C · PHI · NHL id 8470775
Nate Thompson has played 33 games for the Philadelphia Flyers in 2021-22, scoring 1 goal and 2 assists (3 points) on 23 shots while averaging 11:58 a night (9:33 at even strength, 0:05 on the power play and 2:09 shorthanded). At 5v5 the Flyers have controlled 42% of shot attempts with Thompson on the ice (8-21 in goals, 31% offensive-zone starts). In the Flyers' most recent game against OTT he was on L4 with Oskar Lindblom and Zack MacEwen and off the power play. He is shooting 4.3% this season against 7.2% across the 306 games in our data.
Right now
From the Apr 29 game vs OTT, detected from shift data
Deployment timeline
2021-22 · per-game ice time by strength, with line and power-play unit changes
Usage: 14 games, 12:14 average time on ice, PP1 in 0 games, 4 line changes.
- Even strength
- Power play
- Penalty kill
- 5-game average
- Did not play
- ▲ promoted · ▼ demoted
NHL EDGE tracking
2021-22 percentiles among skaters at his position
Season-level NHL EDGE puck and player tracking, refreshed nightly. The percentile is the league rank among skaters this season; the label at the right is the raw value.
Shot map
2021-22 · 41 attempts, 23 on goal, 1 goal
Shot map, OPP at PHI: 41 attempts, 23 on goal, 1 goal, 2.73 expected goals; best chance Nate Thompson at 0.30 xG.
- Even strength
- Power play
- Penalty kill
- Goal
- Shot on goal
- Missed
- Blocked
Puck luck
2021-22 · cumulative goals against expected goals from his own shots
- Actual goals
- Expected
- ±1σ
- Above expected
- Below expected
Beyond the box score
2021-22 regular season · 33 of 33 games through the sequence engine
- −0.001
- Season net
- −0.00xG
5-on-5. Each takeaway is credited, and each giveaway charged, at the league xG value of the zone.
- Per 100 draws
- +0.078
- Season
- +0.22G
- 55.7%287 draws
Wins by zone: OZ 27-22 · NZ 52-37 · DZ 81-68
- Per 60
- 0.57
- Attempts
- 3
- 0.019
5-on-5 shots within 10 seconds of winning the puck outside the offensive zone.
Role changes
Notable promotions, demotions and ice-time swings from Line Watch
- Moved up to L3 from L4May 14, 2021 alerts →
Linemates
2021-22 · 5v5 time together and how each pairing performs with and without Thompson
No 5v5 pairing data this season yet.
Game log
33 games in 2021-22, newest first
| Date | Opp | Result | G | A | P | +/- | PIM | HIT | BLK | EV | PP | PK | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Apr 29 | vs OTT | L 2-4 | 0 | 0 | 0 | -1 | 1 | 0 | 2 | 0 | 64% | 10:48 | 7:53 | — | 2:29 |
| Apr 27 | @ WPG | L 0-4 | 0 | 0 | 0 | -1 | 1 | 2 | 2 | 0 | 63% | 12:50 | 9:44 | 0:33 | 2:33 |
| Apr 25 | @ CHI | L 1-3 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 68% | 14:38 | 9:11 | — | 5:27 |
| Apr 24 | vs PIT | W 4-1 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 4 | 67% | 12:23 | 8:54 | — | 2:04 |
| Apr 21 | @ MTL | W 6-3 | 0 | 0 | 0 | +2 | 0 | 0 | 0 | 2 | 54% | 13:40 | 11:53 | 0:21 | 1:26 |
| Apr 19 | @ TOR | L 2-5 | 0 | 0 | 0 | 0 | 2 | 0 | 3 | 2 | 64% | 12:58 | 10:32 | — | 2:26 |
| Apr 17 | vs BUF | L 3-5 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 0 | 42% | 11:29 | 9:36 | 0:16 | 1:37 |
| Apr 16 | @ BUF | L 3-4 | 0 | 0 | 0 | -1 | 1 | 0 | 0 | 0 | 62% | 9:24 | 7:09 | — | 1:57 |
| Apr 12 | @ WSH | L 2-9 | 0 | 0 | 0 | -4 | 1 | 0 | 1 | 1 | 64% | 13:49 | 10:52 | — | 2:57 |
| Apr 9 | vs ANA | L 3-5 | 0 | 1 | 1 | -1 | 5 | 0 | 1 | 2 | 43% | 11:40 | 10:14 | 0:04 | 1:18 |
| Apr 7 | @ CBJ | W 4-1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 100% | 10:55 | 10:02 | — | 0:53 |
| Apr 5 | vs CBJ | L 2-4 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 67% | 11:26 | 10:11 | 0:04 | 1:11 |
| Apr 3 | @ NYR | W 4-3 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 0 | 62% | 15:20 | 13:10 | 0:08 | 2:02 |
| Apr 2 | vs TOR | L 3-6 | 0 | 0 | 0 | +1 | 2 | 0 | 2 | 0 | 50% | 12:15 | 11:14 | 0:07 | 0:54 |
| Nov 26 | vs CAR | L 3-6 | 0 | 0 | 0 | -2 | 0 | 0 | 2 | 0 | 50% | 10:24 | 7:26 | 0:40 | 2:18 |
| Nov 24 | @ FLA | OTL 1-2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 45% | 11:03 | 10:24 | — | 0:39 |
| Nov 23 | @ TBL | L 0-4 | 0 | 0 | 0 | -2 | 0 | 0 | 1 | 0 | 64% | 14:34 | 11:39 | — | 2:32 |
| Nov 20 | vs BOS | L 2-5 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 64% | 13:10 | 10:59 | 0:17 | 1:54 |
| Nov 18 | vs TBL | OTL 3-4 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 33% | 11:41 | 9:48 | — | 1:53 |
| Nov 16 | vs CGY | W 2-1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 38% | 8:45 | 7:01 | 0:07 | 1:37 |
Season splits by strength
2021-22 regular season · on-ice numbers from shift and play-by-play data
| Strength | GP | TOI/GP | SA | GF | GA | GF% | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| All situations | 33 | 395:00 | 11:58 | 255 | 465 | 35.4% | 35.8% | 144 | 254 | 8 | 33 | 20% | 10.6 | 28.3 | 21% |
| Even strength | 33 | 315:18 | 9:33 | 238 | 324 | 42.3% | 42.4% | 133 | 176 | 8 | 21 | 28% | 9.7 | 15.8 | 30% |
| 5v5 | 33 | 314:52 | 9:32 | 238 | 324 | 42.3% | 42.4% | 133 | 176 | 8 | 21 | 28% | 9.7 | 15.8 | 31% |
| Power play | 11 | 2:51 | 0:16 | 0 | 0 | — | — | 0 | 0 | 0 | 0 | — | 0.0 | 0.0 | 50% |
| Penalty kill | 32 | 70:49 | 2:13 | 15 | 127 | 10.6% | 12.7% | 11 | 69 | 0 | 10 | 0% | 0.7 | 10.9 | 1% |
| 5v4 | 11 | 2:51 | 0:16 | 0 | 0 | — | — | 0 | 0 | 0 | 0 | — | 0.0 | 0.0 | 50% |
| 4v5 | 32 | 69:15 | 2:10 | 14 | 123 | 10.2% | 12.4% | 10 | 67 | 0 | 9 | 0% | 0.7 | 10.2 | 1% |
| 5v6, opponent net empty | 7 | 4:52 | 0:42 | 0 | 12 | 0.0% | 0.0% | 0 | 7 | 0 | 2 | 0% | 0.0 | 1.1 | — |
Career by season
Seasons in Edgehalla's data (2025-26 is being backfilled; earlier seasons follow)
| Season | Team | GP | G | A | P | +/- | PIM | HIT | BLK | TOI/GP | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | PHI | 33 | 1 | 2 | 3 | -15 | 31 | 23 | 4.3% | 49 | 20 | 11:58 |
| 2020-21Playoffs | WPG | 8 | 0 | 2 | 2 | +1 | 2 | 1 | 0.0% | 15 | 9 | 8:40 |
| 2020-21 | WPG | 44 | 2 | 3 | 5 | +4 | 4 | 20 | 10.0% | 60 | 20 | 9:41 |
| 2019-20 | PHI, MTL | 70 | 4 | 11 | 15 | -1 | 30 | 67 | 6.0% | 118 | 50 | 12:47 |
| 2018-19 | MTL, LAK | 78 | 5 | 8 | 13 | -1 | 17 | 71 | 7.0% | 87 | 44 | 13:00 |
| 2017-18Playoffs | LAK | 4 | 0 | 0 | 0 | -1 | 0 | 1 | 0.0% | 15 | 2 | 11:34 |
| 2017-18 | LAK, OTT | 69 | 5 | 12 | 17 | -1 | 20 | 53 | 9.4% | 122 | 39 | 12:46 |
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.
