| hunsang vs Kazuya | 184–214 | 46.23% |
| hunsang vs Hwoarang | 125–215 | 36.76% |
| hunsang vs Paul | 148–178 | 45.40% |
| hunsang vs King | 161–164 | 49.54% |
| hunsang vs Bryan | 147–160 | 47.88% |
| hunsang vs Dragunov | 148–150 | 49.66% |
| hunsang vs Reina | 134–157 | 46.05% |
| hunsang vs Jin | 82–128 | 39.05% |
| hunsang vs Lili | 96–110 | 46.60% |
| hunsang vs Steve | 86–117 | 42.36% |
| hunsang vs Asuka | 88–110 | 44.44% |
| hunsang vs Yoshimitsu | 73–111 | 39.67% |
| hunsang vs Law | 63–114 | 35.59% |
| hunsang vs Victor | 70–97 | 41.92% |
| hunsang vs Azucena | 70–85 | 45.16% |
| hunsang vs Feng | 63–89–1 | 41.45% |
| hunsang vs Jun | 65–85 | 43.33% |
| hunsang vs Lars | 63–78 | 44.68% |
| hunsang vs Heihachi | 71–69 | 50.71% |
| hunsang vs Devil Jin | 75–64 | 53.96% |
| hunsang vs Lidia | 70–62 | 53.03% |
| hunsang vs Claudio | 50–81 | 38.17% |
| hunsang vs Xiaoyu | 54–70 | 43.55% |
| hunsang vs Eddy | 43–77 | 35.83% |
| hunsang vs Alisa | 50–68 | 42.37% |
| hunsang vs Nina | 48–63 | 43.24% |
| hunsang vs Fahkumram | 47–55 | 46.08% |
| hunsang vs Leo | 40–52 | 43.48% |
| hunsang vs Leroy | 33–54 | 37.93% |
| hunsang vs Armor King | 50–37 | 57.47% |
| hunsang vs Lee | 46–37 | 55.42% |
| hunsang vs Clive | 34–45 | 43.04% |
| hunsang vs Jack-8 | 36–38 | 48.65% |
| hunsang vs Kuma | 27–42 | 39.13% |
| hunsang vs Anna | 32–30 | 51.61% |
| hunsang vs Shaheen | 21–32 | 39.62% |
| hunsang vs Raven | 23–18 | 56.10% |
| hunsang vs Zafina | 12–15 | 44.44% |
| hunsang vs Miary Zo | 18–9 | 66.67% |
| hunsang vs Panda | 13–13 | 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.