Latest game
DefeatRanked
JA
JUJAUpdated 2 days ago
CrossPlatform
OtherC100%
CrossPlatformOtherC100%深谷のぽちお
Wearing a Chinese Dress
MR 1,547#144,060Last 104–6-13Last 2011–9+20
Winrate
54%
36W · 31L · 67 stored
Ranked matches
67
selected mode
Wins
36
Ranked
Losses
31
Ranked
Peak MR
1,558
Jamie
Ranked MR · Jamie
67 local · 0 imported · 67 on chart · 67 battles stored
Replay not requested
JAJUPlaystyle reference
Habits vs top 30 Jamie
Benchmark refreshed Sep 13, 2026, 4:16 AM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
JALargest absolute differences first23 habits
| Habit | 深谷のぽちお | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA3 | 69.2% | 39.7% | +29.5% | |
| SA2 | 0.0% | 21.4% | -21.4% | |
| SA1 | 21.5% | 29.0% | -7.5% | |
| Drive Rush (cancel) | 40.1% | 33.8% | +6.3% | |
| Corner pressure | 10.50 | 14.89 | -4.39 | |
| Time cornered | 5.70 | 8.56 | -2.86 | |
| Drive Guard | 9.1% | 11.0% | -1.9% | |
| Drive Arts | 24.5% | 23.2% | +1.2% | |
| CA | 9.2% | 9.8% | -0.6% | |
| Drive Parry | 1.20 | 1.78 | -0.58 | |
| Perfect Parry | 0.10 | 0.67 | -0.57 | |
| Throws | 2.90 | 2.40 | +0.50 | |
| Got thrown | 1.70 | 2.15 | -0.45 | |
| Drive Reversal | 0.00 | 0.26 | -0.26 | |
| Throw techs | 0.20 | 0.40 | -0.20 | |
| Punish Counters landed | 0.20 | 0.07 | +0.13 | |
| Stuns landed | 0.00 | 0.08 | -0.08 | |
| Got stunned | 0.00 | 0.06 | -0.06 | |
| Got Punish Countered | 0.10 | 0.06 | +0.04 | |
| Drive Impact gauge | 1.3% | 1.4% | -0.0% | |
| Drive Rush (parry) | 5.7% | 5.7% | -0.0% | |
| Drive Impact | 0.20 | 0.21 | -0.01 | |
| Throw parries | 0.20 | 0.20 | 0.00 |
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.
Jamie · Latest 100
What to improve
Review defensive decisions
Drive Parry: profile 0.8 · reference 1.7
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
- Drive Parry: profile 0.8 · reference 1.7
- Perfect Parry: profile 0.1 · reference 0.6
Review close-range choices
Throws: profile 3.9 · 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 3.9 · reference 2.38
- Throw techs: profile 0.3 · reference 0.42
- Got thrown: profile 1.6 · reference 1.97
Give each meter spend a purpose
SA2: profile 3.1% · reference 21.4%
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 3.1% · reference 21.4%
- SA3: profile 57.8% · reference 38.6%
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 Yasmine: 72 wins in 139 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 Yasmine: 72 wins in 139 games
- vs Alex: 63 wins in 113 games
- vs Ryu: 93 wins in 198 games
Separate a tendency from a one-off event
Recent stored ranked sample: 21 wins in 40 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: 21 wins in 40 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 6, 2026 · AI: dots-studio/dots-3-note-preview:free