| diddyblud vs Jin | 54–94 | 36.49% |
| diddyblud vs Kazuya | 51–79–1 | 39.23% |
| diddyblud vs Dragunov | 35–60 | 36.84% |
| diddyblud vs Steve | 47–44 | 51.65% |
| diddyblud vs Bryan | 31–54 | 36.47% |
| diddyblud vs Asuka | 33–36 | 47.83% |
| diddyblud vs Law | 27–41 | 39.71% |
| diddyblud vs Armor King | 26–39 | 40.00% |
| diddyblud vs Victor | 24–38 | 38.71% |
| diddyblud vs King | 28–28 | 50.00% |
| diddyblud vs Lili | 23–25 | 47.92% |
| diddyblud vs Reina | 26–21 | 55.32% |
| diddyblud vs Eddy | 18–23 | 43.90% |
| diddyblud vs Heihachi | 28–13 | 68.29% |
| diddyblud vs Yoshimitsu | 17–21 | 44.74% |
| diddyblud vs Hwoarang | 15–21 | 41.67% |
| diddyblud vs Miary Zo | 13–23 | 36.11% |
| diddyblud vs Lars | 15–19 | 44.12% |
| diddyblud vs Jun | 15–18 | 45.45% |
| diddyblud vs Lee | 12–20 | 37.50% |
| diddyblud vs Fahkumram | 14–18 | 43.75% |
| diddyblud vs Paul | 11–20 | 35.48% |
| diddyblud vs Devil Jin | 9–20 | 31.03% |
| diddyblud vs Nina | 9–15 | 37.50% |
| diddyblud vs Xiaoyu | 11–11 | 50.00% |
| diddyblud vs Leo | 8–12 | 40.00% |
| diddyblud vs Azucena | 6–11 | 35.29% |
| diddyblud vs Clive | 9–7 | 56.25% |
| diddyblud vs Anna | 7–9 | 43.75% |
| diddyblud vs Claudio | 11–4 | 73.33% |
| diddyblud vs Jack-8 | 4–10 | 28.57% |
| diddyblud vs Alisa | 3–11 | 21.43% |
| diddyblud vs Raven | 6–7 | 46.15% |
| diddyblud vs Feng | 1–11 | 8.33% |
| diddyblud vs Shaheen | 6–4 | 60.00% |
| diddyblud vs Kuma | 5–3 | 62.50% |
| diddyblud vs Leroy | 3–5 | 37.50% |
| diddyblud vs Lidia | 3–5 | 37.50% |
| diddyblud vs Panda | 4–1 | 80.00% |
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.