Latest game
VictoryRanked
C.
AL
JUUpdated 1 week ago
CrossPlatform
JapanC100%
CrossPlatformJapanC100%napo
How Positively Dreadful
Last 108–2+38Last 2011–9+15
Winrate
50%
58W · 58L · 116 stored
Ranked matches
116
selected mode
Wins
58
Ranked
Losses
58
Ranked
Peak MR
1,581
Juri
Ranked MR · Juri
102 local · 0 imported · 102 on chart · 116 battles stored
Replay not requested
C.ALPlaystyle reference
Habits vs top 30 Juri
Benchmark refreshed Sep 16, 2026, 10:29 AM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
JULargest absolute differences first23 habits
| Habit | napo | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA1 | 21.6% | 38.3% | -16.8% | |
| CA | 23.5% | 9.8% | +13.7% | |
| Drive Arts | 6.5% | 18.9% | -12.4% | |
| Drive Rush (cancel) | 43.3% | 32.9% | +10.4% | |
| SA3 | 39.2% | 34.9% | +4.3% | |
| Drive Guard | 16.6% | 13.4% | +3.3% | |
| Corner pressure | 9.60 | 12.56 | -2.96 | |
| Drive Rush (parry) | 8.5% | 7.0% | +1.5% | |
| Throws | 1.30 | 2.72 | -1.42 | |
| SA2 | 15.7% | 16.9% | -1.3% | |
| Time cornered | 9.80 | 8.68 | +1.12 | |
| Got thrown | 2.70 | 2.13 | +0.57 | |
| Drive Parry | 2.40 | 2.03 | +0.37 | |
| Drive Impact gauge | 1.6% | 2.0% | -0.3% | |
| Throw techs | 0.70 | 0.41 | +0.29 | |
| Throw parries | 0.00 | 0.28 | -0.28 | |
| Got Punish Countered | 0.20 | 0.10 | +0.10 | |
| Punish Counters landed | 0.20 | 0.12 | +0.08 | |
| Drive Impact | 0.20 | 0.26 | -0.06 | |
| Perfect Parry | 0.70 | 0.75 | -0.05 | |
| Got stunned | 0.10 | 0.06 | +0.04 | |
| Stuns landed | 0.10 | 0.09 | +0.01 | |
| Drive Reversal | 0.20 | 0.20 | -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
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 close-range choices
Throw techs: profile 0.8 · 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 0.8 · reference 0.4
- Got thrown: profile 2.8 · reference 2.07
Give each meter spend a purpose
SA1: profile 17.6% · reference 39.6%
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
- SA1: profile 17.6% · reference 39.6%
- SA3: profile 52.9% · reference 34.6%
- CA: profile 13.7% · reference 9.9%
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 6, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Ryu: 33 wins in 69 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: 33 wins in 69 games
- vs Luke: 30 wins in 61 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 6, 2026 · AI: dots-studio/dots-3-note-preview:free