| GeeWizz vs Kazuya | 95–79 | 54.60% |
| GeeWizz vs King | 76–94 | 44.71% |
| GeeWizz vs Reina | 61–105 | 36.75% |
| GeeWizz vs Jin | 70–94 | 42.68% |
| GeeWizz vs Eddy | 60–95 | 38.71% |
| GeeWizz vs Steve | 63–59 | 51.64% |
| GeeWizz vs Dragunov | 50–67 | 42.74% |
| GeeWizz vs Yoshimitsu | 42–71 | 37.17% |
| GeeWizz vs Hwoarang | 51–60 | 45.95% |
| GeeWizz vs Bryan | 38–70 | 35.19% |
| GeeWizz vs Law | 56–50 | 52.83% |
| GeeWizz vs Azucena | 37–61 | 37.76% |
| GeeWizz vs Lee | 48–46 | 51.06% |
| GeeWizz vs Paul | 41–48 | 46.07% |
| GeeWizz vs Victor | 23–63 | 26.74% |
| GeeWizz vs Asuka | 33–49 | 40.24% |
| GeeWizz vs Feng | 35–30 | 53.85% |
| GeeWizz vs Jun | 27–38 | 41.54% |
| GeeWizz vs Devil Jin | 28–36 | 43.75% |
| GeeWizz vs Xiaoyu | 25–34 | 42.37% |
| GeeWizz vs Lili | 34–25 | 57.63% |
| GeeWizz vs Lars | 19–40 | 32.20% |
| GeeWizz vs Jack-8 | 19–32 | 37.25% |
| GeeWizz vs Alisa | 22–29 | 43.14% |
| GeeWizz vs Leroy | 31–20 | 60.78% |
| GeeWizz vs Leo | 17–21 | 44.74% |
| GeeWizz vs Raven | 20–18 | 52.63% |
| GeeWizz vs Nina | 16–21 | 43.24% |
| GeeWizz vs Kuma | 11–25 | 30.56% |
| GeeWizz vs Lidia | 17–19 | 47.22% |
| GeeWizz vs Claudio | 16–11 | 59.26% |
| GeeWizz vs Zafina | 7–15 | 31.82% |
| GeeWizz vs Panda | 6–13 | 31.58% |
| GeeWizz vs Shaheen | 4–10 | 28.57% |
| GeeWizz vs Heihachi | 1–4 | 20.00% |
| GeeWizz vs Clive | 0–2 | 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.