Sbornaya TF vs Uzda: result 2-4 and analysis
2. DivisionRegular Season - 21Kick-off on September 24, 2017 at 11:00 AM (UTC)
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What was the result of Sbornaya TF vs Uzda?
Uzda won 2-4 on September 24, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sbornaya TF have 3 wins, 0 draws and 12 defeats; Uzda have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 26, 2017 | YuA-Stroy-DYuSSh(home) | 0-4 | 2. Division |
| Aug 19, 2017 | Kletsk(away) | 0-5 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2017 | Oshmyany(home) | 0-4 | 2. Division |
| Sep 9, 2017 | Sputnik(away) | 0-3 | 2. Division |
| Sep 2, 2017 | SMI Autotrans(home) | 0-5 | 2. Division |
| Aug 26, 2017 | Energosbyt-BSATU(away) | 2-2 | 2. Division |
| Aug 19, 2017 | SDJuShOR-8(away) | 3-4 | 2. Division |
What does the head-to-head say?
In the last meeting: 0 Sbornaya TF wins, 0 draws, 1 Uzda win.
| Date | Score | Competition |
|---|---|---|
| Jun 10, 2017 | Uzda 4-2 Sbornaya TF | 2. Division |
How many goals should we expect?
Sbornaya TF score 1.4 and concede 3.7 goals per match over their last 15; Uzda score 1.7 and concede 2.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sbornaya TF | 1.4 | 3.7 | 1 | 8/15 | 13/15 |
| Uzda | 1.7 | 2.8 | 1 | 11/15 | 13/15 |
Over the last 15 matches in all competitions.
A question about Sbornaya TF vs Uzda?
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