SharP

SharP — CS2 Stats

76561198006470251[U:1:46204523]Steam profile ↗✓ No bans

1,246Tracked matches47%Win rate2023Tracked since
CSDB Rating5.0 DevelopingSupport
Premier CS Rating21,507Top 50% of 213,211 CSDB-tracked playersPink band · top ~6.8% of ranked players (population est.)
CSDB Leaderboard#63430 of 259953 tracked
FaceitLevel 6 · 1,591 ELOTop 54.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (5 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: 21,507 +4,410 28 Jul – 31 Oct · 20 days played
17,09721,507peak 21,50728 Jul31 Oct
Faceit ELO: 1,591 +0 1 Sept – 22 Sept · 5 observations
1,5911,591peak 1,5911 Sept22 Sept
21,729Peak Premier in tracked matches
1,591Highest Faceit ELO seen on CSDB
36Days played since 2026-07-20

Faceit ELO

  • At peak — 1,591
  • Next: Level 9 at 1,751 — 160 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-01
  • Level 7 first seen 2026-09-01

Premier CS Rating

  • At peak — 21,507
  • +158 over 30 days · steady
  • +4,410 over 90 days
  • Next: Red band at 25,000 — 3,493 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-18
  • Purple 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. 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.

Share this profile

CSDB.GGSharPFACEITLevel 6 · 1,591 ELOSTANDINGTop 54.0% of rankedPREMIER21,507 · Pink bandPEAK ELO1,591csdb.gg/stats

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Performance scores

Aim39
Positioning56
Utility80

0–100 skill scores via Leetify.

Recent form

STEADY48–48–4Last 10048%Win rateLWLLWLWWWL

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −1.4pp headshot accuracy · −26ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 11%
  • Avg reaction 652ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 594ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 607ms

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 (+3 against its own average).

Aim3.9
Utility8.0
Positioning5.6
Opening Duels2.3
Clutch4.0

Effective flashesHigh utility contribution

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 54% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: higher 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

Strengths

Utility. Utility score of 80 — grenade impact well above the norm.

Areas to improve

Reaction time. 581ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.9
Positioning5.6
Utility8.0
Mechanics3.6
Opening Duels4.5
Win Impact3.9

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time585ms−73ms
first ⅓ avg 657ms → last ⅓ avg 585ms
Headshot accuracy14.9%−2.7%
first ⅓ avg 17.6% → last ⅓ avg 14.9%

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

0.23Best match rating · 9–6 · inferno, 25 Jul →
38%Best headshot accuracy · 4–1 · anubis, 4 Sept →
406msFastest reaction time · 5–13 · nuke, 27 Aug →
13–1Biggest win · dust2, 26 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–12In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 68% over 22dust2Weakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
ancientS2215–768%0.00
infernoB1910–953%0.01
nukeC198–1142%-0.01
anubisB136–746%-0.02
cacheB136–746%-0.01
dust2D102–820%-0.01
vertigo—21–150%0.02
mirage—10–10%-0.13
office—10–10%-0.01

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.

Faceit stats

Combat

149Matches
52%Win rate
1.04Avg K/D
78.4ADR
43%Headshot %

Clutches & streaks

40%1v1 clutch win
25%1v2 clutch win
15Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient4661%1.0213.5
Inferno1953%1.0614.8
Anubis1735%0.9214.5
Nuke1753%1.2017.0
Cache1547%0.8913.8
Overpass1127%1.1513.6
Dust21145%0.9814.1
Mirage650%1.1213.5

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.

14.3%Headshot accuracy
31.4%Accuracy (enemy spotted)
37.3%Spray accuracy
66.3%Counter-strafing
13.3°Preaim
581msReaction time
55.2%T opening success
40.6%CT opening success
0.75Enemies flashed / flash
15.4%Flash assists
13.02HE damage / grenade
8.08Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.3034° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.3198% — below the 15% mark we flag

    Aim Training →
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
mirage2–13-0.135%31 Oct →
ancient13–100.0512%31 Oct →
dust24–13-0.0717%31 Oct →
inferno11–13-0.0412%31 Oct →
nuke13–9-0.0511%31 Oct →
nuke14–16-0.0116%23 Oct →
anubis13–10-0.0113%23 Oct →
inferno13–90.0517%19 Oct →
ancient13–60.0613%19 Oct →
anubis5–13-0.0522%19 Oct →
cache13–16-0.0119%18 Oct →
ancient10–13-0.0212%18 Oct →
inferno13–4-0.0411%18 Oct →
nuke14–160.0223%18 Oct →
dust26–13-0.0423%11 Oct →
nuke4–130.0613%10 Oct →
ancient11–13-0.0317%2 Oct →
nuke18–22-0.0114%2 Oct →
nuke13–11-0.0415%28 Sept →
inferno13–10-0.004%28 Sept →
dust29–13-0.0112%28 Sept →
ancient13–40.0219%27 Sept →
inferno13–100.0214%27 Sept →
ancient1–13-0.077%26 Sept →
ancient13–7-0.0411%20 Sept →
dust21–13-0.0511%19 Sept →
inferno13–6-0.0120%13 Sept →
ancient13–11-0.049%6 Sept →
inferno11–13-0.0520%6 Sept →
anubis13–11-0.0212%6 Sept →
dust212–120.0223%6 Sept →
cache11–13-0.0224%6 Sept →
inferno9–13-0.0123%4 Sept →
nuke13–9-0.0316%4 Sept →
anubis4–10.1038%4 Sept →
nuke13–90.0913%4 Sept →
ancient13–30.0013%4 Sept →
inferno13–20.0821%4 Sept →
inferno13–50.0622%1 Sept →
cache11–13-0.0429%30 Aug →
vertigo13–6-0.046%30 Aug →
ancient13–90.0715%30 Aug →
anubis12–16-0.078%30 Aug →
cache3–13-0.0416%30 Aug →
ancient8–13-0.0511%30 Aug →
ancient13–7-0.016%30 Aug →
cache19–150.0116%30 Aug →
ancient13–70.0721%28 Aug →
nuke5–13-0.045%27 Aug →
cache13–60.049%27 Aug →
inferno12–120.0521%26 Aug →
cache8–13-0.0322%19 Aug →
ancient8–13-0.0120%19 Aug →
inferno4–13-0.0326%17 Aug →
nuke13–4-0.0212%17 Aug →
nuke8–13-0.056%17 Aug →
dust213–7-0.0124%16 Aug →
ancient13–100.0411%15 Aug →
inferno13–70.0315%15 Aug →
cache10–13-0.0215%14 Aug →
ancient13–8-0.0018%14 Aug →
nuke8–13-0.0716%14 Aug →
inferno4–13-0.0511%14 Aug →
ancient13–90.0213%12 Aug →
anubis13–100.039%12 Aug →
inferno7–13-0.0412%9 Aug →
anubis13–5-0.056%9 Aug →
cache13–80.0217%8 Aug →
nuke10–13-0.0123%8 Aug →
ancient10–13-0.0716%8 Aug →
nuke13–10-0.0013%8 Aug →
ancient13–100.0918%8 Aug →
cache3–13-0.0917%8 Aug →
anubis11–13-0.0119%8 Aug →
dust210–130.0231%8 Aug →
nuke1–13-0.0815%8 Aug →
anubis1–13-0.0515%7 Aug →
inferno16–14-0.0318%7 Aug →
anubis13–10-0.0319%7 Aug →
nuke16–120.0221%28 Jul →
cache13–80.0325%28 Jul →
anubis11–13-0.0311%27 Jul →
dust211–13-0.0023%27 Jul →
inferno10–130.0212%27 Jul →
dust29–13-0.0223%26 Jul →
nuke3–12-0.0223%26 Jul →
anubis7–13-0.0718%26 Jul →
ancient15–15-0.0420%26 Jul →
cache13–30.0228%26 Jul →
nuke13–20.0613%26 Jul →
anubis12–16-0.0316%26 Jul →
dust213–10.027%26 Jul →
vertigo8–80.0817%25 Jul →
nuke7–9-0.0020%25 Jul →
inferno9–60.2318%25 Jul →
inferno11–13-0.029%24 Jul →
cache13–8-0.0213%24 Jul →
ancient13–30.0715%24 Jul →
office10–13-0.0116%21 Jul →
ancient13–11-0.0210%20 Jul →

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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