| WallPython vs Jin | 42–44 | 48.84% |
| WallPython vs Kazuya | 31–38 | 44.93% |
| WallPython vs Eddy | 27–31 | 46.55% |
| WallPython vs King | 23–27 | 46.00% |
| WallPython vs Reina | 31–19 | 62.00% |
| WallPython vs Bryan | 19–23 | 45.24% |
| WallPython vs Dragunov | 22–19 | 53.66% |
| WallPython vs Steve | 24–15 | 61.54% |
| WallPython vs Jun | 17–21 | 44.74% |
| WallPython vs Hwoarang | 15–21 | 41.67% |
| WallPython vs Armor King | 20–13 | 60.61% |
| WallPython vs Leo | 20–12 | 62.50% |
| WallPython vs Feng | 14–14 | 50.00% |
| WallPython vs Lars | 10–17 | 37.04% |
| WallPython vs Leroy | 12–15 | 44.44% |
| WallPython vs Azucena | 10–17 | 37.04% |
| WallPython vs Law | 9–16 | 36.00% |
| WallPython vs Devil Jin | 11–14 | 44.00% |
| WallPython vs Lili | 6–19 | 24.00% |
| WallPython vs Lee | 15–8 | 65.22% |
| WallPython vs Yoshimitsu | 15–7 | 68.18% |
| WallPython vs Paul | 5–16 | 23.81% |
| WallPython vs Victor | 14–7 | 66.67% |
| WallPython vs Nina | 10–9 | 52.63% |
| WallPython vs Heihachi | 8–9 | 47.06% |
| WallPython vs Zafina | 4–12 | 25.00% |
| WallPython vs Raven | 6–10 | 37.50% |
| WallPython vs Asuka | 9–5 | 64.29% |
| WallPython vs Jack-8 | 2–10 | 16.67% |
| WallPython vs Xiaoyu | 5–6 | 45.45% |
| WallPython vs Claudio | 2–9 | 18.18% |
| WallPython vs Shaheen | 4–6 | 40.00% |
| WallPython vs Miary Zo | 4–5 | 44.44% |
| WallPython vs Alisa | 3–4 | 42.86% |
| WallPython vs Lidia | 1–6 | 14.29% |
| WallPython vs Kuma | 3–2 | 60.00% |
| WallPython vs Panda | 1–4 | 20.00% |
| WallPython vs Clive | 2–2 | 50.00% |
| WallPython vs Fahkumram | 0–3 | 0.00% |
| WallPython vs Anna | 0–2 | 0.00% |
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.