| JabariTKD vs King | 155–113 | 57.84% |
| JabariTKD vs Bryan | 118–121 | 49.37% |
| JabariTKD vs Kazuya | 100–118 | 45.87% |
| JabariTKD vs Reina | 111–103 | 51.87% |
| JabariTKD vs Jin | 102–84 | 54.84% |
| JabariTKD vs Steve | 103–81 | 55.98% |
| JabariTKD vs Hwoarang | 97–66 | 59.51% |
| JabariTKD vs Lili | 67–91 | 42.41% |
| JabariTKD vs Law | 74–81 | 47.74% |
| JabariTKD vs Yoshimitsu | 71–72 | 49.65% |
| JabariTKD vs Paul | 77–61 | 55.80% |
| JabariTKD vs Dragunov | 61–77 | 44.20% |
| JabariTKD vs Heihachi | 74–53 | 58.27% |
| JabariTKD vs Lee | 57–64 | 47.11% |
| JabariTKD vs Xiaoyu | 55–54 | 50.46% |
| JabariTKD vs Lars | 56–52 | 51.85% |
| JabariTKD vs Nina | 53–52 | 50.48% |
| JabariTKD vs Asuka | 56–45 | 55.45% |
| JabariTKD vs Leo | 51–50 | 50.50% |
| JabariTKD vs Azucena | 56–42 | 57.14% |
| JabariTKD vs Devil Jin | 47–49 | 48.96% |
| JabariTKD vs Victor | 42–37 | 53.16% |
| JabariTKD vs Miary Zo | 41–38 | 51.90% |
| JabariTKD vs Jun | 25–51 | 32.89% |
| JabariTKD vs Feng | 32–40 | 44.44% |
| JabariTKD vs Alisa | 35–36 | 49.30% |
| JabariTKD vs Leroy | 35–31 | 53.03% |
| JabariTKD vs Clive | 36–29 | 55.38% |
| JabariTKD vs Armor King | 30–31 | 49.18% |
| JabariTKD vs Lidia | 28–32 | 46.67% |
| JabariTKD vs Eddy | 26–33 | 44.07% |
| JabariTKD vs Raven | 23–34 | 40.35% |
| JabariTKD vs Claudio | 32–21 | 60.38% |
| JabariTKD vs Shaheen | 25–25 | 50.00% |
| JabariTKD vs Jack-8 | 23–25 | 47.92% |
| JabariTKD vs Kuma | 15–23 | 39.47% |
| JabariTKD vs Anna | 15–23 | 39.47% |
| JabariTKD vs Zafina | 14–21 | 40.00% |
| JabariTKD vs Fahkumram | 13–14 | 48.15% |
| JabariTKD vs Panda | 14–10 | 58.33% |
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.