| rt5m vs Lee | 3–6 | 33.33% |
| rt5m vs Hwoarang | 4–3 | 57.14% |
| rt5m vs Feng | 5–2 | 71.43% |
| rt5m vs Miary Zo | 5–2 | 71.43% |
| rt5m vs Jin | 1–4 | 20.00% |
| rt5m vs Lili | 3–2 | 60.00% |
| rt5m vs King | 2–2 | 50.00% |
| rt5m vs Leo | 2–2 | 50.00% |
| rt5m vs Zafina | 3–0 | 100.00% |
| rt5m vs Eddy | 1–2 | 33.33% |
| rt5m vs Yoshimitsu | 0–2 | 0.00% |
| rt5m vs Kazuya | 2–0 | 100.00% |
| rt5m vs Steve | 1–1 | 50.00% |
| rt5m vs Panda | 2–0 | 100.00% |
| rt5m vs Jun | 0–2 | 0.00% |
| rt5m vs Fahkumram | 0–2 | 0.00% |
| rt5m vs Kuma | 1–0 | 100.00% |
| rt5m vs Clive | 0–1 | 0.00% |
| rt5m vs Armor King | 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.