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Connexion

National
GP: 30 | W: 28 | L: 2 | OTL: 0 | P: 56
GF: 237 | GA: 98 | PP%: 51.03% | PK%: 59.74%
DG: Benoit Tassé | Morale : 75 | Moyenne d’équipe : 67
Prochains matchs #367 vs Extreme

Centre de jeu
Senators
5-23-2, 12pts
1
FINAL
7 National
28-2-0, 56pts
Team Stats
W1SéquenceW13
4-11-0Fiche domicile15-1-0
1-12-2Fiche domicile13-1-0
3-7-0Derniers 10 matchs10-0-0
3.77Buts par match 7.90
7.17Buts contre par match 3.27
34.67%Pourcentage en avantage numérique51.03%
33.91%Pourcentage en désavantage numérique59.74%
Prospects
16-13-1, 33pts
6
FINAL
8 National
28-2-0, 56pts
Team Stats
L1SéquenceW13
10-4-1Fiche domicile15-1-0
6-9-0Fiche domicile13-1-0
6-3-1Derniers 10 matchs10-0-0
5.07Buts par match 7.90
5.57Buts contre par match 3.27
43.59%Pourcentage en avantage numérique51.03%
44.33%Pourcentage en désavantage numérique59.74%
National
28-2-0, 56pts
Jour 60
Extreme
6-23-1, 13pts
Statistiques d’équipe
W13SéquenceL2
15-1-0Fiche domicile3-11-1
13-1-0Fiche visiteur3-12-0
10-0-010 derniers matchs1-9-0
7.90Buts par match 3.97
3.27Buts contre par match 3.97
51.03%Pourcentage en avantage numérique42.86%
59.74%Pourcentage en désavantage numérique45.08%
National
28-2-0, 56pts
Jour 62
Monkeys
12-15-3, 27pts
Statistiques d’équipe
W13SéquenceW1
15-1-0Fiche domicile6-8-1
13-1-0Fiche visiteur6-7-2
10-0-010 derniers matchs5-4-1
7.90Buts par match 5.70
3.27Buts contre par match 5.70
51.03%Pourcentage en avantage numérique56.19%
59.74%Pourcentage en désavantage numérique55.42%
Monster
9-19-2, 20pts
Jour 64
National
28-2-0, 56pts
Statistiques d’équipe
L2SéquenceW13
6-8-1Fiche domicile15-1-0
3-11-1Fiche visiteur13-1-0
2-6-210 derniers matchs10-0-0
4.90Buts par match 7.90
6.83Buts contre par match 7.90
40.00%Pourcentage en avantage numérique51.03%
39.34%Pourcentage en désavantage numérique59.74%
Meneurs d'équipe
Buts
Jansen Harkins
42
Passes
Jack Drury
51
Points
Jack Drury
83
Plus/Moins
Jansen Harkins
51
Victoires
Yaroslav Askarov
24
Pourcentage d’arrêts
Yaroslav Askarov
0.903

Statistiques d’équipe
Buts pour
237
7.90 GFG
Tirs pour
1390
46.33 Avg
Pourcentage en avantage numérique
51.0%
74 GF
Début de zone offensive
34.2%
Buts contre
98
3.27 GAA
Tirs contre
877
29.23 Avg
Pourcentage en désavantage numérique
59.7%%
31 GA
Début de la zone défensive
29.8%
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 actuelle28-2-0 (56PTS)
Historique191-149-11 (0.544%)
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 BelzileX100.0076609185847840746373757856677104371N0332975,000$
2Kevin HayesXXX99.0070739678867688718570727250848208171N0332900,000$
3Tye Kartye (R)X100.00946890898673846960667174506971082690242925,000$
4Kasperi KapanenX100.0076619590837681685070667850787804869N02811,000,000$
5Jack Drury (R)X99.00685490877374817180736876507274080690251925,000$
6Jansen Harkins (R)X100.00745388837676406750647074507069080660281925,000$
7A.J. Greer (R)X100.00887787778768636650656772507073075660281762,500$
8Zach BogosianX99.0088748081918274675068657750878206373N0341880,000$
9Vincent DesharnaisX100.00827182779179406450676082506871032690291950,000$
10Adam BoqvistX100.0064539987758340685073636450717308068N0241900,000$
11Parker Wotherspoon (R)X100.00505050505050505050505050505050080490271775,000$
Rayé
1Jacob Moverare (R)X98.60866295768580406050606075506565058660261600,000$
2Maxime Lajoie (R)X100.00735795917773406050606059506870050630271775,000$
MOYENNE D’ÉQUIPE99.6276638881807459665766657250717106667
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)C3032518335404562138489923.19%2258619.5411213220740221402071.77%3794914032.8301000642
2Jansen HarkinsNational (BRA)C30422870510062342286614918.42%1461420.501124240000174165.70%1724333052.28000001222
3Kevin HayesNational (BRA)C/LW/RW302741682314104457155389417.42%2066822.289213016831014593172.82%9052729012.0301101125
4Tye KartyeNational (BRA)LW303332652524106125160417320.63%2057219.0916112723801011371163.33%605017042.2711200655
5A.J. GreerNational (BRA)LW29242751261354718148508816.22%550317.3811152620620000122052.00%253013032.0200010155
6Adam BoqvistNational (BRA)D29533382513527189753415.15%3365622.6334711660000400033.33%32331001.1600001011
7Zach BogosianNational (BRA)D15230323215528214219314.76%1740927.3311011463000028000%0829001.5600100034
8Kasperi KapanenNational (BRA)RW14111930133810221243142525.58%924117.27211134330000102063.33%30218002.4800011030
9Jacob MoverareNational (BRA)D2632528376050286227274.84%3557222.0022434000001910100.00%11031000.9800000022
10Alex BelzileNational (BRA)RW9971620010155892915.52%517319.23641014250001162165.38%26156001.8501000120
11Parker WotherspoonNational (BRA)D30015152326033145230190%1748216.07011125000021000%0219000.6200000000
12Maxime LajoieNational (BRA)D221121324025153419262.94%1840818.550001310000230033.33%31018000.6400000001
13Vincent DesharnaisNational (BRA)D1000160101000%52323.400000000003000%00000000000000
Statistiques d’équipe totales ou en moyenne29518932050929516345455319121841470115.52%220591220.0462101163121613224733217470.70%16042882480161.7214423272927
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)2524100.9032.8715054172743383401.0004250101
Statistiques d’équipe totales ou en moyenne2524100.9032.8715054172743383404250101


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$456,463$0$0$No---------------------------
Adam BoqvistNational (BRA)D242000-08-15SUÈNo179 Lbs5 ft11YesNoFree AgentNoNo12025-04-24FalseFalsePro & Farm900,000$538,776$0$0$No---------------------------Lien
Alex BelzileNational (BRA)RW331991-08-31QUÉNo196 Lbs6 ft0YesNoFree AgentNoNo22025-04-21FalseFalsePro & Farm975,000$583,673$0$0$No975,000$--------975,000$--------Yes--------
Jack DruryNational (BRA)C252000-02-03USAYes174 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm925,000$553,741$0$0$No---------------------------
Jacob MoverareNational (BRA)D261998-08-31SUÈYes210 Lbs6 ft3NoNoFree AgentNoNo12024-05-01FalseFalsePro & Farm600,000$359,184$0$0$No---------------------------
Jansen HarkinsNational (BRA)C281997-05-23USAYes182 Lbs6 ft1NoNoFree AgentNoNo12024-03-03FalseFalsePro & Farm925,000$553,741$0$0$No---------------------------Lien
Kasperi KapanenNational (BRA)RW281996-07-23FINNo192 Lbs6 ft1YesNoFree Agent2025-03-13NoNo12025-05-20FalseFalsePro & Farm1,000,000$598,639$0$0$No---------------------------Lien
Kevin HayesNational (BRA)C/LW/RW331992-05-08USANo217 Lbs6 ft5YesNoFree AgentNoNo22025-05-02FalseFalsePro & Farm900,000$538,776$0$0$No900,000$--------900,000$--------Yes--------Lien
Maxime LajoieNational (BRA)D271997-11-05QUÉYes196 Lbs6 ft1NoNoFree AgentNoNo12025-04-11FalseFalsePro & Farm775,000$463,946$0$0$No---------------------------
Parker WotherspoonNational (BRA)D271997-08-24CANYes192 Lbs6 ft1NoNoFree AgentNoNo12025-04-14FalseFalsePro & Farm775,000$463,946$0$0$No---------------------------
Tye KartyeNational (BRA)LW242001-04-30CANYes202 Lbs5 ft11NoNoDraftNoNo22024-12-16FalseFalsePro & Farm925,000$553,741$0$0$No925,000$--------925,000$--------No--------
Vincent DesharnaisNational (BRA)D291996-05-29QUÉNo226 Lbs6 ft7NoNoFree AgentNoNo12024-04-01FalseFalsePro & Farm950,000$568,707$0$0$No---------------------------
Yaroslav AskarovNational (BRA)G232002-06-16RUSYes178 Lbs6 ft3NoNoDraftNoNo22025-05-23FalseFalsePro & Farm1,775,000$1,062,585$0$0$No1,775,000$--------1,775,000$--------No--------
Zach BogosianNational (BRA)D341990-07-15USANo215 Lbs6 ft3YesNoFree AgentNoNo12025-04-21FalseFalsePro & Farm880,000$526,803$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
3Jansen Harkins20122
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
Jansen Harkins, A.J. Greer, Tye KartyeJansen Harkins, 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
1Bolt1100000011291100000011290000000000021.000112132007678821455594323994471321168787.50%3166.67%042260170.22%35652467.94%44463170.36%805524515219483276
2Distraction44000000371621440000003716210000000000081.0003757940076788211815594323994127574184201260.00%13561.54%042260170.22%35652467.94%44463170.36%805524515219483276
3Extreme330000002571822000000206141100000051461.00025396400767882115655943239944715106121942.86%5180.00%042260170.22%35652467.94%44463170.36%805524515219483276
4Guerriers du Nord11000000826000000000001100000082621.000813210076788213555943239943668172150.00%4250.00%042260170.22%35652467.94%44463170.36%805524515219483276
5Intrepides3210000022111121100000151051100000071640.667223052007678821138559432399411543325213753.85%11372.73%142260170.22%35652467.94%44463170.36%805524515219483276
6L'Euphorie11000000413000000000001100000041321.000481200767882139559432399446136213133.33%30100.00%042260170.22%35652467.94%44463170.36%805524515219483276
7Monkeys 11000000853000000000001100000085321.0008152300767882152559432399438128143133.33%4175.00%142260170.22%35652467.94%44463170.36%805524515219483276
8Monster2110000068-2110000005231010000016-520.5006101600767882182559432399452134445120.00%20100.00%042260170.22%35652467.94%44463170.36%805524515219483276
9Patriotes1100000012481100000012480000000000021.00012203200767882162559432399432136124250.00%3233.33%042260170.22%35652467.94%44463170.36%805524515219483276
10Prospects11000000862110000008620000000000021.00081422007678821565594323994321712124375.00%6350.00%042260170.22%35652467.94%44463170.36%805524515219483276
11Senators330000002872111000000716220000002161561.0002847750076788211445594323994641487517952.94%330.00%042260170.22%35652467.94%44463170.36%805524515219483276
12Sharks22000000192171100000090911000000102841.000193352017678821925594323994391544412541.67%2150.00%042260170.22%35652467.94%44463170.36%805524515219483276
13Shokers11000000862000000000001100000086221.0008122000767882149559432399437146145360.00%3233.33%042260170.22%35652467.94%44463170.36%805524515219483276
14Warriors11000000642000000000001100000064221.000611170076788214555943239942350235240.00%000%042260170.22%35652467.94%44463170.36%805524515219483276
15Wildcats320000101981110000010321220000001661061.0001930490076788211275594323994702020629444.44%10460.00%042260170.22%35652467.94%44463170.36%805524515219483276
16Youngblood220000001697110000009451100000075241.0001629450076788218755943239947225454214750.00%5340.00%042260170.22%35652467.94%44463170.36%805524515219483276
Total3027200010237981391614100010136538314131000001014556560.933237389626017678821139055943239948772952315931457451.03%773159.74%242260170.22%35652467.94%44463170.36%805524515219483276
_Since Last GM Reset3027200010237981391614100010136538314131000001014556560.933237389626017678821139055943239948772952315931457451.03%773159.74%242260170.22%35652467.94%44463170.36%805524515219483276
_Vs Conference232020001017576991412100010117486998100000582830420.913175283458017678821105255943239946842452014521145951.75%632363.49%142260170.22%35652467.94%44463170.36%805524515219483276
_Vs Division71320000063144939100000285234410000035926261.8576310817101767882133755943239941815524152361747.22%11645.45%042260170.22%35652467.94%44463170.36%805524515219483276

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3056W13237389626139087729523159301
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
30272001023798
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
16141001013653
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
14131000010145
Derniers 10 matchs
WLOTWOTL SOWSOL
1000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1457451.03%773159.74%2
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
55943239947678821
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
42260170.22%35652467.94%44463170.36%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
805524515219483276


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
60367National-Extreme-
62378National-Monkeys -
64393Monster-National-
65398National-Warriors-
67408National-Distraction-
69422Dynamos-National-
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
25 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
724,863$ 1,306,750$ 1,306,750$ 550,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 504,108$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 88 12,631$ 1,111,528$




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 Harkins1021161462621431216714566717.39%37198819.5029558466101115467.00%132.6301
2Zach Bogosian120591972561491832581456389.25%133326227.194382125970662051100.00%41.5700
3Alex Belzile63691001697420748537718.30%37129120.5123436648011110466.67%72.6212
4A.J. Greer86848516975881836346518.06%27152617.753437716301156358.23%92.2111
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 Askarov2524100.9032.8715054172743383401.0004

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
2024302720001023798139161410001013653831413100000101455656237389626017678821139055943239948772952315931457451.03%773159.74%242260170.22%35652467.94%44463170.36%805524515219483276
Total Saison régulière3581771490101741202518072181809465089401056869187178838402801969938314002025361756422443881475916118693908400639305511281373930515751116661052.32%130263651.15%572884564351.11%2866601447.66%3967799749.61%782746717665317060452984
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