Latest game
DefeatRanked
LU
KEKEUpdated 7 hours ago
Steam
BrazilClub · JogabilidojoC100%
SteamBrazilClub · JogabilidojoC100%hizu_火
Let's Do This
LP 13,322Last 106–4Last 2015–5
Winrate
66%
47W · 24L · 71 stored
Ranked matches
71
selected mode
Wins
47
Ranked
Losses
24
Ranked
Peak LP
13,912
Ken
Ranked LP · Ken
League points over time for this character
Replay not requested
LUKEPlaystyle reference
Habits vs top 30 Ken
Benchmark refreshed Sep 11, 2026, 7:22 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
KELargest absolute differences first23 habits
| Habit | hizu_火 | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA3 | 64.3% | 35.8% | +28.5% | |
| Drive Impact gauge | 27.3% | 1.4% | +25.9% | |
| SA2 | 5.7% | 25.9% | -20.2% | |
| Drive Rush (cancel) | 18.4% | 38.2% | -19.8% | |
| SA1 | 17.1% | 27.3% | -10.1% | |
| Drive Guard | 6.5% | 12.7% | -6.3% | |
| Time cornered | 4.30 | 8.95 | -4.65 | |
| Corner pressure | 9.90 | 13.12 | -3.22 | |
| Drive Rush (parry) | 3.6% | 6.8% | -3.2% | |
| Drive Arts | 17.6% | 14.9% | +2.7% | |
| Drive Impact | 2.40 | 0.19 | +2.21 | |
| CA | 12.9% | 11.0% | +1.8% | |
| Punish Counters landed | 1.30 | 0.10 | +1.20 | |
| Drive Parry | 0.70 | 1.89 | -1.19 | |
| Got Punish Countered | 0.90 | 0.08 | +0.82 | |
| Perfect Parry | 0.10 | 0.84 | -0.74 | |
| Throws | 3.00 | 2.57 | +0.43 | |
| Got thrown | 2.60 | 2.26 | +0.34 | |
| Drive Reversal | 0.00 | 0.23 | -0.23 | |
| Stuns landed | 0.20 | 0.07 | +0.13 | |
| Throw parries | 0.10 | 0.21 | -0.11 | |
| Throw techs | 0.50 | 0.44 | +0.06 | |
| Got stunned | 0.00 | 0.05 | -0.05 |
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.
Ken · Latest 100
What to improve
Find the cause of punish events
Punish Counters landed: profile 1.3 · reference 0.1
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
- Punish Counters landed: profile 1.3 · reference 0.1
Make Drive Impact a deliberate choice
Drive Impact: profile 2.4 · reference 0.19
Review five Drive Impacts and record the situation and outcome. Keep effective uses; investigate repeated failures rather than aiming for the reference frequency.
Try thisRecord Drive Impact and an ordinary attack in separate dummy slots. Mix playback and practice recognizing the difference with a response available in your current gauge state.
Supporting stats
- Drive Impact: profile 2.4 · reference 0.19
- Drive Impact gauge: profile 27.3% · reference 1.4%
Give each meter spend a purpose
SA3: profile 64.3% · reference 35.8%
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 64.3% · reference 35.8%
- SA2: profile 5.7% · reference 25.9%
- SA1: profile 17.1% · reference 27.3%
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 15, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Ken: 25 wins in 47 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 Ken: 25 wins in 47 games
- vs Ryu: 15 wins in 25 games
- vs Akuma: 8 wins in 23 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 15, 2026 · AI: dots-studio/dots-3-note-preview:free