| suzu vs Kazuya | 28–16 | 63.64% |
| suzu vs Reina | 34–8 | 80.95% |
| suzu vs Bryan | 28–13 | 68.29% |
| suzu vs Asuka | 19–17 | 52.78% |
| suzu vs Lili | 21–13 | 61.76% |
| suzu vs King | 24–9 | 72.73% |
| suzu vs Paul | 21–5 | 80.77% |
| suzu vs Jin | 17–8 | 68.00% |
| suzu vs Dragunov | 14–11 | 56.00% |
| suzu vs Heihachi | 17–7 | 70.83% |
| suzu vs Fahkumram | 15–5 | 75.00% |
| suzu vs Jun | 12–7 | 63.16% |
| suzu vs Lidia | 14–5 | 73.68% |
| suzu vs Law | 13–4 | 76.47% |
| suzu vs Alisa | 10–6 | 62.50% |
| suzu vs Victor | 15–1 | 93.75% |
| suzu vs Leroy | 8–6 | 57.14% |
| suzu vs Yoshimitsu | 8–5 | 61.54% |
| suzu vs Hwoarang | 9–4 | 69.23% |
| suzu vs Devil Jin | 8–5 | 61.54% |
| suzu vs Nina | 10–3 | 76.92% |
| suzu vs Eddy | 7–6 | 53.85% |
| suzu vs Lars | 9–3 | 75.00% |
| suzu vs Jack-8 | 6–5 | 54.55% |
| suzu vs Leo | 6–3 | 66.67% |
| suzu vs Azucena | 6–2 | 75.00% |
| suzu vs Claudio | 6–1 | 85.71% |
| suzu vs Xiaoyu | 6–0 | 100.00% |
| suzu vs Feng | 4–2 | 66.67% |
| suzu vs Kuma | 4–2 | 66.67% |
| suzu vs Raven | 3–3 | 50.00% |
| suzu vs Miary Zo | 3–3 | 50.00% |
| suzu vs Shaheen | 3–2 | 60.00% |
| suzu vs Steve | 3–1 | 75.00% |
| suzu vs Lee | 3–1 | 75.00% |
| suzu vs Armor King | 3–1 | 75.00% |
| suzu vs Panda | 1–1 | 50.00% |
| suzu vs Clive | 2–0 | 100.00% |
| suzu vs Anna | 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.