Academia vs Saxan: result 1-0 and analysis
Super LigaRegular Season - 13Kick-off on October 29, 2016 at 12:00 PM (UTC)
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What was the result of Academia vs Saxan?
Academia won 1-0 on October 29, 2016.
Goalscorers
- 28′Alexandru VremeaAcademia
What is the recent form of both teams?
Over their last 11 matches in all competitions, Academia have 4 wins, 0 draws and 7 defeats; Saxan have 1, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2016 | Ungheni(away) | 2-1 | Super Liga |
| Oct 15, 2016 | Dinamo-Auto(away) | 1-3 | Super Liga |
| Sep 30, 2016 | Zaria Balti(home) | 0-2 | Super Liga |
| Sep 25, 2016 | Petrocub(away) | 1-0 | Super Liga |
| Sep 17, 2016 | Sheriff Tiraspol(home) | 0-1 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2016 | Milsami Orhei(home) | 0-1 | Super Liga |
| Oct 15, 2016 | Dacia(home) | 0-2 | Super Liga |
| Oct 1, 2016 | Zimbru(away) | 0-2 | Super Liga |
| Sep 16, 2016 | Ungheni(home) | 2-2 | Super Liga |
| Sep 10, 2016 | Dinamo-Auto(away) | 0-1 | Super Liga |
What does the head-to-head say?
In the last meeting: 0 Academia wins, 0 draws, 1 Saxan win.
| Date | Score | Competition |
|---|---|---|
| Jul 30, 2016 | Saxan 1-0 Academia | Super Liga |
How many goals should we expect?
Academia score 0.8 and concede 1.5 goals per match over their last 11; Saxan score 0.4 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Academia | 0.8 | 1.5 | 2 | 3/11 | 4/11 |
| Saxan | 0.4 | 1.8 | 1 | 3/12 | 4/12 |
Over the last 11 matches in all competitions.
A question about Academia vs Saxan?
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