Sabah II vs Kapaz: result 0-1 and analysis
Birinci DastaRegular Season - 6Kick-off on October 3, 2019 at 11:30 AM (UTC)Binə qəsəbə stadionu, Binə
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What was the result of Sabah II vs Kapaz?
Kapaz won 0-1 on October 3, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sabah II have 9 wins, 1 draw and 5 defeats; Kapaz have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2019 | Neftçi II(away) | 2-1 | Birinci Dasta |
| Sep 20, 2019 | Qaradağ Lökbatan(home) | 2-0 | Birinci Dasta |
| Sep 13, 2019 | Səbail II(away) | 1-3 | Birinci Dasta |
| Aug 29, 2019 | Zirə II(home) | 2-1 | Birinci Dasta |
| Aug 23, 2019 | Zaqatala(away) | 1-0 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2019 | Ağsu(home) | 1-0 | Birinci Dasta |
| Sep 19, 2019 | Turan(away) | 0-2 | Birinci Dasta |
| Sep 13, 2019 | Sumqayıt II(home) | 1-1 | Birinci Dasta |
| Aug 28, 2019 | Keşlə II(away) | 2-2 | Birinci Dasta |
| Aug 22, 2019 | MOIK(home) | 2-2 | Birinci Dasta |
What does the head-to-head say?
Across the last 2 meetings: 1 Sabah II win, 1 draw, 0 Kapaz wins.
| Date | Score | Competition |
|---|---|---|
| Mar 7, 2019 | Kapaz 0-1 Sabah II | Birinci Dasta |
| Oct 4, 2018 | Sabah II 0-0 Kapaz | Birinci Dasta |
How many goals should we expect?
Sabah II score 1.4 and concede 0.9 goals per match over their last 15; Kapaz score 1.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sabah II | 1.4 | 0.9 | 7 | 6/15 | 7/15 |
| Kapaz | 1.1 | 1.7 | 3 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Sabah II vs Kapaz?
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