Kapaz vs Turan: result 2-3 and analysis
Birinci DastaRegular Season - 7Kick-off on November 26, 2020 at 09:00 AM (UTC)Şəhər stadionu, Gəncə
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What was the result of Kapaz vs Turan?
Turan won 2-3 on November 26, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kapaz have 8 wins, 2 draws and 5 defeats; Turan have 10, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2020 | MOIK(home) | 1-0 | Birinci Dasta |
| Nov 4, 2020 | Qaradağ Lökbatan(away) | 0-0 | Birinci Dasta |
| Oct 28, 2020 | Zaqatala(home) | 4-2 | Birinci Dasta |
| Oct 21, 2020 | Sumqayıt II(away) | 1-0 | Birinci Dasta |
| Oct 16, 2020 | Sabah II(away) | 1-2 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2020 | Qaradağ Lökbatan(away) | 3-1 | Birinci Dasta |
| Nov 4, 2020 | Sumqayıt II(away) | 3-0 | Birinci Dasta |
| Oct 29, 2020 | Keşlə II(away) | 0-0 | Birinci Dasta |
| Oct 21, 2020 | Qarabağ II(away) | 2-0 | Birinci Dasta |
| Oct 15, 2020 | MOIK(away) | 1-1 | Birinci Dasta |
What does the head-to-head say?
Across the last 6 meetings: 2 Kapaz win(s), 0 draw(s), 4 Turan win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 27, 2020 | Kapaz 1-2 Turan | Birinci Dasta |
| 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 |
How many goals should we expect?
Kapaz score 1.7 and concede 1.1 goals per match over their last 15; Turan score 1.5 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kapaz | 1.7 | 1.1 | 7 | 6/15 | 8/15 |
| Turan | 1.5 | 0.6 | 8 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy