Făleşti vs Iskra: result 1-5 and analysis
Liga 1Regular Season - 20Kick-off on April 24, 2021 at 01:00 PM (UTC)Stadionul Făleşti, Făleşti
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What was the result of Făleşti vs Iskra?
Iskra won 1-5 on April 24, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Făleşti have 3 wins, 0 draws and 12 defeats; Iskra have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2021 | Cahul(away) | 0-1 | Liga 1 |
| Apr 17, 2021 | Sucleia(home) | 2-0 | Liga 1 |
| Apr 13, 2021 | Sheriff II(away) | 1-2 | Liga 1 |
| Nov 20, 2020 | Grănicerul(home) | 1-2 | Liga 1 |
| Nov 13, 2020 | Victoria Bardar(away) | 1-4 | Liga 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2021 | Real Succes(home) | 2-1 | Liga 1 |
| Apr 17, 2021 | CSF Bălți(home) | 1-2 | Liga 1 |
| Mar 19, 2021 | Olimp Comrat(home) | 3-3 | Liga 1 |
| Nov 21, 2020 | Cahul(away) | 0-3 | Liga 1 |
| Nov 13, 2020 | Sucleia(away) | 1-5 | Liga 1 |
What does the head-to-head say?
In the last meeting: 0 Făleşti wins, 0 draws, 1 Iskra win.
| Date | Score | Competition |
|---|---|---|
| Sep 19, 2020 | Iskra 3-1 Făleşti | Liga 1 |
How many goals should we expect?
Făleşti score 1.1 and concede 3.4 goals per match over their last 15; Iskra score 1.9 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Făleşti | 1.1 | 3.4 | 2 | 10/15 | 12/15 |
| Iskra | 1.9 | 2.3 | 0 | 14/15 | 14/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Făleşti sit 4th in Liga 1 (7 points from 6 matches) and Iskra sit 2nd (18 points from 8 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Iskra | 8 | 6 | 0 | 2 | 22 | 8 | 18 |
| 4 | Făleşti | 6 | 2 | 1 | 3 | 4 | 6 | 7 |
A question about Făleşti vs Iskra?
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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