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Saved match plans

Previously generated AI plans, with their original supporting stats and data dates. Expand a plan to read both perspectives.

Terry · Latest 100

What to improve

  1. Review defensive decisions

    Drive Reversal: profile 0 · 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 · reference 0.23
    • Perfect Parry: profile 0.4 · reference 0.73
    • Drive Parry: profile 1.2 · reference 1.84
  2. Give each meter spend a purpose

    CA: profile 18.5% · reference 8.7%

    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 18.5% · reference 8.7%
    • SA3: profile 24.7% · reference 29.9%
  3. Find the cause of punish events

    Punish Counters landed: profile 0.2 · reference 0.13

    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 0.2 · reference 0.13
    • 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 Sep 6, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Use matchup records as scouting leads

    vs Luke: 24 wins in 35 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 Luke: 24 wins in 35 games
    • vs Ryu: 15 wins in 28 games
    • vs Akuma: 14 wins in 23 games
  2. Separate a tendency from a one-off event

    Recent stored ranked sample: 17 wins in 35 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: 17 wins in 35 games
  3. Probe defense before committing

    Throw techs: profile 0.8 · reference 0.37

    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
    • Throw techs: profile 0.8 · reference 0.37
    • Drive Parry: profile 1.2 · reference 1.84
    • Perfect Parry: profile 0.4 · reference 0.73

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