| W1ld vs Kazuya | 91–63 | 59.09% |
| W1ld vs Heihachi | 88–57 | 60.69% |
| W1ld vs Hwoarang | 75–41 | 64.66% |
| W1ld vs Jin | 68–47 | 59.13% |
| W1ld vs Dragunov | 77–31 | 71.30% |
| W1ld vs King | 62–37 | 62.63% |
| W1ld vs Bryan | 62–35 | 63.92% |
| W1ld vs Reina | 58–39 | 59.79% |
| W1ld vs Law | 58–36 | 61.70% |
| W1ld vs Yoshimitsu | 42–34 | 55.26% |
| W1ld vs Devil Jin | 36–39 | 48.00% |
| W1ld vs Steve | 39–35 | 52.70% |
| W1ld vs Lili | 38–34 | 52.78% |
| W1ld vs Lars | 31–34 | 47.69% |
| W1ld vs Lee | 41–23 | 64.06% |
| W1ld vs Jun | 34–24 | 58.62% |
| W1ld vs Victor | 26–25 | 50.98% |
| W1ld vs Paul | 40–10 | 80.00% |
| W1ld vs Zafina | 21–27 | 43.75% |
| W1ld vs Feng | 23–24 | 48.94% |
| W1ld vs Leo | 19–27 | 41.30% |
| W1ld vs Asuka | 27–16 | 62.79% |
| W1ld vs Xiaoyu | 20–22 | 47.62% |
| W1ld vs Azucena | 17–24 | 41.46% |
| W1ld vs Leroy | 18–22 | 45.00% |
| W1ld vs Raven | 20–20 | 50.00% |
| W1ld vs Shaheen | 21–16 | 56.76% |
| W1ld vs Eddy | 22–15 | 59.46% |
| W1ld vs Nina | 19–17 | 52.78% |
| W1ld vs Lidia | 16–17 | 48.48% |
| W1ld vs Alisa | 16–16 | 50.00% |
| W1ld vs Claudio | 11–18 | 37.93% |
| W1ld vs Jack-8 | 16–10 | 61.54% |
| W1ld vs Clive | 4–11 | 26.67% |
| W1ld vs Panda | 6–7 | 46.15% |
| W1ld vs Kuma | 1–9 | 10.00% |
| W1ld vs Fahkumram | 2–7 | 22.22% |
| W1ld vs Anna | 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.