Iskra vs Sheriff II: result 1-2 and analysis
Liga 1Regular Season - 14Kick-off on November 6, 2020 at 12:00 PM (UTC)Stadionul Orăşenesc Rîbnița, Rîbniţa
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What was the result of Iskra vs Sheriff II?
Sheriff II won 1-2 on November 6, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Iskra have 6 wins, 5 draws and 4 defeats; Sheriff II have 8, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Oct 10, 2020 | Sireți(away) | 4-4 | Liga 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2020 | Sucleia(away) | 1-4 | Liga 1 |
| Oct 23, 2020 | Sucleia(home) | 0-3 | Liga 1 |
| Oct 16, 2020 | Olimp Comrat(home) | 3-1 | Liga 1 |
| Oct 9, 2020 | Grănicerul(away) | 1-0 | Liga 1 |
| Oct 2, 2020 | Victoria Bardar(home) | 2-0 | Liga 1 |
What does the head-to-head say?
In the last meeting: 0 Iskra wins, 0 draws, 1 Sheriff II win.
| Date | Score | Competition |
|---|---|---|
| Jul 24, 2020 | Sheriff II 1-0 Iskra | Liga 1 |
How many goals should we expect?
Iskra score 2.3 and concede 1.8 goals per match over their last 15; Sheriff II score 1.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Iskra | 2.3 | 1.8 | 1 | 13/15 | 12/15 |
| Sheriff II | 1.7 | 0.9 | 6 | 5/13 | 6/13 |
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 Sheriff II?
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