hikari

hikari — CS2 Stats

76561198102938378[U:1:142672650]Steam profile ↗✓ No bans

410Tracked matches60%Win rate2021Tracked since
1,726Hours in CS
CSDB Rating6.2 SolidPositional Player
Premier CS Rating19,777Top 50% of 215,386 CSDB-tracked playersPurple band · top ~9.4% of ranked players (population est.)
CSDB Leaderboard#90320 of 261521 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (58 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 410 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,777 +2,724 11 Jun – 17 Sept · 16 days played
16,75619,777peak 19,77711 Jun17 Sept
19,777Peak Premier in tracked matches
28Days played since 2026-06-11

Premier CS Rating

  • At peak — 19,777
  • 0 over 30 days · steady
  • +2,355 over 90 days
  • Next: Pink band at 20,000 — 223 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-17
  • Blue band first seen 2026-09-17

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate41.4%44.4%46.9%5.5% short
Shot accuracy18.2%11.9%13.0%above
Kill/death ratio1.121.031.08above
Match win rate25.6%45.2%46.7%21.0% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGhikariPREMIER19,777 · Purple bandcsdb.gg/stats

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Performance scores

Aim64
Positioning67
Utility41

0–100 skill scores via Leetify.

Recent form

HOT53–40–7Last 10053%Win rateWWWWWWLWLL

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating · −1.3pp headshot accuracy · −67ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 13%
  • Avg reaction 572ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 582ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 616ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.9 against its own average).

Aim6.4
Utility4.1
Positioning6.7
Opening Duels3.7

Strong CT-side openerLimited utility dependence

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

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

jL

Plays most like jL 85% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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 58% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 631ms 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

Aim6.4
Positioning6.7
Utility4.1
Mechanics7.5
Opening Duels3.7
Win Impact8.3

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time634ms−27ms
first ⅓ avg 661ms → last ⅓ avg 634ms
Headshot accuracy14.3%−0.2%
first ⅓ avg 14.6% → last ⅓ avg 14.3%

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.

Personal bests

0.26Best match rating · 13–4 · mirage, 9 Jul →
36%Best headshot accuracy · 13–4 · mirage, 9 Jul →
453msFastest reaction time · 3–13 · ancient, 14 Jul →
13–0Biggest win · overpass, 7 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W6Current streak
5–7In matches decided by ≤2 rounds
4Overtime games

Map breakdown

overpassBest map · 100% over 5ancientWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
mirageA2916–1355%0.01
dust2A2112–957%0.02
cacheB2010–1050%0.02
infernoB115–645%0.03
ancientC104–640%0.01
overpassS55–0100%0.05
nuke—20–20%-0.00
anubis—10–10%0.01
train—11–0100%0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

46,578Lifetime kills
1.12K/D · Top 50% of Purple band
3,960Matches
25.6%Match win rate
41.4%Headshot %
18.2%Shot accuracy · Top 10% of Purple band
5,016MVPs
1,726Hours (in match)
2,121Bombs planted
694Bombs defused

Most-used weapons

Lifetime map wins

4,785dust2
2,496inferno
537train
404nuke
283office
251vertigo
228cbble
95assault

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

Faceit stats

Combat

65Matches
60%Win rate
1.11Avg K/D
—ADR
43%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
15Longest win streak

Recent Faceit resultsWWLWW

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.

14.2%Headshot accuracy
35.0%Accuracy (enemy spotted)
37.6%Spray accuracy
83.6%Counter-strafing
9.9°Preaim
631msReaction time
31.7%T opening success
58.2%CT opening success
0.56Enemies flashed / flash
5.8%Flash assists
7.01HE damage / grenade
4.89Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.1643% — below the 15% mark we flag

    Aim Training →
  2. 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 31.6667% — 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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–20.1120%21 Aug →
overpass13–00.1518%7 Aug →
ancient13–4-0.039%7 Aug →
ancient13–90.039%7 Aug →
mirage13–100.0110%7 Aug →
dust213–8-0.0220%7 Aug →
dust28–13-0.0416%6 Aug →
inferno13–50.0921%6 Aug →
anubis11–130.0110%6 Aug →
mirage8–130.026%5 Aug →
cache13–30.0512%5 Aug →
mirage13–7-0.0114%5 Aug →
mirage11–13-0.0115%5 Aug →
cache1–13-0.0918%3 Aug →
cache13–110.019%30 Jul →
dust213–60.0213%30 Jul →
cache10–13-0.0025%30 Jul →
cache13–6-0.0014%29 Jul →
inferno8–13-0.0523%29 Jul →
dust211–130.0212%24 Jul →
mirage13–5-0.068%24 Jul →
ancient13–6-0.007%24 Jul →
mirage9–130.0219%24 Jul →
inferno8–130.0117%24 Jul →
mirage13–5-0.0014%22 Jul →
dust26–130.069%21 Jul →
mirage13–40.0415%21 Jul →
cache13–70.0816%21 Jul →
cache12–160.1217%21 Jul →
dust213–60.0311%20 Jul →
ancient2–5-0.0017%17 Jul →
dust213–90.0416%17 Jul →
cache11–130.0413%17 Jul →
dust25–13-0.0420%15 Jul →
mirage13–50.0310%15 Jul →
cache3–13-0.0116%15 Jul →
mirage13–5-0.0020%14 Jul →
inferno13–90.0211%14 Jul →
ancient3–130.0120%14 Jul →
inferno5–13-0.0115%14 Jul →
mirage13–11-0.0313%14 Jul →
dust213–7-0.0511%14 Jul →
dust212–120.0612%10 Jul →
dust213–40.1113%10 Jul →
cache13–40.035%10 Jul →
dust213–100.1419%10 Jul →
mirage13–90.0914%10 Jul →
ancient11–130.0312%9 Jul →
mirage13–40.2636%9 Jul →
cache10–13-0.0523%9 Jul →
mirage12–16-0.0117%9 Jul →
mirage8–12-0.0114%8 Jul →
dust213–60.0113%7 Jul →
mirage13–110.0616%7 Jul →
ancient13–70.036%4 Jul →
mirage13–60.0819%4 Jul →
ancient11–130.019%4 Jul →
nuke11–13-0.0320%1 Jul →
cache13–50.0921%1 Jul →
overpass13–30.0510%1 Jul →
overpass13–80.0516%1 Jul →
inferno15–150.0720%30 Jun →
overpass13–10-0.038%30 Jun →
mirage5–13-0.0314%26 Jun →
dust212–120.0216%26 Jun →
mirage13–8-0.0024%26 Jun →
dust26–130.0115%26 Jun →
dust29–13-0.0330%24 Jun →
mirage13–100.0317%24 Jun →
cache9–130.0211%24 Jun →
dust213–50.1226%24 Jun →
mirage12–12-0.0316%24 Jun →
ancient6–130.0115%23 Jun →
mirage4–13-0.0115%23 Jun →
dust213–8-0.0613%23 Jun →
mirage4–13-0.0013%23 Jun →
inferno7–130.0517%23 Jun →
mirage10–130.028%23 Jun →
cache7–13-0.0318%18 Jun →
cache13–4-0.034%18 Jun →
mirage13–9-0.026%18 Jun →
cache13–3-0.0111%18 Jun →
cache5–13-0.0429%18 Jun →
dust212–120.0513%18 Jun →
inferno13–90.0425%16 Jun →
mirage3–13-0.075%16 Jun →
train13–20.0816%12 Jun →
inferno13–80.0911%12 Jun →
cache12–120.0613%12 Jun →
inferno13–4-0.025%11 Jun →
overpass16–140.0110%11 Jun →
mirage13–70.0213%11 Jun →
mirage9–130.0222%11 Jun →
dust213–9-0.079%11 Jun →
inferno9–130.016%11 Jun →
dust213–20.1120%11 Jun →
mirage5–13-0.0219%11 Jun →
nuke10–130.0318%11 Jun →
cache13–110.0416%11 Jun →
ancient12–12-0.0313%11 Jun →

Match data via Leetify.

Recent teammates

Milestones

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

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