Vancouver Canucks
34-20-7, 75pts · 6th in Ouest
STATISTIQUE
Astuces sur les Filtres
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
1Robert Thomas Canucks C/LW/RW6124376110100272265914110.62%819.0661218154000658156.11%149700001.0514
2Nathan MacKinnon Canucks C6119335231201042208581539.13%618.6604484000453155.62%111300000.9100
3Jason Robertson Canucks LW6125255025120372094613811.96%919.37538147000913330.73%20500020.8504
4Pavel Buchnevich Canucks LW/RW61202545111610361653915012.12%617.703710121000323134.78%6900010.8300
5Chris Kreider Canucks LW612122437455129211561569.95%1219.4396151590001114232.53%8300000.7300
6Thomas Chabot Canucks D61536417260789735735.15%10624.23281015700014700-%000000.5500
7Joel Eriksson Ek Canucks C/LW/RW6022194128260129135328816.30%516.3210150000183156.52%29900200.8400
8Jamie Oleksiak Canucks D617212823601067123659.86%8121.0345914700013620-%000000.4400
9Hampus Lindholm Canucks D49523283120488731515.75%7320.68189920009301-%000000.5500
10Mattias Ekholm Canucks D618172573208667193611.94%7620.5344815500015030-%000000.4000
11Joel Edmundson Canucks D61318217320744716406.38%5516.80033240002200-%000000.4100
12Braden Schneider Canucks D612182054401084114354.88%7217.55000140006900-%000000.3700
13Luke Kunin Canucks C/RW6181119-2241514810129737.92%614.37000300042043.89%110500000.4300
14Ross Colton Canucks C/LW6110717-172609711726868.55%416.001237000000039.46%18500000.3524
15Calle Jarnkrok Canucks C/LW/RW614711-1600247724735.19%714.2800010001200134.25%7300000.2500
16Kevin Stenlund Canucks C/RW61268-1100305619483.57%49.41011960001540063.48%64900000.2811
17Filip Hronek Rampage (VAN) D131670602015326.67%918.11011310001901-%000000.5900
18Taylor Raddysh Canucks C/RW61156-780142814293.57%56.68000000000034.62%2600000.2900
19Philip Tomasino Canucks C61303-360192171614.29%14.850004500001030.77%2600000.2000
Moyenne d'équipe109819033652677408301252197955014539.60%54516.47366410015610001285321251.67%533000230.58413
Astuces sur les Filtres
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
1Filip Gustavsson Canucks 50291560.9182.5330102312715490000.667124912621
2Jacob Markstrom Canucks 125510.9083.046902035379000-01249020
Moyenne d'équipe62342070.9162.6337014316219280000.667126161641
Astuces sur les Filtres
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
1BruinsBruins21100000792712190040305826161607024204840103011172158110321015349940.5000.00%70.00%51.76%52.50%53.72%50364313251253.8%12.1%87.1%99.2FUN
2RangersRangers10100000120123000010268135033116161031011172158110321015349940.0000.00%66.67%51.76%52.50%53.72%241722712650.0%3.8%93.9%97.8DULL
3PredatorsPredators42100001141451425390037411343051506129402894154143011172158110321015349940.62526.67%78.57%51.76%52.50%53.72%96659629512647.6%10.4%89.1%99.6FUN
4Red WingsRed Wings1100000042246100012103817111002862215110011172158110321015349941.00020.00%100.00%51.76%52.50%53.72%272019613760.0%10.5%92.9%103.4LUCKY
5JetsJets411010011513515304500527113047413961194125707291011172158110321015349940.62528.57%88.89%51.76%52.50%53.72%97679429532652.0%11.5%89.1%100.6FUN
6HurricanesHurricanes10100000120123001000331081502164174021011172158110321015349940.0000.00%50.00%51.76%52.50%53.72%251822712550.0%3.0%90.5%93.5Unlucky
7CapitalsCapitals110000004124812002020391561802046205230011172158110321015349941.00040.00%100.00%51.76%52.50%53.72%241723611566.7%10.3%95.0%105.3LUCKY
8CanadiensCanadiens21001000104410162600522188353319151148477141011172158110321015349941.00014.29%75.00%51.76%52.50%53.72%55393914261375.0%11.4%92.2%103.5LUCKY
9LightningLightning100001002312350001103291391431414232071011172158110321015349940.5000.00%85.71%51.76%52.50%53.72%231426915750.0%6.3%93.0%99.3DULL
10FlyersFlyers100000103223470010123411111064276153121011172158110321015349941.00033.33%50.00%51.76%52.50%53.72%231627813666.7%8.8%95.2%104.1DULL
11SharksSharks5310001023118233760018104116253654431464334106174152011172158110321015349940.80023.53%86.67%51.76%52.50%53.72%1339310636653467.9%14.2%92.5%106.7LUCKY
12Black HawksBlack Hawks32000100109510172700433010636373129018146412271011172158110321015349940.83316.67%85.71%51.76%52.50%53.72%81576322402150.0%9.4%90.0%99.4FUN
13AvalancheAvalanche220000007147142101502060261519044138389230011172158110321015349941.00022.22%100.00%51.76%52.50%53.72%47324515261383.3%11.7%97.7%109.4LUCKY
14DucksDucks523000001312413233600373015948654601725141113193160011172158110321015349940.40015.79%100.00%51.76%52.50%53.72%1198311734623245.5%8.2%93.0%101.2DULL
15OilersOilers202000004904711002110631726200711810505151011172158110321015349940.00020.00%80.00%51.76%52.50%53.72%53383912261327.3%6.3%87.3%93.7Unlucky
16SenateursSenateurs101000001301230001002296703486212130011172158110321015349940.00050.00%100.00%51.76%52.50%53.72%18122971250.0%4.5%91.2%95.7DULL
17WildWild42101000966915240016111283452375113304692114151011172158110321015349940.75036.36%93.33%51.76%52.50%53.72%92629630542650.0%7.0%94.7%101.7DULL
18BluesBlues311001008103813210033208219273511093416596080011172158110321015349940.5000.00%100.00%51.76%52.50%53.72%69467222412044.4%9.8%90.8%100.6FUN
19KingsKings431000001396132437005350132414843011926297693121011172158110321015349940.75033.33%91.67%51.76%52.50%53.72%97679030512655.6%9.8%92.4%102.3LUCKY
20Golden KnightsGolden Knights41201000181741830480056611264031523140342489124121011172158110321015349940.50033.33%91.67%51.76%52.50%53.72%96679328532646.7%14.3%87.9%102.1FUN
21StarsStars21100000342358003000631926180601912302061011172158110321015349940.5000.00%83.33%51.76%52.50%53.72%55404012241250.0%4.8%93.3%98.1DULL
22FlamesFlames1100000052259140000502974180331010150050011172158110321015349941.0000.00%100.00%51.76%52.50%53.72%201425713671.4%17.2%93.9%111.2LUCKY
23DevilsDevils101000001301230001003813817029136194031011172158110321015349940.0000.00%66.67%51.76%52.50%53.72%241622712633.3%2.6%89.7%92.3Unlucky
24PanthersPanthers1000010023124600011035151010034112210010011172158110321015349940.5000.00%100.00%51.76%52.50%53.72%251722613740.0%5.7%91.2%96.9DULL
25IslandersIslanders2100010064361117001140752814321641512399061011172158110321015349940.7500.00%83.33%51.76%52.50%53.72%53364415261466.7%8.0%93.8%101.8DULL
26PenguinsPenguins101000001601230001002231360511111154131011172158110321015349940.00025.00%66.67%51.76%52.50%53.72%20132771150.0%4.5%88.2%92.8Unlucky
27KrakenKraken2200000073471320012320652016290632412345060011172158110321015349941.0000.00%100.00%51.76%52.50%53.72%45304814261270.0%10.8%95.2%106.0LUCKY
_Vs Division23129010108363288314322602253026273622625525267442061604836715715011172158110321015349940.60922.39%92.96%51.76%52.50%53.72%56639552116430015154.0%11.3%91.5%102.8LUCKY
_Vs Conference452314032121491205814926241103495145514394375044812614084013099301292913312011172158110321015349940.64422.48%90.98%51.76%52.50%53.72%1107768102932559329952.6%10.4%91.5%101.8LUCKY
_Since Last GM Reset6128200452219216475192336528036461618197963666665535192854541212521793618123011172158110321015349940.61520.11%87.29%51.76%52.50%53.72%15061047140044379940452.5%9.7%91.5%101.2LUCKY
Total6128200452219216475192336528036461618197963666665535192854541212521793618123011172158110321015349940.61520.11%87.29%51.76%52.50%53.72%15061047140044379940452.5%9.7%91.5%101.2LUCKY

Puck Time
Offensive Zone 24
Neutral Zone 13
Defensive Zone 22
Puck Time
Offensive Zone Start 2158
Neutral Zone Start 994
Defensive Zone Start 2101
Puck Time
With Puck 31
Without Puck 29
Faceoffs
Faceoffs Won 2754
Faceoffs Lost 2499
Team Average Shots after League Average Shots after
1st Period 10.49.57
2nd Period 21.320.31
3rd Period 32.130.68
Overtime 32.731.4
Goals in Team Average Goals after League Average Goals after
1st Period10.49.57
2nd Period21.320.31
3rd Period32.130.68
Overtime32.731.4
Even Strength Goal156
PP Goal36
PK Goal0
Empty Net Goal0
Home Away
Win 2212
Lost 1010
Overtime Lost 34
Win2212
Lost1010
Overtime Lost34
Home
Shots For32.4
Shots Against31.6
Goals For3.1
Goals Against2.7
Hits20.5
Shots Blocked8.9
Pim6.8