| pecatta vs Hwoarang | 158–180 | 46.75% |
| pecatta vs King | 140–153 | 47.78% |
| pecatta vs Kazuya | 160–114 | 58.39% |
| pecatta vs Asuka | 134–116 | 53.60% |
| pecatta vs Dragunov | 131–119 | 52.40% |
| pecatta vs Bryan | 107–141 | 43.15% |
| pecatta vs Paul | 113–130 | 46.50% |
| pecatta vs Reina | 140–103 | 57.61% |
| pecatta vs Jin | 101–106 | 48.79% |
| pecatta vs Law | 79–98 | 44.63% |
| pecatta vs Lili | 88–89 | 49.72% |
| pecatta vs Yoshimitsu | 77–94 | 45.03% |
| pecatta vs Steve | 70–83 | 45.75% |
| pecatta vs Jun | 76–74 | 50.67% |
| pecatta vs Lee | 71–75 | 48.63% |
| pecatta vs Xiaoyu | 66–73 | 47.48% |
| pecatta vs Lidia | 68–63 | 51.91% |
| pecatta vs Leo | 59–64 | 47.97% |
| pecatta vs Nina | 56–67 | 45.53% |
| pecatta vs Feng | 52–67 | 43.70% |
| pecatta vs Heihachi | 64–55 | 53.78% |
| pecatta vs Azucena | 63–54 | 53.85% |
| pecatta vs Victor | 50–63 | 44.25% |
| pecatta vs Claudio | 48–60 | 44.44% |
| pecatta vs Alisa | 49–57 | 46.23% |
| pecatta vs Leroy | 59–45 | 56.73% |
| pecatta vs Lars | 38–57 | 40.00% |
| pecatta vs Raven | 38–55 | 40.86% |
| pecatta vs Jack-8 | 41–51 | 44.57% |
| pecatta vs Eddy | 40–51 | 43.96% |
| pecatta vs Devil Jin | 37–53 | 41.11% |
| pecatta vs Clive | 33–51 | 39.29% |
| pecatta vs Fahkumram | 37–43 | 46.25% |
| pecatta vs Anna | 27–43 | 38.57% |
| pecatta vs Shaheen | 27–34 | 44.26% |
| pecatta vs Zafina | 23–25 | 47.92% |
| pecatta vs Kuma | 15–26 | 36.59% |
| pecatta vs Miary Zo | 22–19 | 53.66% |
| pecatta vs Armor King | 10–19 | 34.48% |
| pecatta vs Panda | 7–13 | 35.00% |
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.