| $waggerless vs Eddy | 9–22 | 29.03% |
| $waggerless vs King | 13–11 | 54.17% |
| $waggerless vs Law | 6–14 | 30.00% |
| $waggerless vs Reina | 8–12 | 40.00% |
| $waggerless vs Yoshimitsu | 11–8 | 57.89% |
| $waggerless vs Jin | 11–8 | 57.89% |
| $waggerless vs Jun | 8–10 | 44.44% |
| $waggerless vs Steve | 12–5 | 70.59% |
| $waggerless vs Bryan | 9–7 | 56.25% |
| $waggerless vs Hwoarang | 7–8 | 46.67% |
| $waggerless vs Lili | 12–3 | 80.00% |
| $waggerless vs Kazuya | 8–4 | 66.67% |
| $waggerless vs Asuka | 2–10 | 16.67% |
| $waggerless vs Dragunov | 7–5 | 58.33% |
| $waggerless vs Paul | 5–5 | 50.00% |
| $waggerless vs Alisa | 8–2 | 80.00% |
| $waggerless vs Azucena | 3–7 | 30.00% |
| $waggerless vs Leo | 7–2 | 77.78% |
| $waggerless vs Jack-8 | 2–6 | 25.00% |
| $waggerless vs Devil Jin | 5–3 | 62.50% |
| $waggerless vs Lars | 7–1 | 87.50% |
| $waggerless vs Kuma | 2–6 | 25.00% |
| $waggerless vs Xiaoyu | 5–1 | 83.33% |
| $waggerless vs Feng | 1–5 | 16.67% |
| $waggerless vs Shaheen | 2–4 | 33.33% |
| $waggerless vs Leroy | 3–3 | 50.00% |
| $waggerless vs Claudio | 2–3 | 40.00% |
| $waggerless vs Lee | 4–1 | 80.00% |
| $waggerless vs Victor | 2–2 | 50.00% |
| $waggerless vs Raven | 2–2 | 50.00% |
| $waggerless vs Nina | 2–0 | 100.00% |
| $waggerless vs Zafina | 0–2 | 0.00% |
| $waggerless 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.