Sucleia vs Sheriff II: result 4-1 and analysis
Liga 1Regular Season - 13Kick-off on October 30, 2020 at 12:00 PM (UTC)Stadionul Raionul Atlant, Cahul
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What was the result of Sucleia vs Sheriff II?
Sucleia won 4-1 on October 30, 2020.
What is the recent form of both teams?
Over their last 14 matches in all competitions, Sucleia have 8 wins, 2 draws and 4 defeats; Sheriff II have 8, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2020 | Sheriff II(away) | 3-0 | Liga 1 |
| Oct 16, 2020 | Grănicerul(home) | 5-0 | Liga 1 |
| Oct 9, 2020 | Victoria Bardar(away) | 6-4 | Liga 1 |
| Oct 2, 2020 | Speranța Drochia(home) | 1-1 | Liga 1 |
| Sep 26, 2020 | Sireți(away) | 9-0 | Liga 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 25, 2020 | Speranța Drochia(away) | 1-1 | Liga 1 |
What does the head-to-head say?
In the last meeting: 1 Sucleia win, 0 draws, 0 Sheriff II wins.
| Date | Score | Competition |
|---|---|---|
| Oct 23, 2020 | Sheriff II 0-3 Sucleia | Liga 1 |
Last archived meeting: Sheriff II vs Sucleia on Oct 23, 2020
How many goals should we expect?
Sucleia score 2.9 and concede 1.8 goals per match over their last 14; Sheriff II score 1.8 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sucleia | 2.9 | 1.8 | 5 | 9/14 | 11/14 |
| Sheriff II | 1.8 | 0.7 | 6 | 4/12 | 5/12 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Sheriff II | 15 | 4 | 3 | 8 | 18 | 27 | 15 |
A question about Sucleia vs Sheriff II?
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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