| axiomByte vs Kazuya | 192–236 | 44.86% |
| axiomByte vs Jin | 191–217 | 46.81% |
| axiomByte vs King | 172–227 | 43.11% |
| axiomByte vs Bryan | 122–166 | 42.36% |
| axiomByte vs Law | 117–150 | 43.82% |
| axiomByte vs Heihachi | 93–156 | 37.35% |
| axiomByte vs Dragunov | 89–145 | 38.03% |
| axiomByte vs Steve | 101–131 | 43.53% |
| axiomByte vs Hwoarang | 70–106 | 39.77% |
| axiomByte vs Yoshimitsu | 71–98 | 42.01% |
| axiomByte vs Paul | 71–90 | 44.10% |
| axiomByte vs Reina | 58–88 | 39.73% |
| axiomByte vs Lars | 60–62 | 49.18% |
| axiomByte vs Devil Jin | 46–69 | 40.00% |
| axiomByte vs Lee | 46–60 | 43.40% |
| axiomByte vs Anna | 49–53 | 48.04% |
| axiomByte vs Armor King | 39–51 | 43.33% |
| axiomByte vs Nina | 44–44 | 50.00% |
| axiomByte vs Lili | 38–44 | 46.34% |
| axiomByte vs Asuka | 39–37 | 51.32% |
| axiomByte vs Jun | 31–44 | 41.33% |
| axiomByte vs Alisa | 42–26 | 61.76% |
| axiomByte vs Clive | 31–32 | 49.21% |
| axiomByte vs Claudio | 25–37 | 40.32% |
| axiomByte vs Victor | 34–28 | 54.84% |
| axiomByte vs Feng | 20–34 | 37.04% |
| axiomByte vs Eddy | 21–31 | 40.38% |
| axiomByte vs Azucena | 24–27 | 47.06% |
| axiomByte vs Jack-8 | 14–34 | 29.17% |
| axiomByte vs Leo | 15–29 | 34.09% |
| axiomByte vs Leroy | 18–24 | 42.86% |
| axiomByte vs Lidia | 23–13 | 63.89% |
| axiomByte vs Xiaoyu | 4–27 | 12.90% |
| axiomByte vs Raven | 14–16 | 46.67% |
| axiomByte vs Fahkumram | 12–12 | 50.00% |
| axiomByte vs Kuma | 10–13 | 43.48% |
| axiomByte vs Shaheen | 9–12 | 42.86% |
| axiomByte vs Miary Zo | 6–12 | 33.33% |
| axiomByte vs Zafina | 9–8 | 52.94% |
| axiomByte vs Panda | 1–2 | 33.33% |
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.