| TaReLkA4 vs Law | 11–21 | 34.38% |
| TaReLkA4 vs Kazuya | 14–17 | 45.16% |
| TaReLkA4 vs Jin | 13–12 | 52.00% |
| TaReLkA4 vs Miary Zo | 9–15 | 37.50% |
| TaReLkA4 vs Dragunov | 18–5 | 78.26% |
| TaReLkA4 vs Paul | 11–10 | 52.38% |
| TaReLkA4 vs Hwoarang | 8–12 | 40.00% |
| TaReLkA4 vs Bryan | 7–12 | 36.84% |
| TaReLkA4 vs Feng | 9–8 | 52.94% |
| TaReLkA4 vs Armor King | 8–8 | 50.00% |
| TaReLkA4 vs Steve | 7–8 | 46.67% |
| TaReLkA4 vs Lili | 12–3 | 80.00% |
| TaReLkA4 vs Fahkumram | 5–9 | 35.71% |
| TaReLkA4 vs King | 7–6 | 53.85% |
| TaReLkA4 vs Lars | 7–5 | 58.33% |
| TaReLkA4 vs Eddy | 5–6 | 45.45% |
| TaReLkA4 vs Jun | 7–3 | 70.00% |
| TaReLkA4 vs Azucena | 8–1 | 88.89% |
| TaReLkA4 vs Victor | 4–5 | 44.44% |
| TaReLkA4 vs Asuka | 5–3 | 62.50% |
| TaReLkA4 vs Claudio | 5–3 | 62.50% |
| TaReLkA4 vs Anna | 4–4 | 50.00% |
| TaReLkA4 vs Devil Jin | 4–3 | 57.14% |
| TaReLkA4 vs Yoshimitsu | 5–1 | 83.33% |
| TaReLkA4 vs Lee | 2–4 | 33.33% |
| TaReLkA4 vs Heihachi | 3–3 | 50.00% |
| TaReLkA4 vs Leroy | 3–2 | 60.00% |
| TaReLkA4 vs Reina | 1–4 | 20.00% |
| TaReLkA4 vs Alisa | 1–3 | 25.00% |
| TaReLkA4 vs Clive | 2–2 | 50.00% |
| TaReLkA4 vs Xiaoyu | 1–2 | 33.33% |
| TaReLkA4 vs Jack-8 | 2–1 | 66.67% |
| TaReLkA4 vs Leo | 1–2 | 33.33% |
| TaReLkA4 vs Shaheen | 2–1 | 66.67% |
| TaReLkA4 vs Zafina | 2–0 | 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.