| Glitch_01 vs Reina | 30–18 | 62.50% |
| Glitch_01 vs Heihachi | 19–24 | 44.19% |
| Glitch_01 vs Jin | 19–23 | 45.24% |
| Glitch_01 vs Lidia | 14–24 | 36.84% |
| Glitch_01 vs King | 17–20 | 45.95% |
| Glitch_01 vs Lili | 19–17 | 52.78% |
| Glitch_01 vs Law | 14–21 | 40.00% |
| Glitch_01 vs Steve | 10–17 | 37.04% |
| Glitch_01 vs Asuka | 14–10 | 58.33% |
| Glitch_01 vs Jun | 12–11 | 52.17% |
| Glitch_01 vs Xiaoyu | 12–9 | 57.14% |
| Glitch_01 vs Lee | 7–12 | 36.84% |
| Glitch_01 vs Azucena | 6–13 | 31.58% |
| Glitch_01 vs Alisa | 10–8 | 55.56% |
| Glitch_01 vs Nina | 8–9 | 47.06% |
| Glitch_01 vs Victor | 4–13 | 23.53% |
| Glitch_01 vs Bryan | 7–9 | 43.75% |
| Glitch_01 vs Dragunov | 7–9 | 43.75% |
| Glitch_01 vs Hwoarang | 5–10 | 33.33% |
| Glitch_01 vs Devil Jin | 8–7 | 53.33% |
| Glitch_01 vs Paul | 8–5 | 61.54% |
| Glitch_01 vs Kazuya | 6–7 | 46.15% |
| Glitch_01 vs Yoshimitsu | 2–9 | 18.18% |
| Glitch_01 vs Eddy | 5–6 | 45.45% |
| Glitch_01 vs Claudio | 7–3 | 70.00% |
| Glitch_01 vs Leroy | 3–6 | 33.33% |
| Glitch_01 vs Kuma | 3–5 | 37.50% |
| Glitch_01 vs Jack-8 | 4–3 | 57.14% |
| Glitch_01 vs Feng | 3–4 | 42.86% |
| Glitch_01 vs Shaheen | 1–6 | 14.29% |
| Glitch_01 vs Raven | 3–4 | 42.86% |
| Glitch_01 vs Leo | 2–4 | 33.33% |
| Glitch_01 vs Lars | 2–4 | 33.33% |
| Glitch_01 vs Miary Zo | 5–1 | 83.33% |
| Glitch_01 vs Panda | 0–4 | 0.00% |
| Glitch_01 vs Armor King | 2–2 | 50.00% |
| Glitch_01 vs Clive | 1–2 | 33.33% |
| Glitch_01 vs Zafina | 0–2 | 0.00% |
| Glitch_01 vs Anna | 0–2 | 0.00% |
| Glitch_01 vs Fahkumram | 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.