| Wafflehouse vs Hwoarang | 12–7 | 63.16% |
| Wafflehouse vs Jin | 8–11 | 42.11% |
| Wafflehouse vs Reina | 14–4 | 77.78% |
| Wafflehouse vs Law | 8–8 | 50.00% |
| Wafflehouse vs King | 8–8 | 50.00% |
| Wafflehouse vs Lili | 10–6 | 62.50% |
| Wafflehouse vs Leroy | 9–4 | 69.23% |
| Wafflehouse vs Heihachi | 6–7 | 46.15% |
| Wafflehouse vs Fahkumram | 1–9 | 10.00% |
| Wafflehouse vs Yoshimitsu | 6–3 | 66.67% |
| Wafflehouse vs Xiaoyu | 5–4 | 55.56% |
| Wafflehouse vs Lars | 3–6 | 33.33% |
| Wafflehouse vs Lidia | 1–8 | 11.11% |
| Wafflehouse vs Paul | 4–4 | 50.00% |
| Wafflehouse vs Dragunov | 4–4 | 50.00% |
| Wafflehouse vs Leo | 3–5 | 37.50% |
| Wafflehouse vs Anna | 7–1 | 87.50% |
| Wafflehouse vs Bryan | 1–6 | 14.29% |
| Wafflehouse vs Steve | 5–2 | 71.43% |
| Wafflehouse vs Lee | 3–4 | 42.86% |
| Wafflehouse vs Kuma | 3–4 | 42.86% |
| Wafflehouse vs Victor | 4–3 | 57.14% |
| Wafflehouse vs Clive | 2–5 | 28.57% |
| Wafflehouse vs Nina | 2–4 | 33.33% |
| Wafflehouse vs Azucena | 6–0 | 100.00% |
| Wafflehouse vs Feng | 2–2 | 50.00% |
| Wafflehouse vs Alisa | 3–1 | 75.00% |
| Wafflehouse vs Kazuya | 1–2 | 33.33% |
| Wafflehouse vs Asuka | 2–1 | 66.67% |
| Wafflehouse vs Jun | 2–1 | 66.67% |
| Wafflehouse vs Raven | 2–1 | 66.67% |
| Wafflehouse vs Jack-8 | 0–1 | 0.00% |
| Wafflehouse vs Shaheen | 0–1 | 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.