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Admirals
GP: 1 | W: 1 | L: 0 | OTL: 0 | P: 2
GF: 2 | GA: 1 | PP%: 0.00% | PK%: 75.00%
DG: Danny Rhéaume | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #20 vs Sharks
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Centre de jeu
Admirals
1-0-0, 2pts
2
FINAL
1 Monarchs
0-0-1, 1pts
Team Stats
W1StreakSOL1
0-0-0Home Record0-0-1
1-0-0Away Record0-0-0
1-0-0Last 10 Games0-0-1
2.00Buts par match 1.00
1.00Buts contre par match 2.00
0.00%Pourcentage en avantage numérique25.00%
75.00%Pourcentage en désavantage numérique100.00%
Sharks
0-1-0, 0pts
2022-10-14
Admirals
1-0-0, 2pts
Statistiques d’équipe
L1SéquenceW1
0-1-0Fiche domicile0-0-0
0-0-0Fiche visiteur1-0-0
0-1-010 derniers matchs1-0-0
1.00Buts par match 2.00
2.00Buts contre par match 2.00
0.00%Pourcentage en avantage numérique0.00%
87.50%Pourcentage en désavantage numérique75.00%
Griffins
1-0-0, 2pts
2022-10-16
Admirals
1-0-0, 2pts
Statistiques d’équipe
W1SéquenceW1
0-0-0Fiche domicile0-0-0
1-0-0Fiche visiteur1-0-0
1-0-010 derniers matchs1-0-0
3.00Buts par match 2.00
2.00Buts contre par match 2.00
14.29%Pourcentage en avantage numérique0.00%
60.00%Pourcentage en désavantage numérique75.00%
Condors
0-1-0, 0pts
2022-10-17
Admirals
1-0-0, 2pts
Statistiques d’équipe
L1SéquenceW1
0-1-0Fiche domicile0-0-0
0-0-0Fiche visiteur1-0-0
0-1-010 derniers matchs1-0-0
2.00Buts par match 2.00
4.00Buts contre par match 2.00
50.00%Pourcentage en avantage numérique0.00%
85.71%Pourcentage en désavantage numérique75.00%
Meneurs d'équipe
Buts
Cody Glass
1
Passes
Jordan Spence
1
Points
Jordan Spence
1
Plus/Moins
Cody Glass
1
Victoires
Alexandar Georgiev
1
Pourcentage d’arrêts
Alexandar Georgiev
0.955

Statistiques d’équipe
Buts pour
2
2.00 GFG
Tirs pour
21
21.00 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
39.1%
Buts contre
1
1.00 GAA
Tirs contre
22
22.00 Avg
Pourcentage en désavantage numérique
75.0%
1 GA
Début de la zone défensive
43.8%
Informations de l'équipe

Directeur généralDanny Rhéaume
EntraîneurD.J. Smith
DivisionDivision 5
ConférenceConference 2
CapitaineBrandon Montour
Assistant #1Michael Anderson
Assistant #2Henri Jokiharju


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro34
Équipe Mineure18
Limite contact 52 / 60
Espoirs25


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
1Yegor Chinakhov (R)0X100.007142918365636066256060657551516550002131,575,000$
2Benoit-Olivier Groulx (R)0X100.00764496677359765860605777254545645000221910,833$
3Scott Reedy (R)0X100.00634290697659716953567263254747685000231925,000$
4Vasili Ponomarev (R)0X100.00726588736541356580656263594444635000203830,000$
5Cole Koepke (R)0XXX100.007472776372595960505560635744446250002411,000,000$
6Cody Glass0XX100.008144998472598372676155597553546450002311,713,333$
7Taylor Raddysh0XX100.00794595748063766836626869255353705000241894,166$
8Axel Jonsson-Fjallby0X100.00766893656851486450606565624444655000241750,000$
9Nico Sturm0XX100.00784493817762886184626278255960695000272725,000$
10Ryan MacInnis0XX100.00787781647761626075575866554646625000261874,125$
11Sasha Chmelevski0XX100.00764392776865756355805575254646675000231927,500$
12Rasmus Kupari0XX100.007743897768628158606259652551516550002211,081,667$
13Brandon Montour (C)0X100.007143838670759166256556697568696750002813,387,500$
14Jordan Spence (R)0X100.00784397805979627425594973254646645000212919,167$
15Jake Christiansen (R)0X100.007644996672546254253954642544445950002311,000,000$
16Henri Jokiharju (A)0X100.00774489827185796525614880256363655000231925,000$
17Yegor Zamula (R)0X100.00654287686869735925394778254545585000222786,667$
18Michael Anderson (A)0X100.008845957771808160254948822558586450002321,775,000$
Rayé
1Raphael Lavoie (R)0XX100.00807591687557585771515965564444625000221925,000$
2Jonathan Gruden (R)0X100.00666471636457585350515157484444555000221802,500$
3Tim Gettinger0X100.00844699668355655746505565254444605000241750,000$
4Alex Beaucage (R)0XX100.00757184677146465050494761454444545000212925,000$
5Mikhail Abramov (R)0X100.00706190636155555569574860464444565000212809,444$
6Riley Sutter (R)0X100.00807886637853544950474663444444545000221894,167$
7Jack Rathbone (R)0X100.006741927163646058253947652545455650002321,491,667$
8Samuel Bolduc (R)0X100.00858390658356604525344065384444525000211925,000$
9Daniil Miromanov (R)0XX100.006542936575536252254847632545455650002511,000,000$
10Axel Andersson (R)0X100.00726587646549504825374359414444515000222871,667$
11Keaton Thompson0X100.00727175677151534525354059384545505000271925,000$
12Mac Hollowell (R)0X100.00656173676155565525524357414444545000241799,766$
MOYENNE D’ÉQUIPE100.0075558971716065594453536640484861500
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
1Alexandar Georgiev100.00656060677258836565656859596750002622,425,000$
2Mikhail Berdin100.0054536663525860626161304444575000241750,000$
Rayé
1Daniil Tarasov (R)100.0047435480484750534949304444485000232925,000$
2Arturs Silovs (R)100.0046405083474950525252304444495000211796,111$
MOYENNE D’ÉQUIPE100.005349587355536158575740484855500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
D.J. Smith78777482756894CAN4531,000,000$


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
1Jordan SpenceAdmirals (ANA)D1011100212100.00%12323.450002200002000.00%000000.8500000001
2Cody GlassAdmirals (ANA)C/RW11011001122150.00%01111.5500000000000111.55900001.7301000100
3Brandon MontourAdmirals (ANA)D1000120021100.00%11919.550001200000000.00%000000.00%11000000
4Yegor ChinakhovAdmirals (ANA)RW1000000304020.00%01717.730000200000000.00%200000.00%01000000
5Benoit-Olivier GroulxAdmirals (ANA)C1000020000110.00%01212.0500000000020012.05900000.00%00000000
6Scott ReedyAdmirals (ANA)C1000000011130.00%01717.330000200000000.00%200000.00%00000000
7Jake ChristiansenAdmirals (ANA)D1000000000000.00%01515.880000000000000.00%000000.00%00000000
8Henri JokiharjuAdmirals (ANA)D1000020212010.00%12323.850002200002000.00%000000.00%00000000
9Vasili PonomarevAdmirals (ANA)C1000000020010.00%01717.4200002000000017.42900000.00%00000000
10Cole KoepkeAdmirals (ANA)C/LW/RW1000100000000.00%01212.450000100000000.00%000000.00%00000000
11Yegor ZamulaAdmirals (ANA)D1000000231000.00%01717.330000000002000.00%000000.00%00000000
12Taylor RaddyshAdmirals (ANA)C/RW1000000132030.00%12020.7700002000030020.77100000.00%00000000
13Axel Jonsson-FjallbyAdmirals (ANA)LW1000000211020.00%01616.920001200000000.00%000000.00%00000000
14Nico SturmAdmirals (ANA)C/LW1000000133120.00%02020.9800012000030020.982700000.00%00000000
15Ryan MacInnisAdmirals (ANA)C/LW1000000200000.00%099.970000000000000.00%300000.00%00000000
16Michael AndersonAdmirals (ANA)D1000000410040.00%02424.900000200003000.00%000000.00%00000000
17Sasha ChmelevskiAdmirals (ANA)C/RW1000000101000.00%01212.200000000003000.00%200000.00%00000000
18Rasmus KupariAdmirals (ANA)C/RW1000120011000.00%01313.5200000000010013.52500000.00%00000000
Statistiques d’équipe totales ou en moyenne181125802120217204.76%430717.100007270000260143.48%6900000.1313000101
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
1Alexandar GeorgievAdmirals (ANA)11000.9550.9265001220001.000310010
Statistiques d’équipe totales ou en moyenne11000.9550.926500122000310010


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
Alex BeaucageAdmirals (ANA)LW/RW212001-07-25Yes192 Lbs6 ft1NoNoNo2Pro & Farm925,000$899,658$925,000$899,658$0$0$No925,000$
Alexandar GeorgievAdmirals (ANA)G261996-02-10No178 Lbs6 ft1NoNoNo2Pro & Farm2,425,000$2,358,562$2,425,000$2,358,562$0$0$No2,425,000$Lien
Arturs SilovsAdmirals (ANA)G212001-03-21Yes203 Lbs6 ft4NoNoNo1Pro & Farm796,111$774,300$796,111$774,300$0$0$NoLien
Axel AnderssonAdmirals (ANA)D222000-02-10Yes179 Lbs6 ft0NoNoNo2Pro & Farm871,667$847,786$871,667$847,786$0$0$No871,667$Lien
Axel Jonsson-FjallbyAdmirals (ANA)LW241998-02-10No185 Lbs6 ft0NoNoNo1Pro & Farm750,000$729,452$750,000$729,452$0$0$NoLien
Benoit-Olivier GroulxAdmirals (ANA)C222000-02-05Yes195 Lbs6 ft2NoNoNo1Pro & Farm910,833$885,879$910,833$885,879$0$0$NoLien
Brandon MontourAdmirals (ANA)D281994-04-11No192 Lbs6 ft0NoNoNo1Pro & Farm3,387,500$3,294,692$3,387,500$3,294,692$0$0$NoLien
Cody GlassAdmirals (ANA)C/RW231999-04-01No192 Lbs6 ft2NoNoNo1Pro & Farm1,713,333$1,666,392$1,713,333$1,666,392$0$0$NoLien
Cole KoepkeAdmirals (ANA)C/LW/RW241998-05-17Yes196 Lbs6 ft1YesNoNo1Pro & Farm1,000,000$972,603$1,000,000$972,603$0$0$NoLien
Daniil MiromanovAdmirals (ANA)RW/D251997-07-11Yes198 Lbs6 ft4YesNoNo1Pro & Farm1,000,000$972,603$1,000,000$972,603$0$0$NoLien
Daniil TarasovAdmirals (ANA)G231999-03-27Yes185 Lbs6 ft5NoNoNo2Pro & Farm925,000$899,658$925,000$899,658$0$0$No925,000$Lien
Henri JokiharjuAdmirals (ANA)D231999-06-17No199 Lbs6 ft0NoNoNo1Pro & Farm925,000$899,658$925,000$899,658$0$0$NoLien
Jack RathboneAdmirals (ANA)D231999-05-20Yes177 Lbs5 ft10NoNoNo2Pro & Farm1,491,667$1,450,799$1,491,667$1,450,799$0$0$No1,491,667$Lien
Jake ChristiansenAdmirals (ANA)D231999-09-12Yes195 Lbs6 ft1YesNoNo1Pro & Farm1,000,000$972,603$1,000,000$972,603$0$0$NoLien
Jonathan GrudenAdmirals (ANA)LW222000-05-04Yes172 Lbs6 ft0NoNoNo1Pro & Farm802,500$780,514$802,500$780,514$0$0$NoLien
Jordan SpenceAdmirals (ANA)D212001-02-24Yes163 Lbs5 ft10NoNoNo2Pro & Farm919,167$893,984$919,167$893,984$0$0$No919,167$
Keaton ThompsonAdmirals (ANA)D271995-09-14No197 Lbs6 ft0NoNoNo1Pro & Farm925,000$899,658$925,000$899,658$0$0$NoLien
Mac HollowellAdmirals (ANA)D241998-09-26Yes172 Lbs5 ft9NoNoNo1Pro & Farm799,766$777,855$799,766$777,855$0$0$NoLien
Michael AndersonAdmirals (ANA)D231999-05-25No196 Lbs6 ft0NoNoNo2Pro & Farm1,775,000$1,726,370$450,000$437,671$0$0$No1,775,000$Lien
Mikhail AbramovAdmirals (ANA)C212001-03-26Yes161 Lbs6 ft0NoNoNo2Pro & Farm809,444$787,267$809,444$787,267$0$0$No809,444$
Mikhail BerdinAdmirals (ANA)G241998-02-28No163 Lbs6 ft2NoNoNo1Pro & Farm750,000$729,452$750,000$729,452$0$0$NoLien
Nico SturmAdmirals (ANA)C/LW271995-05-02No207 Lbs6 ft3NoNoNo2Pro & Farm725,000$705,137$725,000$705,137$0$0$No725,000$Lien
Raphael LavoieAdmirals (ANA)C/RW222000-09-25Yes196 Lbs6 ft4NoNoNo1Pro & Farm925,000$899,658$925,000$899,658$0$0$NoLien
Rasmus KupariAdmirals (ANA)C/RW222000-03-15No183 Lbs6 ft1NoNoNo1Pro & Farm1,081,667$1,052,032$1,081,667$1,052,032$0$0$NoLien
Riley SutterAdmirals (ANA)RW221999-10-25Yes207 Lbs6 ft4NoNoNo1Pro & Farm894,167$869,669$894,167$869,669$0$0$NoLien
Ryan MacInnisAdmirals (ANA)C/LW261996-02-14No201 Lbs6 ft4NoNoNo1Pro & Farm874,125$850,176$874,125$850,176$0$0$NoLien
Samuel BolducAdmirals (ANA)D212000-12-09Yes220 Lbs6 ft4NoNoNo1Pro & Farm925,000$899,658$925,000$899,658$0$0$NoLien
Sasha ChmelevskiAdmirals (ANA)C/RW231999-06-09No187 Lbs6 ft0NoNoNo1Pro & Farm927,500$902,089$927,500$902,089$0$0$NoLien
Scott ReedyAdmirals (ANA)C231999-04-04Yes209 Lbs6 ft2NoNoNo1Pro & Farm925,000$899,658$925,000$899,658$0$0$NoLien
Taylor RaddyshAdmirals (ANA)C/RW241998-02-18No216 Lbs6 ft3NoNoNo1Pro & Farm894,166$869,668$894,166$869,668$0$0$NoLien
Tim GettingerAdmirals (ANA)LW241998-04-13No218 Lbs6 ft6NoNoNo1Pro & Farm750,000$729,452$750,000$729,452$0$0$NoLien
Vasili PonomarevAdmirals (ANA)C202002-03-13Yes181 Lbs5 ft10NoNoNo3Pro & Farm830,000$807,260$830,000$807,260$0$0$No830,000$830,000$Lien
Yegor ChinakhovAdmirals (ANA)RW212001-02-01Yes179 Lbs6 ft0YesNoNo3Pro & Farm1,575,000$1,531,849$1,575,000$1,531,849$0$0$No1,575,000$1,575,000$Lien
Yegor ZamulaAdmirals (ANA)D222000-03-30Yes176 Lbs6 ft3NoNoNo2Pro & Farm786,667$765,114$786,667$765,114$0$0$No786,667$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3423.15190 Lbs6 ft11.411,088,685$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Scott ReedyNico SturmTaylor Raddysh30023
2Axel Jonsson-FjallbyVasili PonomarevYegor Chinakhov30023
3Cole KoepkeCody GlassRasmus Kupari30023
4Ryan MacInnisBenoit-Olivier GroulxSasha Chmelevski10032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael AndersonHenri Jokiharju35032
2Brandon MontourJordan Spence35032
3Yegor ZamulaJake Christiansen30032
4Michael AndersonHenri Jokiharju0032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Scott ReedyNico SturmTaylor Raddysh50005
2Axel Jonsson-FjallbyVasili PonomarevYegor Chinakhov50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael AndersonHenri Jokiharju50014
2Brandon MontourJordan Spence50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nico SturmSasha Chmelevski50041
2Benoit-Olivier GroulxTaylor Raddysh50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael AndersonHenri Jokiharju50041
2Yegor ZamulaJordan Spence50041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nico Sturm50050Michael AndersonHenri Jokiharju50050
2Benoit-Olivier Groulx50050Yegor ZamulaJordan Spence50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nico SturmScott Reedy50023
2Vasili PonomarevYegor Chinakhov50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael AndersonHenri Jokiharju50032
2Brandon MontourJordan Spence50032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Scott ReedyNico SturmTaylor RaddyshBrandon MontourJordan Spence
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Benoit-Olivier GroulxNico SturmSasha ChmelevskiMichael AndersonHenri Jokiharju
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Benoit-Olivier Groulx, Vasili Ponomarev, Rasmus KupariBenoit-Olivier Groulx, Vasili PonomarevRasmus Kupari
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Yegor Zamula, Jake Christiansen, Michael AndersonJake ChristiansenBrandon Montour, Jake Christiansen
Tirs de pénalité
Scott Reedy, Taylor Raddysh, Axel Jonsson-Fjallby, Vasili Ponomarev, Yegor Chinakhov
Gardien
#1 : Alexandar Georgiev, #2 : Mikhail Berdin
Lignes d’attaque personnalisées en prolongation
Nico Sturm, Taylor Raddysh, Scott Reedy, Axel Jonsson-Fjallby, Vasili Ponomarev, Yegor Chinakhov, Yegor Chinakhov, Ryan MacInnis, Rasmus Kupari, Benoit-Olivier Groulx, Cody Glass
Lignes de défense personnalisées en prolongation
Michael Anderson, Henri Jokiharju, Jordan Spence, Brandon Montour, Yegor Zamula


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
1Monarchs10000010211000000000001000001021121.0002130001012144115224821300.00%4175.00%0122548.00%142850.00%41136.36%2315278146
Total10000010211000000000001000001021121.0002130001012144115224821300.00%4175.00%0122548.00%142850.00%41136.36%2315278146
_Since Last GM Reset10000010211000000000001000001021121.0002130001012144115224821300.00%4175.00%0122548.00%142850.00%41136.36%2315278146
_Vs Conference10000010211000000000001000001021121.0002130001012144115224821300.00%4175.00%0122548.00%142850.00%41136.36%2315278146
_Vs Division10000010211000000000001000001021121.0002130001012144115224821300.00%4175.00%0122548.00%142850.00%41136.36%2315278146

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
12W12132122482100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
100001021
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
100001021
Derniers 10 matchs
WLOTWOTL SOWSOL
100000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
300.00%4175.00%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
441150101
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
122548.00%142850.00%41136.36%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2315278146


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 - 2022-10-093Admirals2Monarchs1AWXXSommaire du match
6 - 2022-10-1420Sharks-Admirals-
8 - 2022-10-1635Griffins-Admirals-
9 - 2022-10-1747Condors-Admirals-
13 - 2022-10-2168Moose-Admirals-
14 - 2022-10-2278Admirals-Moose-
15 - 2022-10-2387Admirals-Griffins-
16 - 2022-10-2492Marlies-Admirals-
17 - 2022-10-2599Admirals-Wolf Pack-
20 - 2022-10-28115Wolf Pack-Admirals-
23 - 2022-10-31133Sound Tigers-Admirals-
24 - 2022-11-01138Admirals-Sound Tigers-
26 - 2022-11-03155Marlies-Admirals-
27 - 2022-11-04160Admirals-Monsters-
28 - 2022-11-05167Admirals-Moose-
30 - 2022-11-07180Condors-Admirals-
32 - 2022-11-09189Admirals-Griffins-
35 - 2022-11-12200Griffins-Admirals-
41 - 2022-11-18221Bruins-Admirals-
42 - 2022-11-19231Admirals-Marlies-
45 - 2022-11-22243Marlies-Admirals-
46 - 2022-11-23250Admirals-Monarchs-
48 - 2022-11-25265Wolves-Admirals-
50 - 2022-11-27280Admirals-Moose-
51 - 2022-11-28287IceHogs-Admirals-
53 - 2022-11-30300Admirals-Condors-
54 - 2022-12-01304Admirals-Stars-
55 - 2022-12-02314Soldiers-Admirals-
58 - 2022-12-05332Flames-Admirals-
60 - 2022-12-07344Admirals-Senators-
61 - 2022-12-08345Admirals-Sound Tigers-
62 - 2022-12-09358Condors-Admirals-
66 - 2022-12-13375Stars-Admirals-
67 - 2022-12-14383Admirals-Sharks-
69 - 2022-12-16397IceHogs-Admirals-
70 - 2022-12-17406Admirals-Sharks-
73 - 2022-12-20419Penguins-Admirals-
75 - 2022-12-22431Admirals-Senators-
76 - 2022-12-23442Senators-Admirals-
79 - 2022-12-26457Admirals-Rampage-
80 - 2022-12-27462Admirals-Monarchs-
81 - 2022-12-28468Moose-Admirals-
84 - 2022-12-31486Sharks-Admirals-
86 - 2023-01-02496Admirals-Stars-
88 - 2023-01-04507Sharks-Admirals-
91 - 2023-01-07523Admirals-Rampage-
93 - 2023-01-09529Monsters-Admirals-
95 - 2023-01-11544Admirals-Wolf Pack-
98 - 2023-01-14553Monarchs-Admirals-
99 - 2023-01-15561Admirals-Marlies-
102 - 2023-01-18573Monarchs-Admirals-
105 - 2023-01-21587Admirals-Soldiers-
106 - 2023-01-22598Crunch-Admirals-
109 - 2023-01-25612Admirals-IceHogs-
110 - 2023-01-26621Griffins-Admirals-
114 - 2023-01-30639Penguins-Admirals-
117 - 2023-02-02656Admirals-Condors-
118 - 2023-02-03661Griffins-Admirals-
121 - 2023-02-06675Admirals-Wolf Pack-
123 - 2023-02-08683Sound Tigers-Admirals-
126 - 2023-02-11697Admirals-Sound Tigers-
127 - 2023-02-12704Wolf Pack-Admirals-
129 - 2023-02-14716Admirals-Rocket-
131 - 2023-02-16727Moose-Admirals-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
134 - 2023-02-19740Admirals-Sound Tigers-
135 - 2023-02-20745Admirals-Phantoms-
137 - 2023-02-22749Rampage-Admirals-
139 - 2023-02-24759Admirals-Wolves-
141 - 2023-02-26771Wolf Pack-Admirals-
143 - 2023-02-28776Admirals-Wolves-
144 - 2023-03-01784Admirals-Rocket-
145 - 2023-03-02789Admirals-Soldiers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3315
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
128,808$ 3,701,527$ 3,569,027$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 101,412$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 142 32,202$ 4,572,684$




Admirals Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Admirals Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Admirals Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Admirals Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Admirals Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA