| mgod vs King | 30–44 | 40.54% |
| mgod vs Jin | 30–41 | 42.25% |
| mgod vs Kazuya | 20–42 | 32.26% |
| mgod vs Bryan | 27–21 | 56.25% |
| mgod vs Yoshimitsu | 19–23 | 45.24% |
| mgod vs Law | 13–23 | 36.11% |
| mgod vs Steve | 19–17 | 52.78% |
| mgod vs Dragunov | 15–19 | 44.12% |
| mgod vs Hwoarang | 16–15 | 51.61% |
| mgod vs Armor King | 9–21 | 30.00% |
| mgod vs Reina | 12–16 | 42.86% |
| mgod vs Paul | 15–11 | 57.69% |
| mgod vs Lars | 7–19 | 26.92% |
| mgod vs Alisa | 8–14 | 36.36% |
| mgod vs Nina | 7–15 | 31.82% |
| mgod vs Eddy | 6–16 | 27.27% |
| mgod vs Victor | 5–16 | 23.81% |
| mgod vs Heihachi | 7–13 | 35.00% |
| mgod vs Clive | 7–12 | 36.84% |
| mgod vs Devil Jin | 6–12 | 33.33% |
| mgod vs Anna | 9–8 | 52.94% |
| mgod vs Asuka | 3–13 | 18.75% |
| mgod vs Lili | 7–9 | 43.75% |
| mgod vs Azucena | 9–6 | 60.00% |
| mgod vs Miary Zo | 7–5 | 58.33% |
| mgod vs Xiaoyu | 2–8 | 20.00% |
| mgod vs Leo | 3–7 | 30.00% |
| mgod vs Feng | 3–6 | 33.33% |
| mgod vs Jun | 4–4 | 50.00% |
| mgod vs Fahkumram | 0–8 | 0.00% |
| mgod vs Leroy | 2–5 | 28.57% |
| mgod vs Lidia | 1–5 | 16.67% |
| mgod vs Lee | 4–1 | 80.00% |
| mgod vs Claudio | 2–2 | 50.00% |
| mgod vs Kuma | 1–3 | 25.00% |
| mgod vs Zafina | 1–3 | 25.00% |
| mgod vs Raven | 3–1 | 75.00% |
| mgod vs Jack-8 | 0–2 | 0.00% |
| mgod vs Shaheen | 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.