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Admirals
GP: 82 | W: 54 | L: 23 | OTL: 5 | P: 113
GF: 303 | GA: 223 | PP%: 19.48% | PK%: 83.97%
DG: Patrick Rodrigue | Morale : 82 | Moyenne d’équipe : 63

Centre de jeu
Barracuda
46-34-2, 94pts
4
3 Admirals
54-23-5, 113pts
Team Stats
L2SéquenceW1
22-18-1Fiche domicile27-11-3
24-16-1Fiche domicile27-12-2
4-6-0Derniers 10 matchs9-1-0
3.72Buts par match 3.70
3.76Buts contre par match 2.72
23.53%Pourcentage en avantage numérique19.48%
74.49%Pourcentage en désavantage numérique83.97%
San Diego Gulls
47-27-8, 102pts
2
5 Admirals
54-23-5, 113pts
Team Stats
L1SéquenceW1
21-15-5Fiche domicile27-11-3
26-12-3Fiche domicile27-12-2
5-5-0Derniers 10 matchs9-1-0
3.95Buts par match 3.70
3.63Buts contre par match 2.72
24.91%Pourcentage en avantage numérique19.48%
82.49%Pourcentage en désavantage numérique83.97%
Meneurs d'équipe
Ethen FrankButs
Ethen Frank
34
Artyom LevshunovPasses
Artyom Levshunov
50
Matt SavoiePoints
Matt Savoie
75
Elias D. PetterssonPlus/Moins
Elias D. Pettersson
46
Dustin WolfVictoires
Dustin Wolf
54
Dustin WolfPourcentage d’arrêts
Dustin Wolf
0.916

Statistiques d’équipe
Buts pour
303
3.70 GFG
Tirs pour
3107
37.89 Avg
Pourcentage en avantage numérique
19.5%
67 GF
Début de zone offensive
42.9%
Buts contre
223
2.72 GAA
Tirs contre
2638
32.17 Avg
Pourcentage en désavantage numérique
84.0%%
50 GA
Début de la zone défensive
39.3%
Informations de l'équipe

Directeur généralPatrick Rodrigue
EntraîneurLuke Richardson
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1Jonathan Lekkerimaki
Assistant #2Matt Savoie


Informations de l’aréna

Capacité3,000
Assistance2,829
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure21
Limite contact 51 / 60
Espoirs7


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
1Alex Steeves0X100.00743882677589856569636661646768090650261925,000$
2Ethen Frank0X100.006136926970858366636167626568690906502831,000,000$
3Logan Shaw0X100.007640876385878662676460656173780586503331,000,000$
4Walker Duehr0X100.007538946682757965616364626568700916502831,000,000$
5Nolan Foote (R)0X100.007239866383817265626163646265670916402531,000,000$
6Tyson Jost0XX100.006939816670798364726261636769680926402831,000,000$
7Jonathan Lekkerimaki (R) (A)0X100.006135956867867266596367627263660916402211,000,000$
8Joseph Blandisi0X100.006243636471828462706361606271730676303231,000,000$
9Jake Lucchini0X100.006138846370818762686061646270720646303131,000,000$
10Matt Savoie (R) (A)0X100.006037866667827465736463606261630916302211,000,000$
11Nate Danielson (R)0X100.006839856677817364696261615962640816302111,000,000$
12Anton Wahlberg (R)0X100.007339945982767358676061595660620916202111,000,000$
13Justin Robidas (R)0X100.006335956466857363716261606562640916202311,000,000$
14Isaac Ratcliffe0X100.008347705692707455575459585666680916102731,000,000$
15Jacob Bernard-Docker0X100.006741886577838164307063755265670956602631,000,000$
16Simon Nemec0X100.00643885707586856930716067526364098660221925,000$
17Philippe Myers0X100.008354746793847965306260665168700726502931,000,000$
18Dennis Gilbert0X100.007772706384787162306957644869710906402931,000,000$
19Artyom Levshunov (R)0X100.00714172648290726530676263526064092640202975,000$
20Elias D. Pettersson (R)0X100.006840746477787362306060634961630916202211,000,000$
21Joe Hicketts0X100.005537806164687759306457554769740916103031,000,000$
Rayé
1Lucas Ciona0XX100.007644665985748358535760555862640756102311,000,000$
2Chase Bradley (R)0X100.005838785968737156545863575663650206002431,000,000$
3Jakub Brabenec0X100.006437925973698058625661555862640276002211,000,000$
4Jonathan McDonald0X100.005637945771636556305459534667690205902831,000,000$
5Ryan O'Rourke0X100.006139745670658454305556574563650205802431,000,000$
MOYENNE D’ÉQUIPE100.0068418263767978625362616157656707663
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
1Dustin Wolf0100.0089928870888789888789886471092730256925,000$
2Pheonix Copley0100.00778176877675777675777673870736703431,000,000$
Rayé
1Dustin Tokarski0100.00748175747372747372747376900206503631,000,000$
2Luke Cavallin0100.00667369806564666564666565710516102531,000,000$
MOYENNE D’ÉQUIPE100.007782777876757776757776708005967
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Luke Richardson78747680847864CAN5632,500,000$


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
1Matt SavoieAdmirals (NSH)C8230457528120541532436719112.35%11142617.39121123602780000127151.68%128100001.0500000663
2Ethen FrankAdmirals (NSH)C77343771-160382292927222711.64%19140518.25811197220710192055449.65%213700021.0124000526
3Artyom LevshunovAdmirals (NSH)D8121507116151671041726611912.21%134205025.321116271073160222256120%000010.6900010532
4Tyson JostAdmirals (NSH)C/RW82274067154151331932578518710.51%24152218.57313164825820271556155.30%134900100.8802001433
5Alex SteevesAdmirals (NSH)C8119446311635229220277872116.86%26184422.78512176030700063102356.04%182000000.6812000244
6Jonathan LekkerimakiAdmirals (NSH)RW8234286217140531373318821510.27%18164320.054812662880003978153.54%22600020.7502000433
7Walker DuehrAdmirals (NSH)RW81263460293001291152568521510.16%9135316.711121354252000146258.33%10800000.8903000544
8Elias D. PetterssonAdmirals (NSH)D82134255467201366398295013.27%97121214.78771434117000057210%000000.9100000322
9Nolan FooteAdmirals (NSH)LW82262450294601091052308514611.30%27137216.74213134800021705050.75%13400000.7300000335
10Simon NemecAdmirals (NSH)D659404911606310114151946.38%81139121.4171421992050001178200%000000.7000000142
11Jacob Bernard-DockerAdmirals (NSH)D4012354713240816994406212.77%5790422.61310134599112496010%000011.0400000341
12Nate DanielsonAdmirals (NSH)C811329421012056123167451217.78%896111.870551084000082054.95%62600010.8700000340
13Dennis GilbertAdmirals (NSH)D828313981183021611016443854.88%120173521.166814982560110240000%000000.4500114131
14Joe HickettsAdmirals (NSH)D82326293016034402462312.50%54101412.37000190001135000%000000.5700000014
15Philippe MyersAdmirals (NSH)D5010182856951324393346110.75%58108121.63448461630111134100%000000.5200100311
16Justin RobidasAdmirals (NSH)C82813218409399025678.89%24905.9900000000002051.72%2900000.8600000101
17Logan ShawAdmirals (NSH)RW2351419106037286611437.58%038316.69011223000000062.82%15600000.9900000002
18Lucas CionaAdmirals (NSH)LW/RW70781532951013466223910.61%46729.6100002000000243.48%4600000.4500001003
19Anton WahlbergAdmirals (NSH)C82681454085252193711.54%63604.4000000000000154.96%39300000.7800000010
20Isaac RatcliffeAdmirals (NSH)LW826511812081224092315.00%24365.32000010112561035.48%3100000.5000000001
21Joseph BlandisiAdmirals (NSH)C3738111417529403513348.57%33008.1100000000182050.53%28300000.7300100000
22Hardy Haman AktellPredatorsD413691528047262782411.11%5271817.520001069000066100%000000.2500000000
23Jake LucchiniAdmirals (NSH)C3712320021313377.69%2661.8000000000000047.30%7400000.9000000000
24Ryan ReavesPredatorsLW/RW2022000763390%04723.9200012000070050.00%1400000.8401000000
25Rodwin DionicioPredatorsD66011738104913157150%183825.800000000000000%000000.0500110000
26Chase BradleyAdmirals (NSH)LW13000-120100120%0131.070000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne166532459091431374070200120783246100423079.98%8322479414.897313320682629944610402205531953.18%870700170.74314436494848
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
1Dustin WolfAdmirals (NSH)82542350.9162.6748716421725850000.58312820966
2Pheonix CopleyAdmirals (NSH)10001.0000360002400000037000
3Luke CavallinAdmirals (NSH)20000.8974.39410032900000045000
Statistiques d’équipe totales ou en moyenne85542350.9172.674949642202638000128282966


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
Alex SteevesAdmirals (NSH)C261999-12-10USANo202 Lbs183 CMNoNoFantasy DraftNoNo12025-08-17FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Anton WahlbergAdmirals (NSH)C212005-07-04SWEYes194 Lbs191 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Artyom LevshunovAdmirals (NSH)D202005-10-28BLRYes208 Lbs188 CMNoNoTrade2025-09-23NoNo22025-08-17FalseFalsePro & Farm975,000$0$0$No975,000$--------975,000$--------No--------Lien / Lien NHL
Chase BradleyAdmirals (NSH)LW242002-01-09USAYes180 Lbs180 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Dennis GilbertAdmirals (NSH)D291996-10-30USANo216 Lbs188 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Dustin TokarskiAdmirals (NSH)G361989-09-16CANNo198 Lbs183 CMNoNoFantasy DraftYesNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Dustin WolfAdmirals (NSH)G252001-04-16USANo166 Lbs183 CMNoNoTrade2025-09-04NoNo62026-03-26FalseFalsePro & Farm925,000$0$0$No5,543,000$5,543,000$5,543,000$5,543,000$5,543,000$----5,543,000$5,543,000$5,543,000$5,543,000$5,543,000$----NoNoNoNoNo----Lien / Lien NHL
Elias D. PetterssonAdmirals (NSH)D222004-02-16SWEYes185 Lbs188 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Ethen FrankAdmirals (NSH)C281998-02-05USANo188 Lbs180 CMNoNoTrade2026-03-07NoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Isaac RatcliffeAdmirals (NSH)LW271999-02-15CANNo200 Lbs198 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Jacob Bernard-DockerAdmirals (NSH)D262000-06-30CANNo198 Lbs185 CMNoNoTrade2026-03-07NoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Jake LucchiniAdmirals (NSH)C311995-05-09CANNo180 Lbs183 CMNoNoFantasy DraftYesNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Jakub BrabenecAdmirals (NSH)C222003-09-11CZENo180 Lbs185 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Joe HickettsAdmirals (NSH)D301996-05-04CANNo180 Lbs173 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Jonathan LekkerimakiAdmirals (NSH)RW222004-07-24SWEYes172 Lbs180 CMNoNoTrade2025-09-03NoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Jonathan McDonaldAdmirals (NSH)D281998-06-15USANo183 Lbs183 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Joseph BlandisiAdmirals (NSH)C321994-07-18CANNo184 Lbs183 CMNoNoFantasy DraftYesNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Justin RobidasAdmirals (NSH)C232003-03-13CANYes176 Lbs173 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Logan ShawAdmirals (NSH)RW331992-10-05CANNo208 Lbs191 CMNoNoFantasy DraftYesNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Lucas CionaAdmirals (NSH)LW/RW232003-01-08CANNo210 Lbs191 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Luke CavallinAdmirals (NSH)G252001-04-29CANNo196 Lbs188 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Matt SavoieAdmirals (NSH)C222004-01-01CANYes179 Lbs175 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Nate DanielsonAdmirals (NSH)C212004-09-27CANYes185 Lbs188 CMNoNoTrade2025-10-20NoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Nolan FooteAdmirals (NSH)LW252000-11-29CANYes196 Lbs191 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Pheonix CopleyAdmirals (NSH)G341992-01-18USANo205 Lbs193 CMNoNoFantasy DraftYesNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Philippe MyersAdmirals (NSH)D291997-01-25CANNo219 Lbs196 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Ryan O'RourkeAdmirals (NSH)D242002-05-16CANNo178 Lbs183 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Simon NemecAdmirals (NSH)D222004-02-15SVKNo190 Lbs185 CMNoNoTrade2025-09-02NoNo12025-08-17FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Tyson JostAdmirals (NSH)C/RW281998-03-14CANNo187 Lbs180 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Walker DuehrAdmirals (NSH)RW281997-11-23USANo210 Lbs188 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3026.20192 Lbs185 CM2.40991,667$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nolan FooteAlex SteevesLogan Shaw40122
2Matt SavoieTyson JostWalker Duehr30122
3Nate DanielsonJoseph BlandisiJonathan Lekkerimaki20122
4Justin RobidasJake LucchiniNolan Foote10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Simon NemecPhilippe Myers40122
2Dennis GilbertArtyom Levshunov30122
3Elias D. PetterssonJacob Bernard-Docker20122
4Artyom LevshunovSimon Nemec10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonathan LekkerimakiAlex SteevesWalker Duehr60122
2Nate DanielsonTyson JostMatt Savoie40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Simon NemecArtyom Levshunov60122
2Dennis GilbertPhilippe Myers40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Alex SteevesNolan Foote60122
2Tyson JostIsaac Ratcliffe40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Simon NemecPhilippe Myers60122
2Dennis GilbertArtyom Levshunov40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Alex Steeves60122Simon NemecPhilippe Myers60122
2Tyson Jost40122Dennis GilbertArtyom Levshunov40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alex SteevesJonathan Lekkerimaki60122
2Tyson JostWalker Duehr40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Simon NemecPhilippe Myers60122
2Dennis GilbertArtyom Levshunov40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nolan FooteAlex SteevesLogan ShawSimon NemecPhilippe Myers
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nolan FooteAlex SteevesLogan ShawSimon NemecPhilippe Myers
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jonathan Lekkerimaki, Nolan Foote, Joseph BlandisiJonathan Lekkerimaki, Nolan FooteJonathan Lekkerimaki
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Elias D. Pettersson, Simon Nemec, Artyom LevshunovElias D. PetterssonElias D. Pettersson, Joe Hicketts
Tirs de pénalité
Logan Shaw, Walker Duehr, Alex Steeves, Tyson Jost, Jonathan Lekkerimaki
Gardien
#1 : Dustin Wolf, #2 : Pheonix Copley
Lignes d’attaque personnalisées en prolongation
Logan Shaw, Walker Duehr, Alex Steeves, Tyson Jost, Jonathan Lekkerimaki, Nolan Foote, Joseph Blandisi, Jake Lucchini, Matt Savoie, Nate Danielson
Lignes de défense personnalisées en prolongation
Simon Nemec, Philippe Myers, Dennis Gilbert, Artyom Levshunov, Elias D. Pettersson


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
1Abbotsford Canucks321000008532110000034-11100000051440.667815230013291747117100710111063387625246317423.53%11281.82%01840328356.05%1617300653.79%731135953.79%2127149817835901042537
2Barracuda321000001293211000008621100000043140.6671224360013291747132100710111063387723186814428.57%90100.00%01840328356.05%1617300653.79%731135953.79%2127149817835901042537
3Bears2010010047-31000010034-11010000013-210.25048120013291747831007101110633862282051800.00%9188.89%01840328356.05%1617300653.79%731135953.79%2127149817835901042537
4Belleville Senators211000008801010000025-31100000063320.5008152300132917476910071011106338802321537114.29%80100.00%01840328356.05%1617300653.79%731135953.79%2127149817835901042537
5Bridgeport Islanders211000005501010000013-21100000042220.5005101500132917477910071011106338641916481317.69%8275.00%01840328356.05%1617300653.79%731135953.79%2127149817835901042537
6Bruins22000000642110000002111100000043141.0006121800132917476710071011106338612520477228.57%10190.00%01840328356.05%1617300653.79%731135953.79%2127149817835901042537
7Calgary Wranglers321000001394220000009451010000045-140.6671325380013291747129100710111063381073535739222.22%8187.50%01840328356.05%1617300653.79%731135953.79%2127149817835901042537
8Charlotte Checkers210010001064110000006331000100043141.00010182800132917479010071011106338492084513215.38%3166.67%01840328356.05%1617300653.79%731135953.79%2127149817835901042537
9Chicago Wolves2110000046-21010000014-31100000032120.500481200132917477510071011106338642016559222.22%70100.00%01840328356.05%1617300653.79%731135953.79%2127149817835901042537
10Coachella Valley Firebirds311000011011-1110000003212010000179-230.5001017270013291747136100710111063381223040757114.29%9188.89%01840328356.05%1617300653.79%731135953.79%2127149817835901042537
11Colorado Eagles4220000014140220000009542020000059-440.5001428420013291747115100710111063381505148961119.09%19573.68%01840328356.05%1617300653.79%731135953.79%2127149817835901042537
12Condors31101000761100010004312110000033040.667713200013291747110100710111063389833301007114.29%13284.62%01840328356.05%1617300653.79%731135953.79%2127149817835901042537
13Griffins21001000936110000006151000100032141.0009172600132917477910071011106338723118439333.33%9188.89%01840328356.05%1617300653.79%731135953.79%2127149817835901042537
14Henderson Silver Knights3210000014104110000005232110000098140.6671424380013291747101100710111063389929368511436.36%17288.24%11840328356.05%1617300653.79%731135953.79%2127149817835901042537
15IceHogs44000000221572200000013852200000097281.000224062001329174714210071011106338137283110117317.65%130100.00%01840328356.05%1617300653.79%731135953.79%2127149817835901042537
16Laval Rocket220000001138110000003031100000083541.0001119300113291747691007101110633858208449111.11%30100.00%01840328356.05%1617300653.79%731135953.79%2127149817835901042537
17Monsters211000006331010000013-21100000050520.500610160113291747871007101110633849111155300.00%3166.67%01840328356.05%1617300653.79%731135953.79%2127149817835901042537
18Moose3120000010821010000012-12110000096320.3331018280013291747107100710111063389321207211327.27%9277.78%01840328356.05%1617300653.79%731135953.79%2127149817835901042537
19Ontario Reign3200000115781000000134-122000000123950.8331528430013291747127100710111063388524205411327.27%9277.78%01840328356.05%1617300653.79%731135953.79%2127149817835901042537
20Penguins2010000136-31010000024-21000000112-110.25035800132917477610071011106338571913439111.11%40100.00%01840328356.05%1617300653.79%731135953.79%2127149817835901042537
21Phantoms20200000511-61010000035-21010000026-400.000581300132917475510071011106338642624544125.00%12558.33%01840328356.05%1617300653.79%731135953.79%2127149817835901042537
22Rochester Americans22000000954110000005411100000041341.00091726001329174797100710111063386814405010220.00%13376.92%01840328356.05%1617300653.79%731135953.79%2127149817835901042537
23San Diego Gulls321000001174211000007521100000042240.667112031001329174710710071011106338822325581300.00%10190.00%01840328356.05%1617300653.79%731135953.79%2127149817835901042537
24Syracruse Crunch210001007431000010023-11100000051430.7507132000132917476410071011106338672716519222.22%8275.00%11840328356.05%1617300653.79%731135953.79%2127149817835901042537
25Texas Stars320010001376210010009451100000043161.0001324370013291747971007101110633813030307114321.43%15380.00%01840328356.05%1617300653.79%731135953.79%2127149817835901042537
26Thunderbirds4310000015962200000010462110000055060.75015284301132917471281007101110633811236308422522.73%15286.67%01840328356.05%1617300653.79%731135953.79%2127149817835901042537
27Toronto Marlies21100000550110000003121010000024-220.500591400132917475410071011106338611222409111.11%110100.00%11840328356.05%1617300653.79%731135953.79%2127149817835901042537
28Tucson Roadrunners430010001697210010008622200000083581.00016314700132917471411007101110633814343329426623.08%16287.50%01840328356.05%1617300653.79%731135953.79%2127149817835901042537
29Utica Comets22000000826110000003031100000052341.00081624011329174710410071011106338431414485240.00%60100.00%01840328356.05%1617300653.79%731135953.79%2127149817835901042537
30Wild4310000016124211000009812200000074360.75016284400132917471931007101110633814029329621523.81%15660.00%01840328356.05%1617300653.79%731135953.79%2127149817835901042537
31Wolf Pack20101000770100010005411010000023-120.5007121900132917477710071011106338682122399111.11%10280.00%01840328356.05%1617300653.79%731135953.79%2127149817835901042537
Total8248230620330322380412311042011491123741251202002154111431130.6893035608630413291747310710071011106338263879074019563446719.48%3125083.97%31840328356.05%1617300653.79%731135953.79%2127149817835901042537
_Since Last GM Reset8248230620330322380412311042011491123741251202002154111431130.6893035608630413291747310710071011106338263879074019563446719.48%3125083.97%31840328356.05%1617300653.79%731135953.79%2127149817835901042537
_Vs Conference5032130300219613858251650300110167342516800001957124720.7201963635590113291747188210071011106338165146045111902114521.33%1883183.51%11840328356.05%1617300653.79%731135953.79%2127149817835901042537
_Vs Division26186020001067432139202000593722139400000473710400.7691061973030113291747923100710111063389052382236141222621.31%1022080.39%01840328356.05%1617300653.79%731135953.79%2127149817835901042537

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82113W130356086331072638790740195604
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8248236203303223
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4123114201149112
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4125122002154111
Derniers 10 matchs
WLOTWOTL SOWSOL
910000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3446719.48%3125083.97%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
1007101110633813291747
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
1840328356.05%1617300653.79%731135953.79%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2127149817835901042537


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 - 2025-09-2816Monsters3Admirals1LSommaire du match
5 - 2025-09-3032Tucson Roadrunners2Admirals3WSommaire du match
7 - 2025-10-0241Admirals6Belleville Senators3WSommaire du match
8 - 2025-10-0349Admirals2Toronto Marlies4LSommaire du match
10 - 2025-10-0562Admirals8Laval Rocket3WSommaire du match
12 - 2025-10-0784Admirals6Moose2WSommaire du match
15 - 2025-10-10105San Diego Gulls3Admirals2LSommaire du match
17 - 2025-10-12118Abbotsford Canucks2Admirals0LSommaire du match
19 - 2025-10-14137Ontario Reign4Admirals3LXXSommaire du match
20 - 2025-10-15145Texas Stars1Admirals5WSommaire du match
22 - 2025-10-17156Syracruse Crunch3Admirals2LXSommaire du match
24 - 2025-10-19170Admirals2Phantoms6LSommaire du match
26 - 2025-10-21183Calgary Wranglers2Admirals4WSommaire du match
28 - 2025-10-23201Abbotsford Canucks2Admirals3WSommaire du match
29 - 2025-10-24208Admirals3Wild2WSommaire du match
31 - 2025-10-26223Phantoms5Admirals3LSommaire du match
33 - 2025-10-28233Texas Stars3Admirals4WXSommaire du match
35 - 2025-10-30253Admirals2Wolf Pack3LSommaire du match
39 - 2025-11-03281Penguins4Admirals2LSommaire du match
41 - 2025-11-05296Admirals1Penguins2LXXSommaire du match
47 - 2025-11-11343Colorado Eagles2Admirals5WSommaire du match
49 - 2025-11-13357Charlotte Checkers3Admirals6WSommaire du match
51 - 2025-11-15361Admirals3Griffins2WXSommaire du match
53 - 2025-11-17389Admirals4IceHogs3WSommaire du match
54 - 2025-11-18397Moose2Admirals1LSommaire du match
57 - 2025-11-21416Calgary Wranglers2Admirals5WSommaire du match
59 - 2025-11-23429Admirals4Charlotte Checkers3WXSommaire du match
61 - 2025-11-25447Admirals3Chicago Wolves2WSommaire du match
64 - 2025-11-28475Colorado Eagles3Admirals4WSommaire du match
66 - 2025-11-30487Thunderbirds2Admirals3WSommaire du match
68 - 2025-12-02506Admirals4Colorado Eagles5LSommaire du match
70 - 2025-12-04517Admirals2Thunderbirds5LSommaire du match
72 - 2025-12-06532Chicago Wolves4Admirals1LSommaire du match
75 - 2025-12-09558Toronto Marlies1Admirals3WSommaire du match
76 - 2025-12-10567Wolf Pack4Admirals5WXSommaire du match
78 - 2025-12-12582Admirals4Wild2WSommaire du match
82 - 2025-12-16595Admirals3Thunderbirds0WSommaire du match
84 - 2025-12-18612Admirals3Tucson Roadrunners1WSommaire du match
86 - 2025-12-20623Admirals3Henderson Silver Knights4LSommaire du match
87 - 2025-12-21638Admirals2Coachella Valley Firebirds3LXXSommaire du match
89 - 2025-12-23654Admirals4Calgary Wranglers5LSommaire du match
92 - 2025-12-26674Admirals2Condors1WSommaire du match
94 - 2025-12-28689Bridgeport Islanders3Admirals1LSommaire du match
96 - 2025-12-30707IceHogs3Admirals7WSommaire du match
97 - 2025-12-31713Bears4Admirals3LXSommaire du match
99 - 2026-01-02731Condors3Admirals4WXSommaire du match
102 - 2026-01-05752Admirals1Colorado Eagles4LSommaire du match
103 - 2026-01-06765Admirals6Henderson Silver Knights4WSommaire du match
106 - 2026-01-09784Rochester Americans4Admirals5WSommaire du match
108 - 2026-01-11798Belleville Senators5Admirals2LSommaire du match
110 - 2026-01-13811Tucson Roadrunners4Admirals5WXSommaire du match
113 - 2026-01-16830Admirals4Bruins3WSommaire du match
115 - 2026-01-18848Admirals5Utica Comets2WSommaire du match
117 - 2026-01-20867Admirals4Bridgeport Islanders2WSommaire du match
119 - 2026-01-22880Thunderbirds2Admirals7WSommaire du match
121 - 2026-01-24896Wild4Admirals3LSommaire du match
122 - 2026-01-25908Admirals1Bears3LSommaire du match
143 - 2026-02-15926IceHogs5Admirals6WSommaire du match
145 - 2026-02-17945Admirals4Texas Stars3WSommaire du match
147 - 2026-02-19955Griffins1Admirals6WSommaire du match
148 - 2026-02-20963Admirals5Monsters0WSommaire du match
150 - 2026-02-22979Bruins1Admirals2WSommaire du match
152 - 2026-02-24992Admirals4Rochester Americans1WSommaire du match
155 - 2026-02-271024Admirals5Coachella Valley Firebirds6LSommaire du match
157 - 2026-03-011038Admirals5Abbotsford Canucks1WSommaire du match
160 - 2026-03-041061Admirals1Condors2LSommaire du match
162 - 2026-03-061071Admirals3Moose4LSommaire du match
164 - 2026-03-081087Coachella Valley Firebirds2Admirals3WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
166 - 2026-03-101100Henderson Silver Knights2Admirals5WSommaire du match
167 - 2026-03-111113Admirals5IceHogs4WSommaire du match
169 - 2026-03-131129Barracuda2Admirals5WSommaire du match
171 - 2026-03-151144Utica Comets0Admirals3WSommaire du match
173 - 2026-03-171161Laval Rocket0Admirals3WSommaire du match
174 - 2026-03-181168Admirals5Syracruse Crunch1WSommaire du match
178 - 2026-03-221204Admirals4Ontario Reign2WSommaire du match
180 - 2026-03-241220Admirals4Barracuda3WSommaire du match
182 - 2026-03-261232Admirals8Ontario Reign1WSommaire du match
183 - 2026-03-271243Admirals4San Diego Gulls2WSommaire du match
185 - 2026-03-291257Admirals5Tucson Roadrunners2WSommaire du match
187 - 2026-03-311267Wild4Admirals6WSommaire du match
189 - 2026-04-021287Barracuda4Admirals3LSommaire du match
192 - 2026-04-051307San Diego Gulls2Admirals5WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance78,04937,952
Assistance PCT95.18%92.57%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2829 - 94.31% 117,548$4,819,454$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
4,919,120$ 2,975,000$ 2,975,000$ 2,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,952,957$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 28,516$ 0$




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