Connexion

Admirals
GP: 11 | W: 7 | L: 4
GF: 32 | GA: 18 | PP%: 20.34% | PK%: 94.12%
DG: Danny Rhéaume | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Admirals
7-4-0, 14pts
1
FINAL
2 Monarchs
10-7-0, 20pts
Team Stats
L2StreakOTL2
3-3-0Home Record3-5-0
4-1-0Away Record7-2-0
6-4-0Last 10 Games4-4-2
2.91Buts par match 1.94
1.64Buts contre par match 1.88
20.34%Pourcentage en avantage numérique6.52%
94.12%Pourcentage en désavantage numérique90.72%
Monarchs
10-7-0, 20pts
5
FINAL
3 Admirals
7-4-0, 14pts
Team Stats
OTL2StreakL2
3-5-0Home Record3-3-0
7-2-0Away Record4-1-0
4-4-2Last 10 Games6-4-0
1.94Buts par match 2.91
1.88Buts contre par match 1.64
6.52%Pourcentage en avantage numérique20.34%
90.72%Pourcentage en désavantage numérique94.12%
Meneurs d'équipe
Buts
Samuel Bolduc
5
Passes
Dominik Kahun
7
Points
Dominik Kahun
11
Plus/Moins
Cody Glass
5
Victoires
Jeremy Swayman
5
Pourcentage d’arrêts
Arturs Silovs
0.914

Statistiques d’équipe
Buts pour
32
2.91 GFG
Tirs pour
252
22.91 Avg
Pourcentage en avantage numérique
20.3%
12 GF
Début de zone offensive
43.2%
Buts contre
18
1.64 GAA
Tirs contre
180
16.36 Avg
Pourcentage en désavantage numérique
94.1%
3 GA
Début de la zone défensive
35.5%
Informations de l'équipe

Directeur généralDanny Rhéaume
EntraîneurRyan Huska
DivisionDivision 5
ConférenceConference 2
CapitaineNoah Dobson
Assistant #1Michael Anderson
Assistant #2Joel Kiviranta


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro38
Équipe Mineure18
Limite contact 56 / 60
Espoirs20


Historique d'équipe

Saison actuelle7-4
Historique41-30-9 (0.513%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)7-4
Coupe Stanley0


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
1Benoit-Olivier Groulx (R)0X100.00767383677373766278616065574444665000212910,833$
2Raphael Lavoie (R)0XX100.00757576687560616075536264594444635000202925,000$
3Jack Dugan (R)0X100.007370806270626265506562645944446250002311,000,000$
4Matthew Boldy (R)0XX100.008073956273555170507077696444446436002021,325,000$
5Dominik Kahun0XX100.00594197836464806549697259256262634500251925,000$
6Cody Glass0XX100.006342928072677176646969617552526644002221,713,333$
7Taylor Raddysh0XX100.00838089638073686478596569654444684900232894,166$
8Timothy Gettinger (R)0X100.008484846683686261505563696244446550002311,000,000$
9Joel Kiviranta (A)0XX100.00804490806660666328586755254748585000251925,000$
10Joshua Norris0X100.007858907372698875867176652550506840002221,633,333$
11Ondrej Kase0X100.005840898670723471327363617559606350002522,600,000$
12Sasha Chmelevski0XX100.00726882656864636379606363604444645000221927,500$
13Jack Rathbone (R)0X100.006563697163535065256156605344445650002232,491,667$
14Marcus Pettersson0X100.00784986817174866425574873256263635000251450,000$
15Samuel Bolduc (R)0X100.00828087658063655925475667534444615000202925,000$
16Henri Jokiharju0X100.00764391827173856125545277256060624400222925,000$
17Noah Dobson (C)0X100.007143938075666871255649612554555950002121,431,667$
18Michael Anderson (R) (A)0X100.007758867771738653254844722550506050002231,775,000$
Rayé
1Scott Reedy (R)0X100.00807689647653535670486065574444625000222925,000$
2Jonathan Gruden (R)0X100.00716487616467705750535761544444605000212802,500$
3Curtis Hall (R)0X100.008074946374484945563846624444445750002111,000,000$
4Nicholas Caamano0XX100.00814585637655615635565766254747575000221738,333$
5Stefan Noesen0X100.00816080747558576344576465545960635000282450,000$
6Ryan MacInnis0XX100.00744499647755585952555566254646585000252874,125$
7Riley Sutter0X100.00827693637853545150534565424444605000212894,167$
8Axel Andersson (R)0X100.00746595646556584925384560434444555000213871,667$
9Keaton Thompson0X100.00716974677163684825404159394545555000252925,000$
10Lucas Carlsson0X100.00705689657067665725504568254546565000231925,000$
11Yegor Zamula (R)0X100.007568916868545648254239613744445550002131,036,667$
12Nikolai Knyzhov0X100.007961817079647655254444672550505850002331,100,000$
13Johnathan Kovacevic0X100.00787879637858625125444263394444575000231925,000$
14Travis Dermott0X100.00765085827767835725494967256162614600241863,333$
15Mac Hollowell0X100.00696283676261635025444258394444545000222799,766$
16Leon Gawanke0X100.00777289637264625125474163384444575000221810,000$
MOYENNE D’ÉQUIPE100.0075628770726365594354556443484860490
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
1Jeremy Swayman (R)100.00696158747762986977697544446727002231,300,000$
2Arturs Silovs (R)100.00635164836562707267683044446029002011,000,000$
Rayé
1Daniil Tarasov (R)100.00505569804951505549493044445250002231,175,000$
2Mikhail Berdin100.0057688563555951605454304444565000231766,666$
MOYENNE D’ÉQUIPE100.006059697562596764626041444459390
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ryan Huska66707368656082CAN472850,000$


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
1Dominik KahunAdmirals (ANA)LW/RW1147114002102622815.38%118616.93213743000181054.17%2400001.1800000021
2Cody GlassAdmirals (ANA)C/RW1146105205192772114.81%115313.97022217000191053.49%4300001.3000000130
3Ondrej KaseAdmirals (ANA)RW1146104207222041420.00%018917.22224641000051043.75%1600001.0600000102
4Matthew BoldyAdmirals (ANA)LW/RW943705517112451716.67%014916.60224629000001142.86%700000.9400100200
5Noah DobsonAdmirals (ANA)D11077380876660.00%1422520.54022539000020000.00%000000.6200000000
6Joshua NorrisAdmirals (ANA)C91670801718262113.85%015317.011451132000001059.52%16800000.9100000100
7Marcus PetterssonAdmirals (ANA)D90552801461010.00%515717.4600003000028000.00%000000.6400000000
8Samuel BolducAdmirals (ANA)D115054195249130838.46%721619.65202417000134000.00%000000.4600100012
9Benoit-Olivier GroulxAdmirals (ANA)C111340751116123148.33%018616.99022134000070059.66%17600000.4300100010
10Raphael LavoieAdmirals (ANA)C/RW102241609991622.22%010510.59000040001310042.86%4200000.7600000001
11Taylor RaddyshAdmirals (ANA)C/RW11134-180712112109.09%013612.410222140000321053.03%13200000.5900000010
12Joel KivirantaAdmirals (ANA)LW/RW11134-160914188155.56%117816.18022742000020033.33%900000.4500000000
13Michael AndersonAdmirals (ANA)D1103311002153450.00%924322.15011343000036000.00%000000.2500000000
14Henri JokiharjuAdmirals (ANA)D9112-1120111313477.69%920122.43101836000028100.00%000000.2000000000
15Timothy GettingerAdmirals (ANA)LW111120405383612.50%112111.02000000000310066.67%300000.3300000000
16Sasha ChmelevskiAdmirals (ANA)C/RW11112180111115256.67%112111.0100000000000063.74%9100000.3300000001
17Jack RathboneAdmirals (ANA)D11011260922220.00%320218.42011134000018000.00%000000.1000000000
18Axel Jonsson FjallbyDucksLW21010200020050.00%063.281012000002000.00%000003.0500000000
19Jack DuganAdmirals (ANA)LW1101106013610270.00%415614.26000000000280050.00%800000.1300000000
20Nicholas CaamanoAdmirals (ANA)LW/RW2011120010000.00%094.830000000000000.00%000002.0700000000
21Stefan NoesenAdmirals (ANA)RW2101-1003140325.00%03517.8810128000030057.14%700000.5600000000
22Nikolai KnyzhovAdmirals (ANA)D2011020111000.00%13618.390000300003000.00%000000.5400000000
23Scott ReedyAdmirals (ANA)C2000000000000.00%000.100000000000000.00%000000.0000000000
24Ryan MacInnisAdmirals (ANA)C/LW2000100011010.00%094.8300000000000070.00%1000000.0000000000
25Rasmus KupariDucksC/RW1000000000000.00%022.38000000000200100.00%200000.0000000000
Statistiques d’équipe totales ou en moyenne20232619325131152041972525718712.70%57318615.781221336744800043377156.78%73800000.5800300587
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Jeremy SwaymanAdmirals (ANA)95400.9031.5753603141440110.000090200
2Arturs SilovsAdmirals (ANA)22000.9141.50120003350000.000029000
Statistiques d’équipe totales ou en moyenne117400.9051.5665603171790110.0000119200


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Arturs SilovsAdmirals (ANA)G202001-03-21Yes203 Lbs6 ft4NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Axel AnderssonAdmirals (ANA)D212000-02-10Yes179 Lbs6 ft0NoNoNo3Pro & Farm871,667$871,667$0$0$No871,667$871,667$Lien
Benoit-Olivier GroulxAdmirals (ANA)C212000-02-05Yes195 Lbs6 ft2NoNoNo2Pro & Farm910,833$910,833$0$0$No910,833$
Cody GlassAdmirals (ANA)C/RW221999-04-01No192 Lbs6 ft2NoNoNo2Pro & Farm1,713,333$1,713,333$0$0$No1,713,333$Lien
Curtis HallAdmirals (ANA)C212000-04-26Yes196 Lbs6 ft3NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Daniil TarasovAdmirals (ANA)G221999-03-27Yes185 Lbs6 ft5NoNoNo3Pro & Farm1,175,000$925,000$0$0$No925,000$925,000$Lien
Dominik KahunAdmirals (ANA)LW/RW251995-07-02No175 Lbs5 ft11NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Henri JokiharjuAdmirals (ANA)D221999-06-17No199 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Jack DuganAdmirals (ANA)LW231998-03-24Yes185 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Jack RathboneAdmirals (ANA)D221999-05-20Yes177 Lbs5 ft10NoNoNo3Pro & Farm2,491,667$1,491,667$0$0$No1,491,667$1,491,667$Lien
Jeremy SwaymanAdmirals (ANA)G221998-11-23Yes187 Lbs6 ft2NoNoNo3Pro & Farm1,300,000$1,050,000$0$0$No1,050,000$1,050,000$Lien
Joel KivirantaAdmirals (ANA)LW/RW251996-03-23No180 Lbs5 ft11NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Johnathan KovacevicAdmirals (ANA)D231997-07-12No207 Lbs6 ft4NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Jonathan GrudenAdmirals (ANA)LW212000-05-03Yes172 Lbs6 ft0NoNoNo2Pro & Farm802,500$802,500$0$0$No802,500$
Joshua NorrisAdmirals (ANA)C221999-05-05No192 Lbs6 ft2NoNoNo2Pro & Farm1,633,333$1,633,333$0$0$No1,633,333$Lien
Keaton ThompsonAdmirals (ANA)D251995-09-14No197 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Leon GawankeAdmirals (ANA)D221999-05-31No198 Lbs6 ft1NoNoNo1Pro & Farm810,000$810,000$0$0$NoLien
Lucas CarlssonAdmirals (ANA)D231997-07-05No190 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Mac HollowellAdmirals (ANA)D221998-09-26No170 Lbs5 ft10NoNoNo2Pro & Farm799,766$799,766$0$0$No799,766$Lien
Marcus PetterssonAdmirals (ANA)D251996-05-08No180 Lbs6 ft4NoNoNo1Pro & Farm450,000$450,000$0$0$NoLien
Matthew BoldyAdmirals (ANA)LW/RW202001-04-04Yes196 Lbs6 ft2NoNoNo2Pro & Farm1,325,000$1,325,000$0$0$No1,325,000$
Michael AndersonAdmirals (ANA)D221999-05-25Yes196 Lbs6 ft0NoNoNo3Pro & Farm1,775,000$450,000$0$0$No1,775,000$1,775,000$
Mikhail BerdinAdmirals (ANA)G231998-02-28No163 Lbs6 ft2NoNoNo1Pro & Farm766,666$766,666$0$0$NoLien
Nicholas CaamanoAdmirals (ANA)LW/RW221998-09-07No201 Lbs6 ft3NoNoNo1Pro & Farm738,333$738,333$0$0$NoLien
Nikolai KnyzhovAdmirals (ANA)D231998-03-20No218 Lbs6 ft2NoNoNo3Pro & Farm1,100,000$810,000$0$0$No810,000$810,000$Lien
Noah DobsonAdmirals (ANA)D212000-01-07No195 Lbs6 ft4NoNoNo2Pro & Farm1,431,667$1,431,667$0$0$No1,431,667$Lien
Ondrej KaseAdmirals (ANA)RW251995-11-08No190 Lbs6 ft0NoNoNo2Pro & Farm2,600,000$2,600,000$0$0$No2,600,000$Lien
Raphael LavoieAdmirals (ANA)C/RW202000-09-25Yes198 Lbs6 ft4NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$
Riley SutterAdmirals (ANA)RW211999-10-25No207 Lbs6 ft4NoNoNo2Pro & Farm894,167$894,167$0$0$No894,167$Lien
Ryan MacInnisAdmirals (ANA)C/LW251996-02-14No201 Lbs6 ft4NoNoNo2Pro & Farm874,125$874,125$0$0$No874,125$Lien
Samuel BolducAdmirals (ANA)D202000-12-09Yes212 Lbs6 ft4NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$
Sasha ChmelevskiAdmirals (ANA)C/RW221999-06-09No187 Lbs6 ft0NoNoNo1Pro & Farm927,500$927,500$0$0$NoLien
Scott ReedyAdmirals (ANA)C221999-04-04Yes209 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$
Stefan NoesenAdmirals (ANA)RW281993-02-12No205 Lbs6 ft1NoNoNo2Pro & Farm450,000$450,000$0$0$No450,000$Lien
Taylor RaddyshAdmirals (ANA)C/RW231998-02-18No216 Lbs6 ft3NoNoNo2Pro & Farm894,166$894,166$0$0$No894,166$Lien
Timothy GettingerAdmirals (ANA)LW231998-04-13Yes218 Lbs6 ft6NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Travis DermottAdmirals (ANA)D241996-12-21No215 Lbs6 ft0NoNoNo1Pro & Farm863,333$863,333$0$0$NoLien
Yegor ZamulaAdmirals (ANA)D212000-03-30Yes176 Lbs6 ft3NoNoNo3Pro & Farm1,036,667$786,667$0$0$No786,667$786,667$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3822.47194 Lbs6 ft21.821,077,887$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew BoldyJoshua NorrisOndrej Kase30023
2Dominik KahunBenoit-Olivier GroulxJoel Kiviranta30023
3Jack DuganSasha ChmelevskiCody Glass30023
4Timothy GettingerTaylor RaddyshRaphael Lavoie10032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael AndersonHenri Jokiharju35032
2Samuel BolducNoah Dobson35032
3Marcus PetterssonJack Rathbone30032
4Michael AndersonHenri Jokiharju0032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew BoldyJoshua NorrisOndrej Kase50014
2Dominik KahunBenoit-Olivier GroulxJoel Kiviranta50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael AndersonHenri Jokiharju50023
2Jack RathboneNoah Dobson50023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Taylor RaddyshTimothy Gettinger50041
2Raphael LavoieJack Dugan50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael AndersonHenri Jokiharju50041
2Samuel BolducMarcus Pettersson50041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Taylor Raddysh50050Michael AndersonHenri Jokiharju50050
2Raphael Lavoie50050Samuel BolducMarcus Pettersson50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Joshua NorrisMatthew Boldy50023
2Benoit-Olivier GroulxOndrej Kase50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael AndersonHenri Jokiharju50032
2Samuel BolducNoah Dobson50032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew BoldyJoshua NorrisOndrej KaseMichael AndersonHenri Jokiharju
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Timothy GettingerTaylor RaddyshRaphael LavoieMichael AndersonHenri Jokiharju
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cody Glass, Taylor Raddysh, Timothy GettingerCody Glass, Taylor RaddyshBenoit-Olivier Groulx
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Marcus Pettersson, Jack Rathbone, Henri JokiharjuSamuel BolducJack Rathbone, Noah Dobson
Tirs de pénalité
Joel Kiviranta, Sasha Chmelevski, Ondrej Kase, Dominik Kahun, Benoit-Olivier Groulx
Gardien
#1 : Jeremy Swayman, #2 : Arturs Silovs


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
1Monarchs734000001414041300000911-23210000053260.42914253912179601469577800121359312936616.67%34294.12%019031959.56%14526255.34%8415753.50%2862072447012967
2Sharks44000000184142200000071622000000113881.000183654011796010695778005922387523626.09%17194.12%019031959.56%14526255.34%8415753.50%2862072447012967
Total11740000032181463300000161245410000016610140.6363261931317960252957780018057131204591220.34%51394.12%019031959.56%14526255.34%8415753.50%2862072447012967
_Since Last GM Reset11740000032181463300000161245410000016610140.6363261931317960252957780018057131204591220.34%51394.12%019031959.56%14526255.34%8415753.50%2862072447012967
_Vs Conference11740000032181463300000161245410000016610140.6363261931317960252957780018057131204591220.34%51394.12%019031959.56%14526255.34%8415753.50%2862072447012967
_Vs Division11740000032181463300000161245410000016610140.6363261931317960252957780018057131204591220.34%51394.12%019031959.56%14526255.34%8415753.50%2862072447012967

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1114L23261932521805713120413
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
117400003218
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
63300001612
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
5410000166
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
591220.34%51394.12%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
957780017960
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
19031959.56%14526255.34%8415753.50%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2862072447012967


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2022-03-168Admirals6Sharks2AWSommaire du match
2 - 2022-03-1716Admirals5Sharks1AWSommaire du match
3 - 2022-03-1824Sharks1Admirals5BWSommaire du match
4 - 2022-03-1932Sharks0Admirals2BWSommaire du match
8 - 2022-03-2360Monarchs4Admirals3BLSommaire du match
9 - 2022-03-2464Monarchs2Admirals1BLSommaire du match
10 - 2022-03-2568Admirals2Monarchs0AWSommaire du match
11 - 2022-03-2672Admirals2Monarchs1AWSommaire du match
12 - 2022-03-2776Monarchs0Admirals2BWSommaire du match
13 - 2022-03-2880Admirals1Monarchs2ALSommaire du match
14 - 2022-03-2984Monarchs5Admirals3BLSommaire du match



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
-6 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 4,095,972$ 3,759,472$ 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$ 0 0$ 0$




Admirals Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Cody Eakin631550655162818812512.00%20133121.13520253813443462.69%00.9800
2Sasha Chmelevski822225470386014612617.46%9136116.60614204400003059.72%00.6923
3Ondrej Kase822126473412912916212.96%5134516.4199185000003141.41%00.70316
4Joel Kiviranta81252045-256867915915.72%4137316.95129215300012234.88%00.6612
5Dominik Kahun70202141622810113914.39%4122817.55410144600015342.20%00.6702

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
1Arturs Silovs54271750.8892.2529590711110030000.74335
2Alexandar Georgiev4126940.8842.20234303867400000.71421
3Adam Werner37121160.8752.16178040645130110.75016
4Mikhail Berdin42200.8453.491890011710000.0000
5Daniil Tarasov20000.8642.3178003220000.0000

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
Saison régulière
202182313001398204198641141501245108105341171500153969339320435555917725864151708548605533741610468128015604996312.63%5255789.14%31346239156.29%1283232455.21%638116055.00%2055140919316251029516
Total Saison régulière82313001398204198641141501245108105341171500153969339320435555917725864151708548605533741610468128015604996312.63%5255789.14%31346239156.29%1283232455.21%638116055.00%2055140919316251029516
202111740000032181463300000161245410000016610143261931317960252957780018057131204591220.34%51394.12%019031959.56%14526255.34%8415753.50%2862072447012967
Total Séries éliminatoires11740000032181463300000161245410000016610143261931317960252957780018057131204591220.34%51394.12%019031959.56%14526255.34%8415753.50%2862072447012967

Admirals Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Dominik Kahun114711402102615.38%118616.93213700011054.17%01.1800
2Cody Glass114610525192714.81%115313.97022200011053.49%01.3000
3Ondrej Kase114610427222020.00%018917.22224600001043.75%01.0600
4Matthew Boldy94370517112416.67%014916.60224600001142.86%00.9400
5Joshua Norris9167081718263.85%015317.011451100001059.52%00.9100

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
1Jeremy Swayman95400.9031.5753603141440110.0000
2Arturs Silovs22000.9141.50120003350000.0000