| HansGachio vs Armor King | 59–58 | 50.43% |
| HansGachio vs Kazuya | 47–48 | 49.47% |
| HansGachio vs Jin | 50–40 | 55.56% |
| HansGachio vs Steve | 49–34 | 59.04% |
| HansGachio vs Hwoarang | 32–34 | 48.48% |
| HansGachio vs Reina | 32–33 | 49.23% |
| HansGachio vs King | 29–31 | 48.33% |
| HansGachio vs Law | 28–30 | 48.28% |
| HansGachio vs Miary Zo | 25–26 | 49.02% |
| HansGachio vs Paul | 24–23 | 51.06% |
| HansGachio vs Bryan | 28–19 | 59.57% |
| HansGachio vs Devil Jin | 23–24 | 48.94% |
| HansGachio vs Heihachi | 19–25 | 43.18% |
| HansGachio vs Dragunov | 17–25 | 40.48% |
| HansGachio vs Lili | 16–24 | 40.00% |
| HansGachio vs Asuka | 12–16 | 42.86% |
| HansGachio vs Lidia | 10–18 | 35.71% |
| HansGachio vs Fahkumram | 17–11 | 60.71% |
| HansGachio vs Yoshimitsu | 16–11 | 59.26% |
| HansGachio vs Feng | 10–15 | 40.00% |
| HansGachio vs Lars | 9–16 | 36.00% |
| HansGachio vs Nina | 15–9 | 62.50% |
| HansGachio vs Victor | 13–9 | 59.09% |
| HansGachio vs Anna | 11–10 | 52.38% |
| HansGachio vs Lee | 8–10 | 44.44% |
| HansGachio vs Leroy | 4–13 | 23.53% |
| HansGachio vs Jun | 6–10 | 37.50% |
| HansGachio vs Azucena | 3–10 | 23.08% |
| HansGachio vs Eddy | 3–10 | 23.08% |
| HansGachio vs Alisa | 6–6 | 50.00% |
| HansGachio vs Xiaoyu | 6–5 | 54.55% |
| HansGachio vs Leo | 6–4 | 60.00% |
| HansGachio vs Clive | 6–4 | 60.00% |
| HansGachio vs Claudio | 5–4 | 55.56% |
| HansGachio vs Raven | 4–5 | 44.44% |
| HansGachio vs Jack-8 | 2–5 | 28.57% |
| HansGachio vs Zafina | 1–5 | 16.67% |
| HansGachio vs Panda | 2–3 | 40.00% |
| HansGachio vs Shaheen | 1–2 | 33.33% |
| HansGachio vs Kuma | 1–1 | 50.00% |
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.