| TPB|CactuarKiDD vs Bryan | 50–28 | 64.10% |
| TPB|CactuarKiDD vs Clive | 35–39 | 47.30% |
| TPB|CactuarKiDD vs Kazuya | 44–22 | 66.67% |
| TPB|CactuarKiDD vs Jin | 20–24 | 45.45% |
| TPB|CactuarKiDD vs Lee | 16–23 | 41.03% |
| TPB|CactuarKiDD vs Lidia | 20–18 | 52.63% |
| TPB|CactuarKiDD vs Law | 15–20 | 42.86% |
| TPB|CactuarKiDD vs Heihachi | 16–18 | 47.06% |
| TPB|CactuarKiDD vs Feng | 10–20 | 33.33% |
| TPB|CactuarKiDD vs Reina | 9–19 | 32.14% |
| TPB|CactuarKiDD vs Dragunov | 13–14 | 48.15% |
| TPB|CactuarKiDD vs Devil Jin | 10–14 | 41.67% |
| TPB|CactuarKiDD vs Hwoarang | 15–8 | 65.22% |
| TPB|CactuarKiDD vs Lili | 10–12 | 45.45% |
| TPB|CactuarKiDD vs King | 11–10 | 52.38% |
| TPB|CactuarKiDD vs Leroy | 12–8 | 60.00% |
| TPB|CactuarKiDD vs Jun | 11–9 | 55.00% |
| TPB|CactuarKiDD vs Azucena | 9–10 | 47.37% |
| TPB|CactuarKiDD vs Asuka | 6–11 | 35.29% |
| TPB|CactuarKiDD vs Claudio | 5–12 | 29.41% |
| TPB|CactuarKiDD vs Yoshimitsu | 6–10 | 37.50% |
| TPB|CactuarKiDD vs Leo | 12–3 | 80.00% |
| TPB|CactuarKiDD vs Alisa | 5–10 | 33.33% |
| TPB|CactuarKiDD vs Raven | 1–14 | 6.67% |
| TPB|CactuarKiDD vs Paul | 4–10 | 28.57% |
| TPB|CactuarKiDD vs Jack-8 | 9–5 | 64.29% |
| TPB|CactuarKiDD vs Kuma | 7–6 | 53.85% |
| TPB|CactuarKiDD vs Xiaoyu | 5–6 | 45.45% |
| TPB|CactuarKiDD vs Victor | 6–5 | 54.55% |
| TPB|CactuarKiDD vs Panda | 4–6 | 40.00% |
| TPB|CactuarKiDD vs Steve | 8–1 | 88.89% |
| TPB|CactuarKiDD vs Zafina | 4–5 | 44.44% |
| TPB|CactuarKiDD vs Lars | 6–2 | 75.00% |
| TPB|CactuarKiDD vs Eddy | 4–4 | 50.00% |
| TPB|CactuarKiDD vs Nina | 3–4 | 42.86% |
| TPB|CactuarKiDD vs Shaheen | 2–3 | 40.00% |
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.