Connexion

Moose
GP: 4 | W: 0 | L: 4
GF: 5 | GA: 9 | PP%: 4.76% | PK%: 91.30%
DG: Emmanuel Rheault | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Moose
0-4-0, 0pts
2
FINAL
3 Monarchs
10-7-0, 20pts
Team Stats
L1StreakOTL2
0-2-0Home Record3-5-0
0-2-0Away Record7-2-0
0-2-2Last 10 Games4-4-2
1.25Buts par match 1.94
2.25Buts contre par match 1.88
4.76%Pourcentage en avantage numérique6.52%
91.30%Pourcentage en désavantage numérique90.72%
Moose
0-4-0, 0pts
1
FINAL
2 Monarchs
10-7-0, 20pts
Team Stats
L1StreakOTL2
0-2-0Home Record3-5-0
0-2-0Away Record7-2-0
0-2-2Last 10 Games4-4-2
1.25Buts par match 1.94
2.25Buts contre par match 1.88
4.76%Pourcentage en avantage numérique6.52%
91.30%Pourcentage en désavantage numérique90.72%
Meneurs d'équipe
Buts
Mason Appleton
2
Passes
Jason Spezza
2
Points
Mattias Janmark
2
Plus/Moins
Braydon Coburn
2
Victoires
Martin Jones
0
Pourcentage d’arrêts
Martin Jones
0.855

Statistiques d’équipe
Buts pour
5
1.25 GFG
Tirs pour
68
17.00 Avg
Pourcentage en avantage numérique
4.8%
1 GF
Début de zone offensive
45.2%
Buts contre
9
2.25 GAA
Tirs contre
62
15.50 Avg
Pourcentage en désavantage numérique
91.3%
2 GA
Début de la zone défensive
34.5%
Informations de l'équipe

Directeur généralEmmanuel Rheault
EntraîneurAlain Vigneault
DivisionDivision 5
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro32
Équipe Mineure18
Limite contact 50 / 60
Espoirs17


Historique d'équipe

Saison actuelle0-4
Historique47-28-4 (0.595%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)0-4
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
1Alex Galchenyuk0XX100.007644877771637667507167586074766850002731,137,500$
2Nikita Gusev0XX100.005840958660687381307468577556566550002811,000,000$
3Justin Richards (R)0X100.007469846469565560755858635544446250002311,000,000$
4David Cotton (R)0X100.007775806575575664805471666744446550002331,412,500$
5Mattias Janmark85XX100.00644293827272896840696675256669665000281800,000$
6Jason Spezza0XX100.00624393708058866786767164739095745000382700,000$
7Jujhar Khaira0XX100.009383777883637960646159842563646950002641,200,000$
8Mason Appleton0XX100.00704389807263836143636674255960635000251758,333$
9Pierre-Edouard Bellemare0X100.006647898071629161916067842570736964003621,800,000$
10Ryan Carpenter0XX100.008445867773658166655858862562646650003011,000,000$
11Chase De Leo0XX100.00716582626572716478606265635454665000252650,000$
12Ivan Barbashev47XXX100.00824592826865805959666779256567675000251863,333$
13Tyler Motte64XX100.00994787746869566040616993256162655000261925,000$
14Dryden Hunt0X100.00914682727059646330655968455960625000251715,000$
15Wyatt Kalynuk (R)0X100.007743937268695966255860652545455850002432,275,000$
16Braydon Coburn2X100.008045837284675660254848798085926763003631,700,000$
17Jake Gardiner51X100.006743878675707073256448592575776349003011,011,250$
18Sami Niku0X100.00714278756668486025624665254949555000241725,000$
19Kris Russell4X100.007843927562737057255647905180826532003424,000,000$
20Ben Harpur0X100.00806679658865635525504373256161605000263725,000$
Rayé
1Marc Michaelis (R)0XX100.007142958067545052565055592545455650002511,000,000$
2Cole Smith (R)0X100.007874875874565656505058645544446050002511,000,000$
3Kyle Olson (R)0X100.00696481606453545050474758454444555000223950,000$
4Mathieu Olivier0X100.007888486480647058485258682547476050002411,000,000$
5Kevin Bahl (R)68X100.00908893648864694625374068384444605000203902,500$
6Matt Kiersted (R)0X100.007767996467454741252839603744445250002311,000,000$
7Conor Timmins0X100.00695683657056655925584465254748565000222925,000$
MOYENNE D’ÉQUIPE100.0076558672726367614758577041586063500
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
1Martin Jones100.00598078805959666262599167676850003111,000,000$
2Kevin Lankinen100.00676166737165556867657547476450002631,425,000$
Rayé
1Alexei Melnichuk (R)100.00465670754246505345463044445050002211,000,000$
2Curtis McElhinney100.00585456786254645964586764646250003811,000,000$
3Jeremy Helvig (R)100.00615265796562586562613044445850002411,000,000$
MOYENNE D’ÉQUIPE100.005861677760575961605859535360500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Alain Vigneault78767983878159CAN6223,500,000$


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
1Mattias JanmarkMoose (WPG)C/LW4112-2003511279.09%18020.091013200003150031.25%1600000.5000000001
2Jason SpezzaMoose (WPG)C/RW40220002102450.00%08621.730000170111200064.95%9700000.4600000000
3Mason AppletonMoose (WPG)LW/RW420202037221100.00%05213.230000000000000.00%400000.7600000000
4Conor TimminsMoose (WPG)D4022-180500010.00%46616.640110400006000.00%000000.6000000000
5Alex GalchenyukMoose (WPG)C/LW4011000546030.00%16416.2200037000170045.45%2200000.3100000000
6Wyatt KalynukMoose (WPG)D4011140441110.00%28922.29000016000016000.00%000000.2200000000
7Nikita GusevMoose (WPG)LW/RW4011-100394170.00%06416.13011118000030050.00%400000.3100000000
8Braydon CoburnMoose (WPG)D4011260634020.00%38922.28000315011014000.00%000000.2200000000
9Jujhar KhairaMoose (WPG)C/LW4011-180632060.00%15213.1400000000030046.15%1300000.3800000000
10Pierre-Edouard BellemareMoose (WPG)C4101-1005764616.67%07518.930000121012170060.71%5600000.2600000000
11Ivan BarbashevMoose (WPG)C/LW/RW4101-1207742325.00%08120.360001180000140041.67%1200000.2500000000
12Justin RichardsMoose (WPG)C4000000101000.00%071.7600013000010033.33%300000.0000000000
13Cole SmithMoose (WPG)LW1000000000000.00%000.300000000000000.00%000000.0000000000
14Jake GardinerMoose (WPG)D3000-220222010.00%27023.43000215000014000.00%000000.0000000000
15Sami NikuMoose (WPG)D4000-340910000.00%36917.470000700006000.00%000000.0000000000
16Kris RussellMoose (WPG)D4000-320315150.00%29423.73000419000019000.00%000000.0000000000
17Ryan CarpenterMoose (WPG)C/RW4000-200335040.00%1369.2300000000000046.15%1300000.0000000000
18Mathieu OlivierMoose (WPG)RW4000-1100311000.00%1287.21000000000000100.00%100000.0000000000
19Chase De LeoMoose (WPG)C/LW4000000103100.00%0194.7900001000000062.50%800000.0000000000
20Tyler MotteMoose (WPG)LW/RW3000020647240.00%04816.1500041500000000.00%000000.0000000000
21Dryden HuntMoose (WPG)LW4000-100212010.00%0287.2300011000000033.33%300000.0000000000
Statistiques d’équipe totales ou en moyenne7951015-1650079726820577.35%21120815.301232319612371610055.16%25200000.2500000001
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
1Martin JonesMoose (WPG)40220.8552.15251009620000.000040000
Statistiques d’équipe totales ou en moyenne40220.8552.15251009620000.000040000


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
Alex GalchenyukMoose (WPG)C/LW271994-02-11No194 Lbs6 ft1NoNoNo3Pro & Farm1,137,500$1,050,000$0$0$No1,050,000$1,050,000$Lien
Alexei MelnichukMoose (WPG)G221998-06-28Yes190 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Ben HarpurMoose (WPG)D261995-01-11No231 Lbs6 ft6NoNoNo3Pro & Farm725,000$725,000$0$0$No725,000$725,000$Lien
Braydon CoburnMoose (WPG)D361985-02-27No223 Lbs6 ft5NoNoNo3Pro & Farm1,700,000$1,700,000$0$0$No1,700,000$1,700,000$Lien
Chase De LeoMoose (WPG)C/LW251995-10-24No186 Lbs5 ft9NoNoNo2Pro & Farm650,000$650,000$0$0$No650,000$Lien
Cole SmithMoose (WPG)LW251995-10-28Yes195 Lbs6 ft3NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Conor TimminsMoose (WPG)D221998-09-18No185 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Curtis McElhinneyMoose (WPG)G381983-05-22No210 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
David CottonMoose (WPG)C231997-07-09Yes201 Lbs6 ft2NoNoNo3Pro & Farm1,412,500$1,350,000$0$0$No1,350,000$1,350,000$Lien
Dryden HuntMoose (WPG)LW251995-11-24No193 Lbs6 ft0NoNoNo1Pro & Farm715,000$715,000$0$0$NoLien
Ivan BarbashevMoose (WPG)C/LW/RW251995-12-14No187 Lbs6 ft0NoNoNo1Pro & Farm863,333$863,333$0$0$NoLien
Jake GardinerMoose (WPG)D301990-07-04No203 Lbs6 ft2NoNoNo1Pro & Farm1,011,250$1,000,000$0$0$NoLien
Jason SpezzaMoose (WPG)C/RW381983-06-13No216 Lbs6 ft3NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien
Jeremy HelvigMoose (WPG)G241997-05-24Yes188 Lbs6 ft4NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Jujhar KhairaMoose (WPG)C/LW261994-08-13No212 Lbs6 ft4NoNoNo4Pro & Farm1,200,000$1,200,000$0$0$No1,200,000$1,200,000$1,200,000$Lien
Justin RichardsMoose (WPG)C231998-03-17Yes190 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Kevin BahlMoose (WPG)D202000-06-27Yes230 Lbs6 ft6NoNoNo3Pro & Farm902,500$902,500$0$0$No902,500$902,500$
Kevin LankinenMoose (WPG)G261995-04-28No185 Lbs6 ft2NoNoNo3Pro & Farm1,425,000$800,000$0$0$No800,000$800,000$Lien
Kris RussellMoose (WPG)D341987-05-02No170 Lbs5 ft10NoNoNo2Pro & Farm4,000,000$4,000,000$0$0$No4,000,000$Lien
Kyle OlsonMoose (WPG)RW221999-03-22Yes179 Lbs5 ft11NoNoNo3Pro & Farm950,000$450,000$0$0$No950,000$950,000$
Marc MichaelisMoose (WPG)C/LW251995-07-30Yes187 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Martin JonesMoose (WPG)G311990-01-10No190 Lbs6 ft4NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Mason AppletonMoose (WPG)LW/RW251996-01-15No193 Lbs6 ft2NoNoNo1Pro & Farm758,333$758,333$0$0$NoLien
Mathieu OlivierMoose (WPG)RW241997-02-11No209 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Matt KierstedMoose (WPG)D231998-04-14Yes181 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Mattias JanmarkMoose (WPG)C/LW281992-12-08No195 Lbs6 ft1NoNoNo1Pro & Farm800,000$800,000$0$0$NoLien
Nikita GusevMoose (WPG)LW/RW281992-07-08No168 Lbs5 ft10NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Pierre-Edouard BellemareMoose (WPG)C361985-03-06No198 Lbs6 ft0NoNoNo2Pro & Farm1,800,000$1,800,000$0$0$No1,800,000$Lien
Ryan CarpenterMoose (WPG)C/RW301991-01-18No200 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Sami NikuMoose (WPG)D241996-10-10No176 Lbs6 ft1NoNoNo1Pro & Farm725,000$725,000$0$0$NoLien
Tyler MotteMoose (WPG)LW/RW261995-03-10No192 Lbs5 ft10NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Wyatt KalynukMoose (WPG)D241997-04-14Yes180 Lbs6 ft1NoNoNo3Pro & Farm2,275,000$1,775,000$0$0$No1,775,000$1,775,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3226.91195 Lbs6 ft11.751,143,763$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mattias JanmarkJason SpezzaIvan Barbashev35122
2Tyler MottePierre-Edouard BellemareNikita Gusev30122
3Jujhar KhairaAlex GalchenyukRyan Carpenter25122
4Mason AppletonDavid CottonJason Spezza10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kris RussellJake Gardiner35122
2Braydon CoburnWyatt Kalynuk30122
3Ben HarpurSami Niku25122
4Kris RussellJake Gardiner10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mattias JanmarkJason SpezzaIvan Barbashev60122
2Tyler MottePierre-Edouard BellemareNikita Gusev40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kris RussellJake Gardiner60122
2Braydon CoburnWyatt Kalynuk40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jason SpezzaMattias Janmark60122
2Ivan BarbashevPierre-Edouard Bellemare40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kris RussellJake Gardiner60122
2Braydon CoburnWyatt Kalynuk40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jason Spezza60122Kris RussellJake Gardiner60122
2Mattias Janmark40122Braydon CoburnWyatt Kalynuk40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jason SpezzaMattias Janmark60122
2Ivan BarbashevPierre-Edouard Bellemare40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kris RussellJake Gardiner60122
2Braydon CoburnWyatt Kalynuk40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mattias JanmarkJason SpezzaIvan BarbashevKris RussellJake Gardiner
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mattias JanmarkJason SpezzaIvan BarbashevKris RussellJake Gardiner
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Dryden Hunt, Chase De Leo, Justin RichardsDryden Hunt, Chase De LeoJustin Richards
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ben Harpur, Sami Niku, Braydon CoburnBen HarpurSami Niku, Braydon Coburn
Tirs de pénalité
Jason Spezza, Mattias Janmark, Ivan Barbashev, Pierre-Edouard Bellemare, Tyler Motte
Gardien
#1 : Martin Jones, #2 : Kevin Lankinen


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
1Monarchs4040000059-42020000024-22020000035-200.00051015001220681917284622150792114.76%23291.30%16111453.51%478754.02%315160.78%1097689295227
Total4040000059-42020000024-22020000035-200.00051015001220681917284622150792114.76%23291.30%16111453.51%478754.02%315160.78%1097689295227
_Since Last GM Reset4040000059-42020000024-22020000035-200.00051015001220681917284622150792114.76%23291.30%16111453.51%478754.02%315160.78%1097689295227
_Vs Conference4040000059-42020000024-22020000035-200.00051015001220681917284622150792114.76%23291.30%16111453.51%478754.02%315160.78%1097689295227
_Vs Division4040000059-42020000024-22020000035-200.00051015001220681917284622150792114.76%23291.30%16111453.51%478754.02%315160.78%1097689295227

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
40L151015686221507900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
404000059
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
202000024
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
202000035
Derniers 10 matchs
WLOTWOTL SOWSOL
020200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2114.76%23291.30%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
19172841220
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
6111453.51%478754.02%315160.78%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1097689295227


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 - 2022-03-167Monarchs2Moose1BLXSommaire du match
2 - 2022-03-1715Monarchs2Moose1BLSommaire du match
3 - 2022-03-1823Moose2Monarchs3ALXSommaire du match
4 - 2022-03-1931Moose1Monarchs2ALSommaire 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
-2 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,660,041$ 3,481,416$ 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$




Moose 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
1Ivan Barbashev76224062207111612915813.92%10137418.09819274801174452.09%00.9018
2Mattias Janmark7923376020164714516713.77%12166021.01511165010184244.90%00.7239
3Nikita Gusev82163753661110915210.53%1142817.42314174200006143.18%00.7402
4Jason Spezza7024275120192714611121.62%10147221.04510152100024266.60%00.6938
5Jujhar Khaira82152742614616313814610.27%13134916.4638113000044357.70%00.6214

Moose 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
1Martin Jones44241540.8812.10263006927740100.87023
2Kevin Lankinen134610.8682.4466320272040000.8005

Moose 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
2021823828014832211843741211200260115892641171601223106951110122138160209696479141634517548545651496416100414174786413.39%4295188.11%21322228357.91%1214212857.05%699122057.30%2171153318085881008528
Total Saison régulière823828014832211843741211200260115892641171601223106951110122138160209696479141634517548545651496416100414174786413.39%4295188.11%21322228357.91%1214212857.05%699122057.30%2171153318085881008528
20214040000059-42020000024-22020000035-2051015001220681917284622150792114.76%23291.30%16111453.51%478754.02%315160.78%1097689295227
Total Séries éliminatoires4040000059-42020000024-22020000035-2051015001220681917284622150792114.76%23291.30%16111453.51%478754.02%315160.78%1097689295227

Moose 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
1Conor Timmins4022-185000.00%46616.6401100000000.00%00.6000
2Mason Appleton420202372100.00%05213.2300000000000.00%00.7600
3Mattias Janmark4112-2035119.09%18020.09101300030031.25%00.5000
4Jason Spezza40220021020.00%08621.73000001110064.95%00.4600
5Wyatt Kalynuk4011144410.00%28922.2900000000000.00%00.2200

Moose 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
1Martin Jones40220.8552.15251009620000.0000