Gladiator vs Ischia: result 1-2 and analysis
Serie D - Girone GGroup G - 14Kick-off on December 3, 2023 at 01:30 PM (UTC)Stadio Mario Piccirillo, Santa Maria Capua Vetere
Full time
What was the result of Gladiator vs Ischia?
Ischia won 1-2 on December 3, 2023.
Goalscorers
- 31′?Ischia
- 46′Luigi CastaldoGladiator
- 68′?Ischia
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gladiator have 2 wins, 4 draws and 9 defeats; Ischia have 4, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 26, 2023 | Romana(away) | 0-2 | Serie D - Girone G |
| Nov 18, 2023 | Latte Dolce(home) | 0-1 | Serie D - Girone G |
| Nov 12, 2023 | Anzio(away) | 3-1 | Serie D - Girone G |
| Nov 5, 2023 | Cassino(home) | 0-2 | Serie D - Girone G |
| Nov 1, 2023 | Boreale(away) | 2-0 | Serie D - Girone G |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 26, 2023 | Atletico Uri(away) | 1-0 | Serie D - Girone G |
| Nov 19, 2023 | Albalonga(home) | 1-1 | Serie D - Girone G |
| Nov 12, 2023 | Romana(away) | 2-2 | Serie D - Girone G |
| Nov 5, 2023 | Latte Dolce(home) | 2-1 | Serie D - Girone G |
| Nov 1, 2023 | Anzio(away) | 1-1 | Serie D - Girone G |
How many goals should we expect?
Gladiator score 0.9 and concede 1.7 goals per match over their last 15; Ischia score 1.4 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gladiator | 0.9 | 1.7 | 1 | 8/15 | 6/15 |
| Ischia | 1.4 | 1.1 | 4 | 9/14 | 6/14 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Ischia | 34 | 12 | 7 | 15 | 36 | 52 | 43 |
A question about Gladiator vs Ischia?
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