ᴄʜɪᴄᴋᴇɴᴡᴇᴇᴅ

ᴄʜɪᴄᴋᴇɴᴡᴇᴇᴅ — CS2 Stats

76561198835244214[U:1:874978486]Steam profile ↗✓ No bans

597Tracked matches71%Win rate2022Tracked since
755Hours in CS1Hrs last 2 wks
CSDB Rating6.2 SolidPositional Player
Premier CS Rating24,999Top 25% of 204,793 CSDB-tracked playersPink band · top ~3% of ranked players (population est.)
CSDB Leaderboard#22031 of 251923 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Oct 2026 (8 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: 24,999 +17,873 27 Sept – 7 Oct · 25 days played
4,44725,363peak 25,36327 Sept7 Oct
25,512Peak Premier in tracked matches
48Days played since 2025-08-04

Premier CS Rating

  • 364 below peak (25,363)
  • +1,330 over 30 days · improving
  • Next: Red band at 25,000 — 1 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-17
  • Purple band first seen 2026-09-17

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
Matches7——
Win rate57%——
K/D0.70——
Headshot %64%——

Measured 17 Sep 2026 → 15 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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate43.5%46.9%49.3%5.7% short
Shot accuracy6.6%13.0%13.4%6.7% short
Kill/death ratio0.931.081.120.19 short
Match win rate51.1%46.7%48.5%above

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

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

Share this profile

CSDB.GGᴄʜɪᴄᴋᴇɴᴡᴇᴇᴅPREMIER24,999 · Pink 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

Aim79
Positioning50
Utility34

0–100 skill scores via Leetify.

Recent form

HOT51–45–4Last 10051%Win rateWLLLWWWWWW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +2.3pp headshot accuracy · +78ms 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 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 638ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 575ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 536ms

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 (+0.9 against its own average).

Aim7.9
Utility3.4
Positioning5.0
Opening Duels3.9

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: aim profile, opening-duel success.

Where you differ: lower positioning profile; 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 49% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.9
Positioning5.0
Utility3.4
Mechanics6.1
Opening Duels2.4
Win Impact10.0

Composite 6.2/10 (Solid), 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-0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time512ms−177ms
first ⅓ avg 688ms → last ⅓ avg 512ms
Headshot accuracy20.1%+6.2%
first ⅓ avg 13.8% → last ⅓ avg 20.1%

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

0.10Best match rating · 12–12 · anubis, 1 Mar →
38%Best headshot accuracy · 7–13 · anubis, 17 Aug →
328msFastest reaction time · 13–4 · anubis, 16 Aug →
13–1Biggest win · ancient, 22 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
8–4In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 80% over 5dust2Weakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoB2311–1248%-0.03
ancientS2114–767%0.00
anubisS1310–377%-0.01
mirageD102–820%-0.05
dust2D71–614%-0.04
nukeA74–357%-0.05
overpassD72–529%-0.02
cacheS54–180%0.01
train—20–20%-0.02
office—21–150%-0.08
vertigo—10–10%-0.07
warden—11–0100%-0.05
alpine—11–0100%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,461Lifetime kills
0.93K/D
1,093Matches
51.1%Match win rate · Top 25% of Pink band
43.5%Headshot %
6.6%Shot accuracy
1,884MVPs
406Hours (in match)
1,403Bombs planted
298Bombs defused

Most-used weapons

Lifetime map wins

1,852inferno
893vertigo
817dust2
660nuke
113train
33office
15lake
7assault

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.

20.5%Headshot accuracy
34.8%Accuracy (enemy spotted)
34.4%Spray accuracy
77.5%Counter-strafing
8.6°Preaim
512msReaction time
27.5%T opening success
49.1%CT opening success
0.49Enemies flashed / flash
8.6%Flash assists
12.60HE damage / grenade
2.26Flashes / 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 0.4901 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 27.539% — below the 40% mark we flag

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.

14% win rate across 7 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
cache13–90.0418%7 Oct →
dust21–13-0.0117%23 Sept →
cache4–13-0.0531%21 Sept →
mirage10–13-0.0615%20 Sept →
nuke13–70.1022%20 Sept →
nuke13–7-0.1111%20 Sept →
anubis13–70.0122%19 Sept →
cache8–10.0733%15 Sept →
anubis13–9-0.0118%15 Sept →
ancient13–10-0.0019%15 Sept →
ancient13–7-0.0311%8 Sept →
dust213–80.0320%26 Aug →
ancient7–130.0218%24 Aug →
ancient13–110.0213%23 Aug →
inferno11–13-0.0727%22 Aug →
ancient13–1-0.0116%22 Aug →
anubis13–10-0.0019%20 Aug →
cache13–90.0117%20 Aug →
anubis13–5-0.1222%18 Aug →
inferno15–150.0120%18 Aug →
mirage15–15-0.0335%18 Aug →
anubis7–13-0.0138%17 Aug →
inferno13–80.0128%17 Aug →
inferno16–120.0623%17 Aug →
dust26–13-0.0427%17 Aug →
inferno13–11-0.0125%17 Aug →
ancient16–130.0113%17 Aug →
ancient13–70.0814%17 Aug →
ancient13–90.0510%16 Aug →
anubis8–13-0.0718%16 Aug →
anubis13–40.0120%16 Aug →
anubis13–9-0.047%16 Aug →
anubis13–90.0515%15 Aug →
cache13–110.0021%15 Aug →
anubis13–110.0521%15 Aug →
mirage13–10-0.0732%15 Aug →
inferno13–16-0.0215%9 May →
mirage14–16-0.0620%3 May →
ancient13–11-0.0519%3 May →
nuke6–13-0.136%2 May →
mirage7–13-0.120%14 Apr →
inferno13–9-0.0324%4 Apr →
dust210–13-0.0513%4 Apr →
vertigo1–13-0.0711%4 Apr →
inferno13–8-0.0815%3 Apr →
mirage13–10-0.0313%3 Apr →
ancient13–7-0.0717%3 Apr →
warden13–8-0.0512%3 Apr →
alpine13–80.0414%2 Apr →
train10–13-0.0214%2 Apr →
dust28–13-0.0312%26 Mar →
office13–11-0.100%23 Mar →
ancient8–130.0317%23 Mar →
mirage2–13-0.056%14 Mar →
ancient13–11-0.0311%14 Mar →
office2–13-0.064%13 Mar →
dust21–13-0.0619%12 Mar →
ancient16–140.018%9 Mar →
inferno13–8-0.0817%7 Mar →
overpass13–6-0.0213%7 Mar →
inferno7–13-0.090%7 Mar →
overpass8–13-0.0110%3 Mar →
mirage8–13-0.0017%3 Mar →
inferno9–13-0.0619%3 Mar →
inferno7–13-0.065%2 Mar →
overpass6–13-0.0612%2 Mar →
inferno7–13-0.069%1 Mar →
anubis12–120.1014%1 Mar →
overpass8–13-0.083%1 Mar →
inferno15–15-0.0123%28 Feb →
ancient13–90.0113%27 Feb →
inferno13–3-0.025%27 Feb →
anubis16–13-0.036%27 Feb →
ancient9–13-0.0119%27 Feb →
nuke13–5-0.088%27 Feb →
mirage10–13-0.0315%27 Feb →
inferno6–13-0.028%27 Feb →
ancient7–13-0.0411%26 Feb →
inferno13–6-0.0323%26 Feb →
dust25–13-0.1115%26 Feb →
anubis13–50.0012%25 Feb →
nuke5–13-0.0220%25 Feb →
inferno13–4-0.037%23 Feb →
ancient8–13-0.0012%23 Feb →
mirage8–13-0.0616%22 Feb →
inferno13–80.0019%27 Sept →
ancient13–70.0618%27 Sept →
ancient13–30.0612%26 Sept →
overpass13–80.0515%26 Sept →
nuke13–8-0.0512%31 Aug →
overpass9–13-0.0617%26 Aug →
inferno14–16-0.0515%26 Aug →
inferno5–13-0.068%18 Aug →
overpass5–130.0113%15 Aug →
ancient11–13-0.0113%15 Aug →
train6–13-0.0217%9 Aug →
inferno16–130.0017%9 Aug →
ancient5–13-0.024%9 Aug →
nuke10–13-0.0619%7 Aug →
inferno5–13-0.0630%4 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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