| KJB.Trickster vs Jin | 95–99 | 48.97% |
| KJB.Trickster vs Dragunov | 94–94 | 50.00% |
| KJB.Trickster vs Kazuya | 79–90 | 46.75% |
| KJB.Trickster vs Reina | 81–85 | 48.80% |
| KJB.Trickster vs King | 65–64 | 50.39% |
| KJB.Trickster vs Yoshimitsu | 39–56 | 41.05% |
| KJB.Trickster vs Steve | 43–50 | 46.24% |
| KJB.Trickster vs Bryan | 30–53 | 36.14% |
| KJB.Trickster vs Lili | 40–43 | 48.19% |
| KJB.Trickster vs Victor | 40–43 | 48.19% |
| KJB.Trickster vs Hwoarang | 39–41 | 48.75% |
| KJB.Trickster vs Devil Jin | 33–42 | 44.00% |
| KJB.Trickster vs Paul | 29–45 | 39.19% |
| KJB.Trickster vs Jun | 35–35 | 50.00% |
| KJB.Trickster vs Eddy | 28–37 | 43.08% |
| KJB.Trickster vs Azucena | 32–23 | 58.18% |
| KJB.Trickster vs Leroy | 21–33 | 38.89% |
| KJB.Trickster vs Lars | 22–30 | 42.31% |
| KJB.Trickster vs Alisa | 23–25 | 47.92% |
| KJB.Trickster vs Xiaoyu | 19–28 | 40.43% |
| KJB.Trickster vs Law | 23–23 | 50.00% |
| KJB.Trickster vs Feng | 16–29 | 35.56% |
| KJB.Trickster vs Asuka | 26–18 | 59.09% |
| KJB.Trickster vs Nina | 12–24 | 33.33% |
| KJB.Trickster vs Lee | 12–24 | 33.33% |
| KJB.Trickster vs Leo | 10–15 | 40.00% |
| KJB.Trickster vs Claudio | 10–15 | 40.00% |
| KJB.Trickster vs Jack-8 | 7–15 | 31.82% |
| KJB.Trickster vs Kuma | 12–6 | 66.67% |
| KJB.Trickster vs Zafina | 2–15 | 11.76% |
| KJB.Trickster vs Shaheen | 8–7 | 53.33% |
| KJB.Trickster vs Clive | 4–11 | 26.67% |
| KJB.Trickster vs Raven | 1–10 | 9.09% |
| KJB.Trickster vs Panda | 4–1 | 80.00% |
| KJB.Trickster vs Fahkumram | 2–1 | 66.67% |
| KJB.Trickster vs Lidia | 0–2 | 0.00% |
| KJB.Trickster vs Heihachi | 0–2 | 0.00% |
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.