| Thug_shaker_445 vs King | 19–42 | 31.15% |
| Thug_shaker_445 vs Kazuya | 14–34 | 29.17% |
| Thug_shaker_445 vs Steve | 18–30 | 37.50% |
| Thug_shaker_445 vs Dragunov | 7–35 | 16.67% |
| Thug_shaker_445 vs Law | 10–29 | 25.64% |
| Thug_shaker_445 vs Jin | 12–23 | 34.29% |
| Thug_shaker_445 vs Reina | 14–20 | 41.18% |
| Thug_shaker_445 vs Jun | 11–18 | 37.93% |
| Thug_shaker_445 vs Lili | 8–18 | 30.77% |
| Thug_shaker_445 vs Yoshimitsu | 8–14 | 36.36% |
| Thug_shaker_445 vs Azucena | 7–15 | 31.82% |
| Thug_shaker_445 vs Hwoarang | 6–15 | 28.57% |
| Thug_shaker_445 vs Asuka | 9–12 | 42.86% |
| Thug_shaker_445 vs Paul | 7–11 | 38.89% |
| Thug_shaker_445 vs Claudio | 5–13 | 27.78% |
| Thug_shaker_445 vs Lidia | 7–11 | 38.89% |
| Thug_shaker_445 vs Xiaoyu | 7–10 | 41.18% |
| Thug_shaker_445 vs Victor | 6–11 | 35.29% |
| Thug_shaker_445 vs Heihachi | 6–11 | 35.29% |
| Thug_shaker_445 vs Lars | 4–12 | 25.00% |
| Thug_shaker_445 vs Eddy | 6–10 | 37.50% |
| Thug_shaker_445 vs Clive | 7–8 | 46.67% |
| Thug_shaker_445 vs Alisa | 5–9 | 35.71% |
| Thug_shaker_445 vs Nina | 6–8 | 42.86% |
| Thug_shaker_445 vs Devil Jin | 6–7 | 46.15% |
| Thug_shaker_445 vs Leo | 7–6 | 53.85% |
| Thug_shaker_445 vs Bryan | 2–9 | 18.18% |
| Thug_shaker_445 vs Jack-8 | 2–7 | 22.22% |
| Thug_shaker_445 vs Leroy | 2–7 | 22.22% |
| Thug_shaker_445 vs Feng | 3–3 | 50.00% |
| Thug_shaker_445 vs Lee | 0–6 | 0.00% |
| Thug_shaker_445 vs Raven | 6–0 | 100.00% |
| Thug_shaker_445 vs Shaheen | 0–4 | 0.00% |
| Thug_shaker_445 vs Panda | 1–2 | 33.33% |
| Thug_shaker_445 vs Anna | 0–2 | 0.00% |
| Thug_shaker_445 vs Fahkumram | 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.