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Connexion

Canucks
GP: 18 | W: 13 | L: 4 | OTL: 1 | P: 27
GF: 104 | GA: 62 | PP%: 21.74% | PK%: 79.17%
DG: Rob | Morale : 50 | Moyenne d’équipe : 60
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Centre de jeu
Canucks
13-4-1, 27pts
8
FINAL
4 Sound Tigers
3-15-0, 6pts
Team Stats
L1StreakL3
6-2-1Home Record1-8-0
7-2-0Away Record2-7-0
8-2-0Last 10 Games1-9-0
5.78Buts par match 2.22
3.44Buts contre par match 6.11
21.74%Pourcentage en avantage numérique4.55%
79.17%Pourcentage en désavantage numérique67.35%
Canucks
13-4-1, 27pts
4
FINAL
6 Wolf Pack
12-6-0, 24pts
Team Stats
L1StreakW4
6-2-1Home Record7-2-0
7-2-0Away Record5-4-0
8-2-0Last 10 Games6-4-0
5.78Buts par match 5.28
3.44Buts contre par match 4.39
21.74%Pourcentage en avantage numérique19.54%
79.17%Pourcentage en désavantage numérique77.17%
Meneurs d'équipe
Riley TufteButs
Riley Tufte
16
Kale ClaguePasses
Kale Clague
19
Mathieu OlivierPoints
Mathieu Olivier
29
Plus/Moins
Alex Steeves
22
Victoires
Jet Greaves
8
Pourcentage d’arrêts
Jet Greaves
0.843

Statistiques d’équipe
Buts pour
104
5.78 GFG
Tirs pour
588
32.67 Avg
Pourcentage en avantage numérique
21.7%
15 GF
Début de zone offensive
40.5%
Buts contre
62
3.44 GAA
Tirs contre
375
20.83 Avg
Pourcentage en désavantage numérique
79.2%%
15 GA
Début de la zone défensive
32.1%
Informations de l'équipe

Directeur généralRob
EntraîneurJohn Gruden
DivisionNorth
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro23
Équipe Mineure20
Limite contact 43 / 50
Espoirs47


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
1Joel FarabeeXX100.0073648584627590733774716925646474507002323,500,000$
2Brett SeneyXX100.006561737761788167806365626251516750640271750,000$
3Michael PezzettaXX100.009999677082547858376160677557576550630251750,000$
4Mathieu OlivierX100.009299676481617857296258752557586550630261750,000$
5Parker KellyXX100.009680816270578259385555842556566550630241750,000$
6Riley Tufte (R)X100.007885616885768160505362655945456450620252750,000$
7Jakub Lauko (R)XX100.008474856767527355266170742546466950620233787,500$
8Alex Steeves (R)XXX100.007367866667778163506260635744446550620231834,167$
9James Hamblin (R)XX100.007062906762757960755858615544446250600242800,000$
10Hunter McKown (R)XXX100.0075438565686149768063556425454562506002131,366,667$
11Garrett Pilon (R)XX100.006962866862717459745658605544446250590253775,000$
12Brian Pinho (R)X100.007264916664606060755857625444456150590283775,000$
13Jacob LarssonX100.007372757772717750254041653964645550630261750,000$
14Kale ClagueX100.006942797670676259255047642555555850620253775,000$
15Matt Kiersted (R)X100.006942907167538758255148672545455950610251765,000$
16Declan Chisholm (R)X100.007569886769707455255541623944445650600233825,000$
17Ben GleasonX100.007169776369687156255246614444445750590251750,000$
Rayé
1Alexander TrueX100.009347916778517755535055572557576050590261775,000$
2Kristian Reichel (R)X100.007570866770677056505354635145456050580251775,000$
3C.J. Suess (R)X100.007169746669626458505457615444446050580291750,000$
4Nathan Smith (R)X100.0070658270655758577152576054444460505702421,350,000$
5Tanner KaspickX100.007575746575515347594346604444445250530253775,000$
MOYENNE D’ÉQUIPE100.00776781697064735948565665434949625061
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
1Jet Greaves (R)100.00495063654951505551513044445150520221525,000$
Rayé
MOYENNE D’ÉQUIPE100.0049506365495150555151304444515052
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Gruden70766469757075USA502500,000$


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
1Mathieu OlivierCanucks (VAN)RW181514297140532873215420.55%631917.735499470003141066.67%1200021.8200000203
2Michael PezzettaCanucks (VAN)C/LW1811162714220403457193419.30%1226014.48101626000031059.38%25600002.0700000310
3Brett SeneyCanucks (VAN)C/LW171511261240134285245817.65%136921.751457520002511166.84%19000011.4100000230
4Alex SteevesCanucks (VAN)C/LW/RW18817252280162050123716.00%222112.3200002000001141.67%1200002.2600000003
5Riley TufteCanucks (VAN)LW181682410120201674193821.62%524413.60145429000011169.23%1300011.9600000122
6Kale ClagueCanucks (VAN)D18319221514026162571312.00%1237420.803251451000048000.00%000001.1800000012
7Parker KellyCanucks (VAN)C/RW18713209235582865214710.77%533518.660225560002291058.33%3600001.1900001110
8Jakub LaukoCanucks (VAN)C/LW10125171610015114152029.27%115015.07011030002164153.51%11400002.2600000111
9Jacob LarssonCanucks (VAN)D18412161314064172271418.18%1539822.13112954000048100.00%000000.8000000012
10Hunter McKownCanucks (VAN)C/LW/RW1021113164057256218.00%113113.1100000000000057.14%700001.9800000000
11James HamblinCanucks (VAN)C/LW10246126018550340.00%416316.3900000000000075.00%1600000.7300000110
12Declan ChisholmCanucks (VAN)D10156118017584412.50%720720.79123530000034000.00%000000.5800000000
13Matt KierstedCanucks (VAN)D100669001464270.00%620020.09033128000034000.00%000000.6000000000
14Ben GleasonCanucks (VAN)D10145910021635633.33%717017.09000110000011000.00%000000.5900000100
15Joel FarabeeCanucks (VAN)LW/RW11231000330233.33%12323.6311228000030027.27%1100002.5400000100
16Brian PinhoCanucks (VAN)C10202-1202376728.57%1454.5010119000030084.00%2500000.8900000000
17Nathan SmithCanucks (VAN)C1000000000000.00%011.880000100000000.00%000000.00%00000000
Statistiques d’équipe totales ou en moyenne215100147247175151538224754715836518.28%86362016.8415243964414000930111461.13%69200041.3600001131113
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
1Jet GreavesCanucks (VAN)108200.8432.5558800251590000.00%0100000
Statistiques d’équipe totales ou en moyenne108200.8432.5558800251590000100000


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 Salaire actuel Salaire restantPlafond 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 10Link
Alex SteevesCanucks (VAN)C/LW/RW231999-12-10Yes185 Lbs5 ft11NoNoNo1Pro & Farm834,167$834,167$0$0$NoLien
Alexander TrueCanucks (VAN)C261997-07-16No200 Lbs6 ft5NoNoNo1Pro & Farm775,000$775,000$0$0$NoLien / Lien NHL
Ben GleasonCanucks (VAN)D251998-03-25No185 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Brett SeneyCanucks (VAN)C/LW271996-02-27No174 Lbs5 ft9NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Brian PinhoCanucks (VAN)C281995-05-11Yes172 Lbs6 ft0NoNoNo3Pro & Farm775,000$775,000$0$0$No775,000$775,000$Lien / Lien NHL
C.J. SuessCanucks (VAN)LW291994-03-16Yes190 Lbs5 ft11NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Declan ChisholmCanucks (VAN)D232000-01-12Yes185 Lbs6 ft1NoNoNo3Pro & Farm825,000$825,000$0$0$No825,000$825,000$Lien
Garrett PilonCanucks (VAN)C/RW251998-04-13Yes174 Lbs5 ft10NoNoNo3Pro & Farm775,000$775,000$0$0$No775,000$775,000$Lien / Lien NHL
Hunter McKownCanucks (VAN)C/LW/RW212002-08-18Yes183 Lbs6 ft1YesNoNo3Pro & Farm1,366,667$1,366,667$0$0$No1,366,667$1,366,667$Lien
Jacob LarssonCanucks (VAN)D261997-04-29No190 Lbs6 ft2NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Jakub LaukoCanucks (VAN)C/LW232000-03-28Yes179 Lbs6 ft0NoNoNo3Pro & Farm787,500$787,500$0$0$No787,500$787,500$Lien / Lien NHL
James HamblinCanucks (VAN)C/LW241999-04-27Yes175 Lbs5 ft9YesNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien
Jet GreavesCanucks (VAN)G222001-03-30Yes180 Lbs6 ft0YesNoNo1Pro & Farm525,000$525,000$0$0$NoLien
Joel FarabeeCanucks (VAN)LW/RW232000-02-25No164 Lbs6 ft0NoNoNo2Pro & Farm3,500,000$3,500,000$0$0$No3,500,000$Lien / Lien NHL
Kale ClagueCanucks (VAN)D251998-06-05No192 Lbs6 ft0NoNoNo3Pro & Farm775,000$775,000$0$0$No775,000$775,000$Lien / Lien NHL
Kristian ReichelCanucks (VAN)C251998-06-11Yes188 Lbs6 ft2NoNoNo1Pro & Farm775,000$775,000$0$0$NoLien / Lien NHL
Mathieu OlivierCanucks (VAN)RW261997-02-11No210 Lbs6 ft2NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Matt KierstedCanucks (VAN)D251998-04-14Yes181 Lbs6 ft0NoNoNo1Pro & Farm765,000$765,000$0$0$NoLien
Michael PezzettaCanucks (VAN)C/LW251998-03-13No216 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Nathan SmithCanucks (VAN)C241998-10-18Yes177 Lbs6 ft0NoNoNo2Pro & Farm1,350,000$1,350,000$0$0$No1,350,000$Lien
Parker KellyCanucks (VAN)C/RW241999-05-14No188 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Riley TufteCanucks (VAN)LW251998-04-10Yes220 Lbs6 ft6NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Tanner KaspickCanucks (VAN)C251998-01-28No205 Lbs6 ft1NoNoNo3Pro & Farm775,000$775,000$0$0$No775,000$775,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2324.74188 Lbs6 ft11.78930,580$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brett SeneyParker Kelly40122
2Riley TufteMichael PezzettaMathieu Olivier30122
3Alex SteevesJakub LaukoHunter McKown20122
4James HamblinBrett Seney10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob LarssonKale Clague40122
2Matt KierstedDeclan Chisholm30122
3Ben GleasonJames Hamblin20122
4Jacob LarssonKale Clague10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brett SeneyParker Kelly60122
2Riley TufteMichael PezzettaMathieu Olivier40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob LarssonKale Clague60122
2Matt KierstedDeclan Chisholm40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brett Seney60122
2Parker KellyMathieu Olivier40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob LarssonKale Clague60122
2Matt KierstedDeclan Chisholm40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Jacob LarssonKale Clague60122
2Brett Seney40122Matt KierstedDeclan Chisholm40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brett Seney60122
2Parker KellyMathieu Olivier40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob LarssonKale Clague60122
2Matt KierstedDeclan Chisholm40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett SeneyParker KellyJacob LarssonKale Clague
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett SeneyParker KellyJacob LarssonKale Clague
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brian Pinho, , Jakub LaukoBrian Pinho, Jakub Lauko
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ben Gleason, Matt Kiersted, Declan ChisholmBen GleasonMatt Kiersted, Declan Chisholm
Tirs de pénalité
, Brett Seney, Parker Kelly, Mathieu Olivier, Michael Pezzetta
Gardien
#1 : Jet Greaves, #2 :
Lignes d’attaque personnalisées en prolongation
, Brett Seney, Parker Kelly, Mathieu Olivier, Michael Pezzetta, Riley Tufte, Riley Tufte, Jakub Lauko, Alex Steeves, Hunter McKown, James Hamblin
Lignes de défense personnalisées en prolongation
Jacob Larsson, Kale Clague, Matt Kiersted, Declan Chisholm, Ben Gleason


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
1Admirals11000000624110000006240000000000021.0006111700422931222197199188410381311436.36%40100.00%025847953.86%18438048.42%15332347.37%547422336102201113
2Bears2100100017891000100065111000000113841.000172643004229312107197199188462211867000.00%8187.50%025847953.86%18438048.42%15332347.37%547422336102201113
3Bruins2020000038-51010000012-11010000026-400.000358004229312351971991884361220419111.11%100100.00%025847953.86%18438048.42%15332347.37%547422336102201113
4Checkers220000001147110000007161100000043141.00011193000422931269197199188429131438300.00%6183.33%025847953.86%18438048.42%15332347.37%547422336102201113
5Griffins11000000954000000000001100000095421.000913220042293123619719918842342164125.00%110.00%025847953.86%18438048.42%15332347.37%547422336102201113
6Penguins220000001055110000004131100000064241.000101424004229312801971991884287256800.00%000.00%025847953.86%18438048.42%15332347.37%547422336102201113
7Phantoms210010001468110000008171000100065141.0001424380042293127019719918844610304810110.00%12558.33%025847953.86%18438048.42%15332347.37%547422336102201113
8Sound Tigers220000002051511000000121111100000084441.00020345400422931280197199188422613465480.00%40100.00%025847953.86%18438048.42%15332347.37%547422336102201113
9Thunderbirds2110000046-21010000014-31100000032120.5004812004229312381971991884491028404125.00%14285.71%025847953.86%18438048.42%15332347.37%547422336102201113
10Wolf Pack201001001013-31000010067-11010000046-210.2501014240042293125119719918847013264315320.00%13561.54%025847953.86%18438048.42%15332347.37%547422336102201113
Total181140210010462429520110051242796201000533815270.750104168272004229312588197199188437599161408691521.74%721579.17%025847953.86%18438048.42%15332347.37%547422336102201113
_Since Last GM Reset181140210010462429520110051242796201000533815270.750104168272004229312588197199188437599161408691521.74%721579.17%025847953.86%18438048.42%15332347.37%547422336102201113
_Vs Conference17104021009860388420110045222396201000533815250.73598157255004229312566197199188436596153395581118.97%681577.94%025847953.86%18438048.42%15332347.37%547422336102201113
_Vs Division510000001619-32000000026-4310000001413120.200162642004229312109197199188410826509717317.65%25388.00%025847953.86%18438048.42%15332347.37%547422336102201113

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1827L11041682725883759916140800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
18114210010462
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
95211005124
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
96210005338
Derniers 10 matchs
WLOTWOTL SOWSOL
721000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
691521.74%721579.17%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
19719918844229312
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
25847953.86%18438048.42%15332347.37%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
547422336102201113


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
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1 - 2023-09-2914Thunderbirds4Canucks1BLSommaire du match
2 - 2023-09-3029Bears5Canucks6BWXSommaire du match
3 - 2023-10-0147Canucks11Bears3AWSommaire du match
4 - 2023-10-0251Canucks2Bruins6ALSommaire du match
6 - 2023-10-0478Canucks9Griffins5AWSommaire du match
7 - 2023-10-0583Canucks6Penguins4AWSommaire du match
8 - 2023-10-0692Wolf Pack7Canucks6BLXSommaire du match
10 - 2023-10-08117Canucks4Checkers3AWSommaire du match
11 - 2023-10-09127Admirals2Canucks6BWSommaire du match
12 - 2023-10-10146Phantoms1Canucks8BWSommaire du match
14 - 2023-10-12174Sound Tigers1Canucks12BWSommaire du match
15 - 2023-10-13194Checkers1Canucks7BWSommaire du match
17 - 2023-10-15208Canucks6Phantoms5AWXSommaire du match
18 - 2023-10-16218Canucks3Thunderbirds2AWSommaire du match
19 - 2023-10-17240Penguins1Canucks4BWSommaire du match
22 - 2023-10-20263Bruins2Canucks1BLSommaire du match
23 - 2023-10-21270Canucks8Sound Tigers4AWSommaire du match
24 - 2023-10-22285Canucks4Wolf Pack6ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets1000
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,140,334$ 2,139,667$ 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$




Canucks 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

Canucks 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

Canucks 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

Canucks 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

Canucks 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