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Ecuador

Liga Pro statistics and predictions

Season to date: 208 matches since 9 Apr 2026, last updated 22 Oct 2026.

Liga Pro in numbers

208matches
2.41goals / game
50%home wins
22%draws
29%away wins
50%both teams scored
46%over 2.5 goals

Analysis

208 matches have been played in the Liga Pro (Ecuador) since 9 Apr 2026, averaging 2.41 goals a game. That is lower-scoring than the average across our archive (3.06 goals a game).

Home sides won 103 (50%), 45 matches were drawn (22%) and away sides won 60 (29%). Home advantage here is stronger than usual. Both teams scored in 50% of matches, 46% went over 2.5 goals, 67% over 1.5, and 14 finished goalless.

Our team-strength model, refitted every night, rates the strongest attacks as Independiente del Valle (2.02), Universidad Catolica (1.31), Libertad (1.23), and the meanest defences as LDU de Quito (0.63), Macara (0.67), Independiente del Valle (0.76). 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 9 Apr 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
1Independiente del Valle25201462293361
2Macara2616284031950
3LDU de Quito26127729191043
4Aucas2612682825342
5Universidad Catolica27117943281540
6Libertad26124103529640
7Guayaquil City FC2610793435-137
8Emelec2798102633-735
9Barcelona SC258982825333
10Leones del Norte2696113032-233
11Mushuc Runa SC268993134-333
12Orense SC2686122937-830
13Deportivo Cuenca2686122134-1330
14Delfin SC2676132432-827
15Manta FC2665152039-1923
16Tecnico Universitario2671182240-1822

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.