| WaterFloW vs Jin | 16–5 | 76.19% |
| WaterFloW vs King | 11–6 | 64.71% |
| WaterFloW vs Hwoarang | 8–9 | 47.06% |
| WaterFloW vs Kazuya | 6–10 | 37.50% |
| WaterFloW vs Steve | 4–11 | 26.67% |
| WaterFloW vs Lili | 9–6 | 60.00% |
| WaterFloW vs Azucena | 10–5 | 66.67% |
| WaterFloW vs Yoshimitsu | 6–8 | 42.86% |
| WaterFloW vs Reina | 9–5 | 64.29% |
| WaterFloW vs Dragunov | 5–6 | 45.45% |
| WaterFloW vs Asuka | 9–1 | 90.00% |
| WaterFloW vs Victor | 8–2 | 80.00% |
| WaterFloW vs Bryan | 3–6 | 33.33% |
| WaterFloW vs Lars | 7–2 | 77.78% |
| WaterFloW vs Eddy | 7–2 | 77.78% |
| WaterFloW vs Anna | 7–2 | 77.78% |
| WaterFloW vs Fahkumram | 5–4 | 55.56% |
| WaterFloW vs Jack-8 | 5–3 | 62.50% |
| WaterFloW vs Raven | 5–2 | 71.43% |
| WaterFloW vs Xiaoyu | 4–1 | 80.00% |
| WaterFloW vs Devil Jin | 4–1 | 80.00% |
| WaterFloW vs Alisa | 2–3 | 40.00% |
| WaterFloW vs Paul | 3–1 | 75.00% |
| WaterFloW vs Feng | 2–2 | 50.00% |
| WaterFloW vs Leo | 4–0 | 100.00% |
| WaterFloW vs Nina | 4–0 | 100.00% |
| WaterFloW vs Lee | 3–1 | 75.00% |
| WaterFloW vs Zafina | 2–2 | 50.00% |
| WaterFloW vs Claudio | 1–2 | 33.33% |
| WaterFloW vs Panda | 2–1 | 66.67% |
| WaterFloW vs Clive | 3–0 | 100.00% |
| WaterFloW vs Jun | 2–0 | 100.00% |
| WaterFloW vs Lidia | 2–0 | 100.00% |
| WaterFloW vs Heihachi | 2–0 | 100.00% |
| WaterFloW vs Kuma | 0–1 | 0.00% |
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.