| nichol.lljk vs Kazuya | 60–49 | 55.05% |
| nichol.lljk vs Reina | 55–45 | 55.00% |
| nichol.lljk vs King | 45–49 | 47.87% |
| nichol.lljk vs Jin | 47–44 | 51.65% |
| nichol.lljk vs Bryan | 34–56 | 37.78% |
| nichol.lljk vs Dragunov | 54–33 | 62.07% |
| nichol.lljk vs Yoshimitsu | 37–36 | 50.68% |
| nichol.lljk vs Hwoarang | 34–28 | 54.84% |
| nichol.lljk vs Jun | 35–26 | 57.38% |
| nichol.lljk vs Law | 36–20 | 64.29% |
| nichol.lljk vs Asuka | 28–26 | 51.85% |
| nichol.lljk vs Lee | 23–25 | 47.92% |
| nichol.lljk vs Azucena | 23–24 | 48.94% |
| nichol.lljk vs Victor | 23–24 | 48.94% |
| nichol.lljk vs Lili | 15–31 | 32.61% |
| nichol.lljk vs Eddy | 15–31 | 32.61% |
| nichol.lljk vs Jack-8 | 16–29 | 35.56% |
| nichol.lljk vs Paul | 18–26 | 40.91% |
| nichol.lljk vs Feng | 29–15 | 65.91% |
| nichol.lljk vs Steve | 22–21 | 51.16% |
| nichol.lljk vs Lars | 13–26 | 33.33% |
| nichol.lljk vs Xiaoyu | 14–17 | 45.16% |
| nichol.lljk vs Devil Jin | 14–13 | 51.85% |
| nichol.lljk vs Nina | 13–12 | 52.00% |
| nichol.lljk vs Raven | 18–7 | 72.00% |
| nichol.lljk vs Zafina | 10–13 | 43.48% |
| nichol.lljk vs Leroy | 14–9 | 60.87% |
| nichol.lljk vs Heihachi | 11–12 | 47.83% |
| nichol.lljk vs Leo | 10–12 | 45.45% |
| nichol.lljk vs Alisa | 16–3 | 84.21% |
| nichol.lljk vs Claudio | 7–11 | 38.89% |
| nichol.lljk vs Shaheen | 4–14 | 22.22% |
| nichol.lljk vs Fahkumram | 8–7 | 53.33% |
| nichol.lljk vs Panda | 2–11 | 15.38% |
| nichol.lljk vs Kuma | 4–8 | 33.33% |
| nichol.lljk vs Clive | 3–4 | 42.86% |
| nichol.lljk vs Anna | 1–6 | 14.29% |
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.