| Macc_Kuma vs King | 32–10 | 76.19% |
| Macc_Kuma vs Steve | 26–11 | 70.27% |
| Macc_Kuma vs Kazuya | 14–12 | 53.85% |
| Macc_Kuma vs Heihachi | 19–4 | 82.61% |
| Macc_Kuma vs Clive | 13–10 | 56.52% |
| Macc_Kuma vs Jin | 15–6 | 71.43% |
| Macc_Kuma vs Devil Jin | 12–8 | 60.00% |
| Macc_Kuma vs Bryan | 10–9 | 52.63% |
| Macc_Kuma vs Reina | 17–1 | 94.44% |
| Macc_Kuma vs Law | 12–4 | 75.00% |
| Macc_Kuma vs Yoshimitsu | 12–4 | 75.00% |
| Macc_Kuma vs Lili | 12–4 | 75.00% |
| Macc_Kuma vs Lee | 5–7 | 41.67% |
| Macc_Kuma vs Jun | 11–1 | 91.67% |
| Macc_Kuma vs Asuka | 6–5 | 54.55% |
| Macc_Kuma vs Dragunov | 7–4 | 63.64% |
| Macc_Kuma vs Kuma | 7–4 | 63.64% |
| Macc_Kuma vs Lars | 9–1 | 90.00% |
| Macc_Kuma vs Hwoarang | 4–3 | 57.14% |
| Macc_Kuma vs Feng | 5–2 | 71.43% |
| Macc_Kuma vs Azucena | 6–1 | 85.71% |
| Macc_Kuma vs Nina | 4–2 | 66.67% |
| Macc_Kuma vs Leroy | 4–2 | 66.67% |
| Macc_Kuma vs Victor | 5–1 | 83.33% |
| Macc_Kuma vs Eddy | 3–3 | 50.00% |
| Macc_Kuma vs Jack-8 | 1–4 | 20.00% |
| Macc_Kuma vs Alisa | 5–0 | 100.00% |
| Macc_Kuma vs Claudio | 4–1 | 80.00% |
| Macc_Kuma vs Shaheen | 2–3 | 40.00% |
| Macc_Kuma vs Leo | 2–2 | 50.00% |
| Macc_Kuma vs Paul | 2–1 | 66.67% |
| Macc_Kuma vs Xiaoyu | 3–0 | 100.00% |
| Macc_Kuma vs Lidia | 2–1 | 66.67% |
| Macc_Kuma vs Panda | 2–0 | 100.00% |
| Macc_Kuma vs Raven | 1–0 | 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.