Sharpz

Sharpz — CS2 Stats

GB76561198273662963[U:1:313397235]Steam profile ↗✓ No bans

1,137Tracked matches43%Win rate2023Tracked since
1,912Hours in CS38Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
Premier CS Rating19,649Top 50% of 201,197 CSDB-tracked playersPurple band · top ~9.9% of ranked players (population est.)
CSDB Leaderboard#86388 of 247993 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Oct 2026 (yesterday). 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: 19,649 +2,587 20 Aug – 2 Oct · 19 days played
17,06220,923peak 20,92320 Aug2 Oct
21,029Peak Premier in tracked matches
29Days played since 2026-08-20

Premier CS Rating

  • 1,274 below peak (20,923)
  • -240 over 30 days · steady
  • Next: Pink band at 20,000 — 351 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

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 Level 8 among CSDB-tracked players (n=14,773), 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 8 medianLevel 9 medianvs Level 9
Headshot rate59.8%46.8%48.2%above
Shot accuracy2.8%13.0%13.3%10.4% short
Kill/death ratio1.531.061.07above
Match win rate50.6%46.3%46.9%above

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSharpzFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER19,649 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim74
Positioning66
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY49–40–11Last 10049%Win rateWLWTWLLWWL

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · −3.4pp headshot accuracy · −8ms reaction

Win rate up 30pp 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 483ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 520ms

Last 20

  • 7–10–3 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 523ms

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 (+1.6 against its own average).

Aim7.4
Utility4.6
Positioning6.6
Opening Duels3.9
Clutch5.0

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 90% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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

Aim7.4
Positioning6.6
Utility4.6
Mechanics5.9
Opening Duels4.2
Win Impact2.6

Composite 5.8/10 (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-0.00−0.04
first ⅓ avg 0.03 → last ⅓ avg -0.00
Reaction time534ms+23ms
first ⅓ avg 511ms → last ⅓ avg 534ms
Headshot accuracy20.8%−2.6%
first ⅓ avg 23.4% → last ⅓ avg 20.8%

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

0.25Best match rating · 8–8 · inferno, 8 Sept →
50%Best headshot accuracy · 9–7 · inferno, 8 Sept →
344msFastest reaction time · 9–6 · inferno, 30 Sept →
13–2Biggest win · cache, 1 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 64% over 11infernoWeakest map · 44% over 32
MapGradePlayedRecordWin rateAvg rating
infernoC3214–1844%0.02
nukeB178–947%0.06
anubisB179–853%0.03
cacheA117–464%0.05
dust2C94–544%0.03
mirageA85–363%0.00
ancient—31–233%0.03
vertigo—31–233%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (44% over 32). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

39,735Lifetime kills
1.53K/D · Top 5% of Level 8 players
1,571Matches
50.6%Match win rate · Top 25% of Level 8 players
59.8%Headshot % · Top 10% of Level 8 players
2.8%Shot accuracy
4,495MVPs
584Hours (in match)
1,629Bombs planted
594Bombs defused

Most-used weapons

Lifetime map wins

2,907dust2
2,771inferno
2,527nuke
477vertigo
136office
95train
24lake
8cbble

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

Faceit stats

Combat

78Matches
56%Win rate
1.30Avg K/D
87.2ADR
51%Headshot %

Clutches & streaks

45%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2070%1.2917.4
Anubis1856%1.3619.6
Inferno1450%1.3518.0
Dust21050%1.2317.1
Cache743%1.0317.4
Vertigo475%1.6620.0
Ancient30%1.1218.7
Nuke2100%1.1819.5

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.

19.4%Headshot accuracy
33.2%Accuracy (enemy spotted)
34.5%Spray accuracy
76.5%Counter-strafing
9.4°Preaim
504msReaction time
48.2%T opening success
45.1%CT opening success
0.35Enemies flashed / flash
2.7%Flash assists
9.92HE damage / grenade
6.31Flashes / 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 0.3474 — below the 0.5 mark we flag

    Grenade Lineups →
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.

44% win rate across 32 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache16–130.0518%2 Oct →
inferno8–130.009%1 Oct →
nuke9–7-0.0323%1 Oct →
nuke8–80.0721%1 Oct →
nuke9–50.1220%1 Oct →
inferno6–9-0.1116%1 Oct →
inferno5–9-0.1429%30 Sept →
nuke9–5-0.029%30 Sept →
inferno9–60.1631%30 Sept →
inferno5–9-0.150%30 Sept →
anubis8–130.0211%23 Sept →
anubis13–60.0522%22 Sept →
inferno3–9-0.0532%22 Sept →
inferno8–80.0533%21 Sept →
nuke8–8-0.0823%21 Sept →
cache5–13-0.029%20 Sept →
ancient11–13-0.0715%20 Sept →
inferno6–90.0024%20 Sept →
mirage13–50.0927%19 Sept →
anubis9–130.0616%19 Sept →
inferno8–80.0226%17 Sept →
inferno8–8-0.0843%17 Sept →
anubis12–120.0928%17 Sept →
dust212–160.0322%17 Sept →
anubis10–13-0.0415%14 Sept →
nuke9–130.0319%11 Sept →
dust213–100.0317%11 Sept →
vertigo4–9-0.1124%11 Sept →
anubis9–13-0.0215%10 Sept →
mirage15–15-0.0230%10 Sept →
nuke7–9-0.0613%10 Sept →
nuke9–60.1624%10 Sept →
inferno2–9-0.1222%10 Sept →
inferno9–1-0.0240%9 Sept →
inferno9–50.0713%9 Sept →
inferno8–80.2517%8 Sept →
inferno9–40.1222%8 Sept →
inferno9–70.0350%8 Sept →
inferno9–50.0629%8 Sept →
nuke8–80.2126%7 Sept →
inferno13–110.0525%6 Sept →
anubis9–130.0715%6 Sept →
nuke9–130.0513%5 Sept →
inferno7–13-0.0421%5 Sept →
cache13–90.0820%5 Sept →
ancient13–80.1030%4 Sept →
mirage13–40.0117%4 Sept →
dust210–13-0.0119%4 Sept →
cache13–60.0825%4 Sept →
anubis13–60.1026%4 Sept →
dust29–13-0.0312%4 Sept →
nuke6–130.0019%4 Sept →
nuke7–90.047%4 Sept →
inferno9–60.0426%4 Sept →
inferno9–10.257%4 Sept →
cache9–13-0.0024%2 Sept →
anubis13–110.0319%2 Sept →
anubis13–40.0218%2 Sept →
nuke9–70.1613%2 Sept →
inferno4–90.0023%2 Sept →
inferno8–80.1429%2 Sept →
inferno9–40.1129%2 Sept →
cache13–20.1323%1 Sept →
nuke13–40.1019%1 Sept →
anubis11–130.0113%31 Aug →
inferno13–100.0320%31 Aug →
mirage4–130.0019%31 Aug →
dust214–16-0.0112%31 Aug →
mirage13–10-0.0328%31 Aug →
nuke10–130.0732%31 Aug →
anubis13–4-0.0220%31 Aug →
dust213–110.1130%30 Aug →
anubis13–60.0413%30 Aug →
cache15–150.0217%30 Aug →
mirage13–80.004%30 Aug →
inferno6–13-0.0424%30 Aug →
cache4–130.0417%30 Aug →
anubis13–100.0519%30 Aug →
vertigo13–160.0621%29 Aug →
vertigo13–60.0819%29 Aug →
inferno7–130.0023%29 Aug →
dust24–130.0743%29 Aug →
cache13–70.0026%29 Aug →
cache13–70.0926%29 Aug →
inferno13–40.0421%29 Aug →
ancient9–130.0719%28 Aug →
nuke9–60.1023%27 Aug →
inferno9–70.0427%27 Aug →
mirage11–13-0.0228%27 Aug →
dust216–130.0719%26 Aug →
mirage13–11-0.0133%26 Aug →
cache13–70.1316%26 Aug →
inferno2–9-0.1650%26 Aug →
inferno10–130.0331%25 Aug →
inferno13–20.1515%25 Aug →
anubis13–110.0625%25 Aug →
dust213–100.0120%25 Aug →
nuke13–80.0519%24 Aug →
anubis13–8-0.0521%24 Aug →
anubis9–130.0531%20 Aug →

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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