kokuyoku

kokuyoku — CS2 Stats

76561198969739447[U:1:1009473719]Steam profile ↗✓ No bans

3,672Tracked matches59%Win rate2023Tracked since
CSDB Rating5.9 SolidHybrid Rifler
Premier CS Rating20,330Top 50% of 44,590 CSDB-tracked playersPink band · top ~8.1% of ranked players (population est.)
CSDB Leaderboard#21317 of 59532 tracked
FaceitLevel 5 · 1,428 ELOTop 67.6% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Share this profile

CSDB.GGkokuyokuFACEITLevel 5 · 1,428 ELOSTANDINGTop 67.6% of rankedPREMIER20,330 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim68
Positioning50
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY51445Last 10051%Win rateWWLTLLLWWL

Last 10 vs previous 10: -10pp win rate · +0.03 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.8
Aggression5.9
Utility5.4
Positioning5.0
Opening Duels1.7
Clutch3.2

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

b1t

Plays most like b1t 89% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: 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

Reaction time. 615ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim6.8
Positioning5.0
Utility5.4
Mechanics6.8
Opening Duels1.7
Win Impact7.9

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time617ms−28ms
first ⅓ avg 645ms → last ⅓ avg 617ms
Headshot accuracy21.3%+4.2%
first ⅓ avg 17.1% → last ⅓ avg 21.3%

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

0.14Best rating — dust2 13–4
130Biggest win — dust2
6Longest win streak
W2Current streak
64In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 70% over 10ancientWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B29151452%-0.02
mirageA1911858%-0.01
infernoB157847%-0.03
ancientC114736%-0.02
cacheS107370%0.02
anubisB105550%-0.01
nukeC52340%0.01
train1010%-0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

326Matches
51%Win rate
0.90Avg K/D
75.0ADR
51%Headshot %

Clutches & streaks

36%1v1 clutch win
22%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient7645%0.8514.1
Dust27155%0.8913.8
Mirage5446%0.9012.6
Inferno4852%0.8012.3
Anubis3253%1.0315.0
Nuke1656%0.9114.9
Overpass1573%1.1015.4
Cache633%1.0816.0

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.

21.6%Headshot accuracy
32.3%Accuracy (enemy spotted)
35.4%Spray accuracy
80.7%Counter-strafing
9.8°Preaim
615msReaction time
31.3%T opening success
42.2%CT opening success
0.56Enemies flashed / flash
4.9%Flash assists
8.98HE damage / grenade
9.41Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 31.2968% — below the 40% mark we flag

Spend your practice time on Ancient

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–40.1431%29 Aug
cache13–70.1018%29 Aug
inferno11–13-0.0521%29 Aug
mirage12–120.0720%29 Aug
dust210–130.0141%29 Aug
inferno11–13-0.0621%29 Aug
mirage10–13-0.0321%29 Aug
inferno13–100.0021%26 Aug
anubis13–8-0.0313%26 Aug
dust29–13-0.0536%26 Aug
dust213–8-0.0214%26 Aug
anubis7–13-0.0814%26 Aug
anubis13–70.0712%22 Aug
dust28–13-0.0627%22 Aug
ancient9–9-0.0016%22 Aug
ancient6–13-0.0533%21 Aug
ancient13–6-0.0220%20 Aug
dust29–13-0.0123%20 Aug
cache13–5-0.0115%20 Aug
mirage13–110.0130%20 Aug
mirage13–90.0020%20 Aug
inferno13–70.0022%19 Aug
nuke13–80.1112%19 Aug
cache13–70.0716%19 Aug
ancient8–13-0.0422%19 Aug
ancient8–13-0.0116%16 Aug
mirage13–70.0416%16 Aug
dust213–8-0.0317%16 Aug
mirage13–2-0.0132%16 Aug
cache13–70.0027%16 Aug
dust213–80.0229%16 Aug
inferno6–130.0719%16 Aug
mirage13–20.017%16 Aug
anubis3–13-0.1020%14 Aug
inferno4–130.0221%14 Aug
train4–13-0.0915%14 Aug
mirage13–40.0111%14 Aug
mirage13–4-0.0416%9 Aug
anubis10–13-0.0517%6 Aug
mirage13–11-0.0412%6 Aug
dust211–13-0.1321%6 Aug
nuke6–13-0.0116%6 Aug
ancient13–8-0.0018%6 Aug
dust28–13-0.0519%5 Aug
mirage15–150.0126%1 Aug
dust216–13-0.0016%30 Jul
dust28–13-0.0324%30 Jul
inferno12–12-0.0311%30 Jul
inferno13–6-0.039%29 Jul
dust213–90.0727%29 Jul
anubis13–100.0412%27 Jul
ancient5–13-0.0014%23 Jul
nuke8–13-0.0717%22 Jul
dust25–130.0025%22 Jul
inferno13–6-0.0920%22 Jul
cache3–13-0.0313%22 Jul
anubis16–13-0.0111%22 Jul
anubis9–13-0.054%21 Jul
dust213–0-0.0025%21 Jul
inferno13–9-0.0311%20 Jul
mirage16–140.0129%20 Jul
dust213–110.0616%20 Jul
inferno9–13-0.0821%19 Jul
anubis13–9-0.0110%19 Jul
mirage10–13-0.0010%19 Jul
dust213–70.0114%19 Jul
cache13–10-0.0319%19 Jul
mirage10–13-0.0315%19 Jul
ancient13–1-0.049%18 Jul
mirage13–40.0431%18 Jul
nuke16–140.029%18 Jul
dust212–16-0.0315%18 Jul
dust213–2-0.0320%17 Jul
inferno13–10-0.0111%17 Jul
dust216–12-0.0431%17 Jul
mirage9–13-0.0319%16 Jul
ancient5–13-0.0714%16 Jul
cache13–60.0413%16 Jul
dust23–13-0.0225%16 Jul
anubis13–160.0718%16 Jul
dust22–13-0.0623%16 Jul
cache15–15-0.0224%15 Jul
dust213–9-0.037%15 Jul
cache13–10.0328%15 Jul
inferno7–13-0.0413%14 Jul
dust213–6-0.0111%14 Jul
nuke6–13-0.0016%11 Jul
dust22–13-0.0517%11 Jul
dust213–6-0.097%4 Jul
dust210–13-0.058%4 Jul
mirage10–13-0.0329%2 Jul
dust213–110.0123%2 Jul
cache12–120.0524%2 Jul
ancient10–13-0.0410%27 Jun
mirage13–8-0.0413%27 Jun
inferno7–3-0.057%27 Jun
dust210–13-0.0427%27 Jun
ancient13–20.0321%27 Jun
inferno3–13-0.090%22 Jun
mirage7–13-0.0425%22 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 →