| T4RN vs King | 40–61 | 39.60% |
| T4RN vs Jin | 35–63 | 35.71% |
| T4RN vs Kazuya | 43–53 | 44.79% |
| T4RN vs Bryan | 47–46 | 50.54% |
| T4RN vs Steve | 56–32 | 63.64% |
| T4RN vs Lili | 21–47 | 30.88% |
| T4RN vs Dragunov | 28–34 | 45.16% |
| T4RN vs Armor King | 27–33 | 45.00% |
| T4RN vs Reina | 18–40 | 31.03% |
| T4RN vs Asuka | 22–29 | 43.14% |
| T4RN vs Law | 11–30 | 26.83% |
| T4RN vs Hwoarang | 17–21 | 44.74% |
| T4RN vs Lidia | 13–25 | 34.21% |
| T4RN vs Devil Jin | 18–19 | 48.65% |
| T4RN vs Victor | 15–22 | 40.54% |
| T4RN vs Yoshimitsu | 16–20 | 44.44% |
| T4RN vs Paul | 15–20 | 42.86% |
| T4RN vs Miary Zo | 20–15 | 57.14% |
| T4RN vs Jun | 16–18 | 47.06% |
| T4RN vs Heihachi | 12–22 | 35.29% |
| T4RN vs Clive | 12–17 | 41.38% |
| T4RN vs Fahkumram | 10–18 | 35.71% |
| T4RN vs Lee | 7–16 | 30.43% |
| T4RN vs Eddy | 12–11 | 52.17% |
| T4RN vs Lars | 10–11 | 47.62% |
| T4RN vs Anna | 11–9 | 55.00% |
| T4RN vs Feng | 7–10 | 41.18% |
| T4RN vs Azucena | 10–7 | 58.82% |
| T4RN vs Raven | 6–11 | 35.29% |
| T4RN vs Claudio | 7–7 | 50.00% |
| T4RN vs Shaheen | 4–6 | 40.00% |
| T4RN vs Xiaoyu | 5–3 | 62.50% |
| T4RN vs Leroy | 2–6 | 25.00% |
| T4RN vs Jack-8 | 3–4 | 42.86% |
| T4RN vs Alisa | 1–6 | 14.29% |
| T4RN vs Nina | 3–4 | 42.86% |
| T4RN vs Leo | 3–3 | 50.00% |
| T4RN vs Kuma | 4–1 | 80.00% |
| T4RN vs Zafina | 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.