SDJuShOR-3 vs Energosbyt-BSATU: result 0-4 and analysis
2. DivisionMatchday 11Kick-off on July 2, 2017 at 02:00 PM (UTC)Stadyen Akademii Futbola, Pinsk
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What was the result of SDJuShOR-3 vs Energosbyt-BSATU?
Energosbyt-BSATU won 0-4 on July 2, 2017.
What is the recent form of both teams?
Over their last 9 matches in all competitions, SDJuShOR-3 have 2 wins, 0 draws and 7 defeats; Energosbyt-BSATU have 3, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 24, 2017 | Uzda(away) | 0-3 | 2. Division |
| Jun 10, 2017 | Molodechno-DYuSSh 4(away) | 0-5 | 2. Division |
| Jun 3, 2017 | SMI Autotrans(home) | 0-3 | 2. Division |
| May 27, 2017 | YuA-Stroy-DYuSSh(away) | 0-2 | 2. Division |
| May 21, 2017 | Kletsk(home) | 0-3 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 24, 2017 | Lyuban'(home) | 3-3 | 2. Division |
| Jun 17, 2017 | Sbornaya TF(away) | 2-1 | 2. Division |
| Jun 10, 2017 | Oshmyany(home) | 3-1 | 2. Division |
| Jun 3, 2017 | Sputnik(away) | 0-2 | 2. Division |
| May 27, 2017 | Čist́(home) | 0-2 | 2. Division |
How many goals should we expect?
SDJuShOR-3 score 0.8 and concede 2.6 goals per match over their last 9; Energosbyt-BSATU score 1.4 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SDJuShOR-3 | 0.8 | 2.6 | 1 | 1/9 | 7/9 |
| Energosbyt-BSATU | 1.4 | 2.0 | 1 | 4/10 | 7/10 |
Over the last 9 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 SDJuShOR-3 vs Energosbyt-BSATU?
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