Connexion

Monarchs
GP: 17 | W: 10 | L: 7
GF: 33 | GA: 32 | PP%: 6.52% | PK%: 90.72%
DG: Patrick Poulin | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Monarchs
10-7-0, 20pts
2
FINAL
3 Sound Tigers
14-7-0, 28pts
Team Stats
OTL2StreakL2
3-5-0Home Record7-4-0
7-2-0Away Record7-3-0
4-4-2Last 10 Games6-2-2
1.94Buts par match 2.52
1.88Buts contre par match 1.86
6.52%Pourcentage en avantage numérique11.27%
90.72%Pourcentage en désavantage numérique94.66%
Sound Tigers
14-7-0, 28pts
2
FINAL
1 Monarchs
10-7-0, 20pts
Team Stats
L2StreakOTL2
7-4-0Home Record3-5-0
7-3-0Away Record7-2-0
6-2-2Last 10 Games4-4-2
2.52Buts par match 1.94
1.86Buts contre par match 1.88
11.27%Pourcentage en avantage numérique6.52%
94.66%Pourcentage en désavantage numérique90.72%
Meneurs d'équipe
Buts
Casey Mittelstadt
5
Passes
Daniel Sprong
7
Points
Casey Mittelstadt
11
Plus/Moins
Pierre-Olivier Joseph
7
Victoires
Justin Kapelmaster
10
Pourcentage d’arrêts
Justin Kapelmaster
0.908

Statistiques d’équipe
Buts pour
33
1.94 GFG
Tirs pour
299
17.59 Avg
Pourcentage en avantage numérique
6.5%
6 GF
Début de zone offensive
37.6%
Buts contre
32
1.88 GAA
Tirs contre
347
20.41 Avg
Pourcentage en désavantage numérique
90.7%
9 GA
Début de la zone défensive
42.4%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure19
Limite contact 41 / 60
Espoirs35


Historique d'équipe

Saison actuelle10-7
Historique43-34-4 (0.531%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)10-7
Coupe Stanley0


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
1Mikhail Grigorenko0XXX100.006342937677656465387064622546466050002711,000,000$
2Daniel Sprong0X100.00715587847366746447637259756363685000241750,000$
3Casey Mittelstadt0XXX100.006142948372688174746970617560607050002211,491,666$
4Samuel Fagemo (R)0XX100.00776995636962636050536265594444625000211910,833$
5Nicholas Merkley0X100.007456887968637062566958642546466250002411,075,833$
6Jesperi Kotkaniemi0XX100.008052878375668373766465562561626750002013,425,000$
7Alexandre Texier0XX100.00714388836968716655666468255556634900212925,000$
8Patrick Marleau0XXX100.00714493757968916854616466619999735000412700,000$
9Ryan Poehling0XX100.008059967473626962575861686246466550002221,491,667$
10Jake Leschyshyn0X100.00726881696973765062455060514444615000222927,500$
11Vitaly Kravtsov (R)0XX100.007157956571626058385657642545455850002121,775,000$
12Reilly Walsh (R)0X100.00746888596858595525464962474444565000221925,000$
13Jacob Middleton0X100.00838982687955555525464868465151605000251735,000$
14Matt Benning0X100.007951868274657960254947792564656250002711,900,000$
15Timothy Liljegren0X100.007256897270566054254945654145455650002211,263,333$
16Martin Fehervary0X100.00737275727265665225464461444445575000212894,167$
17Pierre-Olivier Joseph0X100.007454856570707257255245622545455650002121,075,833$
Rayé
1Ryan Lomberg0XX100.00828465666958576438596468254747605000262700,000$
2Isaak Phillips (R)0X100.00767384647365695025434162394444575000193925,000$
MOYENNE D’ÉQUIPE100.0074608773726469604356566442525262500
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
1Justin Kapelmaster (R)100.00665063767065727571713044446150002511,000,000$
2Will Cranley (R)100.0060465878615770706566304444585000191950,000$
Rayé
1Felix Sandstrom (R)100.0052536675535350575252304444525000241750,000$
MOYENNE D’ÉQUIPE100.005950627661586467636330444457500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Hartley72707573878159CAN6223,500,000$


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
1Casey MittelstadtMonarchs (LAK)C/LW/RW1756115607293953412.82%237021.7811210740001710142.50%4000100.5900000311
2Daniel SprongMonarchs (LAK)RW1737106402817369188.33%027916.441231272000012033.33%2100000.7200000111
3Alexandre TexierMonarchs (LAK)C/LW17358-112010272742111.11%332118.911127761011442061.54%1300000.5000000100
4Patrick MarleauMonarchs (LAK)C/LW/RW1744850017342162219.05%538022.401127740000770046.97%46200000.4200000211
5Nicholas MerkleyMonarchs (LAK)RW17257-280621268167.69%220812.2601125000022027.78%1800000.6700000011
6Jesperi KotkaniemiMonarchs (LAK)C/LW17437-1240282924131616.67%232218.981017740110473055.74%30500000.4300000021
7Ryan PoehlingMonarchs (LAK)C/LW17347-260153219112515.79%323213.66101170000190041.67%16800000.6000000201
8Mikhail GrigorenkoMonarchs (LAK)C/LW/RW17145-420420209105.00%126815.76022572000030126.32%1900000.3700000000
9Samuel FagemoMonarchs (LAK)LW/RW17235200417140614.29%01458.5600001000010040.00%1000000.6900000001
10Matt BenningMonarchs (LAK)D17134-2220231920575.00%1238922.900001470000063100.00%000000.2100000010
11Ryan LombergMonarchs (LAK)LW/RW904401951446560.00%010611.79011030000110085.71%700000.7500010100
12Reilly WalshMonarchs (LAK)D17033-12202462120.00%1030818.12011010000037000.00%000000.1900000100
13Jake LeschyshynMonarchs (LAK)C1712324081570414.29%01438.4100000000000146.23%10600000.4200000010
14Vitaly KravtsovMonarchs (LAK)LW/RW172132207101431114.29%11388.1300000000030022.22%900000.4300000000
15Jacob MiddletonMonarchs (LAK)D17202-2320361172328.57%1337422.00000367000057010.00%000000.1100000010
16Timothy LiljegrenMonarchs (LAK)D170225951162470.00%2137221.92000267000065000.00%000000.1100010000
17Martin FehervaryMonarchs (LAK)D17022037545134240.00%430417.90011220011026000.00%000000.1300010000
18Pierre-Olivier JosephMonarchs (LAK)D170227200291110260.00%1437622.16000873000062000.00%000000.1100000001
19Artturi LehkonenKingsLW/RW1000000310020.00%12121.370000400005000.00%300000.0000000000
Statistiques d’équipe totales ou en moyenne29933609319229153193222988922011.07%94506216.936111780777123260310447.42%118100100.37000301198
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
1Justin KapelmasterMonarchs (LAK)1710520.9081.77108200323470000.0000170002
Statistiques d’équipe totales ou en moyenne1710520.9081.77108200323470000.0000170002


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
Alexandre TexierMonarchs (LAK)C/LW211999-09-12No186 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Casey MittelstadtMonarchs (LAK)C/LW/RW221998-11-21No196 Lbs6 ft1NoNoNo1Pro & Farm1,491,666$1,491,666$0$0$NoLien
Daniel SprongMonarchs (LAK)RW241997-03-17No200 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Felix SandstromMonarchs (LAK)G241997-01-12Yes191 Lbs6 ft2NoNoNo1Pro & Farm750,000$450,000$0$0$NoLien
Isaak PhillipsMonarchs (LAK)D192001-09-28Yes194 Lbs6 ft3NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$Lien
Jacob MiddletonMonarchs (LAK)D251996-01-02No210 Lbs6 ft3NoNoNo1Pro & Farm735,000$450,000$0$0$NoLien
Jake LeschyshynMonarchs (LAK)C221999-03-10No190 Lbs5 ft11NoNoNo2Pro & Farm927,500$927,500$0$0$No927,500$Lien
Jesperi KotkaniemiMonarchs (LAK)C/LW202000-07-06No201 Lbs6 ft2NoNoNo1Pro & Farm3,425,000$450,000$0$0$NoLien
Justin KapelmasterMonarchs (LAK)G251995-10-26Yes205 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Martin FehervaryMonarchs (LAK)D211999-10-06No194 Lbs6 ft2NoNoNo2Pro & Farm894,167$894,167$0$0$No894,167$Lien
Matt BenningMonarchs (LAK)D271994-05-25No204 Lbs6 ft1NoNoNo1Pro & Farm1,900,000$1,900,000$0$0$NoLien
Mikhail GrigorenkoMonarchs (LAK)C/LW/RW271994-05-16No206 Lbs6 ft3NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Nicholas MerkleyMonarchs (LAK)RW241997-05-23No194 Lbs5 ft10NoNoNo1Pro & Farm1,075,833$1,075,833$0$0$NoLien
Patrick MarleauMonarchs (LAK)C/LW/RW411979-09-15No215 Lbs6 ft2NoNoNo2Farm Only700,000$700,000$0$0$No700,000$Lien
Pierre-Olivier JosephMonarchs (LAK)D211999-07-01No185 Lbs6 ft2NoNoNo2Pro & Farm1,075,833$1,075,833$0$0$No1,075,833$Lien
Reilly WalshMonarchs (LAK)D221999-04-21Yes185 Lbs6 ft0NoNoNo1Pro & Farm925,000$450,000$0$0$No
Ryan LombergMonarchs (LAK)LW/RW261994-12-09No187 Lbs5 ft9NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien
Ryan PoehlingMonarchs (LAK)C/LW221999-01-03No197 Lbs6 ft2NoNoNo2Pro & Farm1,491,667$1,491,667$0$0$No1,491,667$Lien
Samuel FagemoMonarchs (LAK)LW/RW212000-03-14Yes190 Lbs5 ft11NoNoNo1Pro & Farm910,833$450,000$0$0$No
Timothy LiljegrenMonarchs (LAK)D221999-04-30No192 Lbs6 ft0NoNoNo1Pro & Farm1,263,333$1,263,333$0$0$NoLien
Vitaly KravtsovMonarchs (LAK)LW/RW211999-12-23Yes189 Lbs6 ft3NoNoNo2Pro & Farm1,775,000$925,002$0$0$No1,775,000$Lien
Will CranleyMonarchs (LAK)G192002-02-26Yes185 Lbs6 ft4NoNoNo1Pro & Farm950,000$450,000$0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2223.45195 Lbs6 ft11.451,163,220$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Casey MittelstadtPatrick MarleauDaniel Sprong35122
2Alexandre TexierJesperi KotkaniemiMikhail Grigorenko30122
3Ryan PoehlingNicholas Merkley25122
4Samuel FagemoJake LeschyshynVitaly Kravtsov10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt BenningJacob Middleton35122
2Timothy LiljegrenPierre-Olivier Joseph30122
3Martin FehervaryReilly Walsh25122
4Matt BenningJacob Middleton10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Casey MittelstadtPatrick MarleauDaniel Sprong60122
2Alexandre TexierJesperi KotkaniemiMikhail Grigorenko40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt BenningJacob Middleton60122
2Timothy LiljegrenPierre-Olivier Joseph40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Patrick MarleauCasey Mittelstadt60122
2Jesperi KotkaniemiAlexandre Texier40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt BenningJacob Middleton60122
2Timothy LiljegrenPierre-Olivier Joseph40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Patrick Marleau60122Matt BenningJacob Middleton60122
2Casey Mittelstadt40122Timothy LiljegrenPierre-Olivier Joseph40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Patrick MarleauCasey Mittelstadt60122
2Jesperi KotkaniemiAlexandre Texier40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt BenningJacob Middleton60122
2Timothy LiljegrenPierre-Olivier Joseph40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Casey MittelstadtPatrick MarleauDaniel SprongMatt BenningJacob Middleton
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Casey MittelstadtPatrick MarleauDaniel SprongMatt BenningJacob 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
Patrick Marleau, Casey Mittelstadt, Jesperi Kotkaniemi, Alexandre Texier, Daniel Sprong
Gardien
#1 : Justin Kapelmaster, #2 : Will Cranley


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
1Admirals74300000141403120000035-243100000119280.57114253900121182121841001041114637971393425.88%36683.33%022544850.22%22750544.95%11123946.44%403277462135218105
2Moose44000000954220000005322200000042281.0009172600121182628410010411682046722328.70%21195.24%122544850.22%22750544.95%11123946.44%403277462135218105
3Sound Tigers624000001013-33030000037-43210000076140.33310182800121182116841001041113340861093525.71%40295.00%022544850.22%22750544.95%11123946.44%403277462135218105
Total171070000033321835000001115-49720000022175200.588336093001211822998410010411347972293209266.52%97990.72%122544850.22%22750544.95%11123946.44%403277462135218105
_Since Last GM Reset171070000033321835000001115-49720000022175200.588336093001211822998410010411347972293209266.52%97990.72%122544850.22%22750544.95%11123946.44%403277462135218105
_Vs Conference171070000033321835000001115-49720000022175200.588336093001211822998410010411347972293209266.52%97990.72%122544850.22%22750544.95%11123946.44%403277462135218105
_Vs Division111070000023194535000008806720000015114200.909234265001211821838410010411214571432115747.02%57787.72%122544850.22%22750544.95%11123946.44%403277462135218105

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1720OTL23360932993479722932000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1710700003332
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
83500001115
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
97200002217
Derniers 10 matchs
WLOTWOTL SOWSOL
440200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
9266.52%97990.72%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
8410010411121182
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
22544850.22%22750544.95%11123946.44%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
403277462135218105


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
1 - 2022-03-167Monarchs2Moose1AWXSommaire du match
2 - 2022-03-1715Monarchs2Moose1AWSommaire du match
3 - 2022-03-1823Moose2Monarchs3BWXSommaire du match
4 - 2022-03-1931Moose1Monarchs2BWSommaire du match
8 - 2022-03-2360Monarchs4Admirals3AWSommaire du match
9 - 2022-03-2464Monarchs2Admirals1AWSommaire du match
10 - 2022-03-2568Admirals2Monarchs0BLSommaire du match
11 - 2022-03-2672Admirals2Monarchs1BLSommaire du match
12 - 2022-03-2776Monarchs0Admirals2ALSommaire du match
13 - 2022-03-2880Admirals1Monarchs2BWSommaire du match
14 - 2022-03-2984Monarchs5Admirals3AWSommaire du match
15 - 2022-03-3086Monarchs2Sound Tigers1AWSommaire du match
16 - 2022-03-3188Monarchs3Sound Tigers2AWSommaire du match
17 - 2022-04-0190Sound Tigers4Monarchs2BLSommaire du match
18 - 2022-04-0292Sound Tigers1Monarchs0BLSommaire du match
19 - 2022-04-0394Monarchs2Sound Tigers3ALXSommaire du match
20 - 2022-04-0496Sound Tigers2Monarchs1BLXSommaire 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
-8 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,559,083$ 1,974,500$ 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
1Daniel Sprong82353974-68415015028612.24%7143517.5120173711600008346.25%11.0349
2Matt Benning82164359-214215313515010.67%111183722.411017271100001220.00%00.6411
3Pierre-Olivier Joseph82741481113013563759.33%76164120.0271421550000110.00%00.5800
4Nicholas Merkley8220244475512211814014.29%11112213.695492600002144.44%00.7811
5Mikhail Grigorenko6613223502440911389.42%3103315.6649133601111035.00%00.6823

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
1Justin Kapelmaster82423450.8862.4647558519517110710.69252
2Will Cranley91000.8962.672252010960010.0000

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
Saison régulière
202182333401293220210104116170016111410954117170113210610159122037159125736077241807557616604781809525115115454957414.95%4716685.99%51110238146.62%1062244643.42%533119444.64%199213882007606987488
Total Saison régulière82333401293220210104116170016111410954117170113210610159122037159125736077241807557616604781809525115115454957414.95%4716685.99%51110238146.62%1062244643.42%533119444.64%199213882007606987488
2021171070000033321835000001115-4972000002217520336093001211822998410010411347972293209266.52%97990.72%122544850.22%22750544.95%11123946.44%403277462135218105
Total Séries éliminatoires171070000033321835000001115-4972000002217520336093001211822998410010411347972293209266.52%97990.72%122544850.22%22750544.95%11123946.44%403277462135218105

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
1Casey Mittelstadt175611567293912.82%237021.781121000010142.50%00.5900
2Daniel Sprong173710642817368.33%027916.441231200002033.33%00.7200
3Alexandre Texier17358-11210272711.11%332118.91112710112061.54%00.5000
4Patrick Marleau174485017342119.05%538022.40112700000046.97%00.4200
5Ryan Poehling17347-2615321915.79%323213.66101100000041.67%00.6000

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
1Justin Kapelmaster1710520.9081.77108200323470000.0000