Montreal Canadiens
7-12-0, 14pts
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
1Ilya MikheyevCanadiensCanadiensRW1981119-200353143915.09%218.50281051000191033.33%2400001.0800
2Sean KuralyCanadiensCanadiensC/LW197916-2802947114814.89%815.541453500000177.78%2700001.0800
3Morgan GeekieCanadiensCanadiensC1931013-6140285111415.88%419.0812347000480145.95%33300000.7200
4Tyson BarrieCanadiensCanadiensD192810-1712016214119.52%2623.141343300029010.00%000000.4500
5Erik JohnsonCanadiensCanadiensD1946104803132111512.50%3720.552025100050100.00%000000.5100
6Timothy LiljegrenCanadiensCanadiensD19347-12140512751611.11%3324.892133900039100.00%000000.3000
7Oskar SundqvistCanadiensCanadiensLW/RW19156-12013274283.70%613.4202248000480048.78%4100000.4700
8Brendan GallagherCanadiensCanadiensRW19336-114085115385.88%415.54000200000032.31%13000000.4100
9Cody GlassCanadiensCanadiensC/RW1723520031131018.18%36.061231700090039.62%10600000.9700
10Craig SmithCanadiensCanadiensLW/RW19325-152074512306.67%318.9620244000161030.00%4000000.2800
11Jack McBainCanadiensCanadiensC/LW/RW18145-640292713233.70%414.590005000360072.73%2200000.3800
12Kevin KorchinskiCanadiensCanadiensD15134-740811569.09%2723.011123200042000.00%000000.2300
13Dylan HollowayCanadiensCanadiensC/LW13224-8120231551213.33%515.69000000001038.96%23100000.3900
14Sam CarrickCanadiensCanadiensC/RW19134-214026242134.17%28.991233400001053.95%15200000.4700
15Ryan McLeodCanadiensCanadiensC17314-40022681011.54%29.00000000001061.54%1300000.5200
16Radek FaksaCanadiensCanadiensC/LW19033-1220143410210.00%815.7101116000360057.00%39300000.2000
17Julien GauthierCanadiensRocket (MTL)RW6011-120410270.00%012.50000000000036.49%7400000.2700
18Simon LundmarkCanadiensCanadiensD19011-15240566260.00%2522.920002300044000.00%000000.0500
19Brock McGinnCanadiensCanadiensLW/RW19000-6001201180.00%28.05000000000012.50%800000.0000
20Daniil ChaykaCanadiensCanadiensD6000-413571020.00%321.190001700010000.00%000000.0000
21Jett WooCanadiensRocket (MTL)D100000000000.00%01.9800000001000.00%000000.0000
22Tyler Boucher (R)CanadiensCanadiensLW/RW2000-10012000.00%19.810000000500100.00%200000.0000
Moyenne d'équipe3424479123-12613953605411383948.13%20516.291426405020004417346.87%159600000.4400
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
1Dan VladarCanadiensCanadiens74200.9321.9930101101480000.0000512200
2Semyon VarlamovCanadiensCanadiens142900.8973.7172740454350110.0000124100
3Malcolm SubbanCanadiensCanadiens21100.9003.40106016600000.000023100
Moyenne d'équipe 23712 0 0.9053.22113642616430110.00001919400
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

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# 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
1SabresSabres1010000034-100.00036900012032810140371510182150.00%50100.00%028763844.98%32868048.24%13327847.84%221423713633.3%9.4%89.2%98.6FUN
2BruinsBruins2110000042220.500461001220050151817055151241300.00%60100.00%028763844.98%32868048.24%13327847.84%49344413261366.7%8.0%96.4%104.4DULL
3Red WingsRed Wings2110000057-220.500591400230052152017059231438500.00%5260.00%028763844.98%32868048.24%13327847.84%45314813251350.0%9.6%88.1%97.8FUN
4HurricanesHurricanes1010000017-600.00012300100024105904011818300.00%4175.00%028763844.98%32868048.24%13327847.84%201326712514.3%4.2%82.5%86.7Unlucky
5CapitalsCapitals1100000021121.0002460001102361160359121311100.00%50100.00%028763844.98%32868048.24%13327847.84%211427710550.0%8.7%97.1%105.8DULL
6LightningLightning2200000073441.0007142100205047121322065138407342.86%40100.00%028763844.98%32868048.24%13327847.84%39265416251157.1%14.9%95.4%110.3LUCKY
7SenateursSenateurs30300000713-600.000711180042109627333601123620629222.22%90100.00%028763844.98%32868048.24%13327847.84%59398224381627.8%7.3%88.4%95.7Unlucky
8Maple LeafsMaple Leafs2020000029-700.000246100020511912200803022368225.00%11190.91%028763844.98%32868048.24%13327847.84%3824561625110.0%3.9%88.8%92.7Unlucky
9CanucksCanucks1010000024-200.00022400110032107150257814300.00%3233.33%028763844.98%32868048.24%13327847.84%231522714750.0%6.3%84.0%90.3Unlucky
10WildWild1100000010121.00012301010036121212023613244125.00%30100.00%028763844.98%32868048.24%13327847.84%2215257125 nan%2.8%100.0%102.8DULL
11FlamesFlames1010000046-200.000481200211029106130401661811100.00%2150.00%028763844.98%32868048.24%13327847.84%221625711537.5%13.8%85.0%98.8FUN
12PanthersPanthers1010000023-100.0002350010103112109045134146233.33%20100.00%028763844.98%32868048.24%13327847.84%21152581250.0%6.5%93.3%99.8DULL
13PenguinsPenguins1100000043121.000481200310038141212028116247114.29%30100.00%028763844.98%32868048.24%13327847.84%231524711550.0%10.5%89.3%99.8FUN
_Vs Division1349000003041-1180.30830538311118110359108116135045314590249401025.00%42392.86%028763844.98%32868048.24%13327847.84%277186335991677934.5%8.4%90.9%99.3Unlucky
_Vs Conference16610000003752-15120.37537671041115101204441381441620556176116304511223.53%54492.59%028763844.98%32868048.24%13327847.84%3432304141222029634.2%8.3%90.6%99.0Unlucky
_Since Last GM Reset19712000004462-18140.36844791231218131305411701692020644205143360591423.73%62788.71%028763844.98%32868048.24%13327847.84%41227848614524011435.3%8.1%90.4%98.5Unlucky
Total19712000004462-18140.36844791231218131305411701692020644205143360591423.73%62788.71%028763844.98%32868048.24%13327847.84%41227848614524011435.3%8.1%90.4%98.5Unlucky

Puck Time
Offensive Zone 21
Neutral Zone 12
Defensive Zone 25
Puck Time
Offensive Zone Start 638
Neutral Zone Start 278
Defensive Zone Start 680
Puck Time
With Puck 28
Without Puck 31
Faceoffs
Faceoffs Won 748
Faceoffs Lost 848
Team Average Shots after League Average Shots after
1st Period 8.99.57
2nd Period 17.820.31
3rd Period 28.530.68
Overtime 28.531.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.90.64
2nd Period 1.61.65
3rd Period 2.32.67
Overtime 2.32.83
Even Strenght Goal 29
PP Goal 14
PK Goal 0
Empty Net Goal 1
Home Away
Win 34
Lost 66
Overtime Lost 00
PP Attempt 59
PP Goal 14
PK Attempt 62
PK Goal Against 7
Home
Shots For 28.5
Shots Against 33.9
Goals For 2.3
Goals Against 3.3
Hits 18.9
Shots Blocked 10.8
Pim 7.5