Este vs Torviscosa: result 2-2 and analysis
Serie D - Girone CGroup C - 5Kick-off on October 2, 2022 at 01:00 PM (UTC)Nuovo Stadio Comunale, Este
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What was the result of Este vs Torviscosa?
Este and Torviscosa drew 2-2 on October 2, 2022.
Goalscorers
- 25′?Este
- 34′?Torviscosa
- 40′?Este
- 44′?Torviscosa
What is the recent form of both teams?
Over their last 15 matches in all competitions, Este have 8 wins, 6 draws and 1 defeat; Torviscosa have 1, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2022 | Cartigliano(away) | 2-1 | Serie D - Girone C |
| Sep 18, 2022 | Villafranca(home) | 2-0 | Serie D - Girone C |
| Sep 11, 2022 | Portogruaro(away) | 3-3 | Serie D - Girone C |
| Sep 4, 2022 | Adriese(home) | 1-1 | Serie D - Girone C |
| Aug 28, 2022 | Cartigliano(away) | 5-3 | Coppa Italia Serie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 4, 2022 | Mestre(away) | 1-0 | Serie D - Girone C |
| Aug 21, 2022 | Portogruaro(away) | 1-1 | Coppa Italia Serie D |
How many goals should we expect?
Este score 1.9 and concede 1.3 goals per match over their last 15; Torviscosa score 0.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Este | 1.9 | 1.3 | 6 | 9/15 | 7/15 |
| Torviscosa | 0.7 | 1.3 | 1 | 3/6 | 1/6 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Este | 6 | 2 | 1 | 3 | 5 | 5 | 7 |
A question about Este vs Torviscosa?
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