Shinnik Yaroslavl vs Tekstilshchik: result 1-0 and analysis
Cup4th RoundKick-off on August 21, 2019 at 03:30 PM (UTC)Stadion Shinnik, Yaroslavl'
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What was the result of Shinnik Yaroslavl vs Tekstilshchik?
Shinnik Yaroslavl won 1-0 on August 21, 2019.
Goalscorers
- 33′E. NizamutdinovShinnik Yaroslavl
What is the recent form of both teams?
Over their last 15 matches in all competitions, Shinnik Yaroslavl have 7 wins, 5 draws and 3 defeats; Tekstilshchik have 2, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 18, 2019 | Rotor Volgograd(away) | 3-2 | First League |
| Aug 14, 2019 | Enisey(home) | 0-0 | First League |
| Aug 10, 2019 | Tekstilshchik(away) | 1-1 | First League |
| Aug 3, 2019 | Avangard Kursk(home) | 1-3 | First League |
| Jul 28, 2019 | Luch-Energiya(away) | 1-2 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 18, 2019 | Torpedo Moskva(away) | 1-3 | First League |
| Aug 14, 2019 | Spartak Moscow 2(away) | 2-1 | First League |
| Aug 10, 2019 | Shinnik Yaroslavl(home) | 1-1 | First League |
| Aug 3, 2019 | FK Neftekhimik(away) | 2-1 | First League |
| Jul 28, 2019 | TOM Tomsk(away) | 1-2 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Shinnik Yaroslavl win(s), 1 draw(s), 0 Tekstilshchik win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 10, 2019 | Tekstilshchik 1-1 Shinnik Yaroslavl | First League |
Last archived meeting: Tekstilshchik vs Shinnik Yaroslavl on Aug 10, 2019
How many goals should we expect?
Shinnik Yaroslavl score 1.5 and concede 1.1 goals per match over their last 15; Tekstilshchik score 1.2 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Shinnik Yaroslavl | 1.5 | 1.1 | 5 | 9/15 | 7/15 |
| Tekstilshchik | 1.2 | 1.9 | 0 | 8/9 | 6/9 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy