| eLPrimera vs Jin | 41–53 | 43.62% |
| eLPrimera vs Kazuya | 43–43 | 50.00% |
| eLPrimera vs King | 40–33 | 54.79% |
| eLPrimera vs Dragunov | 36–36 | 50.00% |
| eLPrimera vs Steve | 34–25 | 57.63% |
| eLPrimera vs Hwoarang | 25–32 | 43.86% |
| eLPrimera vs Fahkumram | 17–31 | 35.42% |
| eLPrimera vs Law | 19–28 | 40.43% |
| eLPrimera vs Victor | 30–17 | 63.83% |
| eLPrimera vs Bryan | 21–25 | 45.65% |
| eLPrimera vs Reina | 23–18 | 56.10% |
| eLPrimera vs Lili | 19–21 | 47.50% |
| eLPrimera vs Yoshimitsu | 24–15 | 61.54% |
| eLPrimera vs Lee | 13–20 | 39.39% |
| eLPrimera vs Jun | 15–18 | 45.45% |
| eLPrimera vs Devil Jin | 16–15 | 51.61% |
| eLPrimera vs Asuka | 13–17 | 43.33% |
| eLPrimera vs Anna | 13–17 | 43.33% |
| eLPrimera vs Lars | 20–9 | 68.97% |
| eLPrimera vs Heihachi | 10–17 | 37.04% |
| eLPrimera vs Clive | 18–9 | 66.67% |
| eLPrimera vs Armor King | 13–14 | 48.15% |
| eLPrimera vs Paul | 9–15 | 37.50% |
| eLPrimera vs Eddy | 13–11 | 54.17% |
| eLPrimera vs Alisa | 12–7 | 63.16% |
| eLPrimera vs Lidia | 12–7 | 63.16% |
| eLPrimera vs Xiaoyu | 3–13 | 18.75% |
| eLPrimera vs Jack-8 | 8–6 | 57.14% |
| eLPrimera vs Shaheen | 4–10 | 28.57% |
| eLPrimera vs Leroy | 9–5 | 64.29% |
| eLPrimera vs Azucena | 8–6 | 57.14% |
| eLPrimera vs Zafina | 7–3 | 70.00% |
| eLPrimera vs Feng | 5–4 | 55.56% |
| eLPrimera vs Kuma | 4–5 | 44.44% |
| eLPrimera vs Panda | 8–1 | 88.89% |
| eLPrimera vs Claudio | 4–3 | 57.14% |
| eLPrimera vs Leo | 1–4 | 20.00% |
| eLPrimera vs Nina | 3–1 | 75.00% |
| eLPrimera vs Raven | 1–0 | 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.