| waffles vs King | 24–20 | 54.55% |
| waffles vs Jin | 22–22 | 50.00% |
| waffles vs Kazuya | 21–17 | 55.26% |
| waffles vs Bryan | 22–11 | 66.67% |
| waffles vs Clive | 22–7 | 75.86% |
| waffles vs Reina | 18–9 | 66.67% |
| waffles vs Steve | 13–12 | 52.00% |
| waffles vs Lili | 9–12 | 42.86% |
| waffles vs Yoshimitsu | 11–9 | 55.00% |
| waffles vs Hwoarang | 13–7 | 65.00% |
| waffles vs Devil Jin | 10–10 | 50.00% |
| waffles vs Lars | 8–12 | 40.00% |
| waffles vs Dragunov | 13–6 | 68.42% |
| waffles vs Paul | 10–7 | 58.82% |
| waffles vs Lee | 10–6 | 62.50% |
| waffles vs Eddy | 10–5 | 66.67% |
| waffles vs Fahkumram | 11–4 | 73.33% |
| waffles vs Law | 9–5 | 64.29% |
| waffles vs Asuka | 8–5 | 61.54% |
| waffles vs Jun | 11–2 | 84.62% |
| waffles vs Victor | 7–6 | 53.85% |
| waffles vs Nina | 6–6 | 50.00% |
| waffles vs Azucena | 10–2 | 83.33% |
| waffles vs Leo | 3–6 | 33.33% |
| waffles vs Claudio | 2–6 | 25.00% |
| waffles vs Xiaoyu | 3–4 | 42.86% |
| waffles vs Alisa | 4–3 | 57.14% |
| waffles vs Jack-8 | 5–1 | 83.33% |
| waffles vs Feng | 5–0 | 100.00% |
| waffles vs Raven | 1–4 | 20.00% |
| waffles vs Leroy | 2–2 | 50.00% |
| waffles vs Kuma | 1–2 | 33.33% |
| waffles vs Zafina | 0–3 | 0.00% |
| waffles vs Shaheen | 0–2 | 0.00% |
| waffles vs Lidia | 1–1 | 50.00% |
| waffles vs Heihachi | 2–0 | 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.