| K_lord77 vs Steve | 21–8 | 72.41% |
| K_lord77 vs King | 14–12 | 53.85% |
| K_lord77 vs Law | 7–13 | 35.00% |
| K_lord77 vs Kazuya | 6–12 | 33.33% |
| K_lord77 vs Reina | 13–5 | 72.22% |
| K_lord77 vs Hwoarang | 11–5 | 68.75% |
| K_lord77 vs Zafina | 5–10 | 33.33% |
| K_lord77 vs Jin | 4–10 | 28.57% |
| K_lord77 vs Eddy | 8–5 | 61.54% |
| K_lord77 vs Azucena | 9–3 | 75.00% |
| K_lord77 vs Devil Jin | 9–2 | 81.82% |
| K_lord77 vs Jun | 6–5 | 54.55% |
| K_lord77 vs Heihachi | 3–6 | 33.33% |
| K_lord77 vs Alisa | 3–5 | 37.50% |
| K_lord77 vs Yoshimitsu | 1–6 | 14.29% |
| K_lord77 vs Lili | 4–3 | 57.14% |
| K_lord77 vs Lars | 3–4 | 42.86% |
| K_lord77 vs Clive | 6–0 | 100.00% |
| K_lord77 vs Paul | 2–3 | 40.00% |
| K_lord77 vs Dragunov | 2–3 | 40.00% |
| K_lord77 vs Bryan | 2–2 | 50.00% |
| K_lord77 vs Asuka | 4–0 | 100.00% |
| K_lord77 vs Claudio | 4–0 | 100.00% |
| K_lord77 vs Kuma | 4–0 | 100.00% |
| K_lord77 vs Leroy | 2–2 | 50.00% |
| K_lord77 vs Victor | 3–1 | 75.00% |
| K_lord77 vs Xiaoyu | 0–3 | 0.00% |
| K_lord77 vs Nina | 2–1 | 66.67% |
| K_lord77 vs Raven | 1–2 | 33.33% |
| K_lord77 vs Jack-8 | 0–2 | 0.00% |
| K_lord77 vs Feng | 0–2 | 0.00% |
| K_lord77 vs Lee | 2–0 | 100.00% |
| K_lord77 vs Lidia | 2–0 | 100.00% |
| K_lord77 vs Anna | 0–2 | 0.00% |
| K_lord77 vs Shaheen | 1–0 | 100.00% |
| K_lord77 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.