330576289
16Phantoms2020000048-41010000025-31010000023-100.0004812005151267655204834262756182044800.00%10460.00%0889163754.31%842162251.91%36570451.85%10957501049330576289
17Reign11000000312110000003120000000000021.000358005151267255204834262734414203266.67%70100.00%0889163754.31%842162251.91%36570451.85%10957501049330576289
18Roadrunners2020000048-41010000023-11010000025-300.0004610005151267485204834262784224343500.00%14378.57%0889163754.31%842162251.91%36570451.85%10957501049330576289
19Rocket1010000023-1000000000001010000023-100.000246005151267275204834262726121223200.00%40100.00%0889163754.31%842162251.91%36570451.85%10957501049330576289
20Senators1010000024-2000000000001010000024-200.000246005151267235204834262731178224250.00%30100.00%0889163754.31%842162251.91%36570451.85%10957501049330576289
21Silver Knights1010000013-2000000000001010000013-200.00012300515126723520483426274911202411100.00%10370.00%0889163754.31%842162251.91%36570451.85%10957501049330576289
22Sound Tigers11000000624110000006240000000000021.000612180051512673752048342627308272511100.00%40100.00%0889163754.31%842162251.91%36570451.85%10957501049330576289
23Stars22000000844220000008440000000000041.0008132100515126771520483426274621163214321.43%8275.00%0889163754.31%842162251.91%36570451.85%10957501049330576289
24Thunderbirds31100010550100000103212110000023-140.667581301515126793520483426279022296412325.00%120100.00%0889163754.31%842162251.91%36570451.85%10957501049330576289
25Wild21100000963000000000002110000096320.500916250051512676752048342627701822513133.33%9188.89%1889163754.31%842162251.91%36570451.85%10957501049330576289
26Wolf Pack211000005411010000034-11100000020220.5005914015151267475204834262774252446700.00%12375.00%0889163754.31%842162251.91%36570451.85%10957501049330576289
27Wolves22000000624110000003121100000031241.0006101600515126768520483426276924155510330.00%50100.00%0889163754.31%842162251.91%36570451.85%10957501049330576289
Total451920011311321239241180013171611021812010006162-1480.533132232364045151267144452048342627143242952110711643722.56%2174181.11%3889163754.31%842162251.91%36570451.85%10957501049330576289
_Since Last GM Reset451920011311321239241180013171611021812010006162-1480.533132232364045151267144452048342627143242952110711643722.56%2174181.11%3889163754.31%842162251.91%36570451.85%10957501049330576289
_Vs Conference2611110012175705146400121403461257000003536-1280.53875128203025151267830520483426278332343125941032423.30%1342482.09%3889163754.31%842162251.91%36570451.85%10957501049330576289
_Vs Division166700120424118320012022184835000002023-3170.531427011201515126750152048342627485140184358651218.46%791482.28%3889163754.31%842162251.91%36570451.85%10957501049330576289

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4548L213223236414441432429521107104
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4519201131132123
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2411801317161
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2181210006162
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1643722.56%2174181.11%3
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
520483426275151267
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
889163754.31%842162251.91%36570451.85%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10957501049330576289


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 - 2025-10-0916Monsters1Admirals2WSommaire du match
5 - 2025-10-1132Roadrunners3Admirals2LSommaire du match
7 - 2025-10-1341Admirals2Senators4LSommaire du match
8 - 2025-10-1449Admirals1Marlies2LSommaire du match
10 - 2025-10-1662Admirals2Rocket3LSommaire du match
12 - 2025-10-1884Admirals3Moose1WSommaire du match
15 - 2025-10-21105Gulls4Admirals3LXXSommaire du match
17 - 2025-10-23118Canucks3Admirals2LSommaire du match
19 - 2025-10-25137Reign1Admirals3WSommaire du match
20 - 2025-10-26145Stars1Admirals3WSommaire du match
22 - 2025-10-28156Crunch3Admirals4WSommaire du match
24 - 2025-10-30170Admirals2Phantoms3LSommaire du match
26 - 2025-11-01183Heat7Admirals3LSommaire du match
28 - 2025-11-03201Canucks0Admirals1WSommaire du match
29 - 2025-11-04208Admirals3Wild4LSommaire du match
31 - 2025-11-06223Phantoms5Admirals2LSommaire du match
33 - 2025-11-08233Stars3Admirals5WSommaire du match
35 - 2025-11-10253Admirals2Wolf Pack0WSommaire du match
39 - 2025-11-14281Penguins3Admirals4WXXSommaire du match
41 - 2025-11-16296Admirals5Penguins6LSommaire du match
47 - 2025-11-22343Eagles1Admirals2WXXSommaire du match
49 - 2025-11-24357Checkers0Admirals3WSommaire du match
51 - 2025-11-26361Admirals4Griffins3WSommaire du match
53 - 2025-11-28389Admirals2IceHogs3LSommaire du match
54 - 2025-11-29397Moose1Admirals3WSommaire du match
57 - 2025-12-02416Heat1Admirals6WSommaire du match
59 - 2025-12-04429Admirals5Checkers4WXSommaire du match
61 - 2025-12-06447Admirals3Wolves1WSommaire du match
64 - 2025-12-09475Eagles3Admirals2LXSommaire du match
66 - 2025-12-11487Thunderbirds2Admirals3WXXSommaire du match
68 - 2025-12-13506Admirals2Eagles5LSommaire du match
70 - 2025-12-15517Admirals0Thunderbirds3LSommaire du match
72 - 2025-12-17532Wolves1Admirals3WSommaire du match
75 - 2025-12-20558Marlies4Admirals2LSommaire du match
76 - 2025-12-21567Wolf Pack4Admirals3LSommaire du match
78 - 2025-12-23582Admirals6Wild2WSommaire du match
82 - 2025-12-27595Admirals2Thunderbirds0WSommaire du match
84 - 2025-12-29612Admirals2Roadrunners5LSommaire du match
86 - 2025-12-31623Admirals1Silver Knights3LSommaire du match
87 - 2026-01-01638Admirals5Firebirds2WSommaire du match
89 - 2026-01-03654Admirals3Heat6LSommaire du match
92 - 2026-01-06674Admirals6Condors2WSommaire du match
94 - 2026-01-08689Sound Tigers2Admirals6WSommaire du match
96 - 2026-01-10707IceHogs4Admirals2LSommaire du match
97 - 2026-01-11713Bears4Admirals2LSommaire du match
99 - 2026-01-13731Condors-Admirals-
102 - 2026-01-16752Admirals-Eagles-
103 - 2026-01-17765Admirals-Silver Knights-
106 - 2026-01-20784Americans-Admirals-
108 - 2026-01-22798Senators-Admirals-
110 - 2026-01-24811Roadrunners-Admirals-
113 - 2026-01-27830Admirals-Bruins-
115 - 2026-01-29848Admirals-Comets-
117 - 2026-01-31867Admirals-Sound Tigers-
119 - 2026-02-02880Thunderbirds-Admirals-
121 - 2026-02-04896Wild-Admirals-
122 - 2026-02-05908Admirals-Bears-
143 - 2026-02-26926IceHogs-Admirals-
145 - 2026-02-28945Admirals-Stars-
147 - 2026-03-02955Griffins-Admirals-
148 - 2026-03-03963Admirals-Monsters-
150 - 2026-03-05979Bruins-Admirals-
152 - 2026-03-07992Admirals-Americans-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155 - 2026-03-101024Admirals-Firebirds-
157 - 2026-03-121038Admirals-Canucks-
160 - 2026-03-151061Admirals-Condors-
162 - 2026-03-171071Admirals-Moose-
164 - 2026-03-191087Firebirds-Admirals-
166 - 2026-03-211100Silver Knights-Admirals-
167 - 2026-03-221113Admirals-IceHogs-
169 - 2026-03-241129Barracuda-Admirals-
171 - 2026-03-261144Comets-Admirals-
173 - 2026-03-281161Rocket-Admirals-
174 - 2026-03-291168Admirals-Crunch-
178 - 2026-04-021204Admirals-Reign-
180 - 2026-04-041220Admirals-Barracuda-
182 - 2026-04-061232Admirals-Reign-
183 - 2026-04-071243Admirals-Gulls-
185 - 2026-04-091257Admirals-Roadrunners-
187 - 2026-04-111267Wild-Admirals-
189 - 2026-04-131287Barracuda-Admirals-
192 - 2026-04-161307Gulls-Admirals-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets3528
Assistance54,00036,000
Assistance PCT75.00%75.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
17 3750 - 75.00% 176,295$4,231,080$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,373,893$ 2,227,544$ 2,227,544$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,120,058$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,997,015$ 95 14,132$ 1,342,540$




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