Turan vs Səbail II: result 0-0 and analysis
Birinci DastaRegular Season - 14Kick-off on February 7, 2020 at 10:00 AM (UTC)Şəmkir Olimpiya İdman Kompleksinin stadionu, Şəmkir
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What was the result of Turan vs Səbail II?
Turan and Səbail II drew 0-0 on February 7, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Turan have 9 wins, 1 draw and 5 defeats; Səbail II 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 |
|---|---|---|---|
| Dec 9, 2019 | Zirə II(home) | 2-1 | Birinci Dasta |
| Nov 28, 2019 | Zaqatala(away) | 1-3 | Birinci Dasta |
| Nov 22, 2019 | Qarabağ II(home) | 3-0 | Birinci Dasta |
| Nov 7, 2019 | Sabah II(away) | 0-1 | Birinci Dasta |
| Nov 1, 2019 | Ağsu(away) | 1-3 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 9, 2019 | Sumqayıt II(away) | 1-1 | Birinci Dasta |
| Nov 29, 2019 | Keşlə II(home) | 3-0 | Birinci Dasta |
| Nov 21, 2019 | MOIK(away) | 1-0 | Birinci Dasta |
| Nov 8, 2019 | Kapaz(home) | 1-0 | Birinci Dasta |
| Oct 31, 2019 | Neftçi II(away) | 1-1 | Birinci Dasta |
What does the head-to-head say?
Across the last 3 meetings: 1 Turan win, 1 draw, 1 Səbail II win.
| Date | Score | Competition |
|---|---|---|
| Aug 23, 2019 | Səbail II 1-2 Turan | Birinci Dasta |
| May 4, 2019 | Turan 2-2 Səbail II | Birinci Dasta |
| Dec 10, 2018 | Səbail II 4-1 Turan | Birinci Dasta |
How many goals should we expect?
Turan score 2.0 and concede 1.7 goals per match over their last 15; Səbail II score 2.2 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Turan | 2.0 | 1.7 | 4 | 9/15 | 11/15 |
| Səbail II | 2.2 | 0.8 | 6 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Turan vs Səbail II?
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