xJawn NHL expected goals

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Boston Bruins

Atlantic · 45-27-10, 100 pts

82 GP · 4th Atlantic
2025-26 · regular season
Adjusts with rink filters
shots for◀ 5v5 offense
shots against5v5 defense ▶
How to read this map

One rink, both ends: what BOS generates on the left, what it concedes on the right. Every attempt is a Gaussian bump of height = its model xG, summed per game. The controls switch the surface (xG heatmapvs league, the league baseline at the same strength) and the markers: × goal · on net · missed · small blocked.

The page opens at 5v5; empty-net attempts are excluded throughout, and the strength buckets segregate them anyway — which is why the empty-net control greys out unless the view can actually contain one. Everything inside the outlined box moves with the filters; everything below it does not.

Observed production

5v5 · regular season
for against
axis spans ±31% of league average · centre = average · right = more
Goalsteam
182 78th pctl150 19th pctl
Shotsteam
1,718 41st pctl1,790 59th pctl
Attemptsteam
3,750 44th pctl3,914 75th pctl
xGteam
156.0 28th pctl170.6 53rd pctl
xGF%share of team xG
47.8%31st pctl
0% 50% = even split · gray = league middle 50% / 90% 100%

Percentiles and the gray spread rank against all 32 teams recomputed under the current filter — every bar and band here moves together, so a slice never ranks against a different slice's league.

Rolling xGF%

5v5 · regular season
Per-game chance share, smoothed. drag the slider to set the window

Model estimates

🔒 full season · 5v5
Season-long ratings — the filters above don't apply here. goals vs league average · bar grows from average
Shootingour skaters · on our shots, vs this season's average
+2.566th pctl
3,750 attempts · 100% by rated shooters
Savingour goalies · on shots faced, vs this season's average
Jeremy Swayman +5.87 G · 2,555 shotsJoonas Korpisalo -3.32 G · 1,356 shots
+2.563rd pctl
Jeremy Swayman 2,555 · Joonas Korpisalo 1,356 · Michael DiPietro 3 shots faced
Shooting againsttheir skaters · on shots faced
+1.094th pctl
sign-flipped — positive means they shot worse than average
Saving againsttheir goalies · on our shots
+0.266th pctl
negative means their goalies stopped more than average
−15league average+15

These four are shown within-season centered — each against this season's own league average, not the fit's career-pooled one — because shooting talent leaguewide is running well above its historical zero point this season; without that adjustment nearly every bar would read "above average." The against columns still barely vary between teams, since every team faces roughly average opposition, so for those two the rank still matters more than the level. They are shown because they genuinely move adjusted xGF% below (computed from the uncentered ratings — see that section's own note), and folding them into the two own-team rows would have hidden half of that.

Adjusted xGF%skill-weighted chance share
shooting +1.62 ppsaving against -1.17 ppshooting against -1.04 ppsaving +1.55 pp
48.7%34th pctl · +0.95 pp
0% 50% = even split · gray = league middle 50% / 90% 100%
How it's built, and what it isn't
unadjusted 47.8% +shooting +1.62+saving against -1.17+shooting against -1.04+saving +1.55 = adjusted 48.7%

How it's builtEvery 5v5 shot is re-scored with σ(logit(xG) + shooter − goalie) and both ends re-summed. Both skill terms land on every shot — one team's for side, the other's against side — so the league share still averages 50%. The two moves are taken in that order and sum exactly to the total; shares don't decompose additively, so a side-by-side split would not close.

What it isn'tA descriptive re-score of shots already taken, not a forecast. Against future goal share the combined adjustment is indistinguishable from plain xGF% (+0.019 r, p = 0.192); only the shooting half shows a small honest lift (+0.026, p = 0.020), and the saving half contributes nothing forward-looking. The premise underneath is itself unestablished — xGF% over GF% is +0.040, p = 0.246. Read it as what this roster's skill was worth on these shots — nothing more.

The four segments are the four rows above, in order. They are four and not two because η puts both rating terms on every shot: the shots we took carry our shooters and the opposing goalie, and the shots we faced carry their shooters and ours. Over a full season the two “against” terms would sit near league average and contribute nothing — but the ratings are not centred at zero this season, so they do move the number, and hiding them inside a single “shots faced” figure would have left half the adjustment unexplained.

Season context

descriptive · not modeled
How the season was played, not how well. Not a modeled component: each is its own metric (a rate, a TOI share, or opponents' net xG-RAPM), shown with a league percentile only where one exists, never added together. Not a grade.
Ice timeshare by strength
5v5 79%PPPK
-1.2PP − PK min/60
Score stateTOI by game state
trail 29%tied 36%lead 36%
balanced
Goalie workloadstarter's share of shots
65%of 5v5 shots against
Schedule strengthopponents' net xG-RAPM
not available in the pipeline
0league average100 pctl
Full table · all numbers
FamilyStatValue (current slice)
Observed ◆ filtered Goals for / against 182 / 150
Observed ◆ filtered xG for / against 156.0 / 170.6
Observed ◆ filtered Shots for / against 1,718 / 1,790
Observed ◆ filtered Attempts for / against 3,750 / 3,914
Modeled 🔒 5v5 Shooting — our skaters · on our shots, vs this season's average +2.5 G 66th pctl
Modeled 🔒 5v5 Saving — our goalies · on shots faced, vs this season's average +2.5 G 63rd pctl
Modeled 🔒 5v5 Shooting against — their skaters · on shots faced +1.0 G 94th pctl
Modeled 🔒 5v5 Saving against — their goalies · on our shots +0.2 G 66th pctl
Modeled 🔒 5v5Unadjusted xGF%47.8%
Modeled 🔒 5v5↳ shooting shift+1.62 pp
Modeled 🔒 5v5↳ saving against shift-1.17 pp
Modeled 🔒 5v5↳ shooting against shift-1.04 pp
Modeled 🔒 5v5↳ saving shift+1.55 pp
Modeled 🔒 5v5Adjusted xGF% 48.7% 34th pctl
ContextIce time — share by strength-1.2
ContextScore state — TOI by game statebalanced
ContextGoalie workload — starter's share of shots65%
ContextSchedule strength — opponents' net xG-RAPM

Observed values reflect the active rink filters; modeled values are fixed at their full-season 5v5 fit.

Modeled ratings come from joint__baseline_xg__f3e3111e (as of 2026-06-14) — a separate surface from the box-score xG model badged in the footer.