New Jersey Devils
22-38-2, 46pts
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
1Cole Perfetti Devils C/LW62173552-246074137309312.41%1419.46412161360001233029.78%145400000.8600
2Luke Evangelista Devils RW62202646-1012027159309112.58%819.1993121230001024015.59%18600010.7700
3Jaden Schwartz Devils LW44172845-1120241334812912.78%916.05381152000561037.74%62800101.2700
4Marco Kasper (R) Devils C62212344-152801211694412112.43%917.57426127000121249.43%97100000.8100
5Yegor Chinakhov Devils RW62182543-24235761805110810.00%818.456814134000553133.73%8300000.7500
6Andreas Athanasiou Devils C/LW/RW57191938-1521580119379315.97%1415.4221347000231355.65%11500000.8600
7Adam Wilsby (R) Devils D6262632-152607754253911.11%11221.421456800010201-%000000.4800
8Ethan Bear Devils D6152227-359513344143411.36%8921.581348500011500-%000000.4100
9Zachary Bolduc Devils LW47101121-19401111036689.09%813.9924669000151140.00%5500000.6400
10Carson Soucy Devils D4421820-22340984315354.65%7720.97224570007900-%000000.4300
11Juuso Parssinen Devils C3961420-131805844143913.64%516.001101162000721042.23%77900000.6400
12Riley Tufte Devils LW6010919-9942011097216010.31%913.3200010000411038.54%38400000.4800
13Ryan Graves Devils D4951318-283008346194110.87%9921.86123710008720-%000000.3400
14Dominik Kubalik Devils LW/RW598917-100289022808.89%711.8721334000962129.33%7500000.4900
15Christian Fischer Devils RW6251015-16180658030656.25%912.180116000100039.84%25600000.4000
16Pierre Engvall Devils (NJD) LW/RW4021113-520105316343.77%210.94000100000036.78%8700000.5900
17Zachary Jones Devils D4011011-9200643514342.86%7721.41033900008910-%000000.2600
18Marcus Bjork Devils D622911-1872201362510218.00%6020.0702210500011700-%000000.1800
19Fraser Minten (R) Devils (NJD) C2755104202049183410.20%510.13000700071145.00%6000000.7300
20Calle Rosen Devils D19156-51553411299.09%2715.85022260002500-%000000.4000
21Jonny Brodzinski Devils (NJD) RW25516-400930102516.67%29.77000300010044.83%2900000.4900
22Seamus Casey (R) Devils D13123-400715486.67%2219.97101260002200-%000000.2300
23Mitchell Stephens Devils C42011-4408153110.00%44.400003000400056.37%20400000.1100
24Reid Schaefer (R) Devils LW13101100843225.00%04.26000000000060.00%500000.3600
25Kyle Burroughs Devils D200000001010.00%18.510002000000-%000000.0000
26Avery Hayes (R) Devils C/RW10000000000-%00.000000000000-%00000-00
Moyenne d'équipe1116187332519-2595006013611743516127510.73%67716.36396810713550001302221038.80%537100110.5700
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

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# 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
1Ben Kraws Devils 2681510.8904.2113976098887012-0263101
2Damian Clara Devils 207810.9063.5010290060636010-01622220
3Adam Scheel Devils 135500.9113.655432033370000-0628000
4Colton Point Devils 1421000.8894.257490053476020-0149000
Moyenne d'équipe73223820.8973.943720802442369042 0.00006262321
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
1SabresSabres3300000014861426400084207339151901102221591037007561883931242739710531.00030.00%100.00%40.15%38.36%37.70%61407823401857.9%19.2%92.7%111.9LUCKY
2BruinsBruins41201000121341221330054211163745322141311883929107561883931242739710530.50022.22%88.89%40.15%38.36%37.70%896010130522445.5%10.3%90.8%101.1FUN
3RangersRangers31200000111321118290032601043629390108261972606207561883931242739710530.3330.00%66.67%40.15%38.36%37.70%65467622381850.0%10.6%88.0%98.5FUN
4PredatorsPredators10100000260246000110297148056152731205207561883931242739710530.0000.00%60.00%40.15%38.36%37.70%201228711533.3%6.9%89.3%96.2Unlucky
5Red WingsRed Wings413000001314213243700571013152443501264740891339307561883931242739710530.25023.08%66.67%40.15%38.36%37.70%90629929492547.6%9.9%88.9%98.8FUN
6JetsJets2020000027024600011039151014077271846118207561883931242739710530.000100.00%75.00%40.15%38.36%37.70%35235915251016.7%5.1%90.9%96.0Unlucky
7HurricanesHurricanes4040000082108152310422098354122014339338513213607561883931242739710530.00015.38%53.85%40.15%38.36%37.70%775011032522328.6%8.2%85.3%93.5Unlucky
8CapitalsCapitals30300000913091625005310954031240103361884719307561883931242739710530.00014.29%66.67%40.15%38.36%37.70%56388521381744.4%9.5%87.4%96.9FUN
9CanadiensCanadiens220000009649152400612056201818067141628318107561883931242739710531.00033.33%87.50%40.15%38.36%37.70%40275316261161.5%16.1%91.0%107.1FUN
10LightningLightning4040000011240112031003530100323929015240418610017507561883931242739710530.0000.00%70.59%40.15%38.36%37.70%764811030532436.7%11.0%84.2%95.2FUN
11FlyersFlyers4210100017156173148004841126334646116158327911316307561883931242739710530.75027.27%81.25%40.15%38.36%37.70%805110931512353.8%13.5%90.7%104.2FUN
12Black HawksBlack Hawks11000000212235000020281210603412414602107561883931242739710531.0000.00%50.00%40.15%38.36%37.70%2215248126100.0%7.1%97.1%104.2DULL
13AvalancheAvalanche101000004804711003010301361105312832313107561883931242739710530.00033.33%66.67%40.15%38.36%37.70%201427711530.0%13.3%84.9%98.2FUN
14SenateursSenateurs413000008192815230032309537312701774834788317407561883931242739710530.25037.50%76.47%40.15%38.36%37.70%734611531512325.0%8.4%89.3%97.7Unlucky
15Maple LeafsMaple Leafs2000020081028152300215058191126271141435937107561883931242739710530.50033.33%85.71%40.15%38.36%37.70%40265616251235.7%13.8%85.9%99.7FUN
16CanucksCanucks1100000031235800210029512120388828314007561883931242739710531.00033.33%100.00%40.15%38.36%37.70%221424812566.7%10.3%97.4%107.7LUCKY
17WildWild1010000035034700210029111170398222101007561883931242739710530.0000.00%100.00%40.15%38.36%37.70%191325714737.5%10.3%87.2%97.5FUN
18BluesBlues1010000023023500101036812160438823004207561883931242739710530.0000.00%50.00%40.15%38.36%37.70%241722612566.7%5.6%93.0%98.6DULL
19KingsKings1100000032235800102026871103510215401007561883931242739710531.0000.00%100.00%40.15%38.36%37.70%191225814760.0%11.5%94.3%105.8LUCKY
20StarsStars110000005325712001220287129043161033205207561883931242739710531.0000.00%60.00%40.15%38.36%37.70%181128712683.3%17.9%93.0%110.9LUCKY
21FlamesFlames1010000045048120011202597904813421111107561883931242739710530.000100.00%0.00%40.15%38.36%37.70%201427612542.9%16.0%89.6%105.6FUN
22PanthersPanthers4040000092109162500612010038283401564752648315307561883931242739710530.00037.50%80.00%40.15%38.36%37.70%744911429502225.0%9.0%86.5%95.5FUN
23IslandersIslanders4130000010132101828105320109403435015557379812210107561883931242739710530.25016.67%90.00%40.15%38.36%37.70%835510431522540.0%9.2%91.6%100.8LUCKY
24PenguinsPenguins53200000141461425390064401575448550194583413020616207561883931242739710530.60030.00%87.50%40.15%38.36%37.70%1036613139653140.0%8.9%92.8%101.7LUCKY
25KrakenKraken11000000412471100211026127704111826434007561883931242739710531.00075.00%100.00%40.15%38.36%37.70%191127713550.0%15.4%97.6%112.9LUCKY
_Vs Division23715010006989166912319220272219168923822922118642741735486914701707561883931242739710530.34820.29%75.71%40.15%38.36%37.70%46630861717929714043.3%10.0%89.7%99.7FUN
_Vs Conference50153102200153204361532754282065473921418512460441518645374091070139321593507561883931242739710530.36023.02%77.99%40.15%38.36%37.70%1013671134638564730341.7%10.8%89.1%99.8FUN
_Since Last GM Reset62203802200187246461873325192078555221743619568551523716775081361166391974607561883931242739710530.37123.49%76.65%40.15%38.36%37.70%1257832166747780137342.5%10.7%89.6%100.4FUN
Total62203802200187246461873325192078555221743619568551523716775081361166391974607561883931242739710530.37123.49%76.65%40.15%38.36%37.70%1257832166747780137342.5%10.7%89.6%100.4FUN

Puck Time
Offensive Zone 20
Neutral Zone 12
Defensive Zone 26
Puck Time
Offensive Zone Start 1883
Neutral Zone Start 1053
Defensive Zone Start 2427
Puck Time
With Puck 27
Without Puck 32
Faceoffs
Faceoffs Won 2084
Faceoffs Lost 3279
Team Average Shots after League Average Shots after
1st Period 10.09.57
2nd Period 19.120.31
3rd Period 28.030.68
Overtime 28.131.4
Goals in Team Average Goals after League Average Goals after
1st Period10.09.57
2nd Period19.120.31
3rd Period28.030.68
Overtime28.131.4
Even Strength Goal146
PP Goal39
PK Goal0
Empty Net Goal2
Home Away
Win 139
Lost 1820
Overtime Lost 02
Win139
Lost1820
Overtime Lost02
Home
Shots For28.1
Shots Against38.2
Goals For3.0
Goals Against4.0
Hits22.0
Shots Blocked10.9
Pim8.2