| wxlo vs King | 90–59 | 60.40% |
| wxlo vs Jin | 70–45 | 60.87% |
| wxlo vs Dragunov | 69–43 | 61.61% |
| wxlo vs Kazuya | 72–39 | 64.86% |
| wxlo vs Bryan | 57–52 | 52.29% |
| wxlo vs Heihachi | 46–47 | 49.46% |
| wxlo vs Paul | 38–52 | 42.22% |
| wxlo vs Law | 48–42 | 53.33% |
| wxlo vs Hwoarang | 42–42 | 50.00% |
| wxlo vs Yoshimitsu | 35–45 | 43.75% |
| wxlo vs Eddy | 42–31 | 57.53% |
| wxlo vs Steve | 31–34 | 47.69% |
| wxlo vs Reina | 41–21 | 66.13% |
| wxlo vs Nina | 37–23 | 61.67% |
| wxlo vs Devil Jin | 22–33 | 40.00% |
| wxlo vs Anna | 34–18 | 65.38% |
| wxlo vs Lili | 25–26 | 49.02% |
| wxlo vs Victor | 25–24 | 51.02% |
| wxlo vs Lee | 27–20 | 57.45% |
| wxlo vs Jun | 27–19 | 58.70% |
| wxlo vs Feng | 27–18 | 60.00% |
| wxlo vs Alisa | 17–27 | 38.64% |
| wxlo vs Armor King | 18–26 | 40.91% |
| wxlo vs Azucena | 27–14 | 65.85% |
| wxlo vs Xiaoyu | 21–18 | 53.85% |
| wxlo vs Claudio | 19–15 | 55.88% |
| wxlo vs Kuma | 10–19 | 34.48% |
| wxlo vs Asuka | 10–16 | 38.46% |
| wxlo vs Lars | 10–15 | 40.00% |
| wxlo vs Jack-8 | 7–17 | 29.17% |
| wxlo vs Shaheen | 9–11 | 45.00% |
| wxlo vs Clive | 9–11 | 45.00% |
| wxlo vs Leo | 7–12 | 36.84% |
| wxlo vs Raven | 6–4 | 60.00% |
| wxlo vs Lidia | 5–5 | 50.00% |
| wxlo vs Leroy | 4–5 | 44.44% |
| wxlo vs Fahkumram | 5–1 | 83.33% |
| wxlo vs Panda | 2–3 | 40.00% |
| wxlo vs Zafina | 3–2 | 60.00% |
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.