Sunkar vs Ile-Saulet: result 2-3 and analysis
1. DivisionRegular Season - 14Kick-off on June 26, 2013 at 12:30 PM (UTC)Stadion 10 let Nezavisimosti RK, Kaskelen
Full time
What was the result of Sunkar vs Ile-Saulet?
Ile-Saulet won 2-3 on June 26, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sunkar have 6 wins, 6 draws and 3 defeats; Ile-Saulet have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 23, 2013 | CSKA Almaty(home) | 2-0 | 1. Division |
| Jun 1, 2013 | Gefest(away) | 1-0 | 1. Division |
| May 29, 2013 | Astana-64(away) | 0-0 | 1. Division |
| May 22, 2013 | Okzhetpes(home) | 1-1 | 1. Division |
| May 19, 2013 | Kyzylzhar(home) | 1-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 23, 2013 | Ak-Bulak(away) | 1-1 | 1. Division |
| Jun 1, 2013 | Bulat(home) | 2-1 | 1. Division |
| May 29, 2013 | Bayterek(home) | 2-0 | 1. Division |
| May 22, 2013 | Kyran(away) | 1-3 | 1. Division |
| May 19, 2013 | Maqtaaral(away) | 1-1 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 2 Sunkar wins, 0 draws, 0 Ile-Saulet wins.
| Date | Score | Competition |
|---|---|---|
| Aug 11, 2011 | Sunkar 1-0 Ile-Saulet | 1. Division |
| Jul 6, 2011 | Ile-Saulet 0-2 Sunkar | 1. Division |
How many goals should we expect?
Sunkar score 0.9 and concede 0.6 goals per match over their last 15; Ile-Saulet score 1.8 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sunkar | 0.9 | 0.6 | 7 | 6/15 | 3/15 |
| Ile-Saulet | 1.8 | 0.9 | 6 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Sunkar vs Ile-Saulet?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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