| T-bechilln vs Reina | 25–34 | 42.37% |
| T-bechilln vs King | 21–35 | 37.50% |
| T-bechilln vs Jin | 14–34 | 29.17% |
| T-bechilln vs Eddy | 15–32 | 31.91% |
| T-bechilln vs Kazuya | 20–21 | 48.78% |
| T-bechilln vs Steve | 12–23 | 34.29% |
| T-bechilln vs Hwoarang | 12–20 | 37.50% |
| T-bechilln vs Jun | 12–18 | 40.00% |
| T-bechilln vs Azucena | 12–15 | 44.44% |
| T-bechilln vs Victor | 5–21 | 19.23% |
| T-bechilln vs Law | 9–16 | 36.00% |
| T-bechilln vs Dragunov | 9–16 | 36.00% |
| T-bechilln vs Bryan | 7–14 | 33.33% |
| T-bechilln vs Lili | 5–15 | 25.00% |
| T-bechilln vs Lars | 5–15 | 25.00% |
| T-bechilln vs Yoshimitsu | 12–7 | 63.16% |
| T-bechilln vs Paul | 3–15 | 16.67% |
| T-bechilln vs Xiaoyu | 6–12 | 33.33% |
| T-bechilln vs Lidia | 9–9 | 50.00% |
| T-bechilln vs Nina | 4–13 | 23.53% |
| T-bechilln vs Asuka | 3–12–1 | 20.00% |
| T-bechilln vs Lee | 5–11 | 31.25% |
| T-bechilln vs Leroy | 8–7 | 53.33% |
| T-bechilln vs Devil Jin | 3–11 | 21.43% |
| T-bechilln vs Leo | 5–7 | 41.67% |
| T-bechilln vs Claudio | 5–5 | 50.00% |
| T-bechilln vs Clive | 3–7 | 30.00% |
| T-bechilln vs Miary Zo | 3–7 | 30.00% |
| T-bechilln vs Raven | 5–4 | 55.56% |
| T-bechilln vs Feng | 4–4 | 50.00% |
| T-bechilln vs Alisa | 1–7 | 12.50% |
| T-bechilln vs Kuma | 1–6 | 14.29% |
| T-bechilln vs Jack-8 | 2–4 | 33.33% |
| T-bechilln vs Armor King | 3–3 | 50.00% |
| T-bechilln vs Shaheen | 3–2 | 60.00% |
| T-bechilln vs Heihachi | 3–2 | 60.00% |
| T-bechilln vs Anna | 4–1 | 80.00% |
| T-bechilln vs Fahkumram | 2–2 | 50.00% |
| T-bechilln vs Panda | 0–3 | 0.00% |
| T-bechilln vs Zafina | 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.