Reading W vs Sunderland W: result 0-1 and analysis
FA WSLFA WSL (Women Super League) - Round 1Kick-off on September 24, 2017 at 12:00 PM (UTC)
Full time
What was the result of Reading W vs Sunderland W?
Sunderland W won 0-1 on September 24, 2017.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Reading W have 2 wins, 2 draws and 4 defeats; Sunderland W have 2, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 3, 2017 | Sunderland W(away) | 1-1 | FA WSL |
| May 31, 2017 | Arsenal W(away) | 0-1 | FA WSL |
| May 28, 2017 | Birmingham City W(home) | 1-1 | FA WSL |
| May 17, 2017 | Yeovil Town W(away) | 1-0 | FA WSL |
| May 7, 2017 | Manchester City W(home) | 2-3 | FA WSL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 3, 2017 | Reading W(home) | 1-1 | FA WSL |
| May 31, 2017 | Manchester City W(home) | 0-1 | FA WSL |
| May 28, 2017 | Yeovil Town W(away) | 2-1 | FA WSL |
| May 21, 2017 | Chelsea W(home) | 0-7 | FA WSL |
| May 17, 2017 | Liverpool W(away) | 0-4 | FA WSL |
What does the head-to-head say?
In the last meeting: 0 Reading W wins, 1 draw, 0 Sunderland W wins.
| Date | Score | Competition |
|---|---|---|
| Jun 3, 2017 | Sunderland W 1-1 Reading W | FA WSL |
Last archived meeting: Sunderland W vs Reading W on Jun 3, 2017
How many goals should we expect?
Reading W score 1.3 and concede 1.9 goals per match over their last 8; Sunderland W score 0.5 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Reading W | 1.3 | 1.9 | 1 | 5/8 | 4/8 |
| Sunderland W | 0.5 | 1.8 | 3 | 2/8 | 3/8 |
Over the last 8 matches in all competitions.
A question about Reading W vs Sunderland W?
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