Rende vs Reggiana: result 1-0 and analysis
Serie C - Girone ARegular Season - 1Kick-off on August 26, 2017 at 06:30 PM (UTC)Stadio Comunale Marco Lorenzon, Rende
Full time
What was the result of Rende vs Reggiana?
Rende won 1-0 on August 26, 2017.
Goalscorers
- 82′Giovanni RicciardoRende
Official lineup for Rende vs Reggiana
The starting elevens fielded at kick-off.
Rende
- 9Giovanni Ricciardo
- 10Gustavo Emanuel Actis Goretta
- 11Riccardo Rossini
- 17Allan Junior Blaze
- 20M. Laaribi
- 2O. Viteritti
- 3F. Pambianchi
- 5Mattia Sanzone
- 7D. Gigliotti
- 18Pasquale Porcaro
- 22F. Forte
Reggiana
- 7T. Tulissi
- 20D. Bezziccheri
- 8Agatino Sergio Garufi
- 10A. De Francesco
- 14R. Marino
- 21J. Sciamanna
- 29A. Mezavilla
- 3Matthias Solerio
- 5G. Laezza
- 17A. Porcino
- 22T. Cucchietti
What is the recent form of both teams?
In their last match in all competitions, Rende have 0 wins, 0 draws and 1 defeat; Reggiana have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 30, 2017 | Padova(away) | 1-2 | Coppa Italia |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2017 | Spezia(away) | 0-3 | Coppa Italia |
| Jul 30, 2017 | Trastevere(away) | 2-1 | Coppa Italia |
| May 7, 2017 | Paganese(home) | 4-3 | Serie C - Girone A |
| May 7, 2017 | Parma(away) | 0-1 | Serie C - Girone A |
| Apr 30, 2017 | Forli(home) | 0-1 | Serie C - Girone A |
How many goals should we expect?
Rende score 1.0 and concede 2.0 goals per match in their last match; Reggiana score 1.4 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rende | 1.0 | 2.0 | 0 | 1/1 | 1/1 |
| Reggiana | 1.4 | 1.3 | 3 | 8/15 | 6/15 |
Over the last match in all competitions.
A question about Rende vs Reggiana?
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