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VictoryRanked
RA
ALRAUpdated 10 hours ago
Steam
JapanClub · IKOMAclubC100%
SteamJapanClub · IKOMAclubC100%Hino
GIVES YOU WINGS.
MR 1,752#17,138Last 106–4+15Last 2012–8+33
Winrate
61%
51W · 32L · 83 stored
Ranked matches
83
selected mode
Wins
51
Ranked
Losses
32
Ranked
Peak MR
1,754
Rashid
Ranked MR · Rashid
83 local · 0 imported · 83 on chart · 83 battles stored
Replay not requested
RAALPlaystyle reference
Habits vs top 30 Rashid
Benchmark refreshed Sep 12, 2026, 7:15 AM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
RALargest absolute differences first23 habits
| Habit | Hino | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA2 | 72.2% | 56.0% | +16.2% | |
| SA1 | 11.9% | 22.7% | -10.8% | |
| Drive Rush (cancel) | 26.1% | 32.1% | -6.0% | |
| SA3 | 11.1% | 16.6% | -5.5% | |
| Drive Arts | 23.8% | 20.1% | +3.7% | |
| Corner pressure | 17.70 | 15.02 | +2.68 | |
| Drive Rush (parry) | 8.8% | 7.4% | +1.3% | |
| Drive Parry | 1.00 | 1.77 | -0.77 | |
| Drive Guard | 12.4% | 13.0% | -0.7% | |
| Got thrown | 2.60 | 2.05 | +0.55 | |
| Throws | 2.10 | 2.64 | -0.54 | |
| Perfect Parry | 0.20 | 0.61 | -0.41 | |
| CA | 4.8% | 4.7% | +0.1% | |
| Stuns landed | 0.20 | 0.10 | +0.10 | |
| Throw parries | 0.20 | 0.28 | -0.08 | |
| Throw techs | 0.30 | 0.37 | -0.07 | |
| Drive Impact | 0.20 | 0.25 | -0.05 | |
| Drive Impact gauge | 2.0% | 2.0% | +0.0% | |
| Punish Counters landed | 0.10 | 0.13 | -0.03 | |
| Time cornered | 9.50 | 9.52 | -0.02 | |
| Got stunned | 0.10 | 0.08 | +0.02 | |
| Drive Reversal | 0.30 | 0.31 | -0.01 | |
| Got Punish Countered | 0.10 | 0.11 | -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.
Rashid · Latest 100
What to improve
Review defensive decisions
Drive Parry: profile 1 · reference 1.77
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 1 · reference 1.77
- Perfect Parry: profile 0.2 · reference 0.61
- Drive Reversal: profile 0.4 · reference 0.31
Review close-range choices
Throws: profile 2.1 · reference 2.64
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 2.1 · reference 2.64
- Got thrown: profile 2.6 · reference 2.05
Give each meter spend a purpose
SA1: profile 11.9% · reference 22.7%
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
- SA1: profile 11.9% · reference 22.7%
- SA2: profile 73% · reference 56%
- SA3: profile 10.3% · reference 16.6%
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 13, 2026 · AI: nex-agi/nex-n2.5-mini:free
How to beat this player
Use matchup records as scouting leads
vs Rashid: 5 wins in 12 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 Rashid: 5 wins in 12 games
- vs Ed: 6 wins in 10 games
- vs Marisa: 8 wins in 11 games
Separate a tendency from a one-off event
Recent stored ranked sample: 49 wins in 80 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: 49 wins in 80 games
Test the close-range pattern
Got thrown: profile 2.6 · reference 2.05
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
- Got thrown: profile 2.6 · reference 2.05
- Throws: profile 2.1 · reference 2.64
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 13, 2026 · AI: nex-agi/nex-n2.5-mini:free