Sisaket vs Chainat: result 2-1 and analysis
Thai League 1Regular Season - 13Kick-off on July 4, 2015 at 11:00 AM (UTC)Sri Nakhon Lamduan Stadium, Sisaket
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What was the result of Sisaket vs Chainat?
Sisaket won 2-1 on July 4, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sisaket have 6 wins, 1 draws and 8 defeats; Chainat have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 27, 2015 | Bangkok United(away) | 0-2 | Thai League 1 |
| Jun 24, 2015 | Ubon UMT(home) | 1-0 | FA Cup |
| Jun 21, 2015 | Navy FC(home) | 2-4 | Thai League 1 |
| May 9, 2015 | Chonburi FC(away) | 1-1 | Thai League 1 |
| May 3, 2015 | Chiangrai United(home) | 1-0 | Thai League 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 27, 2015 | Saraburi(home) | 1-1 | Thai League 1 |
| Jun 24, 2015 | Vongchavalitkul Univ.(home) | 4-0 | FA Cup |
| Jun 20, 2015 | Police Tero(away) | 1-1 | Thai League 1 |
| May 10, 2015 | BG Pathum United(home) | 1-1 | Thai League 1 |
| May 3, 2015 | Nakhon Ratchasima FC(away) | 1-2 | Thai League 1 |
What does the head-to-head say?
Across the last 5 meetings: 1 Sisaket win(s), 4 draw(s), 0 Chainat win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 6, 2014 | Sisaket 2-0 Chainat | Thai League 1 |
| Mar 15, 2014 | Chainat 1-1 Sisaket | Thai League 1 |
| Mar 3, 2013 | Sisaket 0-0 Chainat | Thai League 1 |
| Aug 4, 2012 | Sisaket 3-3 Chainat | Thai League 1 |
| Jul 7, 2012 | Chainat 1-1 Sisaket | Thai League 1 |
How many goals should we expect?
Sisaket score 1.2 and concede 1.4 goals per match over their last 15; Chainat score 1.3 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sisaket | 1.2 | 1.4 | 4 | 7/15 | 6/15 |
| Chainat | 1.3 | 1.2 | 3 | 11/15 | 7/15 |
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