Bayern München vs RB Leipzig prediction
BundesligaRound 6
Bayern München18:30
Sat 17 Oct
Prediction T-24h
RB LeipzigMost likelyBayern München win · 77%
Best price1.26 Onexbet
Prediction
77%1Bayern Münchenmarket 80%
14%XDrawmarket 12%
9%2RB Leipzigmarket 8%
Bayern München-3.0 ppDraw+2.6 ppRB Leipzig+0.4 pp
Market-anchored: consensus (book median) + model lean (max ±3 pp)
These are calibrated probabilities. See how closely they've matched real outcomes
Prediction as of 12 Oct 2026
Odds comparison
| Bookmaker | Bayern Münchenpays 3% more than the typical book | Drawpays 13% more than the typical book | RB Leipzigpays 19% more than the typical book |
|---|---|---|---|
| Bet365 | 1.22 | 7.00 | 9.50 |
| Betano | 1.25 | 7.00 | 9.50 |
| Betfair | 1.18 | 7.50 | 10.00 |
| Betvictor | 1.18 | 7.00 | 9.00 |
| Dafabet | 1.23 | 7.80 | 9.40 |
| Marathonbet | 1.24 | 6.95 | 10.75 |
| Onexbet | 1.26best | 7.34 | 11.30best |
| Pinnacle | 1.24 | 7.92best | 9.50 |
| Sbo | 1.20 | 6.38 | 7.53 |
| William Hill | 1.22 | 6.50 | 9.00 |
Bookmaker names shown for reference only. No affiliate links.
Stake sizer
Two ways to size a hypothetical stake on the model's call — Bayern München at 1.26 (Onexbet).
units
Stays in your browser — never sent to us.
Follow sizing
10.00units
Flat 1% of bankroll — the same rule as our public AI bankroll simulation.
Edge sizing
0 — no edge at this price
Quarter-Kelly at the best listed price, with a hard 5%-of-bankroll cap.
Hypothetical sizing in currency-neutral units, not betting advice. Predictions are probabilities, not guarantees. 18+.
Match context
Strength-adjusted form
Bayern München
- D2-2FA
- W7-0UB
- W2-1SE
- W5-0BOD
- D0-0FS0
↑ stronger · = even · ↓ weaker opponent
RB Leipzig
- W6-0EF
- L0-2BL
- W5-0HS
- L1-4COM
- L1-3WB
↑ stronger · = even · ↓ weaker opponent
Injuries & absences
Bayern München
No reported absences.
RB Leipzig
No reported absences.
Head to head
Bayern München 3Draws 1RB Leipzig 0
- RL 1-5 BM
- BM 6-0 RL
- RL 3-3 BM
- BM 5-1 RL
Recent form
Recent form — context only, not a tip.
Bayern München
Goals
- Scored / game
- 3.1last 10
- Conceded / game
- 0.9last 10
- xG for / game
- 2.92last 9
- xG against / game
- 1.38last 9
- Clean sheets
- 4 / 10
- BTTS
- 6 / 10
- Over 2.5
- 7 / 10
Match stats
- Corners
- 7.5last 10
- Shots
- 21.8last 10
- Shots on target
- 8.6last 10
- Fouls
- 8.1last 10
- Yellow cards
- 1.1last 10
RB Leipzig
Goals
- Scored / game
- 2.3last 10
- Conceded / game
- 1.9last 10
- xG for / game
- 2.36last 9
- xG against / game
- 1.53last 9
- Clean sheets
- 3 / 10
- BTTS
- 6 / 10
- Over 2.5
- 9 / 10
Match stats
- Corners
- 5.3last 10
- Shots
- 17.0last 10
- Shots on target
- 6.5last 10
- Fouls
- 9.3last 10
- Yellow cards
- 1.6last 10
Line movement
Bayern München—
No line movement recorded yet
Draw—
No line movement recorded yet
RB Leipzig—
No line movement recorded yet
Under the hood
How the model sees this match — the drivers and, after full-time, how the prediction scored.
Why this prediction
ExplanationAI · grounded
The model leans toward a Bayern München result here, shaped mainly by Elo difference (team-tuned home advantage) and Pi-rating edge. The probabilities come from the model — the prose only narrates them.
The AI writes the prose. It never produces or adjusts a probability — those come only from the model.
How we make these predictionsTop model factors
Elo difference (team-tuned home advantage)450Pi-rating edge1.82Attacking xG form (home)4.54Attacking xG form (away)2.81Home advantage (team-tuned)107Home form (home)11.0
The driver chips attribute the gradient-boosted component of an ensemble whose headline is additionally anchored to the market where a consensus exists — they explain that part of the number, not all of it.