Nardò vs Rotonda: result 1-2 and analysis
Serie D - Girone HGroup H - 14Kick-off on December 5, 2021 at 02:00 PM (UTC)Heffort Sport Village, Parabita
Full time
What was the result of Nardò vs Rotonda?
Rotonda won 1-2 on December 5, 2021.
Goalscorers
- 10′?Nardò
- 19′?Rotonda (pen.)
- 69′Andrea BottalicoRotonda (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nardò have 4 wins, 3 draws and 8 defeats; Rotonda have 6, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 28, 2021 | Bitonto(away) | 0-2 | Serie D - Girone H |
| Nov 21, 2021 | Francavilla(home) | 2-3 | Serie D - Girone H |
| Nov 14, 2021 | Virtus Matino(away) | 1-0 | Serie D - Girone H |
| Nov 7, 2021 | Mariglianese(home) | 2-1 | Serie D - Girone H |
| Oct 31, 2021 | Audace Cerignola(away) | 1-1 | Serie D - Girone H |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 28, 2021 | Casarano(home) | 0-0 | Serie D - Girone H |
| Nov 21, 2021 | Bisceglie(away) | 0-0 | Serie D - Girone H |
| Nov 14, 2021 | Nola 1925(home) | 1-0 | Serie D - Girone H |
| Nov 7, 2021 | Team Altamura(away) | 0-2 | Serie D - Girone H |
| Oct 31, 2021 | Molfetta Calcio(home) | 3-0 | Serie D - Girone H |
How many goals should we expect?
Nardò score 1.1 and concede 1.5 goals per match over their last 15; Rotonda score 1.1 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nardò | 1.1 | 1.5 | 1 | 9/15 | 7/15 |
| Rotonda | 1.1 | 0.7 | 8 | 3/14 | 4/14 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Nardò | 7 | 1 | 3 | 3 | 6 | 12 | 6 |
A question about Nardò vs Rotonda?
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