| typix0l vs Jin | 27–31 | 46.55% |
| typix0l vs Reina | 26–26 | 50.00% |
| typix0l vs Kazuya | 20–23 | 46.51% |
| typix0l vs Steve | 26–15 | 63.41% |
| typix0l vs King | 23–15 | 60.53% |
| typix0l vs Bryan | 24–13 | 64.86% |
| typix0l vs Law | 18–15 | 54.55% |
| typix0l vs Lili | 14–18 | 43.75% |
| typix0l vs Dragunov | 19–13 | 59.38% |
| typix0l vs Hwoarang | 19–12 | 61.29% |
| typix0l vs Yoshimitsu | 17–11 | 60.71% |
| typix0l vs Heihachi | 10–15 | 40.00% |
| typix0l vs Paul | 11–13 | 45.83% |
| typix0l vs Lars | 13–11 | 54.17% |
| typix0l vs Lee | 14–10 | 58.33% |
| typix0l vs Asuka | 16–5 | 76.19% |
| typix0l vs Jun | 8–12 | 40.00% |
| typix0l vs Xiaoyu | 12–6–1 | 66.67% |
| typix0l vs Devil Jin | 13–6 | 68.42% |
| typix0l vs Lidia | 11–7 | 61.11% |
| typix0l vs Jack-8 | 5–12 | 29.41% |
| typix0l vs Alisa | 8–6 | 57.14% |
| typix0l vs Kuma | 5–9 | 35.71% |
| typix0l vs Victor | 8–3 | 72.73% |
| typix0l vs Nina | 7–3 | 70.00% |
| typix0l vs Azucena | 6–4 | 60.00% |
| typix0l vs Eddy | 6–4 | 60.00% |
| typix0l vs Feng | 5–4 | 55.56% |
| typix0l vs Shaheen | 6–3 | 66.67% |
| typix0l vs Claudio | 4–3 | 57.14% |
| typix0l vs Panda | 2–4 | 33.33% |
| typix0l vs Leo | 0–5 | 0.00% |
| typix0l vs Zafina | 3–0 | 100.00% |
| typix0l vs Raven | 0–3 | 0.00% |
| typix0l vs Fahkumram | 1–1 | 50.00% |
| typix0l vs Leroy | 0–1 | 0.00% |
| typix0l vs Clive | 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.