| Eternal vs King | 26–27 | 49.06% |
| Eternal vs Reina | 28–17 | 62.22% |
| Eternal vs Kazuya | 23–17 | 57.50% |
| Eternal vs Eddy | 13–18 | 41.94% |
| Eternal vs Hwoarang | 17–13 | 56.67% |
| Eternal vs Jin | 11–18 | 37.93% |
| Eternal vs Steve | 15–14 | 51.72% |
| Eternal vs Clive | 11–13 | 45.83% |
| Eternal vs Law | 6–17 | 26.09% |
| Eternal vs Dragunov | 8–13 | 38.10% |
| Eternal vs Azucena | 10–11 | 47.62% |
| Eternal vs Jun | 8–12 | 40.00% |
| Eternal vs Heihachi | 6–14 | 30.00% |
| Eternal vs Leroy | 13–4 | 76.47% |
| Eternal vs Bryan | 12–4 | 75.00% |
| Eternal vs Lidia | 10–6 | 62.50% |
| Eternal vs Raven | 6–9 | 40.00% |
| Eternal vs Victor | 7–7 | 50.00% |
| Eternal vs Lars | 2–10 | 16.67% |
| Eternal vs Nina | 6–6 | 50.00% |
| Eternal vs Lee | 6–6 | 50.00% |
| Eternal vs Paul | 8–3 | 72.73% |
| Eternal vs Devil Jin | 4–7 | 36.36% |
| Eternal vs Leo | 7–4 | 63.64% |
| Eternal vs Asuka | 6–4 | 60.00% |
| Eternal vs Feng | 2–7 | 22.22% |
| Eternal vs Yoshimitsu | 3–5 | 37.50% |
| Eternal vs Alisa | 5–3 | 62.50% |
| Eternal vs Claudio | 1–7 | 12.50% |
| Eternal vs Xiaoyu | 3–4 | 42.86% |
| Eternal vs Lili | 4–3 | 57.14% |
| Eternal vs Kuma | 2–4 | 33.33% |
| Eternal vs Panda | 1–5 | 16.67% |
| Eternal vs Jack-8 | 2–3 | 40.00% |
| Eternal vs Shaheen | 0–4 | 0.00% |
| Eternal vs Zafina | 0–2 | 0.00% |
| Eternal vs Armor King | 1–1 | 50.00% |
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.