| LaffyTaffy vs King | 21–11 | 65.62% |
| LaffyTaffy vs Bryan | 12–15 | 44.44% |
| LaffyTaffy vs Law | 14–8 | 63.64% |
| LaffyTaffy vs Jin | 8–13 | 38.10% |
| LaffyTaffy vs Paul | 8–11 | 42.11% |
| LaffyTaffy vs Kazuya | 7–11 | 38.89% |
| LaffyTaffy vs Lee | 8–10 | 44.44% |
| LaffyTaffy vs Xiaoyu | 10–7 | 58.82% |
| LaffyTaffy vs Jun | 7–10 | 41.18% |
| LaffyTaffy vs Fahkumram | 9–7 | 56.25% |
| LaffyTaffy vs Lili | 8–5 | 61.54% |
| LaffyTaffy vs Leroy | 8–5 | 61.54% |
| LaffyTaffy vs Azucena | 8–5 | 61.54% |
| LaffyTaffy vs Steve | 9–3 | 75.00% |
| LaffyTaffy vs Asuka | 5–7 | 41.67% |
| LaffyTaffy vs Leo | 6–5 | 54.55% |
| LaffyTaffy vs Lars | 9–2 | 81.82% |
| LaffyTaffy vs Reina | 8–3 | 72.73% |
| LaffyTaffy vs Anna | 6–5 | 54.55% |
| LaffyTaffy vs Miary Zo | 7–4 | 63.64% |
| LaffyTaffy vs Eddy | 8–2 | 80.00% |
| LaffyTaffy vs Lidia | 5–5 | 50.00% |
| LaffyTaffy vs Clive | 6–4 | 60.00% |
| LaffyTaffy vs Armor King | 6–4 | 60.00% |
| LaffyTaffy vs Heihachi | 4–4 | 50.00% |
| LaffyTaffy vs Jack-8 | 2–5 | 28.57% |
| LaffyTaffy vs Yoshimitsu | 3–3 | 50.00% |
| LaffyTaffy vs Hwoarang | 4–2 | 66.67% |
| LaffyTaffy vs Feng | 4–2 | 66.67% |
| LaffyTaffy vs Dragunov | 2–3 | 40.00% |
| LaffyTaffy vs Shaheen | 2–3 | 40.00% |
| LaffyTaffy vs Nina | 4–1 | 80.00% |
| LaffyTaffy vs Raven | 3–2 | 60.00% |
| LaffyTaffy vs Victor | 3–1 | 75.00% |
| LaffyTaffy vs Kuma | 0–3 | 0.00% |
| LaffyTaffy vs Alisa | 2–0 | 100.00% |
| LaffyTaffy vs Claudio | 0–2 | 0.00% |
| LaffyTaffy vs Panda | 2–0 | 100.00% |
| LaffyTaffy vs Devil Jin | 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.