Name history
| PibbleTripTTV | |
| CheatersKillT8 | |
| Pibble | |
| Aeon Flux Y2k | |
| NotSoprano TTV | |
| ExplusionTTV | |
| Usher |
| PibbleTripTTV vs Hwoarang | 103–71 | 59.20% |
| PibbleTripTTV vs Jin | 77–69 | 52.74% |
| PibbleTripTTV vs King | 94–45 | 67.63% |
| PibbleTripTTV vs Bryan | 76–59 | 56.30% |
| PibbleTripTTV vs Law | 65–66 | 49.62% |
| PibbleTripTTV vs Jun | 61–57 | 51.69% |
| PibbleTripTTV vs Yoshimitsu | 63–50–1 | 55.75% |
| PibbleTripTTV vs Kazuya | 61–51 | 54.46% |
| PibbleTripTTV vs Reina | 57–55 | 50.89% |
| PibbleTripTTV vs Lili | 63–47 | 57.27% |
| PibbleTripTTV vs Steve | 49–54 | 47.57% |
| PibbleTripTTV vs Asuka | 47–53 | 47.00% |
| PibbleTripTTV vs Lars | 58–41 | 58.59% |
| PibbleTripTTV vs Feng | 44–50 | 46.81% |
| PibbleTripTTV vs Dragunov | 34–52 | 39.53% |
| PibbleTripTTV vs Paul | 48–36 | 57.14% |
| PibbleTripTTV vs Nina | 51–33 | 60.71% |
| PibbleTripTTV vs Eddy | 46–38 | 54.76% |
| PibbleTripTTV vs Lee | 40–38 | 51.28% |
| PibbleTripTTV vs Azucena | 42–35 | 54.55% |
| PibbleTripTTV vs Alisa | 37–33 | 52.86% |
| PibbleTripTTV vs Xiaoyu | 32–36 | 47.06% |
| PibbleTripTTV vs Leo | 36–32 | 52.94% |
| PibbleTripTTV vs Devil Jin | 31–36 | 46.27% |
| PibbleTripTTV vs Victor | 35–29 | 54.69% |
| PibbleTripTTV vs Raven | 30–33 | 47.62% |
| PibbleTripTTV vs Jack-8 | 31–29 | 51.67% |
| PibbleTripTTV vs Leroy | 28–23 | 54.90% |
| PibbleTripTTV vs Shaheen | 16–13 | 55.17% |
| PibbleTripTTV vs Anna | 13–15 | 46.43% |
| PibbleTripTTV vs Zafina | 22–5 | 81.48% |
| PibbleTripTTV vs Heihachi | 13–13 | 50.00% |
| PibbleTripTTV vs Clive | 16–10 | 61.54% |
| PibbleTripTTV vs Claudio | 11–11 | 50.00% |
| PibbleTripTTV vs Lidia | 9–13 | 40.91% |
| PibbleTripTTV vs Kuma | 7–13 | 35.00% |
| PibbleTripTTV vs Fahkumram | 11–8 | 57.89% |
| PibbleTripTTV vs Panda | 8–5 | 61.54% |
| PibbleTripTTV vs Armor King | 2–4 | 33.33% |
| PibbleTripTTV vs Miary Zo | 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.