FC Messina vs Sancataldese: result 2-1 and analysis
Serie D - Girone IGroup I - 10Kick-off on November 7, 2021 at 01:30 PM (UTC)Stadio Comunale Franco Scoglio, Messina
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What was the result of FC Messina vs Sancataldese?
FC Messina won 2-1 on November 7, 2021.
Goalscorers
- 2′90350FC Messina
- 60′Denilson Martinho GabionettaFC Messina
- 67′?Sancataldese
What is the recent form of both teams?
Over their last 15 matches in all competitions, FC Messina have 3 wins, 5 draws and 7 defeats; Sancataldese have 2, 0 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2021 | Acireale(home) | 0-0 | Coppa Italia Serie D |
| Oct 31, 2021 | Lamezia Terme(away) | 1-2 | Serie D - Girone I |
| Oct 24, 2021 | Rende(home) | 1-2 | Serie D - Girone I |
| Oct 20, 2021 | Portici(away) | 1-0 | Serie D - Girone I |
| Oct 17, 2021 | Trapani 1905(home) | 1-1 | Serie D - Girone I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 31, 2021 | Santa Maria Cilento(home) | 1-2 | Serie D - Girone I |
| Oct 24, 2021 | Trapani 1905(home) | 1-0 | Serie D - Girone I |
| Oct 20, 2021 | Rende(away) | 1-5 | Serie D - Girone I |
| Oct 17, 2021 | Acireale(home) | 0-2 | Serie D - Girone I |
| Oct 10, 2021 | Cittanova Interpiana(away) | 0-5 | Serie D - Girone I |
How many goals should we expect?
FC Messina score 0.5 and concede 1.1 goals per match over their last 15; Sancataldese score 0.5 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Messina | 0.5 | 1.1 | 6 | 4/15 | 4/15 |
| Sancataldese | 0.5 | 2.0 | 1 | 3/11 | 4/11 |
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 FC Messina 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