Latest game
VictoryRanked
JA
KE
SAUpdated 4 days ago
Steam
JapanClub · RoanapurC100%
SteamJapanClub · RoanapurC100%BlackCoffeeMan
Lonely At The Top
MR 1,661#40,942Last 108–2+47Last 2013–7+45
Winrate
56%
32W · 25L · 57 stored
Ranked matches
57
selected mode
Wins
32
Ranked
Losses
25
Ranked
Peak MR
1,664
Sagat
Ranked MR · Sagat
57 local · 0 imported · 57 on chart · 142 battles stored
Replay not requested
JAKEPlaystyle 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 | BlackCoffeeMan | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA3 | 47.4% | 39.9% | +7.4% | |
| Drive Rush (cancel) | 40.8% | 34.0% | +6.8% | |
| SA2 | 21.1% | 26.4% | -5.3% | |
| Drive Rush (parry) | 5.2% | 8.4% | -3.2% | |
| SA1 | 22.4% | 24.6% | -2.2% | |
| Corner pressure | 10.30 | 12.43 | -2.13 | |
| Drive Guard | 12.1% | 14.2% | -2.1% | |
| Got thrown | 3.00 | 2.21 | +0.79 | |
| Throw techs | 1.10 | 0.46 | +0.64 | |
| Time cornered | 8.30 | 8.88 | -0.58 | |
| Drive Impact gauge | 1.8% | 1.3% | +0.5% | |
| Throws | 1.80 | 2.23 | -0.43 | |
| Drive Parry | 2.20 | 1.81 | +0.39 | |
| Perfect Parry | 1.10 | 0.74 | +0.36 | |
| CA | 9.2% | 9.1% | +0.1% | |
| Drive Impact | 0.30 | 0.18 | +0.12 | |
| Got Punish Countered | 0.20 | 0.09 | +0.11 | |
| Punish Counters landed | 0.20 | 0.11 | +0.09 | |
| Got stunned | 0.00 | 0.05 | -0.05 | |
| Throw parries | 0.30 | 0.25 | +0.05 | |
| Drive Reversal | 0.20 | 0.24 | -0.04 | |
| Stuns landed | 0.10 | 0.08 | +0.02 | |
| Drive Arts | 16.0% | 16.0% | -0.0% |
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
Find the cause of punish events
Got Punish Countered: profile 0.2 · 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 0.2 · reference 0.09
Review close-range choices
Throw techs: profile 0.9 · reference 0.43
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
- Throw techs: profile 0.9 · reference 0.43
- Got thrown: profile 2.5 · reference 2.15
Trace how you lose or gain space
Corner pressure: profile 9.3 · reference 12.64
Review five trips into the corner. Identify the earlier decision that gave up space, not just the final escape attempt. Check successful corner pressure too.
Try thisRecreate one recurring position in training. Compare your usual response with a less committal alternative, then track whether you reach the corner less often over the next set.
Supporting stats
- Corner pressure: profile 9.3 · reference 12.64
- Time cornered: profile 8.3 · reference 8.91
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 7, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Yasmine: 43 wins in 85 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: 43 wins in 85 games
- vs Ingrid: 45 wins in 53 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 7, 2026 · AI: dots-studio/dots-3-note-preview:free