| Tom_Riddle vs King | 83–58 | 58.87% |
| Tom_Riddle vs Kazuya | 73–56 | 56.59% |
| Tom_Riddle vs Jin | 71–47 | 60.17% |
| Tom_Riddle vs Bryan | 34–49 | 40.96% |
| Tom_Riddle vs Dragunov | 39–38 | 50.65% |
| Tom_Riddle vs Paul | 31–39 | 44.29% |
| Tom_Riddle vs Law | 37–32 | 53.62% |
| Tom_Riddle vs Heihachi | 36–32 | 52.94% |
| Tom_Riddle vs Steve | 33–32 | 50.77% |
| Tom_Riddle vs Reina | 42–22 | 65.62% |
| Tom_Riddle vs Hwoarang | 32–22 | 59.26% |
| Tom_Riddle vs Lee | 16–34 | 32.00% |
| Tom_Riddle vs Lili | 30–14 | 68.18% |
| Tom_Riddle vs Victor | 27–17 | 61.36% |
| Tom_Riddle vs Devil Jin | 27–11 | 71.05% |
| Tom_Riddle vs Lars | 16–22 | 42.11% |
| Tom_Riddle vs Nina | 16–22 | 42.11% |
| Tom_Riddle vs Yoshimitsu | 15–21 | 41.67% |
| Tom_Riddle vs Azucena | 12–21 | 36.36% |
| Tom_Riddle vs Shaheen | 13–15 | 46.43% |
| Tom_Riddle vs Jun | 10–18 | 35.71% |
| Tom_Riddle vs Feng | 14–12 | 53.85% |
| Tom_Riddle vs Xiaoyu | 11–12 | 47.83% |
| Tom_Riddle vs Asuka | 10–12 | 45.45% |
| Tom_Riddle vs Fahkumram | 10–12 | 45.45% |
| Tom_Riddle vs Alisa | 8–11 | 42.11% |
| Tom_Riddle vs Eddy | 8–11 | 42.11% |
| Tom_Riddle vs Kuma | 9–7 | 56.25% |
| Tom_Riddle vs Leo | 9–4 | 69.23% |
| Tom_Riddle vs Leroy | 9–4 | 69.23% |
| Tom_Riddle vs Clive | 8–5 | 61.54% |
| Tom_Riddle vs Jack-8 | 7–4 | 63.64% |
| Tom_Riddle vs Claudio | 4–7 | 36.36% |
| Tom_Riddle vs Zafina | 8–3 | 72.73% |
| Tom_Riddle vs Anna | 4–6 | 40.00% |
| Tom_Riddle vs Raven | 4–5 | 44.44% |
| Tom_Riddle vs Panda | 3–2 | 60.00% |
| Tom_Riddle vs Lidia | 0–3 | 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.