| killapanda102 vs Hwoarang | 16–19 | 45.71% |
| killapanda102 vs Reina | 21–14 | 60.00% |
| killapanda102 vs King | 13–16 | 44.83% |
| killapanda102 vs Kazuya | 7–15 | 31.82% |
| killapanda102 vs Jin | 7–13 | 35.00% |
| killapanda102 vs Eddy | 8–11 | 42.11% |
| killapanda102 vs Paul | 4–13 | 23.53% |
| killapanda102 vs Law | 4–10 | 28.57% |
| killapanda102 vs Armor King | 5–9 | 35.71% |
| killapanda102 vs Azucena | 5–7 | 41.67% |
| killapanda102 vs Xiaoyu | 4–7 | 36.36% |
| killapanda102 vs Bryan | 4–7 | 36.36% |
| killapanda102 vs Asuka | 4–7 | 36.36% |
| killapanda102 vs Dragunov | 7–4 | 63.64% |
| killapanda102 vs Steve | 4–5 | 44.44% |
| killapanda102 vs Feng | 3–6 | 33.33% |
| killapanda102 vs Claudio | 1–8 | 11.11% |
| killapanda102 vs Lili | 1–7 | 12.50% |
| killapanda102 vs Lars | 4–4 | 50.00% |
| killapanda102 vs Victor | 4–4 | 50.00% |
| killapanda102 vs Yoshimitsu | 2–4 | 33.33% |
| killapanda102 vs Nina | 1–5 | 16.67% |
| killapanda102 vs Miary Zo | 5–1 | 83.33% |
| killapanda102 vs Devil Jin | 3–2 | 60.00% |
| killapanda102 vs Panda | 3–2 | 60.00% |
| killapanda102 vs Jun | 4–1 | 80.00% |
| killapanda102 vs Heihachi | 2–3 | 40.00% |
| killapanda102 vs Leo | 3–1 | 75.00% |
| killapanda102 vs Alisa | 2–2 | 50.00% |
| killapanda102 vs Lee | 2–2 | 50.00% |
| killapanda102 vs Kuma | 0–4 | 0.00% |
| killapanda102 vs Leroy | 2–2 | 50.00% |
| killapanda102 vs Fahkumram | 4–0 | 100.00% |
| killapanda102 vs Shaheen | 2–1 | 66.67% |
| killapanda102 vs Raven | 2–1 | 66.67% |
| killapanda102 vs Clive | 2–1 | 66.67% |
| killapanda102 vs Jack-8 | 2–0 | 100.00% |
| killapanda102 vs Anna | 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.