Armchair Hockey Scout

Ask the book

2023-24 edition Ask a direct question about this edition of the book — who, how many, how common, which group more — and it is answered with a table computed on this page from the edition’s index: the season line, height and age, the on-ice percentiles, the grades and the traits read out of every report. Ask for a view on named players — what a comparison comes down to, what makes a man — and you get the book’s reading of their own pages, and only those. The model turns your question into a query and phrases the result, or reads the pages it is handed; it never originates a figure, and an answer carrying a figure that is on neither the table nor the pages is withheld. It does not forecast, and it says so when a question is outside what the book holds.

Tables are computed on this page from the 2023-24 edition’s index; readings rest on the players’ own pages; the model never counts. Twenty questions an hour.

This is the 2023-24 edition — an archived read. Read the 2026-27 report →

18

Sam Steel

Dallas Stars Center

A first-round pick on his third organisation at 25, coming off his best season.

SeasonTeamGPGAPTS+/-PIMPPSHGWSS%TOI
2018-19ANA226511+280103318.214:58
2019-20ANA6561622-1320101857.115:33
2020-21ANA426612-780004214.314:32
2021-22ANA6861420-1716001669.112:19
2022-23MIN65101828+11180128511.814:58
2023-24 so far—————————————
Career—262345993-247012431110.914:21

This Season So Far

The 2023-24 season has not started. The empty row above is his, and both it and this paragraph fill in on their own from the morning after he first plays: what he has done, what it is worth against his own last season, and the run he is on when the two disagree.

Last Season

10 goals and 18 assists in 65 games for Minnesota, plus-11 — the best plus-minus of his career by nine — at 14:58 a night.

28 points is a career high too, by six.

52.0 per cent of the expected goals at five-on-five, the 67th percentile, with his ice at 37-31 against an expectation of 36.41-33.60. Exactly as expected at one end and three better at the other. It is the first year of his career the possession numbers have been on the right side of the line.

Five seasons, 262 games, 93 points.

The Finesse Game

85 shots at a median of 21 feet, 48 per cent from inside twenty.

Inside forty: 71 shots, ten goals, 14.08 per cent. Beyond forty: 13 shots, none.

14 backhands out of 85 attempts, which is a high share and reads as a player who works in traffic rather than in space.

82.6 mph at the 5th percentile — one of the softest shots in the league. Every goal he scored came from inside forty feet, and with a shot that weak there is no other way it could have happened.

The Physical Game

6-0 and 185. 22.7 mph at the 73rd percentile and 1.4 bursts a game at the 69th — above average for a fourth-line centre, and 2.44 miles a game at the 40th.

18 penalty minutes in 65 games. He is not physical and at 185 pounds is not going to become so.

The skating is the reason he keeps getting contracts: he can play a checking role at pace without the size that role usually asks for.

The Intangibles

30th overall in 2016 out of Regina, four seasons in Anaheim that never produced more than 22 points, and one good year in Minnesota.

Dallas signed him at 25 to be a fourth-line centre. The Anaheim years look worse than they were — that club was among the worst in the league throughout — and the Minnesota season is the first evidence that he can play on a good one.

What kind of player

The searchable half of the report. The first group is computed from the season's own data; the rest are read out of the prose above, and each one carries the sentence that produced it. A subject the report never raised is simply absent.

  • a strengthread out of the prose, and claimed

Each computed tag also says how well its measure holds up from one season to the next, because a tag describes a season that has finished and a reader will assume it predicts the one coming. Some do and some do not, and the gap is wide: five-on-five workload repeats well, scoring late does not repeat at all.

  • penalty-killera strength· trusted a man short

    “he can play a checking role at pace without the size that role usually asks for”

The numbers underneath

On the ice

Five-on-five, 2022-23 · 861 minutes

Expected goals
52%
67th pct

share of the chances while he was out there

Shot attempts
52.5%
75th pct

share of the attempts while he was out there

Goals while he was on the ice: 37 for, 31 against. Expected: 36.4 and 33.6.

The eye and the numbers

Hindsight
Report
7th
Numbers
67th

The numbers rank him 60 points above where the report does. It was written for a back edition, with the seasons that followed already known. Neither the agreement nor the gap says anything about the eye, and this report is excluded from the club-level comparison for the same reason. Why the numbers land there sets out the club he did it on, the minutes he played and the men he played them with.

Both bars are percentiles among the 638 skaters in this edition with a report and enough ice time. The report bar ranks the mean of the grades above — 54 on their own scale — against every other report's mean. The numbers bar ranks his share of expected goals. A gap is a disagreement about where he belongs, not two scales talking past each other.

Tracked

NHL Edge, 2022-23 · 65 games

Top speed
22.7 mph
78th pct

fastest he was clocked all season; the league's average best is 22.0

Bursts over 20 mph
1.37 a game

how often he reaches that speed, not how fast he goes

Distance
2.44 miles a game

skated, all strengths

Hardest shot
82.6 mph
26th pct

one shot; the league's average best is 84.9

A top speed is a season's best, and a man who takes more shifts gets more tries at one; the percentile is the feed's own, against every skater, and says less between a top-pair defenceman and a fourth-line wing than it does between two men in the same job. The counts are shown per game for the same reason.

Usual linemates

2022-23 with MIN · 861 minutes at five-on-five

Share of his five-on-five ice time spent alongside each player, measured from shift charts. Special teams are excluded: a power-play unit is not a line.

Why the numbers land there

Five-on-five, 2022-23

The club
MIN took 50.0% of the expected goals as a club. His own share is 52.0% — 2.0 above the club he did it on.
The role
First line, 861 minutes at five-on-five — 45th percentile in ice time.

With and without

TeammateTogetherHim apartMate apart
Mats Zuccarello53.9%49.8%50.6%
Kirill Kaprizov56.6%47.2%55.2%
Matt Dumba49.5%53.6%49.4%

53.9% together, 49.8% for him apart and 50.6% for Zuccarello apart. Both were worse apart, so whatever the two of them had together was doing real work.

Expected-goal share while both were on the ice, and for each man in the minutes he played without the other. Apart is the pair subtracted from his own totals. It does not settle who was carrying whom — apart from each other, both were still playing with somebody — but it does say whether the share travelled when the pairing broke up.

Where he shoots from

goal on goal missed

118 unblocked shots in 2022-23, 10 of them goals. His median goal came from 12 feet. 48% of his shots came from inside twenty feet, 14% from beyond forty.