sharofff

sharofff — CS2 Stats

UA76561198163663663[U:1:203397935]Steam profile ↗✓ No bans

829Tracked matches50%Win rate2021Tracked since
1,460Hours in CS20Hrs last 2 wks
CSDB Rating6.0 SolidSupport
Premier CS Rating16,458Purple band · top ~22.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (3 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.

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. 43 days played since 25 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 16,458 +1,020 25 Jul17 Sept · 41 days played
15,43818,741peak 18,74125 Jul17 Sept
18,763Peak Premier in tracked matches
43Days played since 2026-07-25

Premier CS Rating

  • 2,283 below peak (18,741)
  • -881 over 30 days · declining
  • Next: Pink band at 20,000 3,542 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

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 Purple band among CSDB-tracked players (n=36,319), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate49.8%44.3%46.9%above
Shot accuracy1.1%11.8%13.0%11.9% short
Kill/death ratio0.851.031.080.24 short
Match win rate49.1%45.2%46.7%above

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGsharofffPREMIER16,458 · Purple bandcsdb.gg/stats

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Performance scores

Aim68
Positioning54
Utility66

0–100 skill scores via Leetify.

Recent form

COLD52462Last 10052%Win rateLLLWLLWWLL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +6.3pp headshot accuracy · −5ms 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

  • 14 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 27%
  • Avg reaction 597ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 598ms

Last 20

  • 713 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 600ms

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: SupportUtility contribution stands above the rest of this profile (+1.6 against its own average).

Aim6.8
Utility6.6
Positioning5.4
Opening Duels2.7
Clutch5.2

Strong CT-side opener

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

NiKo

Plays most like NiKo 80% 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 →

Strengths & areas to improve

Areas to improve

Reaction time. 608ms 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
Positioning5.4
Utility6.6
Mechanics6.7
Opening Duels3.4
Win Impact5.0

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time605ms−81ms
first ⅓ avg 686ms → last ⅓ avg 605ms
Headshot accuracy19.5%−1.3%
first ⅓ avg 20.8% → last ⅓ avg 19.5%

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

0.18Best match rating · 13–2 · ancient, 25 Aug
38%Best headshot accuracy · 13–11 · ancient, 16 Sept
438msFastest reaction time · 10–13 · inferno, 18 Aug
13–0Biggest win · cache, 11 Aug

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
78In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 73% over 15infernoWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
ancientS29191066%0.00
cacheD2351822%-0.02
nukeS1712571%0.00
anubisS1511473%-0.02
infernoD81713%-0.04
mirageC52340%0.00
dust232167%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,719Lifetime kills
0.85K/D
1,642Matches
49.1%Match win rate · Top 25% of Purple band
49.8%Headshot % · Top 50% of Purple band
1.1%Shot accuracy
3,378MVPs
686Hours (in match)
2,254Bombs planted
374Bombs defused

Most-used weapons

AK-478,281
FAMAS2,548
MP7546
MP9502
HE Grenade289

Lifetime map wins

2,765nuke
2,540dust2
2,104inferno
900train
164vertigo
2ar_shoots
1office

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

Faceit stats

Combat

39Matches
51%Win rate
1.06Avg K/D
77.0ADR
56%Headshot %

Clutches & streaks

46%1v1 clutch win
21%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient1060%0.8112.3
Anubis944%1.1215.9
Nuke771%1.6317.3
Dust2633%1.0214.3
Mirage560%0.8212.6
Inferno20%0.7919.0

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.

20.4%Headshot accuracy
32.5%Accuracy (enemy spotted)
33.3%Spray accuracy
80.0%Counter-strafing
8.6°Preaim
608msReaction time
37.3%T opening success
49.8%CT opening success
0.68Enemies flashed / flash
6.5%Flash assists
9.96HE damage / grenade
11.78Flashes / 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

    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 37.3364% — below the 40% mark we flag

Spend your practice time on Inferno

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno17–190.0030%18 Sept
cache6–13-0.0216%17 Sept
cache13–160.0219%17 Sept
ancient13–110.0238%16 Sept
ancient7–130.0031%16 Sept
ancient4–13-0.0122%15 Sept
dust213–11-0.0222%15 Sept
ancient13–9-0.0214%14 Sept
anubis10–13-0.0236%14 Sept
cache7–13-0.0722%12 Sept
cache9–130.0017%12 Sept
cache12–16-0.048%11 Sept
nuke13–10-0.0316%11 Sept
anubis13–90.0431%11 Sept
nuke11–13-0.0516%10 Sept
anubis13–9-0.0318%10 Sept
ancient7–13-0.0218%10 Sept
ancient8–13-0.0019%8 Sept
nuke14–160.0020%8 Sept
cache13–90.0425%7 Sept
ancient13–90.0118%7 Sept
mirage8–13-0.0229%7 Sept
anubis13–10-0.0710%6 Sept
ancient13–7-0.017%6 Sept
cache13–7-0.037%5 Sept
anubis13–8-0.0415%5 Sept
cache7–13-0.0916%3 Sept
nuke13–60.0623%3 Sept
dust213–100.0518%2 Sept
nuke16–140.0624%1 Sept
nuke13–50.0623%1 Sept
ancient9–13-0.0113%31 Aug
ancient13–8-0.034%31 Aug
cache9–13-0.0016%30 Aug
anubis13–9-0.0216%30 Aug
cache9–13-0.0710%30 Aug
anubis15–15-0.0411%30 Aug
ancient13–2-0.0220%30 Aug
inferno5–13-0.0626%29 Aug
nuke13–6-0.0218%29 Aug
anubis6–13-0.0212%28 Aug
mirage8–13-0.0317%28 Aug
anubis8–13-0.0121%27 Aug
nuke13–16-0.0811%27 Aug
nuke7–13-0.0919%26 Aug
mirage13–70.0318%26 Aug
ancient13–20.1820%25 Aug
ancient13–60.0219%25 Aug
mirage13–70.0323%24 Aug
ancient13–8-0.0326%24 Aug
ancient13–11-0.0113%18 Aug
inferno10–13-0.0311%18 Aug
cache13–70.0019%17 Aug
nuke13–40.0320%17 Aug
anubis13–10-0.0214%16 Aug
ancient13–90.0311%16 Aug
ancient13–80.0123%14 Aug
ancient10–13-0.0718%14 Aug
anubis13–6-0.0117%13 Aug
ancient6–13-0.0314%13 Aug
ancient11–130.0514%12 Aug
cache9–130.0011%11 Aug
cache13–00.0324%11 Aug
inferno4–13-0.0910%9 Aug
nuke13–90.0713%9 Aug
inferno10–13-0.0323%8 Aug
cache5–13-0.0615%8 Aug
cache15–15-0.0219%7 Aug
nuke13–50.0722%7 Aug
cache11–13-0.0012%7 Aug
ancient13–110.0020%6 Aug
nuke13–5-0.0221%6 Aug
dust214–16-0.0024%5 Aug
mirage6–130.0117%5 Aug
ancient13–60.0117%5 Aug
cache8–130.0016%4 Aug
anubis13–3-0.047%4 Aug
inferno2–13-0.0727%4 Aug
anubis13–100.0322%3 Aug
nuke13–40.0732%3 Aug
cache7–130.0227%3 Aug
nuke13–16-0.0611%30 Jul
anubis13–60.0328%30 Jul
ancient13–80.0418%30 Jul
cache3–13-0.0512%29 Jul
inferno13–6-0.0123%29 Jul
ancient16–130.0420%28 Jul
ancient7–130.0126%28 Jul
inferno4–13-0.0522%28 Jul
nuke13–6-0.0614%28 Jul
ancient13–9-0.0115%27 Jul
ancient13–7-0.0231%27 Jul
nuke13–70.0521%27 Jul
cache8–130.0038%26 Jul
cache11–13-0.0318%26 Jul
ancient13–9-0.0312%26 Jul
anubis13–11-0.0617%26 Jul
cache10–13-0.0132%25 Jul
ancient11–130.0030%25 Jul
cache13–110.0116%25 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 →