| sha_s vs Miary Zo | 23–38 | 37.70% |
| sha_s vs King | 30–23 | 56.60% |
| sha_s vs Kazuya | 7–37 | 15.91% |
| sha_s vs Bryan | 18–24 | 42.86% |
| sha_s vs Reina | 21–21 | 50.00% |
| sha_s vs Dragunov | 17–19 | 47.22% |
| sha_s vs Paul | 14–20 | 41.18% |
| sha_s vs Jin | 17–13 | 56.67% |
| sha_s vs Hwoarang | 12–17 | 41.38% |
| sha_s vs Steve | 9–19 | 32.14% |
| sha_s vs Fahkumram | 9–15 | 37.50% |
| sha_s vs Asuka | 14–9 | 60.87% |
| sha_s vs Jun | 6–17 | 26.09% |
| sha_s vs Victor | 13–8 | 61.90% |
| sha_s vs Armor King | 9–11 | 45.00% |
| sha_s vs Azucena | 8–10 | 44.44% |
| sha_s vs Law | 6–11 | 35.29% |
| sha_s vs Lili | 6–10 | 37.50% |
| sha_s vs Claudio | 4–11 | 26.67% |
| sha_s vs Nina | 7–8 | 46.67% |
| sha_s vs Heihachi | 6–9 | 40.00% |
| sha_s vs Feng | 1–10 | 9.09% |
| sha_s vs Lee | 2–9 | 18.18% |
| sha_s vs Yoshimitsu | 0–10 | 0.00% |
| sha_s vs Leroy | 6–4 | 60.00% |
| sha_s vs Jack-8 | 2–7 | 22.22% |
| sha_s vs Alisa | 1–8 | 11.11% |
| sha_s vs Leo | 4–3 | 57.14% |
| sha_s vs Lars | 1–6 | 14.29% |
| sha_s vs Clive | 0–7 | 0.00% |
| sha_s vs Devil Jin | 2–3 | 40.00% |
| sha_s vs Zafina | 0–5 | 0.00% |
| sha_s vs Anna | 1–4 | 20.00% |
| sha_s vs Panda | 2–2 | 50.00% |
| sha_s vs Raven | 1–3 | 25.00% |
| sha_s vs Xiaoyu | 0–3 | 0.00% |
| sha_s vs Lidia | 0–3 | 0.00% |
| sha_s vs Kuma | 2–0 | 100.00% |
| sha_s vs Eddy | 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.