| kickback vs Reina | 41–23 | 64.06% |
| kickback vs Bryan | 28–33 | 45.90% |
| kickback vs King | 29–22 | 56.86% |
| kickback vs Lidia | 29–19 | 60.42% |
| kickback vs Jin | 26–20 | 56.52% |
| kickback vs Heihachi | 20–26 | 43.48% |
| kickback vs Kazuya | 31–13 | 70.45% |
| kickback vs Lili | 27–14 | 65.85% |
| kickback vs Asuka | 19–16 | 54.29% |
| kickback vs Yoshimitsu | 21–13 | 61.76% |
| kickback vs Paul | 21–12 | 63.64% |
| kickback vs Dragunov | 16–15 | 51.61% |
| kickback vs Hwoarang | 13–16 | 44.83% |
| kickback vs Steve | 21–7 | 75.00% |
| kickback vs Lee | 15–13 | 53.57% |
| kickback vs Feng | 12–13 | 48.00% |
| kickback vs Jun | 15–10 | 60.00% |
| kickback vs Devil Jin | 16–7 | 69.57% |
| kickback vs Azucena | 13–8 | 61.90% |
| kickback vs Law | 7–12 | 36.84% |
| kickback vs Leo | 9–10 | 47.37% |
| kickback vs Raven | 9–9 | 50.00% |
| kickback vs Xiaoyu | 9–8 | 52.94% |
| kickback vs Lars | 6–9 | 40.00% |
| kickback vs Jack-8 | 9–5 | 64.29% |
| kickback vs Shaheen | 7–6 | 53.85% |
| kickback vs Nina | 8–5 | 61.54% |
| kickback vs Leroy | 9–4 | 69.23% |
| kickback vs Claudio | 4–8 | 33.33% |
| kickback vs Clive | 7–5 | 58.33% |
| kickback vs Alisa | 5–5 | 50.00% |
| kickback vs Victor | 5–3 | 62.50% |
| kickback vs Eddy | 7–1 | 87.50% |
| kickback vs Zafina | 3–4 | 42.86% |
| kickback vs Panda | 1–4 | 20.00% |
| kickback vs Anna | 2–1 | 66.67% |
| kickback vs Armor King | 1–2 | 33.33% |
| kickback vs Fahkumram | 2–0 | 100.00% |
| kickback vs Kuma | 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.