| PercReceipts350 vs Hwoarang | 21–5 | 80.77% |
| PercReceipts350 vs Law | 16–9 | 64.00% |
| PercReceipts350 vs King | 13–10 | 56.52% |
| PercReceipts350 vs Kazuya | 14–6 | 70.00% |
| PercReceipts350 vs Bryan | 7–11 | 38.89% |
| PercReceipts350 vs Lidia | 12–6 | 66.67% |
| PercReceipts350 vs Jun | 11–6 | 64.71% |
| PercReceipts350 vs Heihachi | 6–11 | 35.29% |
| PercReceipts350 vs Jin | 11–4 | 73.33% |
| PercReceipts350 vs Victor | 5–10 | 33.33% |
| PercReceipts350 vs Paul | 4–9 | 30.77% |
| PercReceipts350 vs Reina | 8–5 | 61.54% |
| PercReceipts350 vs Yoshimitsu | 7–5 | 58.33% |
| PercReceipts350 vs Lili | 8–4 | 66.67% |
| PercReceipts350 vs Steve | 6–4 | 60.00% |
| PercReceipts350 vs Lars | 5–5 | 50.00% |
| PercReceipts350 vs Eddy | 4–6 | 40.00% |
| PercReceipts350 vs Xiaoyu | 7–2 | 77.78% |
| PercReceipts350 vs Asuka | 6–3 | 66.67% |
| PercReceipts350 vs Leroy | 7–1 | 87.50% |
| PercReceipts350 vs Jack-8 | 4–3 | 57.14% |
| PercReceipts350 vs Feng | 6–1 | 85.71% |
| PercReceipts350 vs Lee | 3–4 | 42.86% |
| PercReceipts350 vs Azucena | 7–0 | 100.00% |
| PercReceipts350 vs Clive | 5–2 | 71.43% |
| PercReceipts350 vs Nina | 2–4 | 33.33% |
| PercReceipts350 vs Dragunov | 5–0 | 100.00% |
| PercReceipts350 vs Devil Jin | 3–1 | 75.00% |
| PercReceipts350 vs Alisa | 1–2 | 33.33% |
| PercReceipts350 vs Panda | 3–0 | 100.00% |
| PercReceipts350 vs Raven | 2–1 | 66.67% |
| PercReceipts350 vs Anna | 2–1 | 66.67% |
| PercReceipts350 vs Leo | 0–2 | 0.00% |
| PercReceipts350 vs Claudio | 1–0 | 100.00% |
| PercReceipts350 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.