Legnago Salus vs Torviscosa: result 1-1 and analysis
Serie D - Girone CGroup C - 7Kick-off on October 16, 2022 at 01:00 PM (UTC)Stadio Mario Sandrini, Legnago
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What was the result of Legnago Salus vs Torviscosa?
Legnago Salus and Torviscosa drew 1-1 on October 16, 2022.
Goalscorers
- 5′D. RoccoLegnago Salus
- 78′?Torviscosa
What is the recent form of both teams?
Over their last 15 matches in all competitions, Legnago Salus have 4 wins, 3 draws and 8 defeats; Torviscosa have 1, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2022 | Cartigliano(away) | 1-2 | Serie D - Girone C |
| Oct 2, 2022 | Adriese(home) | 0-0 | Serie D - Girone C |
| Sep 27, 2022 | Villafranca(away) | 1-1 | Serie D - Girone C |
| Sep 18, 2022 | Portogruaro(home) | 1-0 | Serie D - Girone C |
| Sep 11, 2022 | Clodiense(away) | 0-1 | Serie D - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2022 | Cjarlins Muzane(home) | 0-3 | Serie D - Girone C |
| Oct 2, 2022 | Este(away) | 2-2 | Serie D - Girone C |
| Sep 24, 2022 | Caldiero Terme(home) | 1-1 | Serie D - Girone C |
| Sep 17, 2022 | Dolomiti Bellunesi(away) | 0-2 | Serie D - Girone C |
| Sep 11, 2022 | Campodarsego(home) | 0-1 | Serie D - Girone C |
How many goals should we expect?
Legnago Salus score 1.1 and concede 1.4 goals per match over their last 15; Torviscosa score 0.8 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Legnago Salus | 1.1 | 1.4 | 4 | 8/15 | 7/15 |
| Torviscosa | 0.8 | 1.6 | 1 | 4/8 | 3/8 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Legnago Salus | 34 | 18 | 7 | 9 | 63 | 41 | 61 |
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