xJawn NHL expected goals

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SJS 1 – 3 TOR

San Jose Sharks at Toronto Maple Leafs

Final · Oct 19, 2026
2026-27 · regular season
The call
TOR 55.8% ✓
expected 2.94–3.32 · TOR won 1–3
actual xG
3.78–3.56
xG share, predicted → actual
SJS 47% → 51%53% → 49% TOR
Today's puzzle Remember Some Guys — name the skater from the shape of his career. Three clues, one guess a day. Play →
Adjusts with rink filters

Strength and score are read from SJS's side, the same minutes at both ends: PP = SJS power play · PK = TOR power play · Leading = SJS ahead · ST = each club's own power play.

SJS attacks◀ all strengths
TOR attacksall strengths ▶
× goal• on net ◦ missed· blocked hover any attempt for the shooter, its xG and everything the model saw
How to read this map

One rink, both teams: SJS attacks the left net, TOR the right. Every attempt is a Gaussian bump of height = its model xG. The controls switch the surface (xG heatmap ↔ vs league) and the markers; vs league compares this game against a typical NHL team-game under the same filter (2026-27 regular season, 139 games), so a 5v5 view is measured against league 5v5.

A strength or score filter is read from SJS's side and mirrored for TOR: “SJS PP” shows SJS's power-play attempts on the left and TOR's shorthanded attempts on the right — the same minutes of the game at both ends. Empty-net attempts are excluded unless you include them. The Player control narrows the map and the rows beneath it to the attempts by either club while one player was on the ice (for a goalie, while he was in net); his own attempts wear a blue ring. vs league switches off while a player is picked — the league baseline is a whole team-game, which one player's slice is not. Hover any attempt for the shooter, the result, its xG, and the inputs behind it: clock, strength, score, shot type, distance, angle, handedness, rush/rebound, what happened just before, and the goalie or the blocker.

What each side produced

all strengths · regular season
SJS TOR
bars share a scale within each row · the longer bar is the row's leader
Goalson the map
1 2
Expected goals
3.78 3.57
xG%share of xG
51% 49%
High-dangerattempts ≥ 0.20 xG
2 2
Shots on goal
31 30
Attempts
63 64
xG by period · whole game 1st1.2–1.22nd1.2–1.53rd1.4–0.9

The Maple Leafs beat the Sharks 3–1 at home in a game the chances called about even, SJS 3.8 to TOR 3.6 in expected goals. The Maple Leafs power play made 1.1 xG on 11 attempts.

Counts come from the shot table behind the map: empty-net attempts and the shootout are excluded, so the goals here can trail the official final by an empty-netter or the shootout's deciding goal. Same numbers as the post-game cards.

As the game went

cumulative SJS − TOR xG · bands = power plays · lines = goals
1ST2ND3RD+0.5−0.5+1−1SJS AHEAD ▲TOR AHEAD ▼
How to read this

One line: cumulative SJS minus TOR expected goals. Above zero SJS is ahead on chances, below zero TOR is. Shaded bands are power plays in the side's colour; vertical lines are goals.

Skaters

on-ice xG · sorted by net · one game
How to read this

Every skater, sorted by net on-ice expected goals: on-ice xG against to the left of zero, for to the right, his own attempts as the solid bar, a hash at the net. The slim track under the name is ice time.

SJS
against for own net ice time
0.50.5111.51.5220Igor ChernyshovF13:49+1.07Will SmithF17:19+1.04Macklin CelebriniF17:08+0.85Sam DickinsonD13:48+0.58Tyler ToffoliF10:06+0.37Mason MarchmentF11:21+0.37Michael KesselringD17:40+0.33Luca CagnoniD10:23+0.30Michael MisaF11:21+0.25Dmitry OrlovD11:31+0.08Zack OstapchukF6:21+0.03Ivar StenbergF11:52-0.17Jacob TroubaD16:25-0.22Alexander WennbergF12:58-0.25Kiefer SherwoodF10:46-0.29Barclay GoodrowF8:13-0.67Collin GrafF10:54-0.69Darnell NurseD20:44-1.00
TOR
against for own net ice time
0.50.5111.51.5220William NylanderF16:53+1.21Kirill MarchenkoF15:11+1.13Gavin McKennaF10:39+0.86Darren RaddyshD20:40+0.71Auston MatthewsF16:47+0.51Morgan RiellyD16:11+0.41Nick PaulF14:21+0.06Easton CowanF12:59+0.00Nick BlankenburgD9:49-0.15Vinni LettieriF8:33-0.24Zack MacEwenF4:42-0.27Brandon DuhaimeF8:16-0.39Jack RoslovicF12:48-0.52Teddy BluegerF8:20-0.54Oliver Ekman-LarssonD10:59-0.59Troy StecherD16:57-0.62Colton SissonsF12:24-0.73Jake McCabeD17:10-1.23

Lines & pairs

most-used 5v5 units · when they played · on-ice xG
How to read this

The forward lines and defence pairs that actually played together most at 5v5, each with when it was on the ice across the game clock (period and power-play bands behind the strip) and on-ice xG against/for while the whole unit was out.

SJS
on ice power play penalty kill xGA xGF
FORWARD LINESL1Will SmithMacklin CelebriniIgor Chernyshov10:18+1.09L2Kiefer SherwoodMichael MisaIvar Stenberg6:28-0.05L3Tyler ToffoliAlexander WennbergMason Marchment5:42+0.25L4Barclay GoodrowZack OstapchukCollin Graf4:08+0.03DEFENCE PAIRSD1Darnell NurseMichael Kesselring15:44-0.28D2Jacob TroubaSam Dickinson10:28+0.42D3Dmitry OrlovLuca Cagnoni6:24+0.091ST2ND3RD01.751.75
TOR
on ice power play penalty kill xGA xGF
FORWARD LINESL1Nick PaulWilliam NylanderKirill Marchenko8:11+0.07L2Jack RoslovicAuston MatthewsEaston Cowan7:34-0.19L3Colton SissonsVinni LettieriGavin McKenna5:05-0.18L4Teddy BluegerBrandon DuhaimeZack MacEwen3:01-0.27DEFENCE PAIRSD1Jake McCabeDarren Raddysh12:18-0.62D2Morgan RiellyTroy Stecher10:40-0.00D3Oliver Ekman-LarssonNick Blankenburg6:11-0.211ST2ND3RD01.51.5

Matchups

5v5 · every skater against every skater, goalies first · hover a cell
SJS won the chances TOR won them full colour = a margin of 0.75 xG or more taller = more time together (full height at 12:00) on together, dead even never on together G = goalie: his row or column is each skater against the whole other team
AskarovSmithCelebriniChernyshovSherwoodMisaStenbergToffoliWennbergMarchmentGoodrowOstapchukGrafNurseKesselringTroubaDickinsonOrlovCagnoniBobrovskyPaulNylanderMarchenkoRoslovicMatthewsCowanSissonsLettieriMcKennaBluegerDuhaimeMacEwenMcCabeRaddyshRiellyStecherEkman-LarssonBlankenburgGL1L2L3L4D1D2D3GL1L2L3L4D1D2D3
How to read this

Rows are SJS's skaters, columns TOR's, grouped the way they played: forward lines (L1 = the line that played together most), then defence pairs. Each cell covers the five-on-five time those two players shared the ice. Its colour is the club that out-chanced the other in that time — expected goals for minus against — and the stronger the colour, the bigger the margin. Each cell is also raised: the taller the block, the longer the two shared the ice, up to full height at 12:00 of five-on-five time. A grey cell means they met and it came out even; an open, flat one means they never met at five-on-five.

The first row and column are the goalies. A goalie is in net for every five-on-five second, so a skater's cell against the other side's goalie is all of that skater's five-on-five time against that team — the rest of his row or column added up — and the corner where the two goalies meet is the game's five-on-five. Those cells cover far more time than any pair, so they reach full colour sooner and stand at full height, a wall along each edge of the grid. A goalie change adds a second goalie row or column, each covering his own time.

Linemates share the ice, so a line against a line reads as a block. The margin is a total, not a rate: a long matchup has room to build a big gap and a thirty-second one does not — which is what the height is there to show: a tall, strong cell is the game's story; a short, strong one is a moment. Hover (or tap) any cell for the exact time together, the xG each way, attempts and goals. One game — a strong cell is what happened, not what would happen again.

Goals

xG = the chance, before it went in
TeamScorerPeriodTimexG
SJSMason Marchment 1st13:54 0.19
TORAuston Matthews 2nd19:48 PP 0.10
TORGavin McKenna 3rd4:56 PP 0.13
TORNick Paul 3rd19:20 EN 0.45

The prediction, scored

Before puck drop the engine made TOR a 55.8% favorite, expecting a 2.94–3.32 game — TOR won 1–3, so the call landed. Every number in this section was issued before the game and is never re-graded.

pred. xGactual xG pred. 5v5actual 5v5 pred. STactual PP
SJS 2.943.78 1.743.03 0.870.52
TOR 3.323.56 1.881.85 1.161.06

Predicted 5v5 / special-teams portions come from the predicted map's strength splits (one shared scale per team pins the all-strengths total to its expected goals), so they don't sum exactly — the remainder is 4v4, 3v3, and other mixed states. The actual columns are the card's own counts (empty-net attempts excluded); the actual PP column is power-play xG only, the same bucket the predicted map's special-teams view draws.

The pregame score grid

The likeliest finals the engine saw before the game, with what actually happened marked — ■ SJS · ■ TOR.

Likeliest finals (SJS–TOR)probability
3–3 7.0% tied after regulation — OT/SO decides
2–2 6.5% tied after regulation — OT/SO decides
2–4 4.4%
4–4 4.3% tied after regulation — OT/SO decides
1–3 3.6% what happened
5.4%3.7%015.6%12.1%122.8%19.8%222.2%21.8%316.3%18.2%49.7%12.2%54.8%6.9%62.1%3.3%71.1%2.1%8+

Scoreline odds are the engine's own grid: each team's goals as a Poisson count, with the fitted adjustment for how often games end tied after regulation (ρ = 0.35), so these odds and the headline win probability come from the same numbers. The OT/SO layer is a separate fitted model and is already inside the headline win probability.

The pregame read

The engine made TOR a 55.8% favorite — TOR controls 53.0% of the predicted xG. Of SJS's 2.94 expected goals, 1.74 should come at 5v5 and 0.87 on the power play; TOR projects 1.88 at 5v5 and 1.16 on the power play. The logistic challenger put the home side at 54.3%, Elo at 60.5%.

Where the engine expected the goals

The predicted surface, issued before puck drop — not this game's shots (those are the card's map above). SJS attacks the left net, TOR the right; each end multiplies where the attacking team generates xG this season by where its opponent concedes it, scaled so each end totals the engine's expected goals. Actual shots lays the game's unblocked attempts on top: × goals, • on net, ◦ missed.

Tale of the tape

How each team fares on its own, season to date: per-game xG rates with league rank (of 32). Rank 1 is best on every row — orange ranks sit in the top third of the league, gray in the bottom third.

SJSTOR
2.90 (17th) Offense
xG for / game
2.91 (16th)
3.61 (31st) Defense
xG against / game
3.54 (30th)
0.90 (6th) Power play
PP xG / game
0.87 (9th)
1.14 (32nd) Penalty kill
PP xG conceded / game
0.88 (24th)

Season-to-date form as of the site's latest build, shown for context — the ratings the engine actually used were its own as-of-game-day state. Replay this matchup in the lab →