Ile-Saulet vs Lashyn: result 3-1 and analysis
1. DivisionRegular Season - 32Kick-off on October 1, 2013 at 10:00 AM (UTC)Stadion Dinamo, Almaty
Full time
What was the result of Ile-Saulet vs Lashyn?
Ile-Saulet won 3-1 on October 1, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ile-Saulet have 8 wins, 3 draws and 4 defeats; Lashyn have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2013 | BIIK(home) | 6-0 | 1. Division |
| Sep 21, 2013 | Kaspiy(away) | 0-1 | 1. Division |
| Sep 18, 2013 | Kaisar(away) | 1-4 | 1. Division |
| Sep 11, 2013 | Maqtaaral(home) | 3-2 | 1. Division |
| Sep 8, 2013 | Kyran(home) | 0-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2013 | CSKA Almaty(away) | 1-1 | 1. Division |
| Sep 21, 2013 | BIIK(away) | 2-0 | 1. Division |
| Sep 11, 2013 | Kaspiy(home) | 0-2 | 1. Division |
| Sep 8, 2013 | Kaisar(home) | 2-3 | 1. Division |
| Aug 31, 2013 | Maqtaaral(away) | 0-1 | 1. Division |
What does the head-to-head say?
Across the last 5 meetings: 2 Ile-Saulet wins, 2 draws, 1 Lashyn win.
| Date | Score | Competition |
|---|---|---|
| Apr 23, 2013 | Lashyn 0-1 Ile-Saulet | 1. Division |
| Aug 12, 2012 | Lashyn 0-0 Ile-Saulet | 1. Division |
| May 20, 2012 | Ile-Saulet 0-1 Lashyn | 1. Division |
| Aug 21, 2011 | Ile-Saulet 1-1 Lashyn | 1. Division |
| Jun 26, 2011 | Lashyn 0-2 Ile-Saulet | 1. Division |
How many goals should we expect?
Ile-Saulet score 2.0 and concede 1.0 goals per match over their last 15; Lashyn score 0.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ile-Saulet | 2.0 | 1.0 | 6 | 7/15 | 8/15 |
| Lashyn | 0.9 | 1.7 | 3 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Ile-Saulet vs Lashyn?
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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