#TeamPGxG/90+/-
1Toluca356975.452.16-6.5
2Tigres UANL356264.661.85-2.7
3Guadalajara315653.711.73+2.3
4Monterrey335750.131.52+6.9
5Cruz Azul336049.461.5+10.5
6América314844.491.44+3.5
7Pumas UNAM304642.681.42+3.3
8Tijuana324741.151.29+5.9
9Necaxa293837.791.3+0.2
10Santos Laguna293637.791.3-1.8
11Juárez324937.681.18+11.3
12Pachuca314037.671.22+2.3
13León292736.321.25-9.3
14Atlas293833.211.15+4.8
15Atlético San Luis294332.811.13+10.2
16Puebla293131.591.09-0.6
17Mazatlán293431.431.08+2.6
18Querétaro282729.711.06-2.7
#TeamPGAxGA/90+/-
1América313226.250.85+5.8
2Guadalajara313632.351.04+3.7
3Pachuca313433.061.07+0.9
4Cruz Azul333634.751.05+1.3
5Atlético San Luis295039.971.38+10
6Pumas UNAM304040.71.36-0.7
7Toluca353141.491.19-10.5
8Querétaro284542.031.5+3
9Juárez325442.841.34+11.2
10Monterrey334944.721.36+4.3
11Puebla295744.91.55+12.1
12Tijuana324345.951.44-3
13León295547.11.62+7.9
14Necaxa294847.391.63+0.6
15Atlas295148.081.66+2.9
16Tigres UANL353748.631.39-11.6
17Mazatlán295253.561.85-1.6
18Santos Laguna295853.961.86+4
#TeamPPTSxPTS/90+/-
1Toluca357367.911.94+5.1
2Tigres UANL356157.011.63+4
3Guadalajara316056.221.81+3.8
4Cruz Azul336855.381.68+12.6
5América315452.691.7+1.3
6Monterrey335148.491.47+2.5
7Pachuca314745.811.48+1.2
8Pumas UNAM304443.111.44+0.9
9Tijuana324241.841.31+0.2
10Juárez324140.531.27+0.5
11Atlético San Luis292736.411.26-9.4
12Necaxa293034.621.19-4.6
13León292634.031.17-8
14Puebla292431.781.1-7.8
15Santos Laguna292831.41.08-3.4
16Atlas293531.271.08+3.7
17Querétaro282829.651.06-1.7
18Mazatlán292527.10.93-2.1
#TeamPxGxGAxGD/90
1Toluca3575.4541.4933.960.97
2Guadalajara3153.7132.3521.360.69
3América3144.4926.2518.240.59
4Tigres UANL3564.6648.6316.030.46
5Cruz Azul3349.4634.7514.710.45
6Monterrey3350.1344.725.410.16
7Pachuca3137.6733.064.610.15
8Pumas UNAM3042.6840.71.980.07
9Tijuana3241.1545.95-4.8-0.15
10Juárez3237.6842.84-5.16-0.16
11Atlético San Luis2932.8139.97-7.16-0.25
12Necaxa2937.7947.39-9.6-0.33
13León2936.3247.1-10.78-0.37
14Querétaro2829.7142.03-12.32-0.44
15Puebla2931.5944.9-13.31-0.46
16Atlas2933.2148.08-14.87-0.51
17Santos Laguna2937.7953.96-16.17-0.56
18Mazatlán2931.4353.56-22.13-0.76
#TeamPGnpxGxG/90
1Toluca356959.6575.452.16
2Tigres UANL356248.8664.661.85
3Guadalajara315647.3953.711.73
4Cruz Azul336043.1449.461.5
5Monterrey335741.4450.131.52
6América314838.9644.491.44
7Necaxa293836.2137.791.3
8Pachuca314034.5137.671.22
9Tijuana324733.2541.151.29
10Pumas UNAM304633.242.681.42
11Juárez324932.9437.681.18
12Santos Laguna293632.2637.791.3
13León292730.7936.321.25
14Puebla293130.0131.591.09
15Mazatlán293428.2731.431.08
16Atlético San Luis294328.0732.811.13
17Atlas293824.5233.211.15
18Querétaro282724.1829.711.06
#TeamPGxGoTxG/90
1Tigres UANL356265.9764.661.85
2Toluca356965.9675.452.16
3Monterrey335753.5550.131.52
4Guadalajara315652.0553.711.73
5Cruz Azul336048.3749.461.5
6América314847.8144.491.44
7Pumas UNAM304641.842.681.42
8Santos Laguna293639.9937.791.3
9Tijuana324739.1541.151.29
10Juárez324938.7637.681.18
11Necaxa293837.0137.791.3
12Atlas293833.8133.211.15
13León292732.2736.321.25
14Atlético San Luis294332.2532.811.13
15Pachuca314031.9737.671.22
16Mazatlán293430.8631.431.08
17Puebla293130.6631.591.09
18Querétaro282726.5529.711.06
Upcoming Fixtures (Next 14 Days)
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Recent Results with xG
xG
Mon, Mar 23
xG
1
Juárez
2 - 1
Tigres UANL
0.7
xG
Sun, Mar 22
xG
0.96
Pachuca
1 - 1
Toluca
0.49
2.48
Santos Laguna
2 - 1
Puebla
1.32
1.44
Pumas UNAM
1 - 0
América
0.37
2.52
Monterrey
2 - 3
Guadalajara
1.23
0.6
Atlético San Luis
1 - 2
León
1.44
xG
Sat, Mar 21
xG
0.84
Atlas
0 - 0
Querétaro
0.9
1.02
Mazatlán
1 - 1
Cruz Azul
1.18
2.5
Necaxa
3 - 0
Tijuana
0.49
xG
Thu, Mar 19
xG
3.95
Guadalajara
5 - 0
León
0.23
xG
Mon, Mar 16
xG
2.06
América
2 - 0
Mazatlán
0.7
xG
Sun, Mar 15
xG
0.54
Tigres UANL
0 - 0
Querétaro
0.3
1.27
Pumas UNAM
2 - 2
Cruz Azul
1.58
1.68
Toluca
1 - 1
Atlas
0.65
0.92
León
0 - 3
Tijuana
1.3
xG
Sat, Mar 14
xG
1.89
Guadalajara
3 - 0
Santos Laguna
0.23
0.99
Atlético San Luis
1 - 1
Pachuca
1.21
3.72
Juárez
2 - 2
Monterrey
0.43
1.04
Puebla
0 - 0
Necaxa
0.44
xG
Mon, Mar 9
xG
1.13
Tijuana
1 - 2
Santos Laguna
2.85
xG
Sun, Mar 8
xG
2.66
Toluca
3 - 1
Juárez
0.48
1.25
Tigres UANL
1 - 0
Monterrey
0.1
1.29
Pachuca
2 - 1
Puebla
0.55
0.32
Atlas
1 - 2
Guadalajara
2.75
xG
Sat, Mar 7
xG
2.81
Cruz Azul
3 - 0
Atlético San Luis
0.96
1.07
Querétaro
1 - 2
América
1.91
0.59
Necaxa
0 - 1
Pumas UNAM
2.1
1.85
Mazatlán
4 - 2
León
1.04
xG
Thu, Mar 5
xG
1.64
América
1 - 2
Juárez
1.88
0.94
Atlas
2 - 1
Tijuana
1.57
1.5
Puebla
3 - 1
Tigres UANL
1.94
1.68
Monterrey
4 - 0
Querétaro
0.67
xG
Wed, Mar 4
xG
2.17
Pumas UNAM
2 - 3
Toluca
2.94
1.07
Atlético San Luis
4 - 1
Mazatlán
0.44
1.52
Pachuca
2 - 1
Necaxa
0.61
0.39
Santos Laguna
1 - 2
Cruz Azul
1.22
xG
Sun, Mar 1
xG
1.09
América
1 - 4
Tigres UANL
1.59
3.2
León
2 - 1
Necaxa
0.59
0.88
Monterrey
0 - 2
Cruz Azul
1.51
xG
Sat, Feb 28
xG
1.7
Toluca
2 - 0
Guadalajara
0.97
0.79
Atlético San Luis
0 - 1
Puebla
0.96
0.74
Tijuana
1 - 1
Pumas UNAM
1.54
0.9
Juárez
3 - 1
Atlas
1.84
1.52
Mazatlán
1 - 0
Pachuca
1.39
3.96
Querétaro
2 - 2
Santos Laguna
1.95
xG
Sun, Feb 22
xG
1.86
Pumas UNAM
2 - 0
Monterrey
1.43
0.81
Tijuana
1 - 1
Mazatlán
2.02
0.91
Cruz Azul
2 - 1
Guadalajara
1.32
0.59
Necaxa
0 - 3
Toluca
2.76
1.12
León
2 - 1
Santos Laguna
0.86

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Liga MX xG Table 2025/26

The Liga MX xG table for 2025/26 tracks expected goals data for all 18 teams. This includes xG (expected goals), xGA (expected goals against), xPTS (expected points), npxG (non-penalty xG), xGoT (expected goals on target), and the goals vs xG overperformance metric.

Who has the best attack?

Toluca top the xG charts with 75.45 expected goals from 35 games (2.16/90). With 69 goals scored, they are underperforming by 6.5.

Who has the best defence?

América have the tightest defence by xGA, conceding just 26.25 expected goals (0.85/90). Their actual goals conceded stands at 32.

Biggest overperformer

Juárez are the biggest overperformers in Liga MX, scoring 49 goals from an xG of just 37.68 — a difference of +11.3. This could indicate clinical finishing or luck that may not be sustainable over the full season.

Biggest underperformer

León are the most wasteful in front of goal, scoring 27 from an xG of 36.32 (diff: -9.3). Regression towards their xG would suggest improvement is likely.

Understanding the xG metrics

  • xG (Expected Goals): The total expected goals a team should have scored based on the quality of their chances.
  • xGA (Expected Goals Against): How many goals a team should have conceded — lower is better.
  • xPTS (Expected Points): How many league points a team deserves based on xG performance.
  • npxG (Non-Penalty xG): xG excluding penalties, giving a truer picture of open-play chance creation.
  • xGoT (xG on Target): Expected goals from shots that were on target only.
  • +/- (Overperformance): The difference between actual goals and xG. Positive = overperforming, negative = underperforming.

Data is updated daily, powered by advanced xG models covering 50+ competitions. Learn more about how xG works.

Data last updated: 2026-04-03 19:06:03