Sagat
Updated 3 days agoSteamSteamJapanJapanClub · KINTYOVILLAGE2C100%

CoPyMD

Slowly but Surely
Rank 36MR 1,907#3,070
Last 106–4+23Last 2013–7+52
Winrate
55%
91W · 75L · 166 stored
Ranked matches
166
selected mode
Wins
91
Ranked
Losses
75
Ranked
Peak MR
1,907
Sagat

Ranked MR · Sagat

165 local · 0 imported · 165 on chart · 305 battles stored

Latest game

VictoryRanked

Replay not requested
Jamie
CoPyMD · Jamie
Jamie
Opponent · Jamie中華拳法やよい拳

Playstyle reference

Habits vs top 30 Sagat

Benchmark refreshed Sep 13, 2026, 10:18 AM

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

Sagat
CoPyMD’s Sagat benchmark

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

Hand Me Downs 2230 · BonchanRB 2209 · Kushina 2201 · hinao 2199 · Yanai 2142 · +25 others

Largest absolute differences first23 habits
HabitCoPyMDLegendsDifference LessLegendsMore
SA140.4%24.6%+15.8%
Drive Rush (cancel)45.7%34.0%+11.7%
SA331.3%39.9%-8.6%
Drive Arts8.8%16.0%-7.3%
SA222.2%26.4%-4.2%
Corner pressure8.3012.43-4.13
Drive Guard11.0%14.2%-3.2%
CA6.1%9.1%-3.0%
Drive Rush (parry)5.7%8.4%-2.7%
Time cornered10.708.88+1.82
Throws1.402.23-0.83
Drive Impact gauge0.9%1.3%-0.5%
Got thrown2.402.21+0.19
Throw techs0.300.46-0.16
Throw parries0.100.25-0.15
Perfect Parry0.600.74-0.14
Drive Parry1.701.81-0.11
Stuns landed0.000.08-0.08
Drive Impact0.100.18-0.08
Drive Reversal0.300.24+0.06
Got stunned0.100.05+0.05
Punish Counters landed0.100.11-0.01
Got Punish Countered0.100.09+0.01
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.

Sagat · Latest 100

What to improve

  1. Give each meter spend a purpose

    CA: profile 20.5% · reference 9.3%

    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 this

    Practice 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
    • CA: profile 20.5% · reference 9.3%
    • Drive Arts: profile 9.1% · reference 16.5%
    • SA2: profile 14.1% · reference 25.1%
  2. Find the cause of punish events

    Punish Counters landed: profile 0.1 · reference 0.1

    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
    • Punish Counters landed: profile 0.1 · reference 0.1
    • Got Punish Countered: profile 0.1 · reference 0.09

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 Aug 30, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Use matchup records as scouting leads

    vs Char 253: 419 wins in 800 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 Char 253: 419 wins in 800 games
    • vs Luke: 30 wins in 54 games
    • vs Yasmine: 31 wins in 52 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 Aug 30, 2026 · AI: dots-studio/dots-3-note-preview:free

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