| F1 McLAREN vs Reina | 20–31 | 39.22% |
| F1 McLAREN vs Paul | 20–30 | 40.00% |
| F1 McLAREN vs Dragunov | 20–30 | 40.00% |
| F1 McLAREN vs Lili | 16–30 | 34.78% |
| F1 McLAREN vs Hwoarang | 19–22 | 46.34% |
| F1 McLAREN vs Victor | 20–21 | 48.78% |
| F1 McLAREN vs Steve | 22–15 | 59.46% |
| F1 McLAREN vs Jin | 12–24 | 33.33% |
| F1 McLAREN vs King | 13–22 | 37.14% |
| F1 McLAREN vs Asuka | 22–12 | 64.71% |
| F1 McLAREN vs Kazuya | 14–19 | 42.42% |
| F1 McLAREN vs Azucena | 18–14 | 56.25% |
| F1 McLAREN vs Bryan | 15–16 | 48.39% |
| F1 McLAREN vs Jun | 14–16 | 46.67% |
| F1 McLAREN vs Law | 11–15 | 42.31% |
| F1 McLAREN vs Devil Jin | 6–17 | 26.09% |
| F1 McLAREN vs Alisa | 7–13 | 35.00% |
| F1 McLAREN vs Feng | 7–12 | 36.84% |
| F1 McLAREN vs Eddy | 10–9 | 52.63% |
| F1 McLAREN vs Yoshimitsu | 5–13 | 27.78% |
| F1 McLAREN vs Nina | 9–8 | 52.94% |
| F1 McLAREN vs Claudio | 6–9 | 40.00% |
| F1 McLAREN vs Lars | 8–6 | 57.14% |
| F1 McLAREN vs Leroy | 7–7 | 50.00% |
| F1 McLAREN vs Xiaoyu | 8–4 | 66.67% |
| F1 McLAREN vs Leo | 3–9 | 25.00% |
| F1 McLAREN vs Lee | 2–8 | 20.00% |
| F1 McLAREN vs Panda | 1–8–1 | 11.11% |
| F1 McLAREN vs Kuma | 4–4 | 50.00% |
| F1 McLAREN vs Jack-8 | 4–2 | 66.67% |
| F1 McLAREN vs Zafina | 0–5 | 0.00% |
| F1 McLAREN vs Raven | 3–0 | 100.00% |
| F1 McLAREN vs Shaheen | 1–1 | 50.00% |
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.