Connexion

Norsemen
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Pascal | Morale : 99 | Moyenne d’équipe : N/A
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralPascal
EntraîneurJay Leach
DivisionNorth Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité8,000
Assistance
Billets de saison800


Informations de la formation

Équipe Pro29
Équipe Mineure21
Limite contact 50 / 65
Espoirs22


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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Brayden TraceyXX100.00555555555555555555555555555662079002311,575,000$
2Kieffer BellowsXXX100.0055555555555555555555555555556407400261950,000$
3Olivier NadeauXXX100.0055555555555555555555555555415608600211975,000$
4Daylan KueflerXX100.0055555555555555555555555555415608600222750,000$
5Shane WrightX100.00605092717380916682666667654156099002021,500,000$
6Akito HiroseX100.0062509460657981612562617265476109900251682,500$
7Joni JurmoX100.0055555555555555555555555555415602000221975,000$
Rayé
1Connor ZaryX100.00645092876882917664727267675359099002342,500,000$
2Samuel PoulinXX100.00645087707875846564656570655462099002311,575,000$
3Cole ReinhardtXX100.0055555555555555555555555555555908700242682,500$
4Tyler BensonXXX100.0055555555555555555555555555646907200261997,500$
5Carson FochtX100.0055555555555555555555555555575902600242866,250$
6Leo CarlssonX100.006550938674858676787272697222099002031,500,000$
7Niko Huuhtanen (R)XX100.0055555555555555555555555555220101213700,000$
8Anton Wahlberg (R)X100.00555555555555555555555555552201011931,250,000$
9Austin Roest (R)XXX100.0055555555555555555555555555220101203700,000$
10Brady Stonehouse (R)XX100.0055555555555555555555555555220101203650,000$
11Oscar Fisker Molgaard (R)X100.0055555555555555555555555555220101193975,000$
12Kasper Halttunen (R)XX100.00555555555555555555555555552201011931,500,000$
13Daemon HuntX100.0060509071767890672570657365535909900222866,250$
14Luke ProkopX100.00555555555555555555555555555559052002221,023,750$
15Lucas CarlssonX100.0055555555555555555555555555566107500271945,000$
16Maximus WannerX100.0055555555555555555555555555415602300212700,000$
17Joel Nystrom (R)X100.0055555555555555555555555555220101222650,000$
18Emil Pieniniemi (R)X100.0055555555555555555555555555220101193975,000$
MOYENNE D’ÉQUIPE100.005754646059616358555858595833390510
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Jonas Johansson100.007079758869677369756473636709900292925,000$
Rayé
1Jakub Skarek100.0055555555555555555555555665049002521,074,938$
2Dennis Hildeby100.0055555555555555555555554760078002321,096,988$
3Thomas Milic (R)100.005555555555555555555555220101213825,000$
MOYENNE D’ÉQUIPE100.00596160635958605960576042490570
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jay Leach7277688264691USA441600,000$


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
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 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
Akito HiroseNorsemen (MIN)D251999-04-09CANNo170 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm682,500$682,500$68,250$68,250$No---------------------------
Anton WahlbergNorsemen (MIN)C192005-07-04SWEYes194 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm1,250,000$1,250,000$125,000$125,000$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Austin RoestNorsemen (MIN)C/LW/RW202004-01-22CANYes181 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm700,000$700,000$70,000$70,000$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Brady StonehouseNorsemen (MIN)LW/RW202004-08-06CANYes194 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm650,000$650,000$65,000$65,000$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Brayden TraceyNorsemen (MIN)LW/RW232001-05-28CANNo177 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,575,000$1,575,000$157,500$157,500$No---------------------------
Carson FochtNorsemen (MIN)C242000-02-04CANNo181 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm866,250$866,250$86,625$86,625$No866,250$--------866,250$--------No--------
Cole ReinhardtNorsemen (MIN)LW/RW242000-02-01CANNo200 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm682,500$682,500$68,250$68,250$No682,500$--------682,500$--------No--------
Connor ZaryNorsemen (MIN)C232001-09-25CANNo178 Lbs6 ft0NoNoN/ANoNo4FalseFalsePro & Farm2,500,000$2,500,000$250,000$250,000$No2,500,000$2,500,000$2,500,000$------2,500,000$2,500,000$2,500,000$------NoNoNo------
Daemon HuntNorsemen (MIN)D222002-05-15CANNo201 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm866,250$866,250$86,625$86,625$No866,250$--------866,250$--------No--------
Daylan KueflerNorsemen (MIN)LW/RW222002-02-10CANNo188 Lbs7 ft2NoNoN/ANoNo2FalseFalsePro & Farm750,000$750,000$75,000$75,000$No750,000$--------750,000$--------No--------
Dennis HildebyNorsemen (MIN)G232001-08-19SWENo234 Lbs6 ft6NoNoN/ANoNo2FalseFalsePro & Farm1,096,988$1,096,988$109,699$109,699$No1,096,988$--------1,096,988$--------No--------
Emil PieniniemiNorsemen (MIN)D192005-03-02FINYes176 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm975,000$975,000$97,500$97,500$No975,000$975,000$-------975,000$975,000$-------NoNo-------
Jakub SkarekNorsemen (MIN)G251999-11-10CZENo196 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,074,938$1,074,938$107,494$107,494$No1,074,938$--------1,074,938$--------No--------
Joel NystromNorsemen (MIN)D222002-05-14SWEYes174 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm650,000$650,000$65,000$65,000$No650,000$--------650,000$--------No--------
Jonas JohanssonNorsemen (MIN)G291995-09-19SWENo219 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm925,000$925,000$92,500$92,500$No925,000$--------925,000$--------No--------
Joni JurmoNorsemen (MIN)D222002-04-19FINNo198 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm975,000$975,000$97,500$97,500$No---------------------------
Kasper HalttunenNorsemen (MIN)LW/RW192005-06-07FINYes216 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm1,500,000$1,500,000$150,000$150,000$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Kieffer BellowsNorsemen (MIN)C/LW/RW261998-06-10USANo195 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm950,000$950,000$95,000$95,000$No---------------------------
Leo CarlssonNorsemen (MIN)C202004-12-26SWENo194 Lbs6 ft3NoNoFree AgentNoNo32024-08-25FalseFalsePro & Farm1,500,000$1,500,000$150,000$150,000$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Lucas CarlssonNorsemen (MIN)D271997-07-05SWENo189 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm945,000$945,000$94,500$94,500$No---------------------------
Luke ProkopNorsemen (MIN)D222002-05-06CANNo218 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm1,023,750$1,023,750$102,375$102,375$No1,023,750$--------1,023,750$--------No--------
Maximus WannerNorsemen (MIN)D212003-03-12CANNo191 Lbs7 ft0NoNoN/ANoNo2FalseFalsePro & Farm700,000$700,000$70,000$70,000$No700,000$--------700,000$--------No--------
Niko HuuhtanenNorsemen (MIN)LW/RW212003-06-26FINYes209 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm700,000$700,000$70,000$70,000$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Olivier NadeauNorsemen (MIN)C/LW/RW212003-01-15CANNo198 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm975,000$975,000$97,500$97,500$No---------------------------
Oscar Fisker MolgaardNorsemen (MIN)C192005-02-18DENYes168 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm975,000$975,000$97,500$97,500$No975,000$975,000$-------975,000$975,000$-------NoNo-------
Samuel PoulinNorsemen (MIN)LW/RW232001-02-25CANNo208 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,575,000$1,575,000$157,500$157,500$No---------------------------
Shane WrightNorsemen (MIN)C202004-01-05CANNo192 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$1,500,000$150,000$150,000$No1,500,000$--------1,500,000$--------No--------
Thomas MilicNorsemen (MIN)G212003-04-14CANYes179 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm825,000$825,000$82,500$82,500$No825,000$825,000$-------825,000$825,000$-------NoNo-------
Tyler Benson (contrat à 1 volet)Norsemen (MIN)C/LW/RW261998-03-15CANNo190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm997,500$997,500$997,500$997,500$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2922.34193 Lbs6 ft22.101,047,782$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kieffer Bellows35122
2Shane Wright33122
3Brayden TraceyDaylan Kuefler26122
4Olivier Nadeau6122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joni Jurmo33122
2Akito Hirose32122
332122
4Akito Hirose3122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
150122
2Kieffer BellowsShane Wright50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joni Jurmo50122
2Akito Hirose50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
150122
2Shane Wright50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
150122
2Akito Hirose50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
150122Joni Jurmo50122
250122Akito Hirose50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
150122
2Olivier NadeauKieffer Bellows50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Akito Hirose50122
2Joni Jurmo50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kieffer BellowsShane Wright
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Shane Wright
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Olivier Nadeau, , Olivier Nadeau
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Joni Jurmo, Akito Hirose, Joni JurmoJoni Jurmo, Akito Hirose
Tirs de pénalité
Shane Wright, , Brayden Tracey, ,
Gardien
#1 : Jonas Johansson, #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
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 SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
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
Capacité25005500
Prix des billets3111
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0%0$0$8000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,938,818$ 2,938,818$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 28 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Norsemen 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

Norsemen 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

Norsemen 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

Norsemen 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

Norsemen 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