| Gnarkill88 vs King | 12–10 | 54.55% |
| Gnarkill88 vs Reina | 13–9 | 59.09% |
| Gnarkill88 vs Jin | 4–10 | 28.57% |
| Gnarkill88 vs Law | 4–4 | 50.00% |
| Gnarkill88 vs Dragunov | 1–6 | 14.29% |
| Gnarkill88 vs Jun | 5–2 | 71.43% |
| Gnarkill88 vs Hwoarang | 0–6 | 0.00% |
| Gnarkill88 vs Kazuya | 1–5 | 16.67% |
| Gnarkill88 vs Heihachi | 2–4 | 33.33% |
| Gnarkill88 vs Clive | 2–4 | 33.33% |
| Gnarkill88 vs Steve | 2–3 | 40.00% |
| Gnarkill88 vs Anna | 4–1 | 80.00% |
| Gnarkill88 vs Bryan | 2–2 | 50.00% |
| Gnarkill88 vs Lili | 0–4 | 0.00% |
| Gnarkill88 vs Leo | 1–3 | 25.00% |
| Gnarkill88 vs Nina | 2–2 | 50.00% |
| Gnarkill88 vs Zafina | 3–1 | 75.00% |
| Gnarkill88 vs Victor | 3–0 | 100.00% |
| Gnarkill88 vs Fahkumram | 1–2 | 33.33% |
| Gnarkill88 vs Yoshimitsu | 2–0 | 100.00% |
| Gnarkill88 vs Xiaoyu | 1–1 | 50.00% |
| Gnarkill88 vs Jack-8 | 0–2 | 0.00% |
| Gnarkill88 vs Asuka | 0–2 | 0.00% |
| Gnarkill88 vs Feng | 0–2 | 0.00% |
| Gnarkill88 vs Claudio | 2–0 | 100.00% |
| Gnarkill88 vs Lee | 1–1 | 50.00% |
| Gnarkill88 vs Kuma | 1–1 | 50.00% |
| Gnarkill88 vs Azucena | 2–0 | 100.00% |
| Gnarkill88 vs Lidia | 1–1 | 50.00% |
| Gnarkill88 vs Paul | 0–1 | 0.00% |
| Gnarkill88 vs Lars | 0–1 | 0.00% |
| Gnarkill88 vs Alisa | 0–1 | 0.00% |
| Gnarkill88 vs Leroy | 0–1 | 0.00% |
| Gnarkill88 vs Eddy | 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.