Sumqayıt II vs Sabah II: result 4-1 and analysis
Birinci DastaRegular Season - 22Kick-off on April 11, 2019 at 11:00 AM (UTC)Mehdi Hüseynzadə adına Sumqayıt şəhər stadionu, Sumqayıt
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What was the result of Sumqayıt II vs Sabah II?
Sumqayıt II won 4-1 on April 11, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sumqayıt II have 10 wins, 2 draws and 3 defeats; Sabah II have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 5, 2019 | Qaradağ Lökbatan(away) | 1-1 | Birinci Dasta |
| Mar 28, 2019 | Zaqatala(home) | 3-2 | Birinci Dasta |
| Mar 13, 2019 | Neftçi II(away) | 2-1 | Birinci Dasta |
| Mar 7, 2019 | MOIK(home) | 1-2 | Birinci Dasta |
| Feb 28, 2019 | Qarabağ II(away) | 3-1 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 5, 2019 | Şüvəlan(home) | 0-0 | Birinci Dasta |
| Mar 29, 2019 | Zirə II(away) | 1-0 | Birinci Dasta |
| Mar 13, 2019 | Turan(home) | 3-0 | Birinci Dasta |
| Mar 7, 2019 | Kapaz(away) | 1-0 | Birinci Dasta |
| Feb 28, 2019 | Keşlə II(away) | 2-0 | Birinci Dasta |
What does the head-to-head say?
In the last meeting: 1 Sumqayıt II win, 0 draws, 0 Sabah II wins.
| Date | Score | Competition |
|---|---|---|
| Nov 9, 2018 | Sabah II 0-2 Sumqayıt II | Birinci Dasta |
Last archived meeting: Sabah II vs Sumqayıt II on Nov 9, 2018
How many goals should we expect?
Sumqayıt II score 2.4 and concede 1.1 goals per match over their last 15; Sabah II score 1.1 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sumqayıt II | 2.4 | 1.1 | 7 | 8/15 | 10/15 |
| Sabah II | 1.1 | 0.6 | 10 | 2/15 | 4/15 |
Over the last 15 matches in all competitions.
A question about Sumqayıt II vs Sabah 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