| vr1k_guy vs Kazuya | 18–22 | 45.00% |
| vr1k_guy vs King | 16–16 | 50.00% |
| vr1k_guy vs Paul | 14–10 | 58.33% |
| vr1k_guy vs Yoshimitsu | 11–12 | 47.83% |
| vr1k_guy vs Steve | 11–12 | 47.83% |
| vr1k_guy vs Reina | 10–13 | 43.48% |
| vr1k_guy vs Dragunov | 8–14 | 36.36% |
| vr1k_guy vs Hwoarang | 8–13 | 38.10% |
| vr1k_guy vs Bryan | 9–12 | 42.86% |
| vr1k_guy vs Asuka | 9–10 | 47.37% |
| vr1k_guy vs Jin | 4–14 | 22.22% |
| vr1k_guy vs Alisa | 6–11 | 35.29% |
| vr1k_guy vs Heihachi | 8–9 | 47.06% |
| vr1k_guy vs Xiaoyu | 6–10 | 37.50% |
| vr1k_guy vs Azucena | 3–12 | 20.00% |
| vr1k_guy vs Devil Jin | 4–9 | 30.77% |
| vr1k_guy vs Jun | 7–6 | 53.85% |
| vr1k_guy vs Victor | 8–5 | 61.54% |
| vr1k_guy vs Eddy | 4–8 | 33.33% |
| vr1k_guy vs Law | 5–6 | 45.45% |
| vr1k_guy vs Lee | 4–6 | 40.00% |
| vr1k_guy vs Lili | 4–5 | 44.44% |
| vr1k_guy vs Lars | 2–7 | 22.22% |
| vr1k_guy vs Leroy | 4–5 | 44.44% |
| vr1k_guy vs Panda | 4–4 | 50.00% |
| vr1k_guy vs Claudio | 3–4 | 42.86% |
| vr1k_guy vs Nina | 4–3 | 57.14% |
| vr1k_guy vs Clive | 3–4 | 42.86% |
| vr1k_guy vs Feng | 5–1 | 83.33% |
| vr1k_guy vs Anna | 3–3 | 50.00% |
| vr1k_guy vs Shaheen | 1–4 | 20.00% |
| vr1k_guy vs Zafina | 2–2 | 50.00% |
| vr1k_guy vs Jack-8 | 0–2 | 0.00% |
| vr1k_guy vs Fahkumram | 2–0 | 100.00% |
| vr1k_guy vs Leo | 1–0 | 100.00% |
| vr1k_guy vs Lidia | 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.