Latest game
DefeatRanked
SA
ALSAUpdated 1 week ago
CrossPlatform
JapanM100%
CrossPlatformJapanM100%ULT_湯豆腐
Conqueror: Devoted Master
LP 21,429Last 101–9Last 206–14
Winrate
35%
35W · 66L · 101 stored
Ranked matches
101
selected mode
Wins
35
Ranked
Losses
66
Ranked
Peak LP
21,771
Sagat
Ranked LP · Sagat
League points over time for this character
Replay not requested
SAALPlaystyle reference
Habits vs top 30 Sagat
Benchmark refreshed Sep 13, 2026, 10:18 AM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
SALargest absolute differences first23 habits
| Habit | ULT_湯豆腐 | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| Drive Rush (cancel) | 1.5% | 34.0% | -32.5% | |
| CA | 36.1% | 9.1% | +27.0% | |
| SA2 | 5.6% | 26.4% | -20.8% | |
| Drive Arts | 31.3% | 16.0% | +15.3% | |
| Drive Impact gauge | 10.4% | 1.3% | +9.0% | |
| SA1 | 16.7% | 24.6% | -7.9% | |
| Corner pressure | 8.90 | 12.43 | -3.53 | |
| Drive Guard | 12.4% | 14.2% | -1.8% | |
| SA3 | 41.7% | 39.9% | +1.7% | |
| Drive Parry | 0.80 | 1.81 | -1.01 | |
| Perfect Parry | 0.00 | 0.74 | -0.74 | |
| Drive Impact | 0.60 | 0.18 | +0.42 | |
| Got Punish Countered | 0.50 | 0.09 | +0.41 | |
| Drive Rush (parry) | 8.9% | 8.4% | +0.4% | |
| Punish Counters landed | 0.50 | 0.11 | +0.39 | |
| Throws | 2.60 | 2.23 | +0.37 | |
| Time cornered | 8.60 | 8.88 | -0.28 | |
| Drive Reversal | 0.00 | 0.24 | -0.24 | |
| Throw techs | 0.30 | 0.46 | -0.16 | |
| Got thrown | 2.30 | 2.21 | +0.09 | |
| Stuns landed | 0.00 | 0.08 | -0.08 | |
| Got stunned | 0.00 | 0.05 | -0.05 | |
| Throw parries | 0.30 | 0.25 | +0.05 |
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.
Sagat · Latest 100
What to improve
Make Drive Impact a deliberate choice
Drive Impact: profile 0.6 · reference 0.18
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 0.6 · reference 0.18
- Drive Impact gauge: profile 10.4% · reference 1.3%
Find the cause of punish events
Got Punish Countered: profile 0.5 · 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 0.5 · reference 0.09
- Punish Counters landed: profile 0.5 · reference 0.1
Give each meter spend a purpose
Drive Arts: profile 31.3% · reference 16.5%
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 31.3% · reference 16.5%
- CA: profile 36.1% · reference 9.3%
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: 70 wins in 195 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: 70 wins in 195 games
- vs Luke: 54 wins in 105 games
- vs Alex: 24 wins in 58 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