Ross Johnston
St. Louis Blues · LW · L shot · age 32 at the dated snapshot.
- Team
- STL
- Lane
- LW
- Age
- 32
How the points were built
Official NHL 2025–26 regular-season reports. A missing split stays “—”; it is never converted to zero.
6 LW regulars in STL
The all-team median is 4. STL’s farm system ranks #11 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?
$2.00M cap hit
2026–27 through 2028–29. Certified
Role question › Costs more per point than the position median and is below the line on five-on-five creation and penalty-kill use. Either the contract or the deployment needs a look.
- He did not reach the five-on-five sample (20 games and 10:00 a night at five-on-five), so the rate test cannot pass.
- His team shot 12.3% with him on the ice at five-on-five, well above the league norm near 8–9%. Some of the scoring is likely to regress.
- 16 real points at this cap hit would pass the cost test (he had 14).
- A five-on-five rate of 1.68 per 60 (he had no qualifying sample) or a regular penalty-kill role (1:00+ a night) would pass the Cup side.
Expected goals
CapOrCup's shot model (distance, angle, shot type, strength, rebounds, rushes), trained on 2023-24 and 2024-25 and tested on unseen games (AUC 0.757). Finishing is goals minus expected goals; it is noisy in one season.
What happens while he plays
Measured from the league's play-by-play and shift charts, not from the scoresheet. Expected goals are counted for every player on the ice, and a goal is credited to whoever was on the ice when the sequence began, including players who had changed off before it was scored.
Who looked like this at 29 to 32
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 14 PEIBAAA 0.88 → age 15 PEIBAAA 0.89 → age 16 NBPEIMU18HL 0.46 → age 17 NBPEIMMHL 1.68 → age 18 QMJHL 0.18 → age 19 QMJHL 0.51 → age 20 QMJHL 0.42 → age 21 QMJHL 0.73 → age 22 AHL 0.10 → age 23 AHL 0.24 → age 24 NHL 0.25 → age 25 NHL 0.23 → age 26 NHL 0.13 → age 27 NHL 0.08 → age 28 NHL 0.22 → age 29 NHL 0.13 → age 30 NHL 0.06 → age 31 NHL 0.09 → age 32 NHL 0.23
| Player | Distance (lower is closer) | What he did afterwards |
|---|---|---|
| Nicolas DeslauriersL · matched at ages 29, 30, 31, 32 | 0.10 | age 33 NHL 0.07 → age 34 NHL 0.10 → age 35 NHL 0.04 |
| Justin DowlingC · matched at ages 29, 30, 31, 32 | 0.11 | age 33 AHL 0.32 → age 34 NHL 0.14 → age 35 AHL 0.29 |
| Tyler PitlickC · matched at ages 29, 30, 31, 32 | 0.13 | age 33 AHL 0.35 → age 34 NHL 0.06 |
| Casey CizikasC · matched at ages 29, 30, 31, 32 | 0.14 | age 33 NHL 0.33 → age 34 NHL 0.21 → age 35 NHL 0.22 |
| Garnet HathawayR · matched at ages 29, 30, 31, 32 | 0.19 | age 33 NHL 0.31 → age 34 NHL 0.04 |
| Nic DowdC · matched at ages 29, 30, 31, 32 | 0.21 | age 33 NHL 0.34 → age 34 NHL 0.33 → age 35 NHL 0.29 |
| Sam CarrickC · matched at ages 29, 30, 31, 32 | 0.21 | age 33 NHL 0.25 → age 34 NHL 0.17 |
| Noel AcciariC · matched at ages 29, 30, 31, 32 | 0.23 | age 33 NHL 0.15 → age 34 NHL 0.37 |
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.
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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.
Either side of that absence: 0 points per 60 in the ten games before, 1.11 in the ten after. A rate change over a small sample, not evidence of a lingering injury.
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.