| Mc_Stonecold vs Feng | 2–5 | 28.57% |
| Mc_Stonecold vs Kazuya | 3–3 | 50.00% |
| Mc_Stonecold vs Hwoarang | 3–2 | 60.00% |
| Mc_Stonecold vs Clive | 1–3 | 25.00% |
| Mc_Stonecold vs Law | 2–1 | 66.67% |
| Mc_Stonecold vs King | 2–1 | 66.67% |
| Mc_Stonecold vs Bryan | 1–2 | 33.33% |
| Mc_Stonecold vs Alisa | 2–1 | 66.67% |
| Mc_Stonecold vs Xiaoyu | 2–0 | 100.00% |
| Mc_Stonecold vs Steve | 2–0 | 100.00% |
| Mc_Stonecold vs Dragunov | 0–2 | 0.00% |
| Mc_Stonecold vs Reina | 0–2 | 0.00% |
| Mc_Stonecold vs Victor | 1–1 | 50.00% |
| Mc_Stonecold vs Lili | 0–1 | 0.00% |
| Mc_Stonecold vs Zafina | 1–0 | 100.00% |
| Mc_Stonecold vs Leroy | 0–1 | 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.