Latest game
DefeatRanked
TE
LUTEUpdated 5 days ago
Steam
JapanC100%
SteamJapanC100%マッスル台パン
Goes It Alone
MR 1,259#589,105Last 104–6-20Last 207–13-55
Winrate
38%
40W · 66L · 106 stored
Ranked matches
106
selected mode
Wins
40
Ranked
Losses
66
Ranked
Peak MR
1,477
Terry
Ranked MR · Terry
85 local · 0 imported · 85 on chart · 106 battles stored
Replay not requested
TELUPlaystyle reference
Habits vs top 30 Terry
Benchmark refreshed Sep 9, 2026, 7:23 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
TELargest absolute differences first23 habits
| Habit | マッスル台パン | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| Drive Arts | 4.0% | 16.3% | -12.3% | |
| SA2 | 13.5% | 24.5% | -11.0% | |
| SA3 | 43.2% | 32.8% | +10.4% | |
| Drive Rush (cancel) | 39.9% | 33.4% | +6.5% | |
| Drive Guard | 19.9% | 14.3% | +5.5% | |
| Corner pressure | 8.80 | 12.45 | -3.65 | |
| CA | 10.8% | 9.0% | +1.8% | |
| Time cornered | 11.30 | 9.65 | +1.65 | |
| SA1 | 32.4% | 33.6% | -1.2% | |
| Drive Parry | 3.00 | 1.89 | +1.11 | |
| Throws | 1.40 | 2.49 | -1.09 | |
| Drive Rush (parry) | 9.2% | 8.2% | +1.0% | |
| Got thrown | 2.70 | 2.21 | +0.49 | |
| Drive Impact gauge | 1.2% | 1.6% | -0.5% | |
| Throw parries | 0.00 | 0.26 | -0.26 | |
| Throw techs | 0.30 | 0.43 | -0.13 | |
| Stuns landed | 0.00 | 0.07 | -0.07 | |
| Got stunned | 0.10 | 0.05 | +0.05 | |
| Drive Reversal | 0.20 | 0.17 | +0.03 | |
| Punish Counters landed | 0.10 | 0.12 | -0.02 | |
| Drive Impact | 0.20 | 0.21 | -0.01 | |
| Got Punish Countered | 0.10 | 0.09 | +0.01 | |
| Perfect Parry | 0.80 | 0.80 | +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.
Terry · Latest 100
What to improve
Trace how you lose or gain space
Time cornered: profile 11.3 · reference 9.55
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
- Time cornered: profile 11.3 · reference 9.55
- Corner pressure: profile 8.8 · reference 12.01
Review close-range choices
Got thrown: profile 2.7 · reference 2.18
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
- Got thrown: profile 2.7 · reference 2.18
- Throws: profile 1.4 · reference 2.48
Find the cause of punish events
Got Punish Countered: profile 0.1 · 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 0.1 · reference 0.09
- Punish Counters landed: profile 0.1 · reference 0.13
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 9, 2026 · AI: nex-agi/nex-n2.5-mini:free
How to beat this player
Separate a tendency from a one-off event
Recent stored ranked sample: 35 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: 35 wins in 100 games
Use matchup records as scouting leads
vs Akuma: 32 wins in 70 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: 32 wins in 70 games
- vs Terry: 13 wins in 32 games
- vs Mai: 12 wins in 29 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 9, 2026 · AI: nex-agi/nex-n2.5-mini:free