Sangiustese vs Chieti: result 2-2 and analysis
Serie D - Girone FRegular Season - 10Kick-off on November 3, 2019 at 01:30 PM (UTC)Stadio Comunale Villa San Filippo, Monte San Giusto
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What was the result of Sangiustese vs Chieti?
Sangiustese and Chieti drew 2-2 on November 3, 2019.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Sangiustese have 3 wins, 3 draws and 3 defeats; Chieti have 2, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Montegiorgio(away) | 1-0 | Serie D - Girone F |
| Oct 20, 2019 | Cattolica(home) | 2-2 | Serie D - Girone F |
| Oct 13, 2019 | Matelica(away) | 1-0 | Serie D - Girone F |
| Oct 6, 2019 | Olympia Agnonese(home) | 3-5 | Serie D - Girone F |
| Sep 29, 2019 | Vastese(away) | 1-2 | Serie D - Girone F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Real Giulianova(away) | 0-1 | Serie D - Girone F |
| Oct 20, 2019 | Recanatese(home) | 1-2 | Serie D - Girone F |
| Oct 13, 2019 | Montegiorgio(away) | 1-1 | Serie D - Girone F |
| Oct 6, 2019 | Cattolica(home) | 1-1 | Serie D - Girone F |
| Sep 29, 2019 | Matelica(away) | 0-4 | Serie D - Girone F |
How many goals should we expect?
Sangiustese score 1.9 and concede 1.7 goals per match over their last 9; Chieti score 1.0 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sangiustese | 1.9 | 1.7 | 2 | 7/9 | 6/9 |
| Chieti | 1.0 | 1.4 | 1 | 5/8 | 4/8 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Chieti | 34 | 8 | 11 | 15 | 31 | 55 | 35 |
A question about Sangiustese vs Chieti?
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