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JUval_

Ranked MR · Juri
116 local · 105 imported · 158 on chart · 118 battles stored
Playstyle reference
Habits vs top — Juri
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Saved match plans
Previously generated AI plans, with their original supporting stats and data dates. Expand a plan to read both perspectives.
Elena · Latest 100
What to improve
Find the cause of punish events
Got Punish Countered: profile 0.3 · reference 0.07
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 0.07
- Punish Counters landed: profile 0.1 · reference 0.08
Give each meter spend a purpose
SA3: profile 46.5% · reference 32.8%
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
- SA3: profile 46.5% · reference 32.8%
- SA1: profile 22.5% · reference 31.4%
- CA: profile 2.8% · reference 9.5%
Trace how you lose or gain space
Corner pressure: profile 12.4 · reference 13.06
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 12.4 · reference 13.06
- Time cornered: profile 5.3 · reference 9.26
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 15, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Luke: 19 wins in 37 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: 19 wins in 37 games
- vs Ryu: 17 wins in 39 games
- vs Alex: 13 wins in 34 games
Separate a tendency from a one-off event
Recent stored ranked sample: 48 wins in 98 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: 48 wins in 98 games
Probe defense before committing
Drive Reversal: profile 0.1 · 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 0.1 · reference 0.22
- Perfect Parry: profile 0.4 · reference 0.8
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 15, 2026 · AI: dots-studio/dots-3-note-preview:free
Yasmine · Latest 100
What to improve
Make Drive Impact a deliberate choice
Drive Impact: profile 0.1 · reference 0.19
Review five Drive Impacts and record the situation and outcome. Keep effective uses; investigate repeated failures rather than aiming for the reference frequency.
Try thisRecord Drive Impact and an ordinary attack in separate dummy slots. Mix playback and practice recognizing the difference with a response available in your current gauge state.
Supporting stats
- Drive Impact: profile 0.1 · reference 0.19
- Drive Impact gauge: profile 0.9% · reference 1.4%
Give each meter spend a purpose
SA2: profile 54.5% · reference 21%
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 54.5% · reference 21%
- SA3: profile 15.2% · reference 36.9%
Review defensive decisions
Drive Reversal: profile 0 · reference 0.24
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 · reference 0.24
- Drive Parry: profile 1.8 · reference 1.96
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 Char 253: 363 wins in 725 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 Char 253: 363 wins in 725 games
Look for a repeatable punish opportunity
Got Punish Countered: profile 0.2 · reference 0.06
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 0.06
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
Public data
Public statistics and datasets
Results from 118 of 118 stored matches. Explore the datasets for the full saved history.
Results in stored match sample
1 row- Wins
- 54games
- Losses
- 64games
- Draws
- 0games
- Games
- 118games
- Win rate (draw = half win)
- 45.76%
Field definitions 5 fields
- Wins
- Wins · games.
wins - Losses
- Losses · games.
losses - Draws
- Draws · games.
draws - Games
- Games · games.
total - Win rate (draw = half win)
- Win rate (draw = half win) · percent.
winRateDisplayed to two decimal places; JSON retains full precision.
Current saved character ratings
31 rowsScroll if needed to compare columns. Expand Details for the remaining fields.
| Character | MRMR points | LPLP points | Details |
|---|---|---|---|
| Ryu | 0 | 19,178 | Details for Current saved character ratings, row 1
|
| Luke | 0 | -1 | Details for Current saved character ratings, row 2
|
| Kimberly | 0 | -1 | Details for Current saved character ratings, row 3
|
| Chun-Li | 0 | -1 | Details for Current saved character ratings, row 4
|
| Manon | 0 | -1 | Details for Current saved character ratings, row 5
|
| Zangief | 0 | -1 | Details for Current saved character ratings, row 6
|
| JP | 0 | -1 | Details for Current saved character ratings, row 7
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| Dhalsim | 0 | -1 | Details for Current saved character ratings, row 8
|
| Cammy | 0 | -1 | Details for Current saved character ratings, row 9
|
| Ken | 0 | -1 | Details for Current saved character ratings, row 10
|
| Dee Jay | 0 | -1 | Details for Current saved character ratings, row 11
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| Lily | 0 | -1 | Details for Current saved character ratings, row 12
|
| A.K.I. | 0 | -1 | Details for Current saved character ratings, row 13
|
| Rashid | 0 | -1 | Details for Current saved character ratings, row 14
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| Blanka | 0 | -1 | Details for Current saved character ratings, row 15
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| Juri | 1,558 | 421,702 | Details for Current saved character ratings, row 16
|
| Marisa | 0 | -1 | Details for Current saved character ratings, row 17
|
| Guile | 0 | -1 | Details for Current saved character ratings, row 18
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| Ed | 1,470 | 26,263 | Details for Current saved character ratings, row 19
|
| E. Honda | 0 | -1 | Details for Current saved character ratings, row 20
|
| Jamie | 0 | -1 | Details for Current saved character ratings, row 21
|
| Akuma | 0 | -1 | Details for Current saved character ratings, row 22
|
| Sagat | 0 | -1 | Details for Current saved character ratings, row 23
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| M. Bison | 0 | -1 | Details for Current saved character ratings, row 24
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| Terry | 0 | -1 | Details for Current saved character ratings, row 25
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| Mai | 0 | -1 | Details for Current saved character ratings, row 26
|
| Elena | 1,503 | 60,422 | Details for Current saved character ratings, row 27
|
| Alex | 0 | -1 | Details for Current saved character ratings, row 28
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| Ingrid | 0 | -1 | Details for Current saved character ratings, row 29
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| Yasmine | 1,420 | 58,451 | Details for Current saved character ratings, row 30
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| Random | 0 | -1 | Details for Current saved character ratings, row 31
|
Field definitions 4 fields
- Character ID
- Character ID · identifier.
characterId - Character
- Character · text.
character - MR
- Master Rating · MR points.
mr - LP
- League Points · LP points.
lp
Last saved update: .
Latest saved profile; local results cover at most the newest 10,000 stored matches across all modes.

