San Luigi vs Mestre: result 1-2 and analysis
Serie D - Girone CRegular Season - 14Kick-off on November 17, 2019 at 01:30 PM (UTC)Stadio Comunale Via Felluga, Trieste
Full time
What was the result of San Luigi vs Mestre?
Mestre won 1-2 on November 17, 2019.
What is the recent form of both teams?
Over their last 13 matches in all competitions, San Luigi have 1 win, 3 draws and 9 defeats; Mestre have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2019 | Montebelluna(away) | 1-1 | Serie D - Girone C |
| Nov 3, 2019 | Caldiero Terme(home) | 2-0 | Serie D - Girone C |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2019 | Cjarlins Muzane(home) | 3-1 | Serie D - Girone C |
| Nov 3, 2019 | Delta Porto Tolle(away) | 3-1 | Serie D - Girone C |
| Oct 30, 2019 | Tamai(home) | 1-0 | Serie D - Girone C |
| Oct 26, 2019 | Union Feltre(away) | 1-2 | Serie D - Girone C |
| Oct 20, 2019 | Este(home) | 0-2 | Serie D - Girone C |
How many goals should we expect?
San Luigi score 1.1 and concede 2.4 goals per match over their last 13; Mestre score 1.4 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| San Luigi | 1.1 | 2.4 | 2 | 10/13 | 8/13 |
| Mestre | 1.4 | 1.5 | 2 | 8/15 | 10/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Mestre | 6 | 2 | 4 | 0 | 9 | 6 | 10 |
A question about San Luigi vs Mestre?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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