| Three vs Kazuya | 25–36 | 40.98% |
| Three vs King | 27–32 | 45.76% |
| Three vs Reina | 29–24 | 54.72% |
| Three vs Bryan | 17–33 | 34.00% |
| Three vs Jin | 16–24 | 40.00% |
| Three vs Clive | 22–18 | 55.00% |
| Three vs Hwoarang | 16–23 | 41.03% |
| Three vs Lili | 19–20 | 48.72% |
| Three vs Dragunov | 20–17 | 54.05% |
| Three vs Yoshimitsu | 18–16 | 52.94% |
| Three vs Heihachi | 13–20 | 39.39% |
| Three vs Victor | 7–19 | 26.92% |
| Three vs Steve | 16–9 | 64.00% |
| Three vs Law | 3–19 | 13.64% |
| Three vs Asuka | 8–13 | 38.10% |
| Three vs Lidia | 11–9 | 55.00% |
| Three vs Azucena | 13–6 | 68.42% |
| Three vs Leo | 11–7 | 61.11% |
| Three vs Lars | 4–13 | 23.53% |
| Three vs Jun | 6–10 | 37.50% |
| Three vs Fahkumram | 10–6 | 62.50% |
| Three vs Eddy | 6–8 | 42.86% |
| Three vs Nina | 3–10 | 23.08% |
| Three vs Xiaoyu | 7–5 | 58.33% |
| Three vs Devil Jin | 7–4 | 63.64% |
| Three vs Zafina | 6–5 | 54.55% |
| Three vs Raven | 9–1 | 90.00% |
| Three vs Paul | 3–6 | 33.33% |
| Three vs Alisa | 3–6 | 33.33% |
| Three vs Lee | 2–7 | 22.22% |
| Three vs Leroy | 5–4 | 55.56% |
| Three vs Jack-8 | 2–5 | 28.57% |
| Three vs Feng | 2–5 | 28.57% |
| Three vs Claudio | 1–5 | 16.67% |
| Three vs Anna | 1–2 | 33.33% |
| Three vs Kuma | 0–2 | 0.00% |
| Three vs Shaheen | 1–0 | 100.00% |
| Three vs Panda | 1–0 | 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.