Sumqayıt II vs Neftçi II: result 0-3 and analysis
Birinci DastaRegular Season - 2Kick-off on August 28, 2019 at 12:30 PM (UTC)Mehdi Hüseynzadə adına Sumqayıt şəhər stadionu, Sumqayıt
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What was the result of Sumqayıt II vs Neftçi II?
Neftçi II won 0-3 on August 28, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sumqayıt II have 11 wins, 2 draws and 2 defeats; Neftçi II have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 22, 2019 | Qaradağ Lökbatan(away) | 2-0 | Birinci Dasta |
| May 10, 2019 | Şüvəlan(home) | 0-2 | Birinci Dasta |
| May 4, 2019 | Zirə II(away) | 4-2 | Birinci Dasta |
| Apr 26, 2019 | Turan(home) | 5-1 | Birinci Dasta |
| Apr 17, 2019 | Kapaz(away) | 3-1 | Birinci Dasta |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 22, 2019 | Keşlə II(home) | 1-1 | Birinci Dasta |
| May 10, 2019 | Qaradağ Lökbatan(home) | 4-1 | Birinci Dasta |
| May 4, 2019 | Zaqatala(away) | 1-1 | Birinci Dasta |
| Apr 26, 2019 | Keşlə II(home) | 1-0 | Birinci Dasta |
| Apr 17, 2019 | MOIK(home) | 4-1 | Birinci Dasta |
What does the head-to-head say?
Across the last 2 meetings: 2 Sumqayıt II wins, 0 draws, 0 Neftçi II wins.
| Date | Score | Competition |
|---|---|---|
| Mar 13, 2019 | Neftçi II 1-2 Sumqayıt II | Birinci Dasta |
| Oct 19, 2018 | Sumqayıt II 2-0 Neftçi II | Birinci Dasta |
Last archived meeting: Neftçi II vs Sumqayıt II on Mar 13, 2019
How many goals should we expect?
Sumqayıt II score 3.0 and concede 1.3 goals per match over their last 15; Neftçi II score 2.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sumqayıt II | 3.0 | 1.3 | 4 | 10/15 | 12/15 |
| Neftçi II | 2.5 | 1.1 | 4 | 11/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Sumqayıt II vs Neftçi II?
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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