Caldiero Terme vs Clodiense: result 0-1 and analysis
Serie D - Girone CRegular Season - 13Kick-off on November 10, 2019 at 01:30 PM (UTC)Stadio Comunale di Caldiero, Caldiero
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What was the result of Caldiero Terme vs Clodiense?
Clodiense won 0-1 on November 10, 2019.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Caldiero Terme have 5 wins, 2 draws and 5 defeats; Clodiense have 4, 6 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2019 | San Luigi(away) | 0-2 | Serie D - Girone C |
| Oct 30, 2019 | Cjarlins Muzane(home) | 0-1 | Serie D - Girone C |
| Oct 26, 2019 | Delta Porto Tolle(away) | 0-2 | Serie D - Girone C |
| Oct 20, 2019 | Tamai(home) | 1-0 | Serie D - Girone C |
| Oct 13, 2019 | Union Feltre(away) | 1-1 | Serie D - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2019 | Cartigliano(home) | 2-3 | Serie D - Girone C |
| Oct 30, 2019 | Legnago Salus(away) | 0-0 | Serie D - Girone C |
| Oct 26, 2019 | Campodarsego(home) | 1-0 | Serie D - Girone C |
| Oct 20, 2019 | Adriese(away) | 0-2 | Serie D - Girone C |
| Oct 13, 2019 | Luparense(home) | 1-1 | Serie D - Girone C |
How many goals should we expect?
Caldiero Terme score 0.7 and concede 1.0 goals per match over their last 12; Clodiense score 1.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Caldiero Terme | 0.7 | 1.0 | 5 | 3/12 | 1/12 |
| Clodiense | 1.7 | 1.1 | 4 | 7/12 | 5/12 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Clodiense | 7 | 4 | 1 | 2 | 10 | 8 | 13 |
A question about Caldiero Terme vs Clodiense?
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