| Loka vs King | 32–27 | 54.24% |
| Loka vs Jin | 19–40 | 32.20% |
| Loka vs Kazuya | 31–21 | 59.62% |
| Loka vs Eddy | 17–26 | 39.53% |
| Loka vs Reina | 21–17 | 55.26% |
| Loka vs Steve | 22–13 | 62.86% |
| Loka vs Dragunov | 15–19 | 44.12% |
| Loka vs Lars | 15–19 | 44.12% |
| Loka vs Victor | 13–20 | 39.39% |
| Loka vs Azucena | 11–20 | 35.48% |
| Loka vs Hwoarang | 9–19 | 32.14% |
| Loka vs Law | 13–12 | 52.00% |
| Loka vs Bryan | 10–15 | 40.00% |
| Loka vs Jun | 9–16 | 36.00% |
| Loka vs Nina | 6–14 | 30.00% |
| Loka vs Asuka | 5–14 | 26.32% |
| Loka vs Lee | 13–6 | 68.42% |
| Loka vs Claudio | 9–8 | 52.94% |
| Loka vs Yoshimitsu | 6–10 | 37.50% |
| Loka vs Xiaoyu | 9–7 | 56.25% |
| Loka vs Devil Jin | 5–9 | 35.71% |
| Loka vs Paul | 6–7 | 46.15% |
| Loka vs Jack-8 | 7–5 | 58.33% |
| Loka vs Lidia | 5–7 | 41.67% |
| Loka vs Lili | 2–9 | 18.18% |
| Loka vs Leo | 6–5 | 54.55% |
| Loka vs Shaheen | 1–9 | 10.00% |
| Loka vs Leroy | 6–4 | 60.00% |
| Loka vs Kuma | 4–4 | 50.00% |
| Loka vs Heihachi | 2–5 | 28.57% |
| Loka vs Alisa | 4–2 | 66.67% |
| Loka vs Zafina | 4–2 | 66.67% |
| Loka vs Anna | 4–1 | 80.00% |
| Loka vs Feng | 1–3 | 25.00% |
| Loka vs Clive | 2–2 | 50.00% |
| Loka vs Panda | 0–1 | 0.00% |
| Loka vs Raven | 1–0 | 100.00% |
| Loka vs Armor King | 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.