Shawn

Shawn — CS2 Stats

76561199055047239[U:1:1094781511]Steam profile ↗✓ No bans

1,073Tracked matches52%Win rate2021Tracked since
1,800Hours in CS43Hrs last 2 wks
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating6,327Light Blue band · top ~72.5% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−394Premier CS Rating · 6,721 → 6,327

Rating over time

Premier CS Rating: 6,327 +1,328 25 Sept – 17 Oct · 15 days played
4,9998,221peak 8,22125 Sept17 Oct
8,946Peak Premier in tracked matches
22Days played since 2026-09-17

Premier CS Rating

  • 1,894 below peak (8,221)
  • Next: Blue band at 10,000 — 3,673 to go
  • Reached: Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches112——
Win rate55%——
K/D0.99——
Headshot %47%——

Measured 14 Sep 2026 → 17 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate46.2%39.9%42.0%above
Shot accuracy2.3%7.0%9.6%7.3% short
Kill/death ratio0.860.920.980.12 short
Match win rate42.2%42.3%43.8%1.6% short

This profile matches the typical Blue band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGShawnPREMIER6,327 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim64
Positioning64
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY53–43–4Last 10053%Win rateLLWLTWLWLW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +0.9pp headshot accuracy · −12ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 616ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 603ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 608ms

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 (+1.5 against its own average).

Aim6.4
Utility3.1
Positioning6.4
Opening Duels5.1

Limited 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

s1mple

Plays most like s1mple 89% 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. 590ms 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

Aim6.4
Positioning6.4
Utility3.1
Mechanics5.9
Opening Duels6.6
Win Impact5.6

Composite 5.2/10 (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 rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time613ms+43ms
first ⅓ avg 570ms → last ⅓ avg 613ms
Headshot accuracy19.3%+0.4%
first ⅓ avg 18.8% → last ⅓ avg 19.3%

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

0.13Best match rating · 13–10 · inferno, 4 Oct →
100%Best headshot accuracy · 0–5 · nuke, 8 Oct →
391msFastest reaction time · 8–13 · ancient, 8 Oct →
13–0Biggest win · ancient, 28 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
9–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 72% over 25anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2S2518–772%0.00
mirageB2210–1245%0.00
infernoB147–750%0.01
cacheB115–645%-0.01
nukeA106–460%-0.00
ancientC83–538%0.00
anubisD51–420%-0.00
office—31–233%-0.04
train—22–0100%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,790Lifetime kills
0.86K/D
1,861Matches
42.2%Match win rate
46.2%Headshot % · Top 25% of Light Blue band
2.3%Shot accuracy
3,393MVPs
789Hours (in match)
1,020Bombs planted
337Bombs defused

Most-used weapons

Lifetime map wins

2,639dust2
1,789inferno
1,710nuke
1,311vertigo
755train
339office
9lake
5cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.9%Headshot accuracy
34.9%Accuracy (enemy spotted)
32.9%Spray accuracy
76.3%Counter-strafing
9.6°Preaim
590msReaction time
55.2%T opening success
57.5%CT opening success
0.44Enemies flashed / flash
9.7%Flash assists
7.71HE damage / grenade
3.57Flashes / 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 0.4361 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient1–13-0.0824%17 Oct →
inferno8–13-0.0716%16 Oct →
mirage13–70.008%16 Oct →
inferno6–13-0.0914%16 Oct →
ancient15–150.0616%15 Oct →
ancient13–110.0422%15 Oct →
mirage11–13-0.0113%15 Oct →
nuke13–8-0.084%15 Oct →
mirage7–13-0.0118%14 Oct →
dust213–50.0227%14 Oct →
nuke16–120.0411%14 Oct →
mirage14–160.0214%14 Oct →
mirage13–6-0.0021%14 Oct →
nuke13–50.0213%14 Oct →
cache9–130.0221%14 Oct →
inferno13–10-0.0415%10 Oct →
cache4–13-0.0217%10 Oct →
anubis3–13-0.0416%10 Oct →
mirage13–40.0814%9 Oct →
mirage13–11-0.0510%9 Oct →
ancient13–50.0419%9 Oct →
dust212–30.0411%9 Oct →
nuke13–80.0524%9 Oct →
dust216–130.0512%9 Oct →
nuke8–13-0.0423%8 Oct →
dust28–0-0.0214%8 Oct →
ancient10–13-0.0116%8 Oct →
ancient8–13-0.0322%8 Oct →
nuke0–5-0.00100%8 Oct →
dust29–130.0327%8 Oct →
mirage2–130.0320%7 Oct →
train13–5-0.0114%7 Oct →
cache6–13-0.0518%7 Oct →
ancient10–130.024%6 Oct →
inferno15–150.0115%6 Oct →
inferno13–110.048%6 Oct →
anubis11–13-0.0215%6 Oct →
inferno13–100.1319%4 Oct →
inferno11–130.0311%3 Oct →
dust22–7-0.090%3 Oct →
mirage8–130.0216%3 Oct →
mirage9–130.0020%3 Oct →
dust24–13-0.035%3 Oct →
train13–90.0317%3 Oct →
dust26–13-0.0522%3 Oct →
cache13–11-0.0312%3 Oct →
inferno13–10.1015%3 Oct →
cache13–50.1112%3 Oct →
dust213–10-0.0918%3 Oct →
nuke9–13-0.0518%2 Oct →
mirage13–70.038%2 Oct →
dust213–50.1321%2 Oct →
cache13–110.0611%2 Oct →
mirage13–30.0824%2 Oct →
mirage13–30.0710%2 Oct →
dust213–5-0.0125%2 Oct →
mirage6–130.0514%2 Oct →
dust216–140.0411%28 Sept →
dust25–13-0.0122%28 Sept →
dust213–110.0526%28 Sept →
mirage11–13-0.0414%28 Sept →
anubis5–130.0412%28 Sept →
mirage10–130.0013%28 Sept →
dust213–50.0411%28 Sept →
ancient13–00.0111%28 Sept →
dust213–90.0214%27 Sept →
mirage6–13-0.067%27 Sept →
inferno4–13-0.0724%27 Sept →
dust213–7-0.0417%27 Sept →
inferno13–60.0524%27 Sept →
dust213–90.0521%27 Sept →
dust28–13-0.0315%27 Sept →
dust213–7-0.012%27 Sept →
mirage13–40.0521%26 Sept →
inferno15–15-0.0126%26 Sept →
inferno13–80.0516%26 Sept →
cache13–90.0318%26 Sept →
nuke13–50.0326%26 Sept →
inferno13–7-0.0427%25 Sept →
mirage13–6-0.0214%25 Sept →
dust213–80.1019%25 Sept →
inferno8–130.0213%25 Sept →
cache9–13-0.073%24 Sept →
dust212–12-0.078%24 Sept →
cache9–13-0.0725%24 Sept →
anubis13–80.0515%22 Sept →
nuke13–100.0413%22 Sept →
mirage8–11-0.0620%22 Sept →
office1–13-0.0437%22 Sept →
dust213–8-0.0321%20 Sept →
dust213–30.0329%20 Sept →
mirage6–13-0.0618%20 Sept →
office13–6-0.048%19 Sept →
nuke11–13-0.0325%18 Sept →
cache13–11-0.059%18 Sept →
office11–13-0.0532%18 Sept →
anubis1–9-0.0531%18 Sept →
cache8–13-0.0517%18 Sept →
mirage13–5-0.0514%17 Sept →
dust213–11-0.0413%17 Sept →

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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