Connexion


Centre de jeu
Nordiques
1-18-3, 5pts
2
FINAL
6 Oceanic
15-3-3, 33pts
Team Stats
L5StreakL1
0-10-1Home Record11-1-0
1-8-2Away Record4-2-3
0-7-3Last 10 Games7-2-1
2.18Buts par match 4.71
4.23Buts contre par match 3.43
11.90%Pourcentage en avantage numérique18.89%
82.79%Pourcentage en désavantage numérique80.00%
Draveurs
18-5-1, 37pts
5
FINAL
4 Nordiques
1-18-3, 5pts
Team Stats
W2StreakL5
10-0-1Home Record0-10-1
8-5-0Away Record1-8-2
7-3-0Last 10 Games0-7-3
4.58Buts par match 2.18
3.42Buts contre par match 4.23
18.55%Pourcentage en avantage numérique11.90%
80.00%Pourcentage en désavantage numérique82.79%
Magics
7-9-6, 20pts
Jour 51
Nordiques
1-18-3, 5pts
Stats Équipe
OTL1SéquenceL5
4-6-1Fiche domicile0-10-1
3-3-5Fiche visiteur1-8-2
2-5-310 derniers matchs0-7-3
3.00Buts par match 2.18
3.64Buts contre par match 4.23
14.14%Pourcentage en avantage numérique11.90%
84.52%Pourcentage en désavantage numérique82.79%
Nordiques
1-18-3, 5pts
Jour 53
Spiders
10-13-1, 21pts
Stats Équipe
L5SéquenceL4
0-10-1Fiche domicile7-4-0
1-8-2Fiche visiteur3-9-1
0-7-310 derniers matchs2-8-0
2.18Buts par match 3.33
4.23Buts contre par match 3.92
11.90%Pourcentage en avantage numérique15.46%
82.79%Pourcentage en désavantage numérique78.22%
Nordiques
1-18-3, 5pts
Jour 55
Roadrunners
13-9-1, 27pts
Stats Équipe
L5SéquenceL1
0-10-1Fiche domicile7-4-0
1-8-2Fiche visiteur6-5-1
0-7-310 derniers matchs5-5-0
2.18Buts par match 3.65
4.23Buts contre par match 3.61
11.90%Pourcentage en avantage numérique25.84%
82.79%Pourcentage en désavantage numérique79.37%
Meneurs d'équipe
Parker FordButs
Parker Ford
8
Glenn GawdinPasses
Glenn Gawdin
14
Glenn GawdinPoints
Glenn Gawdin
21
Glenn GawdinPlus/Moins
Glenn Gawdin
-1
Nikita TolopiloVictoires
Nikita Tolopilo
1
Isaac PoulterPourcentage d’arrêts
Isaac Poulter
0.962

Stats Équipe
Buts pour
48
2.18 GFG
Tirs pour
483
21.95 Avg
Pourcentage en avantage numérique
11.9%
10 GF
Début de zone offensive
36.5%
Buts contre
93
4.23 GAA
Tirs contre
696
31.64 Avg
Pourcentage en désavantage numérique
82.8%
21 GA
Début de la zone défensive
42.2%
Information d’équipe
Directeur généralSebastien Lessard
EntraîneurDoug Weight
DivisionPacific
ConférenceWestern
Capitaine
Assistant #1
Assistant #2
Informations de l’aréna
Capacité3,000
Assistance0
Billets de saison300
Information formation
Équipe Pro27
Équipe Mineure20
Limite contact 47 / 50
Espoirs16
Historique d'équipe
Saison actuelle1-18-3 (5PTS)
Historique802-711-151 (0.482%)
Apparitions séries éliminatoires 9
Historique séries éliminatoires (W-L)41-42
Stanley Cup1


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
1Glenn GawdinX100.00645674806481716040616070997880556650281700,000$
2Jonny BrodzinskiX100.005251888067747860835169664086803514640321800,000$
3Riley TufteX100.00615969758867575540506070907672606620271700,000$
4Mackenzie MacEachernX100.00724963786360505840615570408472406610311650,000$
5Ross JohnstonX100.00998057758769724940465263408477406610311725,000$
6Liam O'BrienX100.00998554757170624840465064408477403590311650,000$
7Sheldon DriesX100.007150797845746450703962664084794011590311650,000$
8Stephen HallidayX100.005944767575807054705752507368748018590232925,000$
9Patrick Giles (R)X100.00695890758070554769405562407271706580253850,000$
10Kai Uchacz (R)X100.00736068846877674340384852406672856560222950,000$
11Parker Ford (R)X100.00554972915060504640345867407266706560253950,000$
12Calle RosenX100.00484682765666615140525070408475406610311700,000$
13Cam DineenX100.00554483815463585840674961407670606610271700,000$
14Montana OnyebuchiX100.00798655757768633240293666407270709600251632,500$
15Philip KempX100.00826176757360553640274565407467656590261632,500$
16Nick CicekX100.00816468756755503640353763407264706570251632,500$
17Artem GuryevX100.00757038757955503240253860406661859560222925,000$
Rayé
1Emmitt Finnie (R)X100.006445908659605046705338564062619520550203950,000$
2Matyas Sapovaliv (R)X100.007654848071807036402943509964729020540213925,000$
3Oskar PetterssonX100.005239827570766634402741594068728020520232925,000$
4Coulson Pitre (R)X100.006146848656706036403734534064679020520213925,000$
5James Stefan (R)X100.005944868754605028402035504066638520470222950,000$
6Josh Filmon (R)X100.004838878843605025402030574064629020460212950,000$
7Artem GrushnikovX100.005850827563656029402532504066668520530222925,000$
MOYENNE D’ÉQUIPE 100.00675574796668604447404761487370681157
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
1Nikita Tolopilo (R)100.0075646699505252505052917262707600253950,000$
2Isaac Poulter100.00886467855050505050505070607511580241800,000$
Rayé
1Jiri Patera100.00755060955050505050506074626520580261700,000$
MOYENNE D’ÉQUIPE100.0079596493505151505051677261701359
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Doug Weight52554344897562USA544200,000$


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
1Glenn GawdinNordiques (Phi)C2271421-14086855243212.73%746521.14347177300011060046.10%61600000.9000000132
2Mackenzie MacEachernNordiques (Phi)LW226814-1212052696617279.09%343619.8304412640003660050.00%2600000.6400000310
3Calle RosenNordiques (Phi)D224812-1016032252052320.00%2949922.713031468000087100.00%000000.4800000202
4Parker FordNordiques (Phi)RW228311-112014753143715.09%932614.8300017000000036.84%1900000.6700000042
5Cam DineenNordiques (Phi)D22189-92005329117109.09%1749122.35000867000085000.00%000000.3700000023
6Ross JohnstonNordiques (Phi)RW22549-10360106173272215.63%340818.56202973000000059.09%2200000.4400000102
7Riley TufteNordiques (Phi)LW22178-12008365116391.96%651123.2405510700001980054.29%3500000.3100000100
8Artem GuryevNordiques (Phi)D22268-9671594963733.33%1733915.42011010000022000.00%000000.4700102202
9Marat KhusnutdinovFlyersC17448-11402755114347.84%635821.1001110521012680062.86%37700000.4500000010
10Kai UchaczNordiques (Phi)LW22268-111401531222199.09%234715.78101130000190065.00%2000000.4600000110
11Patrick GilesNordiques (Phi)RW22358-1140817339249.09%436716.691231166000000052.17%2300000.4400000100
12Liam O'BrienNordiques (Phi)C22156-34957233247254.17%727912.72000011000080046.03%23900000.4300001210
13Nick CicekNordiques (Phi)D22224-111603812101420.00%2837417.02000219000042000.00%000000.2100000000
14Philip KempNordiques (Phi)D22033-151803910104100.00%3346221.01000362011085000.00%000000.1300000000
15Montana OnyebuchiNordiques (Phi)D22033-153357114153100.00%2245120.52011665000074000.00%000000.1300100000
16Jonny BrodzinskiNordiques (Phi)C5022-40001410140.00%110320.770113160002210057.26%12400000.3900000000
17Sheldon DriesNordiques (Phi)C17202-500314111618.18%0844.9700000000040053.73%6700000.4700000001
18Stephen HallidayNordiques (Phi)C5000-700443030.00%08717.5200015000040051.52%6600000.0000000000
Statistiques d’équipe totales ou en moyenne3524888136-167295256065244831353369.94%194639418.1710192910874011297941051.96%163400000.4300203141314
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
1Nikita TolopiloNordiques (Phi)2211830.8634.37126221926700100.0000220102
2Isaac PoulterNordiques (Phi)20000.9620.9464001260000.0000022000
Statistiques d’équipe totales ou en moyenne2411830.8664.21132721936960100.00002222102


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type 2039 Plafond salarial Plafond salarial restant Exclus du plafond salarial 2040 204120422043204420452046Salaire annuel 9Salaire annuel 10Link
Artem GrushnikovNordiques (Phi)D222003-03-20No200 Lbs6 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
Artem GuryevNordiques (Phi)D222003-05-17No220 Lbs6 ft4NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
Calle RosenNordiques (Phi)D311994-02-02No186 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$No
UFA
Lien / Lien NHL
Cam DineenNordiques (Phi)D271998-06-19No189 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$No
UFA
Lien / Lien NHL
Coulson PitreNordiques (Phi)RW212004-12-13Yes185 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Lien / Lien NHL
Emmitt FinnieNordiques (Phi)C202005-06-27Yes191 Lbs6 ft1NoNoNo3Pro & Farm950,000$0$0$No950,000$950,000$
RFA
Lien / Lien NHL
Glenn GawdinNordiques (Phi)C281997-03-25No201 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$No
UFA
Lien / Lien NHL
Isaac PoulterNordiques (Phi)G242001-09-12No178 Lbs6 ft2NoNoNo1Pro & Farm800,000$0$0$No
RFA
Lien / Lien NHL
James StefanNordiques (Phi)RW222003-09-09Yes186 Lbs6 ft0NoNoNo2Pro & Farm950,000$0$0$No950,000$
RFA
Lien / Lien NHL
Jiri PateraNordiques (Phi)G261999-02-24No209 Lbs6 ft4NoNoNo1Pro & Farm700,000$0$0$No
RFA
Lien / Lien NHL
Jonny BrodzinskiNordiques (Phi)C321993-06-19No211 Lbs6 ft0NoNoNo1Pro & Farm800,000$0$0$No
UFA
Lien / Lien NHL
Josh FilmonNordiques (Phi)LW212004-03-18Yes160 Lbs6 ft1NoNoNo2Pro & Farm950,000$0$0$No950,000$
RFA
Lien / Lien NHL
Kai UchaczNordiques (Phi)LW222003-06-24Yes209 Lbs6 ft1NoNoNo2Pro & Farm950,000$0$0$No950,000$
RFA
Lien / Lien NHL
Liam O'BrienNordiques (Phi)C311994-07-29No215 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$No
UFA
Lien / Lien NHL
Mackenzie MacEachernNordiques (Phi)LW311994-03-09No192 Lbs6 ft3NoNoNo1Pro & Farm650,000$0$0$No
UFA
Lien / Lien NHL
Matyas SapovalivNordiques (Phi)LW212004-02-12Yes203 Lbs6 ft4NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Lien / Lien NHL
Montana OnyebuchiNordiques (Phi)D252000-03-08No220 Lbs6 ft3NoNoNo1Pro & Farm632,500$0$0$No
RFA
Lien / Lien NHL
Nick CicekNordiques (Phi)D252000-05-29No200 Lbs6 ft3NoNoNo1Pro & Farm632,500$0$0$No
RFA
Lien / Lien NHL
Nikita TolopiloNordiques (Phi)G252000-04-06Yes229 Lbs6 ft6NoNoNo3Pro & Farm950,000$0$0$No950,000$950,000$
UFA
Lien / Lien NHL
Oskar PetterssonNordiques (Phi)RW232002-04-04No209 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
Parker FordNordiques (Phi)RW252000-07-20Yes186 Lbs5 ft10NoNoNo3Pro & Farm950,000$0$0$No950,000$950,000$
UFA
Lien / Lien NHL
Patrick GilesNordiques (Phi)RW252000-01-03Yes218 Lbs6 ft5NoNoNo3Pro & Farm850,000$0$0$No850,000$850,000$
UFA
Lien / Lien NHL
Philip KempNordiques (Phi)D261999-02-12No212 Lbs6 ft3NoNoNo1Pro & Farm632,500$0$0$No
RFA
Lien / Lien NHL
Riley TufteNordiques (Phi)LW271998-04-10No230 Lbs6 ft6NoNoNo1Pro & Farm700,000$0$0$No
UFA
Lien / Lien NHL
Ross JohnstonNordiques (Phi)RW311994-02-18No232 Lbs6 ft5NoNoNo1Pro & Farm725,000$0$0$No
UFA
Lien / Lien NHL
Sheldon DriesNordiques (Phi)C311994-04-23No180 Lbs5 ft9NoNoNo1Pro & Farm650,000$0$0$No
UFA
Lien / Lien NHL
Stephen HallidayNordiques (Phi)C232002-07-02No212 Lbs6 ft4NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2725.44202 Lbs6 ft21.70806,389$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Riley TufteJonny BrodzinskiRoss Johnston40122
2Mackenzie MacEachernGlenn GawdinPatrick Giles30122
3Kai UchaczStephen HallidayParker Ford20122
4Riley TufteLiam O'BrienRoss Johnston10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calle RosenCam Dineen40122
2Montana OnyebuchiPhilip Kemp30122
3Nick CicekArtem Guryev20122
4Calle RosenCam Dineen10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Riley TufteJonny BrodzinskiRoss Johnston60122
2Mackenzie MacEachernGlenn GawdinPatrick Giles40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calle RosenCam Dineen60122
2Montana OnyebuchiPhilip Kemp40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jonny BrodzinskiRiley Tufte60122
2Glenn GawdinMackenzie MacEachern40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calle RosenCam Dineen60122
2Montana OnyebuchiPhilip Kemp40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jonny Brodzinski60122Calle RosenCam Dineen60122
2Glenn Gawdin40122Montana OnyebuchiPhilip Kemp40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jonny BrodzinskiRiley Tufte60122
2Glenn GawdinMackenzie MacEachern40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calle RosenCam Dineen60122
2Montana OnyebuchiPhilip Kemp40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Riley TufteJonny BrodzinskiRoss JohnstonCalle RosenCam Dineen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Riley TufteJonny BrodzinskiRoss JohnstonCalle RosenCam Dineen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mackenzie MacEachern, Stephen Halliday, Liam O'BrienMackenzie MacEachern, Stephen HallidayMackenzie MacEachern
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Philip Kemp, Nick Cicek, Artem GuryevPhilip KempPhilip Kemp, Nick Cicek
Tirs de pénalité
Jonny Brodzinski, Glenn Gawdin, Riley Tufte, Ross Johnston, Mackenzie MacEachern
Gardien
#1 : Nikita Tolopilo, #2 : Isaac Poulter


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
1BaronsOKC1010000045-11010000045-10000000000000.000461000191613020156177149138827333133.33%6183.33%031059552.10%35968752.26%18034652.02%516355537159274134
2Cyclones1010000013-21010000013-20000000000000.00012300191613017156177149121519215120.00%7185.71%031059552.10%35968752.26%18034652.02%516355537159274134
3Draveurs30300000916-720200000610-41010000036-300.000917260019161306815617714911052641859333.33%17382.35%031059552.10%35968752.26%18034652.02%516355537159274134
4HC30300000714-71010000013-220200000611-500.0007121900191613075156177149112636361041000.00%17476.47%031059552.10%35968752.26%18034652.02%516355537159274134
5Mighty Ducks1010000014-3000000000001010000014-300.0001230019161302515617714914712819500.00%40100.00%031059552.10%35968752.26%18034652.02%516355537159274134
6Oceanic1010000026-4000000000001010000026-400.0002460019161302115617714912910628600.00%30100.00%031059552.10%35968752.26%18034652.02%516355537159274134
7Remparts30200100813-52010010068-21010000025-310.167815230019161307715617714911103144781100.00%20480.00%031059552.10%35968752.26%18034652.02%516355537159274134
8Roadrunners30200100711-41010000035-22010010046-210.16771421001916130581561771491822335879222.22%15286.67%031059552.10%35968752.26%18034652.02%516355537159274134
9SilverKnights30200100612-61010000025-32010010047-310.16761117001916130531561771491812534818112.50%17476.47%131059552.10%35968752.26%18034652.02%516355537159274134
10Vikings3120000039-62020000029-71100000010120.3333580119161306915617714915719477018211.11%16287.50%031059552.10%35968752.26%18034652.02%516355537159274134
Total22118003004893-4511010001002548-231118002002345-2250.11448881360119161304831561771491696195297606841011.90%1222182.79%131059552.10%35968752.26%18034652.02%516355537159274134
_Since Last GM Reset22118003004893-4511010001002548-231118002002345-2250.11448881360119161304831561771491696195297606841011.90%1222182.79%131059552.10%35968752.26%18034652.02%516355537159274134
_Vs Conference21117003004687-4111010001002548-231017002002139-1850.11946841300119161304621561771491667185291578781012.82%1192182.35%131059552.10%35968752.26%18034652.02%516355537159274134
_Vs Division11115003002645-19508001001523-8617002001122-1150.22726487400191613023315617714913589914829836411.11%621182.26%131059552.10%35968752.26%18034652.02%516355537159274134

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalités Mises en échecButs en filet désertBlanchissages
225L5488813648369619529760601
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2211803004893
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1101001002548
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
111802002345
Derniers 10 matchs
WLOTWOTL SOWSOL
070300
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
841011.90%1222182.79%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
15617714911916130
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
31059552.10%35968752.26%18034652.02%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
516355537159274134


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
17Draveurs5Nordiques2BLSommaire du match
532Vikings6Nordiques0BLSommaire du match
746Nordiques1Mighty Ducks4ALSommaire du match
1065Nordiques1Vikings0AWSommaire du match
1276HC3Nordiques1BLSommaire du match
1488Nordiques4HC5ALSommaire du match
16100Nordiques3SilverKnights5ALSommaire du match
18115Remparts3Nordiques2BLSommaire du match
20125Nordiques2Remparts5ALSommaire du match
22144SilverKnights5Nordiques2BLSommaire du match
25168Roadrunners5Nordiques3BLSommaire du match
27178Nordiques2HC6ALSommaire du match
30198Vikings3Nordiques2BLSommaire du match
32210Nordiques3Draveurs6ALSommaire du match
34229Remparts5Nordiques4BLXSommaire du match
37246Nordiques1Roadrunners2ALXSommaire du match
38261Nordiques1SilverKnights2ALXSommaire du match
39270BaronsOKC5Nordiques4BLSommaire du match
42290Nordiques3Roadrunners4ALSommaire du match
44300Cyclones3Nordiques1BLSommaire du match
46313Nordiques2Oceanic6ALSommaire du match
48329Draveurs5Nordiques4BLSommaire du match
51351Magics-Nordiques-
53366Nordiques-Spiders-
55381Nordiques-Roadrunners-
56391IceHawks-Nordiques-
58408Nordiques-EvilSharks-
60420Cyclones-Nordiques-
63444Nordiques-Checkers-
64451Nordiques-Bandits-
66462SilverKnights-Nordiques-
69484HC-Nordiques-
71505Roadrunners-Nordiques-
73522Nordiques-IceBears-
76537Nordiques-SilverKnights-
77548Wolves-Nordiques-
80571Bandits-Nordiques-
83593Mighty Ducks-Nordiques-
85608Nordiques-Senators-
87623Nordiques-Thunder-
88634Iceberg-Nordiques-
91655IceBears-Nordiques-
94674Nordiques-Magics-
96688Nordiques-Eagles-
97697Roadrunners-Nordiques-
100719IceHogs-Nordiques-
102729Nordiques-Iceberg-
105750Vikings-Nordiques-
106758Nordiques-BigBadStars-
109774Nordiques-Wolves-
110788Remparts-Nordiques-
114813Senators-Nordiques-
118839Mighty Ducks-Nordiques-
119852Nordiques-Cyclones-
122870Nordiques-BaronsOKC-
123877Darkness-Nordiques-
125895Nordiques-Draveurs-
127908Mighty Ducks-Nordiques-
130934Magics-Nordiques-
131943Nordiques-Remparts-
133957Nordiques-Draveurs-
135971HC-Nordiques-
137985Nordiques-IceBears-
139999Checkers-Nordiques-
1421027SilverKnights-Nordiques-
1451049Nordiques-Mighty Ducks-
1471059Eagles-Nordiques-
1491075Nordiques-Sagueneens-
1511088National-Nordiques-
1531101Nordiques-Iceberg-
1551119Nordiques-WolfPack-
1561124Nordiques-Remparts-
1571133Draveurs-Nordiques-
1601156Griffins-Nordiques-
1621171Nordiques-Mighty Ducks-
1651187WolfPack-Nordiques-
1661197Nordiques-HC-
1681212Pantheres-Nordiques-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1711223Nordiques-Vikings-
1751247WolfPack-Nordiques-
1761253Nordiques-Vikings-
1771256Nordiques-HC-



Nordiques Leaders statistiques (saison régulière)
# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Alexander Kharitonov1529298481779-17996322132007270111.03%8282474216.186811017829545934371248.01%70.63624
2Martin Rucinsky365115143258-42298494601106210.83%113747920.492855831641231719851.41%10.69629
3Randy Robitaille3248193174-399128467766512.18%89555117.13141832751231511560.62%10.63718
4Oleg Petrov1617293165-84532630365011.08%127386123.9913233668123139237.35%20.85213
5Sheldon Souray19731104135-96164353934856.39%261466823.701630467402217620.00%00.5800

Nordiques 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
1Brian Boucher21810989200.9032.151319582247348700840.777130
2Mathieu Garon125645170.8992.83745234435134771445730.84351
3Jason Labarbera87502790.9012.1952230819119380300.76952
4Louis Domingue109415970.8763.2762696134227580230.73719
5Johan Backlund77383080.8873.24449719124321471092630.77135

Nordiques 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
201782303605425289324-3541141903311144163-1941161702114145161-1674289465754000671219425950731966868254285487420862806623.57%2275774.89%5933184750.51%784160248.94%646141845.56%164083618188931661815
201882334001341223248-2541162200120121139-1841171801221102109-77122336358603045947922670581832843245376586118001844926.63%2005174.50%6867162753.29%895175351.06%610122349.88%155173616638271740872
201982333204346250246441181800113133126741151404233117120-377250408658350568410223540622808902237782592017062134923.00%1724872.09%7981178554.96%866175549.34%595115051.74%160878516188141754891
2020822340010153222253-3141131507132118114441102503021104139-3567222357579430377694205104478007862295756111515622025225.74%1995572.36%4805158650.76%899180549.81%561109651.19%149766416698541808909
202182343003078147148-141201102044776314411419010347085-157414724238911004352421403044947445016084819031730387389.82%3333888.59%11143221451.63%1172233750.15%522106349.11%1996138219766121023519
202280283702157150171-21411121021337082-12391716000248089-961150260410112053464414400496468457171348175416853454111.88%3245383.64%1932207244.98%1035228045.39%497109845.26%1806122120346131025500
202381392901444221201204025900411115823341142001033106119-138422139361436081716421580703731710201153889618403906015.38%3525384.94%11483256157.91%1419254255.82%659119055.38%192913471989601996488
202482283803274192204-12411816021311029574110220114390109-198219233352516062695118970580626662203457981519133695514.91%3045382.57%11239242751.05%1268251050.52%575114650.17%1972136519816061029515
202582363301363210216-641211500032105109-441151801331105107-29221036757703078695619540655661618192255487218713816116.01%3675285.83%21302246852.76%1215232452.28%614120451.00%2030143219365931003497
202682303903037214235-2141191403014120105154111250002394130-367921438760107090586021840734729701208660396519923564412.36%3965785.61%31259251850.00%1226247549.54%601124448.31%1928133820396121009496
202782243905473221249-2841151701242116120-44192204231105129-247922138260323080705921140741677665198660076919283574211.76%3385683.43%21159251146.16%1120236947.28%560127943.78%1943134020126111044512
203082343604323245259-14412115021201361181841132102203109141-3286245456701150103726422650795738710228967386120253485616.09%3706482.70%51260249950.42%1275260848.89%656131250.00%189113242071603992480
20318240280345229926237412611001121581174141141703340141145-4102299558857020109988429070951924992221865283820633695815.72%3416381.52%21273286144.49%1151256944.80%598131945.34%185613162148603965454
2032823828024373042614341191201333162132304119160110414212913973045788822301409069299101036981934224466074820483836416.71%3226380.43%61238292842.28%1086255242.55%561133342.09%185213212167599963457
203382462403324340282584126902211173130434120150111316715215109340640980220117137813001094910141004262675175922133505916.86%3276081.65%41229286242.94%1158269442.98%577132843.45%187213412143575947451
2034823930052243372934441191701022162157541201304202175136399833764297913014394933081010721011961263772783020823556217.46%3445982.85%21364288547.28%1293273747.24%649139246.62%191213712098587961461
203582432605044342295474123110202317414331412015030211681521610834264298421014784102301401011968997254568280521823445515.99%3486282.18%21298282345.98%1221271944.91%599139243.03%187213462138583957457
203680234205523211249-3840122102113103122-1940112103410108127-196821136557604072735918770619615622205558693019923344914.67%4096185.09%21300233955.58%1296237254.64%647120953.52%202114141835566990507
203782264203434215266-5141141902213117124-74112230122198142-44722153765910588536813179360955360950230765587719953685414.67%3915685.68%41364233058.54%1452240460.40%710124357.12%2084145718795801010520
203878244401540201258-573913210131098130-3239112300230103128-25632013555563175675410178061460454733214854685618223364814.29%3465683.82%41367223561.16%1359231358.75%741119162.22%201714271734536960499
203922118003004893-4511010001002548-231118002002345-22548881360119161304831561771491696195297606841011.90%1222182.79%131059552.10%35968752.26%18034652.02%516355537159274134
Total Saison régulière165365271106958818248815013-1328273633230332840402529241911082628938803630414223522594-242164848818657135382685182165915931320456091379145061532813966447921316317545391416735107215.92%6532113882.58%65241064797350.25%235494740749.67%123582517649.09%378002512939494130362312211443
Séries éliminatoires
2019514000001123-122110000078-130300000415-1121118291001541530564646191416210614321.43%9544.44%06311057.27%7113154.20%427655.26%10153109489851
2021624000001014-43120000057-23120000057-2410182800023495025293711627581422827.14%19384.21%16612751.97%7914753.74%529057.78%14197152478140
20231055000002533-853200000912-3523000001621-51025477201089532909996103317871353095459.26%531571.70%115335543.10%15237640.43%6615941.51%2301582968513158
2025514000001217-52110000044030300000813-52122335000165106029393016442931391815.56%32487.50%07314351.05%7918642.47%307341.10%11076151416226
2031624000001922-3312000001112-131200000810-241934531006662360688263179568013032515.63%37878.38%08923637.71%7120334.98%4010040.00%140100176426832
20321156000003643-75320000012120624000002431-7103671107000141011342011910910941813313329435411.43%62887.10%015333845.27%18644541.80%7718042.78%2191503188112656
2033624000001519-43210000099030300000610-44152742000743185066605714651771481815.56%35780.00%26917738.98%5818231.87%258429.76%12184170466929
203421165000009266261091000005033171174000004233932921752670203327317690246263255708187257556841619.05%1002476.00%132775243.48%31073442.23%16036443.96%460323568150241113
20351376000004348-56510000029236725000001425-1114437611900016131439801331171483431051313215147.84%631674.60%115140437.38%16941141.12%7121033.81%2621813669415169
Total Séries éliminatoires83414200000263285-22392613000001361201644152900000127165-3882263489752230888383261308418418482582729102621453344112.28%4109078.05%61144264243.30%1175281541.74%563133642.14%1789122523116391032479

Nordiques Leaders statistiques (séries éliminatoires)
# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Randy Robitaille11358-427332810.71%123020.97112200001159.91%00.6900
2Josef Boumedienne11156-54128119.09%724822.6111250001010.00%00.4800
3Oleg Petrov5246-728151711.76%513026.08112300000044.44%00.9200
4Andrei Subbotin6426150191040.00%010617.79011310110057.14%01.1200
5Eriah Hayes6415361741233.33%010217.13000100011128.57%00.9700

Nordiques 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
1Brian Boucher62400.8792.2337600141160000.0000
2Jason Labarbera51310.8923.3030900171580000.0000
3Anton Khudobin11000.9690.8769001320000.0000
4Johan Backlund51400.8844.27309002219083010.0000
5Erik Ersberg10001.0000.001400060000.0000