Bitonto vs Cavese: result 1-2 and analysis
Serie D - Girone HGroup H - 27Kick-off on March 12, 2023 at 01:30 PM (UTC)Campo Sportivo Comunale Città degli Ulivi, Bitonto
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What was the result of Bitonto vs Cavese?
Cavese won 1-2 on March 12, 2023.
Goalscorers
- 35′?Bitonto
- 85′C. FoggiaCavese
- 90′?Cavese
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bitonto have 8 wins, 3 draws and 4 defeats; Cavese have 8, 6 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 5, 2023 | Nardò(away) | 0-3 | Serie D - Girone H |
| Feb 26, 2023 | Molfetta Calcio(home) | 3-1 | Serie D - Girone H |
| Feb 18, 2023 | Puteolana(away) | 0-5 | Serie D - Girone H |
| Feb 12, 2023 | Città di Fasano(home) | 6-3 | Serie D - Girone H |
| Feb 4, 2023 | Barletta(away) | 1-2 | Serie D - Girone H |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 5, 2023 | Molfetta Calcio(away) | 2-1 | Serie D - Girone H |
| Feb 26, 2023 | Gladiator(home) | 5-3 | Serie D - Girone H |
| Feb 22, 2023 | Lamezia Terme(away) | 1-1 | Coppa Italia Serie D |
| Feb 19, 2023 | Città di Fasano(away) | 1-1 | Serie D - Girone H |
| Feb 12, 2023 | Nardò(home) | 0-0 | Serie D - Girone H |
What does the head-to-head say?
In the last meeting: 0 Bitonto wins, 0 draws, 1 Cavese win.
| Date | Score | Competition |
|---|---|---|
| Nov 6, 2022 | Cavese 1-0 Bitonto | Serie D - Girone H |
How many goals should we expect?
Bitonto score 1.8 and concede 1.5 goals per match over their last 15; Cavese score 1.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bitonto | 1.8 | 1.5 | 3 | 9/15 | 10/15 |
| Cavese | 1.5 | 0.9 | 5 | 10/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about Bitonto vs Cavese?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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