russian S1mple

russian S1mple — CS2 Stats

CG76561199506860230[U:1:1546594502]Steam profile ↗✓ No bans

205Tracked matches50%Win rate2023Tracked since
139Hours in CS
CSDB Rating5.2 DevelopingClutch Specialist
Premier CS Rating18,667Top 50% of 194,975 CSDB-tracked playersPurple band · top ~13.8% of ranked players (population est.)
CSDB Leaderboard#96491 of 241675 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Aug 2026 (39 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 18 days played since 17 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 18,667 +2,170 19 Jul16 Aug · 17 days played
16,39319,331peak 19,33119 Jul16 Aug
19,685Peak Premier in tracked matches
18Days played since 2026-07-17

Premier CS Rating

  • 664 below peak (19,331)
  • +2,170 over 30 days · improving
  • Next: Pink band at 20,000 1,333 to go
  • Reached: Purple band · Blue band · Light Blue band

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 rate54.6%44.3%46.9%above
Shot accuracy4.9%11.8%13.0%8.1% short
Kill/death ratio1.051.031.080.03 short
Match win rate49.1%45.2%46.7%above

This profile matches the typical Pink band player on 2 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.GGrussian S1mplePREMIER18,667 · 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

Aim68
Positioning44
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY48475Last 10048%Win rateLWLLWLTWWW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +0.3pp headshot accuracy · +17ms 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

  • 23 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 653ms

Last 10

  • 541 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 574ms

Last 20

  • 1082 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 565ms

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: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+1.5 against its own average).

Aim6.8
Utility4.5
Positioning4.4
Opening Duels0.6
Clutch5.2

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

sh1ro

Plays most like sh1ro 88% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Reaction time. 558ms 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

Aim6.8
Positioning4.4
Utility4.5
Mechanics6.9
Opening Duels0.3
Win Impact5.0

Composite 5.2/10 (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 rating0.01+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time560ms+15ms
first ⅓ avg 545ms → last ⅓ avg 560ms
Headshot accuracy17.8%−3.5%
first ⅓ avg 21.3% → last ⅓ avg 17.8%

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

0.15Best match rating · 13–7 · dust2, 22 Jul
36%Best headshot accuracy · 13–7 · mirage, 26 Jul
344msFastest reaction time · 8–13 · anubis, 21 Jul
13–1Biggest win · inferno, 1 Aug

Across the last 100 tracked matches.

Highlights

5Longest win streak
57In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 59% over 17ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB25131252%-0.00
nukeA1710759%-0.00
infernoA1710759%0.02
cacheD1651131%0.01
dust2B126650%0.03
ancientD82625%-0.02
anubisC52340%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

5,731Lifetime kills
1.05K/D · Top 50% of Purple band
316Matches
49.1%Match win rate · Top 25% of Purple band
54.6%Headshot % · Top 25% of Purple band
4.9%Shot accuracy
788MVPs
139Hours (in match)
338Bombs planted
74Bombs defused

Most-used weapons

Lifetime map wins

548inferno
415nuke
397dust2
140vertigo
28train
24office
1ar_shoots

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

Faceit stats

Combat

19Matches
53%Win rate
1.01Avg K/D
72.0ADR
52%Headshot %

Clutches & streaks

46%1v1 clutch win
11%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage6100%1.3010.7
Anubis450%0.8813.5
Nuke367%1.3821.3
Inferno30%0.7613.3
Ancient20%0.427.0
Dust210%0.547.0

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.

18.1%Headshot accuracy
31.5%Accuracy (enemy spotted)
32.7%Spray accuracy
80.9%Counter-strafing
8.8°Preaim
558msReaction time
32.5%T opening success
29.4%CT opening success
0.68Enemies flashed / flash
7.2%Flash assists
9.29HE damage / grenade
4.20Flashes / 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 32.4576% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke4–13-0.0426%16 Aug
mirage13–50.0216%5 Aug
ancient10–130.0124%3 Aug
nuke8–13-0.0521%3 Aug
cache13–70.0214%2 Aug
cache8–130.0814%2 Aug
mirage15–150.0118%2 Aug
anubis13–90.0112%2 Aug
mirage13–110.0124%2 Aug
inferno13–10.0821%1 Aug
inferno13–50.1020%1 Aug
anubis15–150.0222%1 Aug
ancient5–130.0018%1 Aug
mirage16–140.0216%1 Aug
ancient10–130.0026%1 Aug
cache13–9-0.0317%1 Aug
dust23–13-0.0328%1 Aug
inferno13–11-0.0818%31 Jul
nuke13–10.0611%31 Jul
mirage8–13-0.0413%31 Jul
dust213–40.0715%31 Jul
nuke13–60.0521%31 Jul
cache10–130.0223%31 Jul
mirage13–10-0.0110%31 Jul
cache7–13-0.0117%31 Jul
mirage6–130.0119%31 Jul
dust214–16-0.0318%31 Jul
cache16–120.0712%31 Jul
dust210–13-0.0115%31 Jul
mirage10–130.0819%30 Jul
nuke14–160.0211%30 Jul
mirage5–13-0.0412%30 Jul
nuke13–100.0320%30 Jul
inferno6–13-0.0413%29 Jul
dust215–150.0320%29 Jul
mirage11–13-0.0912%29 Jul
ancient11–13-0.0711%28 Jul
nuke13–70.0212%28 Jul
cache13–9-0.0226%28 Jul
inferno13–90.0623%28 Jul
nuke13–4-0.0314%28 Jul
mirage2–130.0716%28 Jul
inferno10–13-0.0213%27 Jul
mirage5–130.0315%27 Jul
inferno13–80.0219%27 Jul
inferno5–130.0116%27 Jul
ancient13–90.0112%26 Jul
nuke13–40.0719%26 Jul
mirage13–7-0.0136%26 Jul
mirage13–9-0.0313%24 Jul
nuke13–30.0223%24 Jul
inferno4–13-0.0728%24 Jul
ancient13–5-0.0031%24 Jul
mirage15–15-0.0115%24 Jul
cache0–13-0.0812%24 Jul
dust213–100.0014%24 Jul
mirage13–20.0126%24 Jul
inferno8–13-0.0422%24 Jul
mirage13–40.0311%24 Jul
mirage13–110.0015%23 Jul
cache9–13-0.0418%23 Jul
nuke4–130.0327%23 Jul
nuke13–11-0.0228%23 Jul
mirage13–2-0.033%23 Jul
ancient15–15-0.0219%23 Jul
cache10–130.0316%23 Jul
nuke5–0-0.020%23 Jul
mirage13–4-0.0228%22 Jul
nuke5–12-0.0319%22 Jul
cache11–130.0119%22 Jul
mirage13–10.0413%22 Jul
dust213–70.1524%22 Jul
inferno13–80.0922%22 Jul
mirage2–13-0.0621%22 Jul
cache2–7-0.0222%21 Jul
inferno13–50.0324%21 Jul
cache10–20.0423%21 Jul
mirage7–130.0223%21 Jul
cache4–90.0126%21 Jul
inferno13–20.0720%21 Jul
inferno13–40.0722%21 Jul
anubis8–13-0.098%21 Jul
nuke2–13-0.0514%20 Jul
dust22–13-0.0424%20 Jul
dust211–130.0417%20 Jul
cache2–13-0.0023%20 Jul
dust213–60.0730%20 Jul
mirage13–90.0018%20 Jul
inferno2–8-0.0032%20 Jul
ancient6–13-0.0924%19 Jul
anubis13–2-0.0511%19 Jul
cache13–160.0517%19 Jul
nuke16–12-0.0019%19 Jul
inferno13–50.0220%19 Jul
inferno9–130.0014%17 Jul
anubis8–13-0.0031%17 Jul
dust28–40.0215%17 Jul
mirage14–16-0.0321%17 Jul
nuke3–13-0.1226%17 Jul
dust213–20.0728%17 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 →