Grănicerul vs Cahul: result 1-3 and analysis
Liga 1Regular Season - 12Kick-off on October 24, 2020 at 12:00 PM (UTC)Stadionul Glodeni, Glodeni
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What was the result of Grănicerul vs Cahul?
Cahul won 1-3 on October 24, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Grănicerul have 8 wins, 0 draws and 7 defeats; Cahul have 12, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2020 | Sucleia(away) | 0-5 | Liga 1 |
| Oct 9, 2020 | Sheriff II(home) | 0-1 | Liga 1 |
| Oct 4, 2020 | Olimp Comrat(home) | 4-3 | Liga 1 |
| Sep 26, 2020 | Victoria Bardar(away) | 1-0 | Liga 1 |
| Sep 18, 2020 | Speranța Drochia(home) | 0-1 | Liga 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2020 | Victoria Bardar(home) | 6-0 | Liga 1 |
| Oct 10, 2020 | Speranța Drochia(away) | 3-1 | Liga 1 |
| Oct 3, 2020 | Sireți(home) | 3-0 | Liga 1 |
| Sep 26, 2020 | Tighina(away) | 3-1 | Liga 1 |
| Sep 18, 2020 | Spartanii Selemet(home) | 2-2 | Liga 1 |
What does the head-to-head say?
Across the last 2 meetings: 0 Grănicerul wins, 1 draw, 1 Cahul win.
| Date | Score | Competition |
|---|---|---|
| Sep 28, 2019 | Grănicerul 1-4 Cahul | Liga 1 |
| Jun 15, 2019 | Cahul 2-2 Grănicerul | Liga 1 |
How many goals should we expect?
Grănicerul score 1.5 and concede 2.1 goals per match over their last 15; Cahul score 3.5 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Grănicerul | 1.5 | 2.1 | 4 | 5/15 | 8/15 |
| Cahul | 3.5 | 0.8 | 7 | 7/15 | 13/15 |
Over the last 15 matches in all competitions.
A question about Grănicerul vs Cahul?
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