| KunLE vs Jin | 20–21 | 48.78% |
| KunLE vs Kazuya | 17–24 | 41.46% |
| KunLE vs King | 23–13 | 63.89% |
| KunLE vs Bryan | 11–19 | 36.67% |
| KunLE vs Steve | 17–12 | 58.62% |
| KunLE vs Dragunov | 13–15 | 46.43% |
| KunLE vs Law | 12–15 | 44.44% |
| KunLE vs Victor | 17–10 | 62.96% |
| KunLE vs Hwoarang | 13–7 | 65.00% |
| KunLE vs Reina | 7–13 | 35.00% |
| KunLE vs Lili | 13–6 | 68.42% |
| KunLE vs Jun | 10–9 | 52.63% |
| KunLE vs Heihachi | 6–11 | 35.29% |
| KunLE vs Asuka | 8–8 | 50.00% |
| KunLE vs Eddy | 9–6 | 60.00% |
| KunLE vs Paul | 8–6 | 57.14% |
| KunLE vs Anna | 7–7 | 50.00% |
| KunLE vs Lars | 4–9 | 30.77% |
| KunLE vs Nina | 5–8 | 38.46% |
| KunLE vs Xiaoyu | 6–5 | 54.55% |
| KunLE vs Claudio | 3–8 | 27.27% |
| KunLE vs Lee | 4–7 | 36.36% |
| KunLE vs Raven | 7–2 | 77.78% |
| KunLE vs Lidia | 6–3 | 66.67% |
| KunLE vs Devil Jin | 3–5 | 37.50% |
| KunLE vs Leroy | 3–5 | 37.50% |
| KunLE vs Azucena | 4–4 | 50.00% |
| KunLE vs Jack-8 | 4–3 | 57.14% |
| KunLE vs Leo | 5–2 | 71.43% |
| KunLE vs Alisa | 5–2 | 71.43% |
| KunLE vs Clive | 4–3 | 57.14% |
| KunLE vs Fahkumram | 3–4 | 42.86% |
| KunLE vs Yoshimitsu | 2–4 | 33.33% |
| KunLE vs Feng | 1–5 | 16.67% |
| KunLE vs Kuma | 0–4 | 0.00% |
| KunLE vs Shaheen | 3–0 | 100.00% |
| KunLE vs Armor King | 2–1 | 66.67% |
| KunLE vs Zafina | 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.