| WavedashFailure vs Kazuya | 26–25 | 50.98% |
| WavedashFailure vs King | 26–15 | 63.41% |
| WavedashFailure vs Jin | 21–18 | 53.85% |
| WavedashFailure vs Reina | 12–25 | 32.43% |
| WavedashFailure vs Heihachi | 17–18 | 48.57% |
| WavedashFailure vs Bryan | 18–14 | 56.25% |
| WavedashFailure vs Paul | 13–16 | 44.83% |
| WavedashFailure vs Hwoarang | 19–10 | 65.52% |
| WavedashFailure vs Lee | 17–8 | 68.00% |
| WavedashFailure vs Asuka | 10–13 | 43.48% |
| WavedashFailure vs Law | 12–10 | 54.55% |
| WavedashFailure vs Dragunov | 11–10 | 52.38% |
| WavedashFailure vs Steve | 13–7 | 65.00% |
| WavedashFailure vs Lidia | 10–10 | 50.00% |
| WavedashFailure vs Clive | 9–11 | 45.00% |
| WavedashFailure vs Devil Jin | 8–11 | 42.11% |
| WavedashFailure vs Lili | 14–5 | 73.68% |
| WavedashFailure vs Jun | 9–8 | 52.94% |
| WavedashFailure vs Azucena | 5–11 | 31.25% |
| WavedashFailure vs Victor | 7–9 | 43.75% |
| WavedashFailure vs Yoshimitsu | 10–4 | 71.43% |
| WavedashFailure vs Leo | 8–6 | 57.14% |
| WavedashFailure vs Jack-8 | 4–9 | 30.77% |
| WavedashFailure vs Eddy | 4–7 | 36.36% |
| WavedashFailure vs Xiaoyu | 6–3 | 66.67% |
| WavedashFailure vs Anna | 5–4 | 55.56% |
| WavedashFailure vs Lars | 2–6 | 25.00% |
| WavedashFailure vs Alisa | 6–2 | 75.00% |
| WavedashFailure vs Nina | 3–5 | 37.50% |
| WavedashFailure vs Leroy | 4–4 | 50.00% |
| WavedashFailure vs Kuma | 4–3 | 57.14% |
| WavedashFailure vs Raven | 6–1 | 85.71% |
| WavedashFailure vs Shaheen | 5–1 | 83.33% |
| WavedashFailure vs Feng | 1–4 | 20.00% |
| WavedashFailure vs Claudio | 1–1 | 50.00% |
| WavedashFailure vs Panda | 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.