Sc4rLV

Sc4rLV — CS2 Stats

LV76561198817470673[U:1:857204945]Steam profile ↗✓ No bans

806Tracked matches38%Win rate2020Tracked since
1,215Hours in CS11Hrs last 2 wks
CSDB Rating3.9 LearningClutch Specialist
Premier CS Rating9,407Light Blue band · top ~57.7% 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 14 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

+53Premier CS Rating · 9,354 → 9,407
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 36 days played since 3 May 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 9,407 -4,104 8 May17 Sept · 15 days played
9,35414,011peak 14,0118 May17 Sept
14,011Peak Premier in tracked matches
36Days played since 2026-05-03

Premier CS Rating

  • 4,604 below peak (14,011)
  • -2,862 over 90 days
  • Next: Blue band at 10,000 593 to go
  • Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=11,988), 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 4 medianLevel 5 medianvs Level 5
Headshot rate42.5%42.7%43.8%1.2% short
Shot accuracy8.4%11.2%12.0%3.6% short
Kill/death ratio0.770.991.020.25 short
Match win rate40.5%43.9%44.7%4.3% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSc4rLVFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER9,407 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim62
Positioning37
Utility41

0–100 skill scores via Leetify.

Recent form

COLD424711Last 10042%Win rateLWLLWLWLLL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −1.0pp headshot accuracy · +14ms 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

  • 23 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 538ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 562ms

Last 20

  • 6131 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 555ms

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: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+1.6 against its own average).

Aim6.2
Utility4.1
Positioning3.7
Opening Duels0.1
Clutch4.8

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

sh1ro

Plays most like sh1ro 88% 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

Aim6.2
Positioning3.7
Utility4.1
Mechanics6.2
Opening Duels1.1
Win Impact1.0

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time550ms−0ms
first ⅓ avg 550ms → last ⅓ avg 550ms
Headshot accuracy18.0%+0.7%
first ⅓ avg 17.3% → last ⅓ avg 18.0%

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

0.21Best match rating · 9–4 · inferno, 31 May
36%Best headshot accuracy · 7–9 · inferno, 18 Jun
398msFastest reaction time · 3–9 · inferno, 3 Jun
13–1Biggest win · mirage, 9 Sept

Across the last 100 tracked matches.

Highlights

3Longest win streak
910In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 60% over 5nukeWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
infernoB21111052%-0.00
dust2C1771041%-0.03
nukeD1641225%-0.06
ancientB126650%-0.00
mirageD113827%-0.05
cacheA74357%-0.04
anubisA53260%-0.01
vertigoC52340%-0.02
overpassC52340%-0.06
office1010%-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

28,894Lifetime kills
0.77K/D
2,398Matches
40.5%Match win rate
42.5%Headshot %
8.4%Shot accuracy
4,854MVPs
730Hours (in match)
824Bombs planted
302Bombs defused

Most-used weapons

Lifetime map wins

3,099inferno
2,094nuke
1,857dust2
1,108vertigo
920office
541cbble
353train
111italy

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

Faceit stats

Combat

27Matches
48%Win rate
0.74Avg K/D
73.2ADR
57%Headshot %

Clutches & streaks

44%1v1 clutch win
15%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1145%0.5910.3
Nuke450%1.0515.5
Ancient333%0.498.7
Anubis367%1.1617.0
Inferno1100%0.7814.0
Dust21100%1.0012.0

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.

19.0%Headshot accuracy
29.5%Accuracy (enemy spotted)
30.5%Spray accuracy
77.8%Counter-strafing
9.2°Preaim
547msReaction time
24.2%T opening success
38.8%CT opening success
0.38Enemies flashed / flash
10.5%Flash assists
8.21HE damage / grenade
3.82Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.381 — below the 0.5 mark we flag

    Grenade Lineups
  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 24.205% — below the 40% mark we flag

Spend your practice time on Nuke

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

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient10–13-0.0323%17 Sept
anubis13–20.0615%17 Sept
dust28–13-0.0217%14 Sept
ancient14–160.0214%14 Sept
ancient16–140.0117%13 Sept
nuke11–130.0115%13 Sept
dust213–20.0920%13 Sept
ancient5–13-0.0315%10 Sept
nuke3–9-0.218%9 Sept
mirage1–13-0.0817%9 Sept
mirage13–10.1123%9 Sept
nuke13–11-0.0716%9 Sept
cache4–13-0.097%8 Sept
mirage15–15-0.1020%8 Sept
dust24–13-0.079%8 Sept
nuke11–13-0.0620%8 Sept
dust28–13-0.0512%6 Sept
ancient13–70.0722%3 Sept
cache9–13-0.0131%3 Sept
mirage2–13-0.1111%2 Sept
nuke13–9-0.0228%1 Sept
dust213–7-0.0431%31 Aug
inferno4–9-0.0813%30 Aug
mirage5–13-0.0623%9 Aug
nuke4–13-0.0427%9 Aug
dust213–11-0.0223%9 Aug
vertigo9–6-0.1112%9 Aug
inferno7–9-0.0314%9 Aug
nuke8–8-0.1611%9 Aug
dust210–13-0.0029%8 Aug
ancient13–10.0520%8 Aug
inferno9–60.0221%8 Aug
nuke1–13-0.0514%8 Aug
dust210–13-0.0212%8 Aug
anubis13–30.0213%8 Aug
ancient8–13-0.0822%8 Aug
ancient13–7-0.0011%30 Jun
mirage11–13-0.0614%29 Jun
dust213–9-0.0317%29 Jun
dust213–10-0.0618%28 Jun
cache6–2-0.0810%28 Jun
inferno7–9-0.1136%18 Jun
inferno9–30.1135%18 Jun
inferno4–9-0.1036%18 Jun
nuke5–9-0.1114%18 Jun
nuke8–13-0.0717%16 Jun
nuke11–13-0.0110%12 Jun
inferno11–13-0.0117%12 Jun
dust212–12-0.0521%12 Jun
vertigo8–8-0.0011%11 Jun
overpass9–10.0615%11 Jun
inferno9–20.0818%10 Jun
nuke6–9-0.0518%10 Jun
inferno9–70.0220%10 Jun
dust213–100.0220%10 Jun
mirage11–13-0.1015%10 Jun
dust25–13-0.0416%10 Jun
inferno3–9-0.1433%3 Jun
inferno9–4-0.0112%3 Jun
inferno9–50.1313%3 Jun
inferno9–70.1123%3 Jun
inferno5–9-0.140%3 Jun
vertigo9–10.0712%3 Jun
ancient13–3-0.0414%31 May
dust210–13-0.0316%31 May
nuke4–9-0.1211%31 May
inferno9–40.2121%31 May
inferno8–80.0520%31 May
overpass8–8-0.0412%30 May
inferno9–5-0.0525%30 May
overpass9–20.0319%30 May
overpass1–9-0.2410%30 May
mirage9–13-0.0318%29 May
mirage6–13-0.0410%29 May
ancient7–13-0.0115%29 May
mirage13–5-0.0521%28 May
anubis11–13-0.0220%28 May
vertigo8–8-0.0414%28 May
nuke9–6-0.062%28 May
inferno8–8-0.0618%28 May
inferno9–60.0313%28 May
anubis13–5-0.0414%27 May
anubis4–13-0.0711%27 May
cache10–13-0.0619%27 May
vertigo8–8-0.0216%26 May
cache13–11-0.0212%26 May
inferno6–9-0.1420%26 May
nuke13–70.1218%24 May
inferno9–70.0924%24 May
nuke15–15-0.0311%24 May
ancient13–110.0119%19 May
dust213–11-0.0422%19 May
dust29–13-0.0826%18 May
mirage13–8-0.0721%13 May
ancient10–130.0120%13 May
office6–13-0.0119%13 May
dust210–13-0.0118%8 May
cache13–2-0.0921%7 May
cache13–40.0624%7 May
overpass8–8-0.1018%3 May

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 →