himalayan salt collector

himalayan salt collector — CS2 Stats

BT76561198201603582[U:1:241337854]Steam profile ↗✓ No bans

610Tracked matches50%Win rate2020Tracked since
CSDB Rating4.6 DevelopingPositional Player
Premier CS Rating12,468Blue band · top ~41.8% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Nov 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 12,468 -5,792 11 Jul – 9 Nov · 44 days played
12,46118,281peak 18,28111 Jul9 Nov
18,370Peak Premier in tracked matches
44Days played since 2026-07-10

Premier CS Rating

  • 5,813 below peak (18,281)
  • -2,825 over 30 days · declining
  • -4,899 over 90 days
  • Next: Purple band at 15,000 — 2,532 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-08
  • Blue band first seen 2026-09-08

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

Share this profile

CSDB.GGhimalayan salt collectorFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER12,468 · Blue bandcsdb.gg/stats

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Performance scores

Aim49
Positioning58
Utility28

0–100 skill scores via Leetify.

Recent form

COLD46–51–3Last 10046%Win rateLWLLLTLWLT

Last 10 vs previous 10: −50pp win rate · −0.01 avg rating · −1.2pp headshot accuracy · −34ms reaction

Win rate down 50pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 561ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 545ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 561ms

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 (+1.7 against its own average).

Aim4.9
Utility2.8
Positioning5.8
Opening Duels3.6

Limited 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 86% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

CT openings. Opening success drops from 57% on T to 42% on CT — first contacts on the defending side are being lost.

Reaction time. 551ms 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

Aim4.9
Positioning5.8
Utility2.8
Mechanics5.3
Opening Duels4.8
Win Impact5.0

Composite 4.6/10 (Developing), 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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time546ms−46ms
first ⅓ avg 592ms → last ⅓ avg 546ms
Headshot accuracy14.5%+0.0%
first ⅓ avg 14.5% → last ⅓ avg 14.5%

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

0.08Best match rating · 13–2 · ancient, 15 Aug →
35%Best headshot accuracy · 13–2 · ancient, 15 Aug →
414msFastest reaction time · 4–13 · anubis, 18 Oct →
13–0Biggest win · nuke, 4 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 69% over 13ancientWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
mirageC2511–1444%-0.01
dust2A1810–856%-0.01
infernoS139–469%-0.01
ancientD124–833%-0.02
nukeC125–742%-0.04
anubisC83–538%-0.03
cacheC83–538%0.02
vertigo—21–150%-0.02
office—20–20%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

63Matches
52%Win rate
1.05Avg K/D
—ADR
36%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWWL

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.

14.4%Headshot accuracy
28.0%Accuracy (enemy spotted)
30.7%Spray accuracy
73.7%Counter-strafing
9.6°Preaim
551msReaction time
57.2%T opening success
41.6%CT opening success
0.56Enemies flashed / flash
0.2%Flash assists
4.67HE damage / grenade
4.52Flashes / 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 14.398% — below the 15% mark we flag

    Aim Training →
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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient5–13-0.054%9 Nov →
inferno13–30.0215%6 Nov →
mirage7–13-0.0117%5 Nov →
dust211–13-0.032%5 Nov →
nuke8–13-0.0510%5 Nov →
mirage15–150.0319%3 Nov →
mirage1–13-0.0233%3 Nov →
dust213–50.0519%2 Nov →
ancient13–16-0.0213%31 Oct →
mirage15–150.007%31 Oct →
nuke13–8-0.0311%31 Oct →
inferno13–100.0723%26 Oct →
ancient13–50.0116%26 Oct →
dust213–70.038%25 Oct →
mirage13–70.0413%25 Oct →
mirage9–130.006%25 Oct →
dust29–110.0125%23 Oct →
mirage10–13-0.0514%23 Oct →
dust213–2-0.0122%22 Oct →
mirage13–4-0.0213%20 Oct →
nuke9–13-0.0711%19 Oct →
mirage6–130.0014%19 Oct →
inferno16–13-0.0215%19 Oct →
anubis13–60.0018%19 Oct →
dust213–20.020%19 Oct →
dust25–1-0.0810%19 Oct →
nuke13–100.0029%18 Oct →
anubis4–13-0.0125%18 Oct →
anubis4–13-0.028%17 Oct →
ancient8–13-0.0414%17 Oct →
mirage8–130.0425%17 Oct →
dust211–13-0.067%17 Oct →
anubis12–16-0.0812%17 Oct →
mirage9–13-0.079%17 Oct →
inferno13–40.0218%17 Oct →
mirage13–8-0.0614%16 Oct →
mirage11–13-0.0115%13 Oct →
cache3–13-0.0222%13 Oct →
inferno13–30.0212%13 Oct →
anubis13–60.0117%12 Oct →
mirage7–13-0.0319%11 Oct →
anubis10–13-0.0411%11 Oct →
cache13–11-0.0114%11 Oct →
nuke4–13-0.0319%10 Oct →
cache13–40.0712%10 Oct →
cache11–130.0419%9 Oct →
dust22–13-0.0511%9 Oct →
dust213–10-0.0221%5 Oct →
mirage13–9-0.0224%5 Oct →
cache13–160.0426%1 Oct →
mirage13–110.0115%29 Sept →
nuke13–9-0.029%29 Sept →
anubis1–13-0.076%27 Sept →
vertigo13–9-0.0311%25 Sept →
vertigo3–13-0.0120%25 Sept →
ancient9–13-0.0120%24 Sept →
inferno11–13-0.0117%24 Sept →
mirage13–11-0.0511%20 Sept →
mirage8–13-0.0421%20 Sept →
ancient11–13-0.0516%15 Sept →
nuke6–13-0.095%11 Sept →
dust27–13-0.0320%10 Sept →
nuke13–00.0329%4 Sept →
office6–130.0413%4 Sept →
dust213–40.005%4 Sept →
inferno13–2-0.0018%4 Sept →
mirage13–11-0.0213%17 Aug →
inferno13–9-0.0311%16 Aug →
cache13–10-0.0326%15 Aug →
ancient13–20.0835%15 Aug →
inferno1–13-0.0610%15 Aug →
mirage13–11-0.0114%15 Aug →
dust210–130.029%15 Aug →
mirage10–13-0.013%15 Aug →
nuke10–130.007%13 Aug →
inferno13–80.0110%12 Aug →
nuke16–13-0.0214%12 Aug →
cache10–13-0.0210%8 Aug →
ancient7–13-0.0411%7 Aug →
nuke10–13-0.038%7 Aug →
inferno16–13-0.0321%7 Aug →
dust27–130.0125%7 Aug →
mirage13–6-0.024%30 Jul →
dust213–2-0.0518%30 Jul →
nuke7–13-0.119%14 Jul →
office6–13-0.0632%13 Jul →
cache2–130.0520%13 Jul →
ancient7–13-0.0811%12 Jul →
dust210–13-0.0316%12 Jul →
inferno10–13-0.059%11 Jul →
dust213–40.0211%11 Jul →
anubis13–10-0.0116%11 Jul →
ancient5–13-0.0517%11 Jul →
ancient16–13-0.036%11 Jul →
inferno10–13-0.0321%11 Jul →
mirage15–150.0115%11 Jul →
dust213–20.009%11 Jul →
mirage13–9-0.0412%11 Jul →
mirage13–60.0511%10 Jul →
ancient13–60.0428%10 Jul →

Match data via Leetify.

Milestones

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

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