Name history
| Toast | |
| Random shark | |
| SEA SALT | |
| ToastMalone | |
| Paper Farm | |
| Kmart | |
| Itsmybirthday | |
| Okanjima | |
| Fun Practicing | |
| Humlander | |
| Gambit | |
| Red Imposter |
| Toast vs Bryan | 127–113 | 52.92% |
| Toast vs Kazuya | 119–96 | 55.35% |
| Toast vs King | 98–76 | 56.32% |
| Toast vs Jin | 80–82 | 49.38% |
| Toast vs Steve | 68–83–1 | 45.03% |
| Toast vs Lee | 67–50 | 57.26% |
| Toast vs Dragunov | 49–58 | 45.79% |
| Toast vs Paul | 50–42 | 54.35% |
| Toast vs Yoshimitsu | 48–38 | 55.81% |
| Toast vs Hwoarang | 40–42 | 48.78% |
| Toast vs Heihachi | 30–49 | 37.97% |
| Toast vs Reina | 37–30 | 55.22% |
| Toast vs Law | 25–39 | 39.06% |
| Toast vs Asuka | 40–23 | 63.49% |
| Toast vs Devil Jin | 36–26 | 58.06% |
| Toast vs Lili | 29–32 | 47.54% |
| Toast vs Xiaoyu | 24–30 | 44.44% |
| Toast vs Victor | 22–31 | 41.51% |
| Toast vs Jun | 34–18 | 65.38% |
| Toast vs Claudio | 22–27 | 44.90% |
| Toast vs Jack-8 | 17–31 | 35.42% |
| Toast vs Azucena | 35–13 | 72.92% |
| Toast vs Eddy | 19–24 | 44.19% |
| Toast vs Feng | 18–23 | 43.90% |
| Toast vs Lars | 20–20 | 50.00% |
| Toast vs Clive | 21–16 | 56.76% |
| Toast vs Raven | 16–16 | 50.00% |
| Toast vs Alisa | 16–15 | 51.61% |
| Toast vs Nina | 13–18 | 41.94% |
| Toast vs Zafina | 18–13 | 58.06% |
| Toast vs Kuma | 11–19 | 36.67% |
| Toast vs Lidia | 10–18 | 35.71% |
| Toast vs Anna | 14–11 | 56.00% |
| Toast vs Armor King | 10–8 | 55.56% |
| Toast vs Shaheen | 11–5 | 68.75% |
| Toast vs Leroy | 7–9 | 43.75% |
| Toast vs Leo | 6–8 | 42.86% |
| Toast vs Fahkumram | 8–6 | 57.14% |
| Toast vs Panda | 6–6 | 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.