| SMASHER vs Clive | 32–44 | 42.11% |
| SMASHER vs Bryan | 24–51 | 32.00% |
| SMASHER vs Steve | 38–30 | 55.88% |
| SMASHER vs Kazuya | 27–39 | 40.91% |
| SMASHER vs Jin | 31–32 | 49.21% |
| SMASHER vs King | 15–39 | 27.78% |
| SMASHER vs Law | 23–14 | 62.16% |
| SMASHER vs Reina | 14–20 | 41.18% |
| SMASHER vs Dragunov | 13–18 | 41.94% |
| SMASHER vs Yoshimitsu | 11–18 | 37.93% |
| SMASHER vs Lili | 17–12 | 58.62% |
| SMASHER vs Jun | 14–15 | 48.28% |
| SMASHER vs Heihachi | 10–18 | 35.71% |
| SMASHER vs Nina | 8–17 | 32.00% |
| SMASHER vs Lee | 7–17 | 29.17% |
| SMASHER vs Hwoarang | 6–17 | 26.09% |
| SMASHER vs Fahkumram | 8–15 | 34.78% |
| SMASHER vs Azucena | 7–13 | 35.00% |
| SMASHER vs Paul | 7–12 | 36.84% |
| SMASHER vs Jack-8 | 11–7 | 61.11% |
| SMASHER vs Victor | 6–12 | 33.33% |
| SMASHER vs Lars | 8–8 | 50.00% |
| SMASHER vs Anna | 5–9 | 35.71% |
| SMASHER vs Xiaoyu | 3–8 | 27.27% |
| SMASHER vs Asuka | 3–8 | 27.27% |
| SMASHER vs Leo | 3–8 | 27.27% |
| SMASHER vs Claudio | 6–5 | 54.55% |
| SMASHER vs Leroy | 5–6 | 45.45% |
| SMASHER vs Eddy | 4–5 | 44.44% |
| SMASHER vs Miary Zo | 4–5 | 44.44% |
| SMASHER vs Devil Jin | 6–2 | 75.00% |
| SMASHER vs Alisa | 2–5 | 28.57% |
| SMASHER vs Zafina | 1–6 | 14.29% |
| SMASHER vs Feng | 3–3 | 50.00% |
| SMASHER vs Shaheen | 3–3 | 50.00% |
| SMASHER vs Raven | 2–4 | 33.33% |
| SMASHER vs Kuma | 1–4 | 20.00% |
| SMASHER vs Panda | 0–5 | 0.00% |
| SMASHER vs Lidia | 4–0 | 100.00% |
| SMASHER vs Armor King | 1–3 | 25.00% |
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.