Lyuban' vs Kletsk: result 1-1 and analysis
2. DivisionRegular Season - 17Kick-off on August 26, 2017 at 09:00 AM (UTC)Stadyen Haradski, Lyuban'
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What was the result of Lyuban' vs Kletsk?
Lyuban' and Kletsk drew 1-1 on August 26, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lyuban' have 4 wins, 2 draws and 9 defeats; Kletsk have 10, 0 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 20, 2017 | SDJuShOR-3(away) | 4-3 | 2. Division |
| Aug 12, 2017 | SDJuShOR-8(home) | 1-0 | 2. Division |
| Aug 5, 2017 | Sbornaya TF(home) | 3-2 | 2. Division |
| Jul 22, 2017 | Sbornaya TF(away) | 0-3 | 2. Division |
| Jul 15, 2017 | Oshmyany(home) | 0-6 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2017 | Sbornaya TF(home) | 5-0 | 2. Division |
| Aug 12, 2017 | Oshmyany(away) | 0-3 | 2. Division |
| Aug 5, 2017 | Sputnik(home) | 1-5 | 2. Division |
| Jul 15, 2017 | Čist́(home) | 1-2 | 2. Division |
| Jul 8, 2017 | Energosbyt-BSATU(away) | 3-2 | 2. Division |
What does the head-to-head say?
Across the last 3 meetings: 0 Lyuban' wins, 0 draws, 3 Kletsk wins.
| Date | Score | Competition |
|---|---|---|
| May 13, 2017 | Kletsk 5-1 Lyuban' | 2. Division |
| Aug 29, 2015 | Kletsk 2-1 Lyuban' | 2. Division |
| Jun 13, 2015 | Lyuban' 0-3 Kletsk | 2. Division |
How many goals should we expect?
Lyuban' score 1.5 and concede 3.1 goals per match over their last 15; Kletsk score 2.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lyuban' | 1.5 | 3.1 | 1 | 8/15 | 11/15 |
| Kletsk | 2.5 | 1.5 | 4 | 9/15 | 13/15 |
Over the last 15 matches in all competitions.
A question about Lyuban' vs Kletsk?
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