Kletsk vs Lyuban': result 5-1 and analysis
2. DivisionRegular Season - 4Kick-off on May 13, 2017 at 11:00 AM (UTC)Stadyen Haradski, Kletsk
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What was the result of Kletsk vs Lyuban'?
Kletsk won 5-1 on May 13, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kletsk have 9 wins, 3 draws and 3 defeats; Lyuban' have 5, 0 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2017 | Sbornaya TF(away) | 0-1 | 2. Division |
| Apr 29, 2017 | Oshmyany(home) | 3-2 | 2. Division |
| Apr 22, 2017 | Sputnik(away) | 1-0 | 2. Division |
| Nov 5, 2016 | Osipovichy(home) | 2-0 | 2. Division |
| Oct 29, 2016 | Molodechno-DYuSSh 4(away) | 2-0 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2017 | SDJuShOR-3(home) | 0-3 | 2. Division |
| Apr 30, 2017 | SDJuShOR-8(away) | 3-0 | 2. Division |
| Oct 2, 2015 | Feniks(away) | 0-3 | 2. Division |
| Sep 26, 2015 | Feniks(home) | 0-9 | 2. Division |
| Sep 19, 2015 | Volna(away) | 1-7 | 2. Division |
What does the head-to-head say?
Across the last 2 meetings: 2 Kletsk wins, 0 draws, 0 Lyuban' wins.
| Date | Score | Competition |
|---|---|---|
| Aug 29, 2015 | Kletsk 2-1 Lyuban' | 2. Division |
| Jun 13, 2015 | Lyuban' 0-3 Kletsk | 2. Division |
How many goals should we expect?
Kletsk score 2.6 and concede 1.1 goals per match over their last 15; Lyuban' score 1.1 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kletsk | 2.6 | 1.1 | 4 | 9/15 | 9/15 |
| Lyuban' | 1.1 | 2.7 | 4 | 4/15 | 13/15 |
Over the last 15 matches in all competitions.
A question about Kletsk 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