Floride Panthers
40-18-5, 85pts
STATISTIQUE
Astuces sur les Filtres
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
1Sam Reinhart Panthers LW/RW60322860-113810872508620412.80%1722.26235131000191037.04%10800000.9024
2Mark Scheifele Panthers C/LW/RW6325315645525981646113615.24%318.27891720000016358.38%145600010.9700
3Wyatt Johnston Panthers C6320325206034261681717.66%1418.2551217191000135054.74%38000010.9000
4MacKenzie Weegar Panthers D63114152-2922016913435768.21%6020.00916251910001621-%000000.8300
5Mikhail Sergachev Panthers D6315355011335941485210110.14%10121.907142120600011432-%000000.7200
6Alex Tuch Panthers LW/RW632524491411589268672059.33%1916.1934742101352142.00%10000010.9611
7Adam Fox Panthers D637374461605711638606.03%5621.11410141990002400-%000100.6611
8Rickard Rakell Panthers LW611620361217570163451339.82%316.462101216200003035.80%8100010.7235
9Cole Caufield Panthers RW63142135112045189531327.41%117.593121520100003032.88%7300000.6313
10Jonathan Drouin Panthers LW63152035580231443812510.42%614.03461016700043028.57%7700000.7900
11Alex Vlasic Panthers D63326299200374522286.67%8018.27011300012500-%000100.5000
12Pius Suter Panthers C/RW631313261216040113269511.50%1112.8500030111010150.93%96600100.6400
13Jake Walman Panthers D634192312140974515198.89%9218.35000600012710-%000000.4000
14Pavel Dorofeyev Panthers LW/RW6312112308026109197611.01%313.78371015000000039.58%4800000.5300
15Adam Larsson Panthers D63318214160687618393.95%8119.482136702212801-%000000.3400
16Ryan Donato Panthers C/LW565131812804812132914.13%612.8800024000352056.88%10900000.5012
17Adam Lowry Panthers C639817629155883235410.84%1513.30101330111372059.89%105200000.4100
18Kiefer Sherwood Panthers LW/RW63610160375967914777.59%411.910001101950144.90%4900000.4300
19Alexandre Carrier Thunderbirds (FLO) D19347-14035156720.00%1717.4700020004110-%000000.4200
20Kevin Bahl Thunderbirds (FLO) D20000000000-%00.000000000000-%00000-00
Moyenne d'équipe1143238411649814701001271252371818299.43%58917.045310515819892461023341054.23%449900340.67916
Astuces sur les Filtres
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
1Linus Ullmark Panthers 49311530.9102.572919221251386011-0490341
2Joey Daccord Thunderbirds (FLO) 1811520.9052.74109440505240400.7508181010
3Sam Montembeault Panthers 10100.8535.006000534000-0162000
Moyenne d'équipe68422150.9072.6540736218019440510.75086863351
Astuces sur les Filtres
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
1SabresSabres53100001181571831490058502016957726139372673116101013362388108319395459990.70054.55%90.00%55.95%55.85%54.55%1359810732623246.2%9.0%89.2%98.2FUN
2BruinsBruins321000001164111930002450108373536075233773103133013362388108319395459990.66730.00%76.92%55.95%55.85%54.55%78556120392072.7%10.2%92.0%102.2LUCKY
3RangersRangers1100000030236901111047171515028106152120013362388108319395459991.00050.00%100.00%55.95%55.85%54.55%2620206126100.0%6.4%100.0%106.4DULL
4PredatorsPredators1100000041246100031003715148025114215120013362388108319395459991.00020.00%100.00%55.95%55.85%54.55%251821613675.0%10.8%96.0%106.8LUCKY
5Red WingsRed Wings31200000109210172700433012044314508915194913471013362388108319395459990.33330.77%85.71%55.95%55.85%54.55%79576221382042.9%8.3%89.9%98.2Unlucky
6JetsJets11000000422461000121045161514028154235120013362388108319395459991.00020.00%100.00%55.95%55.85%54.55%231623713660.0%8.9%92.9%101.7DULL
7HurricanesHurricanes412001009153918271052201273942460124422469120121013362388108319395459990.3750.00%91.67%55.95%55.85%54.55%91629529532639.1%7.1%87.9%95.0Unlucky
8CapitalsCapitals2110000036234700012067242716061218389240013362388108319395459990.50022.22%100.00%55.95%55.85%54.55%47324814241214.3%4.5%90.2%94.6Unlucky
9CanadiensCanadiens430000101788173047006281143494251395322666102121113362388108319395459991.00020.00%91.67%55.95%55.85%54.55%106758328552868.2%11.9%91.6%103.5LUCKY
10LightningLightning312000009829152400234011135383807638257114341013362388108319395459990.33321.43%75.00%55.95%55.85%54.55%74516921361946.2%8.1%89.5%97.6Unlucky
11FlyersFlyers42100100161351630460054701294648341133332473144113013362388108319395459990.62528.57%72.73%55.95%55.85%54.55%99699226502554.5%12.4%90.2%102.6FUN
12SharksSharks101000002302350011004413191202284112021013362388108319395459990.0000.00%50.00%55.95%55.85%54.55%282117613750.0%4.5%86.4%90.9Unlucky
13Black HawksBlack Hawks11000000612612180022203915131101956152231013362388108319395459991.000100.00%66.67%55.95%55.85%54.55%2719196127100.0%15.4%94.7%110.1LUCKY
14AvalancheAvalanche2010100088281321002321682815232791510448341013362388108319395459990.50037.50%75.00%55.95%55.85%54.55%48344614251241.7%11.8%89.9%101.6FUN
15DucksDucks10000100341369001020317816035811112030113362388108319395459990.5000.00%100.00%55.95%55.85%54.55%271921511542.9%9.7%88.6%98.2FUN
16OilersOilers20200000270246000200592021180501214366210013362388108319395459990.00033.33%100.00%55.95%55.85%54.55%4934441425120.0%3.4%86.0%89.4Unlucky
17SenateursSenateurs201001004714610000130601126230591616527182013362388108319395459990.25014.29%75.00%55.95%55.85%54.55%52364113271437.5%6.7%88.1%94.8Unlucky
18Maple LeafsMaple Leafs4300001015981527420021022158477237510626136321230013362388108319395459991.0009.52%100.00%55.95%55.85%54.55%108778627492659.1%9.5%91.5%101.0LUCKY
19CanucksCanucks10001000322358001101348111413590231000013362388108319395459991.0000.00%0.00%55.95%55.85%54.55%221525713660.0%8.8%94.3%103.1DULL
20WildWild110000003123690010203913101603184183021013362388108319395459991.0000.00%50.00%55.95%55.85%54.55%2316237126100.0%7.7%96.8%104.5DULL
21KingsKings1100000010212301001028981102784231020013362388108319395459991.0000.00%100.00%55.95%55.85%54.55%2115247136100.0%3.6%100.0%103.6DULL
22Golden KnightsGolden Knights100010002122460010012010361281410182150013362388108319395459991.00050.00%100.00%55.95%55.85%54.55%281922813650.0%10.0%96.4%106.4LUCKY
23StarsStars110000004324812002110369161101787126111013362388108319395459991.00016.67%0.00%55.95%55.85%54.55%261920613660.0%11.1%82.4%93.5FUN
24FlamesFlames101000001301230000103821710034616268072013362388108319395459990.0000.00%71.43%55.95%55.85%54.55%251622812650.0%2.6%91.2%93.8DULL
25DevilsDevils4400000021982136570011370156564753010033287115383013362388108319395459991.00020.00%62.50%55.95%55.85%54.55%114857425502775.0%13.5%91.0%104.5FUN
26IslandersIslanders321000001594152843004560143473660085262464229122013362388108319395459990.66740.91%83.33%55.95%55.85%54.55%82596019372046.2%10.5%89.4%99.9FUN
27PenguinsPenguins4310000018136183351007470140563450013631176318461013362388108319395459990.75022.22%83.33%55.95%55.85%54.55%99708727522653.8%12.9%90.4%103.3FUN
28KrakenKraken2200000010541019290032506917252706918193212681013362388108319395459991.00050.00%87.50%55.95%55.85%54.55%49334415251250.0%14.5%92.8%107.2LUCKY
_Vs Division241370012184623284145229002131303901292301302146391871624478621579113362388108319395459990.66724.42%84.21%55.95%55.85%54.55%63545351216630816254.3%9.3%90.3%99.6FUN
_Vs Conference462713003211691276216930046911545162317105775505761513063832938401784411219113362388108319395459990.67424.72%83.04%55.95%55.85%54.55%119785399131758830853.6%9.9%90.3%100.2FUN
_Since Last GM Reset6335180342122216885222396618127266796229777873577319180552840611532416115427213362388108319395459990.67525.31%82.47%55.95%55.85%54.55%16261155136944080941853.3%9.7%90.7%100.4FUN
Total6335180342122216885222396618127266796229777873577319180552840611532416115427213362388108319395459990.67525.31%82.47%55.95%55.85%54.55%16261155136944080941853.3%9.7%90.7%100.4FUN

Puck Time
Offensive Zone 25
Neutral Zone 12
Defensive Zone 21
Puck Time
Offensive Zone Start 2388
Neutral Zone Start 999
Defensive Zone Start 1939
Puck Time
With Puck 31
Without Puck 28
Faceoffs
Faceoffs Won 2964
Faceoffs Lost 2362
Team Average Shots after League Average Shots after
1st Period 12.39.57
2nd Period 24.020.31
3rd Period 36.330.68
Overtime 36.631.4
Goals in Team Average Goals after League Average Goals after
1st Period12.39.57
2nd Period24.020.31
3rd Period36.330.68
Overtime36.631.4
Even Strength Goal158
PP Goal61
PK Goal2
Empty Net Goal1
Home Away
Win 2020
Lost 117
Overtime Lost 14
Win2020
Lost117
Overtime Lost14
Home
Shots For36.5
Shots Against28.7
Goals For3.5
Goals Against2.7
Hits18.3
Shots Blocked8.4
Pim6.4