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Bayern Munich v Arsenal — Prediction, Odds & Stats

Wednesday 21 October 2026 · EUR-Champions League · 2627

Champions League results-only Prediction generated

AI prediction

ai-blend v1.0 daily
Bayern Munich win
38.3%
model 36.5%
Draw
23.3%
model 23.7%
Arsenal win
38.3%
model 39.8%

Calibrated: the model's number corrected by how often calls at that confidence have landed, out of sample (5,276 settled matches in the thinnest band), then normalised. The smaller figure is the raw model output.

Top 5 scorelines

  1. 1-1 11.0%
  2. 1-2 8.6%
  3. 0-1 8.5%
  4. 2-1 8.2%
  5. 1-0 8.1%

Goals

Over 2.555.9% Under 2.544.1%
BTTS yes58.5% BTTS no41.5%
Bayern Munich 1+75.9% Bayern Munich 2+41.6%
Arsenal 1+77.6% Arsenal 2+44.2%

Expected goals 1.42 – 1.50. Every market above is read off one scoreline distribution.

Footing

AI confidence
84/100
Data quality
80/100
Model agreement
94%
★ 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

  • Form is good: 2.60 points a match from the last five.

Risk factors

  • No specific risk flags beyond the usual variance of a football match.
Why the model thinks this

The price

Arsenal have an estimated 38.3% win probability, against 38.3% for Bayern Munich and 23.3% for the draw. Expected goals from the ensemble are 1.42 for Bayern Munich and 1.50 for Arsenal.

Why Bayern Munich

Bayern Munich carry the stronger rating, 1947 Elo against 1907. Form is good: 2.20 points a match from the last five.

Why the draw is live

The draw sits at 23.3%. The sides are closely matched on expected goals, 1.42 to 1.50. Draws run at 16% in this competition.

Why Arsenal can win

Form is good: 2.60 points a match from the last five.

Key players

Bayern Munich's leading contributors by expected goal involvements a match: Harry Kane (0.93), Michael Olise (0.71), Luis Díaz (0.63). Arsenal's leading contributors by expected goal involvements a match: Bukayo Saka (0.49), Kai Havertz (0.45), Viktor Gyokeres (0.41).

Availability

1 of Arsenal's top three contributors did not start their last match.

The matchup, as far as the data reaches

Bayern Munich: 63% possession, 19.4 shots a match, 11.6 faced, 0.50 xG a match from set pieces. Arsenal: 54% possession, 12.8 shots a match, 9.0 faced, 0.48 xG a match from set pieces.

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 ·

Arsenal are the model's most likely outcome at 38.3%. The likeliest scoreline is 1-1 at 11.0%. Confidence 84/100, 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.

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

Bayern Munich are conceding fewer than expected — 3.2 goals saved beyond what the chances suggest.

WWWWWDWWWD last 10 scored 34 from 32.8 xG conceded 12 from 15.2 xG

Arsenal are finishing sharply below their chances — 6.9 goals fewer than expected across 10 matches, despite creating the openings. They are also conceding fewer than expected — 3.4 goals saved beyond what the chances suggest.

LLWWWWWWWW last 10 scored 16 from 22.9 xG conceded 6 from 9.4 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 1.19–1.51 1-1 12% 51% 54%

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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