| PiggyLmao vs Kazuya | 56–43 | 56.57% |
| PiggyLmao vs Reina | 53–33 | 61.63% |
| PiggyLmao vs Bryan | 52–32 | 61.90% |
| PiggyLmao vs Jin | 39–40 | 49.37% |
| PiggyLmao vs King | 36–41 | 46.75% |
| PiggyLmao vs Steve | 40–28 | 58.82% |
| PiggyLmao vs Heihachi | 32–22 | 59.26% |
| PiggyLmao vs Hwoarang | 32–21 | 60.38% |
| PiggyLmao vs Lee | 26–27 | 49.06% |
| PiggyLmao vs Dragunov | 32–19 | 62.75% |
| PiggyLmao vs Law | 20–29 | 40.82% |
| PiggyLmao vs Yoshimitsu | 20–28 | 41.67% |
| PiggyLmao vs Paul | 33–14 | 70.21% |
| PiggyLmao vs Xiaoyu | 19–25 | 43.18% |
| PiggyLmao vs Azucena | 23–13 | 63.89% |
| PiggyLmao vs Eddy | 17–18 | 48.57% |
| PiggyLmao vs Devil Jin | 16–18 | 47.06% |
| PiggyLmao vs Lars | 9–25 | 26.47% |
| PiggyLmao vs Leo | 15–18 | 45.45% |
| PiggyLmao vs Raven | 14–19 | 42.42% |
| PiggyLmao vs Clive | 19–14 | 57.58% |
| PiggyLmao vs Asuka | 16–15 | 51.61% |
| PiggyLmao vs Victor | 17–13 | 56.67% |
| PiggyLmao vs Lili | 10–15 | 40.00% |
| PiggyLmao vs Jun | 18–7 | 72.00% |
| PiggyLmao vs Feng | 11–11 | 50.00% |
| PiggyLmao vs Nina | 13–9 | 59.09% |
| PiggyLmao vs Leroy | 9–13 | 40.91% |
| PiggyLmao vs Armor King | 11–8 | 57.89% |
| PiggyLmao vs Jack-8 | 9–9 | 50.00% |
| PiggyLmao vs Shaheen | 6–11 | 35.29% |
| PiggyLmao vs Fahkumram | 13–4 | 76.47% |
| PiggyLmao vs Kuma | 6–10 | 37.50% |
| PiggyLmao vs Claudio | 7–8 | 46.67% |
| PiggyLmao vs Anna | 7–8 | 46.67% |
| PiggyLmao vs Zafina | 8–6 | 57.14% |
| PiggyLmao vs Lidia | 7–6 | 53.85% |
| PiggyLmao vs Alisa | 6–4 | 60.00% |
| PiggyLmao vs Miary Zo | 4–5 | 44.44% |
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.