| TSMGeorgeFloyd vs King | 35–22 | 61.40% |
| TSMGeorgeFloyd vs Reina | 31–22 | 58.49% |
| TSMGeorgeFloyd vs Steve | 25–23 | 52.08% |
| TSMGeorgeFloyd vs Kazuya | 16–24 | 40.00% |
| TSMGeorgeFloyd vs Jin | 11–26 | 29.73% |
| TSMGeorgeFloyd vs Jun | 12–20 | 37.50% |
| TSMGeorgeFloyd vs Lili | 17–13 | 56.67% |
| TSMGeorgeFloyd vs Nina | 14–15 | 48.28% |
| TSMGeorgeFloyd vs Law | 11–17 | 39.29% |
| TSMGeorgeFloyd vs Asuka | 10–18 | 35.71% |
| TSMGeorgeFloyd vs Jack-8 | 10–15 | 40.00% |
| TSMGeorgeFloyd vs Bryan | 10–14 | 41.67% |
| TSMGeorgeFloyd vs Lars | 7–17 | 29.17% |
| TSMGeorgeFloyd vs Victor | 12–11 | 52.17% |
| TSMGeorgeFloyd vs Lidia | 10–13 | 43.48% |
| TSMGeorgeFloyd vs Paul | 10–12 | 45.45% |
| TSMGeorgeFloyd vs Dragunov | 5–16 | 23.81% |
| TSMGeorgeFloyd vs Lee | 9–12 | 42.86% |
| TSMGeorgeFloyd vs Xiaoyu | 12–8 | 60.00% |
| TSMGeorgeFloyd vs Azucena | 9–10 | 47.37% |
| TSMGeorgeFloyd vs Heihachi | 8–10 | 44.44% |
| TSMGeorgeFloyd vs Leo | 9–7 | 56.25% |
| TSMGeorgeFloyd vs Yoshimitsu | 4–10 | 28.57% |
| TSMGeorgeFloyd vs Eddy | 5–9 | 35.71% |
| TSMGeorgeFloyd vs Hwoarang | 5–7 | 41.67% |
| TSMGeorgeFloyd vs Devil Jin | 4–8 | 33.33% |
| TSMGeorgeFloyd vs Kuma | 2–9 | 18.18% |
| TSMGeorgeFloyd vs Leroy | 5–6 | 45.45% |
| TSMGeorgeFloyd vs Alisa | 4–3 | 57.14% |
| TSMGeorgeFloyd vs Shaheen | 1–4 | 20.00% |
| TSMGeorgeFloyd vs Zafina | 2–2 | 50.00% |
| TSMGeorgeFloyd vs Claudio | 0–3 | 0.00% |
| TSMGeorgeFloyd vs Raven | 3–0 | 100.00% |
| TSMGeorgeFloyd vs Feng | 0–2 | 0.00% |
| TSMGeorgeFloyd vs Clive | 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.