Ossese vs Venafro: result 1-1 and analysis
Serie D - Girone GGroup G - 7Kick-off on October 11, 2026 at 01:00 PM (UTC)
Full time
What was the result of Ossese vs Venafro?
Ossese and Venafro drew 1-1 on October 11, 2026.
Goalscorers
- 21′?Venafro
- 23′?Ossese
What is the recent form of both teams?
Over their last 6 matches in all competitions, Ossese have 3 wins, 2 draws and 1 defeat; Venafro have 1, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2026 | Afragolese(away) | 2-0 | Serie D - Girone G |
| Sep 27, 2026 | Sarnese(home) | 2-2 | Serie D - Girone G |
| Sep 20, 2026 | Unipomezia(away) | 0-2 | Serie D - Girone G |
| Sep 16, 2026 | Trastevere(home) | 1-1 | Serie D - Girone G |
| Sep 12, 2026 | Certosa V. Campagnano(away) | 1-0 | Serie D - Girone G |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2026 | Gelbison(away) | 1-0 | Serie D - Girone G |
| Sep 27, 2026 | Budoni(home) | 2-3 | Serie D - Girone G |
| Sep 20, 2026 | Afragolese(away) | 0-4 | Serie D - Girone G |
| Sep 16, 2026 | Sarnese(home) | 0-1 | Serie D - Girone G |
| Sep 13, 2026 | Unipomezia(away) | 1-1 | Serie D - Girone G |
How many goals should we expect?
Ossese score 1.5 and concede 0.8 goals per match over their last 6; Venafro score 0.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ossese | 1.5 | 0.8 | 3 | 2/6 | 2/6 |
| Venafro | 0.7 | 1.7 | 1 | 2/6 | 2/6 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
Ossese sit 5th in Serie D - Girone G (11 points from 6 matches) and Venafro sit 17th (4 points from 6 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Ossese | 6 | 3 | 2 | 1 | 9 | 5 | 11 |
| 17 | Venafro | 6 | 1 | 1 | 4 | 4 | 10 | 4 |
A question about Ossese vs Venafro?
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy