Kapaz vs Turan: result 1-2 and analysis
Birinci DastaRegular Season - 17Kick-off on February 27, 2020 at 10:00 AM (UTC)Şəhər stadionu, Gəncə
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What was the result of Kapaz vs Turan?
Turan won 1-2 on February 27, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kapaz have 6 wins, 3 draws and 6 defeats; Turan have 10, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 21, 2020 | Sumqayıt II(away) | 0-1 | Birinci Dasta |
| Feb 13, 2020 | Keşlə II(home) | 3-3 | Birinci Dasta |
| Feb 6, 2020 | MOIK(away) | 1-0 | Birinci Dasta |
| Dec 3, 2019 | Şamaxı FK(away) | 1-3 | Cup |
| Nov 29, 2019 | Neftçi II(away) | 0-2 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 21, 2020 | Neftçi II(home) | 1-0 | Birinci Dasta |
| Feb 13, 2020 | Qaradağ Lökbatan(away) | 2-1 | Birinci Dasta |
| Feb 7, 2020 | Səbail II(home) | 0-0 | Birinci Dasta |
| Dec 9, 2019 | Zirə II(home) | 2-1 | Birinci Dasta |
| Nov 28, 2019 | Zaqatala(away) | 1-3 | Birinci Dasta |
What does the head-to-head say?
Across the last 6 meetings: 2 Kapaz wins, 0 draws, 4 Turan wins.
| Date | Score | Competition |
|---|---|---|
| Sep 19, 2019 | Turan 2-0 Kapaz | Birinci Dasta |
| Mar 28, 2019 | Turan 1-2 Kapaz | Birinci Dasta |
| Oct 25, 2018 | Kapaz 1-3 Turan | Birinci Dasta |
| Apr 18, 2015 | Turan 4-3 Kapaz | Birinci Dasta |
| Dec 8, 2014 | Kapaz 1-0 Turan | Birinci Dasta |
| Apr 19, 2014 | Turan 2-1 Kapaz | Birinci Dasta |
How many goals should we expect?
Kapaz score 1.1 and concede 1.2 goals per match over their last 15; Turan score 1.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kapaz | 1.1 | 1.2 | 6 | 4/15 | 6/15 |
| Turan | 1.7 | 1.1 | 6 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Kapaz 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