| Waffz vs Steve | 20–18 | 52.63% |
| Waffz vs Law | 21–13 | 61.76% |
| Waffz vs Hwoarang | 14–20 | 41.18% |
| Waffz vs Jin | 11–22 | 33.33% |
| Waffz vs Kazuya | 16–17 | 48.48% |
| Waffz vs King | 8–22 | 26.67% |
| Waffz vs Lili | 6–23 | 20.69% |
| Waffz vs Eddy | 7–21 | 25.00% |
| Waffz vs Heihachi | 14–12 | 53.85% |
| Waffz vs Fahkumram | 8–16 | 33.33% |
| Waffz vs Dragunov | 13–9 | 59.09% |
| Waffz vs Devil Jin | 10–10 | 50.00% |
| Waffz vs Azucena | 14–5 | 73.68% |
| Waffz vs Reina | 8–10 | 44.44% |
| Waffz vs Bryan | 5–11 | 31.25% |
| Waffz vs Yoshimitsu | 6–9 | 40.00% |
| Waffz vs Asuka | 9–6 | 60.00% |
| Waffz vs Feng | 2–13 | 13.33% |
| Waffz vs Lee | 8–7 | 53.33% |
| Waffz vs Victor | 9–6 | 60.00% |
| Waffz vs Leo | 6–8 | 42.86% |
| Waffz vs Jun | 4–9 | 30.77% |
| Waffz vs Paul | 3–6 | 33.33% |
| Waffz vs Nina | 5–4 | 55.56% |
| Waffz vs Raven | 3–6 | 33.33% |
| Waffz vs Xiaoyu | 2–6 | 25.00% |
| Waffz vs Clive | 3–4 | 42.86% |
| Waffz vs Anna | 2–5 | 28.57% |
| Waffz vs Armor King | 0–6 | 0.00% |
| Waffz vs Lars | 3–2 | 60.00% |
| Waffz vs Kuma | 3–2 | 60.00% |
| Waffz vs Panda | 0–5 | 0.00% |
| Waffz vs Leroy | 2–3 | 40.00% |
| Waffz vs Lidia | 2–3 | 40.00% |
| Waffz vs Jack-8 | 2–2 | 50.00% |
| Waffz vs Alisa | 0–4 | 0.00% |
| Waffz vs Zafina | 3–0 | 100.00% |
| Waffz vs Shaheen | 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.