Name history
| Jhin | |
| Merry Christmas | |
| Violet | |
| CasinoGame | |
| Luke Sucks Eggs | |
| Guess Again/*)> | |
| Clem Fandango | |
| JFK Shot First | |
| Skip Intro PLS | |
| qcf3 abuser | |
| Dewgong |
| Jhin vs Kazuya | 79–92 | 46.20% |
| Jhin vs Jin | 67–82 | 44.97% |
| Jhin vs Law | 65–59 | 52.42% |
| Jhin vs King | 51–69 | 42.50% |
| Jhin vs Steve | 55–62 | 47.01% |
| Jhin vs Heihachi | 60–54 | 52.63% |
| Jhin vs Bryan | 54–51 | 51.43% |
| Jhin vs Reina | 41–48 | 46.07% |
| Jhin vs Hwoarang | 33–50 | 39.76% |
| Jhin vs Dragunov | 36–45 | 44.44% |
| Jhin vs Lili | 29–48 | 37.66% |
| Jhin vs Jun | 35–39 | 47.30% |
| Jhin vs Paul | 25–43 | 36.76% |
| Jhin vs Lars | 34–27 | 55.74% |
| Jhin vs Yoshimitsu | 34–25 | 57.63% |
| Jhin vs Asuka | 35–24 | 59.32% |
| Jhin vs Azucena | 30–28 | 51.72% |
| Jhin vs Nina | 32–25 | 56.14% |
| Jhin vs Eddy | 25–22 | 53.19% |
| Jhin vs Clive | 20–26 | 43.48% |
| Jhin vs Lee | 24–20 | 54.55% |
| Jhin vs Armor King | 22–22 | 50.00% |
| Jhin vs Fahkumram | 16–25 | 39.02% |
| Jhin vs Alisa | 14–21 | 40.00% |
| Jhin vs Victor | 14–21 | 40.00% |
| Jhin vs Jack-8 | 16–15 | 51.61% |
| Jhin vs Devil Jin | 15–16 | 48.39% |
| Jhin vs Feng | 14–15 | 48.28% |
| Jhin vs Leroy | 12–17 | 41.38% |
| Jhin vs Xiaoyu | 9–19 | 32.14% |
| Jhin vs Miary Zo | 10–15 | 40.00% |
| Jhin vs Claudio | 11–9 | 55.00% |
| Jhin vs Leo | 10–9 | 52.63% |
| Jhin vs Anna | 12–7 | 63.16% |
| Jhin vs Lidia | 7–10 | 41.18% |
| Jhin vs Kuma | 7–9 | 43.75% |
| Jhin vs Shaheen | 7–8 | 46.67% |
| Jhin vs Zafina | 6–8 | 42.86% |
| Jhin vs Raven | 4–8 | 33.33% |
| Jhin vs Panda | 2–5 | 28.57% |
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.