Klepp W vs Odd W: result 1-2 and analysis
1. Division WomenRegular Season - 3Kick-off on April 19, 2026 at 11:00 AM (UTC)
Full time
What was the result of Klepp W vs Odd W?
Odd W won 1-2 on April 19, 2026.
Goalscorers
- 12′?Odd W
- 36′?Odd W
- 67′656217Klepp W
What is the recent form of both teams?
Over their last 15 matches in all competitions, Klepp W have 1 win, 4 draws and 10 defeats; Odd W have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 28, 2026 | Åsane W(away) | 0-7 | 1. Division Women |
| Mar 22, 2026 | Kolbotn W(home) | 1-2 | 1. Division Women |
| Nov 18, 2023 | KIL / Hemne W(home) | 1-5 | 1. Division Women |
| Nov 12, 2023 | Grand Bodø W(home) | 0-0 | 1. Division Women |
| Nov 5, 2023 | Hønefoss W(away) | 2-3 | 1. Division Women |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 29, 2026 | TIL 2020 W(home) | 0-1 | 1. Division Women |
| Mar 21, 2026 | Arna-Bjørnar W(away) | 0-1 | 1. Division Women |
| Oct 18, 2025 | Fyllingsdalen W(away) | 2-1 | 1. Division Women |
| Oct 12, 2025 | Arna-Bjørnar W(home) | 0-3 | 1. Division Women |
| Oct 4, 2025 | Haugesund W(away) | 0-4 | 1. Division Women |
How many goals should we expect?
Klepp W score 0.9 and concede 2.8 goals per match over their last 15; Odd W score 1.0 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Klepp W | 0.9 | 2.8 | 2 | 7/15 | 11/15 |
| Odd W | 1.0 | 1.9 | 1 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Klepp W sit 10th in 1. Division Women (6 points from 8 matches) and Odd W sit 7th (9 points from 8 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Odd W | 8 | 2 | 3 | 3 | 9 | 10 | 9 |
| 10 | Klepp W | 8 | 2 | 0 | 6 | 11 | 26 | 6 |
A question about Klepp 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