| t0bl00d vs Jin | 37–32 | 53.62% |
| t0bl00d vs Kazuya | 26–28 | 48.15% |
| t0bl00d vs King | 23–19 | 54.76% |
| t0bl00d vs Hwoarang | 16–19 | 45.71% |
| t0bl00d vs Bryan | 17–17 | 50.00% |
| t0bl00d vs Law | 22–10 | 68.75% |
| t0bl00d vs Steve | 16–16 | 50.00% |
| t0bl00d vs Reina | 19–9 | 67.86% |
| t0bl00d vs Devil Jin | 9–17 | 34.62% |
| t0bl00d vs Dragunov | 12–14 | 46.15% |
| t0bl00d vs Lili | 7–18 | 28.00% |
| t0bl00d vs Paul | 9–14 | 39.13% |
| t0bl00d vs Azucena | 16–7 | 69.57% |
| t0bl00d vs Lee | 9–12 | 42.86% |
| t0bl00d vs Asuka | 11–9 | 55.00% |
| t0bl00d vs Nina | 11–9 | 55.00% |
| t0bl00d vs Jack-8 | 11–7 | 61.11% |
| t0bl00d vs Yoshimitsu | 5–11 | 31.25% |
| t0bl00d vs Xiaoyu | 9–6 | 60.00% |
| t0bl00d vs Claudio | 6–9 | 40.00% |
| t0bl00d vs Victor | 5–10 | 33.33% |
| t0bl00d vs Feng | 6–8 | 42.86% |
| t0bl00d vs Eddy | 7–7 | 50.00% |
| t0bl00d vs Alisa | 6–7 | 46.15% |
| t0bl00d vs Jun | 7–6 | 53.85% |
| t0bl00d vs Shaheen | 5–6 | 45.45% |
| t0bl00d vs Leroy | 4–7 | 36.36% |
| t0bl00d vs Heihachi | 6–2 | 75.00% |
| t0bl00d vs Lars | 4–3 | 57.14% |
| t0bl00d vs Clive | 5–2 | 71.43% |
| t0bl00d vs Anna | 3–4 | 42.86% |
| t0bl00d vs Leo | 1–4 | 20.00% |
| t0bl00d vs Zafina | 4–1 | 80.00% |
| t0bl00d vs Raven | 2–0 | 100.00% |
| t0bl00d vs Lidia | 1–1 | 50.00% |
| t0bl00d vs Panda | 0–1 | 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.