Iskra vs Cahul: result 2-4 and analysis
Liga 1Regular Season - 3Kick-off on August 8, 2020 at 03:00 PM (UTC)Stadionul Orăşenesc Rîbnița, Rîbniţa
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What was the result of Iskra vs Cahul?
Cahul won 2-4 on August 8, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Iskra have 3 wins, 2 draws and 10 defeats; Cahul have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 31, 2020 | Sucleia(home) | 4-1 | Liga 1 |
| Jul 24, 2020 | Sheriff II(away) | 0-1 | Liga 1 |
| Nov 9, 2019 | Grănicerul(away) | 1-4 | Liga 1 |
| Nov 2, 2019 | Zaria Balti(away) | 0-2 | Liga 1 |
| Oct 27, 2019 | Sireți(away) | 3-4 | Liga 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 31, 2020 | Olimp Comrat(away) | 1-0 | Liga 1 |
| Jul 24, 2020 | Sucleia(away) | 0-1 | Liga 1 |
| Nov 9, 2019 | Speranța Drochia(home) | 4-0 | Liga 1 |
| Nov 2, 2019 | Sparta(away) | 3-0 | Liga 1 |
| Oct 26, 2019 | Victoria Bardar(home) | 1-3 | Liga 1 |
What does the head-to-head say?
Across the last 2 meetings: 0 Iskra wins, 1 draw, 1 Cahul win.
| Date | Score | Competition |
|---|---|---|
| Oct 19, 2019 | Iskra 1-1 Cahul | Liga 1 |
| Jun 29, 2019 | Cahul 3-0 Iskra | Liga 1 |
How many goals should we expect?
Iskra score 1.9 and concede 2.7 goals per match over their last 15; Cahul score 2.0 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Iskra | 1.9 | 2.7 | 1 | 11/15 | 10/15 |
| Cahul | 2.0 | 1.1 | 4 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Iskra | 8 | 6 | 0 | 2 | 22 | 8 | 18 |
A question about Iskra 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