| AlleN vs Law | 26–31 | 45.61% |
| AlleN vs King | 22–25 | 46.81% |
| AlleN vs Kazuya | 13–30 | 30.23% |
| AlleN vs Jin | 19–21 | 47.50% |
| AlleN vs Dragunov | 13–24 | 35.14% |
| AlleN vs Hwoarang | 17–19 | 47.22% |
| AlleN vs Steve | 14–19 | 42.42% |
| AlleN vs Fahkumram | 9–18 | 33.33% |
| AlleN vs Paul | 12–14 | 46.15% |
| AlleN vs Bryan | 14–10 | 58.33% |
| AlleN vs Reina | 6–17 | 26.09% |
| AlleN vs Azucena | 13–8 | 61.90% |
| AlleN vs Anna | 8–13 | 38.10% |
| AlleN vs Devil Jin | 6–14 | 30.00% |
| AlleN vs Asuka | 9–10 | 47.37% |
| AlleN vs Lars | 2–16 | 11.11% |
| AlleN vs Jun | 7–11 | 38.89% |
| AlleN vs Heihachi | 7–11 | 38.89% |
| AlleN vs Nina | 5–12 | 29.41% |
| AlleN vs Feng | 4–12 | 25.00% |
| AlleN vs Lee | 6–10 | 37.50% |
| AlleN vs Leroy | 6–9 | 40.00% |
| AlleN vs Claudio | 6–8 | 42.86% |
| AlleN vs Yoshimitsu | 7–6 | 53.85% |
| AlleN vs Victor | 5–8 | 38.46% |
| AlleN vs Eddy | 2–11 | 15.38% |
| AlleN vs Xiaoyu | 5–6 | 45.45% |
| AlleN vs Lidia | 4–6 | 40.00% |
| AlleN vs Jack-8 | 1–7 | 12.50% |
| AlleN vs Lili | 4–4 | 50.00% |
| AlleN vs Leo | 5–3 | 62.50% |
| AlleN vs Raven | 4–3 | 57.14% |
| AlleN vs Kuma | 3–3 | 50.00% |
| AlleN vs Clive | 0–5 | 0.00% |
| AlleN vs Alisa | 1–3 | 25.00% |
| AlleN vs Zafina | 2–2 | 50.00% |
| AlleN vs Panda | 2–1 | 66.67% |
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.