Rende vs Licata: result 1-1 and analysis
Serie D - Girone IGroup I - 13Kick-off on November 28, 2021 at 01:30 PM (UTC)Stadio Comunale Marco Lorenzon, Rende
Full time
What was the result of Rende vs Licata?
Rende and Licata drew 1-1 on November 28, 2021.
Goalscorers
- 41′?Licata
- 86′?Rende
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rende have 3 wins, 5 draws and 7 defeats; Licata have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 21, 2021 | Giarre(away) | 1-1 | Serie D - Girone I |
| Nov 14, 2021 | Castrovillari(home) | 1-0 | Serie D - Girone I |
| Nov 7, 2021 | Santa Maria Cilento(away) | 2-3 | Serie D - Girone I |
| Oct 31, 2021 | Troina(home) | 0-0 | Serie D - Girone I |
| Oct 24, 2021 | FC Messina(away) | 2-1 | Serie D - Girone I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 21, 2021 | Acireale(home) | 3-1 | Serie D - Girone I |
| Nov 14, 2021 | Cittanova Interpiana(away) | 4-1 | Serie D - Girone I |
| Nov 10, 2021 | Trapani 1905(away) | 0-2 | Coppa Italia Serie D |
| Nov 7, 2021 | Cavese(home) | 2-2 | Serie D - Girone I |
| Oct 31, 2021 | Città Di Sant’Agata(away) | 1-1 | Serie D - Girone I |
How many goals should we expect?
Rende score 1.2 and concede 1.5 goals per match over their last 15; Licata score 1.6 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rende | 1.2 | 1.5 | 3 | 8/15 | 7/15 |
| Licata | 1.6 | 1.1 | 5 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Licata | 7 | 4 | 2 | 1 | 10 | 9 | 14 |
A question about Rende vs Licata?
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