| jsm10105 vs Hwoarang | 73–63 | 53.68% |
| jsm10105 vs Bryan | 68–46 | 59.65% |
| jsm10105 vs Jin | 76–31 | 71.03% |
| jsm10105 vs Heihachi | 61–39 | 61.00% |
| jsm10105 vs Kazuya | 54–40 | 57.45% |
| jsm10105 vs Dragunov | 52–39 | 57.14% |
| jsm10105 vs Steve | 48–41 | 53.93% |
| jsm10105 vs Armor King | 49–35 | 58.33% |
| jsm10105 vs Paul | 46–34 | 57.50% |
| jsm10105 vs Asuka | 40–40 | 50.00% |
| jsm10105 vs King | 43–35 | 55.13% |
| jsm10105 vs Devil Jin | 43–35 | 55.13% |
| jsm10105 vs Lars | 32–38 | 45.71% |
| jsm10105 vs Reina | 41–25 | 62.12% |
| jsm10105 vs Victor | 34–25 | 57.63% |
| jsm10105 vs Claudio | 33–22 | 60.00% |
| jsm10105 vs Jack-8 | 31–23 | 57.41% |
| jsm10105 vs Law | 30–22 | 57.69% |
| jsm10105 vs Leroy | 27–25 | 51.92% |
| jsm10105 vs Azucena | 26–26 | 50.00% |
| jsm10105 vs Lee | 30–21 | 58.82% |
| jsm10105 vs Lili | 31–19 | 62.00% |
| jsm10105 vs Jun | 25–24 | 51.02% |
| jsm10105 vs Shaheen | 24–22 | 52.17% |
| jsm10105 vs Yoshimitsu | 21–23 | 47.73% |
| jsm10105 vs Feng | 25–18 | 58.14% |
| jsm10105 vs Eddy | 22–21 | 51.16% |
| jsm10105 vs Nina | 16–24 | 40.00% |
| jsm10105 vs Raven | 18–21 | 46.15% |
| jsm10105 vs Lidia | 15–16 | 48.39% |
| jsm10105 vs Anna | 20–10 | 66.67% |
| jsm10105 vs Kuma | 20–9 | 68.97% |
| jsm10105 vs Zafina | 18–9 | 66.67% |
| jsm10105 vs Alisa | 13–11 | 54.17% |
| jsm10105 vs Fahkumram | 10–14 | 41.67% |
| jsm10105 vs Clive | 14–8 | 63.64% |
| jsm10105 vs Leo | 10–11 | 47.62% |
| jsm10105 vs Xiaoyu | 8–11 | 42.11% |
| jsm10105 vs Panda | 3–4 | 42.86% |
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.