| Mr le geek vs Jin | 23–42 | 35.38% |
| Mr le geek vs Steve | 20–44 | 31.25% |
| Mr le geek vs King | 20–40 | 33.33% |
| Mr le geek vs Hwoarang | 20–34 | 37.04% |
| Mr le geek vs Miary Zo | 19–27 | 41.30% |
| Mr le geek vs Law | 17–23 | 42.50% |
| Mr le geek vs Reina | 21–19 | 52.50% |
| Mr le geek vs Lili | 16–19 | 45.71% |
| Mr le geek vs Kazuya | 13–21 | 38.24% |
| Mr le geek vs Eddy | 15–15 | 50.00% |
| Mr le geek vs Clive | 11–19 | 36.67% |
| Mr le geek vs Bryan | 8–21 | 27.59% |
| Mr le geek vs Devil Jin | 11–16 | 40.74% |
| Mr le geek vs Azucena | 10–15 | 40.00% |
| Mr le geek vs Lidia | 9–16 | 36.00% |
| Mr le geek vs Dragunov | 10–13 | 43.48% |
| Mr le geek vs Jun | 7–15 | 31.82% |
| Mr le geek vs Feng | 9–10 | 47.37% |
| Mr le geek vs Fahkumram | 7–12 | 36.84% |
| Mr le geek vs Asuka | 10–7 | 58.82% |
| Mr le geek vs Victor | 5–12 | 29.41% |
| Mr le geek vs Heihachi | 3–14 | 17.65% |
| Mr le geek vs Lee | 6–10 | 37.50% |
| Mr le geek vs Armor King | 8–8 | 50.00% |
| Mr le geek vs Paul | 2–10 | 16.67% |
| Mr le geek vs Nina | 3–9 | 25.00% |
| Mr le geek vs Yoshimitsu | 7–4 | 63.64% |
| Mr le geek vs Xiaoyu | 2–9 | 18.18% |
| Mr le geek vs Lars | 4–7 | 36.36% |
| Mr le geek vs Kuma | 1–9 | 10.00% |
| Mr le geek vs Jack-8 | 5–4 | 55.56% |
| Mr le geek vs Alisa | 4–5 | 44.44% |
| Mr le geek vs Claudio | 5–3 | 62.50% |
| Mr le geek vs Leo | 1–4 | 20.00% |
| Mr le geek vs Anna | 1–4 | 20.00% |
| Mr le geek vs Shaheen | 1–2 | 33.33% |
| Mr le geek vs Panda | 0–3 | 0.00% |
| Mr le geek vs Raven | 1–1 | 50.00% |
| Mr le geek vs Zafina | 1–0 | 100.00% |
| Mr le geek vs Leroy | 0–1 | 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.