Bradu Borca vs ACS Foresta Suceava: result 1-3 and analysis
Liga III - Serie 1Serie 1 - 6Kick-off on October 17, 2020 at 12:00 PM (UTC)Stadionul Cetatea, Târgu Neamţ
Full time
What was the result of Bradu Borca vs ACS Foresta Suceava?
ACS Foresta Suceava won 1-3 on October 17, 2020.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Bradu Borca have 1 win, 1 draw and 4 defeats; ACS Foresta Suceava have 6, 0 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2020 | Paşcani(away) | 2-2 | Liga III - Serie 1 |
| Oct 3, 2020 | SJ Vaslui(home) | 0-2 | Liga III - Serie 1 |
| Sep 26, 2020 | Dante Botoşani(home) | 3-1 | Liga III - Serie 1 |
| Sep 19, 2020 | Hușana Huși(away) | 0-5 | Liga III - Serie 1 |
| Sep 12, 2020 | Şomuz Fălticeni(home) | 0-2 | Liga III - Serie 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2020 | Hușana Huși(home) | 3-0 | Liga III - Serie 1 |
| Oct 7, 2020 | Şomuz Fălticeni(away) | 0-2 | Cupa României |
| Oct 3, 2020 | Şomuz Fălticeni(away) | 2-3 | Liga III - Serie 1 |
| Sep 19, 2020 | Ceahlăul Piatra Neamţ(away) | 1-0 | Liga III - Serie 1 |
| Sep 12, 2020 | Stiinta Miroslava(home) | 1-2 | Liga III - Serie 1 |
How many goals should we expect?
Bradu Borca score 0.8 and concede 2.5 goals per match over their last 6; ACS Foresta Suceava score 1.3 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bradu Borca | 0.8 | 2.5 | 0 | 2/6 | 4/6 |
| ACS Foresta Suceava | 1.3 | 2.2 | 4 | 5/15 | 11/15 |
Over the last 6 matches in all competitions.
A question about Bradu Borca vs ACS Foresta Suceava?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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