| gnsl0705 vs King | 16–14 | 53.33% |
| gnsl0705 vs Fahkumram | 6–18 | 25.00% |
| gnsl0705 vs Bryan | 13–10 | 56.52% |
| gnsl0705 vs Kazuya | 8–14 | 36.36% |
| gnsl0705 vs Asuka | 7–9 | 43.75% |
| gnsl0705 vs Lili | 4–11 | 26.67% |
| gnsl0705 vs Reina | 5–9 | 35.71% |
| gnsl0705 vs Law | 8–5 | 61.54% |
| gnsl0705 vs Hwoarang | 4–8 | 33.33% |
| gnsl0705 vs Jin | 2–10 | 16.67% |
| gnsl0705 vs Dragunov | 4–7 | 36.36% |
| gnsl0705 vs Yoshimitsu | 5–5 | 50.00% |
| gnsl0705 vs Jun | 7–3 | 70.00% |
| gnsl0705 vs Lars | 3–6 | 33.33% |
| gnsl0705 vs Victor | 4–5 | 44.44% |
| gnsl0705 vs Clive | 2–7 | 22.22% |
| gnsl0705 vs Paul | 3–5 | 37.50% |
| gnsl0705 vs Xiaoyu | 1–7 | 12.50% |
| gnsl0705 vs Claudio | 4–4 | 50.00% |
| gnsl0705 vs Leroy | 3–5 | 37.50% |
| gnsl0705 vs Steve | 1–6 | 14.29% |
| gnsl0705 vs Alisa | 2–5 | 28.57% |
| gnsl0705 vs Lee | 5–2 | 71.43% |
| gnsl0705 vs Anna | 2–5 | 28.57% |
| gnsl0705 vs Jack-8 | 2–4 | 33.33% |
| gnsl0705 vs Feng | 4–0 | 100.00% |
| gnsl0705 vs Nina | 0–4 | 0.00% |
| gnsl0705 vs Kuma | 2–2 | 50.00% |
| gnsl0705 vs Azucena | 2–2 | 50.00% |
| gnsl0705 vs Eddy | 2–2 | 50.00% |
| gnsl0705 vs Devil Jin | 1–2 | 33.33% |
| gnsl0705 vs Leo | 0–3 | 0.00% |
| gnsl0705 vs Heihachi | 2–1 | 66.67% |
| gnsl0705 vs Shaheen | 0–2 | 0.00% |
| gnsl0705 vs Lidia | 2–0 | 100.00% |
| gnsl0705 vs Raven | 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.