| Ikkaros007_TTV vs Armor King | 13–31 | 29.55% |
| Ikkaros007_TTV vs Steve | 12–19 | 38.71% |
| Ikkaros007_TTV vs Jin | 10–20 | 33.33% |
| Ikkaros007_TTV vs Reina | 14–16 | 46.67% |
| Ikkaros007_TTV vs Kazuya | 15–13 | 53.57% |
| Ikkaros007_TTV vs King | 9–16 | 36.00% |
| Ikkaros007_TTV vs Law | 8–16 | 33.33% |
| Ikkaros007_TTV vs Azucena | 11–11 | 50.00% |
| Ikkaros007_TTV vs Yoshimitsu | 12–9 | 57.14% |
| Ikkaros007_TTV vs Dragunov | 6–14 | 30.00% |
| Ikkaros007_TTV vs Hwoarang | 4–13 | 23.53% |
| Ikkaros007_TTV vs Asuka | 5–11 | 31.25% |
| Ikkaros007_TTV vs Heihachi | 5–10 | 33.33% |
| Ikkaros007_TTV vs Eddy | 2–12 | 14.29% |
| Ikkaros007_TTV vs Lars | 5–8 | 38.46% |
| Ikkaros007_TTV vs Lidia | 4–9 | 30.77% |
| Ikkaros007_TTV vs Bryan | 6–6 | 50.00% |
| Ikkaros007_TTV vs Lili | 3–9 | 25.00% |
| Ikkaros007_TTV vs Alisa | 4–8 | 33.33% |
| Ikkaros007_TTV vs Jun | 4–7 | 36.36% |
| Ikkaros007_TTV vs Clive | 0–10 | 0.00% |
| Ikkaros007_TTV vs Xiaoyu | 4–5 | 44.44% |
| Ikkaros007_TTV vs Leroy | 7–2 | 77.78% |
| Ikkaros007_TTV vs Victor | 0–8 | 0.00% |
| Ikkaros007_TTV vs Anna | 3–5 | 37.50% |
| Ikkaros007_TTV vs Leo | 2–5 | 28.57% |
| Ikkaros007_TTV vs Feng | 3–3 | 50.00% |
| Ikkaros007_TTV vs Fahkumram | 2–3 | 40.00% |
| Ikkaros007_TTV vs Paul | 0–4 | 0.00% |
| Ikkaros007_TTV vs Jack-8 | 2–2 | 50.00% |
| Ikkaros007_TTV vs Lee | 1–3 | 25.00% |
| Ikkaros007_TTV vs Nina | 0–3 | 0.00% |
| Ikkaros007_TTV vs Panda | 0–3 | 0.00% |
| Ikkaros007_TTV vs Zafina | 2–0 | 100.00% |
| Ikkaros007_TTV vs Devil Jin | 0–1 | 0.00% |
| Ikkaros007_TTV vs Shaheen | 1–0 | 100.00% |
| Ikkaros007_TTV vs Kuma | 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.