| TTV/KTHULU_Z1 vs Kazuya | 62–63 | 49.60% |
| TTV/KTHULU_Z1 vs Bryan | 44–52 | 45.83% |
| TTV/KTHULU_Z1 vs King | 28–43 | 39.44% |
| TTV/KTHULU_Z1 vs Yoshimitsu | 31–35 | 46.97% |
| TTV/KTHULU_Z1 vs Jin | 32–26 | 55.17% |
| TTV/KTHULU_Z1 vs Dragunov | 24–33 | 42.11% |
| TTV/KTHULU_Z1 vs Reina | 31–26 | 54.39% |
| TTV/KTHULU_Z1 vs Hwoarang | 20–23 | 46.51% |
| TTV/KTHULU_Z1 vs Steve | 17–24 | 41.46% |
| TTV/KTHULU_Z1 vs Eddy | 13–26 | 33.33% |
| TTV/KTHULU_Z1 vs Law | 15–23 | 39.47% |
| TTV/KTHULU_Z1 vs Devil Jin | 14–20 | 41.18% |
| TTV/KTHULU_Z1 vs Lili | 20–13 | 60.61% |
| TTV/KTHULU_Z1 vs Lee | 10–23 | 30.30% |
| TTV/KTHULU_Z1 vs Azucena | 14–17 | 45.16% |
| TTV/KTHULU_Z1 vs Paul | 13–17 | 43.33% |
| TTV/KTHULU_Z1 vs Feng | 11–17 | 39.29% |
| TTV/KTHULU_Z1 vs Lars | 16–10 | 61.54% |
| TTV/KTHULU_Z1 vs Jun | 15–11 | 57.69% |
| TTV/KTHULU_Z1 vs Asuka | 4–17 | 19.05% |
| TTV/KTHULU_Z1 vs Alisa | 7–13 | 35.00% |
| TTV/KTHULU_Z1 vs Nina | 6–10 | 37.50% |
| TTV/KTHULU_Z1 vs Jack-8 | 9–6 | 60.00% |
| TTV/KTHULU_Z1 vs Kuma | 10–2 | 83.33% |
| TTV/KTHULU_Z1 vs Xiaoyu | 6–5 | 54.55% |
| TTV/KTHULU_Z1 vs Zafina | 3–7 | 30.00% |
| TTV/KTHULU_Z1 vs Claudio | 2–7 | 22.22% |
| TTV/KTHULU_Z1 vs Leroy | 5–4 | 55.56% |
| TTV/KTHULU_Z1 vs Victor | 5–3 | 62.50% |
| TTV/KTHULU_Z1 vs Raven | 3–5 | 37.50% |
| TTV/KTHULU_Z1 vs Leo | 1–6 | 14.29% |
| TTV/KTHULU_Z1 vs Shaheen | 5–2 | 71.43% |
| TTV/KTHULU_Z1 vs Clive | 3–4 | 42.86% |
| TTV/KTHULU_Z1 vs Heihachi | 0–4 | 0.00% |
| TTV/KTHULU_Z1 vs Lidia | 2–1 | 66.67% |
| TTV/KTHULU_Z1 vs Panda | 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.