| Earlight vs Kazuya | 37–19 | 66.07% |
| Earlight vs King | 16–27 | 37.21% |
| Earlight vs Steve | 21–19 | 52.50% |
| Earlight vs Law | 27–10 | 72.97% |
| Earlight vs Dragunov | 30–6 | 83.33% |
| Earlight vs Bryan | 18–14 | 56.25% |
| Earlight vs Hwoarang | 19–12 | 61.29% |
| Earlight vs Jin | 20–11 | 64.52% |
| Earlight vs Reina | 14–11 | 56.00% |
| Earlight vs Lili | 13–7 | 65.00% |
| Earlight vs Lars | 12–7 | 63.16% |
| Earlight vs Devil Jin | 13–5 | 72.22% |
| Earlight vs Heihachi | 5–11 | 31.25% |
| Earlight vs Asuka | 4–10 | 28.57% |
| Earlight vs Yoshimitsu | 8–4–1 | 66.67% |
| Earlight vs Leo | 8–5 | 61.54% |
| Earlight vs Alisa | 10–3 | 76.92% |
| Earlight vs Victor | 9–3 | 75.00% |
| Earlight vs Paul | 7–4 | 63.64% |
| Earlight vs Lee | 9–2 | 81.82% |
| Earlight vs Azucena | 6–4 | 60.00% |
| Earlight vs Nina | 2–7 | 22.22% |
| Earlight vs Clive | 4–4 | 50.00% |
| Earlight vs Jack-8 | 4–3 | 57.14% |
| Earlight vs Raven | 3–4 | 42.86% |
| Earlight vs Feng | 5–1 | 83.33% |
| Earlight vs Claudio | 4–2 | 66.67% |
| Earlight vs Lidia | 5–1 | 83.33% |
| Earlight vs Xiaoyu | 2–2 | 50.00% |
| Earlight vs Leroy | 2–2 | 50.00% |
| Earlight vs Jun | 1–3 | 25.00% |
| Earlight vs Eddy | 2–2 | 50.00% |
| Earlight vs Kuma | 2–1 | 66.67% |
| Earlight vs Fahkumram | 0–3 | 0.00% |
| Earlight vs Zafina | 0–2 | 0.00% |
| Earlight vs Anna | 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.