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KEランガサミ/rangasamy — Street Fighter 6 Stats
Ranked analytics on SF6 Stats · main E. Honda · peak MR 2,055. MR and LP charts, match history, matchups, rivals, and habits vs Legends.
E.Updated 12 minutes ago
Steam
JapanClub · SUZUKIC100%
SteamJapanClub · SUZUKIC100%ランガサミ/rangasamy
Let's Do This
MR 2,055#714Last 105–5-4Last 2011–9+11
Winrate
48%
188W · 201L · 389 stored
Ranked matches
389
selected mode
Wins
188
Ranked
Losses
201
Ranked
Peak MR
2,257
E. Honda
Ranked MR · E. Honda
389 local · 2931 imported · 3313 on chart · 414 battles stored
Replay not requested
E.KEPlaystyle reference
Habits vs top 30 E. Honda
Benchmark refreshed Sep 13, 2026, 1:18 AM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
E.Largest absolute differences first23 habits
| Habit | ランガサミ/rangasamy | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA1 | 51.4% | 38.1% | +13.2% | |
| SA2 | 5.6% | 13.6% | -8.1% | |
| Drive Arts | 29.9% | 22.0% | +7.9% | |
| CA | 5.6% | 11.5% | -6.0% | |
| Drive Rush (cancel) | 18.3% | 22.8% | -4.4% | |
| Drive Guard | 17.5% | 14.5% | +3.0% | |
| Corner pressure | 7.40 | 9.02 | -1.62 | |
| Drive Rush (parry) | 8.9% | 7.8% | +1.0% | |
| SA3 | 37.5% | 36.7% | +0.8% | |
| Time cornered | 9.00 | 9.78 | -0.78 | |
| Drive Parry | 2.40 | 1.87 | +0.53 | |
| Drive Impact gauge | 1.4% | 1.9% | -0.5% | |
| Throws | 1.40 | 1.81 | -0.41 | |
| Drive Reversal | 0.10 | 0.39 | -0.29 | |
| Got thrown | 2.20 | 2.37 | -0.17 | |
| Punish Counters landed | 0.00 | 0.13 | -0.13 | |
| Drive Impact | 0.10 | 0.22 | -0.12 | |
| Throw techs | 0.70 | 0.59 | +0.11 | |
| Got Punish Countered | 0.00 | 0.10 | -0.10 | |
| Stuns landed | 0.00 | 0.07 | -0.07 | |
| Throw parries | 0.20 | 0.26 | -0.06 | |
| Got stunned | 0.00 | 0.05 | -0.05 | |
| Perfect Parry | 0.60 | 0.60 | 0.00 |
FROM STATS TO PRACTICE
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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.