Viitorul Constanţa II vs Agricola Borcea: result 7-4 and analysis
Liga III - Serie 3Serie 3 - 6Kick-off on October 28, 2020 at 01:00 PM (UTC)Stadionul Central, Ovidiu
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What was the result of Viitorul Constanţa II vs Agricola Borcea?
Viitorul Constanţa II won 7-4 on October 28, 2020.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Viitorul Constanţa II have 2 wins, 1 draw and 2 defeats; Agricola Borcea have 4, 0 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2020 | Axiopolis(away) | 1-3 | Liga III - Serie 3 |
| Oct 3, 2020 | Mostiştea Ulmu(home) | 0-0 | Liga III - Serie 3 |
| Sep 26, 2020 | Gloria Albeşti(away) | 3-2 | Liga III - Serie 3 |
| Sep 19, 2020 | Popești-Leordeni(home) | 0-3 | Liga III - Serie 3 |
| Sep 12, 2020 | Înainte Modelu(away) | 3-2 | Liga III - Serie 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2020 | CS Afumati(home) | 0-1 | Liga III - Serie 3 |
| Oct 7, 2020 | Axiopolis(away) | 3-6 | Cupa României |
| Oct 3, 2020 | Recolta Gheorghe Doja(away) | 4-1 | Liga III - Serie 3 |
| Sep 26, 2020 | Axiopolis(away) | 2-6 | Liga III - Serie 3 |
| Sep 22, 2020 | Înainte Modelu(home) | 3-1 | Cupa României |
How many goals should we expect?
Viitorul Constanţa II score 1.4 and concede 2.0 goals per match over their last 5; Agricola Borcea score 2.0 and concede 2.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Viitorul Constanţa II | 1.4 | 2.0 | 1 | 3/5 | 4/5 |
| Agricola Borcea | 2.0 | 2.8 | 1 | 8/11 | 9/11 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Agricola Borcea | 22 | 15 | 3 | 4 | 51 | 27 | 48 |
A question about Viitorul Constanţa II vs Agricola Borcea?
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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