| aldapxndx vs Jin | 55–35 | 61.11% |
| aldapxndx vs King | 32–42 | 43.24% |
| aldapxndx vs Steve | 24–25 | 48.98% |
| aldapxndx vs Kazuya | 24–17 | 58.54% |
| aldapxndx vs Reina | 25–13 | 65.79% |
| aldapxndx vs Miary Zo | 13–18 | 41.94% |
| aldapxndx vs Law | 12–17 | 41.38% |
| aldapxndx vs Armor King | 12–16 | 42.86% |
| aldapxndx vs Bryan | 9–17 | 34.62% |
| aldapxndx vs Asuka | 10–16 | 38.46% |
| aldapxndx vs Heihachi | 11–14 | 44.00% |
| aldapxndx vs Dragunov | 14–10 | 58.33% |
| aldapxndx vs Azucena | 16–8 | 66.67% |
| aldapxndx vs Lidia | 17–7 | 70.83% |
| aldapxndx vs Hwoarang | 13–10 | 56.52% |
| aldapxndx vs Eddy | 13–10 | 56.52% |
| aldapxndx vs Paul | 6–14 | 30.00% |
| aldapxndx vs Lili | 7–11 | 38.89% |
| aldapxndx vs Lars | 5–13 | 27.78% |
| aldapxndx vs Feng | 11–5 | 68.75% |
| aldapxndx vs Devil Jin | 7–7 | 50.00% |
| aldapxndx vs Victor | 7–7 | 50.00% |
| aldapxndx vs Jun | 8–4 | 66.67% |
| aldapxndx vs Yoshimitsu | 7–4 | 63.64% |
| aldapxndx vs Kuma | 4–6 | 40.00% |
| aldapxndx vs Anna | 4–6 | 40.00% |
| aldapxndx vs Fahkumram | 4–6 | 40.00% |
| aldapxndx vs Jack-8 | 7–2 | 77.78% |
| aldapxndx vs Xiaoyu | 3–5 | 37.50% |
| aldapxndx vs Lee | 3–5 | 37.50% |
| aldapxndx vs Alisa | 3–4 | 42.86% |
| aldapxndx vs Nina | 4–3 | 57.14% |
| aldapxndx vs Leo | 5–1 | 83.33% |
| aldapxndx vs Claudio | 5–1 | 83.33% |
| aldapxndx vs Leroy | 2–4 | 33.33% |
| aldapxndx vs Clive | 0–6 | 0.00% |
| aldapxndx vs Zafina | 4–1 | 80.00% |
| aldapxndx vs Raven | 4–1 | 80.00% |
| aldapxndx vs Panda | 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.