Match

Pachuca W vs Tijuana W: result 0-0 and analysis

Liga MX FemenilApertura - 1Kick-off on July 20, 2021 at 12:00 AM (UTC)Estadio Hidalgo, Pachuca de Soto

Pachuca W
0-0
Tijuana W

Full time

What was the result of Pachuca W vs Tijuana W?

Pachuca W and Tijuana W drew 0-0 on July 20, 2021.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Pachuca W have 8 wins, 2 draws and 5 defeats; Tijuana W have 5, 3 and 7.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Pachuca W
DateOpponentScoreCompetition
May 10, 2021Atlas W(away)1-3Liga MX Femenil
May 7, 2021Atlas W(home)0-2Liga MX Femenil
May 1, 2021Atlético San Luis W(home)4-1Liga MX Femenil
Apr 23, 2021Necaxa W(away)0-1Liga MX Femenil
Apr 17, 2021Mazatlán W(away)2-0Liga MX Femenil
Tijuana W
DateOpponentScoreCompetition
May 4, 2021Necaxa W(home)3-0Liga MX Femenil
Apr 23, 2021Querétaro W(away)1-2Liga MX Femenil
Apr 20, 2021Tigres UANL W(home)0-1Liga MX Femenil
Apr 6, 2021Pachuca W(away)1-2Liga MX Femenil
Mar 30, 2021León W(away)1-2Liga MX Femenil

What does the head-to-head say?

Across the last 2 meetings: 2 Pachuca W wins, 0 draws, 0 Tijuana W wins.

DateScoreCompetition
Apr 6, 2021Pachuca W 2-1 Tijuana WLiga MX Femenil
Sep 29, 2020Tijuana W 2-3 Pachuca WLiga MX Femenil

Last archived meeting: Pachuca W vs Tijuana W on Apr 6, 2021

How many goals should we expect?

Pachuca W score 1.5 and concede 0.9 goals per match over their last 15; Tijuana W score 1.1 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Pachuca W1.50.975/156/15
Tijuana W1.11.147/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Pachuca W sit 13th in Liga MX Femenil (10 points from 10 matches) and Tijuana W sit 14th (9 points from 10 matches).

2026 standings
#ClubPWDLGFGAPts
13Pachuca W10316141510
14Tijuana W1030713249

A question about Pachuca W vs Tijuana 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

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