S1mple

S1mple — CS2 Stats

EE76561198747112112[U:1:786846384]Steam profile ↗✓ No bans

467Tracked matches31%Win rate2026Tracked since
541Hours in CS5Hrs last 2 wks
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating15,132Purple band · top ~27.9% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (25 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: 15,132 -2,398 8 Aug – 11 Oct · 21 days played
15,13218,893peak 18,8938 Aug11 Oct
19,208Peak Premier in tracked matches
34Days played since 2026-07-26

Premier CS Rating

  • 3,761 below peak (18,893)
  • -2,770 over 30 days · declining
  • Next: Pink band at 20,000 — 4,868 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-20
  • Blue band first seen 2026-09-20

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=37,767), 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 rate57.1%44.4%46.9%above
Shot accuracy0.0%11.9%13.0%13.0% short
Kill/death ratio1.141.031.08above
Match win rate54.1%45.2%46.7%above

This profile matches the typical Pink band player on 3 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.GGS1mplePREMIER15,132 · Purple bandcsdb.gg/stats

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Performance scores

Aim82
Positioning55
Utility22

0–100 skill scores via Leetify.

Recent form

COLD41–50–9Last 10041%Win rateLWLWLLLLLL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −11.2pp headshot accuracy · −19ms reaction

Win rate 0pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 564ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 554ms

Last 20

  • 4–15–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 563ms

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 (+1.7 against its own average).

Aim8.2
Utility2.2
Positioning5.5
Opening Duels3.8

Strong CT-side openerLimited 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

donk

Plays most like donk 89% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

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.

T-side openings. Opening success drops from 57% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 561ms 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

Aim8.2
Positioning5.5
Utility2.2
Mechanics6.4
Opening Duels4.9
Win Impact0.0

Composite 5.3/10 (Developing), 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-0.03−0.05
first ⅓ avg 0.02 → last ⅓ avg -0.03
Reaction time537ms−43ms
first ⅓ avg 580ms → last ⅓ avg 537ms
Headshot accuracy25.5%−0.9%
first ⅓ avg 26.4% → last ⅓ avg 25.5%

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

0.31Best match rating · 9–1 · inferno, 26 Jul →
48%Best headshot accuracy · 13–2 · dust2, 29 Aug →
375msFastest reaction time · 0–5 · dust2, 10 Oct →
13–0Biggest win · dust2, 23 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
9–4In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 50% over 46infernoWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
dust2B4623–2350%0.00
infernoD143–1121%0.01
mirageD113–827%-0.00
nukeB105–550%0.03
ancientD72–529%0.01
anubisC52–340%-0.03
cache—41–325%-0.05
office—21–150%0.01
vertigo—11–0100%0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,854Lifetime kills
1.14K/D · Top 50% of Purple band
590Matches
54.1%Match win rate · Top 5% of Purple band
57.1%Headshot % · Top 10% of Purple band
0.0%Shot accuracy
1,881MVPs
383Hours (in match)
584Bombs planted
127Bombs defused

Most-used weapons

Lifetime map wins

1,665dust2
795nuke
714inferno
183office
125vertigo
48train
33italy

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.

26.4%Headshot accuracy
34.5%Accuracy (enemy spotted)
37.2%Spray accuracy
79.0%Counter-strafing
8.9°Preaim
561msReaction time
42.1%T opening success
57.2%CT opening success
0.30Enemies flashed / flash
3.3%Flash assists
2.73HE damage / grenade
4.02Flashes / 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 0.3035 — 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.

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–13-0.077%27 Oct →
cache13–110.0019%27 Oct →
inferno6–9-0.0526%27 Oct →
inferno9–60.0412%27 Oct →
ancient8–130.0015%26 Oct →
dust210–13-0.0233%23 Oct →
dust28–13-0.0117%23 Oct →
dust25–13-0.0911%23 Oct →
dust26–13-0.0422%16 Oct →
dust22–13-0.0826%11 Oct →
inferno2–13-0.0618%11 Oct →
ancient8–130.0345%11 Oct →
mirage11–13-0.0219%10 Oct →
anubis1–13-0.0842%10 Oct →
dust20–5-0.0427%10 Oct →
inferno8–80.1332%10 Oct →
dust27–130.0118%3 Oct →
nuke13–90.0142%3 Oct →
ancient7–13-0.0527%2 Oct →
dust213–8-0.0228%2 Oct →
dust216–13-0.0431%2 Oct →
dust213–70.0539%2 Oct →
dust22–13-0.0633%2 Oct →
inferno5–13-0.0132%2 Oct →
inferno9–6-0.1318%26 Sept →
ancient13–9-0.0413%26 Sept →
dust213–90.1131%26 Sept →
cache8–13-0.0538%25 Sept →
inferno3–9-0.109%20 Sept →
anubis13–4-0.0328%20 Sept →
dust213–4-0.0441%20 Sept →
mirage7–13-0.1042%19 Sept →
mirage0–13-0.070%19 Sept →
dust212–12-0.0815%15 Sept →
inferno6–9-0.0918%15 Sept →
mirage1–13-0.1233%11 Sept →
mirage2–130.0125%11 Sept →
dust213–110.0441%10 Sept →
ancient14–160.0624%9 Sept →
dust213–100.0526%9 Sept →
cache8–13-0.094%6 Sept →
nuke5–130.0924%6 Sept →
nuke16–14-0.029%5 Sept →
mirage9–130.0829%5 Sept →
dust213–20.0935%5 Sept →
dust27–130.0737%4 Sept →
dust28–13-0.0224%4 Sept →
office12–12-0.0216%4 Sept →
office13–70.0532%4 Sept →
dust210–130.0130%30 Aug →
anubis8–13-0.0236%30 Aug →
mirage15–150.0322%29 Aug →
anubis13–60.0426%29 Aug →
dust26–13-0.0418%29 Aug →
ancient11–130.0818%29 Aug →
dust25–130.0336%29 Aug →
dust213–100.0919%29 Aug →
dust213–20.0848%29 Aug →
nuke13–90.1024%29 Aug →
inferno0–13-0.0342%29 Aug →
dust213–80.0929%28 Aug →
nuke7–130.0030%23 Aug →
dust213–00.0122%23 Aug →
anubis5–13-0.0411%14 Aug →
dust213–8-0.0122%14 Aug →
nuke14–160.0316%14 Aug →
dust213–110.0725%14 Aug →
dust213–100.0731%13 Aug →
mirage6–13-0.0232%13 Aug →
nuke1–13-0.0313%13 Aug →
dust213–110.0529%9 Aug →
nuke13–90.0733%9 Aug →
dust25–130.0036%8 Aug →
ancient13–11-0.0014%8 Aug →
dust213–110.0329%8 Aug →
dust25–0-0.1217%8 Aug →
mirage16–140.0633%8 Aug →
nuke13–110.0119%8 Aug →
dust213–5-0.0414%8 Aug →
mirage16–120.0826%7 Aug →
inferno6–90.0318%5 Aug →
dust21–130.0446%5 Aug →
dust212–12-0.0129%2 Aug →
dust22–130.0125%2 Aug →
dust25–13-0.0619%2 Aug →
inferno9–13-0.0022%2 Aug →
dust28–130.0233%2 Aug →
nuke12–120.0138%1 Aug →
vertigo13–70.0636%1 Aug →
dust213–10.1030%1 Aug →
inferno12–120.0432%1 Aug →
mirage13–90.0128%1 Aug →
dust28–0-0.076%1 Aug →
dust213–40.0630%1 Aug →
dust213–5-0.0039%1 Aug →
dust212–120.0123%29 Jul →
dust24–13-0.0531%29 Jul →
dust210–13-0.0210%28 Jul →
inferno8–80.0519%26 Jul →
inferno9–10.3133%26 Jul →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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