Latest game
DefeatRanked
JU
YAJUUpdated 7 days ago
Steam
JapanM100%
SteamJapanM100%kaaaaichan
Let's Do This
MR 1,504#227,229Last 105–50Last 209–11-12
Winrate
50%
37W · 37L · 74 stored
Ranked matches
74
selected mode
Wins
37
Ranked
Losses
37
Ranked
Peak MR
1,561
Juri
Ranked MR · Juri
74 local · 0 imported · 74 on chart · 83 battles stored
Replay not requested
JUYAPlaystyle reference
Habits vs top 30 Juri
Benchmark refreshed Sep 12, 2026, 1:26 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
JULargest absolute differences first23 habits
| Habit | kaaaaichan | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA3 | 64.3% | 34.8% | +29.5% | |
| SA2 | 0.0% | 19.5% | -19.5% | |
| Drive Arts | 8.6% | 19.4% | -10.8% | |
| SA1 | 26.8% | 36.7% | -10.0% | |
| Corner pressure | 7.80 | 12.24 | -4.44 | |
| Got thrown | 3.00 | 2.13 | +0.87 | |
| Drive Rush (cancel) | 31.4% | 31.9% | -0.4% | |
| Drive Guard | 13.0% | 13.4% | -0.4% | |
| Throws | 3.00 | 2.65 | +0.35 | |
| Throw techs | 0.80 | 0.46 | +0.34 | |
| Time cornered | 9.50 | 9.20 | +0.30 | |
| Drive Reversal | 0.50 | 0.20 | +0.30 | |
| Perfect Parry | 0.90 | 0.64 | +0.26 | |
| Drive Impact gauge | 2.3% | 2.0% | +0.2% | |
| Throw parries | 0.10 | 0.26 | -0.16 | |
| Drive Rush (parry) | 7.3% | 7.1% | +0.1% | |
| Got Punish Countered | 0.20 | 0.09 | +0.11 | |
| Stuns landed | 0.00 | 0.09 | -0.09 | |
| Drive Parry | 2.00 | 2.07 | -0.07 | |
| Punish Counters landed | 0.20 | 0.13 | +0.07 | |
| Drive Impact | 0.20 | 0.27 | -0.07 | |
| Got stunned | 0.10 | 0.04 | +0.06 | |
| CA | 8.9% | 8.9% | +0.0% |
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.
Juri · Latest 100
What to improve
Find the cause of punish events
Got Punish Countered: profile 0.2 · reference 0.08
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 0.2 · reference 0.08
- Punish Counters landed: profile 0.2 · reference 0.11
Trace how you lose or gain space
Corner pressure: profile 7.8 · reference 13.05
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 7.8 · reference 13.05
- Time cornered: profile 9.5 · reference 8.63
Give each meter spend a purpose
SA3: profile 64.3% · reference 33.5%
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
- SA3: profile 64.3% · reference 33.5%
- SA2: profile 0% · reference 20.4%
- Drive Arts: profile 8.6% · reference 20.3%
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 7, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Luke: 46 wins in 92 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: 46 wins in 92 games
- vs Alex: 31 wins in 75 games
- vs Ryu: 40 wins in 74 games
Separate a tendency from a one-off event
Recent stored ranked sample: 36 wins in 71 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: 36 wins in 71 games
Probe defense before committing
Drive Reversal: profile 0.5 · reference 0.22
Test one familiar pressure situation and observe the actual response. Use that observation to vary your next choice; do not infer a success rate from event counts.
Try thisTry your usual strike/throw decision in a situation you understand. Repeat only if the response is consistent; if they adapt, vary your timing or reset to neutral.
Supporting stats
- Drive Reversal: profile 0.5 · reference 0.22
- Throw techs: profile 0.8 · reference 0.43
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 7, 2026 · AI: dots-studio/dots-3-note-preview:free