| iGNACiO vs Clive | 16–20 | 44.44% |
| iGNACiO vs Reina | 24–8 | 75.00% |
| iGNACiO vs Hwoarang | 17–10 | 62.96% |
| iGNACiO vs Jin | 12–15 | 44.44% |
| iGNACiO vs Dragunov | 15–12 | 55.56% |
| iGNACiO vs Eddy | 15–11 | 57.69% |
| iGNACiO vs King | 13–10 | 56.52% |
| iGNACiO vs Jun | 15–6 | 71.43% |
| iGNACiO vs Victor | 9–11 | 45.00% |
| iGNACiO vs Yoshimitsu | 12–7 | 63.16% |
| iGNACiO vs Kazuya | 8–8 | 50.00% |
| iGNACiO vs Asuka | 7–9 | 43.75% |
| iGNACiO vs Law | 10–5 | 66.67% |
| iGNACiO vs Bryan | 9–6 | 60.00% |
| iGNACiO vs Steve | 13–2 | 86.67% |
| iGNACiO vs Leo | 9–6 | 60.00% |
| iGNACiO vs Azucena | 8–5 | 61.54% |
| iGNACiO vs Heihachi | 5–8 | 38.46% |
| iGNACiO vs Shaheen | 3–9 | 25.00% |
| iGNACiO vs Lee | 3–8 | 27.27% |
| iGNACiO vs Xiaoyu | 6–4 | 60.00% |
| iGNACiO vs Devil Jin | 6–4 | 60.00% |
| iGNACiO vs Lars | 4–6 | 40.00% |
| iGNACiO vs Lili | 4–4 | 50.00% |
| iGNACiO vs Alisa | 2–6 | 25.00% |
| iGNACiO vs Paul | 6–1 | 85.71% |
| iGNACiO vs Feng | 3–4 | 42.86% |
| iGNACiO vs Leroy | 6–1 | 85.71% |
| iGNACiO vs Miary Zo | 1–4 | 20.00% |
| iGNACiO vs Nina | 1–2 | 33.33% |
| iGNACiO vs Armor King | 2–1 | 66.67% |
| iGNACiO vs Claudio | 2–0 | 100.00% |
| iGNACiO vs Raven | 0–2 | 0.00% |
| iGNACiO vs Lidia | 2–0 | 100.00% |
| iGNACiO vs Fahkumram | 2–0 | 100.00% |
| iGNACiO vs Panda | 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.