Energosbyt-BSATU vs Neman-Agro: result 4-2 and analysis
2. DivisionMatchday 11Kick-off on June 30, 2018 at 12:00 PM (UTC)Stadyen BGATU (BATU), Minsk
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What was the result of Energosbyt-BSATU vs Neman-Agro?
Energosbyt-BSATU won 4-2 on June 30, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Energosbyt-BSATU have 3 wins, 4 draws and 8 defeats; Neman-Agro have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 23, 2018 | Bumprom(away) | 3-0 | 2. Division |
| Jun 17, 2018 | Molodechno-DYuSSh 4(home) | 3-3 | 2. Division |
| Jun 9, 2018 | Kletsk(home) | 0-3 | 2. Division |
| Jun 2, 2018 | SMI Autotrans(home) | 0-2 | 2. Division |
| May 27, 2018 | Oshmyany(away) | 0-4 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 24, 2018 | Gorki(home) | 3-2 | 2. Division |
| Jun 17, 2018 | Viktoriya Maryina Horka(away) | 1-1 | 2. Division |
| Jun 9, 2018 | Sputnik(home) | 0-6 | 2. Division |
| Jun 2, 2018 | Osipovichy(away) | 1-5 | 2. Division |
| May 27, 2018 | NFK Minsk(home) | 1-6 | 2. Division |
How many goals should we expect?
Energosbyt-BSATU score 1.3 and concede 2.6 goals per match over their last 15; Neman-Agro score 1.1 and concede 3.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Energosbyt-BSATU | 1.3 | 2.6 | 3 | 7/15 | 9/15 |
| Neman-Agro | 1.1 | 3.5 | 0 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2023 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Energosbyt-BSATU | 16 | 2 | 1 | 13 | 16 | 63 | 7 |
A question about Energosbyt-BSATU vs Neman-Agro?
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