Updated 1 week agoCrossPlatformCrossPlatformJapanJapanClub · CAFFEIN2000mgC100%

Tizona

X-ISM
Winrate
0W · 0L · 0 stored
Ranked matches
0
selected mode
Wins
0
Ranked
Losses
0
Ranked
Peak MR

Ranked MR

0 local · 0 imported · 0 on chart · 68 battles stored

Not enough ranked MR points in this range yet.

Latest game

VictoryCasual

Replay not requested
Manon
Tizona · Manon
Marisa
Opponent · Marisaマスターダイヤ

Playstyle reference

Habits vs top 30 Manon

Benchmark refreshed Sep 7, 2026, 7:24 AM

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

Manon
Tizona’s Manon benchmark

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

Babaaaaa 2207 · あくたがわ 2200 · Siinon 2081 · ジェットドン@Twitch 2067 · RANDUMB 2066 · +25 others

Largest absolute differences first23 habits
HabitTizonaLegendsDifference LessLegendsMore
Drive Rush (cancel)7.2%43.0%-35.8%
SA211.4%32.1%-20.6%
Drive Impact gauge15.2%1.8%+13.4%
Drive Arts23.2%11.3%+11.8%
SA137.1%25.4%+11.7%
CA17.1%9.7%+7.5%
Drive Guard4.6%11.3%-6.7%
Drive Rush (parry)0.0%5.0%-5.0%
Corner pressure4.308.16-3.86
Time cornered6.208.72-2.52
SA334.3%32.9%+1.4%
Throws3.902.53+1.37
Got thrown1.302.28-0.98
Drive Reversal1.200.30+0.90
Drive Parry0.901.80-0.90
Drive Impact0.900.22+0.68
Throw techs0.000.56-0.56
Punish Counters landed0.600.14+0.46
Perfect Parry0.200.64-0.44
Got Punish Countered0.400.11+0.29
Stuns landed0.000.07-0.07
Got stunned0.000.06-0.06
Throw parries0.200.20+0.00
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.

Manon · Latest 100

What to improve

  1. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.9 · reference 0.21

    Review five Drive Impacts and record the situation and outcome. Keep effective uses; investigate repeated failures rather than aiming for the reference frequency.

    Try this

    Record 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 0.9 · reference 0.21
    • Drive Impact gauge: profile 15.2% · reference 1.7%
  2. Review defensive decisions

    Drive Reversal: profile 1.2 · reference 0.29

    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 1.2 · reference 0.29
    • Throw techs: profile 0 · reference 0.5
  3. Review close-range choices

    Throws: profile 3.9 · reference 2.47

    Look at five close-range exchanges. Separate throw opportunities, throw attempts and defensive choices; the aggregate counts cannot show which option was correct.

    Try this

    Replay one recurring situation in training with both a strike and a throw recorded. Practice your chosen responses, then check how often you make that choice deliberately in matches.

    Supporting stats
    • Throws: profile 3.9 · reference 2.47
    • Throw techs: profile 0 · reference 0.5
    • Got thrown: profile 1.3 · reference 2.19

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 7, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Look for a repeatable punish opportunity

    Punish Counters landed: profile 0.6 · reference 0.16

    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
    • Punish Counters landed: profile 0.6 · reference 0.16
    • Got Punish Countered: profile 0.4 · reference 0.1
  2. Test the Drive Impact tendency

    Drive Impact: profile 0.9 · reference 0.21

    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 0.9 · reference 0.21
    • Drive Impact gauge: profile 15.2% · reference 1.7%
  3. Probe defense before committing

    Drive Reversal: profile 1.2 · reference 0.29

    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 Reversal: profile 1.2 · reference 0.29
    • Throw techs: profile 0 · reference 0.5

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 7, 2026 · AI: dots-studio/dots-3-note-preview:free

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