Odense Q W vs BSF W: result 6-0 and analysis
KvindeligaRelegation - 3Kick-off on June 28, 2020 at 12:00 PM (UTC)
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What was the result of Odense Q W vs BSF W?
Odense Q W won 6-0 on June 28, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Odense Q W have 3 wins, 2 draws and 10 defeats; BSF W have 1, 2 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 17, 2020 | Køge W(home) | 0-2 | Kvindeliga |
| Jun 13, 2020 | Vildbjerg W(home) | 2-2 | Kvindeliga |
| Jun 6, 2020 | B 93 W(away) | 2-1 | Kvindeliga |
| Nov 16, 2019 | Nordsjælland W(away) | 0-3 | Kvindeliga |
| Nov 2, 2019 | VSK Aarhus W(away) | 0-4 | Kvindeliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 17, 2020 | B 93 W(home) | 1-2 | Kvindeliga |
| Jun 14, 2020 | Køge W(away) | 0-4 | Kvindeliga |
| Nov 16, 2019 | Thy ThistedQ W(home) | 0-2 | Kvindeliga |
| Nov 10, 2019 | VSK Aarhus W(home) | 1-5 | Kvindeliga |
| Nov 3, 2019 | Brøndby W(away) | 2-7 | Kvindeliga |
What does the head-to-head say?
Across the last 2 meetings: 1 Odense Q W win, 0 draws, 1 BSF W win.
| Date | Score | Competition |
|---|---|---|
| Oct 26, 2019 | BSF W 3-2 Odense Q W | Kvindeliga |
| Aug 3, 2019 | Odense Q W 3-0 BSF W | Kvindeliga |
How many goals should we expect?
Odense Q W score 1.5 and concede 3.3 goals per match over their last 15; BSF W score 0.9 and concede 3.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Odense Q W | 1.5 | 3.3 | 1 | 10/15 | 13/15 |
| BSF W | 0.9 | 3.3 | 0 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Odense Q W | 10 | 3 | 1 | 6 | 6 | 21 | 10 |
A question about Odense Q W vs BSF 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