Reggina vs Sancataldese: result 2-0 and analysis
Serie D - Girone IGroup I · Matchday 17Kick-off on December 22, 2024 at 01:30 PM (UTC)Stadio Oreste Granillo, Reggio Calabria
Full time
What was the result of Reggina vs Sancataldese?
Reggina won 2-0 on December 22, 2024.
Goalscorers
- 8′A. PorcinoReggina
- 20′A. PorcinoReggina
What is the recent form of both teams?
Over their last 15 matches in all competitions, Reggina have 8 wins, 6 draws and 1 defeat; Sancataldese have 3, 8 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 8, 2024 | Locri 1909(home) | 3-2 | Serie D - Girone I |
| Dec 4, 2024 | Enna(home) | 1-1 | Coppa Italia Serie D |
| Dec 1, 2024 | Nissa(away) | 1-1 | Serie D - Girone I |
| Nov 24, 2024 | Pompei(home) | 2-2 | Serie D - Girone I |
| Nov 20, 2024 | Gelbison(away) | 3-1 | Coppa Italia Serie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 15, 2024 | Acireale(home) | 2-2 | Serie D - Girone I |
| Dec 8, 2024 | Città Di Sant’Agata(away) | 1-1 | Serie D - Girone I |
| Dec 1, 2024 | Igea Virtus(home) | 2-1 | Serie D - Girone I |
| Nov 24, 2024 | Ragusa(away) | 2-3 | Serie D - Girone I |
| Nov 17, 2024 | CastrumFavara(home) | 0-0 | Serie D - Girone I |
How many goals should we expect?
Reggina score 1.6 and concede 0.7 goals per match over their last 15; Sancataldese score 1.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Reggina | 1.6 | 0.7 | 6 | 8/15 | 6/15 |
| Sancataldese | 1.0 | 1.3 | 5 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Reggina | 11 | 8 | 2 | 1 | 28 | 7 | 26 |
A question about Reggina vs Sancataldese?
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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