Latest game
VictoryRanked
RA
YA
DEUpdated 2 days ago
CrossPlatform
JapanC100%
CrossPlatformJapanC100%Halo14
Whirlwind Striker
MR 1,466#409,621Last 107–3+31Last 2013–7+39
Winrate
50%
150W · 152L · 302 stored
Ranked matches
302
selected mode
Wins
150
Ranked
Losses
152
Ranked
Peak MR
1,543
Dee Jay
Ranked MR · Dee Jay
301 local · 0 imported · 301 on chart · 302 battles stored
Replay not requested
RAYAPlaystyle 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 | Halo14 | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA2 | 76.4% | 21.3% | +55.0% | |
| SA3 | 2.4% | 33.8% | -31.4% | |
| Drive Rush (cancel) | 45.7% | 23.0% | +22.7% | |
| Drive Arts | 6.8% | 24.7% | -17.9% | |
| SA1 | 21.3% | 36.2% | -14.9% | |
| CA | 0.0% | 8.7% | -8.7% | |
| Drive Rush (parry) | 6.5% | 8.9% | -2.4% | |
| Drive Guard | 12.9% | 15.1% | -2.2% | |
| Time cornered | 10.20 | 9.11 | +1.09 | |
| Throws | 3.40 | 2.38 | +1.02 | |
| Got thrown | 2.90 | 2.20 | +0.70 | |
| Drive Impact gauge | 2.3% | 1.8% | +0.5% | |
| Corner pressure | 11.80 | 12.23 | -0.43 | |
| Drive Parry | 2.10 | 1.76 | +0.34 | |
| Throw techs | 0.70 | 0.43 | +0.27 | |
| Throw parries | 0.50 | 0.25 | +0.25 | |
| Perfect Parry | 0.40 | 0.57 | -0.17 | |
| Drive Reversal | 0.30 | 0.19 | +0.11 | |
| Punish Counters landed | 0.20 | 0.13 | +0.07 | |
| Drive Impact | 0.30 | 0.24 | +0.06 | |
| Stuns landed | 0.10 | 0.07 | +0.03 | |
| Got stunned | 0.10 | 0.07 | +0.03 | |
| 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.
Rashid · Latest 100
What to improve
Make Drive Impact a deliberate choice
Drive Impact: profile 0.3 · reference 0.25
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 0.3 · reference 0.25
- Drive Impact gauge: profile 2.3% · reference 2%
Review defensive decisions
Perfect Parry: profile 0.4 · reference 0.61
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 0.4 · reference 0.61
- Drive Parry: profile 2.1 · reference 1.77
- Drive Reversal: profile 0.3 · reference 0.31
Give each meter spend a purpose
SA2: profile 76.4% · reference 56%
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
- SA2: profile 76.4% · reference 56%
- SA3: profile 2.4% · reference 16.6%
- CA: profile 0% · reference 4.7%
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 12, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Ryu: 20 wins in 48 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 Ryu: 20 wins in 48 games
- vs Akuma: 27 wins in 42 games
- vs Luke: 11 wins in 39 games
Separate a tendency from a one-off event
Recent stored ranked sample: 50 wins in 100 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: 50 wins in 100 games
Test the close-range pattern
Throw techs: profile 0.7 · reference 0.37
Observe actual strike, throw and defensive choices at close range. Change one part of your familiar mix only after a tendency appears.
Try thisIf the same response repeats twice, try a different option in that situation. If the player changes their response, return to varied choices instead of assuming the pattern is permanent.
Supporting stats
- Throw techs: profile 0.7 · reference 0.37
- Throws: profile 3.4 · reference 2.64
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 12, 2026 · AI: dots-studio/dots-3-note-preview:free