| TommysGotClout vs King | 116–94 | 55.24% |
| TommysGotClout vs Jin | 105–90 | 53.85% |
| TommysGotClout vs Kazuya | 89–91 | 49.44% |
| TommysGotClout vs Heihachi | 62–81 | 43.36% |
| TommysGotClout vs Bryan | 77–65 | 54.23% |
| TommysGotClout vs Reina | 71–57 | 55.47% |
| TommysGotClout vs Yoshimitsu | 67–58 | 53.60% |
| TommysGotClout vs Law | 69–47 | 59.48% |
| TommysGotClout vs Steve | 67–47 | 58.77% |
| TommysGotClout vs Hwoarang | 44–64 | 40.74% |
| TommysGotClout vs Paul | 50–47 | 51.55% |
| TommysGotClout vs Asuka | 44–45 | 49.44% |
| TommysGotClout vs Lee | 36–47 | 43.37% |
| TommysGotClout vs Azucena | 41–41 | 50.00% |
| TommysGotClout vs Eddy | 34–47 | 41.98% |
| TommysGotClout vs Lili | 36–44 | 45.00% |
| TommysGotClout vs Dragunov | 36–44 | 45.00% |
| TommysGotClout vs Lars | 41–37 | 52.56% |
| TommysGotClout vs Lidia | 40–33 | 54.79% |
| TommysGotClout vs Devil Jin | 30–40 | 42.86% |
| TommysGotClout vs Xiaoyu | 41–27–1 | 60.29% |
| TommysGotClout vs Jun | 41–28 | 59.42% |
| TommysGotClout vs Leo | 24–31 | 43.64% |
| TommysGotClout vs Clive | 27–27 | 50.00% |
| TommysGotClout vs Kuma | 22–30 | 42.31% |
| TommysGotClout vs Victor | 31–21 | 59.62% |
| TommysGotClout vs Nina | 27–22 | 55.10% |
| TommysGotClout vs Jack-8 | 25–23 | 52.08% |
| TommysGotClout vs Alisa | 18–30 | 37.50% |
| TommysGotClout vs Zafina | 15–31 | 32.61% |
| TommysGotClout vs Leroy | 24–22 | 52.17% |
| TommysGotClout vs Feng | 17–25 | 40.48% |
| TommysGotClout vs Raven | 30–9 | 76.92% |
| TommysGotClout vs Shaheen | 23–10 | 69.70% |
| TommysGotClout vs Claudio | 19–13 | 59.38% |
| TommysGotClout vs Panda | 2–3 | 40.00% |
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.