| Jarzyna vs Jin | 333–389 | 46.12% |
| Jarzyna vs Kazuya | 333–301 | 52.52% |
| Jarzyna vs Bryan | 290–307 | 48.58% |
| Jarzyna vs Hwoarang | 301–290 | 50.93% |
| Jarzyna vs Heihachi | 255–297–1 | 46.20% |
| Jarzyna vs Reina | 262–249 | 51.27% |
| Jarzyna vs King | 206–277 | 42.65% |
| Jarzyna vs Paul | 223–232 | 49.01% |
| Jarzyna vs Yoshimitsu | 250–201 | 55.43% |
| Jarzyna vs Dragunov | 222–228 | 49.33% |
| Jarzyna vs Law | 206–241 | 46.09% |
| Jarzyna vs Devil Jin | 183–213 | 46.21% |
| Jarzyna vs Lili | 154–173 | 47.09% |
| Jarzyna vs Steve | 169–143 | 54.17% |
| Jarzyna vs Lee | 125–185 | 40.32% |
| Jarzyna vs Jun | 119–128 | 48.18% |
| Jarzyna vs Azucena | 141–103 | 57.79% |
| Jarzyna vs Victor | 109–131 | 45.42% |
| Jarzyna vs Feng | 85–147 | 36.64% |
| Jarzyna vs Nina | 101–130 | 43.72% |
| Jarzyna vs Asuka | 94–123 | 43.32% |
| Jarzyna vs Lars | 94–116 | 44.76% |
| Jarzyna vs Xiaoyu | 85–104 | 44.97% |
| Jarzyna vs Eddy | 80–103 | 43.72% |
| Jarzyna vs Clive | 72–97 | 42.60% |
| Jarzyna vs Alisa | 67–97 | 40.85% |
| Jarzyna vs Jack-8 | 72–87 | 45.28% |
| Jarzyna vs Leroy | 73–85 | 46.20% |
| Jarzyna vs Leo | 66–90 | 42.31% |
| Jarzyna vs Raven | 54–84 | 39.13% |
| Jarzyna vs Claudio | 66–67 | 49.62% |
| Jarzyna vs Zafina | 57–76 | 42.86% |
| Jarzyna vs Lidia | 60–72 | 45.45% |
| Jarzyna vs Kuma | 42–55 | 43.30% |
| Jarzyna vs Shaheen | 32–47 | 40.51% |
| Jarzyna vs Panda | 25–18 | 58.14% |
| Jarzyna vs Anna | 6–14 | 30.00% |
| Jarzyna vs Armor King | 4–4 | 50.00% |
| Jarzyna vs Fahkumram | 2–2 | 50.00% |
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.