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DefeatRanked
JU
ALsoy/(^o^)\ — Street Fighter 6 Stats
Ranked analytics on SF6 Stats · main Juri · peak MR 1,504. MR and LP charts, match history, matchups, rivals, and habits vs Legends.
JUUpdated 4 days ago
CrossPlatform
JapanC100%
CrossPlatformJapanC100%soy/(^o^)\
Need a Ride?
MR 1,504#237,706Last 102–8-49Last 207–13-28
Winrate
44%
61W · 77L · 138 stored
Ranked matches
138
selected mode
Wins
61
Ranked
Losses
77
Ranked
Peak MR
1,522
Juri
Ranked MR · Juri
69 local · 0 imported · 69 on chart · 138 battles stored
Replay not requested
JUALPlaystyle reference
Habits vs top 30 Juri
Benchmark refreshed Sep 16, 2026, 10:29 AM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
JULargest absolute differences first23 habits
| Habit | soy/(^o^)\ | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA2 | 8.3% | 16.9% | -8.6% | |
| SA3 | 41.7% | 34.9% | +6.8% | |
| Corner pressure | 7.90 | 12.56 | -4.66 | |
| Drive Rush (cancel) | 37.2% | 32.9% | +4.3% | |
| CA | 13.3% | 9.8% | +3.5% | |
| Drive Arts | 16.9% | 18.9% | -2.0% | |
| SA1 | 36.7% | 38.3% | -1.7% | |
| Time cornered | 7.40 | 8.68 | -1.28 | |
| Throws | 2.00 | 2.72 | -0.72 | |
| Drive Impact gauge | 2.6% | 2.0% | +0.6% | |
| Drive Guard | 13.9% | 13.4% | +0.5% | |
| Drive Parry | 2.30 | 2.03 | +0.27 | |
| Perfect Parry | 0.50 | 0.75 | -0.25 | |
| Throw techs | 0.20 | 0.41 | -0.21 | |
| Got Punish Countered | 0.20 | 0.10 | +0.10 | |
| Drive Reversal | 0.30 | 0.20 | +0.10 | |
| Drive Rush (parry) | 6.9% | 7.0% | -0.1% | |
| Punish Counters landed | 0.20 | 0.12 | +0.08 | |
| Throw parries | 0.20 | 0.28 | -0.08 | |
| Got thrown | 2.20 | 2.13 | +0.07 | |
| Got stunned | 0.10 | 0.06 | +0.04 | |
| Drive Impact | 0.30 | 0.26 | +0.04 | |
| Stuns landed | 0.10 | 0.09 | +0.01 |
FROM STATS TO PRACTICE
Latest 100Match plan
Turn this profile’s habits and results into ideas to test. Habits cover all characters; the selected character sets the comparison group.
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Uses public profile stats with OpenRouter’s free AI models. Plans are shared and saved for reuse. Suggestions are hypotheses, not replay analysis.