Trapani vs Brescia: result 0-0 and analysis
Serie BRegular Season - 21Kick-off on December 30, 2016 at 07:30 PM (UTC)Stadio Polisportivo Provinciale, Trapani
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What was the result of Trapani vs Brescia?
Trapani and Brescia drew 0-0 on December 30, 2016.
Official lineup for Trapani vs Brescia
The starting elevens fielded at kick-off.
Trapani
3-5-2- 10B. Petković
- 25L. Canotto
- 20Igor Coronado
- 5M. Scozzarella
- 7L. Nizzetto
- 17A. Barillà
- 34A. Krešić
- 6M. Legittimo
- 13P. Fazio
- 29Simone Rizzato
- 22S. Farelli
Brescia
3-5-2- 32E. Torregrossa
- 9Andrea Caracciolo
- 25D. Bisoli
- 28A. Martinelli
- 8J. Dall'Oglio
- 31Leonardo Fontanesi
- 4R. Coly
- 5M. Somma
- 17A. Calabresi
- 2Joel Untersee
- 15S. Minelli
What is the recent form of both teams?
Over their last 15 matches in all competitions, Trapani have 1 win, 4 draws and 10 defeats; Brescia have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 24, 2016 | Cesena(away) | 1-3 | Serie B |
| Dec 16, 2016 | Frosinone(home) | 1-4 | Serie B |
| Dec 10, 2016 | Virtus Entella(away) | 2-2 | Serie B |
| Dec 2, 2016 | Carpi(home) | 0-1 | Serie B |
| Nov 26, 2016 | Pisa(away) | 0-1 | Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 24, 2016 | PRO Vercelli(home) | 2-1 | Serie B |
| Dec 17, 2016 | Latina(away) | 1-1 | Serie B |
| Dec 11, 2016 | Novara(home) | 0-0 | Serie B |
| Dec 3, 2016 | Ternana(away) | 0-1 | Serie B |
| Nov 26, 2016 | Ascoli(home) | 1-0 | Serie B |
How many goals should we expect?
Trapani score 0.6 and concede 1.8 goals per match over their last 15; Brescia score 1.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Trapani | 0.6 | 1.8 | 1 | 6/15 | 5/15 |
| Brescia | 1.2 | 1.5 | 3 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Trapani vs Brescia?
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