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Bayern Munich v Paderborn — Prediction, Odds & Stats

Saturday 5 December 2026 · GER-Bundesliga · 2627

Bundesliga xG Prediction generated

AI prediction

ai-blend v1.0 daily
Bayern Munich win
87.2%
Draw
8.8%
Paderborn win
4.0%

Raw model output; no calibration record for this fixture's bands yet.

Top 5 scorelines

  1. 3-0 11.6%
  2. 2-0 10.6%
  3. 4-0 9.6%
  4. 3-1 7.5%
  5. 2-1 6.8%

Goals

Over 2.575.4% Under 2.524.6%
BTTS yes45.5% BTTS no54.5%
Bayern Munich 1+96.3% Bayern Munich 2+84.3%
Paderborn 1+47.3% Paderborn 2+13.5%

Expected goals 3.31 – 0.64. Every market above is read off one scoreline distribution.

Footing

AI confidence
81/100
Data quality
70/100
Model agreement
97%
★ 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

  • Bayern Munich carry the stronger rating, 1948 Elo against 1486.
  • Form is good: 2.20 points a match from the last five.

Risk factors

  • Paderborn have only 6 matches on record.
Why the model thinks this

The price

Bayern Munich have an estimated 87.2% win probability, against 8.8% for the draw and 4.0% for Paderborn. Expected goals from the ensemble are 3.31 for Bayern Munich and 0.64 for Paderborn.

Why Bayern Munich

Bayern Munich carry the stronger rating, 1948 Elo against 1486. Form is good: 2.20 points a match from the last five.

Why the draw is live

The draw sits at 8.8%. Draws run at 25% in this competition.

Why Paderborn can win

Away from home Paderborn average 0.79 xG a match. Their last eleven was closer to full strength: Bayern Munich were missing 0.94 expected goal involvements a match against 0.31.

Key players

Bayern Munich's leading contributors by expected goal involvements a match: Harry Kane (1.03), Michael Olise (0.72), Luis Díaz (0.64). Paderborn's leading contributors by expected goal involvements a match: Laurin Curda (0.29), Marvin Pieringer (0.26), Stefano Marino (0.24).

Availability

Bayern Munich changed goalkeeper for their last match. 1 of Paderborn's top three contributors did not start their last match.

The matchup, as far as the data reaches

Bayern Munich: 71% possession, 25.0 shots a match, 7.2 faced, 0.65 xG a match from set pieces. Paderborn: 46% possession, 14.2 shots a match, 17.8 faced, 0.14 xG a match from set pieces. Bayern Munich's shot volume meets a defence that concedes shots freely.

Inputs last refreshed: matches 2026-10-23 14:52 · team_stats 2026-10-20 06:04 · availability 2026-10-23 14:58 · prediction 2026-09-18 10:37 ·

Bayern Munich are the model's most likely outcome at 87.2%. The likeliest scoreline is 3-0 at 11.6%. Confidence 81/100, data quality 70/100. 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

Bayern Munich are finishing above their chances — 3.2 goals more than expected across 10 matches, which usually cools off. They are also conceding fewer than expected — 3.5 goals saved beyond what the chances suggest.

WDWWWDWWDW last 10 scored 35 from 31.8 xG conceded 12 from 15.5 xG

Paderborn are conceding fewer than expected — 3.8 goals saved beyond what the chances suggest.

DLLWLD last 6 scored 5 from 6.5 xG conceded 9 from 12.8 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
ai-blend 3.31–0.64 0% 0% 0%
dc-xg 3.98–0.76 3-0 9% 85% 52%

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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