Rende vs Sancataldese: result 5-1 and analysis
Serie D - Girone IGroup I - 7Kick-off on October 20, 2021 at 01:00 PM (UTC)Stadio Comunale Marco Lorenzon, Rende
Full time
What was the result of Rende vs Sancataldese?
Rende won 5-1 on October 20, 2021.
Goalscorers
- 9′?Sancataldese
- 41′?Rende
- 58′?Rende
- 61′?Rende
- 68′?Rende
- 72′?Rende
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rende have 1 win, 5 draws and 9 defeats; Sancataldese have 1, 0 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2021 | Cittanova Interpiana(home) | 0-1 | Serie D - Girone I |
| Oct 10, 2021 | Trapani 1905(away) | 1-2 | Serie D - Girone I |
| Oct 6, 2021 | Città Di Sant’Agata(home) | 0-1 | Serie D - Girone I |
| Oct 3, 2021 | Acireale(away) | 0-0 | Serie D - Girone I |
| Sep 26, 2021 | Paternò(home) | 3-4 | Serie D - Girone I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2021 | Acireale(home) | 0-2 | Serie D - Girone I |
| Oct 10, 2021 | Cittanova Interpiana(away) | 0-5 | Serie D - Girone I |
| Oct 6, 2021 | Cavese(home) | 0-2 | Serie D - Girone I |
| Oct 3, 2021 | Città Di Sant’Agata(away) | 0-2 | Serie D - Girone I |
| Sep 26, 2021 | Real Normanna(home) | 0-1 | Serie D - Girone I |
How many goals should we expect?
Rende score 0.7 and concede 1.5 goals per match over their last 15; Sancataldese score 0.4 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rende | 0.7 | 1.5 | 3 | 6/15 | 6/15 |
| Sancataldese | 0.4 | 1.9 | 0 | 1/8 | 2/8 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 17 | Sancataldese | 34 | 7 | 8 | 19 | 31 | 49 | 29 |
A question about Rende vs Sancataldese?
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