San Luca vs Castrovillari: result 1-1 and analysis
Serie D - Girone IGroup I - 21Kick-off on February 2, 2022 at 01:30 PM (UTC)Stadio San Luca, Vorea
Full time
What was the result of San Luca vs Castrovillari?
San Luca and Castrovillari drew 1-1 on February 2, 2022.
Goalscorers
- 11′?Castrovillari
- 60′?San Luca
What is the recent form of both teams?
Over their last 15 matches in all competitions, San Luca have 4 wins, 6 draws and 5 defeats; Castrovillari have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 30, 2022 | Biancavilla(away) | 3-1 | Serie D - Girone I |
| Jan 26, 2022 | Rende(home) | 2-0 | Serie D - Girone I |
| Jan 23, 2022 | Troina(away) | 1-1 | Serie D - Girone I |
| Dec 22, 2021 | Giarre(home) | 4-1 | Serie D - Girone I |
| Dec 8, 2021 | Sancataldese(away) | 0-1 | Serie D - Girone I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 30, 2022 | Gelbison(home) | 0-4 | Serie D - Girone I |
| Jan 23, 2022 | Biancavilla(home) | 0-1 | Serie D - Girone I |
| Dec 22, 2021 | Licata(away) | 0-3 | Serie D - Girone I |
| Dec 12, 2021 | Troina(home) | 3-1 | Serie D - Girone I |
| Dec 8, 2021 | Giarre(away) | 0-0 | Serie D - Girone I |
What does the head-to-head say?
Across the last 1 meetings: 1 San Luca win(s), 0 draw(s), 0 Castrovillari win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 26, 2021 | Castrovillari 1-3 San Luca | Serie D - Girone I |
Last archived meeting: Castrovillari vs San Luca on Sep 26, 2021
How many goals should we expect?
San Luca score 1.1 and concede 1.1 goals per match over their last 15; Castrovillari score 1.0 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| San Luca | 1.1 | 1.1 | 3 | 8/15 | 4/15 |
| Castrovillari | 1.0 | 1.7 | 3 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy