xJawn NHL expected goals

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Ottawa Senators

Atlantic · 11-6-1, 23 pts

18 GP · 4th Atlantic
2026-27 · regular season
On the ice
Adjusts with rink filters
shots for◀ 5v5 offense
shots against5v5 defense ▶
How to read this map

One rink, both ends: what OTT generates on the left, what it concedes on the right (on a phone, one end at a time, net at the top: the switch above the map picks it). Every attempt is a Gaussian bump of height = its model xG, summed per game. The controls switch the surface (xG heatmap ↔ vs 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 · season to date
for against
axis spans ±63% of league average · centre = average · right = more
Goalsteam
36 59th pctl28 16th pctl
Shotsteam
334 38th pctl345 34th pctl
Attemptsteam
746 34th pctl769 44th pctl
xGteam
34.4 50th pctl31.3 16th pctl
xGF%share of team xG
52.3%66th 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 · last 10 games
Per-game chance share, smoothed. drag the slider to set the window
Who

Skaters on ice

5v5 · season to date
Team expected goals while each skater is on the ice, per 60 minutes · 5v5. up and right is better
strength
xGF/60 xGA/60
centre = league skater average · gray = league middle 50% / 90%
SkaterPos TOIxGF/60 xGA/60xGF% for / against
Drake Batherson F 316 4.32 1.93 69.1%
Dylan Cozens F 313 3.81 1.86 67.2%
Fabian Zetterlund F 251 3.26 1.66 66.3%
Stephen Halliday F 206 3.77 2.03 65.0%
Claude Giroux F 304 3.60 2.06 63.6%
Tim Stützle F 392 3.81 2.64 59.0%
Andre Burakovsky F 88 1.99 1.44 57.9%
Thomas Chabot D 334 3.24 2.56 55.9%
Carter Yakemchuk D 251 2.86 2.27 55.7%
Jordan Spence D 373 2.74 2.38 53.5%
Jake Sanderson D 226 3.11 3.45 47.4%
Warren Foegele F 156 2.12 2.38 47.2%
Shane Pinto F 356 2.68 3.25 45.2%
Michael Amadio F 288 2.25 3.23 41.0%
Nikolas Matinpalo D 242 2.17 3.17 40.7%
Tyler Kleven D 339 2.05 3.15 39.5%
Artem Zub D 211 2.21 3.68 37.5%
Ridly Greig F 241 2.31 3.87 37.4%
Nick Cousins F 172 1.70 3.20 34.7%
xGF/60 xGA/60
centre = league skater average · gray = league middle 50% / 90%
SkaterPos TOIxGF/60 xGA/60xGF% for / against
Fabian Zetterlund F 217 2.87 1.76 62.0%
Nikolas Matinpalo D 198 2.54 1.88 57.5%
Jordan Spence D 328 2.99 2.23 57.2%
Thomas Chabot D 252 2.94 2.25 56.7%
Tim Stützle F 246 2.69 2.09 56.3%
Claude Giroux F 228 2.57 2.08 55.2%
Drake Batherson F 228 2.77 2.31 54.6%
Stephen Halliday F 153 2.59 2.18 54.3%
Artem Zub D 172 2.54 2.40 51.5%
Jake Sanderson D 154 2.49 2.42 50.7%
Shane Pinto F 233 2.55 2.49 50.6%
Dylan Cozens F 231 2.12 2.15 49.6%
Michael Amadio F 238 2.58 2.65 49.3%
Tyler Kleven D 276 2.25 2.33 49.2%
Warren Foegele F 146 2.22 2.29 49.2%
Ridly Greig F 175 2.48 2.76 47.3%
Andre Burakovsky F 70 1.32 1.63 44.7%
Carter Yakemchuk D 196 1.84 2.52 42.2%
Nick Cousins F 163 1.80 2.83 38.8%
xGF/60 xGA/60
centre = league skater average · gray = league middle 50% / 90%
SkaterPos TOIxGF/60 xGA/60xGF% for / against
Ridly Greig F 17 4.34 0.19 95.7%
Thomas Chabot D 36 7.16 0.36 95.3%
Claude Giroux F 50 8.39 0.52 94.2%
Drake Batherson F 66 9.70 0.78 92.6%
Shane Pinto F 38 5.66 0.53 91.4%
Fabian Zetterlund F 31 5.90 0.57 91.2%
Dylan Cozens F 63 9.40 0.91 91.2%
Tim Stützle F 72 9.13 0.90 91.0%
Carter Yakemchuk D 41 7.51 0.95 88.8%
Jake Sanderson D 28 8.69 1.09 88.8%
Andre Burakovsky F 17 4.62 0.72 86.5%
Stephen Halliday F 50 7.19 1.21 85.6%
xGF/60 xGA/60
centre = league skater average · gray = league middle 50% / 90%
SkaterPos TOIxGF/60 xGA/60xGF% for / against
Tyler Kleven D 47 0.94 7.50 11.1%
Michael Amadio F 34 0.71 5.84 10.9%
Shane Pinto F 51 0.94 8.28 10.2%
Ridly Greig F 36 1.09 10.58 9.3%
Jordan Spence D 22 0.41 4.49 8.4%
Thomas Chabot D 27 0.59 7.44 7.3%
Tim Stützle F 45 0.55 8.51 6.1%
Artem Zub D 28 0.67 10.77 5.9%
Jake Sanderson D 26 0.74 12.09 5.8%
Nikolas Matinpalo D 38 0.55 9.46 5.5%
Claude Giroux F 10 0.01 11.40 0.1%
How to read this section

Each skater is placed by the team's expected goals for (across) and against (up, reversed so fewer is higher) per 60 minutes while they are on the ice. Above the dashed line the team out-chances its opponents with that skater on; below it, it is out-chanced. The dotted lines are the league skater average, and the open ring is the OTT average. Bigger markers mean more ice time; circles are forwards, diamonds defensemen.

5v5 is even strength with both goalies in. All is every strength, with shots at an empty net left out, as on the rink above. Power play is more skaters than the opponent with OTT's goalie in (an extra attacker for a pulled goalie is not one); penalty kill is fewer, with the opponent's goalie in. The strength switch is the page's: it moves the rink above too, and the link carries it. On-ice numbers describe what happened with a skater on the ice, teammates and opponents included; the Players page's RAPM separates the skater from both.

Skaters under 66 minutes at 5v5 for OTT are left off the chart and folded under the table; the floor grows with games played. On the power play and the kill a skater also needs half a minute a game at that strength, so the dots there are the units, not whoever got a shift. A traded skater counts only their time with this club. Once the playoffs start, their games count here too.

The model

Model estimates

🔒 5v5 · as of Jun 14, 2026
Season-long ratings — the filters above don't apply here. goals vs league average · bar grows from average

Last season's ratings on this season's shots. The per-player ratings behind these rows were fit as of 2026-06-14, before 2026-27 opened, and stay fixed until the season has enough games to refit. They are applied to the shots 2026-27 has actually seen, so the rows update daily; a player the fit never saw counts as league average.

Shootingour skaters · on our shots, vs this season's average
-1.319th pctl
746 attempts · 100% by rated shooters
Savingour goalies · on shots faced, vs this season's average
Samuel Ersson -1.82 G · 284 shotsJonas Johansson -0.77 G · 163 shotsLinus Ullmark +0.33 G · 322 shots
-2.39th pctl
Linus Ullmark 322 · Samuel Ersson 284 · Jonas Johansson 163 shots faced
Shooting againsttheir skaters · on shots faced
-0.050th pctl
sign-flipped — positive means they shot worse than average
Saving againsttheir goalies · on our shots
+0.272nd pctl
negative means their goalies stopped more than average
−4league average+4

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 +0.19 ppsaving against -0.86 ppshooting against -1.28 ppsaving -0.62 pp
49.8%44th pctl · -2.57 pp
0% 50% = even split · gray = league middle 50% / 90% 100%
How it's built, and what it isn't
unadjusted 52.3% +shooting +0.19+saving against -0.86+shooting against -1.28+saving -0.62 = adjusted 49.8%

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.

Context

Season context

season to date
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 76%PPPK
+0.6PP − PK min/60
Score stateTOI by game state
trail 27%tied 44%lead 28%
often tied
Goalie workloadstarter's share of shots
42%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 36 / 28
Observed ◆ filtered xG for / against 34.4 / 31.3
Observed ◆ filtered Shots for / against 334 / 345
Observed ◆ filtered Attempts for / against 746 / 769
Modeled 🔒 5v5 Shooting — our skaters · on our shots, vs this season's average -1.3 G 19th pctl
Modeled 🔒 5v5 Saving — our goalies · on shots faced, vs this season's average -2.3 G 9th pctl
Modeled 🔒 5v5 Shooting against — their skaters · on shots faced -0.0 G 50th pctl
Modeled 🔒 5v5 Saving against — their goalies · on our shots +0.2 G 72nd pctl
Modeled 🔒 5v5Unadjusted xGF%52.3%
Modeled 🔒 5v5↳ shooting shift+0.19 pp
Modeled 🔒 5v5↳ saving against shift-0.86 pp
Modeled 🔒 5v5↳ shooting against shift-1.28 pp
Modeled 🔒 5v5↳ saving shift-0.62 pp
Modeled 🔒 5v5Adjusted xGF% 49.8% 44th pctl
ContextIce time — share by strength+0.6
ContextScore state — TOI by game stateoften tied
ContextGoalie workload — starter's share of shots42%
ContextSchedule strength — opponents' net xG-RAPM—

Observed values reflect the active rink filters; modeled values are fixed at their 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.