| Jtrilla vs King | 101–183 | 35.56% |
| Jtrilla vs Reina | 119–133 | 47.22% |
| Jtrilla vs Jin | 81–166 | 32.79% |
| Jtrilla vs Steve | 87–142 | 37.99% |
| Jtrilla vs Kazuya | 75–129 | 36.76% |
| Jtrilla vs Bryan | 65–101 | 39.16% |
| Jtrilla vs Hwoarang | 55–105 | 34.38% |
| Jtrilla vs Jun | 58–98 | 37.18% |
| Jtrilla vs Eddy | 51–87 | 36.96% |
| Jtrilla vs Lili | 59–77 | 43.38% |
| Jtrilla vs Law | 52–82 | 38.81% |
| Jtrilla vs Yoshimitsu | 47–80 | 37.01% |
| Jtrilla vs Dragunov | 45–81 | 35.71% |
| Jtrilla vs Asuka | 47–74 | 38.84% |
| Jtrilla vs Lidia | 43–63 | 40.57% |
| Jtrilla vs Azucena | 42–59 | 41.58% |
| Jtrilla vs Lee | 34–66 | 34.00% |
| Jtrilla vs Paul | 30–62 | 32.61% |
| Jtrilla vs Xiaoyu | 43–45 | 48.86% |
| Jtrilla vs Leroy | 33–55 | 37.50% |
| Jtrilla vs Devil Jin | 34–47 | 41.98% |
| Jtrilla vs Lars | 22–55 | 28.57% |
| Jtrilla vs Nina | 32–44 | 42.11% |
| Jtrilla vs Victor | 30–45 | 40.00% |
| Jtrilla vs Raven | 29–44 | 39.73% |
| Jtrilla vs Feng | 21–45 | 31.82% |
| Jtrilla vs Leo | 30–36 | 45.45% |
| Jtrilla vs Heihachi | 28–38 | 42.42% |
| Jtrilla vs Jack-8 | 23–40 | 36.51% |
| Jtrilla vs Armor King | 25–32 | 43.86% |
| Jtrilla vs Clive | 21–29 | 42.00% |
| Jtrilla vs Claudio | 15–33 | 31.25% |
| Jtrilla vs Kuma | 11–35 | 23.91% |
| Jtrilla vs Fahkumram | 15–28 | 34.88% |
| Jtrilla vs Alisa | 15–25 | 37.50% |
| Jtrilla vs Shaheen | 15–22 | 40.54% |
| Jtrilla vs Zafina | 17–17 | 50.00% |
| Jtrilla vs Panda | 6–13 | 31.58% |
| Jtrilla vs Miary Zo | 7–11 | 38.89% |
| Jtrilla vs Anna | 6–4 | 60.00% |
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.