Făleşti vs Grănicerul: result 1-2 and analysis
Liga 1Regular Season - 16Kick-off on November 20, 2020 at 11:00 AM (UTC)Stadionul Făleşti, Făleşti
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What was the result of Făleşti vs Grănicerul?
Grănicerul won 1-2 on November 20, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Făleşti have 3 wins, 0 draws and 12 defeats; Grănicerul have 5, 0 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 13, 2020 | Victoria Bardar(away) | 1-4 | Liga 1 |
| Nov 7, 2020 | Speranța Drochia(home) | 0-7 | Liga 1 |
| Oct 30, 2020 | Sireți(home) | 1-3 | Liga 1 |
| Oct 24, 2020 | Tighina(away) | 1-6 | Liga 1 |
| Oct 16, 2020 | Spartanii Selemet(home) | 1-4 | Liga 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 13, 2020 | Real Succes(home) | 0-1 | Liga 1 |
| Nov 7, 2020 | CSF Bălți(away) | 1-2 | Liga 1 |
| Oct 31, 2020 | Iskra(away) | 1-3 | Liga 1 |
| Oct 24, 2020 | Cahul(home) | 1-3 | Liga 1 |
| Oct 16, 2020 | Sucleia(away) | 0-5 | Liga 1 |
What does the head-to-head say?
In the last meeting: 0 Făleşti wins, 0 draws, 1 Grănicerul win.
| Date | Score | Competition |
|---|---|---|
| Aug 7, 2020 | Grănicerul 2-0 Făleşti | Liga 1 |
How many goals should we expect?
Făleşti score 1.1 and concede 3.8 goals per match over their last 15; Grănicerul score 1.0 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Făleşti | 1.1 | 3.8 | 1 | 11/15 | 13/15 |
| Grănicerul | 1.0 | 2.1 | 4 | 5/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Făleşti | 6 | 2 | 1 | 3 | 4 | 6 | 7 |
A question about Făleşti vs Grănicerul?
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