Connexion

Admirals
GP: 29 | W: 12 | L: 16 | OTL: 1 | P: 25
GF: 72 | GA: 84 | PP%: 26.50% | PK%: 75.00%
DG: Tutelle | Morale : 40 | Moyenne d’équipe : 55
Prochains matchs #354 vs Stars
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Centre de jeu
Admirals
12-16-1, 25pts
4
FINAL
3 Eagles
16-8-5, 37pts
Team Stats
L1SéquenceL1
6-8-0Fiche domicile5-6-4
6-8-1Fiche domicile11-2-1
4-6-0Derniers 10 matchs3-4-3
2.48Buts par match 3.17
2.90Buts contre par match 2.93
26.50%Pourcentage en avantage numérique19.63%
75.00%Pourcentage en désavantage numérique85.51%
Condors
11-16-2, 24pts
4
FINAL
2 Admirals
12-16-1, 25pts
Team Stats
W2SéquenceL1
5-9-1Fiche domicile6-8-0
6-7-1Fiche domicile6-8-1
5-3-2Derniers 10 matchs4-6-0
2.90Buts par match 2.48
3.41Buts contre par match 2.90
23.00%Pourcentage en avantage numérique26.50%
77.88%Pourcentage en désavantage numérique75.00%
Stars
15-11-3, 33pts
2025-02-15
Admirals
12-16-1, 25pts
Statistiques d’équipe
SOW1SéquenceL1
5-7-2Fiche domicile6-8-0
10-4-1Fiche visiteur6-8-1
4-5-110 derniers matchs4-6-0
3.07Buts par match 2.48
3.07Buts contre par match 2.48
22.45%Pourcentage en avantage numérique26.50%
80.00%Pourcentage en désavantage numérique75.00%
Admirals
12-16-1, 25pts
2025-02-17
Stars
15-11-3, 33pts
Statistiques d’équipe
L1SéquenceSOW1
6-8-0Fiche domicile5-7-2
6-8-1Fiche visiteur10-4-1
4-6-010 derniers matchs4-5-1
2.48Buts par match 3.07
2.90Buts contre par match 3.07
26.50%Pourcentage en avantage numérique22.45%
75.00%Pourcentage en désavantage numérique80.00%
Admirals
12-16-1, 25pts
2025-02-19
Stars
15-11-3, 33pts
Statistiques d’équipe
L1SéquenceSOW1
6-8-0Fiche domicile5-7-2
6-8-1Fiche visiteur10-4-1
4-6-010 derniers matchs4-5-1
2.48Buts par match 3.07
2.90Buts contre par match 3.07
26.50%Pourcentage en avantage numérique22.45%
75.00%Pourcentage en désavantage numérique80.00%
Meneurs d'équipe
Mike ReillyButs
Mike Reilly
9
Mike ReillyPasses
Mike Reilly
15
Mike ReillyPoints
Mike Reilly
24
Colin MillerPlus/Moins
Colin Miller
8
Chris DriedgerVictoires
Chris Driedger
12
Chris DriedgerPourcentage d’arrêts
Chris Driedger
0.887

Statistiques d’équipe
Buts pour
72
2.48 GFG
Tirs pour
701
24.17 Avg
Pourcentage en avantage numérique
26.5%
31 GF
Début de zone offensive
40.5%
Buts contre
84
2.90 GAA
Tirs contre
746
25.72 Avg
Pourcentage en désavantage numérique
75.0%%
20 GA
Début de la zone défensive
39.8%
Informations de l'équipe

Directeur généralTutelle
EntraîneurIan Laperriere
DivisionAtlantic Division
ConférenceConférence EST
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro36
Équipe Mineure19
Limite contact 55 / 70
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
1Jansen Harkins0X99.00804582728076806745646067667060040670281850,000$
2Walker Duehr0X99.00724082718576706840656265676050040660282827,500$
3Kole Lind0X99.00634861716367656747675967665350040640272850,000$
4Andrew Poturalski0X100.00564369706072706545655863646558040630321762,500$
5Matthew Highmore0XX100.00544173656169676261625452605851040590292750,000$
6Luke Philp0X100.00554070656065625540515155575850040560302750,000$
7Patrick Guay (R)0XXX100.00554170656059565340515051565050040540231750,000$
8Josh Leivo0XX100.0011111111111111104060312750,000$
9Aidan Dudas0X100.0011111111111111104060241791,667$
10Erik Johnson0X98.007663817286839172406168787192820407403713,250,000$
11Mike Reilly0X97.006640777579868780407670737583730407403211,000,000$
12Chad Ruhwedel0X100.00754088747482876940636275688777040720351800,000$
13Colin Miller0X100.007440777479858472406567737183730407203311,850,000$
14Travis Hamonic0X100.006840677479848970406464746989790407203511,100,000$
Rayé
1Josh Anderson0XX96.008073667287869079507169707385750407303115,500,000$
2Noel Acciari0XX96.008240917579848769836364816983730407303412,000,000$
3Sam Carrick0XX96.00849060757883907481667075738575040730342850,000$
4Kale Clague0X94.00704588866882857255686869757868040720271775,000$
5Ben Jones0X94.00604664706369676662626161665350040630262750,000$
6Ethan Cardwell (R)0X94.00604565656465636544626254645050040610231925,000$
7Rory Kerins (R)0X77.49604073686363616361605958635050040610231846,667$
8Brett Murray0X100.0011111111111111104060271750,000$
9Cole Coskey0X100.0011111111111111104060251750,000$
10Luka Burzan0XXX100.0011111111111111104060251750,000$
11Blake Murray (R)0X100.0011111111111111104060232791,667$
12Noah Juulsen0X95.00774581748184826940666276687868040730281750,000$
13Kaiden Guhle0X100.006540827486857069406862706860500407002521,283,333$
14John Ludvig0X100.00717358748781656940626569695250040690252925,000$
15Ryker Evans (R)0X100.00654577757987657040686270695250040690241925,000$
16Vincent Iorio (R)0X100.00704369666863616240555570615050040630231863,333$
17Gavin Bayreuther0X100.00544169636366645640535060566558040590311750,000$
18Mitch Reinke0X100.00544172656066645640515261585850040590301750,000$
19Mason Millman0X100.00604170656459565440515061565050040580241870,000$
MOYENNE D’ÉQUIPE98.0055396058596260553951505554554904055
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
1Chris Driedger0100.00757175677374757475747265580407203113,500,000$
2Sebastian Cossa (R)0100.00716267767273757374706250500407002331,713,334$
Rayé
1Filip Lindberg0100.00111111111111104040252925,000$
MOYENNE D’ÉQUIPE100.004945484849495049504845393604049
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ian Laperriere7767626060551CAN511525,000$


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
1Mike ReillyAdmirals (NSH)D2991524-980355265364413.85%4378727.1665114088000060100%000000.6100000212
2Noah JuulsenAdmirals (NSH)D2941519-1933581625523467.27%4376226.2837103074000052100%000000.5000100102
3Kale ClagueAdmirals (NSH)RW2371118-92022527220579.72%452822.9727918680002272050.13%39700000.6800000021
4John LudvigAdmirals (NSH)D2131417-220052423713308.11%2751024.302791260000037110%000000.6700000302
5Jake BeanPredatorsD2131013-168024515319415.66%2952124.833582962000034000%000000.5000000000
6Andrew PoturalskiAdmirals (NSH)C294812-1140213736173311.11%348716.802354390000310142.11%22800000.4900000001
7Colin MillerAdmirals (NSH)D2939128200282324101412.50%1835412.21213732000148000%000100.6800000000
8Jansen HarkinsAdmirals (NSH)LW245611-4100354936153913.89%550421.041236530002342146.10%26900000.4400000100
9Ben JonesAdmirals (NSH)C282810-1212046404619314.35%457620.5923517690000280044.00%25000000.3500000101
10Erik JohnsonAdmirals (NSH)D8279-30014131691412.50%1421326.652241130000013000%000000.8400000010
11Noel AcciariAdmirals (NSH)C/RW753838017172852517.86%117124.56123722000061155.56%2700000.9300000030
12Sam CarrickAdmirals (NSH)C/RW743756031342862814.29%217825.45112626000020059.26%21600000.7900000110
13Josh AndersonAdmirals (NSH)LW/RW7426-26016142571316.00%017224.572246240000120038.71%6200000.7000000100
14Kole LindAdmirals (NSH)RW23336-12100181723121913.04%433014.39112533000041042.65%6800000.3600000000
15Ethan CardwellAdmirals (NSH)RW2833616017122541112.00%040514.480227390000120037.82%15600000.3000000011
16Chad RuhwedelAdmirals (NSH)D80552201517147110%820025.0102262800004000%000000.5000000000
17Walker DuehrAdmirals (NSH)RW27145-122031274711302.13%448317.9002211580000360136.23%6900000.2100000010
18Rory KerinsAdmirals (NSH)C22314-1201917155920.00%026412.04011325000092050.70%7100000.3000000020
19Luke PhilpAdmirals (NSH)C26213-3201919123916.67%232112.360114490001260044.21%19000000.1900000000
20Matthew HighmoreAdmirals (NSH)LW/RW29123-7601018172155.88%248016.550002570000310042.50%16000000.1200000001
21Travis HamonicAdmirals (NSH)D8101-1001040025.00%1303.790000100001000%000000.6600000000
22Ryker EvansAdmirals (NSH)D21011-200175110%2703.350112200007000%000000.2800000000
23Brett MurrayAdmirals (NSH)LW4000-300200000%0307.650000200003000%10000000000000
24Josh LeivoAdmirals (NSH)LW/RW1000000000000%01212.170000100000000%00000000000000
25Aidan DudasAdmirals (NSH)C18000-100010000%0402.260000500002003.57%280000000000000
26Cole CoskeyAdmirals (NSH)RW11000-100000000%0363.290000300000000%40000000000000
27Luka BurzanAdmirals (NSH)C/LW/RW8000-100100000%0283.5200002000040025.00%40000000000000
28Vincent IorioAdmirals (NSH)D4000000000000%000.140000000000000%00000000000000
29Patrick GuayAdmirals (NSH)C/LW/RW22000-500122020%1783.5700004000040025.00%40000000000000
Statistiques d’équipe totales ou en moyenne52269131200-117167555762368524452210.07%217858116.44305787233968000653811545.37%220400100.4700100101211
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
1Chris DriedgerAdmirals (NSH)29121610.8872.891744228474600000290201
Statistiques d’équipe totales ou en moyenne29121610.8872.89174422847460000290201


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
Aidan DudasAdmirals (NSH)C242000-06-15CANNo170 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm791,667$0$0$No---------------------------Lien
Andrew PoturalskiAdmirals (NSH)C321993-01-14USANo185 Lbs5 ft10NoNoN/AYesYes1FalseFalsePro & Farm762,500$0$0$No---------------------------Lien NHL
Ben Jones (sur la masse salariale)Admirals (NSH)C261998-02-26CANNo190 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien NHL
Blake MurrayAdmirals (NSH)C232001-07-05CANYes187 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm791,667$0$0$No791,667$--------791,667$--------No--------
Brett MurrayAdmirals (NSH)LW271997-07-20CANNo235 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien NHL
Chad RuhwedelAdmirals (NSH)D351989-05-07USANo191 Lbs5 ft11NoNoAssign ManuallyYesYes12024-11-11FalseFalsePro & Farm800,000$0$0$No---------------------------Lien NHL
Chris DriedgerAdmirals (NSH)G311993-05-18CANNo207 Lbs6 ft4NoNoN/ANoNo12024-08-24FalseFalsePro & Farm3,500,000$0$0$No---------------------------Lien NHL
Cole CoskeyAdmirals (NSH)RW251999-06-01USANo190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Colin MillerAdmirals (NSH)D331991-10-29CANNo200 Lbs6 ft1NoNoTrade2024-12-28YesYes1FalseFalsePro & Farm1,850,000$0$0$No---------------------------Lien NHL
Erik JohnsonAdmirals (NSH)D371987-03-21USANo225 Lbs6 ft4NoNoAssign ManuallyYesYes12024-11-11FalseFalsePro & Farm3,250,000$0$0$No---------------------------Lien NHL
Ethan Cardwell (sur la masse salariale)Admirals (NSH)RW232001-08-30CANYes195 Lbs5 ft11NoNoProspectNoNo12024-08-24FalseFalsePro & Farm925,000$0$0$No---------------------------
Filip LindbergAdmirals (NSH)G252000-01-31FINNo180 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Gavin BayreutherAdmirals (NSH)D311993-05-12USANo196 Lbs6 ft1NoNoN/AYesYes1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien NHL
Jansen HarkinsAdmirals (NSH)LW281996-05-23USANo197 Lbs6 ft2NoNoN/ANoNo12024-08-24FalseFalsePro & Farm850,000$0$0$No---------------------------Lien NHL
John LudvigAdmirals (NSH)D251999-08-02CZENo213 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------
Josh AndersonAdmirals (NSH)LW/RW311993-05-07CANNo224 Lbs6 ft3NoNoN/AYesYes1FalseFalsePro & Farm5,500,000$0$0$No---------------------------Lien NHL
Josh LeivoAdmirals (NSH)LW/RW311993-05-26CANNo192 Lbs6 ft2NoNoN/AYesYes2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
Kaiden GuhleAdmirals (NSH)D252000-01-29CANNo201 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,283,333$0$0$No1,283,333$--------1,283,333$--------No--------
Kale Clague (sur la masse salariale)Admirals (NSH)RW271997-09-29USANo153 Lbs5 ft8NoNoN/ANoNo12024-08-24FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Kole LindAdmirals (NSH)RW271997-10-16CANNo186 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------Lien NHL
Luka BurzanAdmirals (NSH)C/LW/RW252000-01-07CANNo183 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Luke PhilpAdmirals (NSH)C301994-11-06CANNo185 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien NHL
Mason MillmanAdmirals (NSH)D242000-07-18CANNo186 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm870,000$0$0$No---------------------------
Matthew HighmoreAdmirals (NSH)LW/RW291995-02-27CANNo187 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien NHL
Mike ReillyAdmirals (NSH)D321992-07-13USANo196 Lbs6 ft1NoNoN/AYesYes12024-08-24FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien NHL
Mitch ReinkeAdmirals (NSH)D301995-02-04USANo181 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien NHL
Noah JuulsenAdmirals (NSH)D281996-04-02CANNo201 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien NHL
Noel AcciariAdmirals (NSH)C/RW341990-12-01USANo209 Lbs5 ft10NoNoAssign ManuallyYesYes12024-11-11FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien NHL
Patrick GuayAdmirals (NSH)C/LW/RW232001-04-29CANYes180 Lbs5 ft9NoNoProspectNoNo12024-08-24FalseFalsePro & Farm750,000$0$0$No---------------------------
Rory Kerins (sur la masse salariale)Admirals (NSH)C232001-04-12CANYes190 Lbs5 ft11NoNoProspectNoNo12024-08-24FalseFalsePro & Farm846,667$0$0$No---------------------------
Ryker EvansAdmirals (NSH)D242000-12-13CANYes189 Lbs5 ft11NoNoProspectNoNo12024-08-24FalseFalsePro & Farm925,000$0$0$No---------------------------
Sam CarrickAdmirals (NSH)C/RW341991-02-04CANNo200 Lbs6 ft0NoNoN/AYesYes2FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------Lien NHL
Sebastian CossaAdmirals (NSH)G232001-11-21CANYes225 Lbs6 ft6NoNoProspectNoNo32024-08-24FalseFalsePro & Farm1,713,334$0$0$No1,713,334$1,713,334$-------1,713,334$1,713,334$-------NoNo-------
Travis HamonicAdmirals (NSH)D351989-08-16CANNo200 Lbs6 ft1NoNoAssign ManuallyYesYes12024-11-11FalseFalsePro & Farm1,100,000$0$0$No---------------------------Lien NHL
Vincent IorioAdmirals (NSH)D232001-11-14CANYes205 Lbs6 ft3NoNoProspectNoNo12024-08-24FalseFalsePro & Farm863,333$0$0$No---------------------------
Walker DuehrAdmirals (NSH)RW281996-11-23USANo210 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm827,500$0$0$No827,500$--------827,500$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3628.08196 Lbs6 ft11.361,195,139$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Walker DuehrJansen Harkins40005
2Kole Lind30014
3Jansen HarkinsWalker Duehr20032
4Jansen HarkinsKole Lind10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik Johnson43023
2Mike ReillyChad Ruhwedel32032
3Mike Reilly15122
4Mike Reilly10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Walker DuehrJansen Harkins60014
2Kole Lind40023
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik Johnson60014
2Chad RuhwedelMike Reilly40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jansen Harkins60122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik Johnson60122
2Colin MillerMike Reilly40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160221Mike Reilly60122
2Jansen Harkins40122Erik JohnsonTravis Hamonic40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160023
2Jansen Harkins40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik JohnsonChad Ruhwedel60023
2Mike Reilly40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jansen HarkinsWalker DuehrMike ReillyErik Johnson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jansen HarkinsWalker DuehrMike ReillyErik Johnson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mike Reilly, Erik Johnson, Mike ReillyMike Reilly,
Tirs de pénalité
, , , Jansen Harkins, Walker Duehr
Gardien
#1 : Chris Driedger, #2 : Sebastian Cossa
Lignes d’attaque personnalisées en prolongation
, Kole Lind, Matthew Highmore, Luke Philp, , Patrick Guay, Patrick Guay, , Jansen Harkins, Andrew Poturalski, Walker Duehr
Lignes de défense personnalisées en prolongation
, Colin Miller, Travis Hamonic, Chad Ruhwedel, Mike Reilly


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
1Americans22000000514110000003031100000021141.00058130127192244223121125273896435120.00%2150.00%041390245.79%39388744.31%21143748.28%683463689214375187
2Checkers10001000541100010005410000000000021.00057120027192242923121125272776214125.00%3233.33%041390245.79%39388744.31%21143748.28%683463689214375187
3Comets1010000036-31010000036-30000000000000.0003690027192242323121125273298214250.00%40100.00%041390245.79%39388744.31%21143748.28%683463689214375187
4Condors2010010047-31010000024-21000010023-110.25047110027192246023121125274914103813215.38%5180.00%041390245.79%39388744.31%21143748.28%683463689214375187
5Crunch1010000013-2000000000001010000013-200.0001230027192242623121125272382284125.00%110.00%041390245.79%39388744.31%21143748.28%683463689214375187
6Eagles10001000431000000000001000100043121.000461000271922428231211252729710188337.50%5180.00%041390245.79%39388744.31%21143748.28%683463689214375187
7Griffins11000000523000000000001100000052321.0005914002719224272312112527287421200.00%20100.00%041390245.79%39388744.31%21143748.28%683463689214375187
8Manitoba Moose40400000815-72020000046-22020000049-500.0008152300271922483231211252714532267417529.41%13469.23%041390245.79%39388744.31%21143748.28%683463689214375187
9Marlies1010000025-3000000000001010000025-300.0002460027192242123121125273110823400.00%440.00%041390245.79%39388744.31%21143748.28%683463689214375187
10Monsters21001000743100010004311100000031241.00071421002719224522312112527391823325240.00%9188.89%041390245.79%39388744.31%21143748.28%683463689214375187
11Reign1010000023-11010000023-10000000000000.00024600271922427231211252721128215240.00%4175.00%041390245.79%39388744.31%21143748.28%683463689214375187
12Rocket11000000202110000002020000000000021.0002460127192242223121125272040202150.00%000%041390245.79%39388744.31%21143748.28%683463689214375187
13Senators321000008622110000045-11100000041340.667814220027192247023121125276915145410440.00%7185.71%041390245.79%39388744.31%21143748.28%683463689214375187
14Silver Knights11000000321000000000001100000032121.000358002719224292312112527196884125.00%40100.00%041390245.79%39388744.31%21143748.28%683463689214375187
15Wolf Pack10001000321100010003210000000000021.0003690027192242323121125272213520300.00%000%041390245.79%39388744.31%21143748.28%683463689214375187
16Wolves30300000811-31010000034-12020000057-200.000814220027192249023121125277826226017529.41%10280.00%041390245.79%39388744.31%21143748.28%683463689214375187
17Wranglers30300000210-81010000003-32020000027-500.0002350027192244923121125277618145910110.00%7185.71%041390245.79%39388744.31%21143748.28%683463689214375187
Total29816041007284-121438030003540-51558011003744-7250.4317212820002271922470123121125277462151745611173126.50%802075.00%041390245.79%39388744.31%21143748.28%683463689214375187
_Since Last GM Reset29816041007284-121438030003540-51558011003744-7250.4317212820002271922470123121125277462151745611173126.50%802075.00%041390245.79%39388744.31%21143748.28%683463689214375187
_Vs Conference1559010003842-48340100021192725000001723-6120.4003866104022719224357231211252740810382295591728.81%391464.10%041390245.79%39388744.31%21143748.28%683463689214375187
_Vs Division1129000002637-11514000001115-4615000001522-740.18226477300271922426423121125273238370211481429.17%341167.65%041390245.79%39388744.31%21143748.28%683463689214375187

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2925L17212820070174621517456102
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2981641007284
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
143830003540
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
155811003744
Derniers 10 matchs
WLOTWOTL SOWSOL
262000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1173126.50%802075.00%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
23121125272719224
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
41390245.79%39388744.31%21143748.28%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
683463689214375187


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 - 2024-12-224Manitoba Moose3Admirals2LSommaire du match
5 - 2024-12-2422Senators1Admirals2WSommaire du match
7 - 2024-12-2634Admirals3Silver Knights2WSommaire du match
8 - 2024-12-2745Admirals3Monsters1WSommaire du match
10 - 2024-12-2954Admirals2Wolves3LSommaire du match
12 - 2024-12-3164Comets6Admirals3LSommaire du match
14 - 2025-01-0276Senators4Admirals2LSommaire du match
17 - 2025-01-0592Admirals4Senators1WSommaire du match
18 - 2025-01-06103Admirals1Manitoba Moose4LSommaire du match
20 - 2025-01-08109Admirals2Condors3LXSommaire du match
22 - 2025-01-10121Wolves4Admirals3LSommaire du match
24 - 2025-01-12135Monsters3Admirals4WXSommaire du match
26 - 2025-01-14151Rocket0Admirals2WSommaire du match
28 - 2025-01-16159Admirals1Wranglers2LSommaire du match
30 - 2025-01-18174Wolf Pack2Admirals3WXSommaire du match
32 - 2025-01-20180Admirals1Crunch3LSommaire du match
34 - 2025-01-22193Admirals2Americans1WSommaire du match
35 - 2025-01-23203Manitoba Moose3Admirals2LSommaire du match
37 - 2025-01-25215Admirals1Wranglers5LSommaire du match
39 - 2025-01-27230Admirals3Manitoba Moose5LSommaire du match
41 - 2025-01-29241Wranglers3Admirals0LSommaire du match
43 - 2025-01-31254Admirals5Griffins2WSommaire du match
45 - 2025-02-02265Americans0Admirals3WSommaire du match
47 - 2025-02-04280Reign3Admirals2LSommaire du match
50 - 2025-02-07295Admirals3Wolves4LSommaire du match
51 - 2025-02-08305Checkers4Admirals5WXSommaire du match
53 - 2025-02-10317Admirals2Marlies5LSommaire du match
55 - 2025-02-12328Admirals4Eagles3WXSommaire du match
56 - 2025-02-13338Condors4Admirals2LSommaire du match
58 - 2025-02-15354Stars-Admirals-
60 - 2025-02-17364Admirals-Stars-
62 - 2025-02-19377Admirals-Stars-
64 - 2025-02-21389Bruins-Admirals-
66 - 2025-02-23403Eagles-Admirals-
68 - 2025-02-25416Comets-Admirals-
69 - 2025-02-26427Admirals-Bruins-
71 - 2025-02-28435Admirals-Gulls-
73 - 2025-03-02450Penguins-Admirals-
75 - 2025-03-04464Admirals-Griffins-
77 - 2025-03-06474Admirals-Comets-
78 - 2025-03-07481Monsters-Admirals-
80 - 2025-03-09498Bruins-Admirals-
81 - 2025-03-10507Admirals-Firebirds-
83 - 2025-03-12521Griffins-Admirals-
85 - 2025-03-14535Admirals-Crunch-
86 - 2025-03-15543Crunch-Admirals-
88 - 2025-03-17557Admirals-Condors-
89 - 2025-03-18562Admirals-Penguins-
91 - 2025-03-20577Marlies-Admirals-
93 - 2025-03-22592Gulls-Admirals-
94 - 2025-03-23605Wolves-Admirals-
96 - 2025-03-25617Admirals-Gulls-
98 - 2025-03-27628Admirals-Checkers-
99 - 2025-03-28638Silver Knights-Admirals-
101 - 2025-03-30648Admirals-Silver Knights-
102 - 2025-03-31657Admirals-Senators-
104 - 2025-04-02671Senators-Admirals-
105 - 2025-04-03683Admirals-Checkers-
107 - 2025-04-05697Marlies-Admirals-
110 - 2025-04-08712Firebirds-Admirals-
111 - 2025-04-09722Admirals-Americans-
112 - 2025-04-10735Admirals-Rocket-
114 - 2025-04-12746Rocket-Admirals-
116 - 2025-04-14759Wolves-Admirals-
118 - 2025-04-16775Wolf Pack-Admirals-
120 - 2025-04-18788Admirals-Wolf Pack-
121 - 2025-04-19803IceHogs-Admirals-
123 - 2025-04-21820Checkers-Admirals-
125 - 2025-04-23832Admirals-Eagles-
126 - 2025-04-24834Admirals-Reign-
128 - 2025-04-26849Admirals-Marlies-
129 - 2025-04-27858Senators-Admirals-
130 - 2025-04-28865Admirals-IceHogs-
132 - 2025-04-30878Penguins-Admirals-
134 - 2025-05-02896Admirals-Penguins-
135 - 2025-05-03904Reign-Admirals-
137 - 2025-05-05920Admirals-Penguins-
138 - 2025-05-06927Firebirds-Admirals-
141 - 2025-05-09942Admirals-Americans-
142 - 2025-05-10952IceHogs-Admirals-
144 - 2025-05-12966Admirals-Marlies-
146 - 2025-05-14977Manitoba Moose-Admirals-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
27 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 42,178,336$ 42,178,336$ 525,000$0$
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
0$ 91 288,536$ 26,256,776$




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