| tuku99 vs Steve | 26–30 | 46.43% |
| tuku99 vs Dragunov | 11–29 | 27.50% |
| tuku99 vs Armor King | 12–24 | 33.33% |
| tuku99 vs Kazuya | 18–15 | 54.55% |
| tuku99 vs Reina | 16–17 | 48.48% |
| tuku99 vs King | 7–23 | 23.33% |
| tuku99 vs Bryan | 14–10 | 58.33% |
| tuku99 vs Jin | 9–14 | 39.13% |
| tuku99 vs Fahkumram | 6–15 | 28.57% |
| tuku99 vs Law | 6–12 | 33.33% |
| tuku99 vs Hwoarang | 11–7 | 61.11% |
| tuku99 vs Lili | 10–8 | 55.56% |
| tuku99 vs Asuka | 6–11 | 35.29% |
| tuku99 vs Claudio | 5–10 | 33.33% |
| tuku99 vs Yoshimitsu | 3–11 | 21.43% |
| tuku99 vs Lars | 2–12 | 14.29% |
| tuku99 vs Jun | 5–9 | 35.71% |
| tuku99 vs Azucena | 4–10 | 28.57% |
| tuku99 vs Nina | 8–4 | 66.67% |
| tuku99 vs Paul | 1–10 | 9.09% |
| tuku99 vs Shaheen | 3–8 | 27.27% |
| tuku99 vs Kuma | 2–9 | 18.18% |
| tuku99 vs Leroy | 2–9 | 18.18% |
| tuku99 vs Feng | 2–8 | 20.00% |
| tuku99 vs Alisa | 4–6 | 40.00% |
| tuku99 vs Victor | 4–6 | 40.00% |
| tuku99 vs Eddy | 5–5 | 50.00% |
| tuku99 vs Heihachi | 3–7 | 30.00% |
| tuku99 vs Anna | 5–5 | 50.00% |
| tuku99 vs Xiaoyu | 6–3 | 66.67% |
| tuku99 vs Raven | 2–7 | 22.22% |
| tuku99 vs Devil Jin | 0–8 | 0.00% |
| tuku99 vs Clive | 1–7 | 12.50% |
| tuku99 vs Leo | 1–6 | 14.29% |
| tuku99 vs Lidia | 2–5 | 28.57% |
| tuku99 vs Lee | 2–1 | 66.67% |
| tuku99 vs Panda | 0–2 | 0.00% |
| tuku99 vs Miary Zo | 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.