| Pxc_Lxner vs Jin | 16–16 | 50.00% |
| Pxc_Lxner vs Law | 15–12 | 55.56% |
| Pxc_Lxner vs Kazuya | 19–5 | 79.17% |
| Pxc_Lxner vs King | 14–7 | 66.67% |
| Pxc_Lxner vs Eddy | 10–5 | 66.67% |
| Pxc_Lxner vs Paul | 6–7 | 46.15% |
| Pxc_Lxner vs Yoshimitsu | 5–7 | 41.67% |
| Pxc_Lxner vs Clive | 8–4 | 66.67% |
| Pxc_Lxner vs Steve | 10–1 | 90.91% |
| Pxc_Lxner vs Reina | 10–1 | 90.91% |
| Pxc_Lxner vs Victor | 8–3 | 72.73% |
| Pxc_Lxner vs Lili | 4–6 | 40.00% |
| Pxc_Lxner vs Jun | 6–4 | 60.00% |
| Pxc_Lxner vs Heihachi | 6–4 | 60.00% |
| Pxc_Lxner vs Feng | 6–2 | 75.00% |
| Pxc_Lxner vs Dragunov | 5–3 | 62.50% |
| Pxc_Lxner vs Leo | 7–1 | 87.50% |
| Pxc_Lxner vs Nina | 6–2 | 75.00% |
| Pxc_Lxner vs Devil Jin | 5–2 | 71.43% |
| Pxc_Lxner vs Hwoarang | 2–4 | 33.33% |
| Pxc_Lxner vs Azucena | 1–5 | 16.67% |
| Pxc_Lxner vs Raven | 3–3 | 50.00% |
| Pxc_Lxner vs Fahkumram | 2–4 | 33.33% |
| Pxc_Lxner vs Xiaoyu | 4–1 | 80.00% |
| Pxc_Lxner vs Lee | 4–1 | 80.00% |
| Pxc_Lxner vs Zafina | 4–1 | 80.00% |
| Pxc_Lxner vs Bryan | 3–1 | 75.00% |
| Pxc_Lxner vs Lars | 2–2 | 50.00% |
| Pxc_Lxner vs Armor King | 2–2 | 50.00% |
| Pxc_Lxner vs Claudio | 1–2 | 33.33% |
| Pxc_Lxner vs Kuma | 1–2 | 33.33% |
| Pxc_Lxner vs Anna | 2–1 | 66.67% |
| Pxc_Lxner vs Jack-8 | 0–1 | 0.00% |
| Pxc_Lxner vs Leroy | 1–0 | 100.00% |
| Pxc_Lxner vs Lidia | 1–0 | 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.