Latest game
DefeatRanked
TE
ALTEUpdated 5 days ago
CrossPlatform
JapanClub · KINTYOVILLAGE2C100%
CrossPlatformJapanClub · KINTYOVILLAGE2C100%たけ氏＠
We All Love The Hungry Wolf!
MR 1,574#109,598Last 105–50Last 2010–100
Winrate
43%
42W · 56L · 98 stored
Ranked matches
98
selected mode
Wins
42
Ranked
Losses
56
Ranked
Peak MR
1,701
Terry
Ranked MR · Terry
98 local · 0 imported · 98 on chart · 98 battles stored
Replay not requested
TEALPlaystyle 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 | たけ氏＠ | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA2 | 10.3% | 24.5% | -14.3% | |
| SA3 | 42.3% | 32.8% | +9.5% | |
| SA1 | 39.7% | 33.6% | +6.1% | |
| Drive Rush (parry) | 12.5% | 8.2% | +4.3% | |
| Corner pressure | 9.00 | 12.45 | -3.45 | |
| Drive Rush (cancel) | 30.2% | 33.4% | -3.2% | |
| Drive Guard | 17.5% | 14.3% | +3.2% | |
| Time cornered | 12.70 | 9.65 | +3.05 | |
| Drive Arts | 14.0% | 16.3% | -2.3% | |
| CA | 7.7% | 9.0% | -1.3% | |
| Perfect Parry | 0.20 | 0.80 | -0.60 | |
| Drive Impact gauge | 2.2% | 1.6% | +0.5% | |
| Drive Parry | 1.50 | 1.89 | -0.39 | |
| Got thrown | 2.40 | 2.21 | +0.19 | |
| Drive Reversal | 0.00 | 0.17 | -0.17 | |
| Throw techs | 0.30 | 0.43 | -0.13 | |
| Throws | 2.60 | 2.49 | +0.11 | |
| Got Punish Countered | 0.20 | 0.09 | +0.11 | |
| Stuns landed | 0.00 | 0.07 | -0.07 | |
| Got stunned | 0.10 | 0.05 | +0.05 | |
| Throw parries | 0.30 | 0.26 | +0.04 | |
| Punish Counters landed | 0.10 | 0.12 | -0.02 | |
| Drive Impact | 0.20 | 0.21 | -0.01 |
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
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
- Punish Counters landed: profile 0.1 · reference 0.13
Trace how you lose or gain space
Time cornered: profile 12.7 · 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 12.7 · reference 9.55
- Corner pressure: profile 9 · reference 12.01
Compare decisions across wins and losses
Recent stored ranked sample: 39 wins in 92 games
Choose two wins and two losses from the recent stored sample. Find one decision that changes between them; the record alone cannot explain why results changed.
Try thisWrite down one specific decision to test in your next five games. Review whether you executed it and what happened, rather than judging the drill only by wins.
Supporting stats
- Recent stored ranked sample: 39 wins in 92 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-pro:free
How to beat this player
Look for a repeatable punish opportunity
Got Punish Countered: profile 0.2 · reference 0.09
Use the stats as a scouting lead. Watch for an action you have already verified as punishable at that spacing; do not assume every apparent opening is unsafe.
Try thisTest one confirmed response when that action appears. If it stops appearing, return to your normal spacing instead of forcing the punish.
Supporting stats
- Got Punish Countered: profile 0.2 · reference 0.09
- Punish Counters landed: profile 0.1 · reference 0.13
Test the close-range pattern
Throws: profile 2.6 · reference 2.48
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 2.6 · reference 2.48
- Got thrown: profile 2.4 · reference 2.18
Test the Drive Impact tendency
Drive Impact: profile 0.2 · reference 0.22
Observe whether Drive Impact repeats in a particular situation. Prepare a response you have verified in training, while respecting range, recovery and available gauge.
Try thisRevisit that situation with a less committal approach. If the Impact appears, use your practiced response; if it does not, resume your usual game plan.
Supporting stats
- Drive Impact: profile 0.2 · reference 0.22
- Drive Impact gauge: profile 2.2% · reference 1.6%
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 9, 2026 · AI: nex-agi/nex-n2.5-pro:free