Čist́ vs Lyuban': result 7-1 and analysis
2. DivisionRegular Season - 24Kick-off on October 14, 2017 at 12:30 PM (UTC)Stadyen Škol'nyj, Chist'
Full time
What was the result of Čist́ vs Lyuban'?
Čist́ won 7-1 on October 14, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Čist́ have 12 wins, 1 draw and 2 defeats; Lyuban' have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2017 | Sbornaya TF(away) | 4-2 | 2. Division |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2017 | Energosbyt-BSATU(home) | 0-1 | 2. Division |
| Sep 30, 2017 | Uzda(away) | 2-3 | 2. Division |
| Sep 23, 2017 | Viktoriya Maryina Horka(home) | 0-3 | 2. Division |
| Sep 16, 2017 | Molodechno-DYuSSh 4(away) | 1-8 | 2. Division |
| Sep 9, 2017 | SMI Autotrans(home) | 0-2 | 2. Division |
What does the head-to-head say?
In the last meeting: 1 Čist́ win, 0 draws, 0 Lyuban' wins.
| Date | Score | Competition |
|---|---|---|
| Jul 1, 2017 | Lyuban' 3-4 Čist́ | 2. Division |
How many goals should we expect?
Čist́ score 3.3 and concede 0.9 goals per match over their last 15; Lyuban' score 1.4 and concede 2.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Čist́ | 3.3 | 0.9 | 6 | 7/15 | 10/15 |
| Lyuban' | 1.4 | 2.8 | 1 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Čist́ 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