Sucleia vs Iskra: result 5-1 and analysis
Liga 1Regular Season - 15Kick-off on November 13, 2020 at 11:00 AM (UTC)Stadionul Ceadîr Lunga, Ceadîr Lunga
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What was the result of Sucleia vs Iskra?
Sucleia won 5-1 on November 13, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sucleia have 9 wins, 2 draws and 4 defeats; Iskra have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 7, 2020 | Cahul(away) | 0-1 | Liga 1 |
| Oct 30, 2020 | Sheriff II(home) | 4-1 | Liga 1 |
| Oct 30, 2020 | Olimp Comrat(home) | 2-0 | Liga 1 |
| Oct 23, 2020 | Sheriff II(away) | 3-0 | Liga 1 |
| Oct 16, 2020 | Grănicerul(home) | 5-0 | Liga 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2020 | Sheriff II(home) | 1-2 | Liga 1 |
| Oct 31, 2020 | Grănicerul(home) | 3-1 | Liga 1 |
| Oct 28, 2020 | Sheriff Tiraspol(away) | 1-2 | Cupa |
| Oct 23, 2020 | Victoria Bardar(away) | 3-3 | Liga 1 |
| Oct 16, 2020 | Speranța Drochia(home) | 2-2 | Liga 1 |
What does the head-to-head say?
In the last meeting: 0 Sucleia wins, 0 draws, 1 Iskra win.
| Date | Score | Competition |
|---|---|---|
| Jul 31, 2020 | Iskra 4-1 Sucleia | Liga 1 |
How many goals should we expect?
Sucleia score 2.9 and concede 1.5 goals per match over their last 15; Iskra score 2.1 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sucleia | 2.9 | 1.5 | 5 | 9/15 | 11/15 |
| Iskra | 2.1 | 1.9 | 1 | 13/15 | 12/15 |
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 Sucleia vs Iskra?
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