HurricanesCarolina Hurricanes
7-5-1, 15pts · 8th in Eastern Conference
Player Stats
Filter Tips
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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
1Matt BoldyHurricanesHurricanes12LW/RW1391019111152150115318.00%122.:.4623510171157.69%2600011.2800
2Morgan GeekieHurricanesHurricanes67C/LW/RW13412169140295814506.90%322.:.1705500002054.17%2400001.1000
3Filip ChytilHurricanesHurricanes72C/RW13291110206249268.33%421.:.5213400000048.03%40600000.7700
4Nikita ZadorovHurricanesHurricanes91D1345921804125131716.00%2524.:.2411200021000.00%000000.5700
5Brett KulakHurricanesHurricanes27D13189100132011105.00%1422.:.1312300031100.00%000000.6200
6Luke HughesHurricanesHurricanes43D1226810061571313.33%1922.:.552130007000.00%000000.5800
7Jani NymanHurricanesHurricanes38RW13347-100101571420.00%111.:.0610100000044.74%3800000.9700
8Ryan PoehlingHurricanesHurricanes25C/LW13336-1003333219.09%111.:.37000011401055.47%24700000.7900
9Jordan MartinookHurricanesHurricanes48C/LW/RW13325-82020338269.09%320.:.39101000351023.53%1700000.3700
10Cole SillingerHurricanesHurricanes34C/LW8134-740222010235.00%117.:.30123000110049.75%20300000.5700
11Anthony DuclairHurricanesHurricanes91C/LW/RW13224-20061771011.76%013.:.1001100010150.00%800000.4700
12Olen ZellwegerHurricanesHurricanes51D13224-18016219109.52%1920.:.4711200011000.00%000000.3000
13Haydn FleuryHurricanesHurricanes77D13303-4401762250.00%1514.:.4200000019000.00%000000.3100
14Josh MahuraHurricanesHurricanes76D13033-620205530.00%1415.:.4600000024000.00%000000.2900
15Zach BensonHurricanesHurricanes6C/LW/RW13123-102018337313.03%118.:.33011000140042.55%14100000.2500
16Sonny MilanoHurricanesHurricanes15LW13112-400314387.14%107.:.3800000000080.00%500000.4000
17Sam LaffertyHurricanesHurricanes52C/LW/RW13112-2002124108.33%306.:.5500000001051.40%10700000.4400
18Adam KlapkaHurricanesHurricanes45LW/RW11011-24013162100.00%106.:.40000000000100.00%200000.2700
19Calen AddisonHurricanesHurricanes2D100000002010.00%323.:.260000001000.00%000000.0000
20Alex BelzileHurricanesHurricanes0C/RW7000-30032210.00%106.:.470000005000.00%000000.0000
Team Total or Average2344274116-177152694211343399.98%13016:311120311122337249.59%122400010.6000
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
1Scott WedgewoodHurricanesHurricanes963090.6%3.0453340272880000.0%094001
2Casey DeSmithHurricanesHurricanes512191.8%2.8125621121460000.0%049100
Team Total or Average1475191.0%2.9679061394340000.00001313101
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
1HurricanesIslanders1100000043121.00048120013003716101103578233133.33%4175.00%024147950.31%25651849.42%11021351.64%241622813660.0%10.8%91.4%102.2LUCKY
2HurricanesRangers1010000014-300.0001120010003581215036156185120.00%20100.00%024147950.31%25651849.42%11021351.64%24182171360.0%2.9%88.9%91.7Unlucky
3HurricanesDevils1100000031221.00035800111046141616026140174125.00%000.00%024147950.31%25651849.42%11021351.64%251722711666.7%6.5%96.2%102.7DULL
4HurricanesFlyers1000100054121.0005813001031471691933664298112.50%20100.00%024147950.31%25651849.42%11021351.64%271922814750.0%10.6%88.9%99.5FUN
5HurricanesBruins1100000030321.00034701111039102180301313233133.33%40100.00%124147950.31%25651849.42%11021351.64%2416227126100.0%7.7%100.0%107.7DULL
6HurricanesWild1010000034-100.000369001200265101103476212150.00%30100.00%024147950.31%25651849.42%11021351.64%221424813633.3%11.5%88.2%99.8FUN
7HurricanesAvalanche1010000023-100.0002460001101908110277625200.00%3166.67%024147950.31%25651849.42%11021351.64%241422713750.0%10.5%88.9%99.4FUN
8HurricanesKings1010000034-100.00035800111025910602213218100.00%000.00%024147950.31%25651849.42%11021351.64%231421715742.9%12.0%81.8%93.8FUN
9HurricanesStars1100000053221.0005914001220341551403362135360.00%000.00%024147950.31%25651849.42%11021351.64%251820713740.0%14.7%90.9%105.6FUN
10HurricanesDucks1100000063321.0006111700222030129904176212150.00%3166.67%024147950.31%25651849.42%11021351.64%201426713671.4%20.0%92.7%112.7LUCKY
11HurricanesSharks1010000014-300.000123000010142750398813200.00%40100.00%024147950.31%25651849.42%11021351.64%181125815720.0%7.1%89.7%96.9Unlucky
12HurricanesGolden Knights2000110066030.75061117002121691922244752716485120.00%8275.00%024147950.31%25651849.42%11021351.64%45295315271455.6%8.7%92.0%100.7DULL
_Vs Division421010001312160.750132235004441165544761313342188720420.00%8187.50%024147950.31%25651849.42%11021351.64%102718931522745.0%7.9%91.0%98.9Unlucky
_Vs Conference531010001612480.8001626420155512046468693163553111023521.74%12191.67%124147950.31%25651849.42%11021351.64%1268811238653350.0%7.8%92.6%100.5DULL
_Since Last GM Reset13550210042393150.5774274116011214142421126139149743413077269421126.19%33584.85%124147950.31%25651849.42%11021351.64%3072053061021778947.7%10.0%91.0%101.0FUN
Total13550210042393150.5774274116011214142421126139149743413077269421126.19%33584.85%124147950.31%25651849.42%11021351.64%3072053061021778947.7%10.0%91.0%101.0FUN

Puck Time
Offensive Zone 23
Neutral Zone 13
Defensive Zone 23
Puck Time
Offensive Zone Start 479
Neutral Zone Start 213
Defensive Zone Start 518
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 607
Faceoffs Lost 603
Team Average Shots after League Average Shots after
1st Period 9.710.69
2nd Period 20.421.35
3rd Period 31.832.03
Overtime 32.432.64
Goals in Team Average Goals after League Average Goals after
1st Period 0.91.08
2nd Period 2.02.13
3rd Period 3.12.97
Overtime 3.23.07
Even Strenght Goal 30
PP Goal 11
PK Goal 1
Empty Net Goal 0
Home Away
Win 43
Lost 14
Overtime Lost 01
PP Attempt 42
PP Goal 11
PK Attempt 33
PK Goal Against 5
Home
Shots For 32.4
Shots Against 33.4
Goals For 3.2
Goals Against 3.0
Hits 20.7
Shots Blocked 10.0
Pim 5.9