#TeamPGxG/90+/-
1Toluca316167.842.19-6.8
2Tigres UANL315960.641.96-1.6
3Monterrey294945.211.56+3.8
4Guadalajara274343.971.63-1
5Cruz Azul295243.541.5+8.5
6América274338.491.43+4.5
7Tijuana284236.581.31+5.4
8Pumas UNAM264035.61.37+4.4
9Pachuca273433.611.24+0.4
10Necaxa253433.521.34+0.5
11Santos Laguna253132.871.31-1.9
12León252332.581.3-9.6
13Atlas253432.091.28+1.9
14Juárez284230.651.09+11.4
15Atlético San Luis253729.941.2+7.1
16Mazatlán252827.941.12+0.1
17Querétaro242627.731.16-1.7
18Puebla252627.031.08-1
#TeamPGAxGA/90+/-
1América272821.050.78+7
2Guadalajara273328.921.07+4.1
3Cruz Azul293231.61.09+0.4
4Pachuca273032.191.19-2.2
5Atlético San Luis254334.571.38+8.4
6Pumas UNAM263535.041.350
7Toluca312637.151.2-11.2
8Juárez284737.551.34+9.5
9Querétaro243937.681.57+1.3
10Monterrey294337.721.3+5.3
11Tijuana283638.581.38-2.6
12Puebla255238.991.56+13
13León254239.581.58+2.4
14Necaxa254542.281.69+2.7
15Atlas254742.481.7+4.5
16Tigres UANL313246.541.5-14.5
17Santos Laguna255148.851.95+2.2
18Mazatlán254349.061.96-6.1
#TeamPPTSxPTS/90+/-
1Toluca316560.611.96+4.4
2Tigres UANL315750.521.63+6.5
3Cruz Azul296047.891.65+12.1
4Guadalajara274847.391.76+0.6
5América274846.781.73+1.2
6Monterrey294743.691.51+3.3
7Pachuca273938.431.42+0.6
8Tijuana283937.591.34+1.4
9Pumas UNAM263736.381.4+0.6
10Juárez283434.371.23-0.4
11Atlético San Luis252332.271.29-9.3
12Necaxa252630.061.2-4.1
13León252329.871.19-6.9
14Atlas253028.21.13+1.8
15Puebla252027.061.08-7.1
16Santos Laguna252226.251.05-4.3
17Querétaro242626.061.09-0.1
18Mazatlán252122.640.91-1.6
#TeamPxGxGAxGD/90
1Toluca3167.8437.1530.690.99
2América2738.4921.0517.440.65
3Guadalajara2743.9728.9215.050.56
4Tigres UANL3160.6446.5414.10.45
5Cruz Azul2943.5431.611.940.41
6Monterrey2945.2137.727.490.26
7Pachuca2733.6132.191.420.05
8Pumas UNAM2635.635.040.560.02
9Tijuana2836.5838.58-2-0.07
10Atlético San Luis2529.9434.57-4.63-0.19
11Juárez2830.6537.55-6.9-0.25
12León2532.5839.58-7-0.28
13Necaxa2533.5242.28-8.76-0.35
14Querétaro2427.7337.68-9.95-0.41
15Atlas2532.0942.48-10.39-0.42
16Puebla2527.0338.99-11.96-0.48
17Santos Laguna2532.8748.85-15.98-0.64
18Mazatlán2527.9449.06-21.12-0.84
#TeamPGnpxGxG/90
1Toluca316152.8367.842.19
2Tigres UANL315945.6360.641.96
3Guadalajara274340.0243.971.63
4Monterrey294937.3145.211.56
5Cruz Azul295237.2243.541.5
6América274333.7538.491.43
7Necaxa253431.9433.521.34
8Pachuca273430.4533.611.24
9Tijuana284230.2636.581.31
10Pumas UNAM264028.4935.61.37
11León252327.0532.581.3
12Juárez284226.730.651.09
13Santos Laguna253126.5532.871.31
14Puebla252625.4527.031.08
15Atlético San Luis253725.229.941.2
16Mazatlán252824.7827.941.12
17Atlas253422.6132.091.28
18Querétaro242622.227.731.16
#TeamPGxGoTxG/90
1Tigres UANL315964.0260.641.96
2Toluca316159.4367.842.19
3Monterrey294947.3145.211.56
4Cruz Azul295242.0843.541.5
5América274341.1338.491.43
6Guadalajara274339.5443.971.63
7Pumas UNAM264036.3335.61.37
8Tijuana284235.5936.581.31
9Santos Laguna253135.1932.871.31
10Necaxa253433.3933.521.34
11Juárez284232.5630.651.09
12Atlas253432.432.091.28
13Atlético San Luis253731.1129.941.2
14Pachuca273429.4233.611.24
15León252328.0332.581.3
16Mazatlán252827.5927.941.12
17Querétaro242626.8627.731.16
18Puebla252624.5627.031.08
Upcoming Fixtures (Next 14 Days)
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Recent Results with xG
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
xG
Sat, Feb 21
xG
2.95
Atlas
3 - 2
Atlético San Luis
0.68
0.85
Puebla
0 - 4
América
2.22
0.57
Tigres UANL
1 - 2
Pachuca
1.18
xG
Sun, Feb 15
xG
2.38
Santos Laguna
1 - 2
Mazatlán
1.04
1.78
Cruz Azul
2 - 1
Tigres UANL
0.5
1.36
Guadalajara
1 - 0
América
0.48
1.22
Juárez
1 - 2
Necaxa
0.7
1.44
Monterrey
1 - 0
León
0.54
xG
Sat, Feb 14
xG
0.59
Pachuca
3 - 1
Atlas
1.62
1.22
Atlético San Luis
3 - 0
Querétaro
1
1.7
Toluca
1 - 0
Tijuana
0.4
1.28
Puebla
2 - 3
Pumas UNAM
2.28
xG
Sun, Feb 8
xG
1
América
1 - 0
Monterrey
0.1
1.56
Pachuca
2 - 0
Juárez
1.43
0.97
Atlas
2 - 2
Pumas UNAM
1.45
xG
Sat, Feb 7
xG
2.1
Toluca
1 - 1
Cruz Azul
0.99
2.38
Querétaro
2 - 0
León
1.55
0.5
Mazatlán
1 - 2
Guadalajara
1.99
0.39
Tijuana
0 - 0
Puebla
1
3.04
Tigres UANL
5 - 1
Santos Laguna
1.11
1.67
Necaxa
4 - 1
Atlético San Luis
1.4
xG
Sun, Feb 1
xG
0.26
Querétaro
0 - 0
Pachuca
0.84
1.36
León
1 - 2
Tigres UANL
1.25
1.32
Monterrey
2 - 2
Tijuana
1.89
xG
Sat, Jan 31
xG
1.01
Atlas
1 - 0
Mazatlán
0.62
2.49
Juárez
3 - 4
Cruz Azul
1.69
0.44
Pumas UNAM
4 - 0
Santos Laguna
0.83
0.17
Puebla
0 - 0
Toluca
2.5
xG
Mon, Jan 19
xG
0.41
Pachuca
0 - 0
América
0.64
xG
Sun, Jan 18
xG
2.34
Santos Laguna
2 - 2
Juárez
1.56
1.03
Pumas UNAM
1 - 1
León
1.05
0.74
Tijuana
1 - 1
Atlético San Luis
0.7
2.02
Cruz Azul
1 - 0
Puebla
0.24
0.32
Tigres UANL
0 - 0
Toluca
0.67
xG
Sat, Jan 17
xG
2.7
Guadalajara
2 - 1
Querétaro
0.89
0.78
Necaxa
0 - 1
Atlas
0.89

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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 67.84 expected goals from 31 games (2.19/90). With 61 goals scored, they are underperforming by 6.8.

Who has the best defence?

América have the tightest defence by xGA, conceding just 21.05 expected goals (0.78/90). Their actual goals conceded stands at 28.

Biggest overperformer

Juárez are the biggest overperformers in Liga MX, scoring 42 goals from an xG of just 30.65 — a difference of +11.4. 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 23 from an xG of 32.58 (diff: -9.6). 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: 2026-03-03 17:36:42