_Hyouhaku_ — CS2 Stats

76561198272170298[U:1:311904570]

1,776Tracked matches34%Win rate2020Tracked since
4,286Hours in CS52Hrs last 2 wks
CSDB Rating3.5 LearningSupport
FaceitLevel 9 · 1,845 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,109), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate40.7%49.0%52.0%11.3% short
Shot accuracy15.8%13.1%13.7%above
Kill/death ratio1.071.081.08meets
Match win rate47.2%46.9%48.8%1.6% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG_Hyouhaku_FACEITLevel 9 · 1,845 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim50
Positioning32
Utility72

0–100 skill scores via Leetify.

Recent form

STEADY46495Last 10046%Win rateLTWWLLWLLW

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim5.0
Aggression0.9
Utility7.2
Positioning3.2
Opening Duels0.0
Clutch4.2

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 72% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 31% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 592ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim5.0
Positioning3.2
Utility7.2
Mechanics3.1
Opening Duels0.1
Win Impact0.0

Composite 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.06
first ⅓ avg 0.04 → last ⅓ avg -0.02
Reaction time601ms−46ms
first ⅓ avg 647ms → last ⅓ avg 601ms
Headshot accuracy19.3%−3.0%
first ⅓ avg 22.4% → last ⅓ avg 19.3%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.20Best rating — dust2 13–4
130Biggest win — dust2
5Longest win streak
96In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 57% over 44infernoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A44251957%0.01
mirageB24131154%0.02
anubisC104640%0.00
ancientD103730%-0.01
infernoD51420%-0.00
cache3030%-0.03
nuke3030%0.02
vertigo1010%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

112,110Lifetime kills
1.07K/D
5,474Matches
47.2%Match win rate · Top 50% of Level 9 players
40.7%Headshot %
15.8%Shot accuracy · Top 50% of Level 9 players
13,845MVPs
2,412Hours (in match)
4,085Bombs planted
1,303Bombs defused

Most-used weapons

AK-4725,506
AWP13,952
UMP-459,141
P905,363
MAC-103,811
MP93,253

Lifetime map wins

20,786dust2
5,147inferno
1,285nuke
1,252train
836vertigo
303cbble
141office
91lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1,433Matches
51%Win rate
1.14Avg K/D
76.6ADR
41%Headshot %

Clutches & streaks

41%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage17456%1.1615.7
Dust213960%1.0816.4
Anubis6948%1.0815.8
Ancient5141%0.9815.2
Inferno4838%0.8814.8
Nuke1937%1.0814.8
Overpass1233%0.8815.3
Cache1145%1.0016.4

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.9%Headshot accuracy
34.1%Accuracy (enemy spotted)
39.1%Spray accuracy
64.1%Counter-strafing
12.9°Preaim
592msReaction time
15.5%T opening success
31.1%CT opening success
0.65Enemies flashed / flash
14.4%Flash assists
7.97HE damage / grenade
19.93Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.8782° — above the 12° mark we flag

    Aim Training
Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis7–13-0.0513%27 Aug
dust212–12-0.0215%24 Aug
dust213–11-0.0312%23 Aug
dust213–70.0316%22 Aug
ancient8–13-0.0213%22 Aug
dust210–13-0.0322%22 Aug
dust213–9-0.1014%22 Aug
mirage2–13-0.0047%22 Aug
inferno11–13-0.0625%20 Aug
dust213–110.0223%20 Aug
mirage7–13-0.0419%14 Aug
mirage11–130.0332%11 Aug
dust213–6-0.0416%11 Aug
dust216–130.0720%11 Aug
dust216–14-0.0122%10 Aug
ancient9–130.0728%10 Aug
ancient4–13-0.0016%10 Aug
mirage7–13-0.0315%9 Aug
ancient13–4-0.0613%9 Aug
dust211–13-0.0616%9 Aug
vertigo9–13-0.0119%8 Aug
ancient1–13-0.110%8 Aug
mirage13–3-0.049%8 Aug
dust23–13-0.0529%7 Aug
mirage9–13-0.0127%7 Aug
anubis8–13-0.1013%7 Aug
dust23–13-0.0121%7 Aug
mirage4–90.0019%7 Aug
dust24–130.0415%7 Aug
dust213–11-0.0113%5 Aug
ancient13–70.0221%3 Aug
dust213–70.0619%2 Aug
mirage8–13-0.0634%2 Aug
dust28–13-0.0910%1 Aug
dust29–13-0.0413%1 Aug
dust27–130.0626%1 Aug
dust213–100.0013%1 Aug
dust213–10.0418%1 Aug
dust24–13-0.0317%1 Aug
anubis13–40.0724%31 Jul
dust213–100.0730%31 Jul
anubis9–13-0.0313%30 Jul
dust213–110.0219%30 Jul
ancient14–16-0.0311%30 Jul
cache9–13-0.0223%29 Jul
dust22–13-0.0548%25 Jul
anubis2–13-0.0718%23 Jul
ancient7–130.016%23 Jul
nuke6–9-0.0116%23 Jul
anubis12–120.0616%23 Jul
dust213–16-0.0115%22 Jul
cache8–13-0.096%22 Jul
dust24–13-0.050%20 Jul
mirage6–13-0.0329%20 Jul
inferno13–80.0314%20 Jul
dust213–40.0416%20 Jul
mirage16–140.0719%20 Jul
anubis13–70.0319%20 Jul
ancient13–6-0.0312%17 Jul
nuke10–13-0.0028%16 Jul
anubis13–110.1124%15 Jul
dust211–130.0434%15 Jul
dust213–20.0226%15 Jul
mirage6–00.0715%15 Jul
mirage13–11-0.0732%12 Jul
mirage13–70.1027%11 Jul
anubis9–13-0.0226%11 Jul
mirage5–130.0026%9 Jul
mirage13–5-0.0032%9 Jul
dust213–00.026%9 Jul
dust213–10-0.0222%9 Jul
inferno5–130.0219%3 Jul
dust215–150.009%3 Jul
cache10–130.0130%30 Jun
dust213–20.1319%30 Jun
mirage13–90.0631%27 Jun
nuke10–130.0623%26 Jun
mirage7–13-0.0526%26 Jun
dust213–40.2018%26 Jun
dust213–20.1226%24 Jun
mirage4–13-0.0427%24 Jun
dust24–13-0.0519%24 Jun
dust213–60.0919%23 Jun
mirage13–80.0922%23 Jun
dust216–120.0723%23 Jun
ancient4–130.0031%23 Jun
dust211–130.0120%21 Jun
mirage13–60.1919%21 Jun
inferno13–16-0.0218%21 Jun
anubis16–130.0318%21 Jun
dust210–13-0.0127%21 Jun
dust213–90.0714%21 Jun
mirage13–100.1327%21 Jun
dust213–4-0.0213%20 Jun
mirage13–2-0.0833%20 Jun
dust212–120.0440%20 Jun
dust211–30.0811%20 Jun
mirage13–110.0830%17 Jun
mirage13–90.0426%17 Jun
inferno15–150.0216%14 Jun

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →