| Job1 vs King | 27–35 | 43.55% |
| Job1 vs Armor King | 25–23 | 52.08% |
| Job1 vs Reina | 17–23 | 42.50% |
| Job1 vs Law | 12–23 | 34.29% |
| Job1 vs Steve | 18–15 | 54.55% |
| Job1 vs Hwoarang | 9–23 | 28.12% |
| Job1 vs Dragunov | 9–22 | 29.03% |
| Job1 vs Fahkumram | 12–19 | 38.71% |
| Job1 vs Asuka | 13–17 | 43.33% |
| Job1 vs Lili | 14–14 | 50.00% |
| Job1 vs Bryan | 7–17 | 29.17% |
| Job1 vs Victor | 12–12 | 50.00% |
| Job1 vs Lee | 16–7 | 69.57% |
| Job1 vs Jun | 9–14 | 39.13% |
| Job1 vs Eddy | 10–12 | 45.45% |
| Job1 vs Lidia | 13–9 | 59.09% |
| Job1 vs Jin | 7–14 | 33.33% |
| Job1 vs Kazuya | 5–16 | 23.81% |
| Job1 vs Clive | 7–13 | 35.00% |
| Job1 vs Raven | 5–12 | 29.41% |
| Job1 vs Leroy | 10–6 | 62.50% |
| Job1 vs Miary Zo | 8–8 | 50.00% |
| Job1 vs Nina | 4–9 | 30.77% |
| Job1 vs Yoshimitsu | 7–5 | 58.33% |
| Job1 vs Xiaoyu | 4–8 | 33.33% |
| Job1 vs Azucena | 6–6 | 50.00% |
| Job1 vs Zafina | 5–6 | 45.45% |
| Job1 vs Heihachi | 3–8 | 27.27% |
| Job1 vs Alisa | 5–5 | 50.00% |
| Job1 vs Devil Jin | 1–8 | 11.11% |
| Job1 vs Paul | 0–8 | 0.00% |
| Job1 vs Feng | 3–4 | 42.86% |
| Job1 vs Anna | 2–5 | 28.57% |
| Job1 vs Leo | 0–6 | 0.00% |
| Job1 vs Jack-8 | 2–3 | 40.00% |
| Job1 vs Lars | 0–4 | 0.00% |
| Job1 vs Kuma | 0–4 | 0.00% |
| Job1 vs Claudio | 0–2 | 0.00% |
| Job1 vs Panda | 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.