| PikaSkitty vs King | 10–21 | 32.26% |
| PikaSkitty vs Clive | 12–17 | 41.38% |
| PikaSkitty vs Jin | 6–20 | 23.08% |
| PikaSkitty vs Law | 5–20 | 20.00% |
| PikaSkitty vs Steve | 9–16 | 36.00% |
| PikaSkitty vs Reina | 12–12 | 50.00% |
| PikaSkitty vs Hwoarang | 10–13 | 43.48% |
| PikaSkitty vs Eddy | 5–17 | 22.73% |
| PikaSkitty vs Yoshimitsu | 10–11 | 47.62% |
| PikaSkitty vs Lars | 6–10 | 37.50% |
| PikaSkitty vs Bryan | 5–7 | 41.67% |
| PikaSkitty vs Kazuya | 3–9 | 25.00% |
| PikaSkitty vs Heihachi | 7–4 | 63.64% |
| PikaSkitty vs Paul | 1–8 | 11.11% |
| PikaSkitty vs Dragunov | 4–5 | 44.44% |
| PikaSkitty vs Leroy | 5–4 | 55.56% |
| PikaSkitty vs Azucena | 4–5 | 44.44% |
| PikaSkitty vs Raven | 8–1 | 88.89% |
| PikaSkitty vs Lili | 5–3 | 62.50% |
| PikaSkitty vs Xiaoyu | 5–2 | 71.43% |
| PikaSkitty vs Asuka | 1–6 | 14.29% |
| PikaSkitty vs Alisa | 2–5 | 28.57% |
| PikaSkitty vs Zafina | 5–2 | 71.43% |
| PikaSkitty vs Lidia | 3–4 | 42.86% |
| PikaSkitty vs Nina | 3–3 | 50.00% |
| PikaSkitty vs Jun | 0–6 | 0.00% |
| PikaSkitty vs Armor King | 4–2 | 66.67% |
| PikaSkitty vs Devil Jin | 2–3 | 40.00% |
| PikaSkitty vs Leo | 1–4 | 20.00% |
| PikaSkitty vs Kuma | 4–1 | 80.00% |
| PikaSkitty vs Anna | 1–4 | 20.00% |
| PikaSkitty vs Claudio | 2–2 | 50.00% |
| PikaSkitty vs Lee | 2–2 | 50.00% |
| PikaSkitty vs Victor | 2–1 | 66.67% |
| PikaSkitty vs Jack-8 | 0–2 | 0.00% |
| PikaSkitty vs Feng | 2–0 | 100.00% |
| PikaSkitty vs Panda | 2–0 | 100.00% |
| PikaSkitty vs Fahkumram | 0–2 | 0.00% |
| PikaSkitty vs Miary Zo | 0–1 | 0.00% |
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.