| JTM|jet'aime vs Kazuya | 56–32 | 63.64% |
| JTM|jet'aime vs King | 35–33 | 51.47% |
| JTM|jet'aime vs Heihachi | 29–35 | 45.31% |
| JTM|jet'aime vs Bryan | 40–22 | 64.52% |
| JTM|jet'aime vs Jin | 23–36 | 38.98% |
| JTM|jet'aime vs Hwoarang | 35–22 | 61.40% |
| JTM|jet'aime vs Steve | 27–30 | 47.37% |
| JTM|jet'aime vs Armor King | 27–28 | 49.09% |
| JTM|jet'aime vs Dragunov | 31–22 | 58.49% |
| JTM|jet'aime vs Reina | 20–29 | 40.82% |
| JTM|jet'aime vs Paul | 23–22 | 51.11% |
| JTM|jet'aime vs Lili | 30–14 | 68.18% |
| JTM|jet'aime vs Devil Jin | 23–16 | 58.97% |
| JTM|jet'aime vs Law | 21–14 | 60.00% |
| JTM|jet'aime vs Yoshimitsu | 16–17 | 48.48% |
| JTM|jet'aime vs Jun | 11–19 | 36.67% |
| JTM|jet'aime vs Feng | 18–10 | 64.29% |
| JTM|jet'aime vs Xiaoyu | 14–13 | 51.85% |
| JTM|jet'aime vs Lee | 18–8 | 69.23% |
| JTM|jet'aime vs Eddy | 14–12 | 53.85% |
| JTM|jet'aime vs Fahkumram | 14–9 | 60.87% |
| JTM|jet'aime vs Asuka | 12–10 | 54.55% |
| JTM|jet'aime vs Azucena | 7–12 | 36.84% |
| JTM|jet'aime vs Nina | 10–8 | 55.56% |
| JTM|jet'aime vs Raven | 12–6 | 66.67% |
| JTM|jet'aime vs Jack-8 | 7–9 | 43.75% |
| JTM|jet'aime vs Alisa | 8–8 | 50.00% |
| JTM|jet'aime vs Leo | 7–8 | 46.67% |
| JTM|jet'aime vs Lars | 11–4 | 73.33% |
| JTM|jet'aime vs Victor | 7–7 | 50.00% |
| JTM|jet'aime vs Lidia | 6–6 | 50.00% |
| JTM|jet'aime vs Shaheen | 6–4 | 60.00% |
| JTM|jet'aime vs Anna | 6–4 | 60.00% |
| JTM|jet'aime vs Claudio | 6–1 | 85.71% |
| JTM|jet'aime vs Leroy | 4–3 | 57.14% |
| JTM|jet'aime vs Clive | 6–1 | 85.71% |
| JTM|jet'aime vs Zafina | 4–0 | 100.00% |
| JTM|jet'aime vs Kuma | 2–1 | 66.67% |
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.