	Team	Pts	P	W	D	L	GD
1	Alianza Lima	40	17	12	4	1	+22
2	Los Chankas CYC	34	17	10	4	3	+4
3	Cienciano	33	17	10	3	4	+12
4	Universitario	29	17	8	5	4	+9
5	Melgar	28	17	8	4	5	+9
6	Cusco FC	27	17	8	3	6	-3
7	Deportivo Garcilaso	26	17	7	5	5	+3
8	Alianza Atletico	21	17	5	6	6	+2
9	Comerciantes Unidos	21	17	5	6	6	-2
10	Asociacion Deportiva Tarma	20	17	5	5	7	+1
11	Sport Boys Association	20	17	5	5	7	-4
12	Sporting Cristal	19	17	5	4	8	-2
13	UTC Cajamarca	18	17	4	6	7	-5
14	CD Moquegua	18	17	5	3	9	-7
15	FC Cajamarca	17	17	4	5	8	-5
16	Atletico Grau	16	17	4	4	9	-6
17	Sport Huancayo	16	17	4	4	9	-10
18	Juan Pablo II College	16	17	4	4	9	-18
1	Alianza Lima	22	17	7	1	0	+18
2	Cienciano	22	17	7	1	1	+13
3	Los Chankas CYC	22	17	7	1	1	+8
4	Universitario	21	17	7	0	2	+9
5	Deportivo Garcilaso	20	17	6	2	1	+8
6	Melgar	19	17	6	1	2	+11
7	Cusco FC	17	17	5	2	1	+5
8	Sport Boys Association	16	17	4	4	1	+4
8	Comerciantes Unidos	16	17	4	4	1	+4
10	Sporting Cristal	14	17	4	2	2	+5
11	Asociacion Deportiva Tarma	14	17	4	2	3	+5
12	CD Moquegua	14	17	4	2	2	+4
13	Sport Huancayo	14	17	4	2	2	+3
14	Alianza Atletico	13	17	3	4	1	+6
15	FC Cajamarca	12	17	3	3	2	+3
16	Atletico Grau	11	17	3	2	3	+2
17	UTC Cajamarca	10	17	2	4	2	+1
18	Juan Pablo II College	9	17	2	3	4	-6
1	Alianza Lima	18	17	5	3	1	+4
2	Los Chankas CYC	12	17	3	3	2	-4
3	Cienciano	11	17	3	2	3	-1
4	Cusco FC	10	17	3	1	5	-8
5	Melgar	9	17	2	3	3	-2
6	Universitario	8	17	1	5	2	0
7	Alianza Atletico	8	17	2	2	5	-4
8	UTC Cajamarca	8	17	2	2	5	-6
9	Juan Pablo II College	7	17	2	1	5	-12
10	Asociacion Deportiva Tarma	6	17	1	3	4	-4
11	Deportivo Garcilaso	6	17	1	3	4	-5
12	Comerciantes Unidos	5	17	1	2	5	-6
13	Sporting Cristal	5	17	1	2	6	-7
14	FC Cajamarca	5	17	1	2	6	-8
15	Atletico Grau	5	17	1	2	6	-8
16	Sport Boys Association	4	17	1	1	6	-8
17	CD Moquegua	4	17	1	1	7	-11
18	Sport Huancayo	2	17	0	2	7	-13
1	Deportivo Garcilaso	16	6	5	1	0	+8
2	Alianza Lima	14	6	4	2	0	+6
3	Melgar	11	6	3	2	1	+6
4	FC Cajamarca	11	6	3	2	1	+3
5	Cienciano	11	6	3	2	1	+2
6	Cusco FC	11	6	3	2	1	+2
7	Asociacion Deportiva Tarma	10	6	3	1	2	+5
8	Alianza Atletico	10	6	3	1	2	+3
9	Sport Boys Association	9	6	2	3	1	+1
10	Universitario	8	6	2	2	2	+2
11	Atletico Grau	6	6	2	0	4	-2
12	CD Moquegua	5	6	1	2	3	-2
13	Sporting Cristal	5	6	1	2	3	-3
14	Comerciantes Unidos	5	6	1	2	3	-3
15	Los Chankas CYC	5	6	1	2	3	-7
16	Sport Huancayo	4	6	1	1	4	-7
17	UTC Cajamarca	3	6	0	3	3	-5
18	Juan Pablo II College	2	6	0	2	4	-9

Legend

Playoffs

Liga 1 Perú Statistics

Matches

Number of matches played 153

% home win 53.59%

% away win 20.26%

% halftime draws 26.14%

% halftime home wins 34.64%

% halftime away wins 19.61%

% halftime draws 45.75%

Goals

Goals 403

Average goals per match 2.63

Average home goals per match 1.65

Average away goals per match 0.98

Sports Betting

% matches over 2.5 goals 51.63%

% matches under 2.5 goals 48.37%

BTTS 56.86%

Cleansheet 43.14%

Discipline

Yellow cards 661

Average yellow cards per match 4.32

Red cards 61

Average red cards per match 0.4

Key stats

Corners 1285

Average corners per match 8.4

The Peru Liga 1, or Primera Division, is one of the oldest leagues in CONMEBOL, founded back in 1912. The league boasts a healthy representation of 18 teams, who also compete in the domestic Copa de la Liga Peruana each season. Top teams can also qualify for the two major South American international club competitions the Copa Libertadores and Copa Sudamericana. Make your football predictions now with us SportyTrader!

The Liga 1 season in Peru is split into three parts. The Apertura, sees the teams play each other once (17 games). This is then followed by the Clausura, which sees the teams play the 17 reverse fixtures from the Apertura. The winners of the Apertura and Clausura qualify for the playoffs, as do the two teams with the best record in the aggregate table at the end of the season.

The playoffs see two two-legged semi-finals followed by a two-legged final. If the teams draw on aggregate in the final a third and final deciding match is played to decide the national champions, check the football livescores here. You can follow the entire season from start to finish on the Yesterday Liga 1 pages at SportyTrader, allowing you to keep up to date with teams such as Alianza Lima, Universitario and Melgar.

What were the results of yesterday’s Peru Liga 1 matches?

From the Apertura, through to the playoffs, you can find out the latest results from Liga 1 in Peru on the Yesterday pages. Logging into these pages will initially show you a list of the most recent matches played in the league, showing the result of each game. You can also scroll through the page to check out the current standings in the Apertura or Clausura, or playoffs too.

However, while knowing the results of the games is informative at a basic level, many fans and betting enthusiasts want more data. Specifically that which tells the story of the game.

Click on any fixture on the Yesterday Peru Liga 1 page and you will access a wealth of data about the game. This data is not only based on the statistical outcome of the match, such as corners, throw ins, percentage possession etc, but also on tactical details such as the team selections made, who scored the goals, which substitutions were made and which formations each team used.

By utilising the Yesterday pages alongside the Liga 1 Perú games live and tomorrow's Liga 1 Perú fixtures pages for Liga 1 Peru at SportyTrader, you can give yourself a complete overview of the entire season.

How is knowing yesterday's Peru Liga 1 results useful?

Why would you want to know more than just the merest data for the Peru Liga 1? Well, if you are a betting enthusiast, then there’s plenty of good reasons to check out this additional data.

With many data points for the league related directly to popular betting markets, such as Over/Under 2.5 Goals, Both Teams to Score, plus a wealth of information about the current form, past results and performances of both teams, it is a mine of information for any bettor researching their bets.

So yes, Peruvian football fans can find out the information they need on their team of choice, but bettors can also research their bets effectively using the data collected for each fixture.