| kim mamo vs Hwoarang | 56–43 | 56.57% |
| kim mamo vs Kazuya | 59–38 | 60.82% |
| kim mamo vs Reina | 47–48 | 49.47% |
| kim mamo vs Jin | 46–44 | 51.11% |
| kim mamo vs Bryan | 43–44 | 49.43% |
| kim mamo vs King | 38–44 | 46.34% |
| kim mamo vs Dragunov | 41–36 | 53.25% |
| kim mamo vs Paul | 33–25 | 56.90% |
| kim mamo vs Xiaoyu | 30–28 | 51.72% |
| kim mamo vs Victor | 26–31 | 45.61% |
| kim mamo vs Law | 29–27 | 51.79% |
| kim mamo vs Steve | 25–26 | 49.02% |
| kim mamo vs Lili | 34–17 | 66.67% |
| kim mamo vs Azucena | 24–24 | 50.00% |
| kim mamo vs Claudio | 22–25 | 46.81% |
| kim mamo vs Eddy | 10–33 | 23.26% |
| kim mamo vs Devil Jin | 23–19 | 54.76% |
| kim mamo vs Nina | 21–20 | 51.22% |
| kim mamo vs Asuka | 20–20 | 50.00% |
| kim mamo vs Yoshimitsu | 15–21 | 41.67% |
| kim mamo vs Jun | 17–16 | 51.52% |
| kim mamo vs Lars | 13–16 | 44.83% |
| kim mamo vs Lee | 15–14 | 51.72% |
| kim mamo vs Jack-8 | 10–18 | 35.71% |
| kim mamo vs Alisa | 14–14 | 50.00% |
| kim mamo vs Feng | 15–12 | 55.56% |
| kim mamo vs Leo | 11–16 | 40.74% |
| kim mamo vs Shaheen | 11–14 | 44.00% |
| kim mamo vs Heihachi | 12–12 | 50.00% |
| kim mamo vs Raven | 8–10 | 44.44% |
| kim mamo vs Leroy | 8–9 | 47.06% |
| kim mamo vs Zafina | 5–10 | 33.33% |
| kim mamo vs Fahkumram | 8–6 | 57.14% |
| kim mamo vs Kuma | 4–7 | 36.36% |
| kim mamo vs Lidia | 4–5 | 44.44% |
| kim mamo vs Clive | 4–4 | 50.00% |
| kim mamo vs Armor King | 5–3 | 62.50% |
| kim mamo vs Miary Zo | 2–4 | 33.33% |
| kim mamo vs Panda | 5–0 | 100.00% |
| kim mamo vs Anna | 2–1 | 66.67% |
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.