Latest game
DefeatRanked
RA
KERAUpdated 1 week ago
CrossPlatform
JapanC100%
CrossPlatformJapanC100%Dora
Big Fan, Bad Performer
LP 14,408Last 104–6Last 207–13
Winrate
32%
12W · 26L · 38 stored
Ranked matches
38
selected mode
Wins
12
Ranked
Losses
26
Ranked
Peak LP
14,820
Rashid
Ranked LP · Rashid
League points over time for this character
Replay not requested
RAKEPlaystyle reference
Habits vs top 30 Rashid
Benchmark refreshed Sep 12, 2026, 7:15 AM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
RALargest absolute differences first23 habits
| Habit | Dora | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| Drive Rush (cancel) | 14.1% | 32.1% | -18.1% | |
| SA2 | 72.7% | 56.0% | +16.7% | |
| Drive Impact gauge | 17.1% | 2.0% | +15.1% | |
| SA3 | 3.4% | 16.6% | -13.2% | |
| Corner pressure | 7.90 | 15.02 | -7.12 | |
| Drive Guard | 6.8% | 13.0% | -6.2% | |
| Drive Arts | 25.3% | 20.1% | +5.3% | |
| Drive Rush (parry) | 3.9% | 7.4% | -3.6% | |
| CA | 2.3% | 4.7% | -2.4% | |
| SA1 | 21.6% | 22.7% | -1.1% | |
| Got thrown | 3.10 | 2.05 | +1.05 | |
| Drive Parry | 0.80 | 1.77 | -0.97 | |
| Drive Impact | 1.10 | 0.25 | +0.85 | |
| Throws | 3.40 | 2.64 | +0.76 | |
| Got Punish Countered | 0.80 | 0.11 | +0.69 | |
| Punish Counters landed | 0.70 | 0.13 | +0.57 | |
| Perfect Parry | 0.10 | 0.61 | -0.51 | |
| Time cornered | 9.10 | 9.52 | -0.42 | |
| Drive Reversal | 0.00 | 0.31 | -0.31 | |
| Throw techs | 0.60 | 0.37 | +0.23 | |
| Throw parries | 0.10 | 0.28 | -0.18 | |
| Stuns landed | 0.00 | 0.10 | -0.10 | |
| Got stunned | 0.10 | 0.08 | +0.02 |
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.
Rashid · Latest 100
What to improve
Make Drive Impact a deliberate choice
Drive Impact: profile 1.1 · reference 0.24
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 1.1 · reference 0.24
- Drive Impact gauge: profile 17.1% · reference 2.1%
Find the cause of punish events
Got Punish Countered: profile 0.8 · reference 0.11
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 0.8 · reference 0.11
Give each meter spend a purpose
SA3: profile 3.4% · reference 16.8%
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 3.4% · reference 16.8%
- SA2: profile 72.7% · reference 51%
- SA1: profile 21.6% · reference 27.1%
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 Juri: 7 wins in 10 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 Juri: 7 wins in 10 games
- vs Zangief: 6 wins in 11 games
- vs Char 253: 38 wins in 103 games
Separate a tendency from a one-off event
Recent stored ranked sample: 8 wins in 29 games
Scout several recent matches and compare wins with losses. Prepare around a repeated situation rather than one memorable mistake.
Try thisUse 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: 8 wins in 29 games
Test the Drive Impact tendency
Drive Impact: profile 1.1 · reference 0.24
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 1.1 · reference 0.24
- Drive Impact gauge: profile 17.1% · reference 2.1%
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