| Mrgooner vs Fahkumram | 22–28 | 44.00% |
| Mrgooner vs King | 23–19 | 54.76% |
| Mrgooner vs Hwoarang | 16–14 | 53.33% |
| Mrgooner vs Steve | 18–6 | 75.00% |
| Mrgooner vs Paul | 12–11 | 52.17% |
| Mrgooner vs Kazuya | 7–16 | 30.43% |
| Mrgooner vs Jin | 14–8 | 63.64% |
| Mrgooner vs Reina | 8–12 | 40.00% |
| Mrgooner vs Bryan | 7–8 | 46.67% |
| Mrgooner vs Heihachi | 6–9 | 40.00% |
| Mrgooner vs Dragunov | 8–4 | 66.67% |
| Mrgooner vs Leo | 7–5 | 58.33% |
| Mrgooner vs Victor | 9–3 | 75.00% |
| Mrgooner vs Lidia | 9–3 | 75.00% |
| Mrgooner vs Xiaoyu | 5–6 | 45.45% |
| Mrgooner vs Leroy | 8–3 | 72.73% |
| Mrgooner vs Lars | 5–5 | 50.00% |
| Mrgooner vs Shaheen | 4–6 | 40.00% |
| Mrgooner vs Lee | 5–4 | 55.56% |
| Mrgooner vs Eddy | 4–5 | 44.44% |
| Mrgooner vs Law | 6–2 | 75.00% |
| Mrgooner vs Asuka | 2–6 | 25.00% |
| Mrgooner vs Lili | 3–4 | 42.86% |
| Mrgooner vs Jun | 3–4 | 42.86% |
| Mrgooner vs Raven | 1–6 | 14.29% |
| Mrgooner vs Yoshimitsu | 5–1 | 83.33% |
| Mrgooner vs Devil Jin | 2–4 | 33.33% |
| Mrgooner vs Alisa | 4–2 | 66.67% |
| Mrgooner vs Kuma | 4–2 | 66.67% |
| Mrgooner vs Zafina | 3–2 | 60.00% |
| Mrgooner vs Azucena | 3–2 | 60.00% |
| Mrgooner vs Anna | 1–4 | 20.00% |
| Mrgooner vs Feng | 1–3 | 25.00% |
| Mrgooner vs Claudio | 0–4 | 0.00% |
| Mrgooner vs Clive | 1–1 | 50.00% |
| Mrgooner vs Nina | 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.