Tighina vs Floreşti: result 1-2 and analysis
Liga 1Regular Season - 10Kick-off on July 14, 2019 at 03:00 PM (UTC)Stadion Dinamo, Tighina
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What was the result of Tighina vs Floreşti?
Floreşti won 1-2 on July 14, 2019.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Tighina have 9 wins, 0 draws and 3 defeats; Floreşti have 10, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 10, 2019 | Spartanii Selemet(away) | 0-1 | Liga 1 |
| Jun 30, 2019 | Speranța Drochia(home) | 3-1 | Liga 1 |
| Jun 22, 2019 | Sparta(away) | 12-0 | Liga 1 |
| Jun 15, 2019 | Victoria Bardar(home) | 2-1 | Liga 1 |
| Jun 1, 2019 | Iskra(away) | 4-2 | Liga 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 10, 2019 | Ungheni(home) | 2-1 | Liga 1 |
| Jun 22, 2019 | Spartanii Selemet(away) | 2-1 | Liga 1 |
| Jun 16, 2019 | Speranța Drochia(home) | 3-1 | Liga 1 |
| Jun 2, 2019 | Sparta(away) | 2-0 | Liga 1 |
| May 18, 2019 | Victoria Bardar(home) | 2-1 | Liga 1 |
How many goals should we expect?
Tighina score 3.1 and concede 1.2 goals per match over their last 12; Floreşti score 2.3 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tighina | 3.1 | 1.2 | 2 | 7/12 | 9/12 |
| Floreşti | 2.3 | 0.8 | 4 | 7/12 | 8/12 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Floreşti | 15 | 9 | 4 | 2 | 43 | 13 | 31 |
A question about Tighina vs Floreşti?
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