SDJuShOR-3 vs Lyuban': result 3-4 and analysis
2. DivisionRegular Season - 16Kick-off on August 20, 2017 at 02:00 PM (UTC)Stadyen Akademii Futbola, Pinsk
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What was the result of SDJuShOR-3 vs Lyuban'?
Lyuban' won 3-4 on August 20, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, SDJuShOR-3 have 2 wins, 0 draws and 13 defeats; Lyuban' have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 12, 2017 | Sbornaya TF(away) | 3-6 | 2. Division |
| Aug 6, 2017 | Oshmyany(home) | 1-6 | 2. Division |
| Jul 22, 2017 | Viktoriya Maryina Horka(home) | 0-2 | 2. Division |
| Jul 19, 2017 | Čist́(away) | 0-12 | 2. Division |
| Jul 15, 2017 | Sputnik(home) | 1-6 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 12, 2017 | SDJuShOR-8(home) | 1-0 | 2. Division |
| Aug 5, 2017 | Sbornaya TF(home) | 3-2 | 2. Division |
| Jul 22, 2017 | Sbornaya TF(away) | 0-3 | 2. Division |
| Jul 15, 2017 | Oshmyany(home) | 0-6 | 2. Division |
| Jul 8, 2017 | Sputnik(away) | 1-2 | 2. Division |
What does the head-to-head say?
In the last meeting: 1 SDJuShOR-3 win, 0 draws, 0 Lyuban' wins.
| Date | Score | Competition |
|---|---|---|
| May 6, 2017 | Lyuban' 0-3 SDJuShOR-3 | 2. Division |
How many goals should we expect?
SDJuShOR-3 score 0.8 and concede 3.9 goals per match over their last 15; Lyuban' score 1.5 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SDJuShOR-3 | 0.8 | 3.9 | 1 | 4/15 | 12/15 |
| Lyuban' | 1.5 | 2.9 | 2 | 7/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about SDJuShOR-3 vs Lyuban'?
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