| ca_0178竹 vs Paul | 20–11 | 64.52% |
| ca_0178竹 vs Dragunov | 10–14 | 41.67% |
| ca_0178竹 vs Reina | 13–11 | 54.17% |
| ca_0178竹 vs Hwoarang | 9–11 | 45.00% |
| ca_0178竹 vs Jun | 10–10 | 50.00% |
| ca_0178竹 vs Asuka | 8–11 | 42.11% |
| ca_0178竹 vs Jin | 5–13 | 27.78% |
| ca_0178竹 vs Kazuya | 10–8 | 55.56% |
| ca_0178竹 vs Clive | 10–7 | 58.82% |
| ca_0178竹 vs King | 6–10 | 37.50% |
| ca_0178竹 vs Yoshimitsu | 11–5 | 68.75% |
| ca_0178竹 vs Law | 9–5 | 64.29% |
| ca_0178竹 vs Alisa | 8–4 | 66.67% |
| ca_0178竹 vs Heihachi | 9–3 | 75.00% |
| ca_0178竹 vs Xiaoyu | 6–5 | 54.55% |
| ca_0178竹 vs Steve | 2–9 | 18.18% |
| ca_0178竹 vs Lili | 4–7 | 36.36% |
| ca_0178竹 vs Claudio | 5–5 | 50.00% |
| ca_0178竹 vs Victor | 7–3 | 70.00% |
| ca_0178竹 vs Lars | 5–4 | 55.56% |
| ca_0178竹 vs Lee | 5–4 | 55.56% |
| ca_0178竹 vs Bryan | 5–3 | 62.50% |
| ca_0178竹 vs Devil Jin | 3–5 | 37.50% |
| ca_0178竹 vs Azucena | 5–3 | 62.50% |
| ca_0178竹 vs Kuma | 3–4 | 42.86% |
| ca_0178竹 vs Jack-8 | 2–3 | 40.00% |
| ca_0178竹 vs Shaheen | 2–3 | 40.00% |
| ca_0178竹 vs Lidia | 1–4 | 20.00% |
| ca_0178竹 vs Nina | 3–1 | 75.00% |
| ca_0178竹 vs Panda | 2–1 | 66.67% |
| ca_0178竹 vs Leroy | 3–0 | 100.00% |
| ca_0178竹 vs Raven | 1–2 | 33.33% |
| ca_0178竹 vs Feng | 1–0 | 100.00% |
| ca_0178竹 vs Leo | 1–0 | 100.00% |
| ca_0178竹 vs Zafina | 1–0 | 100.00% |
| ca_0178竹 vs Eddy | 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.