Connexion

Monarchs
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: dispo | Morale : 50 | Moyenne d’équipe : N/A
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure21
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
1Cole Sillinger0X100.008144898271659463786157672559596550002031,633,333$
2Nikita Alexandrov (R)0X100.00754390637055845959626060254646635000221894,167$
3Vitali Kravtsov (R)0XX100.00674292747059546225595960254848615000233875,000$
4Samuel Fagemo (R)0XX100.00777094707077825950476765644545665000233910,833$
5Thomas Bordeleau (R)0XX100.00716388706374776278566462614545655000213925,000$
6Matej Blumel (R)0X100.00797197677171736450606467614444675000233925,000$
7Filip Hallander (R)0X100.00757086697069716480626265594444655000233913,333$
8Mason Appleton0XX100.00764493807273715931726277256465695000273900,000$
9Nicolas Aube-Kubel0X100.0087567976685981643862586925646565500N02711,000,000$
10Taylor Raddysh0X100.00764492747374938749677763256060745000251758,333$
11Axel Jonsson-Fjallby (R)0X100.00734294656457666130636272254848665000251750,000$
12Jake Leschyshyn0X100.00814492726653815176505563255454605000242766,667$
13Jack Thompson (R)0X100.00736591646576844925404260404444545000213902,500$
14Reilly Walsh (R)0X100.00716684676680875525514560434444575000242925,000$
15Lukas Cormier (R)0X100.00706580676574795725495160484444595000213793,333$
16Isaak Phillips (R)0X100.00828790647467835925594880254545645000211925,000$
17Matthew Kessel (R)0X100.00757674647659615225494162394444545000231925,000$
18Pierre-Olivier Joseph0X100.00774483727067876625554969255656625000242825,000$
Rayé
1Brendan Brisson (R)0XXX100.00666472656466686278586260594444635000213925,000$
2Dmitri Samorukov (R)0X100.00756988656971774925424161394444535000243863,333$
MOYENNE D’ÉQUIPE100.0075588770696778604556566538494963500
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$
2Keith Kinkaid1100.005752657660605159585730616157500N0341750,000$
Rayé
1Remi Poirier (R)0100.005851647961595663595830444458500N0221836,667$
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
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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Non Activé 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 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Axel Jonsson-FjallbyMonarchs (LAK)LW251998-02-10Yes170 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$321,429$750,000$321,429$0$0$No------------------Lien
Brendan BrissonMonarchs (LAK)C/LW/RW212001-10-22Yes179 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm925,000$396,429$925,000$396,429$0$0$No925,000$925,000$-------NoNo-------
Cole SillingerMonarchs (LAK)C202003-05-16No197 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm1,633,333$700,000$1,633,333$700,000$0$0$No1,633,333$1,633,333$-------NoNo-------Lien
Dmitri SamorukovMonarchs (LAK)D241999-06-16Yes181 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm863,333$370,000$863,333$370,000$0$0$No863,333$863,333$-------NoNo-------Lien
Felix SandstromMonarchs (LAK)G261997-01-12Yes192 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm750,000$321,429$750,000$321,429$0$0$No750,000$750,000$-------NoNo-------Lien
Filip HallanderMonarchs (LAK)C232000-06-29Yes188 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm913,333$391,428$913,333$391,428$0$0$No913,333$913,333$-------NoNo-------Lien
Isaak PhillipsMonarchs (LAK)D212001-09-28Yes193 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm925,000$396,429$925,000$396,429$0$0$No------------------Lien
Jack ThompsonMonarchs (LAK)D212002-03-19Yes178 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm902,500$386,786$902,500$386,786$0$0$No902,500$902,500$-------NoNo-------
Jake LeschyshynMonarchs (LAK)C241999-03-10No181 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm766,667$328,572$766,667$328,572$0$0$No766,667$--------No--------Lien
Keith KinkaidMonarchs (LAK)G341989-07-03No186 Lbs6 ft3YesNoN/ANoNo1FalseFalsePro & Farm750,000$321,429$750,000$321,429$0$0$No------------------Lien
Lukas CormierMonarchs (LAK)D212002-03-27Yes180 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm793,333$340,000$793,333$340,000$0$0$No793,333$793,333$-------NoNo-------
Mason AppletonMonarchs (LAK)C/RW271996-01-15No193 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm900,000$385,714$900,000$385,714$0$0$No900,000$900,000$-------NoNo-------Lien
Matej BlumelMonarchs (LAK)LW232000-05-31Yes198 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm925,000$396,429$925,000$396,429$0$0$No925,000$925,000$-------NoNo-------
Matthew KesselMonarchs (LAK)D232000-06-23Yes205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm925,000$396,429$925,000$396,429$0$0$No------------------Lien
Nicolas Aube-KubelMonarchs (LAK)RW271996-05-09No187 Lbs5 ft11YesNoN/ANoNo1FalseFalsePro & Farm1,000,000$428,571$1,000,000$428,571$0$0$No------------------Lien
Nikita AlexandrovMonarchs (LAK)C222000-09-16Yes190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm894,167$383,214$894,167$383,214$0$0$No------------------Lien
Pierre-Olivier JosephMonarchs (LAK)D241999-07-01No185 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm825,000$353,571$825,000$353,571$0$0$No825,000$--------No--------Lien
Reilly WalshMonarchs (LAK)D241999-04-21Yes181 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm925,000$396,429$925,000$396,429$0$0$No925,000$--------No--------Lien
Remi PoirierMonarchs (LAK)G222001-06-10Yes205 Lbs6 ft2YesNoN/ANoNo1FalseFalsePro & Farm836,667$358,572$836,667$358,572$0$0$No------------------Lien
Samuel FagemoMonarchs (LAK)LW/RW232000-03-14Yes190 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm910,833$390,357$910,833$390,357$0$0$No910,833$910,833$-------NoNo-------Lien
Taylor RaddyshMonarchs (LAK)RW251998-02-18No198 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm758,333$325,000$758,333$325,000$0$0$No------------------Lien
Thomas BordeleauMonarchs (LAK)C/LW212002-03-01Yes175 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm925,000$396,429$925,000$396,429$0$0$No925,000$925,000$-------NoNo-------
Vitali KravtsovMonarchs (LAK)LW/RW231999-12-23Yes183 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm875,000$375,000$875,000$375,000$0$0$No875,000$875,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2323.65188 Lbs6 ft12.17898,804$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matej BlumelMason AppletonTaylor Raddysh35122
2Thomas BordeleauCole SillingerNicolas Aube-Kubel30122
3Axel Jonsson-FjallbyFilip HallanderSamuel Fagemo25122
4Vitali KravtsovNikita AlexandrovTaylor Raddysh10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre-Olivier JosephIsaak Phillips35122
2Lukas CormierReilly Walsh30122
3Jack ThompsonMatthew Kessel25122
4Pierre-Olivier JosephIsaak Phillips10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matej BlumelMason AppletonTaylor Raddysh60122
2Thomas BordeleauCole SillingerNicolas Aube-Kubel40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre-Olivier JosephIsaak Phillips60122
2Lukas CormierReilly Walsh40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Taylor RaddyshMason Appleton60122
2Cole SillingerNicolas Aube-Kubel40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre-Olivier JosephIsaak Phillips60122
2Lukas CormierReilly Walsh40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Taylor Raddysh60122Pierre-Olivier JosephIsaak Phillips60122
2Mason Appleton40122Lukas CormierReilly Walsh40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Taylor RaddyshMason Appleton60122
2Cole SillingerNicolas Aube-Kubel40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre-Olivier JosephIsaak Phillips60122
2Lukas CormierReilly Walsh40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matej BlumelMason AppletonTaylor RaddyshPierre-Olivier JosephIsaak Phillips
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matej BlumelMason AppletonTaylor RaddyshPierre-Olivier JosephIsaak Phillips
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jake Leschyshyn, Axel Jonsson-Fjallby, Samuel FagemoJake Leschyshyn, Axel Jonsson-FjallbySamuel Fagemo
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jack Thompson, Matthew Kessel, Lukas CormierJack ThompsonMatthew Kessel, Lukas Cormier
Tirs de pénalité
Taylor Raddysh, Mason Appleton, Cole Sillinger, Nicolas Aube-Kubel, Matej Blumel
Gardien
#1 : Felix Sandstrom, #2 : Keith Kinkaid
Lignes d’attaque personnalisées en prolongation
Taylor Raddysh, Mason Appleton, Cole Sillinger, Nicolas Aube-Kubel, Matej Blumel, Thomas Bordeleau, Thomas Bordeleau, Axel Jonsson-Fjallby, Samuel Fagemo, Filip Hallander, Nikita Alexandrov
Lignes de défense personnalisées en prolongation
Pierre-Olivier Joseph, Isaak Phillips, Lukas Cormier, Reilly Walsh, Jack Thompson


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
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%000%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%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

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

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,067,249$ 2,067,249$ 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$ 6 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