Latest game
DefeatRanked
JU
BLJUUpdated 7 days ago
Steam
OtherM100%
SteamOtherM100%BUPPA MACHINE!!
Out-mash Their DP by One
MR 1,292#572,162Last 104–6-17Last 208–12-37
Winrate
51%
47W · 45L · 92 stored
Ranked matches
92
selected mode
Wins
47
Ranked
Losses
45
Ranked
Peak MR
1,329
Juri
Ranked MR · Juri
84 local · 0 imported · 84 on chart · 92 battles stored
Replay not requested
JUBLPlaystyle 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 | BUPPA MACHINE!! | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| Drive Rush (cancel) | 0.8% | 31.9% | -31.1% | |
| Drive Arts | 40.6% | 19.4% | +21.2% | |
| SA2 | 3.3% | 19.5% | -16.2% | |
| SA1 | 47.8% | 36.7% | +11.0% | |
| CA | 17.8% | 8.9% | +8.9% | |
| Drive Rush (parry) | 15.8% | 7.1% | +8.7% | |
| Drive Guard | 21.2% | 13.4% | +7.8% | |
| SA3 | 31.1% | 34.8% | -3.7% | |
| Time cornered | 7.00 | 9.20 | -2.20 | |
| Drive Impact gauge | 3.4% | 2.0% | +1.3% | |
| Corner pressure | 11.00 | 12.24 | -1.24 | |
| Drive Parry | 1.30 | 2.07 | -0.77 | |
| Got thrown | 1.50 | 2.13 | -0.63 | |
| Perfect Parry | 0.20 | 0.64 | -0.44 | |
| Drive Reversal | 0.00 | 0.20 | -0.20 | |
| Drive Impact | 0.40 | 0.27 | +0.13 | |
| Got Punish Countered | 0.20 | 0.09 | +0.11 | |
| Punish Counters landed | 0.20 | 0.13 | +0.07 | |
| Got stunned | 0.10 | 0.04 | +0.06 | |
| Throw techs | 0.40 | 0.46 | -0.06 | |
| Throws | 2.60 | 2.65 | -0.05 | |
| Throw parries | 0.30 | 0.26 | +0.04 | |
| Stuns landed | 0.10 | 0.09 | +0.01 |
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
Give each meter spend a purpose
Drive Rush (cancel): profile 0.7% · reference 31.2%
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 Rush (cancel): profile 0.7% · reference 31.2%
- Drive Rush (parry): profile 15.4% · reference 7.4%
- Drive Arts: profile 41.2% · reference 21.1%
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
Review defensive decisions
Perfect Parry: profile 0.2 · reference 0.64
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 0.2 · reference 0.64
- Drive Parry: profile 1.4 · reference 2.01
- 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 7, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Ken: 18 wins in 47 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 Ken: 18 wins in 47 games
- vs Luke: 27 wins in 46 games
- vs Zangief: 17 wins in 37 games
Separate a tendency from a one-off event
Recent stored ranked sample: 39 wins in 72 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: 39 wins in 72 games
Look for a repeatable punish opportunity
Got Punish Countered: profile 0.2 · reference 0.08
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 0.2 · reference 0.08
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