D · BUF · NHL id 8475796
Mark Pysyk has played 68 games for the Buffalo Sabres in 2021-22, scoring 3 goals and 9 assists (12 points) on 64 shots while averaging 17:49 a night (15:34 at even strength, 0:02 on the power play and 2:01 shorthanded). At 5v5 the Sabres have controlled 46% of shot attempts with Pysyk on the ice (35-41 in goals, 39% offensive-zone starts). In the Sabres' most recent game against CHI he was on D3 with Jacob Bryson and off the power play. He is shooting 4.7% this season against 5.4% across the 314 games in our data.
Right now
From the Apr 29 game vs CHI, detected from shift data
Deployment timeline
2021-22 · per-game ice time by strength, with line and power-play unit changes
Usage: 8 games, 15:00 average time on ice, PP1 in 0 games, 1 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 · 126 attempts, 64 on goal, 3 goals
Shot map, OPP at BUF: 126 attempts, 64 on goal, 3 goals, 4.07 expected goals; best chance Mark Pysyk at 0.41 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 · 62 of 68 games through the sequence engine (more fill in as games are reprocessed)
- −0.012
- Season net
- −0.21xG
5-on-5. Each takeaway is credited, and each giveaway charged, at the league xG value of the zone.
- Per 60
- 0.17
- Attempts
- 3
- 0.011
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 D1 from D2Nov 21, 2021 alerts →
Linemates
2021-22 · 5v5 time together and how each pairing performs with and without Pysyk
No 5v5 pairing data this season yet.
Game log
68 games in 2021-22, newest first
| Date | Opp | Result | G | A | P | +/- | PIM | HIT | BLK | EV | PP | PK | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Apr 29 | vs CHI | W 3-2 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | — | 12:51 | 11:57 | — | 0:54 |
| Apr 8 | @ FLA | L 3-4 | 1 | 0 | 1 | +1 | 1 | 0 | 0 | 1 | — | 17:03 | 15:27 | 0:01 | 1:35 |
| Apr 7 | @ CAR | L 3-5 | 0 | 0 | 0 | +2 | 1 | 0 | 0 | 0 | — | 14:26 | 12:03 | — | 1:37 |
| Apr 3 | vs FLA | L 3-5 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 1 | — | 14:52 | 13:59 | — | 0:53 |
| Apr 1 | vs NSH | W 4-3 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 1 | — | 13:35 | 13:35 | — | — |
| Mar 30 | vs WPG | OTL 2-3 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | — | 18:25 | 17:11 | — | 1:14 |
| Mar 25 | vs WSH | OTL 3-4 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 1 | — | 14:25 | 14:25 | — | — |
| Mar 23 | vs PIT | W 4-3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | — | 15:11 | 13:52 | — | 1:19 |
| Mar 18 | @ CGY | W 1-0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | — | 13:51 | 13:01 | — | 0:50 |
| Mar 17 | @ EDM | L 1-6 | 0 | 0 | 0 | -1 | 0 | 0 | 3 | 0 | — | 16:47 | 14:40 | — | 2:07 |
| Mar 13 | vs TOR | W 5-2 | 0 | 0 | 0 | +1 | 1 | 0 | 1 | 0 | — | 13:06 | 11:05 | — | 2:01 |
| Mar 7 | vs FLA | L 1-6 | 0 | 0 | 0 | -1 | 2 | 0 | 0 | 0 | — | 14:24 | 12:31 | — | 1:53 |
| Mar 6 | vs LAK | L 0-3 | 0 | 0 | 0 | -1 | 2 | 0 | 1 | 0 | — | 15:51 | 15:06 | — | 0:30 |
| Mar 4 | vs MIN | W 5-4 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | — | 19:04 | 17:26 | — | 1:19 |
| Mar 2 | @ TOR | W 5-1 | 0 | 1 | 1 | +2 | 1 | 0 | 1 | 6 | — | 18:21 | 16:59 | — | 1:22 |
| Feb 27 | @ DAL | L 2-4 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | — | 16:05 | 12:57 | — | 3:08 |
| Feb 25 | @ STL | L 3-5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | — | 14:46 | 12:10 | — | 2:34 |
| Feb 23 | @ MTL | L 0-4 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 0 | — | 18:42 | 18:28 | — | 0:14 |
| Feb 20 | @ CBJ | L 3-7 | 1 | 0 | 1 | -1 | 1 | 0 | 0 | 1 | — | 15:05 | 13:30 | — | 1:06 |
| Feb 19 | vs COL | L 3-5 | 0 | 0 | 0 | -2 | 0 | 0 | 1 | 1 | — | 18:14 | 16:42 | — | 1:11 |
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 | 68 | 1211:33 | 17:49 | 893 | 1241 | 41.8% | 41.5% | 503 | 735 | 40 | 64 | 38% | 44.3 | 68.2 | 29% |
| Even strength | 68 | 1059:00 | 15:34 | 842 | 989 | 46.0% | 45.4% | 464 | 597 | 35 | 42 | 45% | 40.3 | 48.5 | 39% |
| 5v5 | 68 | 1049:24 | 15:26 | 840 | 983 | 46.1% | 45.5% | 463 | 593 | 35 | 41 | 46% | 39.9 | 48.0 | 39% |
| Power play | 12 | 2:45 | 0:14 | 2 | 0 | 100.0% | 100.0% | 1 | 0 | 0 | 0 | — | 0.1 | 0.0 | 100% |
| Penalty kill | 63 | 137:25 | 2:11 | 36 | 230 | 13.5% | 15.2% | 28 | 127 | 0 | 20 | 0% | 1.4 | 16.5 | 1% |
| 4v4 | 17 | 7:36 | 0:27 | 1 | 2 | 33.3% | 33.3% | 1 | 1 | 0 | 1 | 0% | 0.2 | 0.2 | 20% |
| 3v3 (OT) | 1 | 2:00 | 2:00 | 1 | 4 | 20.0% | 20.0% | 0 | 3 | 0 | 0 | — | 0.2 | 0.3 | 100% |
| 5v4 | 12 | 2:40 | 0:13 | 2 | 0 | 100.0% | 100.0% | 1 | 0 | 0 | 0 | — | 0.1 | 0.0 | 100% |
| 4v5 | 63 | 135:18 | 2:09 | 36 | 224 | 13.8% | 15.6% | 28 | 122 | 0 | 20 | 0% | 1.4 | 15.7 | 1% |
| 6v5, own net empty | 13 | 3:40 | 0:17 | 8 | 4 | 66.7% | 70.0% | 6 | 2 | 1 | 2 | 33% | 0.4 | 2.0 | — |
| 5v6, opponent net empty | 12 | 7:39 | 0:38 | 5 | 17 | 22.7% | 31.3% | 4 | 9 | 4 | 0 | 100% | 2.1 | 1.1 | 0% |
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 | BUF | 68 | 3 | 9 | 12 | -4 | 16 | 64 | 4.7% | 41 | 85 | 17:49 |
| 2020-21 | DAL | 36 | 3 | 1 | 4 | +6 | 20 | 51 | 5.9% | 36 | 16 | 11:43 |
| 2019-20 | FLA | 58 | 9 | 9 | 18 | +4 | 20 | 64 | 14.1% | 47 | 38 | 12:45 |
| 2018-19 | FLA | 70 | 1 | 10 | 11 | -1 | 26 | 64 | 1.6% | 133 | 89 | 18:16 |
| 2017-18 | FLA | 82 | 3 | 13 | 16 | -8 | 20 | 106 | 2.8% | 102 | 123 | 18:46 |
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.
