Palermo vs Messina: result 1-0 and analysis
Serie D - Girone IRegular Season - 13Kick-off on November 24, 2019 at 01:30 PM (UTC)Stadio Renzo Barbera, Palermo
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What was the result of Palermo vs Messina?
Palermo won 1-0 on November 24, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Palermo have 11 wins, 3 draws and 1 defeat; Messina have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2019 | Palmese(away) | 0-0 | Serie D - Girone I |
| Nov 10, 2019 | Savoia(home) | 0-1 | Serie D - Girone I |
| Nov 3, 2019 | Corigliano Calabro(home) | 6-0 | Serie D - Girone I |
| Oct 27, 2019 | Nola 1925(away) | 1-0 | Serie D - Girone I |
| Oct 20, 2019 | Licata(home) | 2-1 | Serie D - Girone I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2019 | Biancavilla(home) | 2-0 | Serie D - Girone I |
| Nov 10, 2019 | Corigliano Calabro(away) | 4-1 | Serie D - Girone I |
| Nov 3, 2019 | FC Messina(home) | 0-3 | Serie D - Girone I |
| Oct 27, 2019 | Licata(away) | 0-0 | Serie D - Girone I |
| Oct 20, 2019 | Roccella(home) | 1-0 | Serie D - Girone I |
How many goals should we expect?
Palermo score 2.1 and concede 0.8 goals per match over their last 15; Messina score 1.2 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Palermo | 2.1 | 0.8 | 6 | 8/15 | 9/15 |
| Messina | 1.2 | 0.8 | 8 | 4/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 16 | Messina | 34 | 11 | 13 | 10 | 28 | 33 | 32 |
A question about Palermo vs Messina?
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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