| wilc0r vs Kazuya | 89–120 | 42.58% |
| wilc0r vs King | 94–68 | 58.02% |
| wilc0r vs Jin | 78–80 | 49.37% |
| wilc0r vs Reina | 71–82 | 46.41% |
| wilc0r vs Bryan | 59–80 | 42.45% |
| wilc0r vs Law | 62–62 | 50.00% |
| wilc0r vs Armor King | 70–49 | 58.82% |
| wilc0r vs Hwoarang | 49–65 | 42.98% |
| wilc0r vs Lili | 50–50 | 50.00% |
| wilc0r vs Eddy | 29–71 | 29.00% |
| wilc0r vs Dragunov | 41–50 | 45.05% |
| wilc0r vs Steve | 43–42 | 50.59% |
| wilc0r vs Jun | 39–41 | 48.75% |
| wilc0r vs Devil Jin | 42–32 | 56.76% |
| wilc0r vs Fahkumram | 34–37 | 47.89% |
| wilc0r vs Yoshimitsu | 29–40 | 42.03% |
| wilc0r vs Asuka | 30–35 | 46.15% |
| wilc0r vs Victor | 30–29 | 50.85% |
| wilc0r vs Nina | 19–38 | 33.33% |
| wilc0r vs Paul | 25–27 | 48.08% |
| wilc0r vs Azucena | 24–28 | 46.15% |
| wilc0r vs Lee | 19–32 | 37.25% |
| wilc0r vs Heihachi | 26–24 | 52.00% |
| wilc0r vs Lars | 20–26 | 43.48% |
| wilc0r vs Alisa | 20–24 | 45.45% |
| wilc0r vs Anna | 21–23 | 47.73% |
| wilc0r vs Jack-8 | 20–22 | 47.62% |
| wilc0r vs Feng | 14–23 | 37.84% |
| wilc0r vs Raven | 13–20 | 39.39% |
| wilc0r vs Xiaoyu | 8–19 | 29.63% |
| wilc0r vs Leo | 10–15 | 40.00% |
| wilc0r vs Leroy | 12–11 | 52.17% |
| wilc0r vs Lidia | 13–10 | 56.52% |
| wilc0r vs Clive | 8–14 | 36.36% |
| wilc0r vs Panda | 7–11 | 38.89% |
| wilc0r vs Zafina | 9–9 | 50.00% |
| wilc0r vs Miary Zo | 12–3 | 80.00% |
| wilc0r vs Claudio | 3–10 | 23.08% |
| wilc0r vs Shaheen | 9–4 | 69.23% |
| wilc0r vs Kuma | 4–8 | 33.33% |
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.