| ThermalGecko vs Armor King | 16–26 | 38.10% |
| ThermalGecko vs Kazuya | 17–21 | 44.74% |
| ThermalGecko vs Steve | 28–10 | 73.68% |
| ThermalGecko vs Jun | 14–18 | 43.75% |
| ThermalGecko vs King | 22–8 | 73.33% |
| ThermalGecko vs Reina | 12–18 | 40.00% |
| ThermalGecko vs Jin | 12–17 | 41.38% |
| ThermalGecko vs Hwoarang | 10–15 | 40.00% |
| ThermalGecko vs Asuka | 12–12 | 50.00% |
| ThermalGecko vs Dragunov | 10–12 | 45.45% |
| ThermalGecko vs Bryan | 3–16 | 15.79% |
| ThermalGecko vs Lili | 9–10 | 47.37% |
| ThermalGecko vs Eddy | 6–12 | 33.33% |
| ThermalGecko vs Yoshimitsu | 8–9 | 47.06% |
| ThermalGecko vs Alisa | 8–9 | 47.06% |
| ThermalGecko vs Fahkumram | 8–9 | 47.06% |
| ThermalGecko vs Heihachi | 13–3 | 81.25% |
| ThermalGecko vs Anna | 9–7 | 56.25% |
| ThermalGecko vs Lars | 9–5 | 64.29% |
| ThermalGecko vs Azucena | 5–8 | 38.46% |
| ThermalGecko vs Law | 5–7 | 41.67% |
| ThermalGecko vs Leo | 5–7 | 41.67% |
| ThermalGecko vs Leroy | 6–6 | 50.00% |
| ThermalGecko vs Clive | 6–6 | 50.00% |
| ThermalGecko vs Nina | 5–5 | 50.00% |
| ThermalGecko vs Kuma | 5–5 | 50.00% |
| ThermalGecko vs Lidia | 5–4 | 55.56% |
| ThermalGecko vs Devil Jin | 4–4 | 50.00% |
| ThermalGecko vs Feng | 4–4 | 50.00% |
| ThermalGecko vs Lee | 3–5 | 37.50% |
| ThermalGecko vs Paul | 0–7 | 0.00% |
| ThermalGecko vs Xiaoyu | 3–4 | 42.86% |
| ThermalGecko vs Raven | 2–5 | 28.57% |
| ThermalGecko vs Zafina | 4–2 | 66.67% |
| ThermalGecko vs Victor | 2–3 | 40.00% |
| ThermalGecko vs Claudio | 0–3 | 0.00% |
| ThermalGecko vs Panda | 3–0 | 100.00% |
| ThermalGecko vs Jack-8 | 0–2 | 0.00% |
| ThermalGecko 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.