Ryu
Updated 1 day agoSteamSteamJapanJapanM100%

新温泉町浜坂

You've Got This, Juri!
Rank 36MR 1,501#251,865
Last 106–4+12Last 2010–10+1
Winrate
48%
10W · 11L · 21 stored
Ranked matches
21
selected mode
Wins
10
Ranked
Losses
11
Ranked
Peak MR
1,516
Ryu

Ranked MR · Ryu

21 local · 6 imported · 27 on chart · 128 battles stored

Latest game

VictoryCasual

Replay not requested
Ryu
新温泉町浜坂 · Ryu
Dee Jay
Opponent · Dee Jay56sk

Playstyle reference

Habits vs top 30 Ryu

Benchmark refreshed Sep 6, 2026, 7:23 PM

Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details

Ryu
新温泉町浜坂’s Ryu benchmark

Compared with the average habits of the top 30 sampled Ryu players.

Shuto 2279 · Sahara 2204 · hinao 2167 · Tigger 2164 · sdfsdf 2136 · +25 others

Largest absolute differences first23 habits
Habit新温泉町浜坂LegendsDifference LessLegendsMore
SA158.4%34.9%+23.6%
SA22.6%20.3%-17.7%
Drive Impact gauge8.1%1.1%+7.0%
SA329.9%35.4%-5.6%
Corner pressure7.4010.94-3.54
Drive Rush (cancel)33.3%36.4%-3.1%
Drive Arts16.4%18.9%-2.4%
Time cornered10.608.58+2.02
Drive Guard13.4%11.9%+1.5%
Drive Rush (parry)7.4%6.4%+1.0%
Drive Parry2.501.69+0.81
Drive Impact0.700.16+0.54
Punish Counters landed0.600.08+0.52
Throws2.702.20+0.50
Got Punish Countered0.400.07+0.33
CA9.1%9.4%-0.3%
Throw techs0.200.44-0.24
Perfect Parry0.500.71-0.21
Throw parries0.300.21+0.09
Got stunned0.100.05+0.05
Drive Reversal0.100.15-0.05
Stuns landed0.100.05+0.05
Got thrown2.102.06+0.04
FROM STATS TO PRACTICE

Match plan

Latest 100

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.

Ryu · Latest 100

What to improve

  1. 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 this

    Recreate 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 0.5 · reference 0.08
  2. Trace how you lose or gain space

    Corner pressure: profile 6.2 · reference 10.94

    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 this

    Recreate 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 6.2 · reference 10.94
    • Time cornered: profile 11.4 · reference 8.58
  3. Review defensive decisions

    Drive Parry: profile 2.9 · reference 1.69

    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 this

    Record 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 2.9 · reference 1.69
    • Perfect Parry: profile 0.6 · reference 0.71
    • Drive Reversal: profile 0.2 · reference 0.15

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

  1. Use matchup records as scouting leads

    vs Sagat: 17 wins in 32 games

    A lower win rate suggests footage to examine, not a guaranteed counterpick. Check whether the same difficult situation appears in multiple matches.

    Try this

    If 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 Sagat: 17 wins in 32 games
    • vs Ryu: 45 wins in 93 games
  2. Separate a tendency from a one-off event

    Recent stored ranked sample: 10 wins in 21 games

    Scout several recent matches and compare wins with losses. Prepare around a repeated situation rather than one memorable mistake.

    Try this

    Use 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: 10 wins in 21 games
  3. Test the Drive Impact tendency

    Drive Impact: profile 0.7 · reference 0.16

    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 this

    Revisit 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 0.7 · reference 0.16
    • Drive Impact gauge: profile 7.2% · reference 1.1%

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

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