| Waffle-Ling vs King | 27–33 | 45.00% |
| Waffle-Ling vs Jin | 30–29 | 50.85% |
| Waffle-Ling vs Kazuya | 23–29 | 44.23% |
| Waffle-Ling vs Law | 22–21 | 51.16% |
| Waffle-Ling vs Heihachi | 18–22 | 45.00% |
| Waffle-Ling vs Hwoarang | 26–12 | 68.42% |
| Waffle-Ling vs Bryan | 16–21 | 43.24% |
| Waffle-Ling vs Steve | 18–15 | 54.55% |
| Waffle-Ling vs Dragunov | 15–14 | 51.72% |
| Waffle-Ling vs Xiaoyu | 13–15 | 46.43% |
| Waffle-Ling vs Lidia | 12–15 | 44.44% |
| Waffle-Ling vs Lili | 12–13 | 48.00% |
| Waffle-Ling vs Azucena | 15–10 | 60.00% |
| Waffle-Ling vs Eddy | 10–15 | 40.00% |
| Waffle-Ling vs Paul | 13–11 | 54.17% |
| Waffle-Ling vs Victor | 9–13 | 40.91% |
| Waffle-Ling vs Clive | 9–13 | 40.91% |
| Waffle-Ling vs Miary Zo | 5–17 | 22.73% |
| Waffle-Ling vs Leo | 12–9 | 57.14% |
| Waffle-Ling vs Armor King | 10–11 | 47.62% |
| Waffle-Ling vs Yoshimitsu | 13–7 | 65.00% |
| Waffle-Ling vs Nina | 9–10 | 47.37% |
| Waffle-Ling vs Lee | 9–10 | 47.37% |
| Waffle-Ling vs Reina | 9–10 | 47.37% |
| Waffle-Ling vs Jun | 11–4 | 73.33% |
| Waffle-Ling vs Anna | 9–6 | 60.00% |
| Waffle-Ling vs Raven | 8–6 | 57.14% |
| Waffle-Ling vs Asuka | 7–6 | 53.85% |
| Waffle-Ling vs Lars | 7–6 | 53.85% |
| Waffle-Ling vs Claudio | 8–5 | 61.54% |
| Waffle-Ling vs Jack-8 | 4–8 | 33.33% |
| Waffle-Ling vs Alisa | 4–8 | 33.33% |
| Waffle-Ling vs Kuma | 3–9 | 25.00% |
| Waffle-Ling vs Feng | 4–6 | 40.00% |
| Waffle-Ling vs Devil Jin | 3–5 | 37.50% |
| Waffle-Ling vs Shaheen | 4–4 | 50.00% |
| Waffle-Ling vs Fahkumram | 1–4 | 20.00% |
| Waffle-Ling vs Leroy | 0–2 | 0.00% |
| Waffle-Ling 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.