Academia vs Sheriff Tiraspol: result 0-1 and analysis
Super LigaRegular Season - 8Kick-off on September 17, 2016 at 01:00 PM (UTC)
Full time
What was the result of Academia vs Sheriff Tiraspol?
Sheriff Tiraspol won 0-1 on September 17, 2016.
Goalscorers
- 13′Wilfred Benjamin BalimaSheriff Tiraspol
What is the recent form of both teams?
Over their last 6 matches in all competitions, Academia have 2 wins, 0 draws and 4 defeats; Sheriff Tiraspol have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2016 | Speranţa Nisporeni(away) | 1-0 | Super Liga |
| Aug 20, 2016 | Milsami Orhei(home) | 0-4 | Super Liga |
| Aug 13, 2016 | Dacia(away) | 0-2 | Super Liga |
| Aug 6, 2016 | Zimbru(home) | 0-2 | Super Liga |
| Jul 30, 2016 | Saxan(away) | 0-1 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2016 | Milsami Orhei(home) | 2-0 | Super Liga |
| Aug 20, 2016 | Zimbru(home) | 3-0 | Super Liga |
| Aug 14, 2016 | Saxan(home) | 3-0 | Super Liga |
| Aug 6, 2016 | Ungheni(home) | 7-0 | Super Liga |
| Jul 30, 2016 | Dinamo-Auto(away) | 1-0 | Super Liga |
How many goals should we expect?
Academia score 0.8 and concede 1.7 goals per match over their last 6; Sheriff Tiraspol score 1.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Academia | 0.8 | 1.7 | 1 | 1/6 | 2/6 |
| Sheriff Tiraspol | 1.5 | 0.9 | 9 | 3/15 | 9/15 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Sheriff Tiraspol | 15 | 10 | 4 | 1 | 39 | 12 | 34 |
A question about Academia vs Sheriff Tiraspol?
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