Start W vs Odd W: result 0-1 and analysis
1. Division WomenRegular Season - 7Kick-off on May 11, 2025 at 01:00 PM (UTC)Sparebanken Sør Arena, Kristiansand
Full time
What was the result of Start W vs Odd W?
Odd W won 0-1 on May 11, 2025.
Goalscorers
- 2′?Odd W
What is the recent form of both teams?
Over their last 6 matches in all competitions, Start W have 1 win, 2 draws and 3 defeats; Odd W have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2025 | Åsane W(away) | 0-3 | 1. Division Women |
| Apr 27, 2025 | Arna-Bjørnar W(home) | 0-1 | 1. Division Women |
| Apr 19, 2025 | Viking FK W(away) | 1-1 | 1. Division Women |
| Apr 12, 2025 | Haugesund W(home) | 1-1 | 1. Division Women |
| Mar 30, 2025 | Fyllingsdalen W(away) | 0-1 | 1. Division Women |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2025 | Fyllingsdalen W(home) | 1-3 | 1. Division Women |
| Apr 26, 2025 | HamKam W(away) | 2-0 | 1. Division Women |
| Apr 20, 2025 | Fortuna Ålesund W(home) | 2-5 | 1. Division Women |
| Apr 12, 2025 | Åsane W(home) | 0-0 | 1. Division Women |
| Mar 29, 2025 | Viking FK W(away) | 4-2 | 1. Division Women |
How many goals should we expect?
Start W score 1.0 and concede 1.3 goals per match over their last 6; Odd W score 2.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Start W | 1.0 | 1.3 | 0 | 3/6 | 2/6 |
| Odd W | 2.2 | 1.3 | 7 | 8/15 | 10/15 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
Start W sit 1st in 1. Division Women (20 points from 8 matches) and Odd W sit 7th (9 points from 8 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Start W | 8 | 6 | 2 | 0 | 17 | 8 | 20 |
| 7 | Odd W | 8 | 2 | 3 | 3 | 9 | 10 | 9 |
A question about Start W vs Odd W?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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