Standard Stats Table Season Age Squad Comp LgRank MP Starts Min 90s Gls Ast G+A G-PK PK PKatt CrdY CrdR Gls Ast G+A G-PK G+A-PK Matches 2011 17 co Colombia 1. World Cup GR 2 1 125 1.4 0 0 0 0 0 0 0 0 0.00 0.00 0.00 0.00 0.00 Matches 2012 18 co Colombia 1. Olympics (W) GS 1 0 46 0.5 0 0 0 0 0 0 0.00 0.00 Matches 2015 21 co Colombia 1. World Cup R16 4 4 323 3.6 0 1 1 0 0 0 0 0 0.00 0.28 0.28 0.00 0.28 Matches 2018 24 co Colombia Copa América 4th 6 4 396 4.4 1 2 3 1 0 0 1 0 0.23 0.45 0.68 0.23 0.68 Matches 4 Seasons 1 Club 3 Leagues 13 9 890 9.9 1 3 4 1 0 0 1 0 0.10 0.32 0.43 0.10 0.43 World Cup (2 Seasons) 6 5 448 5.0 0 1 1 0 0 0 0 0 0.00 0.20 0.20 0.00 0.20 Copa América (1 Season) 6 4 396 4.4 1 2 3 1 0 0 1 0 0.23 0.45 0.68 0.23 0.68 Olympics (W) (1 Season) 1 0 46 0.5 0 0 0 0 0 0 0.00 0.00
Standard Stats Table Season Age Squad Country Comp LgRank MP Starts Min 90s Gls Ast G+A G-PK PK PKatt CrdY CrdR Gls Ast G+A G-PK G+A-PK Matches 2019 25 Iranduba br BRA 1. Série A1 10th 9 9 784 8.7 0 0 0 0 0 0 0.00 0.00 Matches 2019-2020 26 Internazionale it ITA 1. Serie A 7th 3 2 190 2.1 0 0 0 0 0 0 0.00 0.00 Matches 2020-2021 27 Internazionale it ITA 1. Serie A 8th 16 12 1,121 12.5 0 3 3 0 0 0 2 0 0.00 0.24 0.24 0.00 0.24 Matches 2021-2022 28 Sampdoria it ITA 1. Serie A 6th 19 18 1,415 15.7 4 8 12 3 1 1 1 0 0.25 0.51 0.76 0.19 0.70 Matches 2022-2023 29 Sampdoria it ITA 1. Serie A 8th 18 11 1,005 11.2 2 0 2 1 1 2 1 0 0.18 0.00 0.18 0.09 0.09 Matches 2025 31 Palmeiras br BRA 1. Série A1 4th 12 8 647 7.2 1 1 0 0 1 0 0.14 0.14 Matches 2026 32 Santos FC br BRA 1. Série A1 12th 8 7 475 5.3 0 0 0 0 0 0 0.00 0.00 Matches 6 Seasons 5 Clubs 2 Leagues 85 67 5,637 62.6 7 11 17 5 2 3 5 0 0.11 0.28 0.43 0.08 0.38 Country Comp LgRank MP Starts Min 90s Gls Ast G+A G-PK PK PKatt CrdY CrdR Gls Ast G+A G-PK G+A-PK Matches Sampdoria (2 Seasons) 1 League 37 29 2,420 26.9 6 8 14 4 2 3 2 0 0.22 0.30 0.52 0.15 0.45 Internazionale (2 Seasons) 1 League 19 14 1,311 14.6 0 3 3 0 0 0 2 0 0.00 0.24 0.24 0.00 0.24 Palmeiras (1 Season) 1 League 12 8 647 7.2 1 1 0 0 1 0 0.14 0.14 Iranduba (1 Season) 1 League 9 9 784 8.7 0 0 0 0 0 0 0.00 0.00 Santos FC (1 Season) 1 League 8 7 475 5.3 0 0 0 0 0 0 0.00 0.00 Serie A (4 Seasons) 56 43 3,731 41.5 6 11 17 4 2 3 4 0 0.14 0.28 0.43 0.10 0.38 Série A1 (3 Seasons) 29 24 1,906 21.2 1 1 0 0 1 0 0.05 0.05
Playing Time Table Season Age Squad Comp LgRank MP Min Mn/MP Min% 90s Starts Mn/Start Compl Subs Mn/Sub unSub PPM onG onGA +/- +/-90 On-Off Matches 2011 17 co Colombia 1. World Cup GR 2 125 63 46.3 1.4 1 1 1 1 0.00 0 2 -2 -1.44 -0.20 Matches 2012 18 co Colombia 1. Olympics (W) GS 1 46 46 17.0 0.5 0 1 0 0 0.00 0 0 0 0.00 +2.41 Matches 2015 21 co Colombia 1. World Cup R16 4 323 81 89.7 3.6 4 81 1 0 0 1.00 2 5 -3 -0.84 -5.70 Matches 2018 24 co Colombia Copa América 4th 6 396 66 62.9 4.4 4 79 0 2 40 1 1.33 11 5 +6 +1.36 +0.21 Matches 4 Seasons 1 Club 3 Leagues 13 890 68 58.2 9.9 9 86 2 4 27 2 0.92 13 12 +1 +0.10 +0.52 World Cup (2 Seasons) 6 448 75 71.1 5.0 5 81 2 1 1 0.67 2 7 -5 -1.00 -1.00 Copa América (1 Season) 6 396 66 62.9 4.4 4 79 0 2 40 1 1.33 11 5 +6 +1.36 +0.21 Olympics (W) (1 Season) 1 46 46 17.0 0.5 0 1 0 0 0.00 0 0 0 0.00 +2.41
Playing Time Table Season Age Squad Country Comp LgRank MP Min Mn/MP Min% 90s Starts Mn/Start Compl Subs Mn/Sub unSub PPM onG onGA +/- +/-90 On-Off Matches 2019 25 Iranduba br BRA 1. Série A1 10th 9 784 87 58.1 8.7 9 87 8 0 0 1.22 7 12 -5 -0.57 +0.22 Matches 2019-2020 26 Internazionale it ITA 1. Serie A 7th 3 190 63 13.2 2.1 2 79 1 1 33 0 0.33 2 6 -4 -1.89 -1.68 Matches 2020-2021 27 Internazionale it ITA 1. Serie A 8th 16 1,121 70 56.6 12.5 12 86 10 4 22 4 1.13 20 27 -7 -0.56 +0.38 Matches 2021-2022 28 Sampdoria it ITA 1. Serie A 6th 19 1,415 74 71.5 15.7 18 76 7 1 39 2 1.47 26 26 0 0.00 +1.91 Matches 2022-2023 29 Sampdoria it ITA 1. Serie A 8th 18 1,005 56 42.9 11.2 11 82 6 7 15 2 0.94 7 17 -10 -0.90 +0.25 Matches 2025 31 Palmeiras br BRA 1. Série A1 4th 12 647 54 47.9 7.2 8 71 8 4 21 3 1.60 27 17 +10 +1.39 +0.37 Matches 2026 32 Santos FC br BRA 1. Série A1 12th 8 475 59 48.0 5.3 7 67 1 1 8 0 1.25 7 5 +2 +0.38 +1.08 Matches 6 Seasons 5 Clubs 2 Leagues 85 5,637 66 49.3 62.6 67 79 41 18 20 11 1.22 96 110 -14 -0.22 +0.43 Country Comp LgRank MP Min Mn/MP Min% 90s Starts Mn/Start Compl Subs Mn/Sub unSub PPM onG onGA +/- +/-90 On-Off Matches Sampdoria (2 Seasons) 1 League 37 2,420 65 56.0 26.9 29 79 13 8 18 4 1.21 33 43 -10 -0.37 +1.00 Internazionale (2 Seasons) 1 League 19 1,311 69 38.3 14.6 14 85 11 5 24 4 1.00 22 33 -11 -0.76 -0.24 Palmeiras (1 Season) 1 League 12 647 54 47.9 7.2 8 71 8 4 21 3 1.60 27 17 +10 +1.39 +0.37 Iranduba (1 Season) 1 League 9 784 87 58.1 8.7 9 87 8 0 0 1.22 7 12 -5 -0.57 +0.22 Santos FC (1 Season) 1 League 8 475 59 48.0 5.3 7 67 1 1 8 0 1.25 7 5 +2 +0.38 +1.08 Serie A (4 Seasons) 56 3,731 67 48.2 41.5 43 81 24 13 20 8 1.14 55 76 -21 -0.51 +0.41 Série A1 (3 Seasons) 29 1,906 66 51.7 21.2 24 76 17 5 18 3 1.39 41 34 +7 +0.33 +0.38
About FBref.com
FBref.com launched (June 13, 2018) with domestic league coverage for England, France, Germany, Italy, Spain, and United States. Since then we have been steadily expanding our coverage to include domestic leagues from over 40 countries as well as domestic cup, super cup and youth leagues from top European countries. We have also added coverage for major international cups such as the UEFA Champions League and Copa Libertadores .
FBref is the most complete sources for women's football data on the internet. This includes the entire history of the FIFA Women's World Cup as well as recent domestic league seasons from nine countries.
View Additional Information
More Yoreli Rincón Pages
Yoreli Rincón Overview
Stats by Competition
Match Logs (Summary)
Goal Logs by Competition
Stathead & Player Comparison
We're Social...for Statheads
Site Last Updated: Thursday, June 4, 5:57AM
Question, Comment, Feedback, or Correction?
Subscribe to our Free Email Newsletter
Subscribe to Stathead FBref: Get your first month FREE
Your All-Access Ticket to the FBref Database
Do you have a sports website? Or write about sports? We have tools and resources that can help you use sports data. Find out more.