G · NYR · NHL id 8471715
Ondrej Pavelec has appeared in 19 games for the New York Rangers in 2017-18, starting 12, with a 4-9-1 record and .910 save percentage on 510 shots (46 goals against). Over his last 5 appearances he has stopped 112 of 124 (.903), starting 3 of them.
Right now
Recent workload and form
Starts and workload
2017-18 · last 19 appearances, oldest first
- Relief.875TOR · L
- Start.842NJD · L
- Start.931ARI · W
- Start.884MTL · L
- Relief.875CHI
- Relief.905FLA · L
- Start.932PIT · W
- Start.978DAL · O
- Start1.000WSH · W
- Start.941VGK · L
- Start.737NYI · L
- Relief.913ANA · L
- Start.821SJS · W
- Relief1.000TOR
- Relief.889BOS
- Start.875CGY
- Relief.963WSH
- Start.878TBL · L
- Start.909NYI · 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
Last 10 games · 341 unblocked attempts faced, 247 on goal, 26 goals
Shot map, OPP at NYR: 341 attempts, 247 on goal, 26 goals, 26.56 expected goals; best chance Andrew Cogliano at 0.72 xG.
- Even strength
- Power play
- Penalty kill
- Goal
- Shot on goal
- Missed
- Blocked
Beyond the box score
2017-18 regular season · 19 games through the sequence engine
| Class | SA | SV% | League | Diff |
|---|---|---|---|---|
| 32 | .594 | .737 | −14.3 pts | |
| 56 | .893 | .920 | −2.7 pts | |
| Cycle | 201 | .925 | .921 | +0.4 pts |
| Off the draw | 12 | 1.000 | .940 | +6.0 pts |
Unblocked save % .934 vs .936 expected from his shot mix: −0.14 pts (±1.84)
- Prevented /100
- −0.60
- Rebounds
- 31vs 28.2 exp.
- Rate
- 6.7%of 464 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
19 games in 2017-18, newest first
| Date | Opp | Result | DEC | SA | SV | GA | ||
|---|---|---|---|---|---|---|---|---|
| Apr 5 | @ NYI | L 1-2 | L | 22 | 20 | 2 | .909 | 58:35 |
| Mar 30 | vs TBL | L 3-7 | L | 49 | 43 | 6 | .878 | 59:29 |
| Mar 26 | vs WSH | L 2-4 | RL | 27 | 26 | 1 | .963 | 48:42 |
| Feb 9 | vs CGY | W 4-3 | — | 8 | 7 | 1 | .875 | 19:50 |
| Feb 7 | vs BOS | L 1-6 | RL | 18 | 16 | 2 | .889 | 32:35 |
| Feb 1 | vs TOR | L 0-4 | RL | 19 | 19 | 0 | 1.000 | 36:55 |
| Jan 25 | @ SJS | W 6-5 | W | 28 | 23 | 5 | .821 | 60:00 |
| Jan 23 | @ ANA | L 3-6 | L | 23 | 21 | 2 | .913 | 42:49 |
| Jan 13 | vs NYI | L 2-7 | L | 19 | 14 | 5 | .737 | 26:51 |
| Jan 7 | @ VGK | L 1-2 | L | 34 | 32 | 2 | .941 | 58:01 |
| Dec 27 | vs WSH | W 1-0 | W | 30 | 30 | 0 | 1.000 | 65:00 |
| Dec 11 | vs DAL | OTL 1-2 | O | 45 | 44 | 1 | .978 | 65:00 |
| Dec 5 | @ PIT | W 4-3 | W | 44 | 41 | 3 | .932 | 60:00 |
| Nov 28 | vs FLA | L 4-5 | L | 21 | 19 | 2 | .905 | 42:22 |
| Nov 15 | @ CHI | L 3-6 | RL | 8 | 7 | 1 | .875 | 13:15 |
| Oct 28 | @ MTL | L 4-5 | L | 43 | 38 | 5 | .884 | 58:31 |
| Oct 26 | vs ARI | W 5-2 | W | 29 | 27 | 2 | .931 | 59:56 |
| Oct 14 | vs NJD | L 2-3 | L | 19 | 16 | 3 | .842 | 57:17 |
| Oct 7 | @ TOR | L 5-8 | L | 24 | 21 | 3 | .875 | 38:34 |
Season splits by strength
2017-18 regular season · on-ice numbers from shift and play-by-play data
| Strength | GP | TOI/GP | SA | GA | CA/60 | ||
|---|---|---|---|---|---|---|---|
| All situations | 19 | 903:42 | 47:34 | 510 | 46 | .910 | 61.1 |
| Even strength | 19 | 753:43 | 39:40 | 421 | 33 | .922 | 61.4 |
| 5v5 | 19 | 732:27 | 38:33 | 408 | 33 | .919 | 61.6 |
| Power play | 17 | 73:55 | 4:21 | 11 | 3 | .727 | 13.8 |
| Penalty kill | 17 | 71:05 | 4:11 | 71 | 9 | .873 | 101.3 |
| 4v4 | 6 | 11:41 | 1:57 | 6 | 0 | 1.000 | 41.1 |
| 3v3 (OT) | 2 | 9:35 | 4:48 | 7 | 0 | 1.000 | 68.9 |
| 5v4 | 17 | 73:30 | 4:19 | 11 | 3 | .727 | 13.9 |
| 4v5 | 17 | 69:33 | 4:05 | 67 | 8 | .881 | 100.1 |
| 5v6, opponent net empty | 6 | 4:59 | 0:50 | 7 | 1 | .857 | 156.5 |
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 | |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | NYR | 19 | 12 | 4-9-1 | 510 | 464 | 46 | .910 | 3.05 |
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.