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VictoryRanked
RYRY
GUUpdated 6 days ago
CrossPlatform
JapanClub · GuilesOpenBaseC100%
CrossPlatformJapanClub · GuilesOpenBaseC100%よろっくん
Let's Do This
MR 1,505#225,859Last 105–5-1Last 2010–10-2
Winrate
53%
21W · 19L · 40 stored
Ranked matches
40
selected mode
Wins
21
Ranked
Losses
19
Ranked
Peak MR
1,589
Guile
Ranked MR · Guile
40 local · 0 imported · 40 on chart · 40 battles stored
Replay not requested
RYRYPlaystyle reference
Habits vs top 30 Guile
Benchmark refreshed Sep 8, 2026, 10:15 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
GULargest absolute differences first23 habits
| Habit | よろっくん | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| Drive Rush (cancel) | 15.9% | 29.7% | -13.9% | |
| SA2 | 13.7% | 27.1% | -13.4% | |
| SA3 | 30.1% | 20.5% | +9.7% | |
| Drive Arts | 25.1% | 17.7% | +7.4% | |
| CA | 12.3% | 5.3% | +7.0% | |
| SA1 | 43.8% | 47.2% | -3.3% | |
| Corner pressure | 6.00 | 9.03 | -3.03 | |
| Drive Impact gauge | 3.5% | 1.6% | +1.9% | |
| Time cornered | 8.10 | 9.86 | -1.76 | |
| Drive Rush (parry) | 10.9% | 9.4% | +1.6% | |
| Drive Guard | 15.9% | 14.7% | +1.2% | |
| Perfect Parry | 0.10 | 0.57 | -0.47 | |
| Throws | 2.20 | 1.87 | +0.33 | |
| Throw techs | 0.10 | 0.39 | -0.29 | |
| Drive Reversal | 0.00 | 0.21 | -0.21 | |
| Got Punish Countered | 0.30 | 0.11 | +0.19 | |
| Drive Parry | 1.50 | 1.68 | -0.18 | |
| Drive Impact | 0.30 | 0.21 | +0.09 | |
| Punish Counters landed | 0.20 | 0.12 | +0.08 | |
| Got thrown | 1.90 | 1.97 | -0.07 | |
| Got stunned | 0.00 | 0.05 | -0.05 | |
| Throw parries | 0.20 | 0.24 | -0.04 | |
| Stuns landed | 0.10 | 0.06 | +0.04 |
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.
Guile · Latest 100
What to improve
Find the cause of punish events
Got Punish Countered: profile 0.3 · reference 0.11
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 0.3 · reference 0.11
Give each meter spend a purpose
Drive Arts: profile 25.1% · reference 18.5%
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
- Drive Arts: profile 25.1% · reference 18.5%
- SA3: profile 30.1% · reference 23.3%
Trace how you lose or gain space
Corner pressure: profile 6 · reference 9
Review five trips into the corner. Identify the earlier decision that gave up space, not just the final escape attempt. Check successful corner pressure too.
Try thisRecreate one recurring position in training. Compare your usual response with a less committal alternative, then track whether you reach the corner less often over the next set.
Supporting stats
- Corner pressure: profile 6 · reference 9
- Time cornered: profile 8.1 · reference 9.84
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 8, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Luke: 26 wins in 46 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 Luke: 26 wins in 46 games
- vs Ryu: 30 wins in 58 games
- vs Zangief: 35 wins in 60 games
Separate a tendency from a one-off event
Recent stored ranked sample: 16 wins in 29 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: 16 wins in 29 games
Look for a repeatable punish opportunity
Got Punish Countered: profile 0.3 · reference 0.11
Use the stats as a scouting lead. Watch for an action you have already verified as punishable at that spacing; do not assume every apparent opening is unsafe.
Try thisTest one confirmed response when that action appears. If it stops appearing, return to your normal spacing instead of forcing the punish.
Supporting stats
- Got Punish Countered: profile 0.3 · reference 0.11
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 8, 2026 · AI: dots-studio/dots-3-note-preview:free