Sucleia vs Floreşti: result 0-1 and analysis
Liga 1Regular Season - 10Kick-off on November 5, 2022 at 11:00 AM (UTC)Stadionul Ceadîr Lunga, Ceadîr Lunga
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What was the result of Sucleia vs Floreşti?
Floreşti won 0-1 on November 5, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sucleia have 2 wins, 1 draw and 12 defeats; Floreşti have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2022 | Sporting Trestieni(away) | 1-6 | Liga 1 |
| Oct 21, 2022 | FCM Ungheni(away) | 0-6 | Liga 1 |
| Oct 15, 2022 | Sheriff II(home) | 0-5 | Liga 1 |
| Oct 8, 2022 | Făleşti(away) | 1-2 | Liga 1 |
| Sep 30, 2022 | Floreşti(away) | 1-3 | Liga 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2022 | Sheriff II(home) | 1-0 | Liga 1 |
| Oct 22, 2022 | Făleşti(away) | 2-1 | Liga 1 |
| Oct 19, 2022 | Petrocub(home) | 2-2 | Cupa |
| Oct 14, 2022 | FCM Ungheni(home) | 2-0 | Liga 1 |
| Oct 7, 2022 | Sporting Trestieni(home) | 3-0 | Liga 1 |
What does the head-to-head say?
In the last meeting: 0 Sucleia wins, 0 draws, 1 Floreşti win.
| Date | Score | Competition |
|---|---|---|
| Sep 30, 2022 | Floreşti 3-1 Sucleia | Liga 1 |
How many goals should we expect?
Sucleia score 0.9 and concede 3.8 goals per match over their last 15; Floreşti score 1.4 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sucleia | 0.9 | 3.8 | 1 | 9/15 | 12/15 |
| Floreşti | 1.4 | 1.7 | 5 | 7/15 | 11/15 |
Over the last 15 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 Sucleia vs Floreşti?
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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