| INOKNOWHOW2PLAY vs Reina | 43–32 | 57.33% |
| INOKNOWHOW2PLAY vs Jin | 22–42 | 34.38% |
| INOKNOWHOW2PLAY vs King | 27–29 | 48.21% |
| INOKNOWHOW2PLAY vs Kazuya | 33–18 | 64.71% |
| INOKNOWHOW2PLAY vs Hwoarang | 19–19 | 50.00% |
| INOKNOWHOW2PLAY vs Steve | 21–17 | 55.26% |
| INOKNOWHOW2PLAY vs Yoshimitsu | 17–17 | 50.00% |
| INOKNOWHOW2PLAY vs Asuka | 15–15 | 50.00% |
| INOKNOWHOW2PLAY vs Lili | 18–12 | 60.00% |
| INOKNOWHOW2PLAY vs Law | 11–16 | 40.74% |
| INOKNOWHOW2PLAY vs Leo | 10–17 | 37.04% |
| INOKNOWHOW2PLAY vs Jun | 9–17 | 34.62% |
| INOKNOWHOW2PLAY vs Dragunov | 10–15 | 40.00% |
| INOKNOWHOW2PLAY vs Lidia | 11–14 | 44.00% |
| INOKNOWHOW2PLAY vs Lars | 9–14 | 39.13% |
| INOKNOWHOW2PLAY vs Victor | 8–15 | 34.78% |
| INOKNOWHOW2PLAY vs Paul | 10–9 | 52.63% |
| INOKNOWHOW2PLAY vs Eddy | 8–10 | 44.44% |
| INOKNOWHOW2PLAY vs Devil Jin | 9–8 | 52.94% |
| INOKNOWHOW2PLAY vs Xiaoyu | 5–11 | 31.25% |
| INOKNOWHOW2PLAY vs Bryan | 4–12 | 25.00% |
| INOKNOWHOW2PLAY vs Lee | 7–8 | 46.67% |
| INOKNOWHOW2PLAY vs Alisa | 3–11 | 21.43% |
| INOKNOWHOW2PLAY vs Nina | 4–9 | 30.77% |
| INOKNOWHOW2PLAY vs Azucena | 6–7 | 46.15% |
| INOKNOWHOW2PLAY vs Claudio | 6–6 | 50.00% |
| INOKNOWHOW2PLAY vs Kuma | 5–6 | 45.45% |
| INOKNOWHOW2PLAY vs Raven | 3–4 | 42.86% |
| INOKNOWHOW2PLAY vs Heihachi | 3–4 | 42.86% |
| INOKNOWHOW2PLAY vs Zafina | 4–2 | 66.67% |
| INOKNOWHOW2PLAY vs Shaheen | 2–3 | 40.00% |
| INOKNOWHOW2PLAY vs Leroy | 2–3 | 40.00% |
| INOKNOWHOW2PLAY vs Feng | 0–4 | 0.00% |
| INOKNOWHOW2PLAY vs Miary Zo | 2–2 | 50.00% |
| INOKNOWHOW2PLAY vs Panda | 2–1 | 66.67% |
| INOKNOWHOW2PLAY vs Clive | 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.