IiiIiiiIIIiiiIi vs Dragunov | 37–31 | 54.41% |
IiiIiiiIIIiiiIi vs Reina | 25–29 | 46.30% |
IiiIiiiIIIiiiIi vs Hwoarang | 19–26 | 42.22% |
IiiIiiiIIIiiiIi vs Paul | 11–23 | 32.35% |
IiiIiiiIIIiiiIi vs King | 18–15 | 54.55% |
IiiIiiiIIIiiiIi vs Kazuya | 15–18 | 45.45% |
IiiIiiiIIIiiiIi vs Azucena | 9–21 | 30.00% |
IiiIiiiIIIiiiIi vs Lili | 15–14 | 51.72% |
IiiIiiiIIIiiiIi vs Jin | 13–15 | 46.43% |
IiiIiiiIIIiiiIi vs Bryan | 12–15 | 44.44% |
IiiIiiiIIIiiiIi vs Alisa | 13–13 | 50.00% |
IiiIiiiIIIiiiIi vs Steve | 13–10 | 56.52% |
IiiIiiiIIIiiiIi vs Devil Jin | 5–16 | 23.81% |
IiiIiiiIIIiiiIi vs Yoshimitsu | 6–14 | 30.00% |
IiiIiiiIIIiiiIi vs Asuka | 7–12 | 36.84% |
IiiIiiiIIIiiiIi vs Xiaoyu | 10–7 | 58.82% |
IiiIiiiIIIiiiIi vs Lee | 4–13 | 23.53% |
IiiIiiiIIIiiiIi vs Jun | 10–7 | 58.82% |
IiiIiiiIIIiiiIi vs Leo | 7–9 | 43.75% |
IiiIiiiIIIiiiIi vs Leroy | 5–9 | 35.71% |
IiiIiiiIIIiiiIi vs Law | 3–8 | 27.27% |
IiiIiiiIIIiiiIi vs Kuma | 6–5 | 54.55% |
IiiIiiiIIIiiiIi vs Victor | 3–8 | 27.27% |
IiiIiiiIIIiiiIi vs Lars | 4–5 | 44.44% |
IiiIiiiIIIiiiIi vs Nina | 3–6 | 33.33% |
IiiIiiiIIIiiiIi vs Claudio | 4–3 | 57.14% |
IiiIiiiIIIiiiIi vs Feng | 2–4 | 33.33% |
IiiIiiiIIIiiiIi vs Jack-8 | 0–5 | 0.00% |
IiiIiiiIIIiiiIi vs Raven | 2–2 | 50.00% |
IiiIiiiIIIiiiIi vs Eddy | 1–2 | 33.33% |
IiiIiiiIIIiiiIi vs Shaheen | 0–2 | 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.