| 1eonn vs Reina | 58–47 | 55.24% |
| 1eonn vs Kazuya | 42–47 | 47.19% |
| 1eonn vs King | 46–41 | 52.87% |
| 1eonn vs Jin | 47–33 | 58.75% |
| 1eonn vs Steve | 36–22 | 62.07% |
| 1eonn vs Dragunov | 34–20 | 62.96% |
| 1eonn vs Law | 25–28 | 47.17% |
| 1eonn vs Paul | 20–30 | 40.00% |
| 1eonn vs Yoshimitsu | 23–27 | 46.00% |
| 1eonn vs Fahkumram | 28–22 | 56.00% |
| 1eonn vs Asuka | 15–33 | 31.25% |
| 1eonn vs Lili | 20–27 | 42.55% |
| 1eonn vs Xiaoyu | 24–22 | 52.17% |
| 1eonn vs Azucena | 26–20 | 56.52% |
| 1eonn vs Hwoarang | 22–23 | 48.89% |
| 1eonn vs Bryan | 12–33 | 26.67% |
| 1eonn vs Lars | 22–22 | 50.00% |
| 1eonn vs Jun | 21–20 | 51.22% |
| 1eonn vs Eddy | 17–21 | 44.74% |
| 1eonn vs Victor | 14–23 | 37.84% |
| 1eonn vs Leo | 18–17 | 51.43% |
| 1eonn vs Claudio | 16–16 | 50.00% |
| 1eonn vs Lee | 5–24 | 17.24% |
| 1eonn vs Feng | 9–16 | 36.00% |
| 1eonn vs Leroy | 11–14 | 44.00% |
| 1eonn vs Devil Jin | 6–18 | 25.00% |
| 1eonn vs Raven | 13–11 | 54.17% |
| 1eonn vs Jack-8 | 12–11 | 52.17% |
| 1eonn vs Nina | 11–11 | 50.00% |
| 1eonn vs Kuma | 10–4 | 71.43% |
| 1eonn vs Heihachi | 6–8 | 42.86% |
| 1eonn vs Zafina | 6–7 | 46.15% |
| 1eonn vs Alisa | 0–10 | 0.00% |
| 1eonn vs Anna | 2–3 | 40.00% |
| 1eonn vs Lidia | 2–2 | 50.00% |
| 1eonn vs Shaheen | 1–2 | 33.33% |
| 1eonn vs Panda | 0–2 | 0.00% |
| 1eonn vs Clive | 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.