Slovan Bratislava vs Shakhtar Donetsk prediction
UEFA Champions LeagueRound League Stage - 6
Slovan Bratislava18:45
Wed 9 Dec
Prediction T-24hUpcoming
Shakhtar DonetskMost likelyShakhtar Donetsk win · 61%
Oddbert's view
Most likely: Shakhtar Donetsk win
Oddbert gives Shakhtar Donetsk a 61% chance of winning.
15%Slovan Bratislava
24%Draw
61%Shakhtar Donetsk
In 100 matches like this, Shakhtar Donetsk would win about 61. In the other 39 or so, Shakhtar Donetsk doesn't win.
Dot chart of 100 matches like this: Slovan Bratislava win 15, Draw 24, Shakhtar Donetsk win 61.
Each dot is one match out of 100 like this.
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Prediction
15%1Slovan BratislavaSlovan Bratislava win
24%XDrawDraw
61%2Shakhtar DonetskShakhtar Donetsk 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 14 Nov 2026
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Match previewSummary
Slovan Bratislava meet Shakhtar Donetsk. The model leans toward Shakhtar Donetsk, shaped mainly by Defensive xG form (home) and Fixture congestion (away). 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 Shakhtar Donetsk (61%), doesn't happen in about 39 of 100 matches like this.
Match context
Strength-adjusted form
Slovan Bratislava
- L0-4LL
- L0-4AR
- L0-3VS
- L1-6PSG
- W2-1CEL
↑ stronger · = even · ↓ weaker opponent
Shakhtar Donetsk
- L0-1SC
- L0-1INT
- W3-1AAF
- D1-1PE
- L1-2CP
↑ stronger · = even · ↓ weaker opponent
Injuries & absences
Slovan Bratislava
Absence data is not available for this match.
Shakhtar Donetsk
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.
Slovan Bratislava
Goals
- Scored / game
- 1.0last 10
- Conceded / game
- 2.1last 10
- xG for / game
- 0.49last 4
- xG against / game
- 3.75last 4
- Clean sheets
- 2 / 10
- BTTS
- 5 / 10
- Over 2.5
- 5 / 10
Match stats
- Corners
- 2.6last 10
- Shots
- 10.7last 10
- Shots on target
- 3.8last 10
- Fouls
- 10.0last 6
- Yellow cards
- 1.9last 10
Key players
Player data from 9 of 10 matches
- Sandro Cruz0G 3A9 apps
- A. Šporar2G 0A6 apps
- A. Yirajang2G 0A6 apps
Shakhtar Donetsk
Goals
- Scored / game
- 1.5last 10
- Conceded / game
- 1.4last 10
- xG for / game
- 1.07last 10
- xG against / game
- 1.25last 10
- Clean sheets
- 1 / 10
- BTTS
- 7 / 10
- Over 2.5
- 7 / 10
Match stats
- Corners
- 4.9last 10
- Shots
- 13.0last 10
- Shots on target
- 4.1last 10
- Fouls
- 11.4last 10
- Yellow cards
- 2.5last 10
Key players
- Alisson Santana3G 1A10 apps
- Kauã Elias0G 3A10 apps
- Pedrinho2G 0A7 apps
Line movement
Slovan Bratislava—
No line movement recorded yet
Draw—
No line movement recorded yet
Shakhtar Donetsk—
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 Shakhtar Donetsk, shaped mainly by Defensive xG form (home) and Fixture congestion (away). 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
Defensive xG form (home)4.62Fixture congestion (away)0.00Pi-rating edge-0.42Expected goals (home)0.24Goal drought (away)2.00Elo difference (team-tuned home advantage)-41.9
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.