| iPranoia vs Jin | 24–23 | 51.06% |
| iPranoia vs Heihachi | 15–27 | 35.71% |
| iPranoia vs Kazuya | 21–20 | 51.22% |
| iPranoia vs Devil Jin | 12–15 | 44.44% |
| iPranoia vs King | 12–14 | 46.15% |
| iPranoia vs Dragunov | 11–10 | 52.38% |
| iPranoia vs Steve | 14–6 | 70.00% |
| iPranoia vs Hwoarang | 10–9 | 52.63% |
| iPranoia vs Bryan | 7–12 | 36.84% |
| iPranoia vs Azucena | 10–9 | 52.63% |
| iPranoia vs Reina | 14–3 | 82.35% |
| iPranoia vs Lidia | 5–9 | 35.71% |
| iPranoia vs Law | 5–7 | 41.67% |
| iPranoia vs Asuka | 10–2 | 83.33% |
| iPranoia vs Feng | 6–6 | 50.00% |
| iPranoia vs Eddy | 6–6 | 50.00% |
| iPranoia vs Lee | 2–7 | 22.22% |
| iPranoia vs Yoshimitsu | 5–3 | 62.50% |
| iPranoia vs Lili | 4–4 | 50.00% |
| iPranoia vs Raven | 2–6 | 25.00% |
| iPranoia vs Paul | 2–5 | 28.57% |
| iPranoia vs Jack-8 | 3–4 | 42.86% |
| iPranoia vs Alisa | 2–5 | 28.57% |
| iPranoia vs Victor | 3–4 | 42.86% |
| iPranoia vs Lars | 3–3 | 50.00% |
| iPranoia vs Nina | 3–3 | 50.00% |
| iPranoia vs Leo | 4–0 | 100.00% |
| iPranoia vs Anna | 4–0 | 100.00% |
| iPranoia vs Xiaoyu | 3–0 | 100.00% |
| iPranoia vs Shaheen | 0–3 | 0.00% |
| iPranoia vs Leroy | 1–2 | 33.33% |
| iPranoia vs Claudio | 1–1 | 50.00% |
| iPranoia vs Kuma | 1–1 | 50.00% |
| iPranoia vs Zafina | 0–2 | 0.00% |
| iPranoia vs Clive | 0–2 | 0.00% |
| iPranoia vs Jun | 1–0 | 100.00% |
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.