Final
SEA4
CBJ2

Aug
27
SabresBuffalo Sabres
5-7-2, 12pts · 8th in Group B
Player Stats
Filter Tips
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
# Player Name Team Name# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Jason RobertsonSabresSabres0LW165914220175312719.43%320.4301100000040.91%2200000.8600
2J.T. MillerSabresSabres9C/LW/RW16310130120416321404.76%221.1911200011049.72%35200000.7700
3Ryan Nugent-HopkinsSabresSabres93C/LW1658135401348102910.42%021.0711200001045.22%41800000.7700
4Brad MarchandSabresSabres63LW16841211352662144912.90%121.5111200041139.13%2300000.7000
5Bryan RustSabresSabres18LW/RW16369620124612326.52%218.7601100001038.46%2600000.6000
6Anthony DuclairSabresSabres91LW/RW16347-520172872710.71%115.6310100001055.56%1800000.5600
7Shayne GostisbehereSabresSabres0D163472601415101520.00%1919.710110003110.00%000000.4400
8Erik CernakSabresSabres81D16167-4803511489.09%1817.3600000022000.00%000000.5000
9Nicklas BackstromSabresSabres19C16347-220113114249.68%313.8300000000052.28%28500000.6300
10Jaccob SlavinSabresSabres74D16145-16025133127.69%2521.5901101130000.00%000000.2900
11Zach HymanSabresSabres18LW/RW16224-62018356265.71%219.15000101350037.04%2700000.2600
12T.J. OshieSabresSabres0RW16224-42018239168.70%19.3500000000025.00%800000.5300
13Ryan McDonaghSabresSabres27D160337403213550.00%3520.8100000031000.00%000000.1800
14Rasmus AnderssonSabresSabres4D16033-18026172100.00%2121.610110001000.00%000000.1700
15Barclay GoodrowSabresSabres19C/LW/RW16022-420612490.00%26.86000000200075.00%1200000.3600
16Erik GudbransonSabresSabres44D16112-94018145107.14%2216.0000000028000.00%000000.1600
17Teddy BluegerSabresSabres0C16022-32069580.00%17.96000011390047.80%18200000.3100
18Nick PaulSabresSabres19C/LW16000-640714260.00%17.17000000150048.08%5200000.0000
Team Total or Average2884074114-228553425071453977.89%15916.6748121232366248.00%142500000.4800
Filter Tips
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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Tristan JarrySabresSabres155820.9073.1988401475060010.0000151210
2Jonathan QuickSabresSabres21000.9232.1285003390000.0000115000
Team Total or Average176820.9083.0997001505450010.00001616210
Filter Tips
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 Team 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
1SabresHurricanes2110000077020.5007142100232071182429077252240300.00%11372.73%122047246.61%25252048.46%10220849.04%41285415241163.6%9.9%90.9%100.8FUN
2SabresJets2020000068-200.0006101600231054172314056134342150.00%2150.00%022047246.61%25252048.46%10220849.04%49354214271341.7%11.1%85.7%96.8FUN
3SabresCanadiens2110000066020.50061218105100593115130481717316116.67%60100.00%022047246.61%25252048.46%10220849.04%44304816271345.5%10.2%87.5%97.7FUN
4SabresBlues2200000084441.0008152300224068182327058216505120.00%3166.67%022047246.61%25252048.46%10220849.04%48334614251270.0%11.8%93.1%104.9LUCKY
5SabresBlue Jackets2020000018-700.0001230000106829251407219657600.00%3233.33%022047246.61%25252048.46%10220849.04%42275116261214.3%1.5%88.9%90.4Unlucky
6SabresOilers2100010043130.7504812010400582217190821812379111.11%40100.00%022047246.61%25252048.46%10220849.04%45314915251350.0%6.9%96.3%103.2DULL
7SabresGolden Knights2010010017-610.2501120001004716181217320849400.00%4175.00%022047246.61%25252048.46%10220849.04%47324815261314.3%2.1%90.4%92.5Unlucky
_Vs Division1457002003343-10120.4293362951111148042515114512814661337529835411.43%33875.76%122047246.61%25252048.46%10220849.04%3192193411071828945.3%7.8%90.8%98.5Unlucky
_Vs Conference1457002003343-10120.4293362951111148042515114512814661337529835411.43%33875.76%122047246.61%25252048.46%10220849.04%3192193411071828945.3%7.8%90.8%98.5Unlucky
_Since Last GM Reset1457002003343-10120.4293362951111148042515114512814661337529835411.43%33875.76%122047246.61%25252048.46%10220849.04%3192193411071828945.3%7.8%90.8%98.5Unlucky
Total1457002003343-10120.4293362951111148042515114512814661337529835411.43%33875.76%122047246.61%25252048.46%10220849.04%3192193411071828945.3%7.8%90.8%98.5Unlucky

Puck Time
Offensive Zone 22
Neutral Zone 13
Defensive Zone 24
Puck Time
Offensive Zone Start 472
Neutral Zone Start 208
Defensive Zone Start 520
Puck Time
With Puck 29
Without Puck 30
Faceoffs
Faceoffs Won 574
Faceoffs Lost 626
Team Average Shots after League Average Shots after
1st Period 10.810.69
2nd Period 21.121.35
3rd Period 30.332.03
Overtime 30.432.64
Goals in Team Average Goals after League Average Goals after
1st Period 0.81.08
2nd Period 1.82.13
3rd Period 2.42.97
Overtime 2.43.07
Even Strenght Goal 27
PP Goal 4
PK Goal 1
Empty Net Goal 1
Home Away
Win 32
Lost 43
Overtime Lost 02
PP Attempt 35
PP Goal 4
PK Attempt 33
PK Goal Against 8
Home
Shots For 30.4
Shots Against 33.3
Goals For 2.4
Goals Against 3.1
Hits 21.3
Shots Blocked 9.5
Pim 5.4