| zlacker_nan vs Jin | 55–60 | 47.83% |
| zlacker_nan vs Clive | 44–56 | 44.00% |
| zlacker_nan vs King | 57–39 | 59.38% |
| zlacker_nan vs Kazuya | 43–52 | 45.26% |
| zlacker_nan vs Reina | 38–32 | 54.29% |
| zlacker_nan vs Steve | 33–33 | 50.00% |
| zlacker_nan vs Dragunov | 26–31 | 45.61% |
| zlacker_nan vs Bryan | 22–33 | 40.00% |
| zlacker_nan vs Law | 28–20 | 58.33% |
| zlacker_nan vs Armor King | 25–21 | 54.35% |
| zlacker_nan vs Jun | 20–20 | 50.00% |
| zlacker_nan vs Lili | 16–23 | 41.03% |
| zlacker_nan vs Yoshimitsu | 18–19 | 48.65% |
| zlacker_nan vs Hwoarang | 8–29 | 21.62% |
| zlacker_nan vs Heihachi | 14–18 | 43.75% |
| zlacker_nan vs Victor | 17–14 | 54.84% |
| zlacker_nan vs Leo | 10–16 | 38.46% |
| zlacker_nan vs Devil Jin | 5–17 | 22.73% |
| zlacker_nan vs Xiaoyu | 12–8 | 60.00% |
| zlacker_nan vs Lee | 5–15 | 25.00% |
| zlacker_nan vs Paul | 6–13 | 31.58% |
| zlacker_nan vs Feng | 11–7 | 61.11% |
| zlacker_nan vs Asuka | 12–5 | 70.59% |
| zlacker_nan vs Lars | 9–8 | 52.94% |
| zlacker_nan vs Shaheen | 7–9 | 43.75% |
| zlacker_nan vs Zafina | 7–9 | 43.75% |
| zlacker_nan vs Lidia | 9–7 | 56.25% |
| zlacker_nan vs Azucena | 6–7 | 46.15% |
| zlacker_nan vs Claudio | 2–10 | 16.67% |
| zlacker_nan vs Eddy | 7–4 | 63.64% |
| zlacker_nan vs Miary Zo | 5–6 | 45.45% |
| zlacker_nan vs Nina | 6–4 | 60.00% |
| zlacker_nan vs Alisa | 4–4 | 50.00% |
| zlacker_nan vs Fahkumram | 2–5 | 28.57% |
| zlacker_nan vs Jack-8 | 2–4 | 33.33% |
| zlacker_nan vs Kuma | 3–2 | 60.00% |
| zlacker_nan vs Raven | 1–4 | 20.00% |
| zlacker_nan vs Leroy | 2–2 | 50.00% |
| zlacker_nan vs Panda | 1–2 | 33.33% |
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.