Cahul vs Victoria Bardar: result 1-3 and analysis
Liga 1Regular Season - 20Kick-off on October 26, 2019 at 12:00 PM (UTC)Stadionul Raionul Atlant, Cahul
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What was the result of Cahul vs Victoria Bardar?
Victoria Bardar won 1-3 on October 26, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cahul have 8 wins, 4 draws and 3 defeats; Victoria Bardar have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2019 | Dacia-Buiucani(away) | 0-1 | Liga 1 |
| Oct 19, 2019 | Iskra(away) | 1-1 | Liga 1 |
| Oct 5, 2019 | Sîngerei(home) | 0-0 | Liga 1 |
| Sep 28, 2019 | Grănicerul(away) | 4-1 | Liga 1 |
| Sep 21, 2019 | Zaria Balti(away) | 1-1 | Liga 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2019 | Real Succes(home) | 4-3 | Liga 1 |
| Oct 2, 2019 | Dacia-Buiucani(away) | 1-3 | Liga 1 |
| Sep 28, 2019 | Tighina(home) | 2-2 | Liga 1 |
| Sep 21, 2019 | Ungheni(away) | 0-2 | Liga 1 |
| Sep 17, 2019 | Spartanii Selemet(away) | 0-3 | Liga 1 |
What does the head-to-head say?
In the last meeting: 0 Cahul wins, 0 draws, 1 Victoria Bardar win.
| Date | Score | Competition |
|---|---|---|
| Jul 9, 2019 | Victoria Bardar 3-2 Cahul | Liga 1 |
Last archived meeting: Victoria Bardar vs Cahul on Jul 9, 2019
How many goals should we expect?
Cahul score 2.3 and concede 1.1 goals per match over their last 15; Victoria Bardar score 2.3 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cahul | 2.3 | 1.1 | 3 | 10/15 | 10/15 |
| Victoria Bardar | 2.3 | 2.1 | 1 | 11/15 | 14/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Victoria Bardar | 7 | 2 | 1 | 4 | 7 | 12 | 7 |
A question about Cahul vs Victoria Bardar?
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