| TheOldNiM vs Clive | 43–63 | 40.57% |
| TheOldNiM vs Kazuya | 40–44 | 47.62% |
| TheOldNiM vs Heihachi | 40–22 | 64.52% |
| TheOldNiM vs Jin | 27–28 | 49.09% |
| TheOldNiM vs Reina | 28–26 | 51.85% |
| TheOldNiM vs King | 22–29 | 43.14% |
| TheOldNiM vs Bryan | 26–22 | 54.17% |
| TheOldNiM vs Lidia | 30–15 | 66.67% |
| TheOldNiM vs Steve | 21–17 | 55.26% |
| TheOldNiM vs Yoshimitsu | 17–20 | 45.95% |
| TheOldNiM vs Paul | 19–17 | 52.78% |
| TheOldNiM vs Lee | 19–14 | 57.58% |
| TheOldNiM vs Dragunov | 14–18 | 43.75% |
| TheOldNiM vs Victor | 19–13 | 59.38% |
| TheOldNiM vs Hwoarang | 22–8 | 73.33% |
| TheOldNiM vs Law | 15–14 | 51.72% |
| TheOldNiM vs Eddy | 17–9 | 65.38% |
| TheOldNiM vs Lars | 10–13 | 43.48% |
| TheOldNiM vs Devil Jin | 9–11 | 45.00% |
| TheOldNiM vs Jun | 15–5 | 75.00% |
| TheOldNiM vs Asuka | 7–10 | 41.18% |
| TheOldNiM vs Feng | 5–12 | 29.41% |
| TheOldNiM vs Lili | 10–7 | 58.82% |
| TheOldNiM vs Nina | 9–8 | 52.94% |
| TheOldNiM vs Azucena | 10–7 | 58.82% |
| TheOldNiM vs Fahkumram | 13–3 | 81.25% |
| TheOldNiM vs Alisa | 11–3 | 78.57% |
| TheOldNiM vs Leroy | 12–1 | 92.31% |
| TheOldNiM vs Xiaoyu | 4–8 | 33.33% |
| TheOldNiM vs Claudio | 5–7 | 41.67% |
| TheOldNiM vs Jack-8 | 5–4 | 55.56% |
| TheOldNiM vs Shaheen | 6–3 | 66.67% |
| TheOldNiM vs Leo | 6–1 | 85.71% |
| TheOldNiM vs Zafina | 5–2 | 71.43% |
| TheOldNiM vs Raven | 4–1 | 80.00% |
| TheOldNiM vs Anna | 4–0 | 100.00% |
| TheOldNiM vs Panda | 3–0 | 100.00% |
| TheOldNiM vs Kuma | 2–0 | 100.00% |
| TheOldNiM vs Miary Zo | 2–0 | 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.