| Nah, I'd Lose vs Reina | 15–5 | 75.00% |
| Nah, I'd Lose vs Bryan | 6–11 | 35.29% |
| Nah, I'd Lose vs Steve | 6–8 | 42.86% |
| Nah, I'd Lose vs Jack-8 | 11–3 | 78.57% |
| Nah, I'd Lose vs Asuka | 9–5 | 64.29% |
| Nah, I'd Lose vs Lee | 8–5 | 61.54% |
| Nah, I'd Lose vs Jin | 11–1 | 91.67% |
| Nah, I'd Lose vs Victor | 8–4 | 66.67% |
| Nah, I'd Lose vs Xiaoyu | 4–7 | 36.36% |
| Nah, I'd Lose vs Azucena | 8–3 | 72.73% |
| Nah, I'd Lose vs King | 8–1 | 88.89% |
| Nah, I'd Lose vs Devil Jin | 6–3 | 66.67% |
| Nah, I'd Lose vs Jun | 6–3 | 66.67% |
| Nah, I'd Lose vs Alisa | 5–3 | 62.50% |
| Nah, I'd Lose vs Eddy | 6–2 | 75.00% |
| Nah, I'd Lose vs Kazuya | 3–4 | 42.86% |
| Nah, I'd Lose vs Hwoarang | 5–1 | 83.33% |
| Nah, I'd Lose vs Nina | 1–5 | 16.67% |
| Nah, I'd Lose vs Raven | 2–4 | 33.33% |
| Nah, I'd Lose vs Heihachi | 0–6 | 0.00% |
| Nah, I'd Lose vs Paul | 3–2 | 60.00% |
| Nah, I'd Lose vs Dragunov | 2–3 | 40.00% |
| Nah, I'd Lose vs Claudio | 2–3 | 40.00% |
| Nah, I'd Lose vs Kuma | 2–3 | 40.00% |
| Nah, I'd Lose vs Feng | 4–0 | 100.00% |
| Nah, I'd Lose vs Lili | 2–2 | 50.00% |
| Nah, I'd Lose vs Lars | 4–0 | 100.00% |
| Nah, I'd Lose vs Lidia | 2–2 | 50.00% |
| Nah, I'd Lose vs Law | 1–2 | 33.33% |
| Nah, I'd Lose vs Yoshimitsu | 3–0 | 100.00% |
| Nah, I'd Lose vs Zafina | 1–2 | 33.33% |
| Nah, I'd Lose vs Shaheen | 0–2 | 0.00% |
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.