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Connexion

National
GP: 36 | W: 33 | L: 3 | OTL: 0 | P: 66
GF: 289 | GA: 115 | PP%: 52.63% | PK%: 60.64%
DG: Benoit Tassé | Morale : 79 | Moyenne d’équipe : 67
Prochains matchs #436 vs Destroyers

Centre de jeu
National
33-3-0, 66pts
11
FINAL
3 Distraction
19-15-2, 40pts
Team Stats
L1SéquenceW1
16-2-0Fiche domicile10-7-1
17-1-0Fiche domicile9-8-1
9-1-0Derniers 10 matchs8-2-0
8.03Buts par match 6.31
3.19Buts contre par match 6.61
52.63%Pourcentage en avantage numérique58.27%
60.64%Pourcentage en désavantage numérique51.09%
Dynamos
30-6-0, 60pts
6
FINAL
4 National
33-3-0, 66pts
Team Stats
W1SéquenceL1
15-3-0Fiche domicile16-2-0
15-3-0Fiche domicile17-1-0
7-3-0Derniers 10 matchs9-1-0
6.44Buts par match 8.03
3.64Buts contre par match 3.19
67.50%Pourcentage en avantage numérique52.63%
55.28%Pourcentage en désavantage numérique60.64%
National
33-3-0, 66pts
Jour 70
Destroyers
32-4-0, 64pts
Statistiques d’équipe
L1SéquenceSOW1
16-2-0Fiche domicile17-1-0
17-1-0Fiche visiteur15-3-0
9-1-010 derniers matchs10-0-0
8.03Buts par match 6.64
3.19Buts contre par match 6.64
52.63%Pourcentage en avantage numérique69.52%
60.64%Pourcentage en désavantage numérique61.54%
National
33-3-0, 66pts
Jour 72
Prospects
19-16-1, 39pts
Statistiques d’équipe
L1SéquenceW2
16-2-0Fiche domicile11-6-1
17-1-0Fiche visiteur8-10-0
9-1-010 derniers matchs4-5-1
8.03Buts par match 5.31
3.19Buts contre par match 5.31
52.63%Pourcentage en avantage numérique44.22%
60.64%Pourcentage en désavantage numérique45.22%
Shokers
25-11-0, 50pts
Jour 74
National
33-3-0, 66pts
Statistiques d’équipe
L1SéquenceL1
12-6-0Fiche domicile16-2-0
13-5-0Fiche visiteur17-1-0
7-3-010 derniers matchs9-1-0
7.69Buts par match 8.03
5.25Buts contre par match 8.03
58.86%Pourcentage en avantage numérique52.63%
55.86%Pourcentage en désavantage numérique60.64%
Meneurs d'équipe
Buts
Jansen Harkins
50
Passes
Jack Drury
66
Points
Jack Drury
106
Plus/Moins
Jansen Harkins
66
Victoires
Yaroslav Askarov
29
Pourcentage d’arrêts
Yaroslav Askarov
0.899

Statistiques d’équipe
Buts pour
289
8.03 GFG
Tirs pour
1660
46.11 Avg
Pourcentage en avantage numérique
52.6%
90 GF
Début de zone offensive
34.1%
Buts contre
115
3.19 GAA
Tirs contre
1018
28.28 Avg
Pourcentage en désavantage numérique
60.6%%
37 GA
Début de la zone défensive
30.0%
Informations de l'équipe

Directeur généralBenoit Tassé
EntraîneurLane Lambert
DivisionRoy
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro14
Équipe Mineure18
Limite contact 32 / 55
Espoirs37


Historique d'équipe

Saison actuelle33-3-0 (66PTS)
Historique196-150-11 (0.549%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)16 - 10 (0.615%)
Coupe Stanley1


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 BelzileX100.0076609185847840746373757856677104571N0332975,000$
2Kevin HayesXXX99.0070739678867688718570727250848208071N0332900,000$
3Tye Kartye (R)X99.00946890898673846960667174506971082690242925,000$
4Kasperi KapanenX100.0076619590837681685070667850787805569N02811,000,000$
5Jack Drury (R)X99.00685490877374817180736876507274079690251925,000$
6A.J. Greer (R)X99.00887787778768636650656772507073079660281762,500$
7Zach BogosianX99.0088748081918274675068657750878206973N0341880,000$
8Vincent DesharnaisX100.00827182779179406450676082506871033690291950,000$
9Adam BoqvistX100.0064539987758340685073636450717307968N0241900,000$
10Jacob Moverare (R)X100.00866295768580406050606075506565053660261600,000$
11Maxime Lajoie (R)X100.00735795917773406050606059506870044630271775,000$
12Parker Wotherspoon (R)X100.00505050505050505050505050505050079490271775,000$
Rayé
1Jansen Harkins (R)X90.59745388837676406750647074507069069660281925,000$
MOYENNE D’ÉQUIPE98.8576638881807459665766657250717106567
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
1Yaroslav Askarov (R)98.00766154837671687476757763650806902321,775,000$
Rayé
MOYENNE D’ÉQUIPE98.007661548376716874767577636508069
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Lane Lambert81798194707099CAN602550,000$


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
1Jack DruryNational (BRA)C364066106424051711796012522.35%2572720.2114274126900221542071.90%4205818042.9101000753
2Jansen HarkinsNational (BRA)C36503686660067412717517418.45%1470319.551234260000184266.84%1905535062.44000001443
3Kevin HayesNational (BRA)C/LW/RW3628467426191550691704210416.47%2178821.9010233317951014743173.02%11493134011.8801102125
4Tye KartyeNational (BRA)LW364033732826106530189498421.16%2268118.9420113130932023454161.97%715720042.1411200655
5A.J. GreerNational (BRA)LW353139703215558261786811317.42%763218.0614203425780000152051.35%373817032.2200010267
6Adam BoqvistNational (BRA)D356394531135282210862485.56%3477822.2445912780000510033.33%32539001.1600001011
7Zach BogosianNational (BRA)D216394546221039337531408.00%2757727.52412161282000241000%01541001.5600101144
8Kasperi KapanenNational (BRA)RW20142741174315331470214320.00%1034917.46216185460111153063.41%412810002.3500012031
9Jacob MoverareNational (BRA)D2632528376050286227274.84%3557222.0022434000001910100.00%11031000.9800000022
10Parker WotherspoonNational (BRA)D36016162834035156031250%2055615.4501112800002300100.00%1220000.5800000000
11Alex BelzileNational (BRA)RW9971620010155892915.52%517319.23641014250001162165.38%26156001.8501000120
12Maxime LajoieNational (BRA)D221121324025153419262.94%1840818.550001310000230033.33%31018000.6400000001
13Vincent DesharnaisNational (BRA)D1000160101000%52323.400000000003000%00000000000000
Statistiques d’équipe totales ou en moyenne34922838561335819260512379145549483815.67%243697119.98771232001507183361240321570.96%19423442890181.7614426323432
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
1Yaroslav AskarovNational (BRA)3129200.8992.8618654189884446501.0004310101
Statistiques d’équipe totales ou en moyenne3129200.8992.8618654189884446504310101


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
A.J. GreerNational (BRA)LW281996-12-14QUÉYes209 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm762,500$404,592$0$0$No---------------------------
Adam BoqvistNational (BRA)D242000-08-15SUÈNo179 Lbs5 ft11YesNoFree AgentNoNo12025-04-24FalseFalsePro & Farm900,000$477,551$0$0$No---------------------------Lien
Alex BelzileNational (BRA)RW331991-08-31QUÉNo196 Lbs6 ft0YesNoFree AgentNoNo22025-04-21FalseFalsePro & Farm975,000$517,347$0$0$No975,000$--------975,000$--------Yes--------
Jack DruryNational (BRA)C252000-02-03USAYes174 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm925,000$490,816$0$0$No---------------------------
Jacob MoverareNational (BRA)D261998-08-31SUÈYes210 Lbs6 ft3NoNoFree AgentNoNo12024-05-01FalseFalsePro & Farm600,000$318,367$0$0$No---------------------------
Jansen Harkins (sur la masse salariale)National (BRA)C281997-05-23USAYes182 Lbs6 ft1NoNoFree AgentNoNo12024-03-03FalseFalsePro & Farm925,000$490,816$0$0$No---------------------------Lien
Kasperi KapanenNational (BRA)RW281996-07-23FINNo192 Lbs6 ft1YesNoFree Agent2025-03-13NoNo12025-05-20FalseFalsePro & Farm1,000,000$530,612$0$0$No---------------------------Lien
Kevin HayesNational (BRA)C/LW/RW331992-05-08USANo217 Lbs6 ft5YesNoFree AgentNoNo22025-05-02FalseFalsePro & Farm900,000$477,551$0$0$No900,000$--------900,000$--------Yes--------Lien
Maxime LajoieNational (BRA)D271997-11-05QUÉYes196 Lbs6 ft1NoNoFree AgentNoNo12025-04-11FalseFalsePro & Farm775,000$411,224$0$0$No---------------------------
Parker WotherspoonNational (BRA)D271997-08-24CANYes192 Lbs6 ft1NoNoFree AgentNoNo12025-04-14FalseFalsePro & Farm775,000$411,224$0$0$No---------------------------
Tye KartyeNational (BRA)LW242001-04-30CANYes202 Lbs5 ft11NoNoDraftNoNo22024-12-16FalseFalsePro & Farm925,000$490,816$0$0$No925,000$--------925,000$--------No--------
Vincent DesharnaisNational (BRA)D291996-05-29QUÉNo226 Lbs6 ft7NoNoFree AgentNoNo12024-04-01FalseFalsePro & Farm950,000$504,082$0$0$No---------------------------
Yaroslav AskarovNational (BRA)G232002-06-16RUSYes178 Lbs6 ft3NoNoDraftNoNo22025-05-23FalseFalsePro & Farm1,775,000$941,837$0$0$No1,775,000$--------1,775,000$--------No--------
Zach BogosianNational (BRA)D341990-07-15USANo215 Lbs6 ft3YesNoFree AgentNoNo12025-04-21FalseFalsePro & Farm880,000$466,939$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1427.79198 Lbs6 ft21.29933,393$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tye KartyeKevin HayesKasperi Kapanen40122
2A.J. GreerJack Drury30122
320122
4Jack DruryKevin HayesKasperi Kapanen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach Bogosian40122
2Adam Boqvist30122
3Parker Wotherspoon20122
4Zach Bogosian10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tye KartyeKevin HayesKasperi Kapanen60122
2A.J. GreerJack Drury40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach Bogosian60122
2Adam Boqvist40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kevin HayesJack Drury60122
2Kasperi KapanenTye Kartye40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach Bogosian60122
2Adam Boqvist40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Kevin Hayes60122Zach Bogosian60122
2Jack Drury40122Adam Boqvist40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kevin HayesJack Drury60122
2Kasperi KapanenTye Kartye40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach Bogosian60122
2Adam Boqvist40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tye KartyeKevin HayesKasperi KapanenZach Bogosian
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tye KartyeKevin HayesKasperi KapanenZach Bogosian
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, A.J. Greer, Tye Kartye, A.J. GreerTye Kartye
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Parker Wotherspoon, Adam BoqvistParker Wotherspoon, Adam Boqvist
Tirs de pénalité
Kevin Hayes, Jack Drury, Kasperi Kapanen, Tye Kartye, A.J. Greer
Gardien
#1 : Yaroslav Askarov, #2 :


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
1Bolt1100000011291100000011290000000000021.0001121320094101931456505514594471321168787.50%3166.67%050071669.83%42362967.25%54575572.19%960622618266586333
2Distraction5500000048192944000000371621110000001138101.0004876124009410193122565055145941466147106261557.69%16756.25%050071669.83%42362967.25%54575572.19%960622618266586333
3Dynamos1010000046-21010000046-20000000000000.00047110094101931436505514594401512193133.33%6350.00%150071669.83%42362967.25%54575572.19%960622618266586333
4Extreme44000000328242200000020614220000001221081.0003251830094101931194650551459468242172251248.00%8187.50%050071669.83%42362967.25%54575572.19%960622618266586333
5Guerriers du Nord11000000826000000000001100000082621.0008132100941019313565055145943668172150.00%4250.00%050071669.83%42362967.25%54575572.19%960622618266586333
6Intrepides3210000022111121100000151051100000071640.6672230520094101931138650551459411543325213753.85%11372.73%150071669.83%42362967.25%54575572.19%960622618266586333
7L'Euphorie11000000413000000000001100000041321.0004812009410193139650551459446136213133.33%30100.00%050071669.83%42362967.25%54575572.19%960622618266586333
8Monkeys 220000001981100000000000220000001981141.00019365500941019311086505514594631924298675.00%7271.43%150071669.83%42362967.25%54575572.19%960622618266586333
9Monster32100000141042200000013491010000016-540.66714223600941019311256505514594732266210330.00%30100.00%050071669.83%42362967.25%54575572.19%960622618266586333
10Patriotes1100000012481100000012480000000000021.000122032009410193162650551459432136124250.00%3233.33%050071669.83%42362967.25%54575572.19%960622618266586333
11Prospects11000000862110000008620000000000021.000814220094101931566505514594321712124375.00%6350.00%050071669.83%42362967.25%54575572.19%960622618266586333
12Senators330000002872111000000716220000002161561.00028477500941019311446505514594641487517952.94%330.00%050071669.83%42362967.25%54575572.19%960622618266586333
13Sharks22000000192171100000090911000000102841.0001933520194101931926505514594391544412541.67%2150.00%050071669.83%42362967.25%54575572.19%960622618266586333
14Shokers11000000862000000000001100000086221.00081220009410193149650551459437146145360.00%3233.33%050071669.83%42362967.25%54575572.19%960622618266586333
15Warriors220000001761100000000000220000001761141.000173047009410193191650551459438102438450.00%10100.00%050071669.83%42362967.25%54575572.19%960622618266586333
16Wildcats320000101981110000010321220000001661061.00019304900941019311276505514594702020629444.44%10460.00%050071669.83%42362967.25%54575572.19%960622618266586333
17Youngblood220000001697110000009451100000075241.00016294500941019318765055145947225454214750.00%5340.00%050071669.83%42362967.25%54575572.19%960622618266586333
Total36323000102891151741815200010148618718171000001415487660.91728947976801941019311660650551459410183442806981719052.63%943760.64%350071669.83%42362967.25%54575572.19%960622618266586333
_Since Last GM Reset36323000102891151741815200010148618718171000001415487660.91728947976801941019311660650551459410183442806981719052.63%943760.64%350071669.83%42362967.25%54575572.19%960622618266586333
_Vs Conference262320001020182119151310001012550751110100000763244480.9232013265270194101931117765055145947452672205031296751.94%702564.29%150071669.83%42362967.25%54575572.19%960622618266586333
_Vs Division716200000631449310100000285234610000035926322.28663108171019410193133765055145941815524152361747.22%11645.45%050071669.83%42362967.25%54575572.19%960622618266586333

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3666L12894797681660101834428069801
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
363230010289115
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
18152001014861
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
18171000014154
Derniers 10 matchs
WLOTWOTL SOWSOL
910000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1719052.63%943760.64%3
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
650551459494101931
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
50071669.83%42362967.25%54575572.19%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
960622618266586333


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
14Extreme5National8WSommaire du match
217National8Shokers6WSommaire du match
428Distraction4National11WSommaire du match
747National1Monster6LSommaire du match
856Distraction5National11WSommaire du match
1171National8Monkeys 5WSommaire du match
1275Intrepides3National10WSommaire du match
1491National5Extreme1WSommaire du match
16104National7Youngblood5WSommaire du match
18113Monster2National5WSommaire du match
21132Wildcats2National3WXXSommaire du match
22135National7Intrepides1WSommaire du match
24155National7Wildcats2WSommaire du match
26163Distraction3National4WSommaire du match
28177Patriotes4National12WSommaire du match
30181National9Senators4WSommaire du match
32197Intrepides7National5LSommaire du match
34210National4L'Euphorie1WSommaire du match
37226Distraction4National11WSommaire du match
38235National9Wildcats4WSommaire du match
40244National10Sharks2WSommaire du match
42255Extreme1National12WSommaire du match
45275Youngblood4National9WSommaire du match
46284National12Senators2WSommaire du match
48293Sharks0National9WSommaire du match
51312National6Warriors4WSommaire du match
52320National8Guerriers du Nord2WSommaire du match
54325Bolt2National11WSommaire du match
56348Senators1National7WSommaire du match
59358Prospects6National8WSommaire du match
60367National7Extreme1WSommaire du match
62378National11Monkeys 3WSommaire du match
64393Monster2National8WSommaire du match
65398National11Warriors2WSommaire du match
67408National11Distraction3WSommaire du match
69422Dynamos6National4LSommaire du match
70436National-Destroyers-
72447National-Prospects-
74457Shokers-National-
76468Intrepides-National-
78484Wildcats-National-
80492National-Bolt-
81507National-Senators-
83519Patriotes-National-
84528National-Intrepides-
85542National-Distraction-
87551Dynamos-National-
89567National-Intrepides-
90573Youngblood-National-
92593L'Euphorie-National-
93601National-Guerriers du Nord-
95614National-L'Euphorie-
97623Guerriers du Nord-National-
99633National-Prospects-
100646Bolt-National-
101654National-Shokers-
102669Youngblood-National-
104684National-Wildcats-
107696Monkeys -National-
108709Extreme-National-
110725National-Monkeys -
111735Shokers-National-
113748National-Youngblood-
114757National-Les Restants-
116767Les Restants-National-
117782Extreme-National-
119794National-Youngblood-
120805Falcons-National-
122821National-Monster-
124833Shokers-National-
125842National-Monster-
126849National-Shokers-
128860Monsters-National-
129876National-Vikings-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
130885Monster-National-
133901Sharks-National-
135921Destroyers-National-
136923National-Vikings-
137934National-Distraction-
139946National-Extreme-
141959Brawlers-National-
144973Monsters-National-



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
23 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
850,544$ 1,214,250$ 1,214,250$ 550,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 592,369$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 78 12,002$ 936,156$




National 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
1Jansen Harkins1081241542781581217215271017.46%37207719.2429568566101115567.10%142.6801
2Zach Bogosian126632062691631902691576719.39%143343027.2346841301050662251100.00%41.5700
3A.J. Greer92919718881901947149518.38%29165417.983742796801156357.14%92.2711
4Alex Belzile63691001697420748537718.30%37129120.5123436648011110466.67%72.6212
5Fabian Zetterlund5679741538056775336321.76%30124622.2629336239112810565.60%122.4601

National 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
1Casey DeSmith7972600.9022.6547110320821201053501.0005
2Yaroslav Askarov3129200.8992.8618654189884446501.0004

National 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
202082304103800432468-3641171802400219218141132301400213250-37744327751207001051581663249578480989662821991606113623311549.36%30015747.67%15607120250.50%634130448.62%932190548.92%169299718507431388655
202182155605501336541-2054172705200168268-1004182900301168273-1054633664097610501471346185751762669831271490470511832099043.06%34020539.71%939798640.26%491130837.54%763187240.76%154385419478131447639
202282324302410422477-5541181801310219221-241142501100203256-5374422787120910741761693227566980679882669846687116025312549.41%32215452.17%20469110542.44%524133939.13%795190041.84%162692618947881412652
202382737000205982233754138100020314109205413560000028411417015059810261624031332552083385213791333113962200703822167932620663.19%2638966.16%11989174956.55%861153955.95%1033168961.16%2159136814576041312759
2024363230001028911517418152000101486187181710000014154876628947976801941019311660650551459410183442806981719052.63%943760.64%350071669.83%42362967.25%54575572.19%960622618266586333
Total Saison régulière36418215001017412077182425318295660894010688771911828784028011009947624102077370757842445683777016121393999412539905511422378831005856119262652.52%131964251.33%582962575851.44%2933611947.93%4068812150.09%798247707768321761473041
Séries éliminatoires
202040400000928-1920200000413-920200000515-1009142300522011439344101323548437342.86%191047.37%0198223.17%225440.74%287935.44%674097447524
2022404000002341-18202000001017-7202000001324-1102344670066110101232652017063384313538.46%191710.53%1183847.37%307241.67%4310640.57%7244105366226
20231816200000112427098100000502129981000006221413211217929101124950186728526430414565191269399793645.57%581475.86%229547062.77%25440263.18%21234361.81%484305328128277165
Total Séries éliminatoires261610000001441113313850000064511313850000080602032144237381012357631108234732439714867289355485994444.44%964157.29%333259056.27%30652857.95%28352853.60%624390530209415217

National 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
1Fabian Zetterlund16192544172381513214.39%1337923.69910191820242160.87%12.3200
2Jansen Harkins1417223916226239917.17%528620.47513182300001369.03%02.7200
3Bobby McMann189172618733218910.11%1031217.38123100002061.34%01.6600
4Vincent Desharnais183212427133119704.29%2951928.89291170116000%00.9200
5Brandon Duhaime1810616122228127613.16%826514.76314800024067.74%01.2000

National 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
1Casey DeSmith1816020.9262.31109021425652773000