| siberlTu vs King | 30–38 | 44.12% |
| siberlTu vs Reina | 39–24 | 61.90% |
| siberlTu vs Clive | 20–29 | 40.82% |
| siberlTu vs Kazuya | 20–27 | 42.55% |
| siberlTu vs Hwoarang | 20–25 | 44.44% |
| siberlTu vs Jin | 11–34 | 24.44% |
| siberlTu vs Lili | 17–22 | 43.59% |
| siberlTu vs Azucena | 15–12 | 55.56% |
| siberlTu vs Yoshimitsu | 15–10 | 60.00% |
| siberlTu vs Law | 8–16 | 33.33% |
| siberlTu vs Dragunov | 6–18 | 25.00% |
| siberlTu vs Jun | 7–16 | 30.43% |
| siberlTu vs Bryan | 10–12 | 45.45% |
| siberlTu vs Heihachi | 8–13 | 38.10% |
| siberlTu vs Steve | 11–9 | 55.00% |
| siberlTu vs Victor | 7–13 | 35.00% |
| siberlTu vs Nina | 12–7 | 63.16% |
| siberlTu vs Jack-8 | 4–14 | 22.22% |
| siberlTu vs Lee | 2–15 | 11.76% |
| siberlTu vs Lidia | 9–8 | 52.94% |
| siberlTu vs Asuka | 5–9 | 35.71% |
| siberlTu vs Lars | 10–3 | 76.92% |
| siberlTu vs Leroy | 8–4 | 66.67% |
| siberlTu vs Devil Jin | 5–6 | 45.45% |
| siberlTu vs Alisa | 2–9 | 18.18% |
| siberlTu vs Claudio | 6–4 | 60.00% |
| siberlTu vs Eddy | 2–8 | 20.00% |
| siberlTu vs Xiaoyu | 3–4 | 42.86% |
| siberlTu vs Leo | 1–6 | 14.29% |
| siberlTu vs Kuma | 2–5 | 28.57% |
| siberlTu vs Raven | 1–6 | 14.29% |
| siberlTu vs Paul | 2–4 | 33.33% |
| siberlTu vs Feng | 4–2 | 66.67% |
| siberlTu vs Shaheen | 2–0 | 100.00% |
| siberlTu vs Panda | 0–2 | 0.00% |
| siberlTu vs Zafina | 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.