| Axonn vs King | 144–108 | 57.14% |
| Axonn vs Bryan | 82–97 | 45.81% |
| Axonn vs Kazuya | 72–101 | 41.62% |
| Axonn vs Law | 78–69 | 53.06% |
| Axonn vs Jin | 56–82 | 40.58% |
| Axonn vs Steve | 52–72 | 41.94% |
| Axonn vs Hwoarang | 53–54 | 49.53% |
| Axonn vs Lili | 54–45 | 54.55% |
| Axonn vs Paul | 49–48 | 50.52% |
| Axonn vs Dragunov | 52–41 | 55.91% |
| Axonn vs Heihachi | 46–43 | 51.69% |
| Axonn vs Asuka | 43–34 | 55.84% |
| Axonn vs Lee | 33–42 | 44.00% |
| Axonn vs Reina | 29–45 | 39.19% |
| Axonn vs Armor King | 42–31 | 57.53% |
| Axonn vs Yoshimitsu | 24–42 | 36.36% |
| Axonn vs Lars | 27–38 | 41.54% |
| Axonn vs Jun | 33–32 | 50.77% |
| Axonn vs Nina | 31–33 | 48.44% |
| Axonn vs Devil Jin | 23–37 | 38.33% |
| Axonn vs Xiaoyu | 25–32 | 43.86% |
| Axonn vs Azucena | 21–34 | 38.18% |
| Axonn vs Victor | 32–23 | 58.18% |
| Axonn vs Eddy | 26–29 | 47.27% |
| Axonn vs Feng | 20–27 | 42.55% |
| Axonn vs Raven | 20–27 | 42.55% |
| Axonn vs Leo | 20–22 | 47.62% |
| Axonn vs Anna | 26–14 | 65.00% |
| Axonn vs Alisa | 11–23 | 32.35% |
| Axonn vs Leroy | 13–20 | 39.39% |
| Axonn vs Lidia | 18–14 | 56.25% |
| Axonn vs Clive | 11–19 | 36.67% |
| Axonn vs Fahkumram | 18–11 | 62.07% |
| Axonn vs Jack-8 | 7–15 | 31.82% |
| Axonn vs Kuma | 10–11 | 47.62% |
| Axonn vs Zafina | 9–11 | 45.00% |
| Axonn vs Claudio | 7–11 | 38.89% |
| Axonn vs Shaheen | 7–8 | 46.67% |
| Axonn vs Miary Zo | 2–7 | 22.22% |
| Axonn vs Panda | 3–5 | 37.50% |
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.