Edgehalla
Nick Lappin headshotNew Jersey Devils logo

New Jersey Devils

Nick Lappin

#15Right Wing

2018-19 regular season
11
GP
0
G
0
A
0
P
11
SOG
0.0% SH
13:41
TOI/GP

RW · NJD · NHL id 8479250

Nick Lappin has played 11 games for the New Jersey Devils in 2018-19, scoring 0 goals and 0 assists (0 points) on 11 shots while averaging 13:41 a night (12:16 at even strength, 1:12 on the power play and 0:04 shorthanded). At 5v5 the Devils have controlled 40% of shot attempts with Lappin on the ice (1-5 in goals, 61% offensive-zone starts). In the Devils' most recent game against COL he was on L3 with Drew Stafford and Blake Pietila and off the power play; lost his PP2 spot in the last game. He is shooting 0.0% this season against 5.6% across the 17 games in our data.

Right now

From the Mar 17 game vs COL, detected from shift data

Power play
No PP unit
Penalty kill
No PK unit
Lost his PP2 spot in the last gameLast 5: L2/PP2 · L3/PP2 · L3 · L3 · L3

Deployment timeline

2018-19 · per-game ice time by strength, with line and power-play unit changes

Usage: 11 games, 13:32 average time on ice, PP1 in 1 games, 5 line changes.

PPLine43▲4▲11▼3▲2▲3▼3▼330m3m7m10m13m17m20mFeb 10Feb 14Feb 17Feb 21Feb 25Mar 1Mar 5Mar 9Mar 13Mar 17
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
11 games shown, 13:32 average. Line and PP unit come from where the player's ice time ranks among his teammates that night.

NHL EDGE tracking

Puck and player tracking

Source: NHL EDGE

No NHL EDGE tracking data for this player yet. Edge covers 2021-22 onward and refreshes nightly.

Shot map

2018-19 · 23 attempts, 11 on goal, 0 goals

Shot map, OPP at NJD: 23 attempts, 11 on goal, 0 goals, 0.85 expected goals; best chance Nick Lappin at 0.17 xG.

  • Even strength
  • Power play
  • Penalty kill
  • Goal
  • Shot on goal
  • Missed
  • Blocked
Every attempt (goals, shots, misses and blocks), attacking toward the right (or the top on phones).

Puck luck

2018-19 · cumulative goals against expected goals from his own shots

00.511.5-0.8goals below expected-1.0σFeb 10Mar 17
  • Actual goals
  • Expected
  • ±1σ
  • Above expected
  • Below expected

Beyond the box score

2018-19 regular season · 11 of 11 games through the sequence engine

MethodLeaders
+0.013
Season net
+0.03xG

5-on-5. Each takeaway is credited, and each giveaway charged, at the league xG value of the zone.

MethodLeaders
Per 60
0.45
Attempts
1
0.000

5-on-5 shots within 10 seconds of winning the puck outside the offensive zone.

MethodLeaders
Season
+0.00G
Per 60
+0.000
Drawn / taken
0 / 0minors

MethodLeaders
34.8%
37.0%
34.9%
Transition CF/60
2.7
Turnovers won/60
22.0
Turnovers lost/60
14.8

5-on-5 while he is on the ice.

Linemates

2018-19 · 5v5 time together and how each pairing performs with and without Lappin

No 5v5 pairing data this season yet.

Game log

11 games in 2018-19, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Mar 17@ COLL 0-300000000100%10:5410:54——
Mar 12@ CGYL 4-9000-20010—14:3014:130:030:09
Mar 9@ NYRL 2-400000030—10:0610:06——
Mar 8@ WSHL 0-300002010100%14:3310:323:540:07
Mar 5vs CBJOTL 1-2000030100%17:0915:091:12—
Mar 2@ BOSL 0-100000020—14:0412:371:24—
Mar 1vs PHIL 3-6000-13010—15:1914:36—0:20
Feb 27vs CGYL 1-2000-11031—17:1914:502:07—
Feb 14@ CHIL 2-5000-22020—12:2510:421:38—
Feb 12@ STLL 3-800000022100%14:0113:54—0:07
Feb 10vs CARW 3-200000000—10:147:212:53—

Season splits by strength

2018-19 regular season · on-ice numbers from shift and play-by-play data

StrengthGPTOI/GPSAGFGAGF%
All situations11150:3413:4110514342.3%39.2%49842722%4.28.066%
Even strength11134:5412:169313740.4%38.2%45791517%3.76.761%
5v511133:4312:099213640.4%38.1%44781517%3.56.561%
Power play713:111:5312380.0%75.0%4210100%0.50.2100%
Penalty kill40:430:1100——0000—0.00.0—
5v4713:111:5312380.0%75.0%4210100%0.50.2100%

Career by season

Seasons in Edgehalla's data (2025-26 is being backfilled; earlier seasons follow)

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2018-19NJD11000-60110.0%16313:41
2017-18NJD6101+24714.3%829:46

On-ice and deployment numbers are derived by Edgehalla from NHL play-by-play and shift data. Tracking percentiles are from NHL EDGE. Data updates after every game.