| Gamer.n16 vs Law | 50–24 | 67.57% |
| Gamer.n16 vs Jin | 42–31 | 57.53% |
| Gamer.n16 vs Kazuya | 39–33 | 54.17% |
| Gamer.n16 vs King | 38–27 | 58.46% |
| Gamer.n16 vs Hwoarang | 43–20 | 68.25% |
| Gamer.n16 vs Heihachi | 41–17 | 70.69% |
| Gamer.n16 vs Steve | 31–13 | 70.45% |
| Gamer.n16 vs Bryan | 27–13 | 67.50% |
| Gamer.n16 vs Eddy | 26–14 | 65.00% |
| Gamer.n16 vs Yoshimitsu | 23–16 | 58.97% |
| Gamer.n16 vs Paul | 20–17 | 54.05% |
| Gamer.n16 vs Reina | 20–17 | 54.05% |
| Gamer.n16 vs Alisa | 25–8 | 75.76% |
| Gamer.n16 vs Dragunov | 17–13 | 56.67% |
| Gamer.n16 vs Clive | 19–11 | 63.33% |
| Gamer.n16 vs Lars | 20–8 | 71.43% |
| Gamer.n16 vs Asuka | 19–5 | 79.17% |
| Gamer.n16 vs Feng | 17–7 | 70.83% |
| Gamer.n16 vs Armor King | 12–11 | 52.17% |
| Gamer.n16 vs Lili | 18–1 | 94.74% |
| Gamer.n16 vs Jun | 18–1 | 94.74% |
| Gamer.n16 vs Lee | 11–6 | 64.71% |
| Gamer.n16 vs Devil Jin | 10–6 | 62.50% |
| Gamer.n16 vs Leroy | 10–6 | 62.50% |
| Gamer.n16 vs Leo | 10–4 | 71.43% |
| Gamer.n16 vs Azucena | 9–5 | 64.29% |
| Gamer.n16 vs Jack-8 | 10–3 | 76.92% |
| Gamer.n16 vs Victor | 10–3 | 76.92% |
| Gamer.n16 vs Claudio | 8–4 | 66.67% |
| Gamer.n16 vs Lidia | 8–4 | 66.67% |
| Gamer.n16 vs Nina | 7–4 | 63.64% |
| Gamer.n16 vs Xiaoyu | 8–2 | 80.00% |
| Gamer.n16 vs Fahkumram | 4–6 | 40.00% |
| Gamer.n16 vs Panda | 5–3 | 62.50% |
| Gamer.n16 vs Anna | 4–3 | 57.14% |
| Gamer.n16 vs Shaheen | 4–2 | 66.67% |
| Gamer.n16 vs Kuma | 3–3 | 50.00% |
| Gamer.n16 vs Raven | 1–3 | 25.00% |
| Gamer.n16 vs Zafina | 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.