| Gunko vs Dragunov | 28–12 | 70.00% |
| Gunko vs Armor King | 14–18 | 43.75% |
| Gunko vs Jin | 26–4 | 86.67% |
| Gunko vs Bryan | 20–9 | 68.97% |
| Gunko vs King | 21–6 | 77.78% |
| Gunko vs Feng | 18–9 | 66.67% |
| Gunko vs Kazuya | 10–16 | 38.46% |
| Gunko vs Law | 17–8 | 68.00% |
| Gunko vs Hwoarang | 14–10 | 58.33% |
| Gunko vs Paul | 11–12 | 47.83% |
| Gunko vs Anna | 13–7 | 65.00% |
| Gunko vs Heihachi | 12–6 | 66.67% |
| Gunko vs Yoshimitsu | 9–7 | 56.25% |
| Gunko vs Nina | 12–4 | 75.00% |
| Gunko vs Lee | 9–7 | 56.25% |
| Gunko vs Azucena | 7–6 | 53.85% |
| Gunko vs Lars | 5–5 | 50.00% |
| Gunko vs Reina | 4–6 | 40.00% |
| Gunko vs Steve | 6–3 | 66.67% |
| Gunko vs Asuka | 4–5 | 44.44% |
| Gunko vs Lili | 5–4 | 55.56% |
| Gunko vs Jun | 5–4 | 55.56% |
| Gunko vs Eddy | 6–3 | 66.67% |
| Gunko vs Devil Jin | 4–4 | 50.00% |
| Gunko vs Claudio | 6–2 | 75.00% |
| Gunko vs Leroy | 6–2 | 75.00% |
| Gunko vs Victor | 8–0 | 100.00% |
| Gunko vs Fahkumram | 4–4 | 50.00% |
| Gunko vs Lidia | 4–2 | 66.67% |
| Gunko vs Clive | 2–4 | 33.33% |
| Gunko vs Jack-8 | 5–0 | 100.00% |
| Gunko vs Zafina | 2–3 | 40.00% |
| Gunko vs Leo | 3–1 | 75.00% |
| Gunko vs Raven | 2–2 | 50.00% |
| Gunko vs Alisa | 3–0 | 100.00% |
| Gunko vs Kuma | 2–1 | 66.67% |
| Gunko vs Shaheen | 2–0 | 100.00% |
| Gunko vs Panda | 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.