| ぷ～1228 vs Fahkumram | 16–25 | 39.02% |
| ぷ～1228 vs King | 14–16 | 46.67% |
| ぷ～1228 vs Jin | 14–13 | 51.85% |
| ぷ～1228 vs Armor King | 12–12 | 50.00% |
| ぷ～1228 vs Dragunov | 8–15 | 34.78% |
| ぷ～1228 vs Hwoarang | 11–11 | 50.00% |
| ぷ～1228 vs Reina | 14–8 | 63.64% |
| ぷ～1228 vs Clive | 9–12 | 42.86% |
| ぷ～1228 vs Bryan | 7–12 | 36.84% |
| ぷ～1228 vs Kazuya | 5–14 | 26.32% |
| ぷ～1228 vs Jack-8 | 6–13 | 31.58% |
| ぷ～1228 vs Jun | 11–7 | 61.11% |
| ぷ～1228 vs Xiaoyu | 10–7 | 58.82% |
| ぷ～1228 vs Victor | 10–6 | 62.50% |
| ぷ～1228 vs Steve | 7–6 | 53.85% |
| ぷ～1228 vs Heihachi | 6–7 | 46.15% |
| ぷ～1228 vs Asuka | 9–3 | 75.00% |
| ぷ～1228 vs Paul | 6–5 | 54.55% |
| ぷ～1228 vs Law | 0–10 | 0.00% |
| ぷ～1228 vs Leo | 2–8 | 20.00% |
| ぷ～1228 vs Miary Zo | 7–3 | 70.00% |
| ぷ～1228 vs Lili | 7–2 | 77.78% |
| ぷ～1228 vs Lidia | 4–5 | 44.44% |
| ぷ～1228 vs Azucena | 2–6 | 25.00% |
| ぷ～1228 vs Yoshimitsu | 3–4 | 42.86% |
| ぷ～1228 vs Shaheen | 7–0 | 100.00% |
| ぷ～1228 vs Zafina | 2–5 | 28.57% |
| ぷ～1228 vs Devil Jin | 3–3 | 50.00% |
| ぷ～1228 vs Claudio | 0–6 | 0.00% |
| ぷ～1228 vs Nina | 2–4 | 33.33% |
| ぷ～1228 vs Anna | 4–2 | 66.67% |
| ぷ～1228 vs Feng | 4–1 | 80.00% |
| ぷ～1228 vs Leroy | 3–2 | 60.00% |
| ぷ～1228 vs Lee | 2–2 | 50.00% |
| ぷ～1228 vs Lars | 0–3 | 0.00% |
| ぷ～1228 vs Raven | 2–1 | 66.67% |
| ぷ～1228 vs Alisa | 0–2 | 0.00% |
| ぷ～1228 vs Eddy | 1–1 | 50.00% |
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.