| Ik4ra vs Kazuya | 19–30 | 38.78% |
| Ik4ra vs Dragunov | 16–31 | 34.04% |
| Ik4ra vs Jin | 19–24 | 44.19% |
| Ik4ra vs Steve | 17–18 | 48.57% |
| Ik4ra vs Fahkumram | 19–14 | 57.58% |
| Ik4ra vs Bryan | 22–10 | 68.75% |
| Ik4ra vs Hwoarang | 14–16 | 46.67% |
| Ik4ra vs King | 13–10 | 56.52% |
| Ik4ra vs Heihachi | 10–13 | 43.48% |
| Ik4ra vs Jun | 11–9 | 55.00% |
| Ik4ra vs Law | 11–6 | 64.71% |
| Ik4ra vs Reina | 14–3 | 82.35% |
| Ik4ra vs Anna | 7–10 | 41.18% |
| Ik4ra vs Lili | 9–7 | 56.25% |
| Ik4ra vs Paul | 9–6 | 60.00% |
| Ik4ra vs Azucena | 8–7 | 53.33% |
| Ik4ra vs Yoshimitsu | 6–7 | 46.15% |
| Ik4ra vs Lee | 9–4 | 69.23% |
| Ik4ra vs Xiaoyu | 6–6 | 50.00% |
| Ik4ra vs Jack-8 | 8–4 | 66.67% |
| Ik4ra vs Leroy | 8–4 | 66.67% |
| Ik4ra vs Eddy | 6–4 | 60.00% |
| Ik4ra vs Lidia | 6–4 | 60.00% |
| Ik4ra vs Devil Jin | 3–6 | 33.33% |
| Ik4ra vs Nina | 6–3 | 66.67% |
| Ik4ra vs Victor | 4–5 | 44.44% |
| Ik4ra vs Feng | 3–5 | 37.50% |
| Ik4ra vs Alisa | 4–4 | 50.00% |
| Ik4ra vs Leo | 3–4 | 42.86% |
| Ik4ra vs Lars | 3–4 | 42.86% |
| Ik4ra vs Clive | 4–3 | 57.14% |
| Ik4ra vs Asuka | 4–2 | 66.67% |
| Ik4ra vs Raven | 2–3 | 40.00% |
| Ik4ra vs Kuma | 3–1 | 75.00% |
| Ik4ra vs Claudio | 2–0 | 100.00% |
| Ik4ra vs Shaheen | 0–2 | 0.00% |
| Ik4ra vs Panda | 2–0 | 100.00% |
| Ik4ra vs Zafina | 2–0 | 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.