Caroline Hurricanes
48-10-4, 100pts
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
1Cale Makar Hurricanes D621743609380106168499210.12%10223.939152418601115151-%000000.8100
2Kyle Connor Hurricanes LW6224345825141031262791869.16%619.7261016182000533132.46%11400100.9514
3Carter Verhaeghe Hurricanes C621935543100421846315810.33%316.987132016200003137.50%12800001.0300
4Pierre-Luc Dubois Hurricanes C6214354924300152158411278.86%718.842101218200013056.96%152200100.8414
5Sam Bennett Hurricanes C/LW601725424355132183561419.29%317.5131013150000294153.47%131100000.8000
6Brandon Carlo Hurricanes D62103141273207292326310.87%10820.03591417700015720-%000200.6600
7Nikolaj Ehlers Hurricanes LW/RW622118392740431953912510.77%719.0163917900093133.73%8300000.6600
8Noah Dobson Hurricanes D62122739841556114317610.53%7220.7157121630004260-%000000.6113
9Victor Olofsson Hurricanes LW/RW6212132511202296226712.50%011.3433616200002040.00%6500000.7111
10Jalen Chatfield Hurricanes D6281523203958358213613.79%5217.764591460005320-%000100.4200
11Chris Tanev Hurricanes D5671522133806545192015.56%8919.58011700013610-%000100.4000
12Logan O'Connor Hurricanes RW628122031005412036736.67%1416.0000001011971036.71%7900000.4000
13Mattias Samuelsson Hurricanes D6251520125601335616458.93%10318.75011300014030-%000000.3400
14J.T. Compher Hurricanes C/RW62712191402511928675.88%813.16123120001153052.23%98600000.4700
15Jason Dickinson Hurricanes C/LW/RW5581018535151088124809.88%1115.9600010111721054.04%66800000.4100
16Maxim Tsyplakov Hurricanes RW62512173240556828597.35%414.400111100001135.09%5700000.3800
17AJ Greer Hurricanes LW/RW62661211240504391913.95%57.340000000972046.15%2600000.5300
18Mikael Pyyhtia Hurricanes C52281013206324116.25%96.090000000100040.52%30600000.6300
19Jackson Blake (R) Checkers (CAR) RW17011-320412280.00%07.21000000000037.50%800000.1600
20Bradly Nadeau (R) Checkers (CAR) LW20000201011-%07.650000000000-%000000.0000
21Michael Kesselring Checkers (CAR) D6000-1100132260.00%216.8900010000200-%000000.0000
Moyenne d'équipe1116202367569215452401253208860214609.67%60516.4351901411740123136945651.77%535300600.62412
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
1Connor Hellebuyck Hurricanes 5541740.9371.9231650710115920200.833125111866
2Pyotr Kochetkov Hurricanes 137300.8823.495840034287000-01151000
Moyenne d'équipe68481040.9282.1637500713518790200.833126262866
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
1SabresSabres211000006826111701321076362218057198497141011512196110121645199510.50014.29%75.00%52.41%50.88%54.57%51374214261341.7%7.9%86.0%93.9Unlucky
2BruinsBruins321000001174111728004340118314938081383064155144011512196110121645199510.66733.33%71.43%52.41%50.88%54.57%77536522372066.7%9.3%91.4%100.7LUCKY
3RangersRangers550000002381023416400133701756060550154493292152130011512196110121645199511.00013.33%100.00%52.41%50.88%54.57%1218611536623172.4%13.1%94.8%107.9LUCKY
4Red WingsRed Wings3200000110751018280054101154037356882118598281111512196110121645199510.83325.00%87.50%52.41%50.88%54.57%79566819372057.1%8.7%92.0%100.7DULL
5CapitalsCapitals521001101212712203200623117660555761445948118164195011512196110121645199510.70025.00%73.68%52.41%50.88%54.57%1157912837623053.3%6.8%91.7%98.5DULL
6CanadiensCanadiens32001000106610172700522111131443428325225984101011512196110121645199511.00050.00%90.00%52.41%50.88%54.57%80576220382154.5%9.0%92.8%101.8LUCKY
7LightningLightning2110000055251015002210792915350532112438263011512196110121645199510.50025.00%50.00%52.41%50.88%54.57%46314715251360.0%6.3%90.6%96.9Unlucky
8FlyersFlyers53100010149814253901562115761415351764940104173141011512196110121645199510.80017.65%92.86%52.41%50.88%54.57%1188112236633257.9%8.9%94.9%103.8LUCKY
9SharksSharks2100010063361117013300561318214541816327160011512196110121645199510.75014.29%100.00%52.41%50.88%54.57%49344715271462.5%10.7%94.4%105.2LUCKY
10OilersOilers110000003223690030003513139026126292031011512196110121645199511.0000.00%66.67%52.41%50.88%54.57%241722712675.0%8.6%92.3%100.9DULL
11SenateursSenateurs220000007347121900511057211422051919367361011512196110121645199511.00042.86%83.33%52.41%50.88%54.57%50344315261466.7%12.3%94.1%106.4LUCKY
12Maple LeafsMaple Leafs4310000013861324370031901194228490125424182103152011512196110121645199510.75030.00%86.67%52.41%50.88%54.57%88599931512462.5%10.9%93.6%104.5LUCKY
13CanucksCanucks110000002122460001102188503368302140011512196110121645199511.00050.00%100.00%52.41%50.88%54.57%221425612650.0%9.5%97.0%106.5LUCKY
14WildWild21100000342347012100553011140652216429181011512196110121645199510.50011.11%87.50%52.41%50.88%54.57%46304814251340.0%5.5%93.8%99.3DULL
15BluesBlues11000000212246002000227132022144142020011512196110121645199511.0000.00%100.00%52.41%50.88%54.57%221524713666.7%9.1%95.5%104.5LUCKY
16KingsKings21100000222246010020642319220581510574150011512196110121645199510.50025.00%100.00%52.41%50.88%54.57%48334515251233.3%3.1%96.6%99.7DULL
17Golden KnightsGolden Knights100000104324590012024312820749130162000011512196110121645199511.0000.00%0.00%52.41%50.88%54.57%261824714757.1%9.3%93.9%103.2LUCKY
18StarsStars1100000053259140021202811116025410194351011512196110121645199511.00075.00%80.00%52.41%50.88%54.57%231522713650.0%17.9%88.0%105.9FUN
19FlamesFlames220000006446111700213053181421056228393140011512196110121645199511.00033.33%100.00%52.41%50.88%54.57%47314515271355.6%11.3%92.9%104.2LUCKY
20DevilsDevils440000002188214061019660143494648098333362136132011512196110121645199511.00046.15%84.62%52.41%50.88%54.57%110777726522871.4%14.7%91.8%106.5LUCKY
21PanthersPanthers4210100015961529440015811243338521127432478121120011512196110121645199510.7508.33%100.00%52.41%50.88%54.57%95659129532660.9%12.1%92.9%105.0LUCKY
22IslandersIslanders42101000151461528430183311536037533146462469164113011512196110121645199510.75025.00%72.73%52.41%50.88%54.57%100719529492450.0%9.8%90.4%100.2FUN
23PenguinsPenguins310011001095101727004231108324627310825236012391011512196110121645199510.83325.00%88.89%52.41%50.88%54.57%72497222391946.7%9.3%91.7%100.9LUCKY
_Vs Division2617302220956044951712660345222449123222852931782626120050589227912011512196110121645199510.84624.72%84.81%52.41%50.88%54.57%63844561218932916760.3%10.4%92.7%103.2LUCKY
_Vs Conference49328042211721137917230948104734251617115855325762614914793749751644315425111512196110121645199510.80626.22%83.77%52.41%50.88%54.57%1206843113235862732159.4%10.1%92.4%102.5LUCKY
_Since Last GM Reset62411004331205136100205367572078851598208872064769637187960545212531995119128111512196110121645199510.80625.63%85.34%52.41%50.88%54.57%15171055143845579940958.8%9.8%92.8%102.6LUCKY
Total62411004331205136100205367572078851598208872064769637187960545212531995119128111512196110121645199510.80625.63%85.34%52.41%50.88%54.57%15171055143845579940958.8%9.8%92.8%102.6LUCKY

Puck Time
Offensive Zone 24
Neutral Zone 12
Defensive Zone 23
Puck Time
Offensive Zone Start 2196
Neutral Zone Start 951
Defensive Zone Start 2164
Puck Time
With Puck 30
Without Puck 29
Faceoffs
Faceoffs Won 2771
Faceoffs Lost 2540
Team Average Shots after League Average Shots after
1st Period 11.69.57
2nd Period 22.020.31
3rd Period 33.330.68
Overtime 33.931.4
Goals in Team Average Goals after League Average Goals after
1st Period11.69.57
2nd Period22.020.31
3rd Period33.330.68
Overtime33.931.4
Even Strength Goal153
PP Goal51
PK Goal1
Empty Net Goal0
Home Away
Win 2622
Lost 55
Overtime Lost 13
Win2622
Lost55
Overtime Lost13
Home
Shots For33.7
Shots Against30.3
Goals For3.3
Goals Against2.2
Hits20.2
Shots Blocked9.8
Pim7.3