| iJoK3rr vs Kazuya | 130–126 | 50.78% |
| iJoK3rr vs Jin | 102–121 | 45.74% |
| iJoK3rr vs Bryan | 108–115 | 48.43% |
| iJoK3rr vs Reina | 101–113 | 47.20% |
| iJoK3rr vs King | 113–94 | 54.59% |
| iJoK3rr vs Steve | 70–102 | 40.70% |
| iJoK3rr vs Paul | 85–57 | 59.86% |
| iJoK3rr vs Heihachi | 65–64 | 50.39% |
| iJoK3rr vs Lili | 50–76 | 39.68% |
| iJoK3rr vs Yoshimitsu | 64–57 | 52.89% |
| iJoK3rr vs Law | 52–67 | 43.70% |
| iJoK3rr vs Lee | 48–61 | 44.04% |
| iJoK3rr vs Jun | 52–45 | 53.61% |
| iJoK3rr vs Hwoarang | 34–61 | 35.79% |
| iJoK3rr vs Asuka | 46–48 | 48.94% |
| iJoK3rr vs Dragunov | 41–46 | 47.13% |
| iJoK3rr vs Lidia | 45–41 | 52.33% |
| iJoK3rr vs Xiaoyu | 23–54 | 29.87% |
| iJoK3rr vs Victor | 30–43 | 41.10% |
| iJoK3rr vs Devil Jin | 29–41 | 41.43% |
| iJoK3rr vs Jack-8 | 25–37 | 40.32% |
| iJoK3rr vs Azucena | 26–35 | 42.62% |
| iJoK3rr vs Eddy | 29–31 | 48.33% |
| iJoK3rr vs Feng | 26–27 | 49.06% |
| iJoK3rr vs Nina | 25–28 | 47.17% |
| iJoK3rr vs Lars | 17–34 | 33.33% |
| iJoK3rr vs Leo | 24–21 | 53.33% |
| iJoK3rr vs Clive | 17–26 | 39.53% |
| iJoK3rr vs Alisa | 13–28 | 31.71% |
| iJoK3rr vs Claudio | 14–23 | 37.84% |
| iJoK3rr vs Leroy | 22–15 | 59.46% |
| iJoK3rr vs Raven | 18–19 | 48.65% |
| iJoK3rr vs Kuma | 12–18 | 40.00% |
| iJoK3rr vs Armor King | 15–15 | 50.00% |
| iJoK3rr vs Shaheen | 17–10 | 62.96% |
| iJoK3rr vs Fahkumram | 9–15 | 37.50% |
| iJoK3rr vs Zafina | 10–11 | 47.62% |
| iJoK3rr vs Panda | 7–12 | 36.84% |
| iJoK3rr vs Anna | 5–6 | 45.45% |
| iJoK3rr vs Miary Zo | 3–0 | 100.00% |
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.