Home › League stats › Liga MX Femenil

Mexico

Liga MX Femenil statistics and predictions

Season to date: 99 matches since 1 Aug 2026, last updated 23 Oct 2026.

Liga MX Femenil in numbers

99matches
3.54goals / game
53%home wins
8%draws
39%away wins
52%both teams scored
61%over 2.5 goals

Analysis

99 matches have been played in the Liga MX Femenil (Mexico) since 1 Aug 2026, averaging 3.54 goals a game. That makes it a higher-scoring competition than the average across our archive (3.06 goals a game).

Home sides won 52 (53%), 8 matches were drawn (8%) and away sides won 39 (39%). Home advantage here is stronger than usual. Both teams scored in 52% of matches, 61% went over 2.5 goals, 79% over 1.5, and 2 finished goalless.

Our team-strength model, refitted every night, rates the strongest attacks as América W (2.25), Monterrey W (1.65), Tigres UANL W (1.59), and the meanest defences as Juárez W (0.52), Tigres UANL W (0.61), Monterrey W (0.70). 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 1 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
1Monterrey W11100140132730
2América W1191147123528
3Tigres UANL W1191134102428
4Guadalajara W1180328111724
5Juárez W11803168824
6Toluca W117222516923
7Atlético San Luis W116142418619
8Pumas UNAM W115151917216
9León W115151818016
10Santos Laguna W115151320-716
11Cruz Azul W115061322-915
12Atlas W113441119-813
13Pachuca W113171517-210
14Tijuana W113171425-1110
15Atlante W11218615-97
16Querétaro W112091024-146
17Puebla W111191440-264
18Necaxa W110011345-420

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.