| TKAFNF vs King | 25–13 | 65.79% |
| TKAFNF vs Reina | 17–8 | 68.00% |
| TKAFNF vs Hwoarang | 12–10 | 54.55% |
| TKAFNF vs Kazuya | 10–12 | 45.45% |
| TKAFNF vs Lili | 9–9 | 50.00% |
| TKAFNF vs Azucena | 8–9 | 47.06% |
| TKAFNF vs Bryan | 9–7 | 56.25% |
| TKAFNF vs Jin | 5–10 | 33.33% |
| TKAFNF vs Steve | 9–6 | 60.00% |
| TKAFNF vs Dragunov | 8–7 | 53.33% |
| TKAFNF vs Armor King | 6–9 | 40.00% |
| TKAFNF vs Law | 11–3 | 78.57% |
| TKAFNF vs Lee | 8–6 | 57.14% |
| TKAFNF vs Heihachi | 7–4 | 63.64% |
| TKAFNF vs Xiaoyu | 6–4 | 60.00% |
| TKAFNF vs Paul | 6–3 | 66.67% |
| TKAFNF vs Asuka | 5–4 | 55.56% |
| TKAFNF vs Fahkumram | 7–2 | 77.78% |
| TKAFNF vs Jack-8 | 5–2 | 71.43% |
| TKAFNF vs Shaheen | 2–5 | 28.57% |
| TKAFNF vs Devil Jin | 5–1 | 83.33% |
| TKAFNF vs Leo | 4–2 | 66.67% |
| TKAFNF vs Lars | 0–6 | 0.00% |
| TKAFNF vs Claudio | 4–2 | 66.67% |
| TKAFNF vs Jun | 6–0 | 100.00% |
| TKAFNF vs Yoshimitsu | 2–3 | 40.00% |
| TKAFNF vs Feng | 2–3 | 40.00% |
| TKAFNF vs Victor | 2–3 | 40.00% |
| TKAFNF vs Alisa | 1–3 | 25.00% |
| TKAFNF vs Nina | 4–0 | 100.00% |
| TKAFNF vs Anna | 2–2 | 50.00% |
| TKAFNF vs Miary Zo | 3–1 | 75.00% |
| TKAFNF vs Leroy | 2–1 | 66.67% |
| TKAFNF vs Raven | 1–2 | 33.33% |
| TKAFNF vs Clive | 2–1 | 66.67% |
| TKAFNF vs Kuma | 2–0 | 100.00% |
| TKAFNF vs Eddy | 1–1 | 50.00% |
| TKAFNF vs Lidia | 0–2 | 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.