| CoquitoPapi vs Kazuya | 17–14 | 54.84% |
| CoquitoPapi vs Jin | 16–9 | 64.00% |
| CoquitoPapi vs Steve | 16–8 | 66.67% |
| CoquitoPapi vs Azucena | 8–16 | 33.33% |
| CoquitoPapi vs Hwoarang | 13–10 | 56.52% |
| CoquitoPapi vs Reina | 16–3 | 84.21% |
| CoquitoPapi vs Lars | 10–8 | 55.56% |
| CoquitoPapi vs King | 8–6 | 57.14% |
| CoquitoPapi vs Dragunov | 10–4 | 71.43% |
| CoquitoPapi vs Leo | 10–4 | 71.43% |
| CoquitoPapi vs Raven | 7–7 | 50.00% |
| CoquitoPapi vs Fahkumram | 8–6 | 57.14% |
| CoquitoPapi vs Bryan | 7–5 | 58.33% |
| CoquitoPapi vs Heihachi | 9–2 | 81.82% |
| CoquitoPapi vs Law | 4–5 | 44.44% |
| CoquitoPapi vs Xiaoyu | 4–4 | 50.00% |
| CoquitoPapi vs Armor King | 5–3 | 62.50% |
| CoquitoPapi vs Yoshimitsu | 2–5 | 28.57% |
| CoquitoPapi vs Jun | 5–2 | 71.43% |
| CoquitoPapi vs Eddy | 4–3 | 57.14% |
| CoquitoPapi vs Victor | 1–5 | 16.67% |
| CoquitoPapi vs Lili | 4–1 | 80.00% |
| CoquitoPapi vs Alisa | 1–4 | 20.00% |
| CoquitoPapi vs Nina | 3–2 | 60.00% |
| CoquitoPapi vs Lee | 3–2 | 60.00% |
| CoquitoPapi vs Paul | 1–3 | 25.00% |
| CoquitoPapi vs Jack-8 | 2–1 | 66.67% |
| CoquitoPapi vs Asuka | 1–2 | 33.33% |
| CoquitoPapi vs Shaheen | 1–2 | 33.33% |
| CoquitoPapi vs Panda | 2–1 | 66.67% |
| CoquitoPapi vs Leroy | 1–2 | 33.33% |
| CoquitoPapi vs Clive | 1–2 | 33.33% |
| CoquitoPapi vs Anna | 1–2 | 33.33% |
| CoquitoPapi vs Devil Jin | 1–1 | 50.00% |
| CoquitoPapi vs Feng | 1–1 | 50.00% |
| CoquitoPapi vs Lidia | 2–0 | 100.00% |
| CoquitoPapi vs Miary Zo | 1–1 | 50.00% |
| CoquitoPapi vs Zafina | 1–0 | 100.00% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.