| EL_KGX vs King | 115–84 | 57.79% |
| EL_KGX vs Jin | 66–67 | 49.62% |
| EL_KGX vs Kazuya | 54–69 | 43.90% |
| EL_KGX vs Reina | 71–50 | 58.68% |
| EL_KGX vs Bryan | 61–57 | 51.69% |
| EL_KGX vs Dragunov | 50–44 | 53.19% |
| EL_KGX vs Heihachi | 33–54 | 37.93% |
| EL_KGX vs Hwoarang | 48–37 | 56.47% |
| EL_KGX vs Steve | 46–38 | 54.76% |
| EL_KGX vs Law | 50–29 | 63.29% |
| EL_KGX vs Jun | 47–31 | 60.26% |
| EL_KGX vs Yoshimitsu | 49–27 | 64.47% |
| EL_KGX vs Lili | 38–35 | 52.05% |
| EL_KGX vs Asuka | 36–32 | 52.94% |
| EL_KGX vs Azucena | 47–19 | 71.21% |
| EL_KGX vs Lidia | 27–39 | 40.91% |
| EL_KGX vs Fahkumram | 27–33 | 45.00% |
| EL_KGX vs Paul | 32–26 | 55.17% |
| EL_KGX vs Xiaoyu | 27–29 | 48.21% |
| EL_KGX vs Devil Jin | 25–28 | 47.17% |
| EL_KGX vs Clive | 22–31 | 41.51% |
| EL_KGX vs Lars | 26–26 | 50.00% |
| EL_KGX vs Nina | 27–24 | 52.94% |
| EL_KGX vs Eddy | 29–21 | 58.00% |
| EL_KGX vs Alisa | 27–17 | 61.36% |
| EL_KGX vs Lee | 20–23 | 46.51% |
| EL_KGX vs Leo | 22–20 | 52.38% |
| EL_KGX vs Victor | 24–17 | 58.54% |
| EL_KGX vs Armor King | 23–16 | 58.97% |
| EL_KGX vs Raven | 15–21 | 41.67% |
| EL_KGX vs Leroy | 11–24 | 31.43% |
| EL_KGX vs Feng | 18–14 | 56.25% |
| EL_KGX vs Kuma | 17–14 | 54.84% |
| EL_KGX vs Anna | 12–18 | 40.00% |
| EL_KGX vs Claudio | 19–10 | 65.52% |
| EL_KGX vs Jack-8 | 6–15 | 28.57% |
| EL_KGX vs Miary Zo | 11–9 | 55.00% |
| EL_KGX vs Shaheen | 14–5 | 73.68% |
| EL_KGX vs Panda | 4–6 | 40.00% |
| EL_KGX vs Zafina | 4–4 | 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.