Brett Leason
San Jose Sharks · RW · — shot · age 27 at the dated snapshot.
- Team
- SJS
- Lane
- RW
- Age
- 27
How the points were built
Official NHL 2025–26 regular-season reports. A missing split stays “—”; it is never converted to zero.
2 RW regulars in SJS
The all-team median is 3.5. SJS’s farm system ranks #1 in the maintained two-board consensus.
Questions a GM still has to answer
- How much of the scoring comes at five-on-five, on special teams, or into an empty net?
- Is the player creating the play, finishing it, or receiving a secondary point?
- Does deployment reveal trust, scarcity, underuse, or a role the roster cannot offer?
- What contract, acquisition cost, development alternative and Cup-window effect complete the argument?
SJS do not play today
League schedule for 2026-09-29; next league date 2026-09-30.
Nothing listed against him.
Brett Leason is in the middle of the pack for attention (49th percentile); attention this week is 12.63× his usual
How much he is being talked about: the league's own stories tagged to him, daily pageviews of his Wikipedia article against his own 90-day baseline, posts naming him on the connected networks (Bluesky), and the roster moves and listings that make noise. A measure of attention. Whether it affects a player is his business, and a question the history will let us test later.
Social: 3 posts named him this week on Bluesky · 5 likes, reposts and replies · no baseline yet, it needs a week of readings.
Cap hit not published
Term not published. Unknown
What the condensed games showed
Read from the league's free condensed games (1 game so far): entries, exits, battles and turnovers the model could see and attribute to his jersey number. A condensed game is a sample of the game, so these are observations, not season counts.
Most often up against: T. Mitchell (1).
Brett Leason, season by season
Each dot is one season. The amber bar is what his earlier seasons and his age predicted for that season (80% band), so a dot far above its bar is a season the numbers did not see coming. The shaded band is where most players at his position sit at each age.
Position band: quantile regression (10th/50th/90th) of qualifying seasons on an age spline, weighted for players who drop out.
What the numbers found
No shipped label applies. A label is a measured finding about a run of seasons (for example, a spike that came back to the old level), and it is shown only for label types that passed their test on held-out seasons.
Projection at the draft
At the draft the model expected 12 NHL hours through his age-25 season (80% band 0 to 77). He logged 43 hours, between the median and the 90th percentile. The model was applied to his draft class without being fitted or tested on it.
Every season
| Season | Age | GP | Level | Expected (80%) |
|---|---|---|---|---|
| 2021-22 | 22 | 36 | 12.5 | 12.3 to 72.7 |
| 2022-23 | 23 | 54 | 12.4 | 2.5 to 38.8 |
| 2023-24 | 24 | 68 | 24.5 | 0.9 to 32.4 |
| 2024-25 | 25 | 62 | 21.3 | 6.2 to 37.1 |
| 2025-26 | 26 | 6 | 0.0 | −11.3 to 54.2 |
Source: CapOrCup careers desk (method and league curves) · as of 2026-09-29
Who looked like this at 23 to 26
Careers are compared as league-adjusted points per game by age, over the same ages. The comparables below are the closest lines, and what matters is the spread of what they did next, not any single name.
This player so far: age 13 AMBHL 0.70 → age 14 AMBHL 2.21 → age 15 AMMHL 2.77 → age 16 AMHL 1.56 → age 17 WHL 0.27 → age 18 WHL 0.08 → age 19 WHL 1.62 → age 20 AHL 0.28 → age 21 AHL 0.61 → age 22 NHL 0.17 → age 23 NHL 0.17 → age 24 NHL 0.32 → age 25 NHL 0.27 → age 26 AHL 0.79
| Player | Distance (lower is closer) | What he did afterwards |
|---|---|---|
| Mathieu JosephR · matched at ages 23, 24, 25, 26 | 0.03 | age 27 NHL 0.49 → age 28 NHL 0.23 → age 29 NHL 0.28 |
| Pavel KarnaukhovL · matched at ages 23, 24, 25, 26 | 0.03 | age 27 KHL 0.32 → age 28 KHL 0.23 → age 29 KHL 0.30 |
| Justin BrazeauR · matched at ages 23, 24, 25, 26 | 0.04 | age 27 NHL 0.35 → age 28 NHL 0.53 |
| Nathan WalkerL · matched at ages 23, 24, 25, 26 | 0.04 | age 28 NHL 0.40 → age 29 NHL 0.18 → age 30 NHL 0.29 → age 31 NHL 0.22 → age 32 NHL 0.24 |
| Jeff MalottL · matched at ages 23, 24, 25, 26 | 0.05 | age 27 AHL 0.34 → age 28 NHL 0.08 → age 29 NHL 0.15 |
| Sam CarrickC · matched at ages 23, 24, 25, 26 | 0.05 | age 27 AHL 0.46 → age 28 AHL 0.42 → age 29 NHL 0.46 → age 30 NHL 0.30 → age 31 NHL 0.14 |
| Cameron HughesC · matched at ages 23, 24, 25, 26 | 0.06 | age 27 AHL 0.38 → age 28 AHL 0.38 → age 29 AHL 0.48 |
| Tyler PitlickC · matched at ages 23, 24, 25, 26 | 0.06 | age 27 NHL 0.26 → age 28 NHL 0.32 → age 29 NHL 0.29 → age 30 NHL 0.08 → age 31 NHL 0.26 |
Reading it
If most comparables became NHL regulars and their later peak sits well above this player's current line, the numbers say there is room to grow. If most did not, the numbers say the odds are against it. Either way it is what the data shows, not a name chosen to flatter.
Every goal, with the league's video
Preseason, regular season and playoffs are kept apart. Each row links to the NHL's own highlight page; no video is hosted here. Where a clip has been reviewed, the reading of it is a model judgement of the frames, not a measurement.
Loading…
Games missed
The NHL publishes no injury feed. This counts games his club played while he did not dress, for any reason: injury, illness, a healthy scratch, a suspension or a trade gap. No cause is claimed.
Speed, shot and ice
From the NHL's own player-tracking data. Percentiles are the NHL's: the share of the league below this player.