| WhoTfCares vs King | 38–29 | 56.72% |
| WhoTfCares vs Clive | 38–18 | 67.86% |
| WhoTfCares vs Bryan | 37–16 | 69.81% |
| WhoTfCares vs Kazuya | 30–21 | 58.82% |
| WhoTfCares vs Steve | 27–21 | 56.25% |
| WhoTfCares vs Eddy | 29–16 | 64.44% |
| WhoTfCares vs Jin | 22–21 | 51.16% |
| WhoTfCares vs Lili | 26–16 | 61.90% |
| WhoTfCares vs Law | 22–19 | 53.66% |
| WhoTfCares vs Lars | 19–16 | 54.29% |
| WhoTfCares vs Hwoarang | 23–11 | 67.65% |
| WhoTfCares vs Dragunov | 26–8 | 76.47% |
| WhoTfCares vs Heihachi | 24–10 | 70.59% |
| WhoTfCares vs Lee | 13–20 | 39.39% |
| WhoTfCares vs Azucena | 20–12 | 62.50% |
| WhoTfCares vs Jun | 23–8 | 74.19% |
| WhoTfCares vs Yoshimitsu | 15–12 | 55.56% |
| WhoTfCares vs Miary Zo | 21–5 | 80.77% |
| WhoTfCares vs Armor King | 19–6 | 76.00% |
| WhoTfCares vs Reina | 12–11 | 52.17% |
| WhoTfCares vs Devil Jin | 13–9 | 59.09% |
| WhoTfCares vs Lidia | 17–5 | 77.27% |
| WhoTfCares vs Feng | 10–11 | 47.62% |
| WhoTfCares vs Zafina | 14–6 | 70.00% |
| WhoTfCares vs Paul | 13–6 | 68.42% |
| WhoTfCares vs Xiaoyu | 14–4 | 77.78% |
| WhoTfCares vs Leo | 9–9 | 50.00% |
| WhoTfCares vs Victor | 12–6 | 66.67% |
| WhoTfCares vs Leroy | 10–7 | 58.82% |
| WhoTfCares vs Anna | 10–5 | 66.67% |
| WhoTfCares vs Asuka | 9–4 | 69.23% |
| WhoTfCares vs Alisa | 3–9 | 25.00% |
| WhoTfCares vs Kuma | 7–3 | 70.00% |
| WhoTfCares vs Claudio | 6–3 | 66.67% |
| WhoTfCares vs Nina | 8–1 | 88.89% |
| WhoTfCares vs Fahkumram | 7–1 | 87.50% |
| WhoTfCares vs Raven | 5–2 | 71.43% |
| WhoTfCares vs Jack-8 | 2–4 | 33.33% |
| WhoTfCares vs Panda | 2–0 | 100.00% |
| WhoTfCares vs Shaheen | 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.