| Jiwanamu vs Hwoarang | 134–149 | 47.35% |
| Jiwanamu vs Reina | 130–101 | 56.28% |
| Jiwanamu vs Dragunov | 109–115 | 48.66% |
| Jiwanamu vs Kazuya | 112–101 | 52.58% |
| Jiwanamu vs Paul | 98–114 | 46.23% |
| Jiwanamu vs Bryan | 99–104 | 48.77% |
| Jiwanamu vs Yoshimitsu | 106–95 | 52.74% |
| Jiwanamu vs King | 99–89 | 52.66% |
| Jiwanamu vs Asuka | 87–81 | 51.79% |
| Jiwanamu vs Law | 64–98 | 39.51% |
| Jiwanamu vs Victor | 63–93 | 40.38% |
| Jiwanamu vs Lili | 68–83 | 45.03% |
| Jiwanamu vs Jin | 69–81 | 46.00% |
| Jiwanamu vs Steve | 66–75 | 46.81% |
| Jiwanamu vs Xiaoyu | 66–66 | 50.00% |
| Jiwanamu vs Alisa | 48–79–1 | 37.80% |
| Jiwanamu vs Nina | 56–61 | 47.86% |
| Jiwanamu vs Azucena | 63–52 | 54.78% |
| Jiwanamu vs Feng | 49–65 | 42.98% |
| Jiwanamu vs Armor King | 57–52 | 52.29% |
| Jiwanamu vs Lars | 48–57 | 45.71% |
| Jiwanamu vs Jun | 57–48 | 54.29% |
| Jiwanamu vs Devil Jin | 42–61 | 40.78% |
| Jiwanamu vs Claudio | 44–53 | 45.36% |
| Jiwanamu vs Lee | 43–51 | 45.74% |
| Jiwanamu vs Jack-8 | 46–45 | 50.55% |
| Jiwanamu vs Leo | 36–43 | 45.57% |
| Jiwanamu vs Eddy | 33–45 | 42.31% |
| Jiwanamu vs Leroy | 20–55 | 26.67% |
| Jiwanamu vs Zafina | 21–42 | 33.33% |
| Jiwanamu vs Heihachi | 31–31 | 50.00% |
| Jiwanamu vs Kuma | 30–30 | 50.00% |
| Jiwanamu vs Raven | 25–29 | 46.30% |
| Jiwanamu vs Lidia | 19–24 | 44.19% |
| Jiwanamu vs Shaheen | 19–23 | 45.24% |
| Jiwanamu vs Clive | 12–20 | 37.50% |
| Jiwanamu vs Fahkumram | 7–9 | 43.75% |
| Jiwanamu vs Panda | 6–8 | 42.86% |
| Jiwanamu vs Anna | 4–1 | 80.00% |
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.