New Jersey Devils
22-47-7, 51pts
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
1Tyler SeguinDevilsDevilsC/RW763541766180992929620811.99%1019.0910919217101723156.37%190700001.0503
2Luke EvangelistaDevilsDevilsRW761939586100311796115010.61%617.732121420300013426.32%9500010.8600
3Kevin FialaDevilsDevilsLW/RW76252954-4320116304741838.22%919.67411152140001415133.33%13500000.7213
4Brandon SaadDevilsDevilsLW/RW76232649-660322256616210.22%916.58751214400003225.69%10900010.7813
5Ryan GravesDevilsDevilsD76103848-1544011212738997.87%12722.8351116196011162010.00%000000.5500
6Carson SoucyDevilsDevilsD76133447-115810128111406811.71%11522.625914189011179100.00%000100.5500
7Ivan ProvorovDevilsDevilsD7583038-2822010411243917.14%16823.86549195011176010.00%000000.4200
8Max DomiDevilsDevilsC/LW6882533-1145515211531816.96%918.34099145000470046.85%136400000.5300
9Zachary Bolduc (R)DevilsDevilsLW531414285803298317214.29%1116.953259700000034.94%8300000.6200
10Ethan BearDevilsDevilsD7051217-21220735922358.47%7818.7921310100086100.00%000000.2600
11Pierre EngvallDevilsDevilsLW/RW7671017-32803010031717.00%1211.86112371011091034.43%6100000.3800
12Cole PerfettiDevilsDevilsC/LW497916-1220148831897.95%414.790112800000038.98%29500000.4400
13Juuso ParssinenDevilsDevilsC518614-221607970285711.43%914.641343800003044.51%85600000.3800
14Ty DellandreaDevilsDevilsC7531114-8100406320444.76%128.22022470001360045.69%73100000.4500
15Christian FischerDevilsDevilsRW564913115549428429.52%910.540002000550044.05%8400000.4400
16Dominik KubalikDevilsDevilsLW/RW766511-2240499433856.38%711.4902255000140052.08%4800000.2500
17Blake WheelerDevilsDevilsC/RW746511-3433154310332875.83%1213.5000036000861043.60%61700000.2200
18Calle RosenDevilsDevilsD6611011-123810852910263.45%7618.011125400034000.00%000000.1900
19Marcus Bjork (R)DevilsDevilsD62189-67210126223204.55%6617.06000100009000.00%000000.1700
20Tomas TatarDevilsDevils (NJD)LW44066-1060174714260.00%08.060001100030028.89%4500000.3400
21Jacob MacDonaldDevilsDevils (NJD)D11123-613514102710.00%1318.30112160007000.00%000000.3000
22Jonny BrodzinskiDevilsDevils (NJD)RW400000012000.00%16.0500010000000.00%100000.0000
23Riley TufteDevilsDevils (NJD)LW200000000000.00%00.0000000000000.00%000000.0000
Moyenne d'équipe1368204369573-242482601426229271417038.90%76316.47478413120462351326211047.21%643100120.5129
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
1Ben KrawsDevilsDevils30101240.9133.16151900809220010.66732525320
2Jack CampbellDevilsDevils3481920.9063.321792209910490300.66763118140
3Adam ScheelDevilsDevils2341310.9003.54105001626170010.00001731210
4Colton PointDevilsDevils40300.8933.5621900131210000.000032000
Moyenne d'équipe 912247 7 0.9063.3345812125427090320.66797676670
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
1SabresSabres422000001410440.500142640005540149386051010543187416531.25%8362.50%01148247046.48%1313274147.90%575118248.65%90629928492356.3%9.4%90.5%99.9FUN
2BruinsBruins413000001113-220.25011223300533012842414501313727701000.00%11372.73%01148247046.48%1313274147.90%575118248.65%92649728502552.4%8.6%90.1%98.7Unlucky
3RangersRangers50500000715-800.000711181022301253747410188662093900.00%90100.00%11148247046.48%1313274147.90%575118248.65%1097312636633131.8%5.6%92.0%97.6DULL
4PredatorsPredators1010000012-100.0001230000101992803610620100.00%3166.67%01148247046.48%1313274147.90%575118248.65%201326812650.0%5.3%94.4%99.7DULL
5Red WingsRed Wings411001101715250.625172744003582147316052712340207415746.67%10280.00%01148247046.48%1313274147.90%575118248.65%946510030522643.5%11.6%87.8%99.4FUN
6JetsJets2020000048-400.0004711001210491513210842714348337.50%7357.14%01148247046.48%1313274147.90%575118248.65%39255315261316.7%8.2%90.5%98.6Unlucky
7HurricanesHurricanes41300000812-420.25081624002420122364145012938167219315.79%8187.50%01148247046.48%1313274147.90%575118248.65%855810330512431.3%6.6%90.7%97.3Unlucky
8CapitalsCapitals40400000716-900.00071320003310126373752012926258614321.43%10280.00%01148247046.48%1313274147.90%575118248.65%885910230492222.2%5.6%87.6%93.2Unlucky
9CanadiensCanadiens422000001211140.50012193100561012446423601524130858225.00%15380.00%01148247046.48%1313274147.90%575118248.65%89609828522755.6%9.7%92.8%102.4LUCKY
10LightningLightning412000011015-530.37510192900721093343026616353228513215.38%10460.00%01148247046.48%1313274147.90%575118248.65%875810630502442.1%10.8%90.8%101.6FUN
11FlyersFlyers623000011619-350.4171628440176301836953595250647113210110.00%22577.27%01148247046.48%1313274147.90%575118248.65%1349115343773651.7%8.7%92.4%101.1DULL
12Black HawksBlack Hawks2100010076130.75071421001330692918211781212468225.00%60100.00%01148247046.48%1313274147.90%575118248.65%43305313241145.5%10.1%92.3%102.5LUCKY
13AvalancheAvalanche1010000002-200.0000000000002381050427418400.00%20100.00%01148247046.48%1313274147.90%575118248.65%20132591360.0%0.0%95.2%95.2DULL
14DucksDucks1010000025-300.0002460002002661460441010202150.00%5180.00%01148247046.48%1313274147.90%575118248.65%201426712520.0%7.7%88.6%96.3Unlucky
15OilersOilers1010000036-300.00036900300027912604213615100.00%30100.00%01148247046.48%1313274147.90%575118248.65%201326712633.3%11.1%85.7%96.8FUN
16SenateursSenateurs422000001311240.500132437005440102452433014028307913323.08%10460.00%01148247046.48%1313274147.90%575118248.65%865810229512558.8%12.7%92.1%104.9LUCKY
17Maple LeafsMaple Leafs3110010089-130.500816241041308227322301123524409222.22%10190.00%01148247046.48%1313274147.90%575118248.65%58388323391742.9%9.8%92.0%101.7LUCKY
18CanucksCanucks1010000046-200.000461000121024812404091416300.00%6266.67%01148247046.48%1313274147.90%575118248.65%201326813550.0%16.7%85.0%101.7FUN
19WildWild1010000034-100.000358001110421411170288422400.00%2150.00%01148247046.48%1313274147.90%575118248.65%251721712750.0%7.1%85.7%92.9Unlucky
20BluesBlues1010000023-100.0002460002004616151503611418400.00%2150.00%01148247046.48%1313274147.90%575118248.65%241824710550.0%4.3%91.7%96.0DULL
21KingsKings1100000032121.000347001200279117034741311100.00%20100.00%01148247046.48%1313274147.90%575118248.65%201426712550.0%11.1%94.1%105.2LUCKY
22Golden KnightsGolden Knights1100000051421.0005101500212041171590257493133.33%110.00%01148247046.48%1313274147.90%575118248.65%2216247126100.0%12.2%96.0%108.2LUCKY
23StarsStars1100000031221.0003690000302612680267719100.00%10100.00%01148247046.48%1313274147.90%575118248.65%201426712575.0%11.5%96.2%107.7LUCKY
24FlamesFlames1000010056-110.5005101500131038111311344184233266.67%20100.00%01148247046.48%1313274147.90%575118248.65%251726813633.3%13.2%86.4%99.5FUN
25PanthersPanthers40400000919-1000.0009152400342011848353501553721641800.00%8275.00%01148247046.48%1313274147.90%575118248.65%805210830512434.6%7.6%87.7%95.4Unlucky
26IslandersIslanders412010001113-240.500111829003161128444142111328116710220.00%3166.67%01148247046.48%1313274147.90%575118248.65%95679527512542.9%8.6%88.5%97.1Unlucky
27PenguinsPenguins614010001623-740.3331630460073511765568521220665211729620.69%20765.00%11148247046.48%1313274147.90%575118248.65%1268215447783738.5%9.1%89.5%98.6FUN
28KrakenKraken1000010045-110.50047110020203261015142154155120.00%2150.00%01148247046.48%1313274147.90%575118248.65%221525713742.9%12.5%88.1%100.6FUN
_Vs Division29521020016598-33150.2596511618111241920286027828729171029288195567911516.48%721677.78%21148247046.48%1313274147.90%575118248.65%63943473621537117637.9%7.6%90.5%98.0Unlucky
_Vs Conference60153802212159201-42400.333159284443216149464180358961159220211060238711381933618.65%1543875.32%21148247046.48%1313274147.90%575118248.65%1319894153144576937143.0%8.8%90.5%99.3Unlucky
_Since Last GM Reset76194702512205258-53510.336205369574217467614229275877374525271176348414262414719.50%1984975.25%21148247046.48%1313274147.90%575118248.65%16671134194656897447143.1%8.9%90.5%99.4Unlucky
Total76194702512205258-53510.336205369574217467614229275877374525271176348414262414719.50%1984975.25%21148247046.48%1313274147.90%575118248.65%16671134194656897447143.1%8.9%90.5%99.4Unlucky

Puck Time
Offensive Zone 21
Neutral Zone 12
Defensive Zone 25
Puck Time
Offensive Zone Start 2470
Neutral Zone Start 1182
Defensive Zone Start 2741
Puck Time
With Puck 28
Without Puck 31
Faceoffs
Faceoffs Won 3036
Faceoffs Lost 3357
Team Average Shots after League Average Shots after
1st Period 10.09.57
2nd Period 20.120.31
3rd Period 29.930.68
Overtime 30.331.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.00.64
2nd Period 1.91.65
3rd Period 2.72.67
Overtime 2.72.83
Even Strenght Goal 154
PP Goal 47
PK Goal 2
Empty Net Goal 2
Home Away
Win 166
Lost 2027
Overtime Lost 34
PP Attempt 241
PP Goal 47
PK Attempt 198
PK Goal Against 49
Home
Shots For 30.2
Shots Against 35.7
Goals For 2.7
Goals Against 3.4
Hits 18.8
Shots Blocked 10.0
Pim 6.4