Smuigelo

Smuigelo — CS2 Stats

FI76561198886329335[U:1:926063607]Steam profile ↗✓ No bans

2,382Tracked matches47%Win rate2020Tracked since
3,243Hours in CS25Hrs last 2 wks
CSDB Rating5.2 DevelopingSupport
FaceitLevel 9 · 1,579 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=14,591), 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 9 medianLevel 10 medianvs Level 10
Headshot rate46.5%48.2%50.9%4.5% short
Shot accuracy11.9%13.3%13.7%1.8% short
Kill/death ratio0.851.071.090.23 short
Match win rate42.3%46.9%48.4%6.1% short

This profile sits below the typical Level 10 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSmuigeloFACEITLevel 9 · 1,579 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim73
Positioning45
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY44–56Last 10044%Win rateWLWLWLWLWL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −5.6pp headshot accuracy · −17ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 538ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 529ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 538ms

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: Support — Utility contribution stands above the rest of this profile (+2.3 against its own average).

Aim7.3
Utility5.7
Positioning4.5
Opening Duels0.8
Clutch2.8

Effective flashesLimited 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

Twistzz

Plays most like Twistzz 92% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim 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

Strengths

Flashes. 0.79 enemies blinded per flash — utility that consistently lands.

Areas to improve

CT openings. Opening success drops from 50% on T to 28% on CT — first contacts on the defending side are being lost.

Reaction time. 552ms 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

Aim7.3
Positioning4.5
Utility5.7
Mechanics6.1
Opening Duels2.5
Win Impact3.9

Composite 5.2/10 (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-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time560ms−116ms
first ⅓ avg 676ms → last ⅓ avg 560ms
Headshot accuracy20.1%−0.5%
first ⅓ avg 20.6% → last ⅓ avg 20.1%

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 · 13–11 · mirage, 3 Apr →
41%Best headshot accuracy · 13–9 · nuke, 8 Sept →
422msFastest reaction time · 13–1 · nuke, 23 May →
13–1Biggest win · nuke, 23 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 60% over 20dust2Weakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB3717–2046%-0.01
nukeB2110–1148%-0.03
ancientA2012–860%-0.01
dust2D102–820%-0.02
anubisC83–538%-0.04
inferno—30–30%-0.10
cache—10–10%-0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

83,991Lifetime kills
0.85K/D
5,403Matches
42.3%Match win rate
46.5%Headshot %
11.9%Shot accuracy
11,020MVPs
1,961Hours (in match)
4,029Bombs planted
1,371Bombs defused

Most-used weapons

AK-4727,258
AWP6,529
SG 5532,222
MP92,118
Knife1,890

Lifetime map wins

7,900nuke
6,586inferno
5,018vertigo
3,899train
3,822dust2
351cbble
229lake
52office

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

Faceit stats

Combat

1,918Matches
51%Win rate
0.90Avg K/D
74.1ADR
52%Headshot %

Clutches & streaks

34%1v1 clutch win
17%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage44245%0.8413.6
Ancient33054%0.8914.8
Nuke24854%0.9715.2
Dust220048%0.8413.4
Anubis17557%0.9414.9
Inferno7752%1.0014.8
Train2157%0.9313.9
Overpass1926%0.9517.1

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.

20.0%Headshot accuracy
33.7%Accuracy (enemy spotted)
34.7%Spray accuracy
77.5%Counter-strafing
9.1°Preaim
552msReaction time
49.9%T opening success
28.2%CT opening success
0.79Enemies flashed / flash
10.4%Flash assists
8.64HE damage / grenade
4.03Flashes / 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 28.1937% — below the 40% mark we flag

Spend your practice time on Dust 2

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–8-0.0412%11 Oct →
mirage5–13-0.0429%4 Oct →
ancient13–6-0.0221%3 Oct →
ancient11–130.0118%2 Oct →
mirage13–4-0.0214%28 Sept →
ancient12–160.0114%27 Sept →
mirage13–90.0417%27 Sept →
dust211–13-0.0130%21 Sept →
mirage13–90.0115%20 Sept →
dust28–13-0.0419%20 Sept →
anubis13–11-0.0113%20 Sept →
mirage13–90.0318%15 Sept →
mirage13–40.0233%14 Sept →
mirage13–11-0.0424%12 Sept →
mirage8–13-0.0311%12 Sept →
nuke13–9-0.0341%8 Sept →
dust25–13-0.0824%30 Aug →
ancient13–9-0.0124%21 Aug →
mirage11–130.0121%18 Aug →
nuke5–13-0.0335%9 Aug →
nuke7–13-0.0013%7 Aug →
mirage13–16-0.0320%3 Aug →
anubis13–9-0.0811%22 Jun →
nuke13–11-0.0611%18 Jun →
nuke4–13-0.0414%18 Jun →
ancient6–13-0.0114%17 Jun →
mirage13–80.0522%16 Jun →
ancient11–13-0.0616%15 Jun →
mirage10–13-0.0330%15 Jun →
mirage4–13-0.0222%12 Jun →
dust29–13-0.0417%8 Jun →
nuke13–7-0.0229%2 Jun →
mirage10–130.0314%1 Jun →
mirage13–11-0.0310%1 Jun →
inferno5–9-0.1218%30 May →
ancient13–6-0.0411%26 May →
nuke16–13-0.0416%26 May →
anubis13–8-0.0522%24 May →
ancient13–6-0.0323%23 May →
nuke13–3-0.0517%23 May →
cache4–13-0.0820%23 May →
nuke13–1-0.0311%23 May →
anubis13–16-0.0422%22 May →
nuke10–13-0.0216%21 May →
dust213–7-0.0217%21 May →
nuke6–13-0.0413%19 May →
mirage1–13-0.0733%15 May →
nuke6–13-0.0525%15 May →
mirage13–110.0720%15 May →
nuke13–11-0.0213%13 May →
mirage13–70.0113%13 May →
nuke13–10-0.0121%9 May →
mirage8–130.0621%9 May →
nuke13–70.0328%4 May →
inferno3–13-0.1111%4 May →
mirage9–13-0.0319%30 Apr →
nuke7–13-0.0620%28 Apr →
mirage13–7-0.0127%28 Apr →
dust29–13-0.068%27 Apr →
mirage9–13-0.0525%27 Apr →
dust28–130.0122%27 Apr →
ancient13–90.0321%27 Apr →
nuke9–13-0.0811%25 Apr →
anubis1–13-0.0927%24 Apr →
ancient13–9-0.0119%19 Apr →
nuke13–11-0.0417%14 Apr →
ancient13–80.0120%14 Apr →
ancient3–13-0.0625%12 Apr →
ancient13–2-0.0213%11 Apr →
ancient6–13-0.0339%10 Apr →
dust213–110.0119%10 Apr →
ancient5–13-0.0229%7 Apr →
mirage14–16-0.0222%5 Apr →
mirage16–13-0.0310%5 Apr →
mirage11–130.0329%4 Apr →
mirage13–110.0822%3 Apr →
ancient16–13-0.0022%3 Apr →
nuke10–130.0122%2 Apr →
mirage13–9-0.0218%2 Apr →
ancient13–11-0.0213%2 Apr →
anubis10–13-0.048%2 Apr →
dust28–130.0021%1 Apr →
mirage11–13-0.0413%31 Mar →
inferno10–13-0.0915%31 Mar →
nuke14–16-0.0723%30 Mar →
mirage18–22-0.0023%29 Mar →
dust27–13-0.0221%22 Mar →
ancient16–13-0.0129%21 Mar →
mirage6–13-0.0323%7 Mar →
ancient6–130.0420%7 Mar →
anubis7–13-0.0213%7 Mar →
mirage13–9-0.0413%4 Mar →
mirage13–50.0114%4 Mar →
mirage13–7-0.0217%4 Mar →
mirage4–13-0.0329%3 Mar →
nuke10–13-0.0525%3 Mar →
mirage5–13-0.0723%3 Mar →
mirage9–13-0.0811%1 Mar →
anubis5–13-0.0336%1 Mar →
mirage11–13-0.0320%1 Mar →

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 →

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