| J_Ne_Sis_T vs Reina | 8–15 | 34.78% |
| J_Ne_Sis_T vs King | 13–9 | 59.09% |
| J_Ne_Sis_T vs Dragunov | 10–10 | 50.00% |
| J_Ne_Sis_T vs Kazuya | 9–8 | 52.94% |
| J_Ne_Sis_T vs Paul | 5–10 | 33.33% |
| J_Ne_Sis_T vs Jun | 11–3 | 78.57% |
| J_Ne_Sis_T vs Bryan | 6–3 | 66.67% |
| J_Ne_Sis_T vs Heihachi | 4–4 | 50.00% |
| J_Ne_Sis_T vs Law | 4–3 | 57.14% |
| J_Ne_Sis_T vs Lars | 3–4 | 42.86% |
| J_Ne_Sis_T vs Yoshimitsu | 5–1 | 83.33% |
| J_Ne_Sis_T vs Jin | 2–4 | 33.33% |
| J_Ne_Sis_T vs Asuka | 4–2 | 66.67% |
| J_Ne_Sis_T vs Victor | 2–4 | 33.33% |
| J_Ne_Sis_T vs Hwoarang | 1–4 | 20.00% |
| J_Ne_Sis_T vs Feng | 3–2 | 60.00% |
| J_Ne_Sis_T vs Azucena | 3–2 | 60.00% |
| J_Ne_Sis_T vs Xiaoyu | 2–2 | 50.00% |
| J_Ne_Sis_T vs Steve | 2–2 | 50.00% |
| J_Ne_Sis_T vs Devil Jin | 2–2 | 50.00% |
| J_Ne_Sis_T vs Alisa | 0–4 | 0.00% |
| J_Ne_Sis_T vs Leroy | 2–2 | 50.00% |
| J_Ne_Sis_T vs Eddy | 0–4 | 0.00% |
| J_Ne_Sis_T vs Jack-8 | 2–1 | 66.67% |
| J_Ne_Sis_T vs Leo | 1–2 | 33.33% |
| J_Ne_Sis_T vs Zafina | 0–3 | 0.00% |
| J_Ne_Sis_T vs Lili | 2–0 | 100.00% |
| J_Ne_Sis_T vs Lee | 2–0 | 100.00% |
| J_Ne_Sis_T vs Kuma | 0–2 | 0.00% |
| J_Ne_Sis_T vs Anna | 2–0 | 100.00% |
| J_Ne_Sis_T vs Fahkumram | 2–0 | 100.00% |
| J_Ne_Sis_T vs Nina | 1–0 | 100.00% |
| J_Ne_Sis_T vs Clive | 0–1 | 0.00% |
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.