| TTV/ManuXiaoyu vs King | 13–1 | 92.86% |
| TTV/ManuXiaoyu vs Jin | 13–0 | 100.00% |
| TTV/ManuXiaoyu vs Steve | 10–3 | 76.92% |
| TTV/ManuXiaoyu vs Kazuya | 12–0 | 100.00% |
| TTV/ManuXiaoyu vs Heihachi | 7–5 | 58.33% |
| TTV/ManuXiaoyu vs Law | 11–0 | 100.00% |
| TTV/ManuXiaoyu vs Bryan | 6–3 | 66.67% |
| TTV/ManuXiaoyu vs Feng | 7–2 | 77.78% |
| TTV/ManuXiaoyu vs Zafina | 4–4 | 50.00% |
| TTV/ManuXiaoyu vs Anna | 5–3 | 62.50% |
| TTV/ManuXiaoyu vs Paul | 6–1 | 85.71% |
| TTV/ManuXiaoyu vs Yoshimitsu | 5–2 | 71.43% |
| TTV/ManuXiaoyu vs Leo | 6–1 | 85.71% |
| TTV/ManuXiaoyu vs Hwoarang | 6–0 | 100.00% |
| TTV/ManuXiaoyu vs Xiaoyu | 6–0 | 100.00% |
| TTV/ManuXiaoyu vs Leroy | 6–0 | 100.00% |
| TTV/ManuXiaoyu vs Dragunov | 5–0 | 100.00% |
| TTV/ManuXiaoyu vs Lee | 5–0 | 100.00% |
| TTV/ManuXiaoyu vs Jun | 5–0 | 100.00% |
| TTV/ManuXiaoyu vs Azucena | 5–0 | 100.00% |
| TTV/ManuXiaoyu vs Devil Jin | 4–0 | 100.00% |
| TTV/ManuXiaoyu vs Nina | 4–0 | 100.00% |
| TTV/ManuXiaoyu vs Lars | 3–0 | 100.00% |
| TTV/ManuXiaoyu vs Reina | 3–0 | 100.00% |
| TTV/ManuXiaoyu vs Eddy | 2–1 | 66.67% |
| TTV/ManuXiaoyu vs Asuka | 0–2 | 0.00% |
| TTV/ManuXiaoyu vs Alisa | 2–0 | 100.00% |
| TTV/ManuXiaoyu vs Claudio | 2–0 | 100.00% |
| TTV/ManuXiaoyu vs Raven | 1–1 | 50.00% |
| TTV/ManuXiaoyu vs Clive | 2–0 | 100.00% |
| TTV/ManuXiaoyu vs Fahkumram | 2–0 | 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.