Name history
| Goku88 | |
| 1988ninja | |
| Bi ninja88 | |
| Son_Goku88 | |
| Lord`B_Ruzz88 | |
| Supa-Sayin1988 | |
| Supasayin88 | |
| Ced1988 | |
| 1988gamerRIPAKT | |
| 1988gamer RIPAK | |
| RIPAKT1988gamer |
| Goku88 vs King | 106–141 | 42.91% |
| Goku88 vs Law | 67–121 | 35.64% |
| Goku88 vs Jin | 74–106 | 41.11% |
| Goku88 vs Steve | 68–103 | 39.77% |
| Goku88 vs Kazuya | 71–89 | 44.38% |
| Goku88 vs Eddy | 41–106 | 27.89% |
| Goku88 vs Reina | 54–80 | 40.30% |
| Goku88 vs Azucena | 42–88 | 32.31% |
| Goku88 vs Bryan | 44–78 | 36.07% |
| Goku88 vs Hwoarang | 55–64 | 46.22% |
| Goku88 vs Jun | 47–72 | 39.50% |
| Goku88 vs Lili | 44–62 | 41.51% |
| Goku88 vs Dragunov | 37–52 | 41.57% |
| Goku88 vs Lars | 33–49 | 40.24% |
| Goku88 vs Asuka | 30–50 | 37.50% |
| Goku88 vs Yoshimitsu | 26–53 | 32.91% |
| Goku88 vs Lee | 31–48 | 39.24% |
| Goku88 vs Lidia | 24–47 | 33.80% |
| Goku88 vs Victor | 26–40 | 39.39% |
| Goku88 vs Leo | 27–38 | 41.54% |
| Goku88 vs Paul | 30–33 | 47.62% |
| Goku88 vs Alisa | 17–41 | 29.31% |
| Goku88 vs Heihachi | 20–35 | 36.36% |
| Goku88 vs Jack-8 | 20–31 | 39.22% |
| Goku88 vs Raven | 32–19 | 62.75% |
| Goku88 vs Leroy | 25–24 | 51.02% |
| Goku88 vs Devil Jin | 9–39 | 18.75% |
| Goku88 vs Feng | 18–29 | 38.30% |
| Goku88 vs Nina | 17–24 | 41.46% |
| Goku88 vs Xiaoyu | 16–24 | 40.00% |
| Goku88 vs Kuma | 11–27 | 28.95% |
| Goku88 vs Claudio | 12–18 | 40.00% |
| Goku88 vs Shaheen | 10–15 | 40.00% |
| Goku88 vs Anna | 9–13 | 40.91% |
| Goku88 vs Zafina | 10–11 | 47.62% |
| Goku88 vs Fahkumram | 6–12 | 33.33% |
| Goku88 vs Clive | 5–11 | 31.25% |
| Goku88 vs Panda | 0–6 | 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.