| TirelessSlacker vs Hwoarang | 6–15 | 28.57% |
| TirelessSlacker vs King | 9–11 | 45.00% |
| TirelessSlacker vs Reina | 11–9 | 55.00% |
| TirelessSlacker vs Heihachi | 10–8 | 55.56% |
| TirelessSlacker vs Lidia | 6–11 | 35.29% |
| TirelessSlacker vs Victor | 3–13 | 18.75% |
| TirelessSlacker vs Zafina | 1–12 | 7.69% |
| TirelessSlacker vs Bryan | 4–8 | 33.33% |
| TirelessSlacker vs Asuka | 6–5 | 54.55% |
| TirelessSlacker vs Kazuya | 4–5 | 44.44% |
| TirelessSlacker vs Devil Jin | 5–4 | 55.56% |
| TirelessSlacker vs Kuma | 1–8 | 11.11% |
| TirelessSlacker vs Eddy | 3–6 | 33.33% |
| TirelessSlacker vs Clive | 3–6 | 33.33% |
| TirelessSlacker vs Law | 4–4 | 50.00% |
| TirelessSlacker vs Yoshimitsu | 2–6 | 25.00% |
| TirelessSlacker vs Lars | 1–7 | 12.50% |
| TirelessSlacker vs Azucena | 4–4 | 50.00% |
| TirelessSlacker vs Lee | 3–4 | 42.86% |
| TirelessSlacker vs Steve | 1–5 | 16.67% |
| TirelessSlacker vs Paul | 1–4 | 20.00% |
| TirelessSlacker vs Jin | 1–4 | 20.00% |
| TirelessSlacker vs Feng | 1–4 | 20.00% |
| TirelessSlacker vs Dragunov | 1–4 | 20.00% |
| TirelessSlacker vs Shaheen | 2–3 | 40.00% |
| TirelessSlacker vs Raven | 2–3 | 40.00% |
| TirelessSlacker vs Jack-8 | 0–4 | 0.00% |
| TirelessSlacker vs Lili | 2–2 | 50.00% |
| TirelessSlacker vs Alisa | 2–1 | 66.67% |
| TirelessSlacker vs Anna | 2–1 | 66.67% |
| TirelessSlacker vs Leo | 0–2 | 0.00% |
| TirelessSlacker vs Nina | 0–2 | 0.00% |
| TirelessSlacker vs Panda | 2–0 | 100.00% |
| TirelessSlacker vs Jun | 0–2 | 0.00% |
| TirelessSlacker vs Claudio | 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.