Final
SEA4
CBJ2

Aug
27
SenatorsOttawa Senators
8-4-2, 18pts · 3rd in Group A
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
1Cale MakarSenatorsSenators8D1501515-210037379210.00%2623.120330000000.00%000000.8700
2Mason MarchmentSenatorsSenators71C/LW15761371153328101625.00%113.6111200000023.08%1300001.2700
3Anthony CirelliSenatorsSenators71C/LW/RW154812920133891310.53%716.20000000470055.52%32600000.9900
4Pierre-Luc DuboisSenatorsSenators18C/LW1519103115263412252.94%217.8902200060154.85%33000000.7500
5Andrei SvechnikovSenatorsSenators37LW/RW15549-395493183516.13%117.8311200011036.84%1900000.6702
6Patrik LaineSenatorsSenators29LW/RW15549040134363411.63%218.3500000003042.86%2800000.6500
7Matt BoldySenatorsSenators0LW/RW1536990022481812.50%112.6800000001060.00%1000000.9500
8Tim StutzleSenatorsSenators0C/LW15279400173810275.26%116.4201100000045.83%2400000.7300
9Elias PetterssonSenatorsSenators40C/LW/RW1543710044513348.89%118.5900000031142.11%1900000.5011
10Jakob ChychrunSenatorsSenators26D15347540142171814.29%2018.5020200015000.00%000000.5000
11Moritz SeiderSenatorsSenators53D15437380232041420.00%2721.8410100028100.00%000000.4300
12Sebastian AhoSenatorsSenators20C/LW15156-440155018452.00%219.72022000190046.73%41300000.4102
13Alexandre CarrierSenatorsSenators0D151564802493211.11%2115.6700000036000.00%000000.5100
14Miro HeiskanenSenatorsSenators4D15325-680221522020.00%2423.6700000032010.00%000100.2800
15Mario FerraroSenatorsSenators38D1513451402061816.67%1918.1300000028000.00%000000.2900
16Kailer YamamotoSenatorsSenators56LW/RW15112-4409154196.67%28.29000000170037.50%800000.3200
17Nicolas RoySenatorsSenators0C/RW15112-4201111489.09%110.14000000450048.18%13700000.2600
18Lucas RaymondSenatorsSenators0RW15112-520115566.67%07.2100000000060.00%1000000.3700
Team Total or Average270478713422101153334801333639.79%15816.55510150002817350.64%133700100.6015
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
1Thatcher DemkoSenatorsSenators158520.9112.9388201434830010.6676150200
2Kaapo KahkonenSenatorsSenators10000.8574.0030002140000.0000015000
Team Total or Average168520.9092.9691301454970010.66761515200
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
1SenatorsFlyers20100010610-420.50061016001311581913236913214497228.57%7185.71%025649252.03%26251351.07%10722148.42%43285515251130.8%10.3%89.0%99.4FUN
2SenatorsCapitals2110000074320.5007121901205072291528065192346300.00%9188.89%025649252.03%26251351.07%10722148.42%45304815251270.0%9.7%93.8%103.6LUCKY
3SenatorsPredators2110000088020.5008132100233057261813080201752600.00%6183.33%025649252.03%26251351.07%10722148.42%46314714261453.3%14.0%90.0%104.0FUN
4SenatorsWild2200000093641.0009172600315060232017062108495120.00%40100.00%025649252.03%26251351.07%10722148.42%47334615251272.7%15.0%95.2%110.2LUCKY
5SenatorsFlames2200000053241.00051015004010712225240592610443133.33%4175.00%025649252.03%26251351.07%10722148.42%47334515261266.7%7.0%94.9%102.0DULL
6SenatorsCanucks2000010168-220.5006111700213058241618260188411119.09%4175.00%025649252.03%26251351.07%10722148.42%52364914261441.7%10.3%86.7%97.0FUN
7SenatorsKraken2110000068-220.5006121800213063202023055211226500.00%6183.33%025649252.03%26251351.07%10722148.42%44294815261346.2%9.5%85.5%95.0FUN
_Vs Division14740011147443180.64347851320116921143916312714684721469230740512.50%40685.00%025649252.03%26251351.07%10722148.42%3272233431061839052.5%10.7%90.7%101.4FUN
_Vs Conference14740011147443180.64347851320116921143916312714684721469230740512.50%40685.00%025649252.03%26251351.07%10722148.42%3272233431061839052.5%10.7%90.7%101.4FUN
_Since Last GM Reset14740011147443180.64347851320116921143916312714684721469230740512.50%40685.00%025649252.03%26251351.07%10722148.42%3272233431061839052.5%10.7%90.7%101.4FUN
Total14740011147443180.64347851320116921143916312714684721469230740512.50%40685.00%025649252.03%26251351.07%10722148.42%3272233431061839052.5%10.7%90.7%101.4FUN

Puck Time
Offensive Zone 23
Neutral Zone 13
Defensive Zone 24
Puck Time
Offensive Zone Start 492
Neutral Zone Start 221
Defensive Zone Start 513
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 625
Faceoffs Lost 601
Team Average Shots after League Average Shots after
1st Period 11.610.69
2nd Period 20.721.35
3rd Period 31.132.03
Overtime 31.732.64
Goals in Team Average Goals after League Average Goals after
1st Period 1.11.08
2nd Period 1.82.13
3rd Period 3.32.97
Overtime 3.43.07
Even Strenght Goal 42
PP Goal 5
PK Goal 0
Empty Net Goal 0
Home Away
Win 62
Lost 04
Overtime Lost 11
PP Attempt 40
PP Goal 5
PK Attempt 40
PK Goal Against 6
Home
Shots For 31.4
Shots Against 33.7
Goals For 3.4
Goals Against 3.1
Hits 21.9
Shots Blocked 10.4
Pim 6.6