| GGumNim vs Clive | 59–58 | 50.43% |
| GGumNim vs Kazuya | 49–36 | 57.65% |
| GGumNim vs Hwoarang | 40–42 | 48.78% |
| GGumNim vs Dragunov | 35–36 | 49.30% |
| GGumNim vs Jin | 44–24 | 64.71% |
| GGumNim vs Yoshimitsu | 31–29 | 51.67% |
| GGumNim vs Paul | 33–26 | 55.93% |
| GGumNim vs King | 32–26 | 55.17% |
| GGumNim vs Lili | 31–27 | 53.45% |
| GGumNim vs Reina | 30–28 | 51.72% |
| GGumNim vs Bryan | 31–26 | 54.39% |
| GGumNim vs Steve | 32–21 | 60.38% |
| GGumNim vs Jun | 34–14 | 70.83% |
| GGumNim vs Asuka | 27–19 | 58.70% |
| GGumNim vs Feng | 25–19 | 56.82% |
| GGumNim vs Xiaoyu | 28–9 | 75.68% |
| GGumNim vs Eddy | 22–15 | 59.46% |
| GGumNim vs Law | 17–19 | 47.22% |
| GGumNim vs Lidia | 19–10 | 65.52% |
| GGumNim vs Heihachi | 19–10 | 65.52% |
| GGumNim vs Leo | 18–10 | 64.29% |
| GGumNim vs Alisa | 18–10 | 64.29% |
| GGumNim vs Devil Jin | 15–12 | 55.56% |
| GGumNim vs Lee | 15–12 | 55.56% |
| GGumNim vs Victor | 16–11 | 59.26% |
| GGumNim vs Azucena | 10–15 | 40.00% |
| GGumNim vs Lars | 14–10 | 58.33% |
| GGumNim vs Claudio | 17–7 | 70.83% |
| GGumNim vs Leroy | 13–8 | 61.90% |
| GGumNim vs Jack-8 | 6–12 | 33.33% |
| GGumNim vs Nina | 9–9 | 50.00% |
| GGumNim vs Shaheen | 5–9 | 35.71% |
| GGumNim vs Kuma | 5–8 | 38.46% |
| GGumNim vs Panda | 7–6 | 53.85% |
| GGumNim vs Zafina | 5–6 | 45.45% |
| GGumNim vs Raven | 3–6 | 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.