Connexion

Monarchs
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Patrick Poulin | Morale : 50 | Moyenne d’équipe : N/A
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralPatrick Poulin
DivisionDivision 5
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure15
Limite contact 37 / 60
Espoirs33


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
1Daniel Sprong0X100.00694395847363786625607260756566695000254750,000$
2Samuel Fagemo (R)0XX100.00736982706972756250546763644444655000224910,833$
3Matias Maccelli (R)0X100.00654194676167626925675668254646645000214925,000$
4Filip Hallander (R)0XX100.00777288697258595771515964564444615000214913,333$
5Nicholas Merkley0X100.00754399796862766956676076254747685000251750,000$
6Alexandre Texier0XX100.00634189836968686141708282755858775000221925,000$
7Ryan Poehling0XX100.006943967473627269766270682555557050002311,491,667$
8Alexander Nylander (R)0XX100.00787194737156556250566366604444655000242874,125$
9Jake Leschyshyn0X100.00764393726959835368605774254747645000231927,500$
10Ryan Lomberg0XX100.00869056766859705929637077255556705000271700,000$
11Dmitri Samorukov (R)0X100.00747376657355565125464161394444535000234863,333$
12Reilly Walsh (R)0X100.00756892676873785625524663444444585000233925,000$
13Jacob Middleton0X100.00839966778276706025514885255959635000264725,000$
14Isaak Phillips (R)0X100.00757379647369735325415162484444575000202925,000$
15Gianni Fairbrother (R)0X100.00647051617043424925424055384444485000214903,333$
16Brennan Menell (R)0X100.00676475706446464925434057384444515000254750,000$
17Timothy Liljegren0X100.007944927870706763256449762553536450002331,263,333$
18Martin Fehervary0X100.00974789787280775825495082255555655000221894,167$
19Pierre-Olivier Joseph0X100.007370797270737857254951624845456050002211,075,833$
Rayé
MOYENNE D’ÉQUIPE100.0075618373706468593855566841494963500
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
Rayé
1Felix Sandstrom (R)100.0050455675525251565453304444525000254750,000$
2Jack LaFontaine (R)100.00464050824648515351513044444950002431,000,000$
3David Hrenak (R)100.0044405075454445494545454444455000241925,000$
MOYENNE D’ÉQUIPE100.004742527748484953505035444449500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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 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
Alexander NylanderMonarchs (LAK)LW/RW241998-03-02Yes192 Lbs6 ft1NoNoNo2Pro & Farm874,125$874,125$874,125$874,125$0$0$No874,125$Lien
Alexandre TexierMonarchs (LAK)C/LW221999-09-12No186 Lbs6 ft1NoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLien
Brennan MenellMonarchs (LAK)D251997-05-24Yes177 Lbs5 ft11NoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$Lien
Daniel SprongMonarchs (LAK)RW251997-03-17No200 Lbs6 ft0NoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$Lien
David HrenakMonarchs (LAK)G241998-05-05Yes190 Lbs6 ft2NoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$No
Dmitri SamorukovMonarchs (LAK)D231999-06-16Yes198 Lbs6 ft2NoNoNo4Pro & Farm863,333$863,333$863,333$863,333$0$0$No863,333$863,333$863,333$
Felix SandstromMonarchs (LAK)G251997-01-12Yes191 Lbs6 ft2NoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$Lien
Filip HallanderMonarchs (LAK)C/LW212000-06-29Yes196 Lbs6 ft1NoNoNo4Pro & Farm913,333$913,333$913,333$913,333$0$0$No913,333$913,333$913,333$
Gianni FairbrotherMonarchs (LAK)D212000-09-30Yes190 Lbs6 ft0NoNoNo4Pro & Farm903,333$903,333$903,333$903,333$0$0$No903,333$903,333$903,333$
Isaak PhillipsMonarchs (LAK)D202001-09-28Yes194 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$Lien
Jack LaFontaineMonarchs (LAK)G241998-01-06Yes209 Lbs6 ft3NoNoNo3Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$No1,000,000$1,000,000$
Jacob MiddletonMonarchs (LAK)D261996-01-02No210 Lbs6 ft3NoNoNo4Pro & Farm725,000$725,000$725,000$725,000$0$0$No725,000$725,000$725,000$Lien
Jake LeschyshynMonarchs (LAK)C231999-03-10No190 Lbs5 ft11NoNoNo1Pro & Farm927,500$927,500$927,500$927,500$0$0$NoLien
Martin FehervaryMonarchs (LAK)D221999-10-06No194 Lbs6 ft2NoNoNo1Pro & Farm894,167$894,167$894,167$894,167$0$0$NoLien
Matias MaccelliMonarchs (LAK)LW212000-10-14Yes165 Lbs5 ft11NoNoNo4Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$925,000$
Nicholas MerkleyMonarchs (LAK)RW251997-05-23No194 Lbs5 ft10NoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Pierre-Olivier JosephMonarchs (LAK)D221999-07-01No185 Lbs6 ft2NoNoNo1Pro & Farm1,075,833$1,075,833$1,075,833$1,075,833$0$0$NoLien
Reilly WalshMonarchs (LAK)D231999-04-21Yes185 Lbs6 ft0NoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$Lien
Ryan LombergMonarchs (LAK)LW/RW271994-12-09No187 Lbs5 ft9NoNoNo1Pro & Farm700,000$700,000$700,000$700,000$0$0$NoLien
Ryan PoehlingMonarchs (LAK)C/LW231999-01-03No197 Lbs6 ft2NoNoNo1Pro & Farm1,491,667$1,491,667$1,491,667$1,491,667$0$0$NoLien
Samuel FagemoMonarchs (LAK)LW/RW222000-03-14Yes190 Lbs5 ft11NoNoNo4Pro & Farm910,833$910,833$910,833$910,833$0$0$No910,833$910,833$910,833$Lien
Timothy LiljegrenMonarchs (LAK)D231999-04-30No192 Lbs6 ft0NoNoNo3Pro & Farm1,263,333$1,263,333$1,263,333$1,263,333$0$0$No1,263,333$1,263,333$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2223.23191 Lbs6 ft12.59916,703$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Daniel Sprong35122
2Alexandre Texier30122
3Ryan PoehlingNicholas Merkley25122
4Samuel FagemoJake Leschyshyn10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob Middleton35122
2Timothy LiljegrenPierre-Olivier Joseph30122
3Martin FehervaryReilly Walsh25122
4Jacob Middleton10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Daniel Sprong60122
2Alexandre Texier40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob Middleton60122
2Timothy LiljegrenPierre-Olivier Joseph40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Alexandre Texier40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob Middleton60122
2Timothy LiljegrenPierre-Olivier Joseph40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Jacob Middleton60122
240122Timothy LiljegrenPierre-Olivier Joseph40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Alexandre Texier40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob Middleton60122
2Timothy LiljegrenPierre-Olivier Joseph40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Daniel SprongJacob Middleton
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Daniel SprongJacob Middleton
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Poehling, Nicholas Merkley, Ryan Poehling, Nicholas Merkley
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Martin Fehervary, Reilly Walsh, Timothy LiljegrenMartin FehervaryReilly Walsh, Timothy Liljegren
Tirs de pénalité
, , , Alexandre Texier, Daniel Sprong
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,
Lignes de défense personnalisées en prolongation
, , , ,


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%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
000.00%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 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
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

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

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,016,744$ 2,016,744$ 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 (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 (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