Sagat
Updated 1 week agoSteamSteamJapanJapanC100%

shizu

I Don't Crack Under Pressure.
Rank 36MR 1,860#4,384
Last 107–3+29Last 2012–8+39
Winrate
58%
58W · 42L · 100 stored
Ranked matches
100
selected mode
Wins
58
Ranked
Losses
42
Ranked
Peak MR
1,860
Sagat

Ranked MR · Sagat

100 local · 0 imported · 100 on chart · 100 battles stored

Latest game

VictoryRanked

Replay not requested
Ryu
shizu · Ryu
Juri
Opponent · Jurika,ya

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
shizu’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
HabitshizuLegendsDifference LessLegendsMore
SA17.9%24.6%-16.7%
SA352.4%39.9%+12.5%
Drive Rush (cancel)27.2%34.0%-6.8%
CA14.3%9.1%+5.2%
Drive Guard18.5%14.2%+4.3%
Drive Arts12.6%16.0%-3.5%
Drive Rush (parry)11.8%8.4%+3.4%
Drive Impact gauge3.9%1.3%+2.5%
SA225.4%26.4%-1.0%
Time cornered8.508.88-0.38
Drive Impact0.500.18+0.32
Punish Counters landed0.400.11+0.29
Drive Parry1.601.81-0.21
Corner pressure12.6012.43+0.17
Got thrown2.102.21-0.11
Throw techs0.400.46-0.06
Throw parries0.300.25+0.05
Got stunned0.100.05+0.05
Perfect Parry0.700.74-0.04
Drive Reversal0.200.24-0.04
Throws2.202.23-0.03
Stuns landed0.100.08+0.02
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. Find the cause of punish events

    Punish Counters landed: profile 0 · 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 · reference 0.1
    • Got Punish Countered: profile 0.1 · reference 0.09
  2. Review defensive decisions

    Drive Reversal: profile 0.5 · reference 0.23

    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 Reversal: profile 0.5 · reference 0.23
    • Drive Parry: profile 1.9 · reference 1.58
  3. Give each meter spend a purpose

    SA2: profile 38.8% · reference 25.1%

    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
    • SA2: profile 38.8% · reference 25.1%
    • SA3: profile 28.4% · reference 41.5%
    • CA: profile 13.4% · reference 9.3%

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

  1. Test the Drive Impact tendency

    Drive Impact: profile 0.1 · reference 0.18

    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 0.1 · reference 0.18
    • Drive Impact gauge: profile 1.3% · reference 1.3%
  2. Probe defense before committing

    Drive Parry: profile 1.9 · reference 1.58

    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 this

    Try 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 Parry: profile 1.9 · reference 1.58
    • Perfect Parry: profile 0.5 · reference 0.68
    • Drive Reversal: profile 0.5 · reference 0.23
  3. Build pressure without overextending

    Corner pressure: profile 11 · reference 12.64

    Look for chances to gain space with familiar options. Once the opponent is cornered, observe how they actually try to leave before selecting an adjustment.

    Try this

    Test one pressure sequence you know well. If an escape repeats, rehearse an answer to that exact option; if they vary their defense, avoid committing to a single read.

    Supporting stats
    • Corner pressure: profile 11 · reference 12.64
    • Time cornered: profile 11.1 · reference 8.91

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

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