| thegreatspaz vs King | 58–84 | 40.85% |
| thegreatspaz vs Kazuya | 57–83 | 40.71% |
| thegreatspaz vs Reina | 49–83 | 37.12% |
| thegreatspaz vs Steve | 38–79 | 32.48% |
| thegreatspaz vs Bryan | 55–58 | 48.67% |
| thegreatspaz vs Jin | 33–75 | 30.56% |
| thegreatspaz vs Hwoarang | 25–58 | 30.12% |
| thegreatspaz vs Dragunov | 28–50 | 35.90% |
| thegreatspaz vs Asuka | 24–51 | 32.00% |
| thegreatspaz vs Eddy | 18–56 | 24.32% |
| thegreatspaz vs Lili | 23–50 | 31.51% |
| thegreatspaz vs Jun | 23–46 | 33.33% |
| thegreatspaz vs Yoshimitsu | 17–45 | 27.42% |
| thegreatspaz vs Devil Jin | 13–47 | 21.67% |
| thegreatspaz vs Paul | 20–35 | 36.36% |
| thegreatspaz vs Azucena | 20–34 | 37.04% |
| thegreatspaz vs Law | 20–33 | 37.74% |
| thegreatspaz vs Nina | 18–33 | 35.29% |
| thegreatspaz vs Victor | 21–28 | 42.86% |
| thegreatspaz vs Lars | 17–30 | 36.17% |
| thegreatspaz vs Alisa | 22–15 | 59.46% |
| thegreatspaz vs Lee | 9–27 | 25.00% |
| thegreatspaz vs Xiaoyu | 12–21 | 36.36% |
| thegreatspaz vs Leo | 11–16 | 40.74% |
| thegreatspaz vs Jack-8 | 9–17 | 34.62% |
| thegreatspaz vs Feng | 10–15 | 40.00% |
| thegreatspaz vs Leroy | 11–13 | 45.83% |
| thegreatspaz vs Raven | 10–13 | 43.48% |
| thegreatspaz vs Kuma | 6–14 | 30.00% |
| thegreatspaz vs Claudio | 4–15 | 21.05% |
| thegreatspaz vs Zafina | 6–13 | 31.58% |
| thegreatspaz vs Shaheen | 7–10 | 41.18% |
| thegreatspaz vs Heihachi | 10–7 | 58.82% |
| thegreatspaz vs Panda | 7–5 | 58.33% |
| thegreatspaz vs Anna | 2–10 | 16.67% |
| thegreatspaz vs Fahkumram | 3–7 | 30.00% |
| thegreatspaz vs Lidia | 5–4 | 55.56% |
| thegreatspaz vs Clive | 1–1 | 50.00% |
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.