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Nashua Jr Vikings
GP: 0 | W: 0 | L: 0 | T: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: | Morale : 50 | Moyenne d’équipe : 63
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur général
DivisionNorthern Division
ConférenceNorthern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro18
Équipe Mineure18
Limite contact 36 / 250
Espoirs1


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
1Tyler Vieth0X100.00772657696680656687676460508255595065017550,000$
2Aaron Huff0X100.00452068677273686998725352508360625063018550,000$
3Randy Boscarino0X100.00642367687475866144528027508965505062020350,000$
4Blaine Jacobson0X100.00401884767474807854366339508858685061019350,000$
5Jeremy Shaw0X100.00553673657979757468625443506951755061017550,000$
6Max Carney0X100.00672893677178776663486161505744685061016550,000$
7Blake Hammis0X100.00562079718173776878616437506835575061016550,000$
8Bryant Niebel0X100.00664869707076756058555953507332745060018350,000$
9Reed Korczynski0X100.00965050658185514648644448507773445059021150,000$
10Noah Davey0X100.002718963807648411653358250749468505802100$
11Devin Peters0X100.00666052727183886335524762507731635064017550,000$
12Cameron Maselli0X100.00364086667177845029413370508378695063019350,000$
13Ethan Brinson0X100.00601998667879545626453270507857435063018550,000$
14Tyler Bristow0X100.00626366687784804131353254509781535061020250,000$
15Mark Taylor0X100.00505372677781685036324269506555605061020250,000$
Rayé
MOYENNE D’ÉQUIPE100.00583474687578725951525155507758615062
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
1Charles Fielder0100.0065848470738775848672507247715075018450,000$
2Brendan Conway0100.0080287971748978608370508669525072016550,000$
Rayé
1Sam Abadie0100.0080705872707169836973509435555070021150,000$
MOYENNE D’ÉQUIPE100.0075617471728274767972508450595072
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
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


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Lien
Aaron HuffNashua Jr Vikings (Nas)LW184/14/2003No193 Lbs6 ft0NoNoNoNo5Pro & Farm50,000$0$0$No50,000$50,000$50,000$50,000$
Blaine JacobsonNashua Jr Vikings (Nas)LW194/18/2002No170 Lbs6 ft1NoNoNoNo3Pro & Farm50,000$0$0$No50,000$50,000$
Blake HammisNashua Jr Vikings (Nas)LW163/15/2005No168 Lbs5 ft7NoNoNoNo5Pro & Farm50,000$0$0$No50,000$50,000$50,000$50,000$
Brendan ConwayNashua Jr Vikings (Nas)G165/2/2005No185 Lbs5 ft7NoNoNoNo5Pro & Farm50,000$0$0$No50,000$50,000$50,000$50,000$
Bryant NiebelNashua Jr Vikings (Nas)LW189/11/2002No180 Lbs6 ft0NoNoNoNo3Pro & Farm50,000$0$0$No50,000$50,000$
Cameron MaselliNashua Jr Vikings (Nas)D196/5/2002No186 Lbs5 ft10NoNoNoNo3Pro & Farm50,000$0$0$No50,000$50,000$
Charles FielderNashua Jr Vikings (Nas)G187/26/2002No180 Lbs5 ft7NoNoNoNo4Pro & Farm50,000$0$0$No50,000$50,000$50,000$
Devin PetersNashua Jr Vikings (Nas)D176/4/2004No179 Lbs6 ft0NoNoNoNo5Pro & Farm50,000$0$0$No50,000$50,000$50,000$50,000$
Ethan BrinsonNashua Jr Vikings (Nas)D181/19/2003No196 Lbs6 ft0NoNoNoNo5Pro & Farm50,000$0$0$No50,000$50,000$50,000$50,000$
Jeremy ShawNashua Jr Vikings (Nas)RW1710/5/2003No188 Lbs5 ft9NoNoNoNo5Pro & Farm50,000$0$0$No50,000$50,000$50,000$50,000$
Mark TaylorNashua Jr Vikings (Nas)D203/2/2001No205 Lbs6 ft4NoNoNoNo2Pro & Farm50,000$0$0$No50,000$
Max CarneyNashua Jr Vikings (Nas)C165/28/2005No161 Lbs5 ft8NoNoNoNo5Pro & Farm50,000$0$0$No50,000$50,000$50,000$50,000$
Noah DaveyNashua Jr Vikings (Nas)C219/3/1999No220 Lbs6 ft5NoNoNoNo0Pro & Farm0$0$No
Randy BoscarinoNashua Jr Vikings (Nas)C209/28/2000No193 Lbs6 ft2NoNoNoNo3Pro & Farm50,000$0$0$No50,000$50,000$
Reed KorczynskiNashua Jr Vikings (Nas)RW218/9/1999No215 Lbs6 ft6NoNoNoNo1Pro & Farm50,000$0$0$No
Sam AbadieNashua Jr Vikings (Nas)G212/25/2000No166 Lbs6 ft2NoNoNoNo1Pro & Farm50,000$0$0$No
Tyler BristowNashua Jr Vikings (Nas)D205/22/2001No202 Lbs6 ft5NoNoNoNo2Pro & Farm50,000$0$0$No50,000$
Tyler ViethNashua Jr Vikings (Nas)RW176/10/2004No170 Lbs5 ft7NoNoNoNo5Pro & Farm50,000$0$0$No50,000$50,000$50,000$50,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1818.44187 Lbs6 ft03.4447,222$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Blake HammisRandy BoscarinoTyler Vieth40122
2Aaron HuffMax CarneyJeremy Shaw30122
3Bryant NiebelNoah DaveyReed Korczynski20122
4Blaine JacobsonTyler Vieth10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan BrinsonDevin Peters40122
2Cameron MaselliMark Taylor30122
3Tyler BristowEthan Brinson20122
4Devin PetersCameron Maselli10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Blake HammisRandy BoscarinoTyler Vieth60122
2Aaron HuffMax CarneyJeremy Shaw40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan BrinsonDevin Peters60122
2Cameron MaselliMark Taylor40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tyler ViethRandy Boscarino60122
2Blake HammisAaron Huff40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan BrinsonDevin Peters60122
2Cameron MaselliMark Taylor40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tyler Vieth60122Ethan BrinsonDevin Peters60122
2Randy Boscarino40122Cameron MaselliMark Taylor40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tyler ViethRandy Boscarino60122
2Blake HammisAaron Huff40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan BrinsonDevin Peters60122
2Cameron MaselliMark Taylor40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Blake HammisRandy BoscarinoTyler ViethEthan BrinsonDevin Peters
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Blake HammisRandy BoscarinoTyler ViethEthan BrinsonDevin Peters
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Bryant Niebel, Blaine Jacobson, Bryant NiebelBlaine Jacobson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyler Bristow, Mark Taylor, Ethan BrinsonTyler BristowMark Taylor, Ethan Brinson
Tirs de pénalité
Tyler Vieth, Randy Boscarino, Blake Hammis, Aaron Huff, Jeremy Shaw
Gardien
#1 : Charles Fielder, #2 : Brendan Conway


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL TGFGA
00000000
Matchs locaux
GPWLOTWOTL TGFGA
00000000
Matchs extérieurs
GPWLOTWOTL TGFGA
00000000
Derniers 10 matchs
WLOTWOTL T
00000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%0
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
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
15 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 85,000$ 85,000$ 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$




Nashua Jr Vikings 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

Nashua Jr Vikings 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

Nashua Jr Vikings 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

Nashua Jr Vikings 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

Nashua Jr Vikings 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