| Etc_Null vs King | 24–36–1 | 40.00% |
| Etc_Null vs Steve | 34–27 | 55.74% |
| Etc_Null vs Eddy | 18–38 | 32.14% |
| Etc_Null vs Bryan | 19–32 | 37.25% |
| Etc_Null vs Reina | 27–23 | 54.00% |
| Etc_Null vs Jin | 20–28 | 41.67% |
| Etc_Null vs Dragunov | 19–25 | 43.18% |
| Etc_Null vs Victor | 18–22 | 45.00% |
| Etc_Null vs Kazuya | 14–24 | 36.84% |
| Etc_Null vs Yoshimitsu | 15–20 | 42.86% |
| Etc_Null vs Hwoarang | 15–19 | 44.12% |
| Etc_Null vs Azucena | 16–17 | 48.48% |
| Etc_Null vs Xiaoyu | 15–17 | 46.88% |
| Etc_Null vs Asuka | 5–25 | 16.67% |
| Etc_Null vs Lee | 12–17 | 41.38% |
| Etc_Null vs Lars | 13–15 | 46.43% |
| Etc_Null vs Law | 9–18 | 33.33% |
| Etc_Null vs Paul | 10–15 | 40.00% |
| Etc_Null vs Lili | 9–15 | 37.50% |
| Etc_Null vs Nina | 8–15 | 34.78% |
| Etc_Null vs Feng | 10–11 | 47.62% |
| Etc_Null vs Leo | 6–15 | 28.57% |
| Etc_Null vs Alisa | 12–8 | 60.00% |
| Etc_Null vs Leroy | 10–10 | 50.00% |
| Etc_Null vs Claudio | 6–9 | 40.00% |
| Etc_Null vs Jun | 6–9 | 40.00% |
| Etc_Null vs Heihachi | 4–10 | 28.57% |
| Etc_Null vs Kuma | 6–6 | 50.00% |
| Etc_Null vs Lidia | 4–8 | 33.33% |
| Etc_Null vs Devil Jin | 5–6 | 45.45% |
| Etc_Null vs Shaheen | 6–3 | 66.67% |
| Etc_Null vs Armor King | 6–3 | 66.67% |
| Etc_Null vs Jack-8 | 5–3 | 62.50% |
| Etc_Null vs Zafina | 0–7 | 0.00% |
| Etc_Null vs Raven | 1–6 | 14.29% |
| Etc_Null vs Panda | 2–4 | 33.33% |
| Etc_Null vs Clive | 1–4 | 20.00% |
| Etc_Null vs Miary Zo | 2–3 | 40.00% |
| Etc_Null vs Anna | 2–2 | 50.00% |
| Etc_Null vs Fahkumram | 1–1 | 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.