| TimmyJickle vs King | 11–30 | 26.83% |
| TimmyJickle vs Eddy | 11–20 | 35.48% |
| TimmyJickle vs Armor King | 10–20 | 33.33% |
| TimmyJickle vs Azucena | 13–16 | 44.83% |
| TimmyJickle vs Jin | 13–15 | 46.43% |
| TimmyJickle vs Kazuya | 11–17 | 39.29% |
| TimmyJickle vs Reina | 11–16 | 40.74% |
| TimmyJickle vs Miary Zo | 12–12 | 50.00% |
| TimmyJickle vs Lili | 15–5 | 75.00% |
| TimmyJickle vs Victor | 10–9 | 52.63% |
| TimmyJickle vs Steve | 11–6 | 64.71% |
| TimmyJickle vs Lee | 6–11 | 35.29% |
| TimmyJickle vs Heihachi | 6–10 | 37.50% |
| TimmyJickle vs Xiaoyu | 7–8 | 46.67% |
| TimmyJickle vs Jun | 9–6 | 60.00% |
| TimmyJickle vs Fahkumram | 6–9 | 40.00% |
| TimmyJickle vs Lidia | 8–6 | 57.14% |
| TimmyJickle vs Hwoarang | 8–5 | 61.54% |
| TimmyJickle vs Bryan | 2–10 | 16.67% |
| TimmyJickle vs Lars | 4–7 | 36.36% |
| TimmyJickle vs Dragunov | 3–7 | 30.00% |
| TimmyJickle vs Nina | 5–4 | 55.56% |
| TimmyJickle vs Clive | 3–6 | 33.33% |
| TimmyJickle vs Leroy | 4–4 | 50.00% |
| TimmyJickle vs Law | 1–6 | 14.29% |
| TimmyJickle vs Feng | 3–4 | 42.86% |
| TimmyJickle vs Kuma | 0–7 | 0.00% |
| TimmyJickle vs Anna | 2–5 | 28.57% |
| TimmyJickle vs Paul | 2–4 | 33.33% |
| TimmyJickle vs Asuka | 0–6 | 0.00% |
| TimmyJickle vs Raven | 2–4 | 33.33% |
| TimmyJickle vs Yoshimitsu | 1–4 | 20.00% |
| TimmyJickle vs Jack-8 | 2–3 | 40.00% |
| TimmyJickle vs Devil Jin | 2–2 | 50.00% |
| TimmyJickle vs Claudio | 3–1 | 75.00% |
| TimmyJickle vs Alisa | 2–1 | 66.67% |
| TimmyJickle vs Shaheen | 2–1 | 66.67% |
| TimmyJickle vs Leo | 1–1 | 50.00% |
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.