| i2rNii vs Jin | 13–20 | 39.39% |
| i2rNii vs King | 11–20 | 35.48% |
| i2rNii vs Law | 11–13 | 45.83% |
| i2rNii vs Kazuya | 7–14 | 33.33% |
| i2rNii vs Nina | 9–11 | 45.00% |
| i2rNii vs Steve | 8–10 | 44.44% |
| i2rNii vs Devil Jin | 12–5 | 70.59% |
| i2rNii vs Armor King | 11–6 | 64.71% |
| i2rNii vs Lili | 9–6 | 60.00% |
| i2rNii vs Miary Zo | 10–5 | 66.67% |
| i2rNii vs Bryan | 6–5 | 54.55% |
| i2rNii vs Reina | 8–3 | 72.73% |
| i2rNii vs Asuka | 2–7 | 22.22% |
| i2rNii vs Alisa | 4–5 | 44.44% |
| i2rNii vs Claudio | 5–4 | 55.56% |
| i2rNii vs Jack-8 | 2–6 | 25.00% |
| i2rNii vs Lars | 1–7 | 12.50% |
| i2rNii vs Victor | 3–5 | 37.50% |
| i2rNii vs Clive | 3–4 | 42.86% |
| i2rNii vs Fahkumram | 4–3 | 57.14% |
| i2rNii vs Yoshimitsu | 4–2 | 66.67% |
| i2rNii vs Hwoarang | 2–4 | 33.33% |
| i2rNii vs Zafina | 1–5 | 16.67% |
| i2rNii vs Heihachi | 3–3 | 50.00% |
| i2rNii vs Dragunov | 2–3 | 40.00% |
| i2rNii vs Leroy | 3–2 | 60.00% |
| i2rNii vs Lee | 3–1 | 75.00% |
| i2rNii vs Azucena | 2–2 | 50.00% |
| i2rNii vs Lidia | 3–1 | 75.00% |
| i2rNii vs Paul | 1–2 | 33.33% |
| i2rNii vs Leo | 1–2 | 33.33% |
| i2rNii vs Shaheen | 1–2 | 33.33% |
| i2rNii vs Xiaoyu | 2–0 | 100.00% |
| i2rNii vs Jun | 2–0 | 100.00% |
| i2rNii vs Eddy | 0–2 | 0.00% |
| i2rNii vs Feng | 1–0 | 100.00% |
| i2rNii vs Anna | 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.