| masse vs Jin | 29–29 | 50.00% |
| masse vs Steve | 28–27 | 50.91% |
| masse vs King | 25–29 | 46.30% |
| masse vs Armor King | 26–22 | 54.17% |
| masse vs Paul | 14–25 | 35.90% |
| masse vs Kazuya | 17–18 | 48.57% |
| masse vs Yoshimitsu | 9–16 | 36.00% |
| masse vs Bryan | 6–17 | 26.09% |
| masse vs Hwoarang | 11–11 | 50.00% |
| masse vs Heihachi | 10–11 | 47.62% |
| masse vs Miary Zo | 10–10 | 50.00% |
| masse vs Dragunov | 11–8 | 57.89% |
| masse vs Law | 7–11 | 38.89% |
| masse vs Fahkumram | 5–12 | 29.41% |
| masse vs Lili | 8–8 | 50.00% |
| masse vs Jun | 7–7 | 50.00% |
| masse vs Victor | 9–5 | 64.29% |
| masse vs Eddy | 6–7 | 46.15% |
| masse vs Lidia | 3–10 | 23.08% |
| masse vs Nina | 7–5 | 58.33% |
| masse vs Azucena | 5–5 | 50.00% |
| masse vs Feng | 6–3 | 66.67% |
| masse vs Raven | 4–5 | 44.44% |
| masse vs Lars | 2–6 | 25.00% |
| masse vs Clive | 4–4 | 50.00% |
| masse vs Lee | 2–5 | 28.57% |
| masse vs Xiaoyu | 3–3 | 50.00% |
| masse vs Devil Jin | 4–2 | 66.67% |
| masse vs Leo | 4–2 | 66.67% |
| masse vs Alisa | 4–2 | 66.67% |
| masse vs Anna | 4–2 | 66.67% |
| masse vs Claudio | 3–2 | 60.00% |
| masse vs Jack-8 | 3–1 | 75.00% |
| masse vs Asuka | 1–3 | 25.00% |
| masse vs Zafina | 3–1 | 75.00% |
| masse vs Reina | 1–3 | 25.00% |
| masse vs Panda | 2–0 | 100.00% |
| masse vs Kuma | 0–1 | 0.00% |
| masse vs Leroy | 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.