Latest game
VictoryCustom Room
YA
JU
DEUpdated 16 hours ago
Steam
JapanC97%
SteamJapanC97%あずまおう
GG
LP 22,791Last 104–6Last 209–11
Winrate
50%
67W · 67L · 134 stored
Ranked matches
134
selected mode
Wins
67
Ranked
Losses
67
Ranked
Peak LP
22,891
Dee Jay
Ranked LP · Dee Jay
League points over time for this character
Replay not requested
YAJUPlaystyle 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 | あずまおう | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| CA | 32.1% | 8.7% | +23.4% | |
| Drive Arts | 12.8% | 24.7% | -11.9% | |
| SA1 | 24.5% | 36.2% | -11.7% | |
| SA2 | 11.3% | 21.3% | -10.0% | |
| Drive Rush (cancel) | 32.1% | 23.0% | +9.2% | |
| Time cornered | 5.10 | 9.11 | -4.01 | |
| Drive Impact gauge | 3.6% | 1.8% | +1.8% | |
| SA3 | 32.1% | 33.8% | -1.7% | |
| Got thrown | 3.50 | 2.20 | +1.30 | |
| Drive Guard | 13.8% | 15.1% | -1.2% | |
| Drive Rush (parry) | 9.9% | 8.9% | +1.0% | |
| Drive Parry | 0.90 | 1.76 | -0.86 | |
| Perfect Parry | 0.20 | 0.57 | -0.37 | |
| Got Punish Countered | 0.30 | 0.09 | +0.21 | |
| Drive Reversal | 0.00 | 0.19 | -0.19 | |
| Throws | 2.20 | 2.38 | -0.18 | |
| Throw techs | 0.60 | 0.43 | +0.17 | |
| Throw parries | 0.10 | 0.25 | -0.15 | |
| Got stunned | 0.00 | 0.07 | -0.07 | |
| Punish Counters landed | 0.20 | 0.13 | +0.07 | |
| Drive Impact | 0.30 | 0.24 | +0.06 | |
| Corner pressure | 12.20 | 12.23 | -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.
Dee Jay · Latest 100
What to improve
Find the cause of punish events
Got Punish Countered: profile 0.3 · reference 0.09
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 0.3 · reference 0.09
Review defensive decisions
Got thrown: profile 3.6 · reference 2.2
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
- Got thrown: profile 3.6 · reference 2.2
- Throw techs: profile 0.7 · reference 0.43
Review close-range choices
Throws: profile 1.8 · reference 2.38
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 1.8 · reference 2.38
- Got thrown: profile 3.6 · reference 2.2
- Throw techs: profile 0.7 · reference 0.43
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: nex-agi/nex-n2.5-pro:free
How to beat this player
Probe defense before committing
Throw techs: profile 0.7 · reference 0.43
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
- Throw techs: profile 0.7 · reference 0.43
- Got thrown: profile 3.6 · reference 2.2
Test the close-range pattern
Throws: profile 1.8 · reference 2.38
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
- Throws: profile 1.8 · reference 2.38
- Got thrown: profile 3.6 · reference 2.2
Use matchup records as scouting leads
vs Akuma: 16 wins in 34 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 Akuma: 16 wins in 34 games
- vs Alex: 6 wins in 14 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 12, 2026 · AI: nex-agi/nex-n2.5-pro:free