| elktefoka vs King | 56–53 | 51.38% |
| elktefoka vs Jin | 56–51 | 52.34% |
| elktefoka vs Kazuya | 36–69 | 34.29% |
| elktefoka vs Fahkumram | 37–48 | 43.53% |
| elktefoka vs Yoshimitsu | 31–45 | 40.79% |
| elktefoka vs Bryan | 36–33 | 52.17% |
| elktefoka vs Hwoarang | 28–34 | 45.16% |
| elktefoka vs Armor King | 30–32 | 48.39% |
| elktefoka vs Law | 26–32 | 44.83% |
| elktefoka vs Steve | 21–36 | 36.84% |
| elktefoka vs Reina | 21–34 | 38.18% |
| elktefoka vs Heihachi | 22–31 | 41.51% |
| elktefoka vs Lili | 22–26 | 45.83% |
| elktefoka vs Dragunov | 18–27 | 40.00% |
| elktefoka vs Paul | 17–26 | 39.53% |
| elktefoka vs Jun | 18–23 | 43.90% |
| elktefoka vs Victor | 17–18 | 48.57% |
| elktefoka vs Devil Jin | 12–22 | 35.29% |
| elktefoka vs Azucena | 15–19 | 44.12% |
| elktefoka vs Lars | 13–19 | 40.62% |
| elktefoka vs Asuka | 16–15 | 51.61% |
| elktefoka vs Xiaoyu | 16–14 | 53.33% |
| elktefoka vs Clive | 10–18 | 35.71% |
| elktefoka vs Lee | 9–18 | 33.33% |
| elktefoka vs Eddy | 10–16 | 38.46% |
| elktefoka vs Anna | 10–12 | 45.45% |
| elktefoka vs Alisa | 8–11 | 42.11% |
| elktefoka vs Lidia | 7–11 | 38.89% |
| elktefoka vs Jack-8 | 8–9 | 47.06% |
| elktefoka vs Leo | 7–8 | 46.67% |
| elktefoka vs Raven | 7–8 | 46.67% |
| elktefoka vs Feng | 6–8 | 42.86% |
| elktefoka vs Shaheen | 3–7 | 30.00% |
| elktefoka vs Claudio | 4–5 | 44.44% |
| elktefoka vs Nina | 3–6 | 33.33% |
| elktefoka vs Panda | 5–4 | 55.56% |
| elktefoka vs Zafina | 6–3 | 66.67% |
| elktefoka vs Kuma | 3–4 | 42.86% |
| elktefoka vs Leroy | 2–2 | 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.