Terry
Updated 1 day agoSteamSteamSouth KoreaSouth KoreaC100%

짱고짱고짱

GG
Rank 36MR 1,550#139,989
Last 108–2+49Last 2014–6+67
Winrate
49%
140W · 145L · 285 stored
Ranked matches
285
selected mode
Wins
140
Ranked
Losses
145
Ranked
Peak MR
1,594
Terry

Ranked MR · Terry

283 local · 0 imported · 283 on chart · 285 battles stored

Latest game

VictoryRanked

Replay not requested
Terry
짱고짱고짱 · Terry
Ryu
Opponent · RyuZeke

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
짱고짱고짱’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
Habit짱고짱고짱LegendsDifference LessLegendsMore
Drive Rush (cancel)45.9%33.4%+12.5%
SA218.1%24.5%-6.5%
Drive Arts10.1%16.3%-6.2%
Drive Guard10.5%14.3%-3.8%
Drive Rush (parry)4.9%8.2%-3.4%
SA336.1%32.8%+3.3%
Corner pressure9.2012.45-3.25
CA10.8%9.0%+1.8%
Drive Impact gauge3.3%1.6%+1.7%
SA134.9%33.6%+1.3%
Time cornered8.609.65-1.05
Throws1.702.49-0.79
Perfect Parry0.200.80-0.60
Drive Parry1.501.89-0.39
Throw techs0.200.43-0.23
Got Punish Countered0.300.09+0.21
Got thrown2.402.21+0.19
Drive Impact0.300.21+0.09
Punish Counters landed0.200.12+0.08
Throw parries0.200.26-0.06
Got stunned0.100.05+0.05
Drive Reversal0.200.17+0.03
Stuns landed0.100.07+0.03
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

    Got Punish Countered: profile 0.3 · reference 0.09

    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 0.09
    • Punish Counters landed: profile 0.2 · reference 0.12
  2. Trace how you lose or gain space

    Corner pressure: profile 9.2 · 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 9.2 · reference 12.45
    • Time cornered: profile 8.6 · 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 12, 2026 · AI: nex-agi/nex-n2.5-mini:free

How to beat this player

  1. Use matchup records as scouting leads

    vs Char 253: 552 wins in 1,107 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: 552 wins in 1,107 games
    • vs Alex: 44 wins in 98 games
    • vs Ryu: 48 wins in 94 games
  2. Separate a tendency from a one-off event

    Recent stored ranked sample: 51 wins in 100 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: 51 wins in 100 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 12, 2026 · AI: nex-agi/nex-n2.5-mini:free

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