| k1everson vs King | 43–16 | 72.88% |
| k1everson vs Jin | 31–26 | 54.39% |
| k1everson vs Eddy | 29–22 | 56.86% |
| k1everson vs Kazuya | 29–14 | 67.44% |
| k1everson vs Dragunov | 22–20 | 52.38% |
| k1everson vs Steve | 25–15 | 62.50% |
| k1everson vs Armor King | 13–21 | 38.24% |
| k1everson vs Bryan | 18–14 | 56.25% |
| k1everson vs Reina | 9–22 | 29.03% |
| k1everson vs Hwoarang | 19–11 | 63.33% |
| k1everson vs Lee | 8–17 | 32.00% |
| k1everson vs Jun | 13–12 | 52.00% |
| k1everson vs Miary Zo | 13–12 | 52.00% |
| k1everson vs Nina | 14–9 | 60.87% |
| k1everson vs Azucena | 9–14 | 39.13% |
| k1everson vs Lili | 9–11 | 45.00% |
| k1everson vs Law | 10–8 | 55.56% |
| k1everson vs Lidia | 6–9 | 40.00% |
| k1everson vs Feng | 11–3 | 78.57% |
| k1everson vs Victor | 8–5 | 61.54% |
| k1everson vs Paul | 9–3 | 75.00% |
| k1everson vs Asuka | 6–6 | 50.00% |
| k1everson vs Heihachi | 6–6 | 50.00% |
| k1everson vs Yoshimitsu | 4–6 | 40.00% |
| k1everson vs Claudio | 3–7 | 30.00% |
| k1everson vs Devil Jin | 2–6 | 25.00% |
| k1everson vs Xiaoyu | 3–4 | 42.86% |
| k1everson vs Jack-8 | 4–3 | 57.14% |
| k1everson vs Lars | 4–3 | 57.14% |
| k1everson vs Leroy | 3–3 | 50.00% |
| k1everson vs Alisa | 3–1 | 75.00% |
| k1everson vs Panda | 2–2 | 50.00% |
| k1everson vs Leo | 2–1 | 66.67% |
| k1everson vs Kuma | 2–1 | 66.67% |
| k1everson vs Fahkumram | 2–1 | 66.67% |
| k1everson vs Clive | 1–1 | 50.00% |
| k1everson vs Anna | 0–2 | 0.00% |
| k1everson 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.