SF6Statsv0.20.20
Preparing fighter pageOpening fighter statsChecking saved stats first. New fighters take a little longer to prepare.

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 0.3 · 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 0.3 · reference 0.08
    • Punish Counters landed: profile 0.2 · reference 0.09

  2. Trace how you lose or gain space

    Corner pressure: profile 8.6 · reference 12.38

    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
    • Corner pressure: profile 8.6 · reference 12.38
    • Time cornered: profile 8.9 · reference 9.28

  3. Compare decisions across wins and losses

    Recent stored ranked sample: 25 wins in 50 games

    Choose two wins and two losses from the recent stored sample. Find one decision that changes between them; the record alone cannot explain why results changed.

    Try this

    Write down one specific decision to test in your next five games. Review whether you executed it and what happened, rather than judging the drill only by wins.

    Supporting stats
    • Recent stored ranked sample: 25 wins in 50 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 Sep 4, 2026 · AI: nex-agi/nex-n2.5-mini:free

How to beat this player

  1. Separate a tendency from a one-off event

    Recent stored ranked sample: 25 wins in 50 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: 25 wins in 50 games

  2. Use matchup records as scouting leads

    vs Akuma: 6 wins in 19 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 Akuma: 6 wins in 19 games
    • vs Char 253: 66 wins in 159 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 Sep 4, 2026 · AI: nex-agi/nex-n2.5-mini:free