Latest game
DefeatRanked
DE
KEDEUpdated 1 week ago
CrossPlatform
OtherC100%
CrossPlatformOtherC100%hyperbeam
Let's Do This
MR 1,777#12,659Last 104–6-17Last 2010–10-2
Winrate
53%
27W · 24L · 51 stored
Ranked matches
51
selected mode
Wins
27
Ranked
Losses
24
Ranked
Peak MR
1,798
Dee Jay
Ranked MR · Dee Jay
51 local · 0 imported · 51 on chart · 102 battles stored
Replay not requested
DEKEPlaystyle reference
Habits vs top 30 Dee Jay
Benchmark refreshed Sep 11, 2026, 10:15 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
DELargest absolute differences first23 habits
| Habit | hyperbeam | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA1 | 5.7% | 36.2% | -30.5% | |
| SA3 | 64.2% | 33.8% | +30.4% | |
| Drive Rush (cancel) | 10.8% | 23.0% | -12.1% | |
| Drive Arts | 33.9% | 24.7% | +9.3% | |
| Drive Rush (parry) | 11.7% | 8.9% | +2.8% | |
| CA | 11.3% | 8.7% | +2.6% | |
| SA2 | 18.9% | 21.3% | -2.5% | |
| Drive Impact gauge | 3.4% | 1.8% | +1.7% | |
| Drive Parry | 0.80 | 1.76 | -0.96 | |
| Throws | 3.20 | 2.38 | +0.82 | |
| Corner pressure | 12.90 | 12.23 | +0.67 | |
| Got thrown | 1.80 | 2.20 | -0.40 | |
| Perfect Parry | 0.20 | 0.57 | -0.37 | |
| Drive Guard | 15.4% | 15.1% | +0.4% | |
| Time cornered | 8.90 | 9.11 | -0.21 | |
| Drive Impact | 0.30 | 0.24 | +0.06 | |
| Throw parries | 0.20 | 0.25 | -0.05 | |
| Punish Counters landed | 0.10 | 0.13 | -0.03 | |
| Throw techs | 0.40 | 0.43 | -0.03 | |
| Stuns landed | 0.10 | 0.07 | +0.03 | |
| Got stunned | 0.10 | 0.07 | +0.03 | |
| Drive Reversal | 0.20 | 0.19 | +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.
Dee Jay · Latest 100
What to improve
Give each meter spend a purpose
SA3: profile 59.6% · reference 33.7%
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 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
- SA3: profile 59.6% · reference 33.7%
- CA: profile 17% · reference 9.2%
- SA1: profile 2.1% · reference 35.1%
Find the cause of punish events
Got Punish Countered: profile 0.1 · 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 thisRecreate 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 0.1 · reference 0.12
Review close-range choices
Throws: profile 3.1 · reference 2.49
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
- Throws: profile 3.1 · reference 2.49
- Got thrown: profile 1.8 · reference 2.12
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 Char 253: 291 wins in 579 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 Char 253: 291 wins in 579 games
- vs Ryu: 19 wins in 43 games
- vs Yasmine: 15 wins in 36 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