G · TBL · NHL id 8470147
Curtis McElhinney has appeared in 12 games for the Tampa Bay Lightning in 2020-21, starting 12, with a 4-6-2 record and .875 save percentage on 296 shots (37 goals against). Over his last 5 appearances he has stopped 98 of 113 (.867), starting 5 of them. In 2019-20 he went 8-7-3 with a .906 save percentage in 18 games.
Right now
Recent workload and form
Starts and workload
2020-21 · last 12 appearances, oldest first
- Start.958NSH · W
- Start.714FLA · L
- Start.969CAR · W
- Start.889CHI · O
- Start.773DET · L
- Start.880NSH · L
- Start.906FLA · W
- Start.900CBJ · L
- Start.682NSH · L
- Start.960CBJ · W
- Start1.000DET · O
- Start.839DAL · L
NHL EDGE tracking
Puck and player tracking
No NHL EDGE tracking data for this player yet. Edge covers 2021-22 onward and refreshes nightly.
Shots against
2020-21 · 390 unblocked attempts faced, 296 on goal, 37 goals
Shot map, OPP at TBL: 390 attempts, 296 on goal, 37 goals, 27.30 expected goals; best chance Michael Rasmussen at 0.51 xG.
- Even strength
- Power play
- Penalty kill
- Goal
- Shot on goal
- Missed
- Blocked
Beyond the box score
2020-21 regular season · 12 games through the sequence engine
| Class | SA | SV% | League | Diff |
|---|---|---|---|---|
| 17 | .706 | .775 | −6.9 pts | |
| 27 | .815 | .906 | −9.1 pts | |
| Cycle | 118 | .890 | .927 | −3.7 pts |
| Off the draw | 7 | 1.000 | .927 | +7.3 pts |
Unblocked save % .907 vs .936 expected from his shot mix: −2.86 pts (±2.88)
- Prevented /100
- +2.17
- Rebounds
- 14vs 19.6 exp.
- Rate
- 5.4%of 259 saves
A rebound is an opponent attempt within 3 seconds of a save. Expected rebounds use the shot-by-shot model; positive means fewer second chances than expected.
Game log
12 games in 2020-21, newest first
| Date | Opp | Result | DEC | SA | SV | GA | ||
|---|---|---|---|---|---|---|---|---|
| May 7 | vs DAL | L 2-5 | L | 31 | 26 | 5 | .839 | 59:40 |
| May 1 | @ DET | OTL 0-1 | O | 15 | 15 | 0 | 1.000 | 65:00 |
| Apr 22 | vs CBJ | W 3-1 | W | 25 | 24 | 1 | .960 | 60:00 |
| Apr 13 | @ NSH | L 2-7 | L | 22 | 15 | 7 | .682 | 60:00 |
| Mar 30 | vs CBJ | L 1-3 | L | 20 | 18 | 2 | .900 | 57:27 |
| Mar 21 | vs FLA | W 5-3 | W | 32 | 29 | 3 | .906 | 60:00 |
| Mar 15 | vs NSH | L 1-4 | L | 25 | 22 | 3 | .880 | 56:45 |
| Mar 11 | @ DET | L 4-6 | L | 22 | 17 | 5 | .773 | 57:42 |
| Mar 5 | @ CHI | OTL 3-4 | O | 27 | 24 | 3 | .889 | 65:00 |
| Feb 25 | vs CAR | W 3-1 | W | 32 | 31 | 1 | .969 | 59:57 |
| Feb 15 | vs FLA | L 4-6 | L | 21 | 15 | 6 | .714 | 57:48 |
| Feb 8 | @ NSH | W 4-1 | W | 24 | 23 | 1 | .958 | 60:00 |
Season splits by strength
2020-21 regular season · on-ice numbers from shift and play-by-play data
| Strength | GP | TOI/GP | SA | GA | CA/60 | ||
|---|---|---|---|---|---|---|---|
| All situations | 12 | 719:19 | 59:57 | 295 | 36 | .878 | 42.0 |
| Even strength | 12 | 569:24 | 47:27 | 231 | 28 | .879 | 40.5 |
| 5v5 | 12 | 550:38 | 45:53 | 224 | 28 | .875 | 40.2 |
| Power play | 12 | 78:35 | 6:33 | 14 | 1 | .929 | 13.0 |
| Penalty kill | 11 | 61:29 | 5:35 | 40 | 6 | .850 | 80.0 |
| 4v4 | 8 | 10:42 | 1:20 | 1 | 0 | 1.000 | 33.6 |
| 3v3 (OT) | 2 | 8:04 | 4:02 | 6 | 0 | 1.000 | 66.9 |
| 5v4 | 12 | 73:27 | 6:07 | 14 | 1 | .929 | 13.9 |
| 4v5 | 11 | 61:00 | 5:33 | 40 | 6 | .850 | 77.7 |
| 5v3 | 4 | 3:12 | 0:48 | 0 | 0 | — | 0.0 |
| 5v6, opponent net empty | 7 | 9:45 | 1:24 | 6 | 1 | .833 | 86.2 |
Career by season
Seasons in Edgehalla's data (2025-26 is being backfilled; earlier seasons follow)
| Season | Team | GP | GS | W-L-OTL | SA | SV | GA | GAA | |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | TBL | 12 | 12 | 4-6-2 | 296 | 259 | 37 | .875 | 3.09 |
| 2019-20 | TBL | 18 | 18 | 8-7-3 | 551 | 499 | 52 | .906 | 2.89 |
| 2018-19Playoffs | CAR | 5 | 4 | 3-2-0 | 128 | 119 | 9 | .930 | 2.01 |
| 2018-19 | CAR | 33 | 33 | 20-11-2 | 968 | 883 | 85 | .912 | 2.58 |
| 2017-18Playoffs | TOR | 1 | 0 | 0-1-0 | 23 | 19 | 4 | .826 | 5.07 |
| 2017-18 | TOR | 18 | 15 | 11-5-1 | 528 | 493 | 35 | .934 | 2.14 |
Curtis McElhinney news
- Today in Hockey History: May 1The Hockey Writers
Headlines via LineupExperts. Links open the original publisher.
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.
