| TrassguLoKu vs Kazuya | 43–56 | 43.43% |
| TrassguLoKu vs Jin | 37–59 | 38.54% |
| TrassguLoKu vs Reina | 40–44 | 47.62% |
| TrassguLoKu vs Heihachi | 38–44 | 46.34% |
| TrassguLoKu vs King | 35–38 | 47.95% |
| TrassguLoKu vs Bryan | 33–34 | 49.25% |
| TrassguLoKu vs Steve | 27–34 | 44.26% |
| TrassguLoKu vs Hwoarang | 23–34 | 40.35% |
| TrassguLoKu vs Paul | 27–15 | 64.29% |
| TrassguLoKu vs Law | 21–20 | 51.22% |
| TrassguLoKu vs Jun | 20–18 | 52.63% |
| TrassguLoKu vs Eddy | 20–16 | 55.56% |
| TrassguLoKu vs Lidia | 18–17 | 51.43% |
| TrassguLoKu vs Lili | 13–17 | 43.33% |
| TrassguLoKu vs Azucena | 13–17 | 43.33% |
| TrassguLoKu vs Asuka | 14–15 | 48.28% |
| TrassguLoKu vs Victor | 15–14 | 51.72% |
| TrassguLoKu vs Yoshimitsu | 13–14 | 48.15% |
| TrassguLoKu vs Nina | 12–14 | 46.15% |
| TrassguLoKu vs Dragunov | 10–15 | 40.00% |
| TrassguLoKu vs Devil Jin | 10–12 | 45.45% |
| TrassguLoKu vs Lars | 15–6 | 71.43% |
| TrassguLoKu vs Xiaoyu | 11–8 | 57.89% |
| TrassguLoKu vs Jack-8 | 12–7 | 63.16% |
| TrassguLoKu vs Claudio | 6–13 | 31.58% |
| TrassguLoKu vs Alisa | 6–11 | 35.29% |
| TrassguLoKu vs Lee | 6–10 | 37.50% |
| TrassguLoKu vs Leroy | 7–9 | 43.75% |
| TrassguLoKu vs Leo | 11–4 | 73.33% |
| TrassguLoKu vs Feng | 6–6 | 50.00% |
| TrassguLoKu vs Kuma | 4–6 | 40.00% |
| TrassguLoKu vs Raven | 3–2 | 60.00% |
| TrassguLoKu vs Shaheen | 2–2 | 50.00% |
| TrassguLoKu vs Panda | 3–0 | 100.00% |
| TrassguLoKu vs Zafina | 1–2 | 33.33% |
| TrassguLoKu vs Clive | 1–2 | 33.33% |
| TrassguLoKu vs Anna | 3–0 | 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.