Paternò vs Gelbison: result 0-2 and analysis
Serie D - Girone IGroup I - 9Kick-off on November 1, 2021 at 01:30 PM (UTC)Stadio Falcone-Borsellino, Paternò
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What was the result of Paternò vs Gelbison?
Gelbison won 0-2 on November 1, 2021.
Goalscorers
- 34′?Gelbison
- 74′?Gelbison
What is the recent form of both teams?
Over their last 8 matches in all competitions, Paternò have 5 wins, 3 draws and 0 defeats; Gelbison have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2021 | Licata(home) | 1-0 | Serie D - Girone I |
| Oct 17, 2021 | Giarre(away) | 3-0 | Serie D - Girone I |
| Oct 10, 2021 | Castrovillari(home) | 2-2 | Serie D - Girone I |
| Oct 6, 2021 | Santa Maria Cilento(away) | 1-1 | Serie D - Girone I |
| Oct 3, 2021 | Troina(home) | 1-0 | Serie D - Girone I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 24, 2021 | Portici(home) | 1-0 | Serie D - Girone I |
| Oct 20, 2021 | Lamezia Terme(away) | 2-1 | Serie D - Girone I |
| Oct 17, 2021 | San Luca(away) | 1-1 | Serie D - Girone I |
| Oct 10, 2021 | FC Messina(home) | 3-0 | Serie D - Girone I |
| Oct 6, 2021 | Biancavilla(away) | 1-0 | Serie D - Girone I |
How many goals should we expect?
Paternò score 1.9 and concede 1.0 goals per match over their last 8; Gelbison score 1.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paternò | 1.9 | 1.0 | 4 | 4/8 | 4/8 |
| Gelbison | 1.3 | 0.9 | 6 | 8/15 | 6/15 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
Paternò sit 18th in Serie D - Girone I (19 points from 34 matches) and Gelbison sit 5th (60 points from 34 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Gelbison | 34 | 17 | 9 | 8 | 44 | 32 | 60 |
| 18 | Paternò | 34 | 4 | 7 | 23 | 21 | 71 | 19 |
A question about Paternò vs Gelbison?
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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