Name history
| ILOVEGAMBLING | |
| Nerevarine | |
| Little Johnson | |
| MiracleMan | |
| J Goldstriker | |
| AgarthanWarrior |
| ILOVEGAMBLING vs Jin | 28–26 | 51.85% |
| ILOVEGAMBLING vs Kazuya | 29–25 | 53.70% |
| ILOVEGAMBLING vs Reina | 27–20 | 57.45% |
| ILOVEGAMBLING vs Lidia | 22–15 | 59.46% |
| ILOVEGAMBLING vs Hwoarang | 18–15 | 54.55% |
| ILOVEGAMBLING vs Steve | 22–8 | 73.33% |
| ILOVEGAMBLING vs Law | 10–18 | 35.71% |
| ILOVEGAMBLING vs Lili | 9–18 | 33.33% |
| ILOVEGAMBLING vs Dragunov | 17–8 | 68.00% |
| ILOVEGAMBLING vs Azucena | 15–10 | 60.00% |
| ILOVEGAMBLING vs Bryan | 8–15 | 34.78% |
| ILOVEGAMBLING vs Heihachi | 9–13 | 40.91% |
| ILOVEGAMBLING vs Victor | 9–12 | 42.86% |
| ILOVEGAMBLING vs Yoshimitsu | 9–10 | 47.37% |
| ILOVEGAMBLING vs Lars | 9–9 | 50.00% |
| ILOVEGAMBLING vs King | 12–5 | 70.59% |
| ILOVEGAMBLING vs Claudio | 5–12 | 29.41% |
| ILOVEGAMBLING vs Eddy | 8–9 | 47.06% |
| ILOVEGAMBLING vs Paul | 7–8 | 46.67% |
| ILOVEGAMBLING vs Devil Jin | 3–11 | 21.43% |
| ILOVEGAMBLING vs Alisa | 3–11 | 21.43% |
| ILOVEGAMBLING vs Jack-8 | 8–4 | 66.67% |
| ILOVEGAMBLING vs Asuka | 6–6 | 50.00% |
| ILOVEGAMBLING vs Leo | 5–7 | 41.67% |
| ILOVEGAMBLING vs Leroy | 8–4 | 66.67% |
| ILOVEGAMBLING vs Jun | 3–6 | 33.33% |
| ILOVEGAMBLING vs Xiaoyu | 3–5 | 37.50% |
| ILOVEGAMBLING vs Feng | 5–3 | 62.50% |
| ILOVEGAMBLING vs Nina | 4–4 | 50.00% |
| ILOVEGAMBLING vs Kuma | 5–3 | 62.50% |
| ILOVEGAMBLING vs Shaheen | 2–4 | 33.33% |
| ILOVEGAMBLING vs Lee | 0–5 | 0.00% |
| ILOVEGAMBLING vs Raven | 3–2 | 60.00% |
| ILOVEGAMBLING vs Clive | 1–2 | 33.33% |
| ILOVEGAMBLING vs Zafina | 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.