Ternana vs Brescia: result 1-0 and analysis
Serie BRegular Season - 17Kick-off on December 3, 2016 at 02:00 PM (UTC)Stadio Libero Liberati, Terni
Full time
What was the result of Ternana vs Brescia?
Ternana won 1-0 on December 3, 2016.
Goalscorers
- 50′S. PalombiTernana
Official lineup for Ternana vs Brescia
The starting elevens fielded at kick-off.
Ternana
4-3-1-2- 14S. Palombi
- 10C. Falletti
- 20F. Avenatti
- 28A. Palumbo
- 4M. Valjent
- 19G. Di Noia
- 25M. Defendi
- 18L. Germoni
- 5A. Masi
- 2Damiano Zanon
- 22S. Aresti
Brescia
4-3-3- 9Andrea Caracciolo
- 11S. Rosso
- 7Gaston Camara
- 33G. Sbrissa
- 25D. Bisoli
- 28A. Martinelli
- 4R. Coly
- 5M. Somma
- 24I. Bubnjić
- 2Joel Untersee
- 15S. Minelli
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ternana have 3 wins, 7 draws and 5 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 |
|---|---|---|---|
| Nov 26, 2016 | Frosinone(away) | 1-1 | Serie B |
| Nov 19, 2016 | Virtus Entella(home) | 3-0 | Serie B |
| Nov 13, 2016 | Salernitana(away) | 2-4 | Serie B |
| Nov 7, 2016 | Benevento(home) | 0-1 | Serie B |
| Oct 29, 2016 | Novara(home) | 4-3 | Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 26, 2016 | Ascoli(home) | 1-0 | Serie B |
| Nov 19, 2016 | Benevento(away) | 0-4 | Serie B |
| Nov 12, 2016 | Spal(away) | 2-3 | Serie B |
| Nov 4, 2016 | Cesena(home) | 3-2 | Serie B |
| Oct 29, 2016 | Virtus Entella(away) | 0-4 | Serie B |
How many goals should we expect?
Ternana score 1.1 and concede 1.3 goals per match over their last 15; Brescia score 1.3 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ternana | 1.1 | 1.3 | 3 | 8/15 | 5/15 |
| Brescia | 1.3 | 1.6 | 3 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Ternana 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