PanthersFlorida Panthers
4-2-0, 8pts · 2nd 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
1Nikita KucherovPanthersPanthers86RW6235-22082910206.90%122.:.0712300001050.00%1000000.7500
2Brayden PointPanthersPanthers21C6224-2006235228.70%122.:.2021300031050.28%17900000.6000
3Conor GarlandPanthersPanthers83LW/RW62242553851525.00%016.:.1101100001014.29%700000.8200
4Brandon HagelPanthersPanthers38LW6213-14012294136.90%123.:.29000101110033.33%900000.4300
5Joel Eriksson EkPanthersPanthers14C61231601415566.67%215.:.4900001190045.61%11400000.6300
6Brandon MontourPanthersPanthers62D602249554140.00%1921.:.0000000017000.00%000000.3200
7Vince DunnPanthersPanthers29D6022-120179160.00%1023.:.330110004000.00%000000.2800
8Jarred TinordiPanthersPanthers23D602221810141010.00%415.:.510000001000.00%000000.4200
9Brock NelsonPanthersPanthers11C61122204166116.25%118.:.1000000000049.26%13600000.3700
10Ross ColtonPanthersPanthers20C/LW/RW611226013105610.00%015.:.5100000000057.14%700000.4200
11Casey CizikasPanthersPanthers53C6112200120050.00%004.:.39000112270059.02%6100001.4300
12Artturi LehkonenPanthersPanthers52LW/RW61010205146157.14%116.:.2600000020040.00%500000.2000
13Cole PerfettiPanthersPanthers91C/LW/RW6011000515350.00%115.:.3500000000020.00%500000.2100
14Dylan SambergPanthersPanthers54D601104046430.00%419.:.2900001122000.00%000000.1700
15Zach WhitecloudPanthersPanthers2D6101020550320.00%617.:.4700010121100.00%000000.1900
16Scott LaughtonPanthersPanthers24C/LW601120010010.00%004.:.36000011270066.67%300000.7200
17Corey PerryPanthersPanthers10RW600000010010.00%000.:.390000000000.00%200000.0000
18Adam LarssonPanthersPanthers6D6000195108230.00%1121.:.4200000015000.00%000000.0000
Team Total or Average108142236127125128194571357.22%6216:243583471654048.88%53800000.4100
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
1Anthony StolarzPanthersPanthers642094.1%1.8236301111850000.0%060110
Team Total or Average642094.1%1.8236301111850000.000060110
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
1PanthersMaple Leafs642000001411380.6671422360152611947363562185627112818316.67%22386.36%311323647.88%10922448.66%417852.56%1338414847803957.9%7.2%94.1%101.3DULL
_Vs Division642000001411380.6671422360152611947363562185627112818316.67%22386.36%311323647.88%10922448.66%417852.56%1338414847803957.9%7.2%94.1%101.3DULL
_Vs Conference642000001411380.6671422360152611947363562185627112818316.67%22386.36%311323647.88%10922448.66%417852.56%1338414847803957.9%7.2%94.1%101.3DULL
_Since Last GM Reset642000001411380.6671422360152611947363562185627112818316.67%22386.36%311323647.88%10922448.66%417852.56%1338414847803957.9%7.2%94.1%101.3DULL
Total642000001411380.6671422360152611947363562185627112818316.67%22386.36%311323647.88%10922448.66%417852.56%1338414847803957.9%7.2%94.1%101.3DULL

Puck Time
Offensive Zone 22
Neutral Zone 13
Defensive Zone 24
Puck Time
Offensive Zone Start 236
Neutral Zone Start 78
Defensive Zone Start 224
Puck Time
With Puck 28
Without Puck 31
Faceoffs
Faceoffs Won 263
Faceoffs Lost 275
Team Average Shots after League Average Shots after
1st Period 12.210.69
2nd Period 22.721.35
3rd Period 32.032.03
Overtime 32.332.64
Goals in Team Average Goals after League Average Goals after
1st Period 0.81.08
2nd Period 1.22.13
3rd Period 2.22.97
Overtime 2.33.07
Even Strenght Goal 8
PP Goal 3
PK Goal 3
Empty Net Goal 0
Home Away
Win 13
Lost 20
Overtime Lost 00
PP Attempt 18
PP Goal 3
PK Attempt 22
PK Goal Against 3
Home
Shots For 32.3
Shots Against 30.8
Goals For 2.3
Goals Against 1.8
Hits 21.3
Shots Blocked 10.3
Pim 11.8