Gladiator vs Cavese: result 1-3 and analysis
Serie D - Girone HGroup H - 8Kick-off on October 23, 2022 at 01:00 PM (UTC)Stadio Mario Piccirillo, Santa Maria Capua Vetere
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What was the result of Gladiator vs Cavese?
Cavese won 1-3 on October 23, 2022.
Goalscorers
- 14′?Gladiator
- 20′?Cavese
- 64′?Cavese
- 80′?Cavese
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gladiator have 5 wins, 4 draws and 6 defeats; Cavese have 10, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2022 | Nardò(home) | 0-0 | Serie D - Girone H |
| Oct 9, 2022 | Molfetta Calcio(away) | 3-3 | Serie D - Girone H |
| Oct 2, 2022 | Puteolana(home) | 2-1 | Serie D - Girone H |
| Sep 28, 2022 | Città di Fasano(away) | 0-1 | Serie D - Girone H |
| Sep 18, 2022 | Matera(home) | 2-1 | Serie D - Girone H |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2022 | Città di Fasano(home) | 2-2 | Serie D - Girone H |
| Oct 9, 2022 | Nardò(away) | 1-1 | Serie D - Girone H |
| Oct 2, 2022 | Matera(home) | 4-0 | Serie D - Girone H |
| Sep 28, 2022 | Puteolana(away) | 3-0 | Serie D - Girone H |
| Sep 18, 2022 | Barletta(home) | 0-1 | Serie D - Girone H |
How many goals should we expect?
Gladiator score 1.3 and concede 1.3 goals per match over their last 15; Cavese score 1.8 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gladiator | 1.3 | 1.3 | 2 | 9/15 | 8/15 |
| Cavese | 1.8 | 0.6 | 8 | 6/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Gladiator | 7 | 2 | 2 | 3 | 10 | 12 | 8 |
A question about Gladiator 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