| nimble vs Reina | 57–19 | 75.00% |
| nimble vs Dragunov | 28–20 | 58.33% |
| nimble vs Kazuya | 26–16 | 61.90% |
| nimble vs Jin | 23–13 | 63.89% |
| nimble vs Steve | 27–6 | 81.82% |
| nimble vs King | 13–18 | 41.94% |
| nimble vs Bryan | 13–17 | 43.33% |
| nimble vs Clive | 19–11 | 63.33% |
| nimble vs Lidia | 22–6 | 78.57% |
| nimble vs Paul | 14–13 | 51.85% |
| nimble vs Hwoarang | 12–12 | 50.00% |
| nimble vs Victor | 15–9 | 62.50% |
| nimble vs Devil Jin | 17–6 | 73.91% |
| nimble vs Law | 10–11 | 47.62% |
| nimble vs Yoshimitsu | 8–12 | 40.00% |
| nimble vs Lili | 12–7 | 63.16% |
| nimble vs Azucena | 8–11 | 42.11% |
| nimble vs Asuka | 11–7 | 61.11% |
| nimble vs Alisa | 10–6 | 62.50% |
| nimble vs Xiaoyu | 8–6 | 57.14% |
| nimble vs Feng | 8–6 | 57.14% |
| nimble vs Claudio | 8–5 | 61.54% |
| nimble vs Jun | 8–4 | 66.67% |
| nimble vs Jack-8 | 5–6 | 45.45% |
| nimble vs Eddy | 5–5 | 50.00% |
| nimble vs Leo | 4–5 | 44.44% |
| nimble vs Nina | 5–4 | 55.56% |
| nimble vs Heihachi | 4–5 | 44.44% |
| nimble vs Kuma | 2–6 | 25.00% |
| nimble vs Leroy | 5–2 | 71.43% |
| nimble vs Zafina | 2–3 | 40.00% |
| nimble vs Lars | 2–2 | 50.00% |
| nimble vs Lee | 1–3 | 25.00% |
| nimble vs Shaheen | 2–1 | 66.67% |
| nimble vs Raven | 3–0 | 100.00% |
| nimble vs Fahkumram | 2–0 | 100.00% |
| nimble vs Panda | 0–1 | 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.