Final
SEA4
CBJ2

Aug
27
CapitalsWashington Capitals
4-9-1, 9pts · 8th 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
1Steven StamkosCapitalsCapitals91C/LW/RW155813-820285222419.62%221.8602200000055.56%32400000.7901
2Tomas HertlCapitalsCapitals48C/LW1521012-360204113354.88%221.52123101350152.18%41200000.7401
3Adam FoxCapitalsCapitals23D1527934013296116.90%3425.2221300035000.00%000000.4800
4Filip ForsbergCapitalsCapitals0LW/RW15639-880216226529.68%221.8521300001038.46%2600000.5501
5Adam PelechCapitalsCapitals3D15235-108021101120.00%3120.7100000036000.00%000000.3200
6Yanni GourdeCapitalsCapitals0C/LW/RW15145-360323810232.63%315.6301100000052.17%11500000.4300
7David PerronCapitalsCapitals0LW/RW15235-220183617375.56%118.2000000002038.89%1800000.3700
8Quinn HughesCapitalsCapitals0D15145-178012164146.25%1422.060220000000.00%000000.3000
9Valeri NichushkinCapitalsCapitals43LW/RW15145-52013329213.12%517.88000000360028.57%1400000.3700
10Tyler BertuzziCapitalsCapitals59LW/RW15224-775143714305.41%419.3900000000053.85%1300000.2800
11Rasmus RistolainenCapitalsCapitals70D15213724105021529.52%1821.010000006100.00%000000.1900
12Radek FaksaCapitalsCapitals0C15033020472100.00%47.70000011380057.23%16600000.5200
13Cal ClutterbuckCapitalsCapitals15LW/RW15213-160451540.00%05.29000000300100.00%100000.7600
14Anton StralmanCapitalsCapitals6D15112-8401082612.50%1914.9900000039000.00%000000.1800
15Jakob SilfverbergCapitalsCapitals33LW/RW15112-100093711.11%04.9500000000025.00%800000.5400
16Jeff CarterCapitalsCapitals0C/LW/RW15011-66022144150.00%312.99000000360049.26%27000000.1000
17Reilly SmithCapitalsCapitals19LW/RW15101-6206245114.17%010.4000000000123.08%1300000.1300
18Jake McCabeCapitalsCapitals19D15000-8602412040.00%1814.7000000034000.00%000000.0000
Team Total or Average270315687-83103153124531443256.84%16016.4659141123024251.96%138000000.3903
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
1Ilya SorokinCapitalsCapitals1541010.9023.3286701484880100.6673150210
2Anton ForsbergCapitalsCapitals10000.9671.5040001300000.0000015000
Team Total or Average1641010.9053.2490801495180100.66731515210
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
1CapitalsFlyers2200000061541.00061117012130551718200761812306116.67%60100.00%128053652.24%27352452.10%11021251.89%42264916271383.3%10.9%98.7%109.6LUCKY
2CapitalsSenators2110000047-320.5004711002110651430210721611469111.11%30100.00%028053652.24%27352452.10%11021251.89%48324514251330.0%6.2%90.3%96.4Unlucky
3CapitalsPredators2020000058-300.00051015001310642131120802810566116.67%5260.00%028053652.24%27352452.10%11021251.89%43284915261340.0%7.8%90.0%97.8Unlucky
4CapitalsWild2010000157-210.250591400320063301715459201541300.00%5260.00%028053652.24%27352452.10%11021251.89%48314814281450.0%7.9%88.1%96.1Unlucky
5CapitalsFlames2020000027-500.00023500200045171612062261938400.00%70100.00%028053652.24%27352452.10%11021251.89%45304715261322.2%4.4%88.7%93.2Unlucky
6CapitalsCanucks20200000310-700.000369000120711425320762214455120.00%6266.67%028053652.24%27352452.10%11021251.89%47314615251120.0%4.2%86.8%91.1Unlucky
7CapitalsKraken2010100035-220.50035800110156171913757121239300.00%60100.00%028053652.24%27352452.10%11021251.89%48324915251237.5%5.4%91.2%96.6DULL
_Vs Division1439010012845-1790.3212851790111971419130156125114821429329536411.11%38684.21%128053652.24%27352452.10%11021251.89%3242133381061879238.1%6.7%90.7%97.3Unlucky
_Vs Conference1439010012845-1790.3212851790111971419130156125114821429329536411.11%38684.21%128053652.24%27352452.10%11021251.89%3242133381061879238.1%6.7%90.7%97.3Unlucky
_Since Last GM Reset1439010012845-1790.3212851790111971419130156125114821429329536411.11%38684.21%128053652.24%27352452.10%11021251.89%3242133381061879238.1%6.7%90.7%97.3Unlucky
Total1439010012845-1790.3212851790111971419130156125114821429329536411.11%38684.21%128053652.24%27352452.10%11021251.89%3242133381061879238.1%6.7%90.7%97.3Unlucky

Puck Time
Offensive Zone 23
Neutral Zone 13
Defensive Zone 24
Puck Time
Offensive Zone Start 536
Neutral Zone Start 212
Defensive Zone Start 524
Puck Time
With Puck 29
Without Puck 31
Faceoffs
Faceoffs Won 663
Faceoffs Lost 609
Team Average Shots after League Average Shots after
1st Period 9.310.69
2nd Period 20.421.35
3rd Period 29.432.03
Overtime 30.132.64
Goals in Team Average Goals after League Average Goals after
1st Period 0.81.08
2nd Period 1.42.13
3rd Period 1.92.97
Overtime 2.03.07
Even Strenght Goal 23
PP Goal 4
PK Goal 1
Empty Net Goal 0
Home Away
Win 22
Lost 45
Overtime Lost 10
PP Attempt 36
PP Goal 4
PK Attempt 38
PK Goal Against 6
Home
Shots For 29.9
Shots Against 34.4
Goals For 2.0
Goals Against 3.2
Hits 21.1
Shots Blocked 10.1
Pim 6.6