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DefeatRanked
RY
DHRYUpdated 2 days ago
Steam
JapanClub · kirakirastarsC100%
SteamJapanClub · kirakirastarsC100%びこ太郎
Go Beyond the Battle!
MR 1,932#2,327Last 103–7-28Last 208–12-25
Winrate
55%
96W · 80L · 176 stored
Ranked matches
176
selected mode
Wins
96
Ranked
Losses
80
Ranked
Peak MR
1,968
Ryu
Ranked MR · Ryu
176 local · 0 imported · 176 on chart · 267 battles stored
Replay not requested
RYDHPlaystyle reference
Habits vs top 30 Ryu
Benchmark refreshed Sep 6, 2026, 7:23 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
RYLargest absolute differences first23 habits
| Habit | びこ太郎 | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA1 | 47.5% | 34.9% | +12.6% | |
| Drive Rush (cancel) | 47.1% | 36.4% | +10.7% | |
| SA2 | 12.7% | 20.3% | -7.5% | |
| SA3 | 31.4% | 35.4% | -4.1% | |
| Drive Guard | 9.1% | 11.9% | -2.7% | |
| Drive Rush (parry) | 3.7% | 6.4% | -2.7% | |
| Corner pressure | 8.80 | 10.94 | -2.14 | |
| CA | 8.5% | 9.4% | -0.9% | |
| Drive Impact gauge | 1.9% | 1.1% | +0.8% | |
| Throws | 1.50 | 2.20 | -0.70 | |
| Got thrown | 1.80 | 2.06 | -0.26 | |
| Perfect Parry | 0.50 | 0.71 | -0.21 | |
| Drive Arts | 18.7% | 18.9% | -0.2% | |
| Throw techs | 0.30 | 0.44 | -0.14 | |
| Got Punish Countered | 0.20 | 0.07 | +0.13 | |
| Time cornered | 8.70 | 8.58 | +0.12 | |
| Throw parries | 0.10 | 0.21 | -0.11 | |
| Drive Parry | 1.60 | 1.69 | -0.09 | |
| Got stunned | 0.10 | 0.05 | +0.05 | |
| Stuns landed | 0.00 | 0.05 | -0.05 | |
| Drive Reversal | 0.20 | 0.15 | +0.05 | |
| Drive Impact | 0.20 | 0.16 | +0.04 | |
| Punish Counters landed | 0.10 | 0.08 | +0.02 |
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.
Checking for a saved match plan…
Uses public profile stats with OpenRouter’s free AI models. Plans are shared and saved for reuse. Suggestions are hypotheses, not replay analysis.Saved match plans
Previously generated AI plans, with their original supporting stats and data dates. Expand a plan to read both perspectives.
Ryu · Latest 100
What to improve
Find the cause of punish events
Got Punish Countered: profile 0 · reference 0.07
Review five Punish Counters received and five landed. Separate whiffed attacks from unsafe actions on block before choosing what to practice.
Try thisRecreate one repeated situation in training. Check the spacing and frame meter, then practice a safer choice or a punish that actually connects.
Supporting stats
- Got Punish Countered: profile 0 · reference 0.07
- Punish Counters landed: profile 0.1 · reference 0.08
Review defensive decisions
Perfect Parry: profile 0.3 · reference 0.71
Compare five defensive situations: what did the opponent do, what did you choose, and what happened? Low parry or throw-tech counts alone do not establish a weakness.
Try thisRecord two different options from one troublesome situation. Practice identifying them and choosing a response, then review whether the same decision improves in your next set.
Supporting stats
- Perfect Parry: profile 0.3 · reference 0.71
- Drive Parry: profile 1.6 · reference 1.69
- Drive Reversal: profile 0.2 · reference 0.15
Give each meter spend a purpose
SA1: profile 53.9% · reference 34.9%
Review five resource decisions with the actual gauge visible. Note what the spend gained and what options remained; usage shares alone cannot measure efficiency.
Try thisPractice a familiar sequence with a resource spend and a conservation alternative. Compare the outcome and remaining gauge before deciding which situation calls for each.
Supporting stats
- SA1: profile 53.9% · reference 34.9%
- SA2: profile 10.9% · reference 20.3%
- SA3: profile 29.7% · reference 35.4%
AI selects and prioritizes reviewed practice plans from the cited stats. Habits cover the whole profile; character records and recent samples have separate scopes. These are ideas to test, not confirmed weaknesses or video analysis. Latest reported trends across the last 100 matches, not lifetime habit averages.
Data saved Sep 9, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Marisa: 71 wins in 94 games
A lower win rate suggests footage to examine, not a guaranteed counterpick. Check whether the same difficult situation appears in multiple matches.
Try thisIf you play the cited character, test one familiar situation from that footage. If the player handles it well, abandon the assumption and adapt to what they show.
Supporting stats
- vs Marisa: 71 wins in 94 games
- vs M. Bison: 69 wins in 81 games
- vs Mai: 19 wins in 64 games
Separate a tendency from a one-off event
Recent stored ranked sample: 56 wins in 100 games
Scout several recent matches and compare wins with losses. Prepare around a repeated situation rather than one memorable mistake.
Try thisUse the first round to check one scouting hypothesis. If it repeats, apply your prepared adjustment; if it does not, discard it and observe a new pattern.
Supporting stats
- Recent stored ranked sample: 56 wins in 100 games
Test the close-range pattern
Throw techs: profile 0 · reference 0.44
Observe actual strike, throw and defensive choices at close range. Change one part of your familiar mix only after a tendency appears.
Try thisIf the same response repeats twice, try a different option in that situation. If the player changes their response, return to varied choices instead of assuming the pattern is permanent.
Supporting stats
- Throw techs: profile 0 · reference 0.44
- Throws: profile 1.3 · reference 2.2
- Got thrown: profile 1.6 · reference 2.06
AI selects and prioritizes reviewed practice plans from the cited stats. Habits cover the whole profile; character records and recent samples have separate scopes. These are ideas to test, not confirmed weaknesses or video analysis. Latest reported trends across the last 100 matches, not lifetime habit averages.
Data saved Sep 9, 2026 · AI: dots-studio/dots-3-note-preview:free