Armchair Hockey Scout

Ask the book

2022-23 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 2022-23 edition’s index; readings rest on the players’ own pages; the model never counts. Twenty questions an hour.

This is the 2022-23 edition — an archived read. Read the 2026-27 report →

41

Scott Wedgewood

Dallas Stars Goaltender

A .9097 across three clubs in one season, and a career .9058 in 77 games spread over seven years.

SeasonTeamGPWLOTLGAGAASOSASV%
2015-16NJD421151.251116.957
2017-18ARI20594633.451587.893
2020-21NJD16383463.112458.900
2021-22NJD/ARI/DAL37131561103.1411218.910
2022-23 so far——————————
Career—772333142243.1052379.906

This Season So Far

The 2022-23 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

37 games, 13-15-6, .9097 and 3.14 with one shutout on 1,218 shots, for New Jersey, Arizona and Dallas. Twenty-sixth of the 53 goaltenders who played 25 games or more — the middle of the league, in the two worst situations in it.

It was by a distance the most work of his career. He had 40 NHL games in the six seasons before this one and 37 in this one alone.

The eight he played in Dallas are the ones that matter to this chapter and eight games is not a sample.

The Physical Game

6-2 and 201, which is small by the standard the position now sets and is one reason it took him until 30 to get a season.

Nothing here measures rebound control, lateral push or how deep he plays, which is most of what separates a backup from a starter. What the repo has is shots and goals, and .9097 on 1,218 shots is a real number and an ordinary one.

Read it against the clubs. New Jersey’s goaltending came in 32nd in the league against the chances it faced, at minus-43.3 goals, and Arizona’s 30th at minus-31.9 — the two worst crease situations in hockey, and he spent most of the season in them. A .9097 in that company is better than it looks, and there is no way to prove that from this file: the goaltending residual is computed per club and not per goaltender, and both clubs had other men in net whose numbers are inside those figures alongside his.

The Mental Game

Thirty years old, in his fourth NHL season by the calendar and his first by the workload.

Three organisations in one year, and eight games at the end of it in Dallas. Whatever the position asks of a man who dresses in three buildings in six months, it is not in this repo.

The Intangibles

Eighty-fourth overall in 2010, the third round, and 77 NHL games at 30 with a career .9058. Four seasons of NHL hockey, spread across twelve years since the draft: four games, twenty, sixteen, thirty-seven.

The busiest season of his career is the one just finished, and it is also his best save percentage in any season of more than twenty games — .8927 in twenty with Arizona, .8996 in sixteen with New Jersey, .9097 in thirty-seven. The trend is the right way up and the sample it is drawn from is tiny.

The job is twenty-five to thirty starts behind a 23-year-old who will play everything else. The .9097 says he can hold that; the seventy-seven career games say nobody should be surprised either way.

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.

  • ordinaryraised, and called ordinary

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.

  • rebound-controlpresent and ordinary· where the second chance ends up

    “Nothing here measures rebound control, lateral push or how deep he plays”