| KTWN vs Reina | 16–24 | 40.00% |
| KTWN vs Kazuya | 17–19 | 47.22% |
| KTWN vs Steve | 16–17 | 48.48% |
| KTWN vs Hwoarang | 15–16 | 48.39% |
| KTWN vs Paul | 13–17 | 43.33% |
| KTWN vs King | 19–11 | 63.33% |
| KTWN vs Nina | 14–10 | 58.33% |
| KTWN vs Jun | 11–13 | 45.83% |
| KTWN vs Heihachi | 9–13 | 40.91% |
| KTWN vs Law | 10–11 | 47.62% |
| KTWN vs Dragunov | 12–9 | 57.14% |
| KTWN vs Clive | 13–8 | 61.90% |
| KTWN vs Bryan | 9–11 | 45.00% |
| KTWN vs Lili | 11–9 | 55.00% |
| KTWN vs Lidia | 15–5 | 75.00% |
| KTWN vs Jin | 11–8 | 57.89% |
| KTWN vs Lee | 8–8 | 50.00% |
| KTWN vs Azucena | 11–5 | 68.75% |
| KTWN vs Yoshimitsu | 3–11 | 21.43% |
| KTWN vs Feng | 4–9 | 30.77% |
| KTWN vs Eddy | 10–3 | 76.92% |
| KTWN vs Claudio | 6–6 | 50.00% |
| KTWN vs Asuka | 7–3 | 70.00% |
| KTWN vs Lars | 3–7 | 30.00% |
| KTWN vs Kuma | 6–4 | 60.00% |
| KTWN vs Fahkumram | 8–2 | 80.00% |
| KTWN vs Xiaoyu | 6–3 | 66.67% |
| KTWN vs Victor | 3–5 | 37.50% |
| KTWN vs Anna | 1–7 | 12.50% |
| KTWN vs Leo | 4–3 | 57.14% |
| KTWN vs Armor King | 6–1 | 85.71% |
| KTWN vs Devil Jin | 1–5 | 16.67% |
| KTWN vs Alisa | 4–2 | 66.67% |
| KTWN vs Leroy | 5–1 | 83.33% |
| KTWN vs Jack-8 | 3–2 | 60.00% |
| KTWN vs Shaheen | 3–2 | 60.00% |
| KTWN vs Panda | 4–1 | 80.00% |
| KTWN vs Zafina | 2–2 | 50.00% |
| KTWN vs Miary Zo | 3–0 | 100.00% |
| KTWN vs Raven | 1–1 | 50.00% |
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.