Warbeyen W vs Viktoria Berlin W: result 2-3 and analysis
2. Frauen BundesligaMatchday 12Kick-off on December 7, 2025 at 01:00 PM (UTC)Eroglu-Arena, Kleve
Full time
What was the result of Warbeyen W vs Viktoria Berlin W?
Viktoria Berlin W won 2-3 on December 7, 2025.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Warbeyen W have 1 win, 4 draws and 10 defeats; Viktoria Berlin W have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 22, 2025 | Andernach W(away) | 1-2 | 2. Frauen Bundesliga |
| Nov 9, 2025 | Turbine Potsdam W(home) | 0-6 | 2. Frauen Bundesliga |
| Nov 2, 2025 | Stuttgart W(away) | 2-7 | 2. Frauen Bundesliga |
| Oct 19, 2025 | Wolfsburg II W(away) | 0-6 | 2. Frauen Bundesliga |
| Oct 11, 2025 | Borussia Monchengladbach W(home) | 1-1 | 2. Frauen Bundesliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 16, 2025 | Meppen W(away) | 0-3 | 2. Frauen Bundesliga |
| Nov 9, 2025 | Eintracht Frankfurt II W(away) | 2-0 | 2. Frauen Bundesliga |
| Nov 2, 2025 | Bayern München II W(home) | 7-0 | 2. Frauen Bundesliga |
| Oct 19, 2025 | Bochum W(away) | 3-0 | 2. Frauen Bundesliga |
| Oct 12, 2025 | SC Sand W(home) | 1-1 | 2. Frauen Bundesliga |
How many goals should we expect?
Warbeyen W score 1.3 and concede 3.8 goals per match over their last 15; Viktoria Berlin W score 1.8 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Warbeyen W | 1.3 | 3.8 | 1 | 9/15 | 12/15 |
| Viktoria Berlin W | 1.8 | 1.4 | 3 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Viktoria Berlin W | 10 | 9 | 0 | 1 | 17 | 5 | 27 |
A question about Warbeyen W vs Viktoria Berlin W?
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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