| GUSRNR1754 vs King | 5–11 | 31.25% |
| GUSRNR1754 vs Reina | 6–6 | 50.00% |
| GUSRNR1754 vs Steve | 7–4 | 63.64% |
| GUSRNR1754 vs Kazuya | 3–6 | 33.33% |
| GUSRNR1754 vs Dragunov | 4–5 | 44.44% |
| GUSRNR1754 vs Victor | 5–4 | 55.56% |
| GUSRNR1754 vs Jin | 3–4 | 42.86% |
| GUSRNR1754 vs Bryan | 3–4 | 42.86% |
| GUSRNR1754 vs Azucena | 4–3 | 57.14% |
| GUSRNR1754 vs Leroy | 1–5 | 16.67% |
| GUSRNR1754 vs Paul | 0–5 | 0.00% |
| GUSRNR1754 vs Hwoarang | 0–5 | 0.00% |
| GUSRNR1754 vs Lili | 2–3 | 40.00% |
| GUSRNR1754 vs Leo | 3–2 | 60.00% |
| GUSRNR1754 vs Heihachi | 3–2 | 60.00% |
| GUSRNR1754 vs Clive | 0–5 | 0.00% |
| GUSRNR1754 vs Nina | 2–2 | 50.00% |
| GUSRNR1754 vs Jun | 1–3 | 25.00% |
| GUSRNR1754 vs Devil Jin | 2–1 | 66.67% |
| GUSRNR1754 vs Lars | 2–1 | 66.67% |
| GUSRNR1754 vs Claudio | 2–1 | 66.67% |
| GUSRNR1754 vs Lee | 1–2 | 33.33% |
| GUSRNR1754 vs Kuma | 1–2 | 33.33% |
| GUSRNR1754 vs Law | 1–1 | 50.00% |
| GUSRNR1754 vs Yoshimitsu | 1–1 | 50.00% |
| GUSRNR1754 vs Xiaoyu | 1–1 | 50.00% |
| GUSRNR1754 vs Feng | 0–2 | 0.00% |
| GUSRNR1754 vs Alisa | 0–2 | 0.00% |
| GUSRNR1754 vs Panda | 0–2 | 0.00% |
| GUSRNR1754 vs Shaheen | 0–1 | 0.00% |
| GUSRNR1754 vs Zafina | 0–1 | 0.00% |
| GUSRNR1754 vs Eddy | 0–1 | 0.00% |
| GUSRNR1754 vs Lidia | 1–0 | 100.00% |
| GUSRNR1754 vs Fahkumram | 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.