T95_FV4201 vs Reina | 35–12 | 74.47% |
T95_FV4201 vs Kazuya | 12–19 | 38.71% |
T95_FV4201 vs Steve | 16–13 | 55.17% |
T95_FV4201 vs Dragunov | 14–11 | 56.00% |
T95_FV4201 vs Lidia | 15–9 | 62.50% |
T95_FV4201 vs Jin | 13–10 | 56.52% |
T95_FV4201 vs Jun | 11–9 | 55.00% |
T95_FV4201 vs Hwoarang | 13–6 | 68.42% |
T95_FV4201 vs Yoshimitsu | 7–9 | 43.75% |
T95_FV4201 vs Lili | 10–6 | 62.50% |
T95_FV4201 vs Azucena | 9–7 | 56.25% |
T95_FV4201 vs Asuka | 7–7 | 50.00% |
T95_FV4201 vs King | 6–7 | 46.15% |
T95_FV4201 vs Victor | 5–6 | 45.45% |
T95_FV4201 vs Law | 8–2 | 80.00% |
T95_FV4201 vs Lars | 2–8 | 20.00% |
T95_FV4201 vs Bryan | 5–4 | 55.56% |
T95_FV4201 vs Feng | 8–1 | 88.89% |
T95_FV4201 vs Shaheen | 5–4 | 55.56% |
T95_FV4201 vs Nina | 6–3 | 66.67% |
T95_FV4201 vs Raven | 5–4 | 55.56% |
T95_FV4201 vs Eddy | 2–7 | 22.22% |
T95_FV4201 vs Xiaoyu | 5–2 | 71.43% |
T95_FV4201 vs Alisa | 6–1 | 85.71% |
T95_FV4201 vs Claudio | 6–1 | 85.71% |
T95_FV4201 vs Kuma | 2–4 | 33.33% |
T95_FV4201 vs Paul | 3–2 | 60.00% |
T95_FV4201 vs Devil Jin | 3–2 | 60.00% |
T95_FV4201 vs Lee | 5–0 | 100.00% |
T95_FV4201 vs Heihachi | 3–2 | 60.00% |
T95_FV4201 vs Panda | 2–0 | 100.00% |
T95_FV4201 vs Zafina | 0–2 | 0.00% |
T95_FV4201 vs Leroy | 1–1 | 50.00% |
T95_FV4201 vs Clive | 2–0 | 100.00% |
T95_FV4201 vs Jack-8 | 0–1 | 0.00% |
T95_FV4201 vs Leo | 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.