| TMoney10 vs Steve | 23–10 | 69.70% |
| TMoney10 vs King | 12–9 | 57.14% |
| TMoney10 vs Eddy | 6–8 | 42.86% |
| TMoney10 vs Hwoarang | 5–8 | 38.46% |
| TMoney10 vs Azucena | 5–8 | 38.46% |
| TMoney10 vs Jin | 5–7 | 41.67% |
| TMoney10 vs Kazuya | 3–9 | 25.00% |
| TMoney10 vs Yoshimitsu | 3–8 | 27.27% |
| TMoney10 vs Reina | 10–1 | 90.91% |
| TMoney10 vs Paul | 4–6 | 40.00% |
| TMoney10 vs Bryan | 2–8 | 20.00% |
| TMoney10 vs Clive | 9–1 | 90.00% |
| TMoney10 vs Nina | 5–3 | 62.50% |
| TMoney10 vs Law | 4–3 | 57.14% |
| TMoney10 vs Anna | 4–3 | 57.14% |
| TMoney10 vs Lili | 2–4 | 33.33% |
| TMoney10 vs Lars | 3–3 | 50.00% |
| TMoney10 vs Zafina | 2–4 | 33.33% |
| TMoney10 vs Jun | 1–5 | 16.67% |
| TMoney10 vs Heihachi | 0–6 | 0.00% |
| TMoney10 vs Miary Zo | 3–3 | 50.00% |
| TMoney10 vs Dragunov | 0–5 | 0.00% |
| TMoney10 vs Armor King | 1–4 | 20.00% |
| TMoney10 vs Xiaoyu | 1–3 | 25.00% |
| TMoney10 vs Devil Jin | 2–2 | 50.00% |
| TMoney10 vs Jack-8 | 1–2 | 33.33% |
| TMoney10 vs Asuka | 1–2 | 33.33% |
| TMoney10 vs Alisa | 0–3 | 0.00% |
| TMoney10 vs Lee | 2–1 | 66.67% |
| TMoney10 vs Lidia | 2–1 | 66.67% |
| TMoney10 vs Feng | 0–2 | 0.00% |
| TMoney10 vs Claudio | 2–0 | 100.00% |
| TMoney10 vs Shaheen | 2–0 | 100.00% |
| TMoney10 vs Leroy | 0–1 | 0.00% |
| TMoney10 vs Victor | 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.