Sbornaya TF vs Čist́: result 2-4 and analysis
2. DivisionRegular Season - 23Kick-off on October 7, 2017 at 11:00 AM (UTC)
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What was the result of Sbornaya TF vs Čist́?
Čist́ won 2-4 on October 7, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sbornaya TF have 3 wins, 1 draw and 11 defeats; Čist́ have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2017 | Energosbyt-BSATU(away) | 1-1 | 2. Division |
| Sep 24, 2017 | Uzda(home) | 2-4 | 2. Division |
| Sep 16, 2017 | Viktoriya Maryina Horka(away) | 0-2 | 2. Division |
| Sep 9, 2017 | Molodechno-DYuSSh 4(home) | 2-5 | 2. Division |
| Sep 2, 2017 | Čist́(away) | 0-4 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2017 | YuA-Stroy-DYuSSh(home) | 0-2 | 2. Division |
| Sep 23, 2017 | Sputnik(away) | 2-1 | 2. Division |
| Sep 16, 2017 | SDJuShOR-8(away) | 2-0 | 2. Division |
| Sep 9, 2017 | Energosbyt-BSATU(home) | 3-0 | 2. Division |
| Sep 2, 2017 | Sbornaya TF(home) | 4-0 | 2. Division |
What does the head-to-head say?
Across the last 2 meetings: 0 Sbornaya TF wins, 0 draws, 2 Čist́ wins.
| Date | Score | Competition |
|---|---|---|
| Sep 2, 2017 | Čist́ 4-0 Sbornaya TF | 2. Division |
| Jun 25, 2017 | Čist́ 7-1 Sbornaya TF | 2. Division |
How many goals should we expect?
Sbornaya TF score 1.5 and concede 3.7 goals per match over their last 15; Čist́ score 3.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sbornaya TF | 1.5 | 3.7 | 1 | 9/15 | 13/15 |
| Čist́ | 3.1 | 0.9 | 6 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Sbornaya TF 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