| Axon vs Bryan | 78–52 | 60.00% |
| Axon vs Kazuya | 77–41 | 65.25% |
| Axon vs Reina | 68–33 | 67.33% |
| Axon vs Hwoarang | 61–37 | 62.24% |
| Axon vs Jin | 59–38 | 60.82% |
| Axon vs King | 52–43 | 54.74% |
| Axon vs Law | 58–29 | 66.67% |
| Axon vs Steve | 55–31 | 63.95% |
| Axon vs Lee | 50–36 | 58.14% |
| Axon vs Yoshimitsu | 40–39 | 50.63% |
| Axon vs Paul | 43–30 | 58.90% |
| Axon vs Lili | 38–31 | 55.07% |
| Axon vs Lars | 32–32 | 50.00% |
| Axon vs Asuka | 34–28 | 54.84% |
| Axon vs Azucena | 41–21 | 66.13% |
| Axon vs Jun | 45–16 | 73.77% |
| Axon vs Devil Jin | 38–22 | 63.33% |
| Axon vs Heihachi | 35–23 | 60.34% |
| Axon vs Xiaoyu | 32–24 | 57.14% |
| Axon vs Eddy | 39–16 | 70.91% |
| Axon vs Victor | 32–22 | 59.26% |
| Axon vs Clive | 20–34 | 37.04% |
| Axon vs Zafina | 24–28 | 46.15% |
| Axon vs Dragunov | 26–24 | 52.00% |
| Axon vs Feng | 32–16 | 66.67% |
| Axon vs Nina | 30–17 | 63.83% |
| Axon vs Jack-8 | 22–22 | 50.00% |
| Axon vs Raven | 24–17 | 58.54% |
| Axon vs Claudio | 23–17 | 57.50% |
| Axon vs Shaheen | 22–18 | 55.00% |
| Axon vs Leroy | 23–17 | 57.50% |
| Axon vs Alisa | 13–26 | 33.33% |
| Axon vs Leo | 18–20 | 47.37% |
| Axon vs Lidia | 19–18 | 51.35% |
| Axon vs Kuma | 25–7 | 78.12% |
| Axon vs Panda | 6–3 | 66.67% |
| Axon vs Anna | 2–2 | 50.00% |
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.