Real Madrid vs Sevilla prediction
La LigaRound 9
Real Madrid21:00
Sun 18 Oct
Prediction T-24h
SevillaMost likelyReal Madrid win · 76%
Best price1.30 Onexbet
Prediction
76%1Real Madridmarket 79%
15%XDrawmarket 13%
9%2Sevillamarket 8%
Real Madrid-3.0 ppDraw+2.2 ppSevilla+0.9 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 | Real Madridpays 4% more than the typical book | Drawpays 8% more than the typical book | Sevillapays 7% more than the typical book |
|---|---|---|---|
| Bet365 | 1.25 | 7.00best | 9.00 |
| Betano | 1.25 | 6.50 | 10.75best |
| Betfair | 1.22 | 6.50 | 10.00 |
| Betvictor | 1.20 | 6.00 | 10.50 |
| Dafabet | 1.24 | 6.80 | 10.00 |
| Marathonbet | 1.27 | 6.30 | 10.25 |
| Onexbet | 1.30best | 6.61 | 10.70 |
| Pinnacle | 1.25 | 6.56 | 10.32 |
| Sbo | 1.23 | 5.61 | 7.91 |
| William Hill | 1.25 | 5.80 | 9.50 |
Bookmaker names shown for reference only. No affiliate links.
Stake sizer
Two ways to size a hypothetical stake on the model's call — Real Madrid at 1.30 (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
Real Madrid
- W1-0VIL
- L1-2AM
- W3-2ELC
- W4-1RV
- W2-1INT
↑ stronger · = even · ↓ weaker opponent
Sevilla
- L1-3BAR
- W1-0DLC
- W1-0VAL
- D1-1ESP
- L1-3AM
↑ stronger · = even · ↓ weaker opponent
Injuries & absences
Real Madrid
No reported absences.
Sevilla
No reported absences.
Head to head
Real Madrid 4Draws 0Sevilla 0
- SEV 0-1 RM
- RM 2-0 SEV
- SEV 0-2 RM
- RM 4-2 SEV
Recent form
Recent form — context only, not a tip.
Real Madrid
Goals
- Scored / game
- 2.5last 10
- Conceded / game
- 1.1last 10
- xG for / game
- 2.43last 9
- xG against / game
- 1.00last 9
- Clean sheets
- 2 / 10
- BTTS
- 7 / 10
- Over 2.5
- 8 / 10
Match stats
- Corners
- 6.3last 10
- Shots
- 17.2last 10
- Shots on target
- 7.3last 10
- Fouls
- 8.5last 10
- Yellow cards
- 2.0last 10
Sevilla
Goals
- Scored / game
- 1.3last 10
- Conceded / game
- 1.3last 10
- xG for / game
- 0.85last 10
- xG against / game
- 1.24last 10
- Clean sheets
- 2 / 10
- BTTS
- 6 / 10
- Over 2.5
- 5 / 10
Match stats
- Corners
- 3.4last 10
- Shots
- 11.3last 10
- Shots on target
- 4.2last 10
- Fouls
- 14.8last 10
- Yellow cards
- 2.6last 10
Line movement
Real Madrid—
No line movement recorded yet
Draw—
No line movement recorded yet
Sevilla—
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 Real Madrid result here, shaped mainly by Pi-rating edge and Elo difference (team-tuned home advantage). 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
Pi-rating edge1.47Elo difference (team-tuned home advantage)439Defensive xG form (home)2.77Home advantage (team-tuned)130Home form (home)12.4Attacking xG form (away)0.70
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.