Edgehalla
Danick Martel headshotTampa Bay Lightning logo

Tampa Bay Lightning

Danick Martel

#62Left Wing

2018-19 regular season
9
GP
0
G
2
A
2
P
16
SOG
0.0% SH
10:11
TOI/GP

LW · TBL · NHL id 8478365

Danick Martel has played 9 games for the Tampa Bay Lightning in 2018-19, scoring 0 goals and 2 assists (2 points) on 16 shots while averaging 10:11 a night (9:57 at even strength, 0:01 on the power play and 0:09 shorthanded). At 5v5 the Lightning have controlled 46% of shot attempts with Martel on the ice (4-1 in goals, 50% offensive-zone starts). In the Lightning's most recent game against BOS he was on L4 with Ryan Callahan and Adam Erne and off the power play; started killing penalties in the last game. He is shooting 0.0% this season against 0.0% across the 13 games in our data.

Right now

From the Apr 6 game vs BOS, detected from shift data

Power play
No PP unit
Penalty kill
PK2F
Yanni Gourde
Started killing penalties in the last gameLast 5: L3 · L4 · L4 · L3 · L4

Deployment timeline

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

Usage: 1 games, 13:20 average time on ice, PP1 in 0 games, 0 line changes.

PPLine40m3m7m10m13mFeb 25Feb 28Mar 5Mar 9Mar 14Mar 18Mar 21Mar 25Apr 1Apr 4
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
1 games shown, 13:20 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 · 26 attempts, 16 on goal, 0 goals

Shot map, OPP at TBL: 26 attempts, 16 on goal, 0 goals, 1.55 expected goals; best chance Danick Martel at 0.42 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

00.511.522.5-1.6goals below expected-1.4σNov 10Apr 6
  • Actual goals
  • Expected
  • ±1σ
  • Above expected
  • Below expected

Beyond the box score

2018-19 regular season · 9 of 9 games through the sequence engine

MethodLeaders
+0.044
Season net
+0.07xG

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

MethodLeaders
Per 60
2.01
Attempts
3
0.043

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

MethodLeaders
Season
−0.32G
Per 60
−0.211
Drawn / taken
2 / 4minors

MethodLeaders
57.6%
70.8%
57.8%
Transition CF/60
4.7
Turnovers won/60
16.1
Turnovers lost/60
18.8

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

MethodLeaders
  • More of his shots than the league
  • Fewer
16 shots on goal, 0 goals, all situations
AreaHis shareLeagueG
R Circle25%11%0
High Slot0%9%0
Center Point0%8%0
Low Slot31%24%0
L Circle19%11%0
R Point0%7%0
Crease6%1%0

Linemates

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

No 5v5 pairing data this season yet.

Game log

9 games in 2018-19, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Apr 6@ BOSW 6-3000-11020—13:2011:58—1:22
Feb 19@ PHIW 5-200003201100%10:2710:110:09—
Feb 12vs CGYW 6-3011+10020—10:2110:21——
Jan 10vs CARW 3-100000010—7:327:32——
Jan 8vs CBJW 4-0000+13010—12:3512:13——
Dec 22@ EDMW 6-300003010—9:119:08——
Dec 20@ CGYW 5-400002000—9:079:07——
Dec 18@ VANW 5-2011+21420—6:576:57——
Nov 10vs OTTL 4-6000032300%12:0612:06——

Season splits by strength

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

StrengthGPTOI/GPSAGFGAGF%
All situations991:3610:11718744.9%46.6%39474180%3.42.650%
Even strength989:339:57718445.8%47.4%39454180%3.42.550%
5v5989:339:57718445.8%47.4%39454180%3.42.550%
Power play10:090:09010.0%—0000—0.00.0—
Penalty kill11:221:22020.0%0.0%0200—0.00.2—

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2018-19TBL9022+38160.0%12110:11
2017-18PHI4000-1060.0%2910:13

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.