Juventus vs Lazio prediction
Serie ARound 7
Juventus20:45
Sun 18 Oct
Prediction T-24h
LazioMost likelyJuventus win · 56%
Best price1.69 Onexbet
Prediction
56%1Juventusmarket 59%
25%XDrawmarket 24%
19%2Laziomarket 17%
Juventus-3.0 ppDraw+1.1 ppLazio+1.9 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 | Juventuspays 2% more than the typical book | Drawpays 6% more than the typical book | Laziopays 10% more than the typical book |
|---|---|---|---|
| Bet365 | 1.67 | 3.70 | 5.00 |
| Betano | 1.65 | 3.95 | 5.30 |
| Betfair | 1.67 | 3.80 | 5.00 |
| Betvictor | 1.62 | 3.75 | 5.25 |
| Dafabet | 1.67 | 3.90 | 5.20 |
| Marathonbet | 1.64 | 3.92 | 5.55 |
| Onexbet | 1.69best | 4.04best | 5.71best |
| Pinnacle | 1.65 | 3.95 | 5.44 |
| Sbo | 1.60 | 3.50 | 4.58 |
| William Hill | 1.62 | 3.70 | 5.00 |
Bookmaker names shown for reference only. No affiliate links.
Stake sizer
Two ways to size a hypothetical stake on the model's call — Juventus at 1.69 (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
Juventus
- D1-1CAG
- W2-0ATA
- L2-3SAS
- D1-1AM
- W2-0PAR
↑ stronger · = even · ↓ weaker opponent
Lazio
- W3-1MON
- W2-0VEN
- D2-2AM
- W2-1UDI
- W1-0GEN
↑ stronger · = even · ↓ weaker opponent
Injuries & absences
Juventus
No reported absences.
Lazio
No reported absences.
Head to head
Juventus 1Draws 2Lazio 1
- JUV 2-2 LAZ
- LAZ 1-0 JUV
- LAZ 1-1 JUV
- JUV 1-0 LAZ
Recent form
Recent form — context only, not a tip.
Juventus
Goals
- Scored / game
- 1.3last 10
- Conceded / game
- 1.0last 10
- xG for / game
- 1.85last 10
- xG against / game
- 0.54last 10
- Clean sheets
- 4 / 10
- BTTS
- 5 / 10
- Over 2.5
- 2 / 10
Match stats
- Corners
- 8.5last 10
- Shots
- 19.7last 10
- Shots on target
- 6.5last 10
- Fouls
- 13.4last 10
- Yellow cards
- 1.4last 10
Key players
- Randal Kolo Muani1G 0A1 apps
- Kerim-Sam Alajbegović0G 1A1 apps
Lazio
Goals
- Scored / game
- 1.5last 10
- Conceded / game
- 1.1last 10
- xG for / game
- 1.25last 10
- xG against / game
- 1.26last 10
- Clean sheets
- 3 / 10
- BTTS
- 5 / 10
- Over 2.5
- 6 / 10
Match stats
- Corners
- 4.5last 10
- Shots
- 11.9last 10
- Shots on target
- 4.5last 10
- Fouls
- 12.8last 10
- Yellow cards
- 2.0last 10
Line movement
Juventus—
No line movement recorded yet
Draw—
No line movement recorded yet
Lazio—
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 Juventus result here, shaped mainly by Pi-rating edge and Defensive xG form (home). 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 edge0.46Defensive xG form (home)0.51Attacking xG form (away)1.73League id135What's at stake (away)0.15Recent form (home)5.13
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.