Smookr

Smookr — CS2 Stats

FI76561197970195953[U:1:9930225]Steam profile ↗✓ No bans

530Tracked matches47%Win rate2023Tracked since
879Hours in CS6Hrs last 2 wks
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating14,999Blue band · top ~28.4% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (4 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: 14,999 +324 20 Jul – 31 Oct · 26 days played
13,53316,349peak 16,34920 Jul31 Oct
16,483Peak Premier in tracked matches
30Days played since 2026-07-20

Premier CS Rating

  • 1,350 below peak (16,349)
  • -407 over 90 days
  • Next: Purple band at 15,000 — 1 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-19
  • Blue band first seen 2026-09-19

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 Level 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate54.8%43.8%44.8%above
Shot accuracy10.2%12.0%12.4%2.2% short
Kill/death ratio1.071.021.03above
Match win rate42.9%44.7%45.2%2.4% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSmookrFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER14,999 · Blue 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

Aim72
Positioning51
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY51–49Last 10051%Win rateWWWWLLWWLL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −0.3pp headshot accuracy · +39ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 10%
  • Avg reaction 598ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 560ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 541ms

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 (+1.3 against its own average).

Aim7.2
Utility5.0
Positioning5.1
Opening Duels2.8
Clutch2.4

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

Twistzz

Plays most like Twistzz 96% playstyle similarity

Most alike: utility contribution, positioning profile.

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 →

CSDB Rating breakdown

Aim7.2
Positioning5.1
Utility5.0
Mechanics7.1
Opening Duels2.2
Win Impact3.9

Composite 5.3/10 (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 -0.01 → last ⅓ avg -0.01
Reaction time541ms−20ms
first ⅓ avg 561ms → last ⅓ avg 541ms
Headshot accuracy14.9%−2.1%
first ⅓ avg 17.0% → last ⅓ avg 14.9%

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

0.15Best match rating · 13–6 · ancient, 3 Aug →
35%Best headshot accuracy · 11–13 · inferno, 15 Aug →
422msFastest reaction time · 9–13 · anubis, 11 Oct →
13–0Biggest win · cache, 30 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W4Current streak
10–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 82% over 11mirageWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoC238–1535%-0.02
anubisC187–1139%-0.02
nukeB158–753%-0.01
cacheS1511–473%0.01
dust2B126–650%-0.00
ancientS119–282%0.02
mirageD62–433%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,896Lifetime kills
1.07K/D · Top 50% of Level 5 players
1,283Matches
42.9%Match win rate
54.8%Headshot % · Top 25% of Level 5 players
10.2%Shot accuracy
2,005MVPs
421Hours (in match)
918Bombs planted
182Bombs defused

Most-used weapons

Lifetime map wins

1,374inferno
1,370nuke
1,058dust2
303vertigo
284train
156bank
147lake
109safehouse

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

Faceit stats

Combat

46Matches
50%Win rate
0.98Avg K/D
76.3ADR
47%Headshot %

Clutches & streaks

32%1v1 clutch win
15%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Nuke1164%0.9716.2
Ancient850%1.0815.1
Inferno743%0.7213.9
Dust2650%1.0215.5
Anubis40%0.7212.5
Overpass333%0.7010.0
Mirage3100%1.7018.7
Cache367%1.1418.0

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.

13.6%Headshot accuracy
35.1%Accuracy (enemy spotted)
35.5%Spray accuracy
82.1%Counter-strafing
9.0°Preaim
540msReaction time
38.3%T opening success
39.0%CT opening success
0.57Enemies flashed / flash
1.3%Flash assists
10.12HE damage / grenade
6.16Flashes / 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 13.6234% — 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 38.3047% — below the 40% mark we flag

Spend your practice time on Mirage

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 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–90.0911%31 Oct →
cache13–110.048%31 Oct →
nuke13–5-0.027%25 Oct →
inferno13–6-0.0311%25 Oct →
inferno9–13-0.0215%25 Oct →
dust212–16-0.0316%23 Oct →
cache13–30.0820%23 Oct →
anubis13–30.0514%23 Oct →
anubis8–13-0.0312%23 Oct →
anubis4–13-0.1216%17 Oct →
cache13–9-0.058%13 Oct →
anubis9–13-0.028%11 Oct →
ancient13–60.068%11 Oct →
inferno4–13-0.0713%29 Sept →
ancient13–6-0.0324%27 Sept →
nuke13–110.0119%27 Sept →
inferno7–130.0116%20 Sept →
anubis4–13-0.0311%20 Sept →
inferno13–90.0213%18 Sept →
dust210–13-0.0715%18 Sept →
cache13–110.0120%18 Sept →
anubis0–13-0.0822%3 Sept →
cache7–13-0.0213%3 Sept →
cache13–100.0020%2 Sept →
nuke6–13-0.0512%2 Sept →
mirage14–16-0.0316%25 Aug →
inferno4–130.0116%25 Aug →
dust26–13-0.0814%25 Aug →
inferno19–170.039%21 Aug →
anubis10–13-0.009%21 Aug →
inferno11–13-0.0235%15 Aug →
nuke13–11-0.0620%15 Aug →
nuke16–13-0.0323%15 Aug →
nuke13–5-0.0219%15 Aug →
inferno5–13-0.1113%15 Aug →
cache13–80.0222%15 Aug →
inferno4–13-0.0232%14 Aug →
ancient13–100.0615%14 Aug →
cache13–70.0323%14 Aug →
dust213–20.0319%14 Aug →
anubis13–110.0317%7 Aug →
cache11–13-0.0125%7 Aug →
ancient13–4-0.019%7 Aug →
dust213–60.0119%7 Aug →
dust213–90.0920%6 Aug →
inferno4–13-0.0230%6 Aug →
inferno3–13-0.0318%6 Aug →
mirage3–13-0.0316%6 Aug →
anubis9–130.026%6 Aug →
inferno5–13-0.0314%6 Aug →
ancient13–60.1511%3 Aug →
anubis9–13-0.029%3 Aug →
mirage2–13-0.077%3 Aug →
nuke0–13-0.159%3 Aug →
anubis13–7-0.0012%3 Aug →
nuke11–13-0.0322%1 Aug →
ancient16–14-0.0113%30 Jul →
inferno16–130.0519%30 Jul →
cache13–5-0.0111%30 Jul →
anubis13–100.0118%30 Jul →
cache13–00.1017%30 Jul →
inferno6–13-0.0419%29 Jul →
inferno9–13-0.0517%29 Jul →
ancient8–13-0.0114%28 Jul →
anubis4–13-0.079%28 Jul →
inferno11–130.0221%28 Jul →
dust213–50.0217%28 Jul →
dust213–30.0415%28 Jul →
ancient10–130.0011%28 Jul →
inferno13–4-0.0111%28 Jul →
cache9–130.029%28 Jul →
cache13–8-0.0120%27 Jul →
ancient13–6-0.0411%27 Jul →
anubis13–40.044%27 Jul →
inferno5–13-0.0812%27 Jul →
nuke13–4-0.0013%27 Jul →
anubis6–13-0.0523%27 Jul →
nuke13–110.0420%27 Jul →
dust213–16-0.0514%26 Jul →
anubis11–13-0.0430%26 Jul →
ancient13–7-0.0514%26 Jul →
cache4–13-0.0528%26 Jul →
inferno13–40.0316%26 Jul →
dust27–13-0.0120%26 Jul →
nuke8–130.1024%24 Jul →
inferno7–13-0.0815%23 Jul →
ancient5–20.0624%23 Jul →
nuke10–13-0.027%23 Jul →
dust29–13-0.0216%22 Jul →
mirage13–9-0.0313%22 Jul →
inferno13–5-0.0310%21 Jul →
anubis13–5-0.0111%21 Jul →
nuke10–130.0020%21 Jul →
mirage13–90.1021%21 Jul →
dust213–110.0027%21 Jul →
mirage8–13-0.0517%21 Jul →
nuke8–13-0.0121%21 Jul →
anubis13–110.0022%21 Jul →
cache13–9-0.0623%20 Jul →
inferno13–9-0.0623%20 Jul →

Match data via Leetify.

Recent teammates

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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