| KillaKoala vs Lidia | 10–22 | 31.25% |
| KillaKoala vs King | 6–23 | 20.69% |
| KillaKoala vs Reina | 16–12 | 57.14% |
| KillaKoala vs Lili | 9–7 | 56.25% |
| KillaKoala vs Kazuya | 7–8 | 46.67% |
| KillaKoala vs Azucena | 5–9 | 35.71% |
| KillaKoala vs Hwoarang | 6–7 | 46.15% |
| KillaKoala vs Jin | 5–7 | 41.67% |
| KillaKoala vs Xiaoyu | 3–8 | 27.27% |
| KillaKoala vs Dragunov | 6–4 | 60.00% |
| KillaKoala vs Kuma | 7–3 | 70.00% |
| KillaKoala vs Lars | 3–6 | 33.33% |
| KillaKoala vs Steve | 4–4 | 50.00% |
| KillaKoala vs Claudio | 4–4 | 50.00% |
| KillaKoala vs Paul | 4–3 | 57.14% |
| KillaKoala vs Leroy | 2–5 | 28.57% |
| KillaKoala vs Asuka | 0–6 | 0.00% |
| KillaKoala vs Lee | 4–2 | 66.67% |
| KillaKoala vs Jun | 5–1 | 83.33% |
| KillaKoala vs Bryan | 2–3 | 40.00% |
| KillaKoala vs Jack-8 | 3–2 | 60.00% |
| KillaKoala vs Devil Jin | 4–1 | 80.00% |
| KillaKoala vs Feng | 1–4 | 20.00% |
| KillaKoala vs Panda | 1–4 | 20.00% |
| KillaKoala vs Victor | 3–2 | 60.00% |
| KillaKoala vs Yoshimitsu | 1–3 | 25.00% |
| KillaKoala vs Leo | 2–2 | 50.00% |
| KillaKoala vs Alisa | 2–2 | 50.00% |
| KillaKoala vs Law | 1–2 | 33.33% |
| KillaKoala vs Raven | 2–1 | 66.67% |
| KillaKoala vs Heihachi | 2–1 | 66.67% |
| KillaKoala vs Shaheen | 0–2 | 0.00% |
| KillaKoala vs Nina | 0–2 | 0.00% |
| KillaKoala vs Eddy | 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.