| Cullen vs King | 14–28 | 33.33% |
| Cullen vs Steve | 17–15 | 53.12% |
| Cullen vs Jin | 13–13 | 50.00% |
| Cullen vs Kazuya | 7–19 | 26.92% |
| Cullen vs Reina | 12–14 | 46.15% |
| Cullen vs Armor King | 9–14 | 39.13% |
| Cullen vs Fahkumram | 10–10 | 50.00% |
| Cullen vs Nina | 6–11 | 35.29% |
| Cullen vs Eddy | 6–11 | 35.29% |
| Cullen vs Paul | 6–10 | 37.50% |
| Cullen vs Hwoarang | 6–10 | 37.50% |
| Cullen vs Lee | 11–5 | 68.75% |
| Cullen vs Azucena | 4–10 | 28.57% |
| Cullen vs Law | 7–6 | 53.85% |
| Cullen vs Asuka | 9–4 | 69.23% |
| Cullen vs Dragunov | 6–7 | 46.15% |
| Cullen vs Lars | 3–10 | 23.08% |
| Cullen vs Jun | 5–7 | 41.67% |
| Cullen vs Lili | 2–8 | 20.00% |
| Cullen vs Bryan | 5–4 | 55.56% |
| Cullen vs Jack-8 | 1–8 | 11.11% |
| Cullen vs Leroy | 5–4 | 55.56% |
| Cullen vs Lidia | 5–4 | 55.56% |
| Cullen vs Victor | 4–4 | 50.00% |
| Cullen vs Yoshimitsu | 5–2 | 71.43% |
| Cullen vs Feng | 4–2 | 66.67% |
| Cullen vs Anna | 4–2 | 66.67% |
| Cullen vs Zafina | 4–1 | 80.00% |
| Cullen vs Xiaoyu | 4–0 | 100.00% |
| Cullen vs Clive | 2–2 | 50.00% |
| Cullen vs Devil Jin | 0–3 | 0.00% |
| Cullen vs Kuma | 0–2 | 0.00% |
| Cullen vs Raven | 2–0 | 100.00% |
| Cullen vs Heihachi | 1–1 | 50.00% |
| Cullen vs Claudio | 0–1 | 0.00% |
| Cullen vs Shaheen | 1–0 | 100.00% |
| Cullen vs Panda | 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.