Sputnik vs Uzda: result 4-2 and analysis
2. DivisionRegular Season - 9Kick-off on June 17, 2018 at 03:00 PM (UTC)Stadyen DYuSSh-8, Gomel
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What was the result of Sputnik vs Uzda?
Sputnik won 4-2 on June 17, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sputnik have 10 wins, 0 draws and 5 defeats; Uzda have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2018 | Neman-Agro(away) | 6-0 | 2. Division |
| Jun 2, 2018 | Bumprom(home) | 0-1 | 2. Division |
| May 26, 2018 | Molodechno-DYuSSh 4(away) | 3-0 | 2. Division |
| May 20, 2018 | Kletsk(home) | 7-0 | 2. Division |
| May 5, 2018 | SMI Autotrans(away) | 5-0 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2018 | Osipovichy(home) | 2-1 | 2. Division |
| Jun 3, 2018 | NFK Minsk(away) | 0-4 | 2. Division |
| May 27, 2018 | Ruh Brest(home) | 1-1 | 2. Division |
| May 5, 2018 | Neman-Agro(away) | 6-1 | 2. Division |
| Apr 29, 2018 | Bumprom(home) | 5-0 | 2. Division |
What does the head-to-head say?
Across the last 2 meetings: 2 Sputnik wins, 0 draws, 0 Uzda wins.
| Date | Score | Competition |
|---|---|---|
| Sep 9, 2017 | Sputnik 3-0 Uzda | 2. Division |
| May 27, 2017 | Uzda 1-4 Sputnik | 2. Division |
How many goals should we expect?
Sputnik score 3.3 and concede 0.8 goals per match over their last 15; Uzda score 2.1 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sputnik | 3.3 | 0.8 | 8 | 5/15 | 12/15 |
| Uzda | 2.1 | 1.9 | 2 | 9/15 | 14/15 |
Over the last 15 matches in all competitions.
A question about Sputnik 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