Iskra vs Tighina: result 2-1 and analysis
Liga 1Regular Season - 9Kick-off on October 2, 2020 at 12:00 PM (UTC)Stadionul Orăşenesc Rîbnița, Rîbniţa
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What was the result of Iskra vs Tighina?
Iskra won 2-1 on October 2, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Iskra have 4 wins, 3 draws and 8 defeats; Tighina have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2020 | Spartanii Selemet(away) | 2-4 | Liga 1 |
| Sep 19, 2020 | Făleşti(home) | 3-1 | Liga 1 |
| Sep 12, 2020 | Real Succes(away) | 1-1 | Liga 1 |
| Sep 4, 2020 | CSF Bălți(away) | 0-1 | Liga 1 |
| Aug 28, 2020 | Sireți(home) | 4-0 | Cupa |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2020 | Cahul(home) | 1-3 | Liga 1 |
| Sep 18, 2020 | Sucleia(away) | 2-2 | Liga 1 |
| Sep 11, 2020 | Sheriff II(home) | 0-1 | Liga 1 |
| Sep 5, 2020 | Grănicerul(away) | 4-0 | Liga 1 |
| Aug 28, 2020 | Dacia-Buiucani(home) | 0-4 | Cupa |
What does the head-to-head say?
Across the last 2 meetings: 0 Iskra wins, 0 draws, 2 Tighina wins.
| Date | Score | Competition |
|---|---|---|
| Sep 22, 2019 | Tighina 1-0 Iskra | Liga 1 |
| Jun 1, 2019 | Iskra 2-4 Tighina | Liga 1 |
How many goals should we expect?
Iskra score 1.9 and concede 2.0 goals per match over their last 15; Tighina score 1.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Iskra | 1.9 | 2.0 | 1 | 11/15 | 9/15 |
| Tighina | 1.9 | 1.1 | 6 | 6/15 | 10/15 |
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 Tighina?
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