| codingGOM vs Kazuya | 44–27 | 61.97% |
| codingGOM vs Dragunov | 36–14 | 72.00% |
| codingGOM vs Bryan | 27–15 | 64.29% |
| codingGOM vs Heihachi | 32–10 | 76.19% |
| codingGOM vs Paul | 32–8 | 80.00% |
| codingGOM vs Jin | 19–17 | 52.78% |
| codingGOM vs Jun | 13–17 | 43.33% |
| codingGOM vs King | 23–5 | 82.14% |
| codingGOM vs Steve | 16–12 | 57.14% |
| codingGOM vs Hwoarang | 19–7 | 73.08% |
| codingGOM vs Lili | 16–8 | 66.67% |
| codingGOM vs Victor | 9–15 | 37.50% |
| codingGOM vs Feng | 16–6 | 72.73% |
| codingGOM vs Clive | 12–10 | 54.55% |
| codingGOM vs Law | 14–7 | 66.67% |
| codingGOM vs Asuka | 11–9 | 55.00% |
| codingGOM vs Claudio | 9–11 | 45.00% |
| codingGOM vs Reina | 8–12 | 40.00% |
| codingGOM vs Yoshimitsu | 13–4 | 76.47% |
| codingGOM vs Devil Jin | 12–4 | 75.00% |
| codingGOM vs Lee | 11–5 | 68.75% |
| codingGOM vs Jack-8 | 7–8 | 46.67% |
| codingGOM vs Shaheen | 3–11 | 21.43% |
| codingGOM vs Lidia | 6–6 | 50.00% |
| codingGOM vs Nina | 7–4 | 63.64% |
| codingGOM vs Xiaoyu | 7–3 | 70.00% |
| codingGOM vs Alisa | 7–2 | 77.78% |
| codingGOM vs Zafina | 4–5 | 44.44% |
| codingGOM vs Azucena | 4–5 | 44.44% |
| codingGOM vs Lars | 5–3 | 62.50% |
| codingGOM vs Eddy | 5–2 | 71.43% |
| codingGOM vs Kuma | 3–3 | 50.00% |
| codingGOM vs Raven | 3–3 | 50.00% |
| codingGOM vs Leo | 2–2 | 50.00% |
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.