| JTchinoy vs Lili | 352–365 | 49.09% |
| JTchinoy vs Hwoarang | 345–273 | 55.83% |
| JTchinoy vs King | 322–248 | 56.49% |
| JTchinoy vs Claudio | 276–287 | 49.02% |
| JTchinoy vs Bryan | 351–191–1 | 64.76% |
| JTchinoy vs Dragunov | 317–212 | 59.92% |
| JTchinoy vs Steve | 292–214 | 57.71% |
| JTchinoy vs Jin | 255–202 | 55.80% |
| JTchinoy vs Devil Jin | 268–173 | 60.77% |
| JTchinoy vs Reina | 211–205 | 50.72% |
| JTchinoy vs Feng | 228–167 | 57.72% |
| JTchinoy vs Kazuya | 234–148 | 61.26% |
| JTchinoy vs Yoshimitsu | 234–143 | 62.07% |
| JTchinoy vs Xiaoyu | 251–120 | 67.65% |
| JTchinoy vs Asuka | 207–151 | 57.82% |
| JTchinoy vs Leo | 181–155 | 53.87% |
| JTchinoy vs Alisa | 194–125 | 60.82% |
| JTchinoy vs Heihachi | 169–150 | 52.98% |
| JTchinoy vs Law | 202–113 | 64.13% |
| JTchinoy vs Victor | 169–136 | 55.41% |
| JTchinoy vs Lee | 170–104 | 62.04% |
| JTchinoy vs Nina | 134–133 | 50.19% |
| JTchinoy vs Raven | 148–119 | 55.43% |
| JTchinoy vs Lidia | 109–150 | 42.08% |
| JTchinoy vs Eddy | 119–138 | 46.30% |
| JTchinoy vs Lars | 136–109 | 55.51% |
| JTchinoy vs Jack-8 | 146–98 | 59.84% |
| JTchinoy vs Kuma | 116–88 | 56.86% |
| JTchinoy vs Anna | 90–112 | 44.55% |
| JTchinoy vs Shaheen | 121–71 | 63.02% |
| JTchinoy vs Zafina | 106–77 | 57.92% |
| JTchinoy vs Jun | 97–74 | 56.73% |
| JTchinoy vs Fahkumram | 98–63 | 60.87% |
| JTchinoy vs Azucena | 99–58 | 63.06% |
| JTchinoy vs Paul | 99–52 | 65.56% |
| JTchinoy vs Leroy | 61–66 | 48.03% |
| JTchinoy vs Clive | 67–58 | 53.60% |
| JTchinoy vs Armor King | 46–27 | 63.01% |
| JTchinoy vs Miary Zo | 30–33 | 47.62% |
| JTchinoy vs Panda | 35–21 | 62.50% |
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.