| 120_ vs Kazuya | 29–24 | 54.72% |
| 120_ vs Reina | 24–12 | 66.67% |
| 120_ vs Paul | 16–16 | 50.00% |
| 120_ vs Bryan | 11–21 | 34.38% |
| 120_ vs Armor King | 20–12 | 62.50% |
| 120_ vs Lili | 12–15 | 44.44% |
| 120_ vs Dragunov | 17–10 | 62.96% |
| 120_ vs Hwoarang | 12–11 | 52.17% |
| 120_ vs Steve | 17–5 | 77.27% |
| 120_ vs King | 11–9 | 55.00% |
| 120_ vs Jin | 11–9 | 55.00% |
| 120_ vs Nina | 7–13 | 35.00% |
| 120_ vs Alisa | 10–8 | 55.56% |
| 120_ vs Asuka | 9–8 | 52.94% |
| 120_ vs Lee | 12–4 | 75.00% |
| 120_ vs Azucena | 12–4 | 75.00% |
| 120_ vs Law | 6–9 | 40.00% |
| 120_ vs Yoshimitsu | 4–10 | 28.57% |
| 120_ vs Feng | 5–9 | 35.71% |
| 120_ vs Xiaoyu | 8–5 | 61.54% |
| 120_ vs Devil Jin | 5–7 | 41.67% |
| 120_ vs Leo | 6–4 | 60.00% |
| 120_ vs Zafina | 5–5 | 50.00% |
| 120_ vs Claudio | 7–2 | 77.78% |
| 120_ vs Jack-8 | 2–6 | 25.00% |
| 120_ vs Victor | 4–4 | 50.00% |
| 120_ vs Eddy | 7–1 | 87.50% |
| 120_ vs Lidia | 3–5 | 37.50% |
| 120_ vs Lars | 1–6 | 14.29% |
| 120_ vs Raven | 4–3 | 57.14% |
| 120_ vs Heihachi | 2–4 | 33.33% |
| 120_ vs Fahkumram | 2–4 | 33.33% |
| 120_ vs Miary Zo | 4–2 | 66.67% |
| 120_ vs Jun | 2–3 | 40.00% |
| 120_ vs Leroy | 0–4 | 0.00% |
| 120_ vs Clive | 2–1 | 66.67% |
| 120_ vs Anna | 2–1 | 66.67% |
| 120_ vs Shaheen | 0–2 | 0.00% |
| 120_ vs Kuma | 0–1 | 0.00% |
| 120_ vs Panda | 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.