| Kbwitdabread vs King | 15–17 | 46.88% |
| Kbwitdabread vs Armor King | 16–13 | 55.17% |
| Kbwitdabread vs Law | 11–13 | 45.83% |
| Kbwitdabread vs Bryan | 8–14 | 36.36% |
| Kbwitdabread vs Nina | 14–6 | 70.00% |
| Kbwitdabread vs Reina | 8–9 | 47.06% |
| Kbwitdabread vs Lili | 6–10 | 37.50% |
| Kbwitdabread vs Dragunov | 8–8 | 50.00% |
| Kbwitdabread vs Hwoarang | 7–8 | 46.67% |
| Kbwitdabread vs Eddy | 5–10 | 33.33% |
| Kbwitdabread vs Heihachi | 6–8 | 42.86% |
| Kbwitdabread vs Lars | 5–8 | 38.46% |
| Kbwitdabread vs Kazuya | 7–5 | 58.33% |
| Kbwitdabread vs Asuka | 6–4 | 60.00% |
| Kbwitdabread vs Leroy | 7–3 | 70.00% |
| Kbwitdabread vs Lidia | 2–8 | 20.00% |
| Kbwitdabread vs Alisa | 7–2 | 77.78% |
| Kbwitdabread vs Clive | 7–2 | 77.78% |
| Kbwitdabread vs Miary Zo | 2–7 | 22.22% |
| Kbwitdabread vs Steve | 4–4 | 50.00% |
| Kbwitdabread vs Kuma | 3–5 | 37.50% |
| Kbwitdabread vs Paul | 4–3 | 57.14% |
| Kbwitdabread vs Jack-8 | 4–2–1 | 66.67% |
| Kbwitdabread vs Feng | 5–2 | 71.43% |
| Kbwitdabread vs Azucena | 5–2 | 71.43% |
| Kbwitdabread vs Yoshimitsu | 2–4 | 33.33% |
| Kbwitdabread vs Xiaoyu | 2–4 | 33.33% |
| Kbwitdabread vs Jun | 4–2 | 66.67% |
| Kbwitdabread vs Fahkumram | 2–4 | 33.33% |
| Kbwitdabread vs Jin | 3–2 | 60.00% |
| Kbwitdabread vs Leo | 2–3 | 40.00% |
| Kbwitdabread vs Claudio | 3–2 | 60.00% |
| Kbwitdabread vs Zafina | 0–4 | 0.00% |
| Kbwitdabread vs Raven | 4–0 | 100.00% |
| Kbwitdabread vs Anna | 2–2 | 50.00% |
| Kbwitdabread vs Devil Jin | 3–0 | 100.00% |
| Kbwitdabread vs Lee | 0–2 | 0.00% |
| Kbwitdabread vs Victor | 2–0 | 100.00% |
| Kbwitdabread vs Panda | 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.