| Good4noob vs Kazuya | 26–13 | 66.67% |
| Good4noob vs King | 22–7 | 75.86% |
| Good4noob vs Jin | 20–8 | 71.43% |
| Good4noob vs Steve | 24–4 | 85.71% |
| Good4noob vs Clive | 20–8 | 71.43% |
| Good4noob vs Paul | 17–0 | 100.00% |
| Good4noob vs Hwoarang | 12–5 | 70.59% |
| Good4noob vs Bryan | 11–4 | 73.33% |
| Good4noob vs Dragunov | 10–4 | 71.43% |
| Good4noob vs Law | 10–3 | 76.92% |
| Good4noob vs Lili | 8–5 | 61.54% |
| Good4noob vs Nina | 7–6 | 53.85% |
| Good4noob vs Jun | 8–4 | 66.67% |
| Good4noob vs Armor King | 4–6 | 40.00% |
| Good4noob vs Yoshimitsu | 7–2 | 77.78% |
| Good4noob vs Claudio | 6–3 | 66.67% |
| Good4noob vs Asuka | 6–2 | 75.00% |
| Good4noob vs Kuma | 6–1 | 85.71% |
| Good4noob vs Fahkumram | 4–3 | 57.14% |
| Good4noob vs Xiaoyu | 3–3 | 50.00% |
| Good4noob vs Lars | 4–2 | 66.67% |
| Good4noob vs Shaheen | 5–1 | 83.33% |
| Good4noob vs Heihachi | 6–0 | 100.00% |
| Good4noob vs Reina | 4–1 | 80.00% |
| Good4noob vs Devil Jin | 2–2 | 50.00% |
| Good4noob vs Feng | 4–0 | 100.00% |
| Good4noob vs Alisa | 3–1 | 75.00% |
| Good4noob vs Lee | 3–1 | 75.00% |
| Good4noob vs Zafina | 4–0 | 100.00% |
| Good4noob vs Azucena | 1–2 | 33.33% |
| Good4noob vs Victor | 2–1 | 66.67% |
| Good4noob vs Raven | 3–0 | 100.00% |
| Good4noob vs Eddy | 2–0 | 100.00% |
| Good4noob vs Lidia | 2–0 | 100.00% |
| Good4noob vs Anna | 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.