Sharoman

Sharoman — CS2 Stats

BD76561198842378599[U:1:882112871]Steam profile ↗✓ No bans

661Tracked matches57%Win rate2020Tracked since
1,949Hours in CS0Hrs last 2 wks
CSDB Rating5.0 DevelopingPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 661 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Faceit ELO: 1,340 +0 30 Aug – 4 Nov · 5 observations
1,3401,340peak 1,34030 Aug4 Nov
1,340Highest Faceit ELO seen on CSDB
62Days played since 2023-06-15

Faceit ELO

  • At peak — 1,340
  • Next: Level 7 at 1,351 — 11 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-08-30
  • Level 5 first seen 2026-08-30

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

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CSDB.GGSharomanPEAK ELO1,340csdb.gg/stats

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Performance scores

Aim69
Positioning57
Utility27

0–100 skill scores via Leetify.

Recent form

STEADY54–46Last 10054%Win rateLWWLWLLWLW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +2.3pp headshot accuracy · −3ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 559ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 605ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 606ms

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 (+1.9 against its own average).

Aim6.9
Utility2.7
Positioning5.7
Opening Duels3.7
Clutch3.2

Strong T-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

donk

Plays most like donk 91% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 640ms 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

Aim6.9
Positioning5.7
Utility2.7
Mechanics7.1
Opening Duels1.4
Win Impact7.2

Composite 5.0/10 (Developing), 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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time615ms−38ms
first ⅓ avg 653ms → last ⅓ avg 615ms
Headshot accuracy19.8%+1.6%
first ⅓ avg 18.2% → last ⅓ avg 19.8%

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 · 13–4 · inferno, 2 Feb →
45%Best headshot accuracy · 5–16 · nuke, 19 Jul →
453msFastest reaction time · 8–13 · anubis, 22 Dec →
16–5Biggest win · vertigo, 27 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–9In matches decided by ≤2 rounds
51Overtime games

Map breakdown

nukeBest map · 74% over 23mirageWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
nukeS2317–674%0.01
vertigoC187–1139%-0.02
ancientA169–756%-0.02
mirageC145–936%-0.02
infernoA117–464%0.02
anubisC83–538%-0.02
overpassB63–350%-0.01
cache—22–0100%-0.03
train—11–0100%-0.02
italy—10–10%0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 14). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

94,436Lifetime kills
0.70K/D
2,168Matches
46.8%Match win rate · Top 50% of tracked players
66.4%Headshot % · Top 5% of tracked players
18.0%Shot accuracy · Top 10% of tracked players
9,791MVPs
2,752Hours (in match)
1,437Bombs planted
1,115Bombs defused

Most-used weapons

AK-4750,809
AWP4,907
MP91,562
FAMAS1,236
MAC-101,103

Lifetime map wins

4,679nuke
4,615vertigo
3,873inferno
1,764train
1,092dust2
64lake
32office
21safehouse

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

Faceit stats

Combat

524Matches
52%Win rate
0.92Avg K/D
73.4ADR
50%Headshot %

Clutches & streaks

36%1v1 clutch win
14%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient5062%0.9214.2
Nuke2857%1.0415.5
Anubis2748%0.9015.3
Mirage2536%0.8013.5
Vertigo2438%0.9214.7
Inferno1850%1.0114.1
Dust21540%0.7714.0
Overpass862%1.0314.5

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.

20.3%Headshot accuracy
35.3%Accuracy (enemy spotted)
37.6%Spray accuracy
81.9%Counter-strafing
10.3°Preaim
640msReaction time
37.1%T opening success
33.9%CT opening success
0.63Enemies flashed / flash
3.4%Flash assists
8.40HE damage / grenade
5.33Flashes / 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 37.1444% — 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.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.0127%14 Aug →
train13–3-0.0216%14 Aug →
vertigo13–110.0626%4 Aug →
mirage11–13-0.0516%4 Aug →
cache13–9-0.0110%13 Jun →
overpass4–13-0.047%25 May →
anubis6–13-0.0422%25 May →
cache13–11-0.0426%24 May →
ancient6–13-0.0921%19 May →
nuke13–60.0420%18 May →
anubis11–13-0.065%16 May →
nuke4–130.000%31 Mar →
overpass13–90.0614%22 Dec →
anubis13–9-0.0515%9 Apr →
nuke13–40.0113%7 Apr →
nuke13–80.0324%3 Apr →
nuke13–9-0.0027%3 Apr →
inferno5–13-0.0230%2 Apr →
ancient13–3-0.0022%2 Apr →
mirage19–170.0217%11 Mar →
ancient5–13-0.0423%11 Mar →
inferno13–80.0728%6 Mar →
inferno8–130.0116%23 Feb →
ancient9–13-0.0430%20 Feb →
inferno13–10-0.0112%20 Feb →
mirage13–16-0.0520%15 Feb →
anubis16–120.0219%5 Feb →
inferno13–40.0833%2 Feb →
ancient4–130.0129%2 Feb →
nuke13–70.0426%16 Jan →
nuke13–100.0220%5 Jan →
italy8–130.0816%15 Oct →
nuke6–130.0724%15 Oct →
vertigo11–13-0.0131%19 Jun →
vertigo13–10-0.0412%10 Jun →
nuke13–70.0624%1 Apr →
inferno13–110.0124%1 Mar →
mirage2–13-0.0412%22 Feb →
mirage7–13-0.0412%27 Dec →
ancient19–170.0112%27 Dec →
mirage13–9-0.0117%27 Dec →
mirage10–13-0.0417%26 Dec →
vertigo8–13-0.0521%26 Dec →
vertigo13–11-0.0418%22 Dec →
anubis8–130.0319%22 Dec →
ancient13–80.0121%22 Dec →
vertigo11–13-0.0028%9 Dec →
vertigo10–13-0.0634%9 Dec →
vertigo16–120.0314%2 Dec →
vertigo4–13-0.039%2 Dec →
ancient13–3-0.076%2 Dec →
inferno13–100.0144%17 Nov →
overpass13–10-0.0038%17 Nov →
anubis10–13-0.0627%29 Oct →
ancient2–16-0.0721%14 Aug →
overpass11–16-0.0625%14 Aug →
anubis16–60.0127%11 Aug →
mirage16–90.0317%11 Aug →
mirage16–13-0.0126%10 Aug →
nuke16–19-0.0223%9 Aug →
ancient16–8-0.0111%8 Aug →
inferno16–90.0517%8 Aug →
vertigo14–16-0.0724%8 Aug →
nuke10–160.0226%8 Aug →
anubis11–16-0.0321%19 Jul →
nuke5–16-0.0745%19 Jul →
mirage12–16-0.0315%17 Jul →
vertigo6–16-0.089%17 Jul →
ancient16–10-0.0514%16 Jul →
inferno16–10-0.0119%13 Jul →
nuke16–190.0213%12 Jul →
mirage14–160.0123%12 Jul →
ancient16–60.0417%11 Jul →
nuke19–150.0020%11 Jul →
vertigo8–16-0.059%10 Jul →
vertigo16–11-0.0119%8 Jul →
nuke16–120.0118%8 Jul →
ancient16–10-0.0113%7 Jul →
vertigo16–19-0.0115%5 Jul →
nuke16–120.0113%5 Jul →
nuke16–90.0518%5 Jul →
inferno14–160.0228%4 Jul →
nuke16–120.0125%4 Jul →
nuke16–11-0.0214%4 Jul →
inferno12–160.0523%4 Jul →
ancient7–16-0.0230%3 Jul →
mirage16–130.0325%3 Jul →
overpass16–80.0220%2 Jul →
ancient16–130.0511%2 Jul →
nuke16–13-0.0616%1 Jul →
vertigo14–16-0.0015%1 Jul →
nuke16–70.0316%28 Jun →
vertigo16–50.0113%27 Jun →
ancient8–16-0.1131%26 Jun →
mirage13–16-0.0321%22 Jun →
vertigo9–15-0.0217%19 Jun →
nuke16–90.0024%19 Jun →
vertigo16–140.0223%19 Jun →
nuke19–17-0.0612%18 Jun →
overpass5–16-0.0220%15 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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