| AMXN vs King | 35–29 | 54.69% |
| AMXN vs Kazuya | 24–37 | 39.34% |
| AMXN vs Jin | 31–27 | 53.45% |
| AMXN vs Steve | 28–29 | 49.12% |
| AMXN vs Heihachi | 23–34 | 40.35% |
| AMXN vs Bryan | 26–28 | 48.15% |
| AMXN vs Reina | 27–22 | 55.10% |
| AMXN vs Hwoarang | 15–26 | 36.59% |
| AMXN vs Yoshimitsu | 15–21 | 41.67% |
| AMXN vs Dragunov | 15–21 | 41.67% |
| AMXN vs Clive | 17–18 | 48.57% |
| AMXN vs Law | 13–19 | 40.62% |
| AMXN vs Lili | 15–15 | 50.00% |
| AMXN vs Eddy | 14–14 | 50.00% |
| AMXN vs Nina | 9–15 | 37.50% |
| AMXN vs Asuka | 13–9 | 59.09% |
| AMXN vs Jun | 13–8 | 61.90% |
| AMXN vs Azucena | 14–7 | 66.67% |
| AMXN vs Paul | 7–12 | 36.84% |
| AMXN vs Leroy | 9–10 | 47.37% |
| AMXN vs Lee | 7–11 | 38.89% |
| AMXN vs Victor | 9–6 | 60.00% |
| AMXN vs Lidia | 11–4 | 73.33% |
| AMXN vs Jack-8 | 8–6 | 57.14% |
| AMXN vs Xiaoyu | 6–7 | 46.15% |
| AMXN vs Devil Jin | 4–9 | 30.77% |
| AMXN vs Alisa | 4–8 | 33.33% |
| AMXN vs Anna | 6–5 | 54.55% |
| AMXN vs Lars | 4–5 | 44.44% |
| AMXN vs Leo | 3–5 | 37.50% |
| AMXN vs Raven | 4–4 | 50.00% |
| AMXN vs Kuma | 3–4 | 42.86% |
| AMXN vs Feng | 0–6 | 0.00% |
| AMXN vs Claudio | 2–4 | 33.33% |
| AMXN vs Shaheen | 0–4 | 0.00% |
| AMXN vs Panda | 2–1 | 66.67% |
| AMXN vs Zafina | 1–2 | 33.33% |
| AMXN vs Fahkumram | 2–0 | 100.00% |
| AMXN vs Miary Zo | 2–0 | 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.