| Wheels92 vs King | 57–63 | 47.50% |
| Wheels92 vs Jin | 44–48 | 47.83% |
| Wheels92 vs Kazuya | 47–41 | 53.41% |
| Wheels92 vs Law | 35–48 | 42.17% |
| Wheels92 vs Hwoarang | 38–44 | 46.34% |
| Wheels92 vs Bryan | 37–43 | 46.25% |
| Wheels92 vs Steve | 35–42 | 45.45% |
| Wheels92 vs Lili | 26–37 | 41.27% |
| Wheels92 vs Reina | 30–29 | 50.85% |
| Wheels92 vs Jun | 23–30 | 43.40% |
| Wheels92 vs Dragunov | 21–29 | 42.00% |
| Wheels92 vs Heihachi | 21–29 | 42.00% |
| Wheels92 vs Eddy | 22–27 | 44.90% |
| Wheels92 vs Armor King | 22–23 | 48.89% |
| Wheels92 vs Clive | 14–27 | 34.15% |
| Wheels92 vs Paul | 11–29 | 27.50% |
| Wheels92 vs Azucena | 21–17 | 55.26% |
| Wheels92 vs Asuka | 20–15 | 57.14% |
| Wheels92 vs Yoshimitsu | 19–15 | 55.88% |
| Wheels92 vs Shaheen | 16–17 | 48.48% |
| Wheels92 vs Lars | 9–22 | 29.03% |
| Wheels92 vs Leroy | 15–15 | 50.00% |
| Wheels92 vs Nina | 12–17 | 41.38% |
| Wheels92 vs Fahkumram | 17–12 | 58.62% |
| Wheels92 vs Victor | 12–16 | 42.86% |
| Wheels92 vs Lee | 9–16 | 36.00% |
| Wheels92 vs Xiaoyu | 8–16 | 33.33% |
| Wheels92 vs Lidia | 10–12 | 45.45% |
| Wheels92 vs Jack-8 | 8–13 | 38.10% |
| Wheels92 vs Alisa | 8–11 | 42.11% |
| Wheels92 vs Feng | 4–14 | 22.22% |
| Wheels92 vs Kuma | 5–13 | 27.78% |
| Wheels92 vs Devil Jin | 2–15 | 11.76% |
| Wheels92 vs Anna | 12–3 | 80.00% |
| Wheels92 vs Raven | 6–8 | 42.86% |
| Wheels92 vs Leo | 5–7 | 41.67% |
| Wheels92 vs Zafina | 5–5 | 50.00% |
| Wheels92 vs Miary Zo | 5–5 | 50.00% |
| Wheels92 vs Claudio | 3–3 | 50.00% |
| Wheels92 vs Panda | 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.