Home › League stats › Primera División Femenina

Spain

Primera División Femenina statistics and predictions

Season to date: 64 matches since 29 Aug 2026, last updated 30 Oct 2026.

Primera División Femenina in numbers

64matches
2.92goals / game
47%home wins
20%draws
33%away wins
47%both teams scored
55%over 2.5 goals

Analysis

64 matches have been played in the Primera División Femenina (Spain) since 29 Aug 2026, averaging 2.92 goals a game. That is close to the average across our archive (3.07 goals a game).

Home sides won 30 (47%), 13 matches were drawn (20%) and away sides won 21 (33%). Home advantage is about typical. Both teams scored in 47% of matches, 55% went over 2.5 goals, 67% over 1.5, and 5 finished goalless.

Our team-strength model, refitted every night, rates the strongest attacks as Barcelona W (3.29), Real Madrid W (1.79), Atletico Madrid W (1.51), and the meanest defences as Barcelona W (0.31), Real Sociedad W (0.67), Real Madrid W (0.67). A rating of 1.00 is an average side in this competition.

Recent and upcoming PunterPick predictions

Results table

Calculated from the final scores in our archive since 29 Aug 2026. This is not the official table — it applies no points deductions or tie-break rules, and for cup competitions it simply totals results across rounds.

#TeamPWDLGFGAGDPts
1Barcelona W87013242821
2Real Madrid W86111916319
3Atletico Madrid W85031811715
4Athletic Club W8431128415
5Madrid CFF W84221315-214
6Eibar W833289-112
7Deportivo de La Coruña W8323109111
8Granad. Tenerife W83231214-211
9Granada8314814-610
10Espanyol W8233111019
11Edf Logrono W8305810-29
12Real Sociedad W82331013-39
13Sevilla W8233811-39
14FC Levante Badalona W8224913-48
15Deportivo Alavés W8215512-77
16Valencia W8008418-140

About these statistics

The figures above are counts over final scores (90 minutes) in the PunterPick results archive. Nothing is estimated: a match only counts once its final score is in. Team links lead to each side's own form, home and away record and the predictions we have published for them. How we build our predictions is explained on the methodology page.