Spreadsheet Sports Hockey / Players / Jonathan Quick

Jonathan Quick

Not on an NHL roster · last played for New York RangersGoalieage 406′1″, 219 lbcatches leftdrafted 2005, #72 overall

Workload1B / Backup2025-26

Scouting summaryNo standout area yet; best is shot stopping (30); workload is the weak spot (9).

2025-26 · regular seasonNYR

25GP

.891SV%

3.09GAA

2SO

24GS

671SA

−4.4GSAx

Season

Small sample. Only 1,418 minutes (25 games) in 2025-26. Treat these percentiles as rough.

At a glance · 2025-26 · 25 GP · 1,418 min · NYR

Category scores

0–99 percentile vs every qualified goalie. Tap a row to see the numbers behind it.

Shot stopping30Below avg Danger saves29Below avg Workload9Weak

Shot stopping

Goals saved compared with what our expected-goals model says an average goalie allows on the same shots

30Below avg

MetricValuePercentile

Goals saved above expectedGSAx

−4.4

Save % vs expecteddSV%

−0.66

GSAx per 60GSAx/60

−0.19

Save %SV%not graded

.891

Goalie numbers swing a lot from one season to the next (year-to-year r of about 0.1 to 0.2 for every goalie stat, ours or the plain save %). Read these scores as one season's form, not a forecast.

How our expected goals work

Shot stopping leaders

Danger saves

Save percentage on low-, medium- and high-danger shots (danger = our xG)

29Below avg

MetricValuePercentile

High-danger save %HD SV%raw .684 on 79 shots

.710

Medium-danger save %MD SV%raw .861 on 267 shots

.861

Low-danger save %LD SV%raw .966 on 325 shots

.966

Danger tiers come from our expected-goals model: low under 5%, medium 5–15%, high 15%+ chance to score.

Danger saves leaders

Workload

How much he plays and how hard the shots are

9Weak

MetricValuePercentile

Games playedGP

Games startedGS

MinutesMIN

1,418

Shot difficulty facedxGA/60style

2.90

Shots faced per 60SA/60style

28.4

Workload leaders

Similar goalies · 2025-26

Plays like

Closest matches on the category scores plus style (shot difficulty and volume faced), same season, same position group.

97% matchEric ComrieWPG · G · 1B / Backup 81% matchElvis MerzlikinsCBJ · G · 1B / Backup 81% matchJonas JohanssonTBL · G · 1B / Backup 80% matchTristan JarryEDM · G · 1B / Backup 78% matchCharlie LindgrenWSH · G · 1B / Backup

Small sample. Only 1,326 minutes (24 games) in 2024-25. Treat these percentiles as rough.

At a glance · 2024-25 · 24 GP · 1,326 min · NYR

Category scores

0–99 percentile vs every qualified goalie. Tap a row to see the numbers behind it.

Shot stopping26Below avg Danger saves25Below avg Workload1Weak

Shot stopping

Goals saved compared with what our expected-goals model says an average goalie allows on the same shots

26Below avg

MetricValuePercentile

Goals saved above expectedGSAx

−6.1

Save % vs expecteddSV%

−0.93

GSAx per 60GSAx/60

−0.28

Save %SV%not graded

.893

Goalie numbers swing a lot from one season to the next (year-to-year r of about 0.1 to 0.2 for every goalie stat, ours or the plain save %). Read these scores as one season's form, not a forecast.

How our expected goals work

Shot stopping leaders

Danger saves

Save percentage on low-, medium- and high-danger shots (danger = our xG)

25Below avg

MetricValuePercentile

High-danger save %HD SV%raw .685 on 73 shots

.706

Medium-danger save %MD SV%raw .864 on 295 shots

.864

Low-danger save %LD SV%raw .976 on 289 shots

.975

Danger tiers come from our expected-goals model: low under 5%, medium 5–15%, high 15%+ chance to score.

Danger saves leaders

Workload

How much he plays and how hard the shots are

1Weak

MetricValuePercentile

Games playedGP

Games startedGS

MinutesMIN

1,326

Shot difficulty facedxGA/60style

2.89

Shots faced per 60SA/60style

29.7

Workload leaders

Similar goalies · 2024-25

Plays like

Closest matches on the category scores plus style (shot difficulty and volume faced), same season, same position group.

82% matchConnor IngramUTA · G · 1B / Backup 79% matchVitek VanecekFLA · G · 1B / Backup 69% matchJoonas KorpisaloBOS · G · 1B / Backup 69% matchMarc-Andre FleuryMIN · G · 1B / Backup 69% matchPhilipp GrubauerSEA · G · 1B / Backup

How every number is calculated

Percentiles (0–100) rank him against every goalie with 1,200+ minutes that season (61 in 2025-26). Tiers: Elite 90+ · Strong 70–89 · Average 40–69 · Below avg 20–39 · Weak 0–19. Roles are simple rules applied in order; the first one that fits wins. Expected goals and RAPM, explained and backtested

Shot stopping: Goals saved compared with what our expected-goals model says an average goalie allows on the same shots. Category score = weighted average of the graded metrics' percentiles in that category, re-ranked 0-99 against every qualified skater (or every skater in his position group when 'vs position' is on). Style numbers (weight 0) are shown but not graded.
GSAxGoals saved above expected: Expected goals faced minus goals allowed, season total. +10 is excellent. How: Sum of our xG on every unblocked, non-empty-net shot he faced − goals allowed on them.
dSV%Save % vs expected: Save percentage minus the save percentage an average goalie would post on his shots, in percentage points. How: GSAx ÷ shots on goal faced × 100.
GSAx/60GSAx per 60: Goals saved above expected per 60 minutes. How: GSAx ÷ time on ice × 60.
SV%Save %: Plain save percentage. Shown, not graded: it ignores how hard the shots were. How: Saves ÷ shots on goal (NHL). Shown, not graded.
Danger saves: Save percentage on low-, medium- and high-danger shots (danger = our xG). Category score = weighted average of the graded metrics' percentiles in that category, re-ranked 0-99 against every qualified skater (or every skater in his position group when 'vs position' is on). Style numbers (weight 0) are shown but not graded.
HD SV%High-danger save %: Save % on shots our model rates 15%+ to score, volume-adjusted. How: (HD saves + 40 × league HD SV%) ÷ (HD shots + 40). Raw in the note.
MD SV%Medium-danger save %: Save % on shots rated 5–15% to score, volume-adjusted. How: Same adjustment, 40 league-average shots added.
LD SV%Low-danger save %: Save % on shots rated under 5% to score, volume-adjusted. How: Same adjustment, 40 league-average shots added.
Workload: How much he plays and how hard the shots are. Category score = weighted average of the graded metrics' percentiles in that category, re-ranked 0-99 against every qualified skater (or every skater in his position group when 'vs position' is on). Style numbers (weight 0) are shown but not graded.
GPGames played: Games he appeared in. How: NHL games played.
GSGames started: Games he started. How: NHL games started.
MINMinutes: Minutes played. How: NHL time on ice.
xGA/60Shot difficulty faced: Expected goals he faced per 60 minutes: how dangerous the shots were. A style number, not graded. How: Our xG on unblocked shots faced ÷ time on ice × 60. Style number, not graded.
SA/60Shots faced per 60: Shots on goal faced per 60 minutes. A style number. How: NHL shots against ÷ time on ice × 60. Style number, not graded.
Goalie roles: Starter Started 50+ games.
Workhorse Tandem Started 35–49 games.
1B / Backup Started fewer than 35 games.

Season by season · regular season

Jonathan Quick's stats

Season	Team	GP	GS	W	L	OTL	SV%	GAA	SO	SA	GSAx
2025-26	NYR	25	24	6	17	2	.891	3.09	2	671	−4.4
2024-25	NYR	24	20	11	7	2	.893	3.17	3	657	−6.1

Hover, focus or tap a column name to see what it means. Traded players: combined line. SH% and FO% shown as 12.5 = 12.5%.

What do these stats mean?

GP: Games played
GS: Games started
W: Wins
L: Regulation losses
OTL: Overtime and shootout losses
SV%: Save percentage: saves ÷ shots on goal
GAA: Goals against per 60 minutes
SO: Shutouts
SA: Shots against
GSAx: Goals saved above expected (Spreadsheet Sports xG): expected goals faced minus goals allowed. Graded seasons only.

Box score via the NHL's public stats. GSAx from Spreadsheet Sports expected goals.

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