San Luigi vs Caldiero Terme: result 2-0 and analysis
Serie D - Girone CRegular Season - 12Kick-off on November 3, 2019 at 01:30 PM (UTC)Stadio Comunale Via Felluga, Trieste
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What was the result of San Luigi vs Caldiero Terme?
San Luigi won 2-0 on November 3, 2019.
What is the recent form of both teams?
Over their last 11 matches in all competitions, San Luigi have 0 wins, 2 draws and 9 defeats; Caldiero Terme have 5, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2019 | Villafranca(away) | 0-0 | Serie D - Girone C |
| Oct 26, 2019 | Legnago Salus(home) | 1-2 | Serie D - Girone C |
| Oct 20, 2019 | Chions(away) | 1-3 | Serie D - Girone C |
| Oct 13, 2019 | Adriese(home) | 1-6 | Serie D - Girone C |
| Oct 6, 2019 | Cartigliano(away) | 1-2 | Serie D - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Oct 6, 2019 | Este(home) | 1-1 | Serie D - Girone C |
How many goals should we expect?
San Luigi score 1.0 and concede 2.7 goals per match over their last 11; Caldiero Terme score 0.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| San Luigi | 1.0 | 2.7 | 1 | 9/11 | 8/11 |
| Caldiero Terme | 0.7 | 0.9 | 5 | 3/11 | 1/11 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | San Luigi | 35 | 8 | 10 | 17 | 34 | 57 | 34 |
A question about San Luigi vs Caldiero Terme?
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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