Latest game
VictoryRanked
JU
JPJUUpdated 5 days ago
Steam
JapanM100%
SteamJapanM100%DR_Я4In
Goes It Alone
MR 1,246#590,548Last 105–5-1Last 2010–10+5
Winrate
49%
99W · 105L · 204 stored
Ranked matches
204
selected mode
Wins
99
Ranked
Losses
105
Ranked
Peak MR
1,355
Juri
Ranked MR · Juri
204 local · 0 imported · 204 on chart · 204 battles stored
Replay not requested
JUJPPlaystyle 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 | DR_Я4In | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA2 | 3.9% | 19.5% | -15.6% | |
| CA | 23.5% | 8.9% | +14.6% | |
| SA3 | 41.2% | 34.8% | +6.3% | |
| SA1 | 31.4% | 36.7% | -5.4% | |
| Drive Guard | 9.2% | 13.4% | -4.3% | |
| Drive Impact gauge | 5.3% | 2.0% | +3.3% | |
| Time cornered | 6.40 | 9.20 | -2.80 | |
| Drive Arts | 16.8% | 19.4% | -2.6% | |
| Drive Rush (parry) | 5.0% | 7.1% | -2.1% | |
| Corner pressure | 10.40 | 12.24 | -1.84 | |
| Drive Parry | 1.20 | 2.07 | -0.87 | |
| Drive Reversal | 1.00 | 0.20 | +0.80 | |
| Throws | 3.20 | 2.65 | +0.55 | |
| Perfect Parry | 0.10 | 0.64 | -0.54 | |
| Got Punish Countered | 0.40 | 0.09 | +0.31 | |
| Throw techs | 0.20 | 0.46 | -0.26 | |
| Throw parries | 0.10 | 0.26 | -0.16 | |
| Drive Impact | 0.40 | 0.27 | +0.13 | |
| Drive Rush (cancel) | 32.0% | 31.9% | +0.1% | |
| Stuns landed | 0.00 | 0.09 | -0.09 | |
| Punish Counters landed | 0.20 | 0.13 | +0.07 | |
| Got stunned | 0.10 | 0.04 | +0.06 | |
| Got thrown | 2.10 | 2.13 | -0.03 |
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 0.3 · 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 0.3 · reference 0.08
Review defensive decisions
Drive Reversal: profile 0.6 · reference 0.17
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 Reversal: profile 0.6 · reference 0.17
- Drive Parry: profile 0.6 · reference 2.01
Give each meter spend a purpose
SA2: profile 0% · reference 15.8%
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
- SA2: profile 0% · reference 15.8%
- SA3: profile 59.1% · reference 34.6%
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 Akuma: 21 wins in 61 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 Akuma: 21 wins in 61 games
- vs Alex: 7 wins in 21 games
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