Latest game
DefeatRanked
LU
ALLUUpdated 6 days ago
CrossPlatform
JapanM100%
CrossPlatformJapanM100%ちゃきカエ
Let's Do This
MR 1,292#571,611Last 104–6-18Last 2010–100
Winrate
50%
70W · 70L · 140 stored
Ranked matches
140
selected mode
Wins
70
Ranked
Losses
70
Ranked
Peak MR
1,418
Luke
Ranked MR · Luke
136 local · 0 imported · 136 on chart · 171 battles stored
Replay not requested
LUALPlaystyle reference
Habits vs top 30 Luke
Benchmark refreshed Sep 6, 2026, 10:21 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
LULargest absolute differences first23 habits
| Habit | ちゃきカエ | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| Drive Arts | 56.6% | 16.7% | +39.9% | |
| Drive Rush (cancel) | 9.4% | 37.3% | -27.9% | |
| SA2 | 9.4% | 26.0% | -16.6% | |
| CA | 22.4% | 9.2% | +13.2% | |
| SA1 | 36.5% | 30.6% | +5.8% | |
| Drive Guard | 9.5% | 13.2% | -3.7% | |
| Corner pressure | 11.10 | 13.55 | -2.45 | |
| SA3 | 31.8% | 34.2% | -2.4% | |
| Drive Rush (parry) | 6.4% | 7.6% | -1.2% | |
| Drive Impact gauge | 2.2% | 1.4% | +0.8% | |
| Drive Parry | 1.10 | 1.80 | -0.70 | |
| Perfect Parry | 0.00 | 0.69 | -0.69 | |
| Got Punish Countered | 0.40 | 0.06 | +0.34 | |
| Got stunned | 0.30 | 0.06 | +0.24 | |
| Drive Reversal | 0.00 | 0.20 | -0.20 | |
| Throws | 2.60 | 2.43 | +0.17 | |
| Got thrown | 1.90 | 2.01 | -0.11 | |
| Drive Impact | 0.10 | 0.19 | -0.09 | |
| Punish Counters landed | 0.00 | 0.08 | -0.08 | |
| Throw parries | 0.30 | 0.22 | +0.08 | |
| Time cornered | 8.80 | 8.74 | +0.06 | |
| Throw techs | 0.40 | 0.37 | +0.03 | |
| Stuns landed | 0.10 | 0.07 | +0.03 |
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.
Luke · Latest 100
What to improve
Find the cause of punish events
Punish Counters landed: profile 0 · reference 0.08
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 0 · reference 0.08
- Got Punish Countered: profile 0.4 · reference 0.06
Make Drive Impact a deliberate choice
Drive Impact: profile 0.1 · 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 0.1 · reference 0.19
- Drive Impact gauge: profile 2.2% · reference 1.4%
Give each meter spend a purpose
Drive Arts: profile 56.6% · reference 16.7%
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
- Drive Arts: profile 56.6% · reference 16.7%
- SA3: profile 31.8% · reference 34.2%
- CA: profile 22.4% · reference 9.2%
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
Probe defense before committing
Perfect Parry: profile 0 · reference 0.69
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 thisTry 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
- Perfect Parry: profile 0 · reference 0.69
- Drive Reversal: profile 0 · reference 0.2
Test the Drive Impact tendency
Drive Impact: profile 0.1 · reference 0.19
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 thisRevisit 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 0.1 · reference 0.19
- Drive Impact gauge: profile 2.2% · reference 1.4%
Use matchup records as scouting leads
vs Zangief: 50 wins in 87 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 Zangief: 50 wins in 87 games
- vs Terry: 46 wins in 127 games
- vs Akuma: 80 wins in 180 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