Latest game
VictoryRanked
JU
KEJUUpdated 22 hours ago
CrossPlatform
JapanC100%
CrossPlatformJapanC100%メロンデスティニー
Thou Hast Witnessed the Power
MR 1,536#160,326Last 108–2+49Last 2014–6+70
Winrate
52%
39W · 36L · 75 stored
Ranked matches
75
selected mode
Wins
39
Ranked
Losses
36
Ranked
Peak MR
1,536
Juri
Ranked MR · Juri
70 local · 68 imported · 107 on chart · 147 battles stored
Replay not requested
JUKEPlaystyle 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 | メロンデスティニー | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA3 | 56.4% | 34.8% | +21.6% | |
| SA2 | 1.3% | 19.5% | -18.2% | |
| SA1 | 24.4% | 36.7% | -12.4% | |
| Drive Rush (cancel) | 21.4% | 31.9% | -10.5% | |
| CA | 17.9% | 8.9% | +9.0% | |
| Drive Guard | 19.0% | 13.4% | +5.5% | |
| Drive Rush (parry) | 10.7% | 7.1% | +3.6% | |
| Corner pressure | 9.80 | 12.24 | -2.44 | |
| Drive Arts | 18.3% | 19.4% | -1.2% | |
| Drive Impact gauge | 3.0% | 2.0% | +1.0% | |
| Got thrown | 2.80 | 2.13 | +0.67 | |
| Drive Parry | 2.70 | 2.07 | +0.63 | |
| Throws | 2.20 | 2.65 | -0.45 | |
| Throw techs | 0.90 | 0.46 | +0.44 | |
| Perfect Parry | 0.30 | 0.64 | -0.34 | |
| Throw parries | 0.10 | 0.26 | -0.16 | |
| Drive Impact | 0.40 | 0.27 | +0.13 | |
| Punish Counters landed | 0.20 | 0.13 | +0.07 | |
| Got stunned | 0.00 | 0.04 | -0.04 | |
| Stuns landed | 0.10 | 0.09 | +0.01 | |
| Got Punish Countered | 0.10 | 0.09 | +0.01 | |
| Drive Reversal | 0.20 | 0.20 | 0.00 | |
| Time cornered | 9.20 | 9.20 | 0.00 |
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
Punish Counters landed: profile 0.2 · 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
- Punish Counters landed: profile 0.2 · reference 0.11
- Got Punish Countered: profile 0.1 · reference 0.08
Review close-range choices
Throw techs: profile 0.7 · reference 0.4
Look at five close-range exchanges. Separate throw opportunities, throw attempts and defensive choices; the aggregate counts cannot show which option was correct.
Try thisReplay one recurring situation in training with both a strike and a throw recorded. Practice your chosen responses, then check how often you make that choice deliberately in matches.
Supporting stats
- Throw techs: profile 0.7 · reference 0.4
- Throws: profile 2.3 · reference 2.58
- Got thrown: profile 3 · reference 2.07
Review defensive decisions
Drive Parry: profile 3.2 · reference 2.01
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
- Drive Parry: profile 3.2 · reference 2.01
- Perfect Parry: profile 0.6 · reference 0.64
- Drive Reversal: profile 0 · reference 0.17
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 Ryu: 51 wins in 102 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 Ryu: 51 wins in 102 games
- vs Yasmine: 48 wins in 99 games
- vs Akuma: 53 wins in 97 games
Separate a tendency from a one-off event
Recent stored ranked sample: 18 wins in 43 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: 18 wins in 43 games
Test the Drive Impact tendency
Drive Impact: profile 0.3 · reference 0.24
Observe whether Drive Impact repeats in a particular situation. Prepare a response you have verified in training, while respecting range, recovery and available gauge.
Try thisRevisit that situation with a less committal approach. If the Impact appears, use your practiced response; if it does not, resume your usual game plan.
Supporting stats
- Drive Impact: profile 0.3 · reference 0.24
- Drive Impact gauge: profile 3.1% · reference 1.8%
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