Sagat
Updated 17 hours agoSteamSteamJapanJapanClub · UNDERGROUNDSFM100%

1抜けは根性なし X@オダテル

Training is Everything
Rank 36MR 1,680#38,378
Last 105–50Last 2010–10+2
Winrate
48%
43W · 47L · 90 stored
Ranked matches
90
selected mode
Wins
43
Ranked
Losses
47
Ranked
Peak MR
1,792
Sagat

Ranked MR · Sagat

90 local · 0 imported · 90 on chart · 90 battles stored

Latest game

VictoryRanked

Replay not requested
Sagat
1抜けは根性なし X@オダテル · Sagat
Alex
Opponent · Alexカニーメイソン

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
1抜けは根性なし X@オダテル’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
Habit1抜けは根性なし X@オダテルLegendsDifference LessLegendsMore
SA146.0%24.6%+21.4%
SA323.0%39.9%-16.9%
Drive Arts31.3%16.0%+15.3%
Drive Rush (cancel)20.8%34.0%-13.2%
Time cornered12.508.88+3.62
Corner pressure9.0012.43-3.43
SA223.0%26.4%-3.4%
Drive Impact gauge2.8%1.3%+1.4%
Drive Rush (parry)7.3%8.4%-1.2%
CA8.0%9.1%-1.1%
Drive Guard13.1%14.2%-1.1%
Perfect Parry0.300.74-0.44
Got thrown1.902.21-0.31
Throw techs0.200.46-0.26
Got Punish Countered0.300.09+0.21
Throw parries0.100.25-0.15
Got stunned0.200.05+0.15
Throws2.102.23-0.13
Drive Impact0.300.18+0.12
Drive Parry1.901.81+0.09
Punish Counters landed0.200.11+0.09
Stuns landed0.000.08-0.08
Drive Reversal0.300.24+0.06
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

    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 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 0.2 · reference 0.08
    • Punish Counters landed: profile 0.1 · reference 0.09
  2. Review defensive decisions

    Drive Parry: profile 0.7 · reference 1.78

    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 0.7 · reference 1.78
    • Perfect Parry: profile 0.1 · reference 0.78
  3. Trace how you lose or gain space

    Time cornered: profile 9.7 · reference 9.28

    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
    • Time cornered: profile 9.7 · reference 9.28
    • Corner pressure: profile 11.3 · reference 12.38

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 5, 2026 · AI: nex-agi/nex-n2.5-pro:free

How to beat this player

  1. Look for a repeatable punish opportunity

    Got Punish Countered: profile 0.2 · reference 0.08

    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 this

    Test 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 0.08
    • Punish Counters landed: profile 0.1 · reference 0.09
  2. Test the close-range pattern

    Throws: profile 2.2 · reference 2.27

    Observe actual strike, throw and defensive choices at close range. Change one part of your familiar mix only after a tendency appears.

    Try this

    If the same response repeats twice, try a different option in that situation. If the player changes their response, return to varied choices instead of assuming the pattern is permanent.

    Supporting stats
    • Throws: profile 2.2 · reference 2.27
    • Got thrown: profile 2 · reference 2.12
    • Throw techs: profile 0.6 · reference 0.45
  3. Test the Drive Impact tendency

    Drive Impact: profile 0.2 · reference 0.17

    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 0.2 · reference 0.17
    • Drive Impact gauge: profile 2.3% · reference 1.3%

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 5, 2026 · AI: nex-agi/nex-n2.5-pro:free

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