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DefeatCasual
TE
AKTEUpdated 9 hours ago
CrossPlatform
JapanClub · MASAOchildrenC96%
CrossPlatformJapanClub · MASAOchildrenC96%はーしぇる
Let's Do This
MR 1,600#98,064Last 106–4+13Last 2014–6+63
Winrate
53%
114W · 102L · 216 stored
Ranked matches
216
selected mode
Wins
114
Ranked
Losses
102
Ranked
Peak MR
1,630
Terry
Ranked MR · Terry
211 local · 0 imported · 211 on chart · 334 battles stored
Replay not requested
TEAKPlaystyle 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
TELargest absolute differences first23 habits
| Habit | はーしぇる | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA1 | 51.1% | 33.6% | +17.4% | |
| SA2 | 10.9% | 24.5% | -13.7% | |
| SA3 | 21.7% | 32.8% | -11.1% | |
| CA | 16.3% | 9.0% | +7.3% | |
| Drive Rush (cancel) | 38.6% | 33.4% | +5.1% | |
| Corner pressure | 8.70 | 12.45 | -3.75 | |
| Drive Arts | 14.0% | 16.3% | -2.3% | |
| Drive Guard | 13.3% | 14.3% | -1.0% | |
| Drive Rush (parry) | 7.4% | 8.2% | -0.9% | |
| Drive Impact gauge | 2.2% | 1.6% | +0.5% | |
| Perfect Parry | 0.30 | 0.80 | -0.50 | |
| Throws | 2.90 | 2.49 | +0.41 | |
| Throw parries | 0.60 | 0.26 | +0.34 | |
| Throw techs | 0.10 | 0.43 | -0.33 | |
| Drive Parry | 1.60 | 1.89 | -0.29 | |
| Time cornered | 9.90 | 9.65 | +0.25 | |
| Got thrown | 2.00 | 2.21 | -0.21 | |
| Drive Reversal | 0.00 | 0.17 | -0.17 | |
| Got stunned | 0.00 | 0.05 | -0.05 | |
| Stuns landed | 0.10 | 0.07 | +0.03 | |
| Punish Counters landed | 0.10 | 0.12 | -0.02 | |
| Drive Impact | 0.20 | 0.21 | -0.01 | |
| Got Punish Countered | 0.10 | 0.09 | +0.01 |
FROM STATS TO PRACTICE
Latest 100Match plan
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
Give each meter spend a purpose
SA1: profile 73.3% · reference 34.2%
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 thisPractice 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
- SA1: profile 73.3% · reference 34.2%
- SA2: profile 5.7% · reference 27.2%
- CA: profile 2.9% · reference 8.7%
Review close-range choices
Throw techs: profile 0.1 · reference 0.37
Look at five close-range exchanges. Separate throw opportunities, throw attempts and defensive choices; the aggregate counts cannot show which option was correct.
Try thisReplay 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
- Throw techs: profile 0.1 · reference 0.37
- Got thrown: profile 2.2 · reference 2.18
Review defensive decisions
Perfect Parry: profile 0.2 · reference 0.73
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 thisRecord 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
- Perfect Parry: profile 0.2 · reference 0.73
- Drive Reversal: profile 0.1 · reference 0.23
- Drive Parry: profile 2.1 · reference 1.84
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
Use matchup records as scouting leads
vs Alex: 63 wins in 143 games
A lower win rate suggests footage to examine, not a guaranteed counterpick. Check whether the same difficult situation appears in multiple matches.
Try thisIf 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 Alex: 63 wins in 143 games
- vs Luke: 34 wins in 69 games
- vs Terry: 28 wins in 67 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 6, 2026 · AI: dots-studio/dots-3-note-preview:free