Saraburi vs Navy FC: result 2-1 and analysis
Thai League 2Matchday 11Kick-off on May 10, 2014 at 09:00 AM (UTC)Saraburi Stadium, Saraburi
Full time
What was the result of Saraburi vs Navy FC?
Saraburi won 2-1 on May 10, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Saraburi have 7 wins, 4 draws and 4 defeats; Navy FC have 5, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 3, 2014 | Trat FC(away) | 2-1 | Thai League 2 |
| Apr 27, 2014 | Phitsanulok(home) | 0-1 | Thai League 2 |
| Apr 23, 2014 | Navy FC(home) | 0-1 | FA Cup |
| Apr 19, 2014 | Nakhon Ratchasima FC(away) | 1-1 | Thai League 2 |
| Apr 9, 2014 | Grakcu Sai Mai United(away) | 3-2 | FA Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2014 | Roi Et(home) | 2-2 | Thai League 2 |
| Apr 26, 2014 | Nakhon Ratchasima FC(home) | 1-1 | Thai League 2 |
| Apr 23, 2014 | Saraburi(away) | 1-0 | FA Cup |
| Apr 20, 2014 | Phitsanulok(away) | 1-1 | Thai League 2 |
| Apr 6, 2014 | Chiangmai FC(home) | 1-0 | Thai League 2 |
What does the head-to-head say?
Across the last 5 meetings: 3 Saraburi wins, 0 draws, 2 Navy FC wins.
| Date | Score | Competition |
|---|---|---|
| Apr 23, 2014 | Saraburi 0-1 Navy FC | FA Cup |
| Jul 6, 2013 | Saraburi 2-1 Navy FC | Thai League 2 |
| Mar 2, 2013 | Navy FC 0-1 Saraburi | Thai League 2 |
| Sep 8, 2012 | Saraburi 2-1 Navy FC | Thai League 2 |
| May 20, 2012 | Navy FC 2-1 Saraburi | Thai League 2 |
How many goals should we expect?
Saraburi score 1.7 and concede 1.3 goals per match over their last 15; Navy FC score 0.9 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Saraburi | 1.7 | 1.3 | 2 | 11/15 | 10/15 |
| Navy FC | 0.9 | 0.8 | 6 | 7/15 | 2/15 |
Over the last 15 matches in all competitions.
A question about Saraburi vs Navy FC?
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