| GheTToTowne vs Bryan | 22–23 | 48.89% |
| GheTToTowne vs Reina | 21–21 | 50.00% |
| GheTToTowne vs Victor | 15–27 | 35.71% |
| GheTToTowne vs King | 23–17 | 57.50% |
| GheTToTowne vs Law | 21–18 | 53.85% |
| GheTToTowne vs Yoshimitsu | 23–16 | 58.97% |
| GheTToTowne vs Lars | 21–18 | 53.85% |
| GheTToTowne vs Jin | 15–19 | 44.12% |
| GheTToTowne vs Steve | 12–17 | 41.38% |
| GheTToTowne vs Kazuya | 18–10 | 64.29% |
| GheTToTowne vs Alisa | 12–16 | 42.86% |
| GheTToTowne vs Lee | 9–19 | 32.14% |
| GheTToTowne vs Hwoarang | 15–10 | 60.00% |
| GheTToTowne vs Eddy | 14–10 | 58.33% |
| GheTToTowne vs Leo | 11–12 | 47.83% |
| GheTToTowne vs Asuka | 11–11 | 50.00% |
| GheTToTowne vs Xiaoyu | 8–13 | 38.10% |
| GheTToTowne vs Jun | 12–9 | 57.14% |
| GheTToTowne vs Jack-8 | 9–11 | 45.00% |
| GheTToTowne vs Paul | 12–7 | 63.16% |
| GheTToTowne vs Shaheen | 8–11 | 42.11% |
| GheTToTowne vs Azucena | 11–7 | 61.11% |
| GheTToTowne vs Raven | 5–12 | 29.41% |
| GheTToTowne vs Nina | 10–6 | 62.50% |
| GheTToTowne vs Lili | 8–6 | 57.14% |
| GheTToTowne vs Dragunov | 9–5 | 64.29% |
| GheTToTowne vs Feng | 8–5 | 61.54% |
| GheTToTowne vs Leroy | 11–2 | 84.62% |
| GheTToTowne vs Claudio | 7–4 | 63.64% |
| GheTToTowne vs Zafina | 3–6 | 33.33% |
| GheTToTowne vs Devil Jin | 6–2 | 75.00% |
| GheTToTowne vs Kuma | 4–4 | 50.00% |
| GheTToTowne vs Panda | 2–2 | 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.