| TomLeLego vs Eddy | 31–17 | 64.58% |
| TomLeLego vs Kazuya | 28–18 | 60.87% |
| TomLeLego vs Reina | 20–25 | 44.44% |
| TomLeLego vs Dragunov | 16–24 | 40.00% |
| TomLeLego vs King | 17–20 | 45.95% |
| TomLeLego vs Yoshimitsu | 17–17 | 50.00% |
| TomLeLego vs Lee | 14–18 | 43.75% |
| TomLeLego vs Jin | 13–17 | 43.33% |
| TomLeLego vs Bryan | 17–12 | 58.62% |
| TomLeLego vs Hwoarang | 15–11 | 57.69% |
| TomLeLego vs Lili | 13–9 | 59.09% |
| TomLeLego vs Xiaoyu | 14–7 | 66.67% |
| TomLeLego vs Paul | 11–9 | 55.00% |
| TomLeLego vs Steve | 14–5 | 73.68% |
| TomLeLego vs Asuka | 11–8 | 57.89% |
| TomLeLego vs Alisa | 13–6 | 68.42% |
| TomLeLego vs Law | 10–8 | 55.56% |
| TomLeLego vs Claudio | 11–7 | 61.11% |
| TomLeLego vs Feng | 3–14 | 17.65% |
| TomLeLego vs Devil Jin | 11–4 | 73.33% |
| TomLeLego vs Nina | 12–3 | 80.00% |
| TomLeLego vs Kuma | 7–5 | 58.33% |
| TomLeLego vs Azucena | 9–3 | 75.00% |
| TomLeLego vs Lars | 6–5 | 54.55% |
| TomLeLego vs Jun | 4–6 | 40.00% |
| TomLeLego vs Victor | 4–6 | 40.00% |
| TomLeLego vs Leo | 4–5 | 44.44% |
| TomLeLego vs Shaheen | 3–4 | 42.86% |
| TomLeLego vs Zafina | 3–4 | 42.86% |
| TomLeLego vs Raven | 6–0 | 100.00% |
| TomLeLego vs Clive | 3–3 | 50.00% |
| TomLeLego vs Jack-8 | 4–1 | 80.00% |
| TomLeLego vs Leroy | 4–1 | 80.00% |
| TomLeLego vs Lidia | 0–4 | 0.00% |
| TomLeLego vs Panda | 1–2 | 33.33% |
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.