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VfB Stuttgart v Atletico Madrid — Prediction, Odds & Stats

Tuesday 20 October 2026 · EUR-Champions League · 2627

Champions League results-only Prediction generated

AI prediction

ai-blend v1.0 daily
VfB Stuttgart win
37.0%
model 36.0%
Draw
22.5%
model 22.1%
Atletico Madrid win
40.5%
model 41.9%

Calibrated: the model's number corrected by how often calls at that confidence have landed, out of sample (4,353 settled matches in the thinnest band), then normalised. The smaller figure is the raw model output.

Top 5 scorelines

  1. 1-1 9.6%
  2. 1-2 8.6%
  3. 2-1 7.9%
  4. 2-2 6.8%
  5. 0-1 6.7%

Goals

Over 2.564.3% Under 2.535.7%
BTTS yes65.0% BTTS no35.0%
VfB Stuttgart 1+79.5% VfB Stuttgart 2+47.0%
Atletico Madrid 1+82.2% Atletico Madrid 2+51.5%

Expected goals 1.59 – 1.73. Every market above is read off one scoreline distribution.

Footing

AI confidence
72/100
Data quality
80/100
Model agreement
80%
★ Best pick
Nothing on a measured band prices above 1.18 here.
★ Most likely to land
Nothing on a measured band prices above 1.18 here.

Positive factors

  • Nothing in the data singles out Atletico Madrid.

Risk factors

  • The component models disagree more than usual (agreement 0.80).
Why the model thinks this

The price

Atletico Madrid have an estimated 40.5% win probability, against 37.0% for VfB Stuttgart and 22.5% for the draw. Expected goals from the ensemble are 1.58 for VfB Stuttgart and 1.73 for Atletico Madrid.

Why VfB Stuttgart

VfB Stuttgart carry the stronger rating, 1658 Elo against 1630. At home VfB Stuttgart average 2.67 xG a match. Their last eleven was closer to full strength: Atletico Madrid were missing 1.12 expected goal involvements a match against 0.71.

Why the draw is live

The draw sits at 22.5%. The sides are closely matched on expected goals, 1.58 to 1.73. Draws run at 16% in this competition.

Why Atletico Madrid can win

Nothing in the data singles out Atletico Madrid.

Key players

VfB Stuttgart's leading contributors by expected goal involvements a match: Deniz Undav (0.64), Dzenan Pejcinovic (0.41), Ermedin Demirovic (0.40). Atletico Madrid's leading contributors by expected goal involvements a match: Alexander Sørloth (0.43), Julián Álvarez (0.42), Antoine Griezmann (0.34).

Availability

1 of VfB Stuttgart's top three contributors did not start their last match. 27% of VfB Stuttgart's last eleven are new to the club this window. 3 of Atletico Madrid's top three contributors did not start their last match. 27% of Atletico Madrid's last eleven are new to the club this window.

The matchup, as far as the data reaches

VfB Stuttgart: 47% possession, 16.2 shots a match, 16.0 faced, 0.49 xG a match from set pieces. Atletico Madrid: 53% possession, 14.0 shots a match, 15.4 faced, 0.46 xG a match from set pieces. VfB Stuttgart's shot volume meets a defence that concedes shots freely.

Inputs last refreshed: matches 2026-09-05 22:20 · team_stats 2026-09-05 09:41 · availability 2026-09-05 21:03 · prediction 2026-09-05 18:39 ·

Atletico Madrid are the model's most likely outcome at 40.5%. The likeliest scoreline is 1-1 at 9.6%. Confidence 72/100, data quality 80/100. These are probabilities, not certainties: the less likely outcome happens as often as its number says.

Written from the numbers the model saw, not by a language model; nothing here is a statistic the snapshot does not hold. How predictions work.

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Was this pick made in advance?
A model whose name ends -oos is out of sample: it was fitted only on matches played before this one, so its pick is a genuine forecast rather than hindsight. Anything without that suffix was fitted on all available data.

What the chances say

VfB Stuttgart have scored 25 from 23.3 expected and conceded 21 from 22.0 — both ends in line with the chances, so the recent record is a fair reflection.

WLWLDDWDLW last 10 scored 25 from 23.3 xG conceded 21 from 22.0 xG

Atletico Madrid have scored 16 from 17.5 expected and conceded 15 from 16.0 — both ends in line with the chances, so the recent record is a fair reflection.

WWLWWLWDWL last 10 scored 16 from 17.5 xG conceded 15 from 16.0 xG

Finishing swings far more than chance creation, so a gap this size usually narrows. Over ten matches it is suggestive, not settled — a genuinely elite finisher beats expected goals for years.

What the model said

ModelHome / Draw / Away Expected goalsLikeliest score O2.5BTTS
dc-xg 1.32–2.40 1-2 9% 72% 66%

A model whose name ends -oos was produced by the walk-forward backtest: it was fitted only on matches played before this one, so the pick is genuinely out of sample.

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On this page

Match

What this page is for

One fixture in full. The model's probability for every market it prices, the prices stored against them, the teams expected to feature, and for a match already played, the shot map and the xG timeline.

How to read the shot map

Every shot is placed where it was taken and sized by its chance of being scored. A cluster of small marks from distance and a clean sheet is a side that was busy without ever threatening; two big marks and a defeat is a side that had the better of it and lost anyway. Both happen constantly, and both are invisible in the score.

How to read the xG timeline

The steps are chances as they arrived, so the shape shows who was on top and when. A flat line that jumps once near the end is a smash and grab.

Things to watch

The stored prediction is the one made before the match, kept deliberately so it can be judged afterwards. It is not re-fitted with hindsight.

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