| DonTvDinner vs Lidia | 11–11 | 50.00% |
| DonTvDinner vs Steve | 12–8 | 60.00% |
| DonTvDinner vs Kazuya | 6–11 | 35.29% |
| DonTvDinner vs Reina | 5–12 | 29.41% |
| DonTvDinner vs Hwoarang | 5–8 | 38.46% |
| DonTvDinner vs Bryan | 7–4 | 63.64% |
| DonTvDinner vs Dragunov | 4–7 | 36.36% |
| DonTvDinner vs Jin | 3–6 | 33.33% |
| DonTvDinner vs King | 0–8 | 0.00% |
| DonTvDinner vs Lars | 3–5 | 37.50% |
| DonTvDinner vs Lee | 5–3 | 62.50% |
| DonTvDinner vs Law | 4–3 | 57.14% |
| DonTvDinner vs Yoshimitsu | 4–3 | 57.14% |
| DonTvDinner vs Claudio | 1–6 | 14.29% |
| DonTvDinner vs Leroy | 2–5 | 28.57% |
| DonTvDinner vs Jun | 3–4 | 42.86% |
| DonTvDinner vs Lili | 4–2 | 66.67% |
| DonTvDinner vs Nina | 0–6 | 0.00% |
| DonTvDinner vs Kuma | 0–5–1 | 0.00% |
| DonTvDinner vs Victor | 3–3 | 50.00% |
| DonTvDinner vs Heihachi | 1–5 | 16.67% |
| DonTvDinner vs Jack-8 | 2–3 | 40.00% |
| DonTvDinner vs Alisa | 0–5 | 0.00% |
| DonTvDinner vs Eddy | 1–4 | 20.00% |
| DonTvDinner vs Xiaoyu | 3–1 | 75.00% |
| DonTvDinner vs Asuka | 0–4 | 0.00% |
| DonTvDinner vs Feng | 2–2 | 50.00% |
| DonTvDinner vs Leo | 4–0 | 100.00% |
| DonTvDinner vs Zafina | 2–2 | 50.00% |
| DonTvDinner vs Azucena | 2–2 | 50.00% |
| DonTvDinner vs Shaheen | 0–2 | 0.00% |
| DonTvDinner vs Paul | 0–1 | 0.00% |
| DonTvDinner vs Clive | 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.