Connexion

Monarchs
GP: 18 | W: 7 | L: 9 | OTL: 2 | P: 16
GF: 47 | GA: 56 | PP%: 15.52% | PK%: 80.33%
DG: dispo | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #197 vs Heat
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Centre de jeu
Monarchs
7-9-2, 16pts
5
FINAL
4 Moose
8-6-3, 19pts
Team Stats
L1SéquenceL1
3-4-1Fiche domicile4-4-1
4-5-1Fiche domicile4-2-2
4-6-0Derniers 10 matchs3-4-3
2.61Buts par match 2.59
3.11Buts contre par match 2.29
15.52%Pourcentage en avantage numérique15.15%
80.33%Pourcentage en désavantage numérique88.18%
Eagles
11-6-0, 22pts
4
FINAL
2 Monarchs
7-9-2, 16pts
Team Stats
W5SéquenceL1
6-2-0Fiche domicile3-4-1
5-4-0Fiche domicile4-5-1
7-3-0Derniers 10 matchs4-6-0
2.18Buts par match 2.61
1.76Buts contre par match 3.11
11.88%Pourcentage en avantage numérique15.52%
92.22%Pourcentage en désavantage numérique80.33%
Heat
9-6-3, 21pts
Jour 35
Monarchs
7-9-2, 16pts
Statistiques d’équipe
L4SéquenceL1
4-3-2Fiche domicile3-4-1
5-3-1Fiche visiteur4-5-1
5-4-110 derniers matchs4-6-0
2.11Buts par match 2.61
1.83Buts contre par match 2.61
11.88%Pourcentage en avantage numérique15.52%
85.45%Pourcentage en désavantage numérique80.33%
IceHogs
8-4-5, 21pts
Jour 37
Monarchs
7-9-2, 16pts
Statistiques d’équipe
W1SéquenceL1
6-1-2Fiche domicile3-4-1
2-3-3Fiche visiteur4-5-1
5-1-410 derniers matchs4-6-0
2.71Buts par match 2.61
2.47Buts contre par match 2.61
11.21%Pourcentage en avantage numérique15.52%
87.76%Pourcentage en désavantage numérique80.33%
Monarchs
7-9-2, 16pts
Jour 38
Phantoms
11-6-0, 22pts
Statistiques d’équipe
L1SéquenceW3
3-4-1Fiche domicile5-4-0
4-5-1Fiche visiteur6-2-0
4-6-010 derniers matchs7-3-0
2.61Buts par match 2.82
3.11Buts contre par match 2.82
15.52%Pourcentage en avantage numérique14.95%
80.33%Pourcentage en désavantage numérique87.85%
Meneurs d'équipe
Buts
Cole Sillinger
7
Passes
Martin Fehervary
11
Points
Martin Fehervary
13
Plus/Moins
Conor Timmins
6
Victoires
Felix Sandstrom
6
Pourcentage d’arrêts
Felix Sandstrom
0.841

Statistiques d’équipe
Buts pour
47
2.61 GFG
Tirs pour
359
19.94 Avg
Pourcentage en avantage numérique
15.5%
18 GF
Début de zone offensive
40.5%
Buts contre
56
3.11 GAA
Tirs contre
321
17.83 Avg
Pourcentage en désavantage numérique
80.3%%
24 GA
Début de la zone défensive
38.2%
Informations de l'équipe

Directeur généraldispo
EntraîneurLuke Richardson
DivisionDivision 5
ConférenceConference 2
CapitaineAlexander Nylander
Assistant #1Michael Pezzetta
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure18
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$
3Phillip Di Giuseppe0X100.0082448676706872653265727225646571500N02911,000,000$
4Samuel Fagemo (R)0XX100.00777094707077825950476765644545665000233910,833$
5Matej Blumel (R)0X100.00797197677171736450606467614444675000233925,000$
6Filip Hallander (R)0X100.00757086697069716480626265594444655000233913,333$
7Brendan Brisson (R)0XXX100.00666472656466686278586260594444635000213925,000$
8Michael Pezzetta (A)0XX100.00999967708254785837616067755757655000251750,000$
9Nicolas Aube-Kubel0X100.0087567976685981643862586925646565500N02711,000,000$
10Ryan Poehling0XX100.00764494747562766073616490255959705000242750,000$
11Alexander Nylander (R) (C)0XX100.00787194737179836650616867654444695000251874,125$
12Jake Leschyshyn0X100.00814492726653815176505563255454605000242766,667$
13Conor Timmins (R)0X100.00774390777071466825704969255556625000241850,000$
14Reilly Walsh (R)0X100.00716684676680875525514560434444575000242925,000$
15Lukas Cormier (R)0X100.00706580676574795725495160484444595000213793,333$
16Isaak Phillips (R)0X100.00828790647467835925594880254545645000211925,000$
17Martin Fehervary0X100.00975786787580905925515086256061665000233880,000$
18Pierre-Olivier Joseph0X100.00774483727067876625554969255656625000242825,000$
Rayé
1Vitali Kravtsov (R)0XX100.00674292747059546225595960254848615000233875,000$
2Thomas Bordeleau (R)0XX100.00716388706374776278566462614545655000213925,000$
3Axel Jonsson-Fjallby (R)0X100.00734294656457666130636272254848665000251750,000$
4Dmitri Samorukov (R)0X100.00756988656971774925424161394444535000243863,333$
5Jack Thompson (R)0X100.00736591646576844925404260404444545000213902,500$
MOYENNE D’ÉQUIPE100.0078598770706877604557576740505063500
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
1Martin FehervaryMonarchs (LAK)D1721113424046213014166.67%1640323.751452291011076000%000000.6400000210
2Pierre-Olivier JosephMonarchs (LAK)D1821012-136027121161518.18%1437720.982571076000076110%000000.6400000010
3Filip HallanderMonarchs (LAK)C18561101009372143023.81%227115.093255420000190153.33%25500000.8101000020
4Alexander NylanderMonarchs (LAK)LW/RW185611295192535122314.29%133218.4712312971012500050.00%4800010.6601001110
5Cole SillingerMonarchs (LAK)C18731011009373241521.88%132418.0341513890000411055.19%33700010.6201000201
6Phillip Di GiuseppeMonarchs (LAK)LW18617014021283562117.14%332117.862028450000681133.03%10900000.4401000111
7Nicolas Aube-KubelMonarchs (LAK)RW17167-32001218176175.88%224014.151124330000280042.86%1400000.5800000000
8Samuel FagemoMonarchs (LAK)LW/RW162460201211212129.52%121613.55000226000080146.15%1300000.5511000101
9Mason AppletonKingsC/RW8066020121113280%315819.860448280000410030.88%13600000.7601000010
10Michael PezzettaMonarchs (LAK)LW/RW17336-427545121741717.65%025014.71033571000000050.00%1600000.4800100011
11Conor TimminsMonarchs (LAK)D101456100516123118.33%424224.220221159000049000%000000.4100000000
12Matej BlumelMonarchs (LAK)LW113252608111511420.00%01079.77101312000001154.17%2400000.9300000101
13Isaak PhillipsMonarchs (LAK)D18145-121529852520.00%1531717.61123338000051000%000000.3200010000
14Timothy LiljegrenKingsD81451604843725.00%816520.67112430000036100%000000.6000000011
15Ryan PoehlingMonarchs (LAK)C/LW10055140215187150%518118.120443430002460045.05%9100000.5500000000
16Taylor RaddyshKingsRW613434057136127.69%09115.18000526000260037.50%1600000.8800000000
17Nikita AlexandrovMonarchs (LAK)C18123-421561715136.67%21639.07011213000040050.72%13800000.3700000000
18Reilly WalshMonarchs (LAK)D18213-8180149111418.18%1132518.11101620000067000%000000.1800000000
19Lukas CormierMonarchs (LAK)D18123-914015451120.00%831717.63000151000029100%000000.1900000001
20Vitali KravtsovMonarchs (LAK)LW/RW10101-1202675314.29%110010.0100015000014000%200000.2000000000
21Thomas BordeleauMonarchs (LAK)C/LW31011000130033.33%0144.8100000000000037.50%800001.3900000001
22Ty DellandreaKingsC/RW1000-120031010%01717.37000120000100100.00%20000000000000
23Dmitri SamorukovMonarchs (LAK)D1000120200000%01313.320000000001000%00000000000000
24Brendan BrissonMonarchs (LAK)C/LW/RW5000-400137260%05811.70000030003220044.44%90000000000000
25Axel Jonsson-FjallbyMonarchs (LAK)LW130001100575550%01229.45000060000170014.29%140000000000000
26Jake LeschyshynMonarchs (LAK)C9000-340166320%0687.6300002000080050.72%690000000000000
Statistiques d’équipe totales ou en moyenne3244683129-162782031133335910026312.81%97520416.0618325012991911297706547.66%130100020.5016111898
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)146420.8412.6370720311950000.8336108000
2Keith KinkaidMonarchs (LAK)111500.8103.78381002412600000810000
Statistiques d’équipe totales ou en moyenne257920.8293.031089205532100061818000


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$688,021$874,125$688,021$0$0$NoLien
Axel Jonsson-FjallbyMonarchs (LAK)LW251998-02-10Yes170 Lbs6 ft0NoNoNoNo1Pro & Farm750,000$590,323$750,000$590,323$0$0$NoLien
Brendan BrissonMonarchs (LAK)C/LW/RW212001-10-22Yes179 Lbs5 ft11NoNoNoNo3Pro & Farm925,000$728,065$925,000$728,065$0$0$No925,000$925,000$
Cole SillingerMonarchs (LAK)C202003-05-16No197 Lbs6 ft0NoNoNoNo3Pro & Farm1,633,333$1,285,591$1,633,333$1,285,591$0$0$No1,633,333$1,633,333$Lien
Conor TimminsMonarchs (LAK)D241998-09-18Yes185 Lbs6 ft2NoNoNoNo1Pro & Farm850,000$669,032$850,000$669,032$0$0$NoLien
Dmitri SamorukovMonarchs (LAK)D241999-06-16Yes181 Lbs6 ft2NoNoNoNo3Pro & Farm863,333$679,527$863,333$679,527$0$0$No863,333$863,333$Lien
Felix SandstromMonarchs (LAK)G261997-01-12Yes192 Lbs6 ft2NoNoNoNo3Pro & Farm750,000$590,323$750,000$590,323$0$0$No750,000$750,000$Lien
Filip HallanderMonarchs (LAK)C232000-06-29Yes188 Lbs6 ft2NoNoNoNo3Pro & Farm913,333$718,881$913,333$718,881$0$0$No913,333$913,333$Lien
Isaak PhillipsMonarchs (LAK)D212001-09-28Yes193 Lbs6 ft2NoNoNoNo1Pro & Farm925,000$728,065$925,000$728,065$0$0$NoLien
Jack ThompsonMonarchs (LAK)D212002-03-19Yes178 Lbs6 ft0NoNoNoNo3Pro & Farm902,500$710,355$902,500$710,355$0$0$No902,500$902,500$
Jake LeschyshynMonarchs (LAK)C241999-03-10No181 Lbs5 ft11NoNoNoNo2Pro & Farm766,667$603,441$766,667$603,441$0$0$No766,667$Lien
Keith KinkaidMonarchs (LAK)G341989-07-03No186 Lbs6 ft3YesNoNoNo1Pro & Farm750,000$590,323$750,000$590,323$0$0$NoLien
Lukas CormierMonarchs (LAK)D212002-03-27Yes180 Lbs5 ft10NoNoNoNo3Pro & Farm793,333$624,430$793,333$624,430$0$0$No793,333$793,333$
Martin FehervaryMonarchs (LAK)D231999-10-06No200 Lbs6 ft2NoNoNoNo3Pro & Farm880,000$692,645$880,000$692,645$0$0$No880,000$880,000$Lien
Matej BlumelMonarchs (LAK)LW232000-05-31Yes198 Lbs6 ft0NoNoNoNo3Pro & Farm925,000$728,065$925,000$728,065$0$0$No925,000$925,000$
Michael PezzettaMonarchs (LAK)LW/RW251998-03-13No216 Lbs6 ft1NoNoNoNo1Pro & Farm750,000$590,323$750,000$590,323$0$0$NoLien
Nicolas Aube-KubelMonarchs (LAK)RW271996-05-09No187 Lbs5 ft11YesNoNoNo1Pro & Farm1,000,000$787,097$1,000,000$787,097$0$0$NoLien
Nikita AlexandrovMonarchs (LAK)C222000-09-16Yes190 Lbs6 ft0NoNoNoNo1Pro & Farm894,167$703,796$894,167$703,796$0$0$NoLien
Phillip Di GiuseppeMonarchs (LAK)LW291993-09-10No192 Lbs6 ft0YesNoNoNo1Pro & Farm1,000,000$787,097$1,000,000$787,097$0$0$NoLien
Pierre-Olivier JosephMonarchs (LAK)D241999-07-01No185 Lbs6 ft2NoNoNoNo2Pro & Farm825,000$649,355$825,000$649,355$0$0$No825,000$Lien
Reilly WalshMonarchs (LAK)D241999-04-21Yes181 Lbs5 ft11NoNoNoNo2Pro & Farm925,000$728,065$925,000$728,065$0$0$No925,000$Lien
Remi PoirierMonarchs (LAK)G222001-06-10Yes205 Lbs6 ft2YesNoNoNo1Pro & Farm836,667$658,538$836,667$658,538$0$0$NoLien
Ryan PoehlingMonarchs (LAK)C/LW241999-01-03No204 Lbs6 ft2NoNoNoNo2Pro & Farm750,000$590,323$750,000$590,323$0$0$No750,000$Lien
Samuel FagemoMonarchs (LAK)LW/RW232000-03-14Yes190 Lbs6 ft0NoNoNoNo3Pro & Farm910,833$716,914$910,833$716,914$0$0$No910,833$910,833$Lien
Thomas BordeleauMonarchs (LAK)C/LW212002-03-01Yes175 Lbs5 ft10NoNoNoNo3Pro & Farm925,000$728,065$925,000$728,065$0$0$No925,000$925,000$
Vitali KravtsovMonarchs (LAK)LW/RW231999-12-23Yes183 Lbs6 ft3NoNoNoNo3Pro & Farm875,000$688,710$875,000$688,710$0$0$No875,000$875,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2623.81189 Lbs6 ft12.08892,050$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander NylanderCole SillingerNicolas Aube-Kubel35122
2Ryan PoehlingFilip HallanderMichael Pezzetta30122
3Phillip Di GiuseppeNikita AlexandrovSamuel Fagemo25122
4Brendan BrissonJake LeschyshynNicolas Aube-Kubel10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Martin FehervaryConor Timmins35122
2Pierre-Olivier JosephIsaak Phillips30122
3Lukas CormierReilly Walsh25122
4Martin FehervaryConor Timmins10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander NylanderCole SillingerSamuel Fagemo60122
2Ryan PoehlingFilip HallanderMichael Pezzetta40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Martin FehervaryConor Timmins60122
2Pierre-Olivier JosephLukas Cormier40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ryan PoehlingBrendan Brisson60122
2Cole SillingerAlexander Nylander40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Martin FehervaryConor Timmins60122
2Pierre-Olivier JosephReilly Walsh40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ryan Poehling60122Martin FehervaryConor Timmins60122
2Cole Sillinger40122Pierre-Olivier JosephReilly Walsh40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Filip HallanderSamuel Fagemo60122
2Cole SillingerAlexander Nylander40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Martin FehervaryConor Timmins60122
2Pierre-Olivier JosephLukas Cormier40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander NylanderCole SillingerPhillip Di GiuseppeMartin FehervaryConor Timmins
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael PezzettaRyan PoehlingAlexander NylanderMartin FehervaryPierre-Olivier Joseph
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nikita Alexandrov, Filip Hallander, Brendan BrissonNikita Alexandrov, Filip HallanderJake Leschyshyn
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Lukas Cormier, Reilly Walsh, Pierre-Olivier JosephLukas CormierReilly Walsh, Pierre-Olivier Joseph
Tirs de pénalité
Filip Hallander, Samuel Fagemo, Cole Sillinger, Alexander Nylander, Ryan Poehling
Gardien
#1 : , #2 : Felix Sandstrom
Lignes d’attaque personnalisées en prolongation
Nikita Alexandrov, Nicolas Aube-Kubel, Cole Sillinger, Alexander Nylander, Ryan Poehling, Filip Hallander, Filip Hallander, Brendan Brisson, Phillip Di Giuseppe, Michael Pezzetta, Samuel Fagemo
Lignes de défense personnalisées en prolongation
Martin Fehervary, Conor Timmins, Pierre-Olivier Joseph, Isaak Phillips, 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
1Barracuda2110000079-2110000003211010000047-320.50071219001713161341251091238416264014214.29%13469.23%025952349.52%22649345.84%13527549.09%446304416139228115
2Condors220000001156110000005321100000062441.0001120310017131615712510912383714283917423.53%14192.86%025952349.52%22649345.84%13527549.09%446304416139228115
3Eagles2020000038-52020000038-50000000000000.000369001713161271251091238411122311200.00%11372.73%025952349.52%22649345.84%13527549.09%446304416139228115
4Gulls522000011113-2210000016513120000058-350.5001121320017131619612510912387025829228621.43%38781.58%025952349.52%22649345.84%13527549.09%446304416139228115
5Heat2020000017-61010000004-41010000013-200.00012300171316132125109123840939351200.00%16381.25%025952349.52%22649345.84%13527549.09%446304416139228115
6IceHogs1000010012-1000000000001000010012-110.5001230017131611812510912381991819400.00%9188.89%025952349.52%22649345.84%13527549.09%446304416139228115
7Moose201000108801010000034-11000001054120.500813210017131615412510912384211263220525.00%8362.50%025952349.52%22649345.84%13527549.09%446304416139228115
8Wolves21100000541000000000002110000054120.5005712001713161411251091238311239239111.11%13284.62%125952349.52%22649345.84%13527549.09%446304416139228115
Total1869001114756-9834000012026-61035001102730-3160.44447831300017131613591251091238321972803111161815.52%1222480.33%125952349.52%22649345.84%13527549.09%446304416139228115
_Since Last GM Reset1869001114756-9834000012026-61035001102730-3160.44447831300017131613591251091238321972803111161815.52%1222480.33%125952349.52%22649345.84%13527549.09%446304416139228115
_Vs Conference1667001114649-3733000012022-2934001102627-1160.50046811270017131613271251091238281882412761041817.31%1062180.19%125952349.52%22649345.84%13527549.09%446304416139228115
_Vs Division1354000113842-4631000011718-1723000102124-3130.5003868106001713161273125109123823065201238911718.68%891879.78%025952349.52%22649345.84%13527549.09%446304416139228115

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1816L147831303593219728031100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
186901114756
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
83400012026
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
103501102730
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1161815.52%1222480.33%1
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
12510912381713161
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
25952349.52%22649345.84%13527549.09%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
446304416139228115


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
26Monarchs4Wolves2AWSommaire du match
517Monarchs4Barracuda7ALSommaire du match
622Gulls4Monarchs3BLXXSommaire du match
828Monarchs1Gulls4ALSommaire du match
942Eagles4Monarchs1BLSommaire du match
1048Monarchs2Gulls1AWSommaire du match
1366Gulls1Monarchs3BWSommaire du match
1472Monarchs1IceHogs2ALXSommaire du match
1786Condors3Monarchs5BWSommaire du match
19102Barracuda2Monarchs3BWSommaire du match
20111Monarchs2Gulls3ALSommaire du match
21116Monarchs1Heat3ALSommaire du match
23132Heat4Monarchs0BLSommaire du match
26145Monarchs6Condors2AWSommaire du match
27150Monarchs1Wolves2ALSommaire du match
28156Moose4Monarchs3BLSommaire du match
30173Monarchs5Moose4AWXXSommaire du match
31176Eagles4Monarchs2BLSommaire du match
35197Heat-Monarchs-
37212IceHogs-Monarchs-
38221Monarchs-Phantoms-
40231Heat-Monarchs-
42246Monarchs-Stars-
44256Phantoms-Monarchs-
45268Stars-Monarchs-
47274Monarchs-Thunderbird-
50292Eagles-Monarchs-
51303Monarchs-Griffins-
52312Monarchs-Wolf Pack-
54324Penguins-Monarchs-
56336Eagles-Monarchs-
58346Monarchs-Moose-
61358Monarchs-67s-
62366IceHogs-Monarchs-
65378Monarchs-Marlies-
67388Monarchs-Penguins-
68395Barracuda-Monarchs-
70410Wolf Pack-Monarchs-
72418Monarchs-Condors-
74434Monsters-Monarchs-
76446Monarchs-Gulls-
77453Monarchs-Crunch-
78458Barracuda-Monarchs-
81476Marlies-Monarchs-
83490Stars-Monarchs-
84496Monarchs-Heat-
87511Monarchs-Thunderbird-
88518Moose-Monarchs-
90529Monarchs-Gulls-
92540Monarchs-Heat-
93547Griffins-Monarchs-
95559Monarchs-Monsters-
96571Sound Tigers-Monarchs-
99583Crunch-Monarchs-
101598Monarchs-Rocket-
102607Monarchs-Bruins-
104615Condors-Monarchs-
106627Monarchs-Wolves-
108636Bruins-Monarchs-
110649Gulls-Monarchs-
112658Monarchs-Eagles-
113666Monarchs-IceHogs-
115679Wolves-Monarchs-
117693Monarchs-Wolves-
118701Thunderbird-Monarchs-
120716Monarchs-Stars-
12172367s-Monarchs-
124738Moose-Monarchs-
125747Monarchs-Moose-
127759Monarchs-Eagles-
128766Thunderbird-Monarchs-
131777Monarchs-Barracuda-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
132789Gulls-Monarchs-
134804Condors-Monarchs-
137820Monarchs-Sound Tigers-
139826Wolf Pack-Monarchs-
143842Monarchs-Barracuda-
144850Wolves-Monarchs-
146863Monarchs-IceHogs-
148874Rocket-Monarchs-
150884Monarchs-Condors-
153895Rocket-Monarchs-



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
28 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
599,999$ 2,319,328$ 2,319,328$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 493,543$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 122 18,189$ 2,219,058$




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