Cahul vs Iskra: prediction and stats
Liga 1Regular Season - 17Kick-off on April 9, 2022 at 12:00 AM (UTC)Stadionul Raionul Atlant, Cahul
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cahul have 2 wins, 2 draws and 11 defeats; Iskra have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2021 | Olimp Comrat(home) | 0-3 | Liga 1 |
| Nov 6, 2021 | Spartanii Selemet(away) | 0-3 | Liga 1 |
| Oct 30, 2021 | Dacia-Buiucani(home) | 0-3 | Liga 1 |
| Oct 23, 2021 | Speranța Drochia(home) | 0-1 | Liga 1 |
| Oct 16, 2021 | Real Succes(away) | 0-4 | Liga 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2022 | Olimp Comrat(home) | 1-1 | Liga 1 |
| Mar 19, 2022 | Spartanii Selemet(away) | 0-1 | Liga 1 |
| Nov 20, 2021 | Dacia-Buiucani(home) | 0-5 | Liga 1 |
| Nov 6, 2021 | Speranța Drochia(away) | 1-0 | Liga 1 |
| Oct 30, 2021 | Real Succes(home) | 1-1 | Liga 1 |
What does the head-to-head say?
Across the last 5 meetings: 3 Cahul win(s), 1 draw(s), 1 Iskra win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 11, 2021 | Iskra 3-1 Cahul | Liga 1 |
| Nov 21, 2020 | Cahul 3-0 Iskra | Liga 1 |
| Aug 8, 2020 | Iskra 2-4 Cahul | Liga 1 |
| Oct 19, 2019 | Iskra 1-1 Cahul | Liga 1 |
| Jun 29, 2019 | Cahul 3-0 Iskra | Liga 1 |
How many goals should we expect?
Cahul score 0.9 and concede 2.4 goals per match over their last 15; Iskra score 0.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cahul | 0.9 | 2.4 | 0 | 5/15 | 10/15 |
| Iskra | 0.7 | 1.9 | 1 | 6/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 2 | Iskra | 4 | 3 | 0 | 1 | 15 | 4 | 9 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy