smueli

smueli — CS2 Stats

FI76561198997487610[U:1:1037221882]Steam profile ↗✓ No bans

878Tracked matches38%Win rate2021Tracked since
1,279Hours in CS12Hrs last 2 wks
CSDB Rating4.7 DevelopingPositional Player
Premier CS Rating13,046Blue band · top ~38.8% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (2 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: 13,046 +497 3 Jun – 3 Nov · 23 days played
12,54915,114peak 15,1143 Jun3 Nov
15,114Peak Premier in tracked matches
54Days played since 2026-06-03

Premier CS Rating

  • 2,068 below peak (15,114)
  • +181 over 30 days · steady
  • Next: Purple band at 15,000 — 1,954 to go
  • Reached: Purple band · Blue band · Light Blue band

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate43.7%42.0%44.4%meets
Shot accuracy8.9%9.6%11.9%2.9% short
Kill/death ratio0.940.981.030.09 short
Match win rate40.8%43.8%45.2%4.4% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGsmueliPREMIER13,046 · 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

Aim68
Positioning47
Utility46

0–100 skill scores via Leetify.

Recent form

COLD49–45–6Last 10049%Win rateWLLWTLLLLW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −1.9pp headshot accuracy · −30ms reaction

Win rate 0pp 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 496ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 547ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 562ms

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).

Aim6.8
Utility4.6
Positioning4.7
Opening Duels0.6
Clutch3.6

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

iM

Plays most like iM 88% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; 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

Reaction time. 589ms 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
Positioning4.7
Utility4.6
Mechanics6.7
Opening Duels1.7
Win Impact1.0

Composite 4.7/10 (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 -0.00 → last ⅓ avg -0.01
Reaction time587ms−9ms
first ⅓ avg 596ms → last ⅓ avg 587ms
Headshot accuracy21.9%+0.8%
first ⅓ avg 21.1% → last ⅓ avg 21.9%

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

0.10Best match rating · 13–4 · inferno, 7 Oct →
62%Best headshot accuracy · 1–10 · mirage, 10 Oct →
391msFastest reaction time · 7–13 · office, 12 Jun →
13–1Biggest win · anubis, 12 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 80% over 10anubisWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
nukeS2013–765%-0.01
mirageD154–1127%-0.04
dust2C146–843%0.01
officeB126–650%-0.03
infernoS108–280%0.03
anubisD92–722%0.02
cacheC94–544%-0.00
ancientB63–350%0.00
train—31–233%-0.02
vertigo—11–0100%0.03
warden—11–0100%0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

33,897Lifetime kills
0.94K/D
2,444Matches
40.8%Match win rate
43.7%Headshot % · Top 50% of Blue band
8.9%Shot accuracy
3,715MVPs
775Hours (in match)
1,823Bombs planted
452Bombs defused

Most-used weapons

AK-477,792
AWP3,580
SSG 081,629
Knife1,316

Lifetime map wins

3,396nuke
1,848inferno
1,749dust2
1,036vertigo
700train
557office
395lake
139italy

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

Faceit stats

Combat

31Matches
26%Win rate
0.75Avg K/D
85.9ADR
45%Headshot %

Clutches & streaks

38%1v1 clutch win
21%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage450%1.1416.0
Cache30%0.467.3
Anubis30%1.0316.7
Dust22100%1.3716.0
Ancient10%1.4722.0
Inferno10%0.6210.0
Nuke1100%1.0715.0

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.

22.1%Headshot accuracy
30.1%Accuracy (enemy spotted)
40.9%Spray accuracy
80.0%Counter-strafing
11.0°Preaim
589msReaction time
43.6%T opening success
29.8%CT opening success
0.59Enemies flashed / flash
2.9%Flash assists
7.92HE damage / grenade
4.02Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 29.754% — below the 40% mark we flag

Spend your practice time on Anubis

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–50.0529%4 Nov →
mirage6–130.0017%3 Nov →
anubis9–13-0.0217%2 Nov →
office13–110.0134%29 Oct →
anubis15–150.0812%28 Oct →
dust22–13-0.0512%28 Oct →
nuke11–13-0.0433%27 Oct →
nuke2–13-0.0424%27 Oct →
cache3–13-0.0821%27 Oct →
inferno13–60.0525%27 Oct →
dust29–13-0.0423%27 Oct →
nuke1–13-0.0850%27 Oct →
inferno13–4-0.0221%26 Oct →
nuke13–50.0510%26 Oct →
dust211–13-0.0326%25 Oct →
ancient9–13-0.0325%25 Oct →
nuke10–130.0531%25 Oct →
mirage4–13-0.0415%21 Oct →
nuke13–6-0.0310%21 Oct →
ancient4–130.0031%21 Oct →
train4–13-0.0640%20 Oct →
nuke13–11-0.0925%20 Oct →
nuke11–13-0.0415%20 Oct →
mirage10–13-0.0416%16 Oct →
nuke13–4-0.068%15 Oct →
mirage13–6-0.0310%14 Oct →
nuke14–160.0123%14 Oct →
anubis9–130.0112%14 Oct →
cache13–70.0231%13 Oct →
dust213–80.0721%12 Oct →
mirage15–15-0.0513%12 Oct →
anubis13–10.0021%12 Oct →
inferno9–70.0123%12 Oct →
vertigo13–110.0329%12 Oct →
cache10–13-0.0219%12 Oct →
inferno13–40.0935%11 Oct →
mirage1–10-0.0362%10 Oct →
dust28–130.0625%10 Oct →
ancient14–120.0111%8 Oct →
cache13–2-0.0124%7 Oct →
inferno13–40.1028%7 Oct →
nuke16–140.0716%7 Oct →
mirage13–30.0235%6 Oct →
office13–9-0.0325%6 Oct →
inferno9–130.0325%4 Oct →
inferno13–60.0124%3 Oct →
dust213–5-0.0022%1 Oct →
dust210–13-0.0112%30 Sept →
inferno13–5-0.0131%28 Sept →
dust26–130.0420%25 Sept →
dust213–100.0516%23 Sept →
ancient9–130.0422%23 Sept →
cache13–40.0231%23 Sept →
mirage5–13-0.0218%23 Sept →
nuke13–10-0.047%18 Sept →
anubis6–1-0.0129%18 Sept →
dust213–7-0.0316%18 Sept →
office13–9-0.0229%18 Sept →
mirage2–13-0.1323%12 Sept →
mirage6–13-0.0911%10 Sept →
inferno13–9-0.0017%10 Sept →
cache16–120.0615%3 Sept →
anubis7–130.0634%2 Sept →
mirage0–13-0.1418%2 Sept →
mirage3–13-0.0028%2 Sept →
ancient13–6-0.0224%31 Aug →
office1–6-0.140%26 Aug →
cache8–130.0217%26 Aug →
office11–13-0.0634%25 Aug →
office13–90.0320%25 Aug →
office13–11-0.0811%24 Aug →
office2–13-0.0538%24 Aug →
inferno11–130.0114%20 Aug →
dust213–90.0718%20 Aug →
nuke13–90.0515%17 Aug →
office12–12-0.017%15 Aug →
nuke13–4-0.0117%15 Aug →
mirage7–130.0026%13 Aug →
anubis8–13-0.0118%11 Aug →
anubis5–130.0417%11 Aug →
nuke13–3-0.0322%10 Aug →
anubis9–13-0.0220%9 Aug →
dust213–6-0.0335%7 Aug →
nuke13–90.0125%6 Aug →
cache2–7-0.0413%6 Aug →
nuke13–4-0.0610%3 Aug →
nuke13–70.0517%2 Aug →
office13–100.0723%17 Jun →
train9–130.0026%17 Jun →
train10–40.0129%17 Jun →
dust210–130.0621%16 Jun →
warden13–110.0424%16 Jun →
office12–12-0.0620%14 Jun →
cache12–120.0123%14 Jun →
office7–13-0.0427%12 Jun →
mirage13–30.0124%12 Jun →
nuke5–13-0.0315%11 Jun →
ancient13–90.0219%4 Jun →
dust215–15-0.0822%3 Jun →
mirage13–70.0132%3 Jun →

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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