Cwmamman United FC vs Swansea University: result 1-2 and analysis
FAW ChampionshipSouth - 4Kick-off on August 30, 2019 at 06:30 PM (UTC)Grenig Park, Glanaman
Full time
What was the result of Cwmamman United FC vs Swansea University?
Swansea University won 1-2 on August 30, 2019.
Goalscorers
- 19′?Swansea University
- 65′?Cwmamman United FC
- 75′?Swansea University
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cwmamman United FC have 6 wins, 2 draws and 7 defeats; Swansea University have 3, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2019 | Taffs Well(away) | 1-6 | FAW Championship |
| Aug 23, 2019 | Cwmbran Celtic(home) | 2-1 | FAW Championship |
| Aug 17, 2019 | STM Sports(away) | 1-3 | FAW Championship |
| May 11, 2019 | Penybont(home) | 0-9 | FAW Championship |
| May 4, 2019 | Ton Pentre(home) | 3-4 | FAW Championship |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2019 | Ammanford AFC(away) | 4-2 | FAW Championship |
| Aug 23, 2019 | Taffs Well(away) | 3-1 | FAW Championship |
| Aug 16, 2019 | Cwmbran Celtic(away) | 1-1 | FAW Championship |
| Nov 10, 2018 | Haverfordwest County AFC(away) | 3-4 | Welsh Cup |
| Oct 20, 2018 | Trefelin(away) | 2-1 | Welsh Cup |
How many goals should we expect?
Cwmamman United FC score 1.7 and concede 2.7 goals per match over their last 15; Swansea University score 2.6 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cwmamman United FC | 1.7 | 2.7 | 0 | 12/15 | 12/15 |
| Swansea University | 2.6 | 1.8 | 0 | 5/5 | 4/5 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Swansea University | 4 | 4 | 0 | 0 | 14 | 1 | 12 |
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