Keşlə II vs Turan: result 1-0 and analysis
Birinci DastaRegular Season - 21Kick-off on April 5, 2019 at 11:00 AM (UTC)
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What was the result of Keşlə II vs Turan?
Keşlə II won 1-0 on April 5, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Keşlə II have 8 wins, 3 draws and 4 defeats; Turan have 3, 0 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2019 | Qarabağ II(away) | 2-1 | Birinci Dasta |
| Mar 14, 2019 | Kapaz(home) | 1-1 | Birinci Dasta |
| Mar 8, 2019 | Ağsu(away) | 5-0 | Birinci Dasta |
| Feb 28, 2019 | Sabah II(home) | 0-2 | Birinci Dasta |
| Feb 22, 2019 | Səbail II(away) | 1-2 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 28, 2019 | Kapaz(home) | 1-2 | Birinci Dasta |
| Mar 13, 2019 | Sabah II(away) | 0-3 | Birinci Dasta |
| Mar 8, 2019 | Qaradağ Lökbatan(home) | 1-0 | Birinci Dasta |
| Mar 1, 2019 | Zaqatala(away) | 0-1 | Birinci Dasta |
| Feb 22, 2019 | Neftçi II(home) | 1-5 | Birinci Dasta |
What does the head-to-head say?
In the last meeting: 1 Keşlə II win, 0 draws, 0 Turan wins.
| Date | Score | Competition |
|---|---|---|
| Nov 1, 2018 | Turan 2-3 Keşlə II | Birinci Dasta |
How many goals should we expect?
Keşlə II score 1.8 and concede 1.1 goals per match over their last 15; Turan score 1.0 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Keşlə II | 1.8 | 1.1 | 5 | 8/15 | 9/15 |
| Turan | 1.0 | 2.3 | 1 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Keşlə II vs Turan?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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