| ThePoeticEddaIX vs King | 10–10 | 50.00% |
| ThePoeticEddaIX vs Lili | 8–10 | 44.44% |
| ThePoeticEddaIX vs Reina | 10–6 | 62.50% |
| ThePoeticEddaIX vs Kazuya | 6–8 | 42.86% |
| ThePoeticEddaIX vs Alisa | 10–3 | 76.92% |
| ThePoeticEddaIX vs Clive | 2–9 | 18.18% |
| ThePoeticEddaIX vs Steve | 3–6 | 33.33% |
| ThePoeticEddaIX vs Jun | 4–5 | 44.44% |
| ThePoeticEddaIX vs Azucena | 4–5 | 44.44% |
| ThePoeticEddaIX vs Leroy | 5–2 | 71.43% |
| ThePoeticEddaIX vs Law | 3–3 | 50.00% |
| ThePoeticEddaIX vs Jin | 4–2 | 66.67% |
| ThePoeticEddaIX vs Lidia | 4–2 | 66.67% |
| ThePoeticEddaIX vs Yoshimitsu | 2–3 | 40.00% |
| ThePoeticEddaIX vs Hwoarang | 2–3 | 40.00% |
| ThePoeticEddaIX vs Jack-8 | 4–1 | 80.00% |
| ThePoeticEddaIX vs Asuka | 5–0 | 100.00% |
| ThePoeticEddaIX vs Dragunov | 1–4 | 20.00% |
| ThePoeticEddaIX vs Lee | 1–4 | 20.00% |
| ThePoeticEddaIX vs Zafina | 1–4 | 20.00% |
| ThePoeticEddaIX vs Lars | 2–2 | 50.00% |
| ThePoeticEddaIX vs Xiaoyu | 0–3 | 0.00% |
| ThePoeticEddaIX vs Victor | 1–2 | 33.33% |
| ThePoeticEddaIX vs Claudio | 2–0 | 100.00% |
| ThePoeticEddaIX vs Shaheen | 0–2 | 0.00% |
| ThePoeticEddaIX vs Nina | 2–0 | 100.00% |
| ThePoeticEddaIX vs Paul | 1–0 | 100.00% |
| ThePoeticEddaIX vs Panda | 0–1 | 0.00% |
| ThePoeticEddaIX vs Raven | 1–0 | 100.00% |
| ThePoeticEddaIX vs Heihachi | 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.