Krabi FC vs Thai Honda FC: result 2-1 and analysis
Thai League 2Regular Season - 18Kick-off on June 26, 2016 at 11:00 AM (UTC)Krabi Provincial Stadium, Krabi
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What was the result of Krabi FC vs Thai Honda FC?
Krabi FC won 2-1 on June 26, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Krabi FC have 3 wins, 5 draws and 7 defeats; Thai Honda FC have 6, 7 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 22, 2016 | PTT Rayong(away) | 1-1 | Thai League 2 |
| Jun 18, 2016 | Lampang FC(home) | 1-0 | Thai League 2 |
| Jun 15, 2016 | Raj Pracha(home) | 0-0 | FA Cup |
| Jun 12, 2016 | Thai Honda FC(away) | 0-1 | Thai League 2 |
| May 28, 2016 | Rayong FC(home) | 1-0 | Thai League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 22, 2016 | Ang Thong FC(home) | 0-1 | Thai League 2 |
| Jun 18, 2016 | Chiangmai FC(away) | 1-1 | Thai League 2 |
| Jun 15, 2016 | Pattaya United(home) | 1-2 | FA Cup |
| Jun 12, 2016 | Krabi FC(home) | 1-0 | Thai League 2 |
| May 28, 2016 | Khon Kaen United(away) | 0-0 | Thai League 2 |
What does the head-to-head say?
Across the last 3 meetings: 0 Krabi FC win(s), 1 draw(s), 2 Thai Honda FC win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 12, 2016 | Thai Honda FC 1-0 Krabi FC | Thai League 2 |
| Sep 12, 2015 | Thai Honda FC 2-2 Krabi FC | Thai League 2 |
| Apr 22, 2015 | Krabi FC 0-1 Thai Honda FC | Thai League 2 |
Last archived meeting: Thai Honda FC vs Krabi FC on Jun 12, 2016
How many goals should we expect?
Krabi FC score 0.7 and concede 0.9 goals per match over their last 15; Thai Honda FC score 1.1 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Krabi FC | 0.7 | 0.9 | 5 | 5/15 | 3/15 |
| Thai Honda FC | 1.1 | 0.7 | 7 | 7/15 | 4/15 |
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