| EkSpectre vs Bryan | 50–61 | 45.05% |
| EkSpectre vs Kazuya | 54–37 | 59.34% |
| EkSpectre vs Jin | 45–42 | 51.72% |
| EkSpectre vs Reina | 52–34 | 60.47% |
| EkSpectre vs Hwoarang | 34–43 | 44.16% |
| EkSpectre vs Paul | 42–29 | 59.15% |
| EkSpectre vs Law | 35–35 | 50.00% |
| EkSpectre vs King | 36–33 | 52.17% |
| EkSpectre vs Yoshimitsu | 23–39 | 37.10% |
| EkSpectre vs Steve | 22–36 | 37.93% |
| EkSpectre vs Dragunov | 23–34 | 40.35% |
| EkSpectre vs Heihachi | 31–22 | 58.49% |
| EkSpectre vs Nina | 32–20 | 61.54% |
| EkSpectre vs Jun | 27–18 | 60.00% |
| EkSpectre vs Feng | 25–19 | 56.82% |
| EkSpectre vs Lee | 14–23 | 37.84% |
| EkSpectre vs Lars | 18–14 | 56.25% |
| EkSpectre vs Lili | 15–14 | 51.72% |
| EkSpectre vs Eddy | 20–9 | 68.97% |
| EkSpectre vs Alisa | 10–18 | 35.71% |
| EkSpectre vs Fahkumram | 14–13 | 51.85% |
| EkSpectre vs Xiaoyu | 11–12 | 47.83% |
| EkSpectre vs Devil Jin | 12–10 | 54.55% |
| EkSpectre vs Victor | 12–10 | 54.55% |
| EkSpectre vs Asuka | 7–12 | 36.84% |
| EkSpectre vs Azucena | 11–8 | 57.89% |
| EkSpectre vs Jack-8 | 11–7 | 61.11% |
| EkSpectre vs Zafina | 7–10 | 41.18% |
| EkSpectre vs Claudio | 6–9 | 40.00% |
| EkSpectre vs Leroy | 3–11 | 21.43% |
| EkSpectre vs Anna | 7–6 | 53.85% |
| EkSpectre vs Shaheen | 7–4 | 63.64% |
| EkSpectre vs Clive | 7–4 | 63.64% |
| EkSpectre vs Kuma | 4–4 | 50.00% |
| EkSpectre vs Raven | 5–3 | 62.50% |
| EkSpectre vs Lidia | 3–3 | 50.00% |
| EkSpectre vs Panda | 2–3 | 40.00% |
| EkSpectre vs Leo | 2–2 | 50.00% |
| EkSpectre vs Armor King | 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.