Terry
Updated 10 hours agoCrossPlatformCrossPlatformJapanJapanC100%

El mal

S-Groove
Rank 34LP 22,980
Last 104–6Last 209–11
Winrate
42%
38W · 53L · 91 stored
Ranked matches
91
selected mode
Wins
38
Ranked
Losses
53
Ranked
Peak LP
23,047
Terry

Ranked LP · Terry

League points over time for this character

Latest game

VictoryRanked

Replay not requested
Terry
El mal · Terry
Alex
Opponent · Alexあさくじゃく

Playstyle reference

Habits vs top 30 Terry

Benchmark refreshed Sep 9, 2026, 7:23 PM

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

Terry
El mal’s Terry benchmark

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

kincho 2229 · なっつだよ 2210 · Yassa 2187 · ばやしこ|VLY 2181 · あ か た 2151 · +25 others

Largest absolute differences first23 habits
HabitEl malLegendsDifference LessLegendsMore
Drive Rush (cancel)3.3%33.4%-30.1%
SA36.8%32.8%-26.0%
SA250.0%24.5%+25.5%
Drive Rush (parry)21.4%8.2%+13.2%
Drive Guard26.4%14.3%+12.1%
Drive Arts10.2%16.3%-6.1%
Drive Impact gauge7.7%1.6%+6.0%
Time cornered5.009.65-4.65
SA136.4%33.6%+2.7%
CA6.8%9.0%-2.2%
Corner pressure10.4012.45-2.05
Throws3.402.49+0.91
Perfect Parry0.100.80-0.70
Drive Impact0.500.21+0.29
Punish Counters landed0.400.12+0.28
Throw techs0.200.43-0.23
Drive Reversal0.400.17+0.23
Stuns landed0.200.07+0.13
Got Punish Countered0.200.09+0.11
Got thrown2.302.21+0.09
Drive Parry1.801.89-0.09
Got stunned0.000.05-0.05
Throw parries0.300.26+0.04
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.

Terry · Latest 100

What to improve

  1. Find the cause of punish events

    Punish Counters landed: profile 0.4 · reference 0.12

    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 0.4 · reference 0.12
    • Got Punish Countered: profile 0.2 · reference 0.09
  2. Give each meter spend a purpose

    Drive Rush (cancel): profile 7.6% · reference 33.4%

    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
    • Drive Rush (cancel): profile 7.6% · reference 33.4%
    • Drive Rush (parry): profile 19.1% · reference 8.2%
  3. Trace how you lose or gain space

    Corner pressure: profile 8.9 · reference 12.45

    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 8.9 · reference 12.45
    • Time cornered: profile 5.9 · reference 9.65

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 8, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Test the Drive Impact tendency

    Drive Impact: profile 0.5 · 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 0.5 · reference 0.21
    • Drive Impact gauge: profile 6.1% · reference 1.6%
  2. Probe defense before committing

    Drive Parry: profile 2.6 · reference 1.89

    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 2.6 · reference 1.89
    • Perfect Parry: profile 0.1 · reference 0.8
    • Drive Reversal: profile 0.3 · reference 0.17
  3. Use matchup records as scouting leads

    vs Char 253: 43 wins in 91 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 Char 253: 43 wins in 91 games
    • vs Ryu: 8 wins in 14 games
    • vs Zangief: 5 wins in 12 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 8, 2026 · AI: dots-studio/dots-3-note-preview:free

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