SDJuShOR-8 vs Čist́: result 0-2 and analysis
2. DivisionRegular Season - 20Kick-off on September 16, 2017 at 02:30 PM (UTC)Stadyen DYuSSh-8, Gomel
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What was the result of SDJuShOR-8 vs Čist́?
Čist́ won 0-2 on September 16, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, SDJuShOR-8 have 2 wins, 0 draws and 13 defeats; Čist́ have 12, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2017 | Kletsk(away) | 1-9 | 2. Division |
| Sep 5, 2017 | Energosbyt-BSATU(home) | 1-2 | 2. Division |
| Aug 26, 2017 | SDJuShOR-3(away) | 1-2 | 2. Division |
| Aug 19, 2017 | Uzda(home) | 4-3 | 2. Division |
| Aug 12, 2017 | Lyuban'(away) | 0-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2017 | Energosbyt-BSATU(home) | 3-0 | 2. Division |
| Sep 2, 2017 | Sbornaya TF(home) | 4-0 | 2. Division |
| Aug 26, 2017 | Viktoriya Maryina Horka(home) | 3-0 | 2. Division |
| Aug 19, 2017 | Molodechno-DYuSSh 4(away) | 4-2 | 2. Division |
| Aug 12, 2017 | SMI Autotrans(home) | 1-0 | 2. Division |
What does the head-to-head say?
In the last meeting: 0 SDJuShOR-8 wins, 0 draws, 1 Čist́ win.
| Date | Score | Competition |
|---|---|---|
| Jun 3, 2017 | Čist́ 3-2 SDJuShOR-8 | 2. Division |
How many goals should we expect?
SDJuShOR-8 score 1.2 and concede 4.1 goals per match over their last 15; Čist́ score 3.4 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SDJuShOR-8 | 1.2 | 4.1 | 0 | 8/15 | 13/15 |
| Čist́ | 3.4 | 0.9 | 6 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about SDJuShOR-8 vs Čist́?
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