Connexion

Monarchs
GP: 10 | W: 7 | L: 1 | OTL: 2 | P: 16
GF: 36 | GA: 21 | PP%: 16.07% | PK%: 82.00%
DG: dispo | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Monarchs
7-1-2, 16pts
2
FINAL
0 Heat
6-4-0, 12pts
Team Stats
W6SéquenceW1
5-0-0Fiche domicile3-2-0
2-1-2Fiche domicile3-2-0
7-1-2Derniers 10 matchs6-4-0
3.60Buts par match 2.50
2.10Buts contre par match 1.70
16.07%Pourcentage en avantage numérique12.31%
82.00%Pourcentage en désavantage numérique96.08%
Gulls
5-4-1, 11pts
2
FINAL
4 Monarchs
7-1-2, 16pts
Team Stats
L2SéquenceW6
2-2-1Fiche domicile5-0-0
3-2-0Fiche domicile2-1-2
5-4-1Derniers 10 matchs7-1-2
2.50Buts par match 3.60
2.80Buts contre par match 2.10
19.30%Pourcentage en avantage numérique16.07%
90.20%Pourcentage en désavantage numérique82.00%
Meneurs d'équipe
Buts
Phillip Di Giuseppe
6
Passes
Mason Appleton
8
Points
Phillip Di Giuseppe
13
Plus/Moins
Phillip Di Giuseppe
10
Victoires
Felix Sandstrom
7
Pourcentage d’arrêts
Felix Sandstrom
0.914

Statistiques d’équipe
Buts pour
36
3.60 GFG
Tirs pour
188
18.80 Avg
Pourcentage en avantage numérique
16.1%
9 GF
Début de zone offensive
38.8%
Buts contre
21
2.10 GAA
Tirs contre
187
18.70 Avg
Pourcentage en désavantage numérique
82.0%%
9 GA
Début de la zone défensive
41.2%
Informations de l'équipe

Directeur généraldispo
EntraîneurLuke Richardson
DivisionDivision 5
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure19
Limite contact 44 / 60
Espoirs19


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
1Ty Dellandrea0XX100.008057817567689359566860762557586850002311,400,833$
2Cole Sillinger0X100.008144898271659463786157672559596550002031,633,333$
3Nikita Alexandrov (R)0X100.00754390637055845959626060254646635000231894,167$
4Vitali Kravtsov (R)0XX100.00674292747059546225595960254848615000233875,000$
5Samuel Fagemo (R)0XX100.00777094707077825950476765644545665000233910,833$
6Thomas Bordeleau (R)0XX100.00716388706374776278566462614545655000213925,000$
7Matej Blumel (R)0X100.00797197677171736450606467614444675000233925,000$
8Filip Hallander (R)0X100.00757086697069716480626265594444655000233913,333$
9Brendan Brisson (R)0XXX100.00666472656466686278586260594444635000213925,000$
10Axel Jonsson-Fjallby (R)0X100.00734294656457666130636272254848665000251750,000$
11Alexander Nylander (R)0XX100.00787194737179836650616867654444695000251874,125$
12Jake Leschyshyn0X100.00814492726653815176505563255454605000242766,667$
13Reilly Walsh (R)0X100.00716684676680875525514560434444575000242925,000$
14Lukas Cormier (R)0X100.00706580676574795725495160484444595000213793,333$
15Timothy Liljegren0X100.008144867870748261255350802559606450002421,263,333$
16Martin Fehervary0X100.00975786787580905925515086256061665000243880,000$
17Pierre-Olivier Joseph0X100.00774483727067876625554969255656625000242825,000$
Rayé
1Phillip Di Giuseppe0X100.0082448676706872653265727225646571500N03011,000,000$
2Mason Appleton0XX100.00764493807273715931726277256465695000273900,000$
3Dmitri Samorukov (R)0X100.00756988656971774925424161394444535000243863,333$
4Jack Thompson (R)0X100.00736591646576844925404260404444545000213902,500$
5Isaak Phillips (R)0X100.00828790647467835925594880254545645000221925,000$
MOYENNE D’ÉQUIPE100.0077588871696979604457576838505064500
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
1Felix Sandstrom (R)0100.0060646176655469616560754646625000263750,000$
Rayé
1Remi Poirier (R)0100.005851647961595663595830444458500N0221836,667$
2Keith Kinkaid1100.005752657660605159585730616157500N0341750,000$
MOYENNE D’ÉQUIPE100.005856637762585961615845505059500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Luke Richardson79807775787780CAN552500,000$


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
1Phillip Di GiuseppeMonarchs (LAK)LW767131080116134846.15%113018.620332250001221030.23%4300002.0000000211
2Mason AppletonMonarchs (LAK)C/RW928109401322146714.29%018921.022026340001340135.45%18900001.0601000120
3Cole SillingerMonarchs (LAK)C101780201513155166.67%220120.121235450000221057.37%19000000.8002000001
4Vitali KravtsovMonarchs (LAK)LW/RW1026880039205910.00%013613.6500000000090025.00%400001.1700000000
5Filip HallanderMonarchs (LAK)C1034761006171041330.00%014214.2801108000010055.12%12700000.9801000100
6Isaak PhillipsMonarchs (LAK)D907738018124220%416818.73055435000022000%000000.8300000000
7Alexander NylanderMonarchs (LAK)LW/RW1043701610612196521.05%118218.230004480001151042.11%1900000.7700002010
8Ty DellandreaMonarchs (LAK)C/RW1051622012111081450.00%319619.620111450000242041.18%3400010.6102000111
9Pierre-Olivier JosephMonarchs (LAK)D1033651601110104730.00%720820.85303644000028010%000000.5800000101
10Timothy LiljegrenMonarchs (LAK)D100554809555100%523523.55033546000036000%000000.4200000001
11Thomas BordeleauMonarchs (LAK)C/LW9044620367020%2616.8700000000000059.26%2700001.2900000010
12Matej BlumelMonarchs (LAK)LW10134395611206165.00%016316.31022333000000050.00%800000.4900001000
13Axel Jonsson-FjallbyMonarchs (LAK)LW1022462031163933.33%0949.49000000000190025.00%1200000.8400000011
14Samuel FagemoMonarchs (LAK)LW/RW102132951081351115.38%016516.55101331000030050.00%1400000.3600010000
15Martin FehervaryMonarchs (LAK)D102134802011123916.67%823923.98202947000038200%000000.2500000001
16Nikita AlexandrovMonarchs (LAK)C101122403441125.00%0595.9800006000030048.28%2900000.6700000000
17Reilly WalshMonarchs (LAK)D91014809240125.00%314916.6100002000013000%000000.1300000000
18Lukas CormierMonarchs (LAK)D101019100144112100.00%716816.85000010000011000%000000.1200000000
19Brendan BrissonMonarchs (LAK)C/LW/RW2011120021130%0168.00000000000000100.00%100001.2500000000
20Dmitri SamorukovMonarchs (LAK)D1000100000100%01616.720000000003000%00000000000000
21Jake LeschyshynMonarchs (LAK)C2000020000000%073.9800000000000057.14%70000000000000
Statistiques d’équipe totales ou en moyenne178366410085130201721761887014519.15%43293416.49917264846600033097247.02%70400010.6806013677
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
1Felix SandstromMonarchs (LAK)97020.9141.6551001141620100.500482100
2Keith KinkaidMonarchs (LAK)20100.8003.0399005250000026000
Statistiques d’équipe totales ou en moyenne117120.8981.8761001191870104108100


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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible 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 10Lien
Alexander NylanderMonarchs (LAK)LW/RW251998-03-02Yes192 Lbs6 ft1NoNoNoNo1Pro & Farm874,125$874,125$874,125$874,125$0$0$NoLien
Axel Jonsson-FjallbyMonarchs (LAK)LW251998-02-10Yes170 Lbs6 ft0NoNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Brendan BrissonMonarchs (LAK)C/LW/RW212001-10-22Yes179 Lbs5 ft11NoNoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$
Cole SillingerMonarchs (LAK)C202003-05-16No197 Lbs6 ft0NoNoNoNo3Pro & Farm1,633,333$1,633,333$1,633,333$1,633,333$0$0$No1,633,333$1,633,333$Lien
Dmitri SamorukovMonarchs (LAK)D241999-06-16Yes181 Lbs6 ft2NoNoNoNo3Pro & Farm863,333$863,333$863,333$863,333$0$0$No863,333$863,333$Lien
Felix SandstromMonarchs (LAK)G261997-01-12Yes192 Lbs6 ft2NoNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Filip HallanderMonarchs (LAK)C232000-06-29Yes188 Lbs6 ft2NoNoNoNo3Pro & Farm913,333$913,333$913,333$913,333$0$0$No913,333$913,333$Lien
Isaak PhillipsMonarchs (LAK)D222001-09-28Yes193 Lbs6 ft2NoNoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLien
Jack ThompsonMonarchs (LAK)D212002-03-19Yes178 Lbs6 ft0NoNoNoNo3Pro & Farm902,500$902,500$902,500$902,500$0$0$No902,500$902,500$
Jake LeschyshynMonarchs (LAK)C241999-03-10No181 Lbs5 ft11NoNoNoNo2Pro & Farm766,667$766,667$766,667$766,667$0$0$No766,667$Lien
Keith KinkaidMonarchs (LAK)G341989-07-03No186 Lbs6 ft3YesNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Lukas CormierMonarchs (LAK)D212002-03-27Yes180 Lbs5 ft10NoNoNoNo3Pro & Farm793,333$793,333$793,333$793,333$0$0$No793,333$793,333$
Martin FehervaryMonarchs (LAK)D241999-10-06No200 Lbs6 ft2NoNoNoNo3Pro & Farm880,000$880,000$880,000$880,000$0$0$No880,000$880,000$Lien
Mason AppletonMonarchs (LAK)C/RW271996-01-15No193 Lbs6 ft2NoNoNoNo3Pro & Farm900,000$900,000$900,000$900,000$0$0$No900,000$900,000$Lien
Matej BlumelMonarchs (LAK)LW232000-05-31Yes198 Lbs6 ft0NoNoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$
Nikita AlexandrovMonarchs (LAK)C232000-09-16Yes190 Lbs6 ft0NoNoNoNo1Pro & Farm894,167$894,167$894,167$894,167$0$0$NoLien
Phillip Di GiuseppeMonarchs (LAK)LW301993-09-10No192 Lbs6 ft0YesNoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$NoLien
Pierre-Olivier JosephMonarchs (LAK)D241999-07-01No185 Lbs6 ft2NoNoNoNo2Pro & Farm825,000$825,000$825,000$825,000$0$0$No825,000$Lien
Reilly WalshMonarchs (LAK)D241999-04-21Yes181 Lbs5 ft11NoNoNoNo2Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$Lien
Remi PoirierMonarchs (LAK)G222001-06-10Yes205 Lbs6 ft2YesNoNoNo1Pro & Farm836,667$836,667$836,667$836,667$0$0$NoLien
Samuel FagemoMonarchs (LAK)LW/RW232000-03-14Yes190 Lbs6 ft0NoNoNoNo3Pro & Farm910,833$910,833$910,833$910,833$0$0$No910,833$910,833$Lien
Thomas BordeleauMonarchs (LAK)C/LW212002-03-01Yes175 Lbs5 ft10NoNoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$
Timothy LiljegrenMonarchs (LAK)D241999-04-30No190 Lbs6 ft0NoNoNoNo2Pro & Farm1,263,333$1,263,333$1,263,333$1,263,333$0$0$No1,263,333$Lien
Ty DellandreaMonarchs (LAK)C/RW232000-07-20No184 Lbs6 ft0NoNoNoNo1Pro & Farm1,400,833$1,400,833$863,333$863,333$0$0$NoLien
Vitali KravtsovMonarchs (LAK)LW/RW231999-12-23Yes183 Lbs6 ft3NoNoNoNo3Pro & Farm875,000$875,000$875,000$875,000$0$0$No875,000$875,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2523.88187 Lbs6 ft12.20936,298$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander NylanderCole SillingerTy Dellandrea35122
2Matej BlumelFilip HallanderSamuel Fagemo30122
3Axel Jonsson-FjallbyNikita AlexandrovVitali Kravtsov25122
4Thomas BordeleauJake LeschyshynBrendan Brisson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Martin FehervaryTimothy Liljegren35122
2Pierre-Olivier Joseph30122
3Lukas CormierReilly Walsh25122
4Martin FehervaryTimothy Liljegren10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander NylanderCole SillingerTy Dellandrea60122
2Matej BlumelFilip HallanderSamuel Fagemo40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Martin FehervaryTimothy Liljegren60122
2Pierre-Olivier Joseph40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ty DellandreaAxel Jonsson-Fjallby60122
2Cole SillingerAlexander Nylander40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Martin FehervaryTimothy Liljegren60122
2Pierre-Olivier Joseph40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ty Dellandrea60122Martin FehervaryTimothy Liljegren60122
2Cole Sillinger40122Pierre-Olivier Joseph40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Filip HallanderTy Dellandrea60122
2Cole SillingerAlexander Nylander40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Martin FehervaryTimothy Liljegren60122
2Pierre-Olivier Joseph40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander NylanderCole SillingerTy DellandreaMartin FehervaryTimothy Liljegren
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Axel Jonsson-FjallbyTy DellandreaAlexander NylanderMartin FehervaryTimothy Liljegren
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nikita Alexandrov, Filip Hallander, Axel Jonsson-FjallbyNikita Alexandrov, Filip HallanderAxel Jonsson-Fjallby
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Lukas Cormier, Reilly Walsh, Pierre-Olivier JosephLukas CormierReilly Walsh, Pierre-Olivier Joseph
Tirs de pénalité
Brendan Brisson, Ty Dellandrea, Cole Sillinger, Alexander Nylander, Matej Blumel
Gardien
#1 : , #2 : Felix Sandstrom
Lignes d’attaque personnalisées en prolongation
Brendan Brisson, Ty Dellandrea, Cole Sillinger, Alexander Nylander, Matej Blumel, Filip Hallander, Filip Hallander, Axel Jonsson-Fjallby, Thomas Bordeleau, Samuel Fagemo, Vitali Kravtsov
Lignes de défense personnalisées en prolongation
Martin Fehervary, Timothy Liljegren, Pierre-Olivier Joseph, , Lukas Cormier


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
1Barracuda220000001147110000007251100000042241.00011193000131211041576269636625319333.33%9277.78%013027247.79%13528946.71%6614047.14%2521732297612765
2Condors2110000034-1110000003211010000002-220.50035800131211038576269633933281218.33%11281.82%013027247.79%13528946.71%6614047.14%2521732297612765
3Gulls21000001871110000004221000000145-130.75081422001312110395762696416313910110.00%13376.92%013027247.79%13528946.71%6614047.14%2521732297612765
4Heat22000000624110000004221100000020241.000611170113121103757626963914172910110.00%60100.00%013027247.79%13528946.71%6614047.14%2521732297612765
5Moose21000001844110000006151000000123-130.75081523001312110335762696388244515320.00%11281.82%013027247.79%13528946.71%6614047.14%2521732297612765
Total10710000236211555000000249155210000212120160.800366410001131211018857626961874313017256916.07%50982.00%013027247.79%13528946.71%6614047.14%2521732297612765
_Since Last GM Reset10710000236211555000000249155210000212120160.800366410001131211018857626961874313017256916.07%50982.00%013027247.79%13528946.71%6614047.14%2521732297612765
_Vs Conference851000023019114400000020713411000021012-2120.75030538300131211015157626961482911314346817.39%44979.55%013027247.79%13528946.71%6614047.14%2521732297612765
_Vs Division10510000236211554000000249155110000212120120.600366410001131211018857626961874313017256916.07%50982.00%013027247.79%13528946.71%6614047.14%2521732297612765

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1016W636641001881874313017201
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
107100023621
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
5500000249
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
52100021212
Derniers 10 matchs
WLOTWOTL SOWSOL
710002
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
56916.07%50982.00%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
57626961312110
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
13027247.79%13528946.71%6614047.14%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2521732297612765


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
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
12Barracuda2Monarchs7BWSommaire du match
217Monarchs2Moose3ALXXSommaire du match
331Monarchs0Condors2ALSommaire du match
433Monarchs4Gulls5ALXXSommaire du match
543Heat2Monarchs4BWSommaire du match
757Monarchs4Barracuda2AWSommaire du match
866Moose1Monarchs6BWSommaire du match
1083Condors2Monarchs3BWSommaire du match
1193Monarchs2Heat0AWSommaire du match
13104Gulls2Monarchs4BWSommaire 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
31 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,340,744$ 2,286,994$ 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$




Monarchs 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

Monarchs 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

Monarchs 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

Monarchs 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

Monarchs 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