Admirals
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Danny Rhéaume | Morale : 50 | Moyenne d'Équipe : N/A
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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
1Axel Jonsson-FjallbyX100.007668946668585955504858635544446050002211,000,000$
2Deven Sideroff (R)X100.00736395546348485250465163485252555000233935,833$
3Lukas JasekX100.007468886168717558505161635844446350002211,000,000$
4Manuel Wiederer (R)XX100.00716486616456585265534760454444555000233736,667$
5Nathan Noel (R)XX100.00646366536349514455384454424444475000233925,000$
6Nicholas CaamanoX100.007944896372557854445858642545456250002111,000,000$
7Taylor Raddysh (R)XX100.00838089638078836075536268594444653000223894,166$
8Ryan MacInnis (R)X100.00714399647154805847605562254444615000243874,125$
9Joel Kiviranta (R)XX100.008043888059577163255059542545456147002411,000,000$
10Jordy Bellerive (R)X100.007269786769747956704959615644446150002111,000,000$
11Sasha Chmelevski (R)XX100.007368846568656662785962635944446446002111,000,000$
12Riley Sutter (R)X100.00827499637452544850464564434444555000203894,167$
13Henri JokiharjuX100.00764386826771846125524875255757635000213925,000$
14Jacob LarssonX100.00674293777369855725514875256060624700233894,166$
15Lucas CarlssonX100.007470846570737854255242624044445650002211,000,000$
16Michael Anderson (R)X100.007671897771636749254141613944445450002111,000,000$
17Brogan Rafferty (R)X100.007872926472646660256045654344445950002511,000,000$
18Leon Gawanke (R)X100.007672866372687254255241633944445550002111,000,000$
Rayé
1Keaton Thompson (R)X100.00736786676762665025444060384545535000243925,000$
2Noah Dobson (R)X100.006942918071626369255348592547476050002031,431,667$
3Johnathan Kovacevic (R)X100.007878796378555848253842624044445250002211,000,000$
4Mac Hollowell (R)X100.00676279676262665025434257404444525000213799,766$
MOYENNE D'ÉQUIPE100.0074628767696269554150506341464658490
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 SP
1Adam Werner (R)100.0057597473596151605857304444575000
2Mikhail Berdin100.0059627863606351615857304444585000
Rayé
MOYENNE D'ÉQUIPE100.005861766860625161585730444458500
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ryan Huska66707368656082CAN463850,000$


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
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


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 RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Adam WernerAdmirals (ANA)G231997-01-01Yes200 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Axel Jonsson-FjallbyAdmirals (ANA)LW221998-02-10No185 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Brogan RaffertyAdmirals (ANA)D251995-05-28Yes192 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Deven SideroffAdmirals (ANA)RW231997-04-14Yes171 Lbs5 ft11NoNoNo3Pro & Farm935,833$935,833$0$0$No935,833$935,833$
Henri JokiharjuAdmirals (ANA)D211999-06-17No180 Lbs6 ft0NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$Lien
Jacob LarssonAdmirals (ANA)D231997-04-29No195 Lbs6 ft2NoNoNo3Pro & Farm894,166$894,166$0$0$No894,166$894,166$Lien
Joel KivirantaAdmirals (ANA)LW/RW241996-03-23Yes163 Lbs5 ft10NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Johnathan KovacevicAdmirals (ANA)D221997-07-12Yes207 Lbs6 ft4NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Jordy BelleriveAdmirals (ANA)C211999-05-02Yes194 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Keaton ThompsonAdmirals (ANA)D241995-09-14Yes182 Lbs6 ft0NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$
Leon GawankeAdmirals (ANA)D211999-05-31Yes198 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Lucas CarlssonAdmirals (ANA)D221997-07-05No190 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Lukas JasekAdmirals (ANA)RW221997-08-28No183 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Mac HollowellAdmirals (ANA)D211998-09-26Yes170 Lbs5 ft10NoNoNo3Pro & Farm799,766$799,766$0$0$No799,766$799,766$
Manuel WiedererAdmirals (ANA)C/RW231996-11-21Yes170 Lbs6 ft0NoNoNo3Pro & Farm736,667$736,667$0$0$No736,667$736,667$
Michael AndersonAdmirals (ANA)D211999-05-25Yes196 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Mikhail BerdinAdmirals (ANA)G221998-02-28No163 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Nathan NoelAdmirals (ANA)C/LW231997-06-21Yes174 Lbs5 ft11NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$
Nicholas CaamanoAdmirals (ANA)RW211998-10-07No194 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Noah DobsonAdmirals (ANA)D202000-01-07Yes183 Lbs6 ft4NoNoNo3Pro & Farm1,431,667$1,431,667$0$0$No1,431,667$1,431,667$
Riley SutterAdmirals (ANA)RW201999-10-24Yes200 Lbs6 ft1NoNoNo3Pro & Farm894,167$894,167$0$0$No894,167$894,167$
Ryan MacInnisAdmirals (ANA)C241996-02-13Yes185 Lbs6 ft3NoNoNo3Pro & Farm874,125$874,125$0$0$No874,125$874,125$
Sasha ChmelevskiAdmirals (ANA)C/RW211999-06-09Yes187 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Taylor RaddyshAdmirals (ANA)C/RW221998-02-18Yes216 Lbs6 ft3NoNoNo3Pro & Farm894,166$894,166$0$0$No894,166$894,166$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2422.13187 Lbs6 ft11.92968,148$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Joel KivirantaTaylor RaddyshNicholas Caamano35122
2Axel Jonsson-FjallbySasha ChmelevskiLukas Jasek30122
3Nathan NoelRyan MacInnisRiley Sutter25122
4Taylor RaddyshJordy BelleriveManuel Wiederer10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Henri JokiharjuJacob Larsson35122
2Brogan RaffertyLucas Carlsson30122
3Michael AndersonLeon Gawanke25122
4Henri JokiharjuJacob Larsson10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Joel KivirantaTaylor RaddyshNicholas Caamano60122
2Axel Jonsson-FjallbySasha ChmelevskiLukas Jasek40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Henri JokiharjuJacob Larsson60122
2Brogan RaffertyLucas Carlsson40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Taylor RaddyshNicholas Caamano60122
2Sasha ChmelevskiJoel Kiviranta40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Henri JokiharjuJacob Larsson60122
2Brogan RaffertyLucas Carlsson40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Taylor Raddysh60122Henri JokiharjuJacob Larsson60122
2Nicholas Caamano40122Brogan RaffertyLucas Carlsson40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Taylor RaddyshNicholas Caamano60122
2Sasha ChmelevskiJoel Kiviranta40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Henri JokiharjuJacob Larsson60122
2Brogan RaffertyLucas Carlsson40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Joel KivirantaTaylor RaddyshNicholas CaamanoHenri JokiharjuJacob Larsson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Joel KivirantaTaylor RaddyshNicholas CaamanoHenri JokiharjuJacob Larsson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Deven Sideroff, Ryan MacInnis, Jordy BelleriveDeven Sideroff, Ryan MacInnisJordy Bellerive
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Michael Anderson, Leon Gawanke, Brogan RaffertyMichael AndersonLeon Gawanke, Brogan Rafferty
Tirs de Pénalité
Taylor Raddysh, Nicholas Caamano, Sasha Chmelevski, Joel Kiviranta, Ryan MacInnis
Gardien
#1 : Mikhail Berdin, #2 : Adam Werner


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
LigueDomicileVisiteur
# 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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


Derniers Match 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



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,323,558$ 2,323,558$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 0$




LigueDomicileVisiteur
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
202082303702076182206-24411717010339598-34113200104387108-218418231549736675452161421438499473591572432120115674465211.66%5036587.08%41107216451.16%1015221445.84%577118148.86%1940131220086271042515
Total Saison Régulière82303702076182206-24411717010339598-34113200104387108-218418231549736675452161421438499473591572432120115674465211.66%5036587.08%41107216451.16%1015221445.84%577118148.86%1940131220086271042515