Floride Panthers
45-27-5, 95pts
STATISTIQUE
Astuces sur les Filtres (Anglais seulement)
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
# Nom du Joueur Nom de l'ÉquipePOS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPM PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1William KarlssonPanthersPanthersC773448821580412958520311.53%917.81111930225000321256.51%181200001.2024
2Elias LindholmPanthersPanthersC/RW77224365188049251631798.76%2518.741011212210111073057.48%98300000.9002
3Vincent TrocheckPanthersPanthersC77273865176001422456619011.02%1016.365101522700005258.58%158600001.0301
4Evgeni MalkinPanthersPanthersC772730572060452377217311.39%917.446814216000107444.07%11800020.8515
5Jake SandersonPanthersPanthersD7774956112004713646995.15%11922.8141519243011266010.00%000000.6400
6Kris LetangPanthersPanthersD77163147-1560106117397113.68%7821.0310919249000135310.00%000000.5800
7Blake ColemanPanthersPanthersC/LW/RW7721194083601361644311612.80%1417.163581570001756346.67%9000000.6100
8MacKenzie WeegarPanthersPanthersD77336391661014411348872.65%9521.6111112214011227100.00%000000.4700
9Neal PionkPanthersPanthersD7773138638012363335511.11%10319.77279113000109220.00%000000.5001
10Mikael BacklundPanthersPanthersC771424386120181373010110.22%813.76000140002201255.25%128500010.7200
11Mikhail SergachevPanthersPanthersD7742832154201518623524.65%8019.6516720300017110.00%000000.4200
12Dakota JoshuaPanthersPanthersC77141327149220126108358212.96%911.223148100001126.32%5700000.6200
13Mason McTavishPanthersPanthersC/LW77131023722061117407211.11%411.6901117000300158.41%11300000.5104
14Owen TippettPanthersPanthersLW/RW771010201224078148401026.76%414.9412314300005039.39%6600000.3501
15Radko GudasPanthersPanthersD713151812131252264519326.67%9618.410008000202100.00%000000.2800
16Adam LowryPanthersPanthersC7741216-663255810132693.96%1313.0400061232752055.69%126600000.3200
17Yakov TreninPanthersPanthersLW777815-6295659928717.07%2612.9200001122721036.36%8800000.3000
18Logan Cooley (R)PanthersPanthersC294812240115824426.90%213.6202266000151058.54%4100000.6100
19Niko MikkolaPanthersThunderbirds (FLO)D3339124260621461321.43%4516.25000101179000.00%000000.4500
20Mason MarchmentPanthersPanthersLW48246-12175175215493.85%49.90000000001032.00%2500000.2500
21Olen Zellweger (R)PanthersThunderbirds (FLO)D14011-1203133100.00%07.770002800010050.00%600000.1800
Moyenne d'équipe1427242467709142762901709259979018689.31%75316.545710716424412792180422055.75%753600030.60318
Astuces sur les Filtres (Anglais seulement)
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
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Pyotr KochetkovPanthersPanthers42291030.9252.332495649712990100.77894235711
2Petr MrazekPanthersPanthers32151610.9032.90192222939610001.00033232120
3Jake OettingerPanthersThunderbirds (FLO)41110.8992.46220009890000.3333310000
Moyenne d'équipe 784527 5 0.9152.5846378619923490100.733157777831
Astuces sur les Filtres (Anglais seulement)
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 Équipe 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
1SabresSabres511000211211170.7001219310053231845057572814135339918422.22%14285.71%01542276855.71%1464260956.11%674123554.57%1379711138653247.1%6.5%92.2%98.7DULL
2BruinsBruins422000001710740.500172946019350132573837011123579417423.53%18477.78%01542276855.71%1464260956.11%674123554.57%103728527502868.4%12.9%91.0%103.9FUN
3RangersRangers320001001661050.83316284401934010939373307421205415426.67%100100.00%01542276855.71%1464260956.11%674123554.57%83606221361966.7%14.7%91.9%106.6LUCKY
4PredatorsPredators1010000034-100.00036900201024789041138162150.00%4250.00%01542276855.71%1464260956.11%674123554.57%231623713650.0%12.5%90.2%102.7FUN
5Red WingsRed Wings44000000145981.00014243801455014049494209037307513430.77%14192.86%01542276855.71%1464260956.11%674123554.57%100709028482571.4%10.0%94.4%104.4LUCKY
6JetsJets1010000034-100.0003580011101928905171231300.00%60100.00%01542276855.71%1464260956.11%674123554.57%221423713642.9%15.8%92.2%107.9LUCKY
7HurricanesHurricanes42200000108240.500101828002350126334449011135209219315.79%10190.00%01542276855.71%1464260956.11%674123554.57%96659229512650.0%7.9%92.8%100.7DULL
8CapitalsCapitals32100000118340.66711213200128010026373706617275710440.00%10190.00%01542276855.71%1464260956.11%674123554.57%79575922401950.0%11.0%87.9%98.9FUN
9CanadiensCanadiens5500000023149101.0002341640088702006372650147513811015320.00%18383.33%11542276855.71%1464260956.11%674123554.57%136989935633364.5%11.5%90.5%102.0FUN
10LightningLightning523000001014-440.400101828014420165615747017653578924312.50%25388.00%01542276855.71%1464260956.11%674123554.57%1198011938613138.9%6.1%92.0%98.1DULL
11FlyersFlyers422000001212040.500122335005340101392438012147318716425.00%13284.62%11542276855.71%1464260956.11%674123554.57%93609428512644.4%11.9%90.1%102.0FUN
12SharksSharks1010000013-200.00012300010030129901886174125.00%3166.67%01542276855.71%1464260956.11%674123554.57%26182071360.0%3.3%83.3%86.7Unlucky
13Black HawksBlack Hawks1010000036-300.0003580002102891090354829100.00%4250.00%01542276855.71%1464260956.11%674123554.57%231622713742.9%10.7%82.9%93.6FUN
14AvalancheAvalanche2020000079-200.0007132000322074262325053211245400.00%6266.67%01542276855.71%1464260956.11%674123554.57%49344514251250.0%9.5%83.0%92.5FUN
15DucksDucks1010000013-200.0001230010002511311032925164125.00%5260.00%01542276855.71%1464260956.11%674123554.57%23162271360.0%4.0%90.6%94.6Unlucky
16OilersOilers2200000083541.00081624016110471912160682130496233.33%10190.00%01542276855.71%1464260956.11%674123554.57%47324615251275.0%17.0%95.6%112.6LUCKY
17SenateursSenateurs421000011313050.6251324370031911504739581214832338618211.11%13192.31%01542276855.71%1464260956.11%674123554.57%99709530502547.8%8.7%91.2%99.9DULL
18Maple LeafsMaple Leafs532000001618-260.600162844006550170496061019242528615533.33%21195.24%01542276855.71%1464260956.11%674123554.57%1178111737653139.3%9.4%90.6%100.0FUN
19CanucksCanucks1000010034-110.5003470002102257100321212172150.00%6266.67%01542276855.71%1464260956.11%674123554.57%221424713650.0%13.6%87.5%101.1FUN
20WildWild1100000041321.0004711001120391313130204818200.00%40100.00%01542276855.71%1464260956.11%674123554.57%271818714780.0%10.3%95.0%105.3LUCKY
21BluesBlues1100000021121.000246000200195680452112264125.00%60100.00%01542276855.71%1464260956.11%674123554.57%211426812550.0%10.5%97.8%108.3LUCKY
22KingsKings1000010023-110.5002460010102369803017424200.00%20100.00%01542276855.71%1464260956.11%674123554.57%272021612640.0%8.7%90.0%98.7Unlucky
23Golden KnightsGolden Knights1100000021121.00024600200030814802272317200.00%20100.00%01542276855.71%1464260956.11%674123554.57%241721613766.7%6.7%95.5%102.1DULL
24StarsStars1000100032121.0003690011013012972269820100.00%40100.00%01542276855.71%1464260956.11%674123554.57%251822712660.0%10.0%92.3%102.3LUCKY
25FlamesFlames1010000014-300.000123001000241653034111427600.00%7185.71%01542276855.71%1464260956.11%674123554.57%241622712625.0%4.2%88.2%92.4Unlucky
26DevilsDevils440000001991081.00019345300667015550465901184141798225.00%180100.00%01542276855.71%1464260956.11%674123554.57%108778027512765.4%12.3%92.4%104.6LUCKY
27IslandersIslanders4220000089-140.50081523004310128504236012833439317317.65%19478.95%01542276855.71%1464260956.11%674123554.57%95649131532850.0%6.3%93.0%99.2DULL
28PenguinsPenguins54100000138580.800132235014450150514554013441511122627.69%180100.00%11542276855.71%1464260956.11%674123554.57%1288711037613157.9%8.7%94.0%102.7DULL
29KrakenKraken2020000058-300.0005101500113059202217085192457500.00%11281.82%01542276855.71%1464260956.11%674123554.57%46314713251345.5%8.5%90.6%99.1Unlucky
_Vs Division32199000221058520440.68810518328803392935411413763723674010052733006391202520.83%1231587.80%11542276855.71%1464260956.11%674123554.57%81457271823440620953.3%9.2%91.5%100.7LUCKY
_Vs Conference5937170012219414549810.686194344538057053694201066464767340175750853312132314720.35%2212389.59%31542276855.71%1464260956.11%674123554.57%14981045130843275438954.6%9.7%91.7%101.4LUCKY
_Since Last GM Reset7742270132224220141950.617242434676069067825250383580583542234969173916222795419.35%3013887.38%31542276855.71%1464260956.11%674123554.57%19341344172056499050753.6%9.7%91.4%101.1LUCKY
Total7742270132224220141950.617242434676069067825250383580583542234969173916222795419.35%3013887.38%31542276855.71%1464260956.11%674123554.57%19341344172056499050753.6%9.7%91.4%101.1LUCKY

Puck Time
Offensive Zone 25
Neutral Zone 12
Defensive Zone 22
Puck Time
Offensive Zone Start 2768
Neutral Zone Start 1235
Defensive Zone Start 2609
Puck Time
With Puck 31
Without Puck 28
Faceoffs
Faceoffs Won 3680
Faceoffs Lost 2932
Team Average Shots after League Average Shots after
1st Period 10.89.57
2nd Period 21.320.31
3rd Period 32.130.68
Overtime 32.731.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.20.64
2nd Period 2.01.65
3rd Period 3.12.67
Overtime 3.22.83
Even Strenght Goal 185
PP Goal 54
PK Goal 3
Empty Net Goal 0
Home Away
Win 2124
Lost 1512
Overtime Lost 23
PP Attempt 279
PP Goal 54
PK Attempt 301
PK Goal Against 38
Home
Shots For 32.5
Shots Against 30.5
Goals For 3.1
Goals Against 2.6
Hits 21.1
Shots Blocked 9.0
Pim 9.6