Bayern München vs Slavia Praha prediction
UEFA Champions LeagueRound League Stage - 6
Bayern München21:00
Tue 8 Dec
Prediction T-24hUpcoming
Slavia PrahaMost likelyBayern München win · 85%
Oddbert's view
Most likely: Bayern München win
Oddbert gives Bayern München a 85% chance of winning.
85%Bayern München
8%Draw
7%Slavia Praha
In 100 matches like this, Bayern München would win about 85. In the other 15 or so, Bayern München doesn't win.
Dot chart of 100 matches like this: Bayern München win 85, Draw 8, Slavia Praha win 7.
Each dot is one match out of 100 like this.
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Prediction
85%1Bayern MünchenBayern München win
8%XDrawDraw
7%2Slavia PrahaSlavia Praha win
No bookmaker price at forecast time — model onlyNo bookmaker had priced this match when this forecast was made, so it is our model on its own, with no market check.
These are calibrated probabilities. See how closely they've matched real outcomes
Prediction as of 12 Nov 2026
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Saves the match under My matches in this browserGuess the result — no money, no points. After the match you'll see your guess next to Oddbert's chance and the result.
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Match previewSummary
Bayern München meet Slavia Praha. The model leans toward Bayern München, shaped mainly by Pi-rating edge and Elo difference (team-tuned home advantage). See the probability bar above for the exact figures.
Written from the model's main factors with a fixed template, not by the AI. The probabilities come only from our forecast.
Odds comparisonBookmaker odds
Odds include the bookmaker's margin.
Words explained:
No price from a Danish-licensed bookmaker yet
We only show prices from bookmakers with a Danish licence (Spillemyndigheden).
Bookmaker names shown for reference only. No affiliate links.Bookmakers' names are here for reference only. We don't link to them.
Bookmaker odds are turned off. You can turn them back on under Display at the bottom of the page.
Stake sizer
No price from a Danish-licensed bookmaker is recorded for this outcome right now, so we size nothing.
Hypothetical sizing in currency-neutral units, not betting advice. Predictions are probabilities, not guarantees. 18+.
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Even the most likely result, a win for Bayern München (85%), doesn't happen in about 15 of 100 matches like this.
Match context
Strength-adjusted form
Bayern München
- W2-1FM0
- W2-0AM
- D2-2BD
- W3-1SF
- D2-2ARS
↑ stronger · = even · ↓ weaker opponent
Slavia Praha
- L1-2ARS
- D2-2FEN
- L0-2SF
- L2-3LEN
- L1-4PAF
↑ stronger · = even · ↓ weaker opponent
Injuries & absences
Bayern München
Absence data is not available for this match.
Slavia Praha
Absence data is not available for this match.
Head to head
No previous meetings on record.
Recent form
Recent form — context only, not a tip.
Bayern München
Goals
- Scored / game
- 3.1last 10
- Conceded / game
- 1.3last 10
- xG for / game
- 3.25last 10
- xG against / game
- 0.99last 10
- Clean sheets
- 2 / 10
- BTTS
- 8 / 10
- Over 2.5
- 9 / 10
Match stats
- Corners
- 7.9last 10
- Shots
- 23.3last 10
- Shots on target
- 8.9last 10
- Fouls
- 9.7last 10
- Yellow cards
- 1.0last 10
Key players
- H. Kane7G 10A10 apps
- M. Olise5G 3A9 apps
- L. Diaz4G 1A6 apps
Slavia Praha
Goals
- Scored / game
- 0.8last 10
- Conceded / game
- 2.3last 10
- xG for / game
- 1.34last 10
- xG against / game
- 1.71last 10
- Clean sheets
- 2 / 10
- BTTS
- 5 / 10
- Over 2.5
- 7 / 10
Match stats
- Corners
- 4.0last 10
- Shots
- 13.9last 10
- Shots on target
- 4.1last 10
- Fouls
- 15.7last 10
- Yellow cards
- 1.6last 10
Key players
- D. Šturm2G 0A4 apps
- L. Provod1G 0A8 apps
- Vasil Kušej1G 0A5 apps
Line movement
Bayern München—
No line movement recorded yet
Draw—
No line movement recorded yet
Slavia Praha—
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
ExplanationSummary
The model leans toward Bayern München, shaped mainly by Pi-rating edge and Elo difference (team-tuned home advantage). This is our own view, not a proven edge. See the probability bar and factor chips above for the exact figures.
Written from the model's main factors with a fixed template, not by the AI. The probabilities come only from our forecast.
How we make these predictionsTop model factors
Pi-rating edge2.27Elo difference (team-tuned home advantage)662Expected goals (home)6.37Recent form (home)8.54What's at stake (home)0.11Recent form (away)0.82
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.