FlyersPhiladelphia Flyers
0-2-1, 1pts · 14th in Eastern Conference
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
1Marcus FolignoFlyersFlyers17LW/RW33143407120525.00%223.:.53101000210083.33%600001.1200
2Shane PintoFlyersFlyers12C30443100170110.00%023.:.22000000190042.20%10900001.1400
3Joe VelenoFlyersFlyers90C302210003210.00%115.:.53011000220053.66%8200000.8400
4Patrik LaineFlyersFlyers29LW/RW3202200080225.00%011.:.110000000000.00%500001.1900
5Jalen ChatfieldFlyersFlyers5D302200010010.00%1824.:.3800000022000.00%000000.5400
6Liam O'BrienFlyersFlyers98C3011-20052130.00%008.:.2600000020036.67%3000000.7900
7Tomas NosekFlyersFlyers24C/LW301110003120.00%009.:.38011000200100.00%200000.6900
8Christian FischerFlyersFlyers66C/RW3101-220030233.33%007.:.080000000000.00%100000.9300
9Nathan WalkerFlyersFlyers72LW3011300115220.00%215.:.250000001600100.00%200000.4300
10Jani HakanpaaFlyersFlyers2D3101-1801030033.33%422.:.2900000017000.00%000000.3000
11Kyle BurroughsFlyersFlyers38D3011-110091030.00%812.:.410000002000.00%000000.5300
12Noah JuulsenFlyersFlyers47D3101060830233.33%623.:.2800000019000.00%000000.2800
13Adam BoqvistFlyersFlyers34D3000-12002100.00%013.:.530000005000.00%000000.0000
14Miles WoodFlyersFlyers28LW3000-20000120.00%007.:.110000000000.00%000000.0000
15Evgenii DadonovFlyersFlyers63LW/RW3000-52018090.00%017.:.3600000000033.33%300000.0000
16James van RiemsdykFlyersFlyers21LW/RW3000-52028160.00%315.:.3100000000025.00%400000.0000
17Vincent DesharnaisFlyersFlyers73D3000-25542000.00%1121.:.3900000019000.00%000000.0000
18Ryan StromeFlyersFlyers16C/RW3000-54096440.00%015.:.5500000000054.10%6100000.0000
Team Total or Average5481321-135556876135510.53%5516:061230001720047.54%30500000.4800
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
1Semyon VarlamovFlyersFlyers1000100.0%0.00800040000.0%012000
2Vitek VanecekFlyersFlyers101091.8%4.7151004490000.0%001000
3Frederik AndersenFlyersFlyers201187.4%5.321242011870000.0%020000
Team Total or Average402189.3%4.8918420151400000.000033000
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
1FlyersHurricanes1000010045-110.50046100012103681215147171620200.00%8187.50%04711142.34%7314052.14%255050.00%221327714650.0%11.1%89.4%100.5FUN
2FlyersPanthers20200000410-600.000471100211040131890933841482150.00%18477.78%04711142.34%7314052.14%255050.00%37215617261133.3%10.0%89.2%99.2FUN
_Vs Division1000010045-110.50046100012103681215147171620200.00%8187.50%04711142.34%7314052.14%255050.00%221327714650.0%11.1%89.4%100.5FUN
_Vs Conference30200100815-710.167813210033207621302411405557684125.00%26580.77%04711142.34%7314052.14%255050.00%59358425401741.2%10.5%89.3%99.8FUN
_Since Last GM Reset30200100815-710.167813210033207621302411405557684125.00%26580.77%04711142.34%7314052.14%255050.00%59358425401741.2%10.5%89.3%99.8FUN
Total30200100815-710.167813210033207621302411405557684125.00%26580.77%04711142.34%7314052.14%255050.00%59358425401741.2%10.5%89.3%99.8FUN

Puck Time
Offensive Zone 19
Neutral Zone 13
Defensive Zone 28
Puck Time
Offensive Zone Start 111
Neutral Zone Start 50
Defensive Zone Start 140
Puck Time
With Puck 26
Without Puck 35
Faceoffs
Faceoffs Won 145
Faceoffs Lost 156
Team Average Shots after League Average Shots after
1st Period 7.010.69
2nd Period 17.021.35
3rd Period 25.032.03
Overtime 25.332.64
Goals in Team Average Goals after League Average Goals after
1st Period 1.01.08
2nd Period 2.02.13
3rd Period 2.72.97
Overtime 2.73.07
Even Strenght Goal 7
PP Goal 1
PK Goal 0
Empty Net Goal 0
Home Away
Win 00
Lost 11
Overtime Lost 01
PP Attempt 4
PP Goal 1
PK Attempt 26
PK Goal Against 5
Home
Shots For 25.3
Shots Against 46.7
Goals For 2.7
Goals Against 5.0
Hits 22.7
Shots Blocked 18.3
Pim 19.0