| T3KKEN vs King | 21–16 | 56.76% |
| T3KKEN vs Jin | 15–22 | 40.54% |
| T3KKEN vs Kazuya | 13–15 | 46.43% |
| T3KKEN vs Steve | 16–10 | 61.54% |
| T3KKEN vs Jun | 15–11 | 57.69% |
| T3KKEN vs Hwoarang | 7–16 | 30.43% |
| T3KKEN vs Law | 11–11 | 50.00% |
| T3KKEN vs Yoshimitsu | 10–11 | 47.62% |
| T3KKEN vs Reina | 12–9 | 57.14% |
| T3KKEN vs Paul | 8–7 | 53.33% |
| T3KKEN vs Bryan | 4–10 | 28.57% |
| T3KKEN vs Azucena | 8–6 | 57.14% |
| T3KKEN vs Dragunov | 7–5 | 58.33% |
| T3KKEN vs Devil Jin | 7–3 | 70.00% |
| T3KKEN vs Lili | 7–3 | 70.00% |
| T3KKEN vs Alisa | 6–3 | 66.67% |
| T3KKEN vs Heihachi | 4–5 | 44.44% |
| T3KKEN vs Lars | 1–7 | 12.50% |
| T3KKEN vs Victor | 2–6 | 25.00% |
| T3KKEN vs Eddy | 2–6 | 25.00% |
| T3KKEN vs Nina | 4–3 | 57.14% |
| T3KKEN vs Fahkumram | 1–6 | 14.29% |
| T3KKEN vs Feng | 1–5 | 16.67% |
| T3KKEN vs Claudio | 3–3 | 50.00% |
| T3KKEN vs Lee | 2–3 | 40.00% |
| T3KKEN vs Kuma | 4–1 | 80.00% |
| T3KKEN vs Clive | 0–4 | 0.00% |
| T3KKEN vs Xiaoyu | 2–1 | 66.67% |
| T3KKEN vs Asuka | 0–3 | 0.00% |
| T3KKEN vs Leo | 2–1 | 66.67% |
| T3KKEN vs Leroy | 1–2 | 33.33% |
| T3KKEN vs Zafina | 1–1 | 50.00% |
| T3KKEN vs Lidia | 2–0 | 100.00% |
| T3KKEN vs Jack-8 | 1–0 | 100.00% |
| T3KKEN vs Shaheen | 0–1 | 0.00% |
| T3KKEN vs Panda | 0–1 | 0.00% |
| T3KKEN vs Raven | 1–0 | 100.00% |
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.