| GgCoco vs Steve | 34–4 | 89.47% |
| GgCoco vs Jin | 29–5 | 85.29% |
| GgCoco vs Kazuya | 30–3 | 90.91% |
| GgCoco vs King | 23–9 | 71.88% |
| GgCoco vs Bryan | 17–7 | 70.83% |
| GgCoco vs Heihachi | 18–5 | 78.26% |
| GgCoco vs Law | 14–8 | 63.64% |
| GgCoco vs Yoshimitsu | 19–2 | 90.48% |
| GgCoco vs Jun | 18–3 | 85.71% |
| GgCoco vs Reina | 18–1 | 94.74% |
| GgCoco vs Hwoarang | 15–3 | 83.33% |
| GgCoco vs Lili | 10–7 | 58.82% |
| GgCoco vs Paul | 11–5 | 68.75% |
| GgCoco vs Dragunov | 11–5 | 68.75% |
| GgCoco vs Victor | 12–1 | 92.31% |
| GgCoco vs Eddy | 13–0 | 100.00% |
| GgCoco vs Nina | 5–7 | 41.67% |
| GgCoco vs Jack-8 | 6–5 | 54.55% |
| GgCoco vs Clive | 7–4 | 63.64% |
| GgCoco vs Alisa | 6–3 | 66.67% |
| GgCoco vs Azucena | 5–4 | 55.56% |
| GgCoco vs Raven | 6–3 | 66.67% |
| GgCoco vs Lars | 6–2 | 75.00% |
| GgCoco vs Fahkumram | 8–0 | 100.00% |
| GgCoco vs Armor King | 7–1 | 87.50% |
| GgCoco vs Xiaoyu | 5–2 | 71.43% |
| GgCoco vs Asuka | 4–2 | 66.67% |
| GgCoco vs Feng | 2–4 | 33.33% |
| GgCoco vs Leo | 5–1 | 83.33% |
| GgCoco vs Lee | 1–5 | 16.67% |
| GgCoco vs Devil Jin | 2–2 | 50.00% |
| GgCoco vs Panda | 2–1 | 66.67% |
| GgCoco vs Zafina | 2–1 | 66.67% |
| GgCoco vs Lidia | 3–0 | 100.00% |
| GgCoco vs Miary Zo | 3–0 | 100.00% |
| GgCoco vs Claudio | 0–2 | 0.00% |
| GgCoco vs Kuma | 0–2 | 0.00% |
| GgCoco vs Anna | 2–0 | 100.00% |
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.