| k0ben4eG vs Jin | 86–75 | 53.42% |
| k0ben4eG vs Kazuya | 81–80 | 50.31% |
| k0ben4eG vs Bryan | 49–74 | 39.84% |
| k0ben4eG vs King | 60–45 | 57.14% |
| k0ben4eG vs Hwoarang | 52–46 | 53.06% |
| k0ben4eG vs Dragunov | 35–63 | 35.71% |
| k0ben4eG vs Steve | 46–49 | 48.42% |
| k0ben4eG vs Reina | 45–39 | 53.57% |
| k0ben4eG vs Law | 47–30 | 61.04% |
| k0ben4eG vs Devil Jin | 33–37 | 47.14% |
| k0ben4eG vs Paul | 23–41 | 35.94% |
| k0ben4eG vs Lili | 28–29 | 49.12% |
| k0ben4eG vs Heihachi | 29–26 | 52.73% |
| k0ben4eG vs Lee | 18–28 | 39.13% |
| k0ben4eG vs Eddy | 25–20 | 55.56% |
| k0ben4eG vs Jun | 19–25 | 43.18% |
| k0ben4eG vs Victor | 24–20 | 54.55% |
| k0ben4eG vs Asuka | 25–18 | 58.14% |
| k0ben4eG vs Yoshimitsu | 20–20 | 50.00% |
| k0ben4eG vs Alisa | 21–17 | 55.26% |
| k0ben4eG vs Lars | 16–19 | 45.71% |
| k0ben4eG vs Azucena | 10–22 | 31.25% |
| k0ben4eG vs Nina | 7–20 | 25.93% |
| k0ben4eG vs Xiaoyu | 11–15 | 42.31% |
| k0ben4eG vs Feng | 13–13 | 50.00% |
| k0ben4eG vs Jack-8 | 12–13 | 48.00% |
| k0ben4eG vs Leo | 9–15 | 37.50% |
| k0ben4eG vs Clive | 10–14 | 41.67% |
| k0ben4eG vs Fahkumram | 7–14 | 33.33% |
| k0ben4eG vs Zafina | 2–16 | 11.11% |
| k0ben4eG vs Leroy | 7–10 | 41.18% |
| k0ben4eG vs Claudio | 8–8 | 50.00% |
| k0ben4eG vs Raven | 7–7 | 50.00% |
| k0ben4eG vs Panda | 6–5 | 54.55% |
| k0ben4eG vs Shaheen | 4–6 | 40.00% |
| k0ben4eG vs Lidia | 5–5 | 50.00% |
| k0ben4eG vs Armor King | 4–6 | 40.00% |
| k0ben4eG vs Kuma | 3–6 | 33.33% |
| k0ben4eG vs Anna | 3–4 | 42.86% |
| k0ben4eG vs Miary Zo | 0–6 | 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.