Vancouver Canucks
41-29-5, 87pts · 8th in Ouest
STATISTIQUE
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 GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPM PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Nathan MacKinnonCanucksCanucksC7535528718240833308626110.61%921.261011212062021113052.43%176600011.0901
2Robert ThomasCanucksCanucksC/LW/RW7032467818275502587117812.40%1821.43412161820001793255.21%48900011.0411
3Chris KreiderCanucksCanucksLW7531457622420125313822249.90%1218.4791221191000597336.52%11500001.1000
4Joel Eriksson EkCanucksCanucksC/LW/RW733129601656101872457520112.65%2017.5447111620111663253.74%150900000.9400
5Jason RobertsonCanucksCanucksLW7518325096053208601498.65%516.8931316205000365126.53%14700000.7904
6Pavel BuchnevichCanucksCanucksLW/RW5614253936031201631546.97%1318.626612153000765129.07%8600000.7502
7Mattias EkholmCanucksCanucksD755303505751588829605.68%9620.93279206000189200.00%000000.4500
8Filip HronekCanucksCanucksD75628340460847429448.11%6219.52381120901194010.00%000000.4600
9Hampus LindholmCanucksCanucksD75526311866101099746825.15%10623.75246200011187100.00%000000.3500
10Jamie OleksiakCanucksCanucksD757212818852516711525626.09%12523.69145198000175100.00%000100.3200
11Ross ColtonCanucksCanucksC/LW749152443759015336975.88%814.810228100042053.85%89700000.4413
12Braden SchneiderCanucksCanucksD75419230260694118239.76%9817.410005000208100.00%000000.3500
13Luke KuninCanucksCanucksC/RW7191019270208611535627.83%1110.861128000452046.81%9400000.4900
14Kevin StenlundCanucksCanucksC/RW754711-15260599331704.30%1812.8700030001872153.38%118400000.2300
15Dmitry KulikovCanucksCanucksD743710-345511328161910.71%7214.5300070002010.00%000000.1900
16Philip TomasinoCanucksCanucksC61641014047124658.45%59.83000000001233.33%5100000.3300
17Matias Maccelli (R)CanucksCanucksLW33729-640355192912.73%412.202024100000036.67%3000000.4500
18Taylor RaddyshCanucksCanucksC/RW75358-15140449226723.26%210.35000000021028.57%5600000.2100
19Michael EyssimontCanucksRampage (VAN)C/LW42112-92210483511312.86%59.89000300000034.62%2600000.1000
20Jonas SiegenthalerCanucksCanucksD40011-10041110.00%21.28000000013000.00%000000.3900
21Jacob Bernard-DockerCanucksCanucksD600000000000.00%10.0800000000000.00%000000.0000
Moyenne d'équipe135023040563580663951567261378318848.80%69216.39478713420692351741391451.55%645000120.57211
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
1Jacob MarkstromCanucksCanucks56302240.9112.7833484415517420500.84613560625
2Filip GustavssonCanucksRampage (VAN)1911710.9082.83114521545840000.00001922001
3Sebastian CossaCanucksCanucks10000.9441.6736001180000.0000053000
Moyenne d'équipe 764129 5 0.9102.7845296521023440500.846137575626
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
# VS Équipe 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 GF% SH% SV% PDO PDOBRK
1SabresSabres1100000062421.000610160031203414614032122224250.00%10100.00%01419272552.07%1275251350.74%631117653.66%191328812566.7%17.6%93.8%111.4LUCKY
2BruinsBruins2200000082641.00081523002510662524170431512406233.33%50100.00%01419272552.07%1275251350.74%631117653.66%53394014251375.0%12.1%95.3%107.5LUCKY
3RangersRangers1100000021121.0002460011003612101402459215120.00%20100.00%01419272552.07%1275251350.74%631117653.66%251822612650.0%5.6%95.8%101.4DULL
4PredatorsPredators40300100917-810.1259152400513012237345101515059939111.11%14285.71%01419272552.07%1275251350.74%631117653.66%90619630542534.8%7.4%88.7%96.1Unlucky
5Red WingsRed Wings1010000035-200.00036900201040131611033121020300.00%5260.00%01419272552.07%1275251350.74%631117653.66%231522713650.0%7.5%84.8%92.3Unlucky
6JetsJets422000001112-140.50011182901353015348574801133032941400.00%15473.33%01419272552.07%1275251350.74%631117653.66%95669230512557.9%7.2%89.4%96.6Unlucky
7HurricanesHurricanes1100000032121.0003470001203313101002368243133.33%30100.00%01419272552.07%1275251350.74%631117653.66%211425812550.0%9.1%91.3%100.4LUCKY
8CapitalsCapitals1100000032121.0003580012005018211101920238112.50%000.00%01419272552.07%1275251350.74%631117653.66%292116713750.0%6.0%89.5%95.5Unlucky
9CanadiensCanadiens2100100075241.00071320002221773425171551616427228.57%7185.71%01419272552.07%1275251350.74%631117653.66%57413813241355.6%9.1%90.9%100.0FUN
10LightningLightning1100000061521.000610160051004316141303162205240.00%10100.00%01419272552.07%1275251350.74%631117653.66%221625711580.0%14.0%96.8%110.7LUCKY
11FlyersFlyers1010000024-200.000246000110387191204378138225.00%40100.00%01419272552.07%1275251350.74%631117653.66%25182271160.0%5.3%90.7%96.0Unlucky
12SharksSharks522010001512360.6001527420035611654758591159435912314321.43%23482.61%01419272552.07%1275251350.74%631117653.66%1268811335623260.0%9.1%92.5%101.5LUCKY
13Black HawksBlack Hawks421000011414050.625142539005360130394149414428247810330.00%12191.67%01419272552.07%1275251350.74%631117653.66%101719028522645.8%10.8%90.3%101.0FUN
14AvalancheAvalanche3210000077040.667712190141208729273109836215912433.33%80100.00%01419272552.07%1275251350.74%631117653.66%68477421371930.0%8.0%92.9%100.9DULL
15DucksDucks502011101415-150.500142539006512162505554519752469917317.65%22386.36%01419272552.07%1275251350.74%631117653.66%1268711935643247.8%8.6%92.4%101.0DULL
16OilersOilers42100100119250.625112031016140148524548312536746111327.27%20480.00%01419272552.07%1275251350.74%631117653.66%95669929482361.5%7.4%92.8%100.2DULL
17SenateursSenateurs1010000014-300.0001230010004313121803013622200.00%3166.67%01419272552.07%1275251350.74%631117653.66%251921712525.0%2.3%86.7%89.0Unlucky
18WildWild42100001139450.62513223500553017754616151082429831119.09%110100.00%11419272552.07%1275251350.74%631117653.66%105748829512657.1%7.3%91.7%99.0DULL
19BluesBlues321000001110140.667111829005330105393135087242072600.00%9366.67%01419272552.07%1275251350.74%631117653.66%69477121391961.1%10.5%88.5%99.0FUN
20KingsKings514000001620-420.20016294500655014946535001856069103800.00%22672.73%01419272552.07%1275251350.74%631117653.66%1117512435643353.3%10.7%89.2%99.9FUN
21Golden KnightsGolden Knights54100000169780.8001631470166401906275530135453710720315.00%15286.67%01419272552.07%1275251350.74%631117653.66%1258811236623265.0%8.4%93.3%101.8DULL
22StarsStars422000001311240.500131932004270141393765012835229110440.00%11281.82%01419272552.07%1275251350.74%631117653.66%97679029522550.0%9.2%91.4%100.6LUCKY
23FlamesFlames3020001078-120.333710170033011173634427103281848800.00%80100.00%01419272552.07%1275251350.74%631117653.66%76546921391946.7%6.0%92.2%98.2DULL
24DevilsDevils1100000064221.000611170031204071518024148196233.33%30100.00%01419272552.07%1275251350.74%631117653.66%261820713750.0%15.0%83.3%98.3FUN
25PanthersPanthers1000100043121.00047110011113241214222124166233.33%2150.00%01419272552.07%1275251350.74%631117653.66%241622713750.0%12.5%86.4%98.9FUN
26IslandersIslanders312000001113-220.333111930006410963029370813443727228.57%12558.33%11419272552.07%1275251350.74%631117653.66%73526918361752.9%11.5%84.0%95.4FUN
27PenguinsPenguins1100000010121.00012301100035812150285626800.00%30100.00%01419272552.07%1275251350.74%631117653.66%2315247126100.0%2.9%100.0%102.9DULL
28KrakenKraken421010001211160.750122234003351104323437112342257614321.43%10370.00%01419272552.07%1275251350.74%631117653.66%98699429482452.9%11.5%91.1%102.6Unlucky
_Vs Division3111130322091847340.548911642550233282551035325354343171027306328617921516.30%1202281.67%01419272552.07%1275251350.74%631117653.66%75953173222338919755.1%8.8%91.8%100.6DULL
_Vs Conference572324033221691645610.535169293462046448525195061064268326185653353511871642817.07%2003483.00%11419272552.07%1275251350.74%631117653.66%1387968133541372836452.0%8.7%91.2%99.8DULL
_Since Last GM Reset7534290532223221220870.580232405637059268657261382486790429234469266915672424719.42%2514482.47%21419272552.07%1275251350.74%631117653.66%18401290173554295648052.4%8.9%91.0%99.8Unlucky
Total7534290532223221220870.580232405637059268657261382486790429234469266915672424719.42%2514482.47%21419272552.07%1275251350.74%631117653.66%18401290173554295648052.4%8.9%91.0%99.8Unlucky

Puck Time
Offensive Zone 24
Neutral Zone 12
Defensive Zone 23
Puck Time
Offensive Zone Start 2725
Neutral Zone Start 1176
Defensive Zone Start 2513
Puck Time
With Puck 30
Without Puck 29
Faceoffs
Faceoffs Won 3325
Faceoffs Lost 3089
Team Average Shots after League Average Shots after
1st Period 11.09.57
2nd Period 22.520.31
3rd Period 34.630.68
Overtime 35.031.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.20.64
2nd Period 2.11.65
3rd Period 3.02.67
Overtime 3.12.83
Even Strenght Goal 183
PP Goal 47
PK Goal 2
Empty Net Goal 0
Home Away
Win 2714
Lost 1217
Overtime Lost 05
PP Attempt 242
PP Goal 47
PK Attempt 251
PK Goal Against 44
Home
Shots For 34.8
Shots Against 31.3
Goals For 3.1
Goals Against 2.8
Hits 20.9
Shots Blocked 9.2
Pim 8.9