sKeeTeR

sKeeTeR — CS2 Stats

76561198151171460[U:1:190905732]Steam profile ↗✓ No bans

76Tracked matches50%Win rate2020Tracked since
301Hours in CS7Hrs last 2 wks
CSDB Rating6.6 SolidSupport
Premier CS Rating23,835Top 25% of 205,416 CSDB-tracked playersPink band · top ~4.3% of ranked players (population est.)
CSDB Leaderboard#32865 of 252461 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (5 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: 23,835 +6,732 24 Dec – 12 Oct · 11 days played
16,81523,835peak 23,83524 Dec12 Oct
23,835Peak Premier in tracked matches
22Days played since 2020-11-11

Premier CS Rating

  • At peak — 23,835
  • +4,347 over 90 days
  • Next: Red band at 25,000 — 1,165 to go
  • Reached: Pink band · 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 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 rate38.2%46.9%49.3%11.0% short
Shot accuracy17.3%13.0%13.4%above
Kill/death ratio1.631.081.12above
Match win rate51.9%46.7%48.5%above

This profile matches the typical Red band player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. 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.GGsKeeTeRPREMIER23,835 · Pink bandcsdb.gg/stats

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Performance scores

Aim78
Positioning59
Utility60

0–100 skill scores via Leetify.

Recent form

HOT43–30–3Last 7657%Win rateWWWWWWLLLW

Last 10 vs previous 10: +50pp win rate · +0.06 avg rating · −3.4pp headshot accuracy · −4ms reaction

Win rate up 50pp 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

  • 5–0 · 100% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 13%
  • Avg reaction 464ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 12%
  • Avg reaction 491ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 493ms

Newest first, from the last 76 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.3 against its own average).

Aim7.8
Utility6.0
Positioning5.9
Opening Duels2.3

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

ZywOo

Plays most like ZywOo 93% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

CT openings. Opening success drops from 53% on T to 36% on CT — first contacts on the defending side are being lost.

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

Aim7.8
Positioning5.9
Utility6.0
Mechanics7.6
Opening Duels3.7
Win Impact5.0

Composite 6.6/10 (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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time504ms−112ms
first ⅓ avg 615ms → last ⅓ avg 504ms
Headshot accuracy13.1%−2.5%
first ⅓ avg 15.7% → last ⅓ avg 13.1%

Rolling 5-match average across the last 76 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.15Best match rating · 13–6 · nuke, 11 Oct →
33%Best headshot accuracy · 8–13 · nuke, 18 Apr →
328msFastest reaction time · 13–3 · nuke, 30 Sept →
13–2Biggest win · mirage, 2 Oct →

Across the last 76 tracked matches.

Highlights

11Longest win streak
W6Current streak
6–1In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 75% over 12dust2Weakest map · 47% over 15
MapGradePlayedRecordWin rateAvg rating
mirageA1610–663%0.02
dust2B157–847%0.02
ancientS129–375%0.03
infernoA116–555%0.04
nukeA95–456%0.05
cacheA53–260%0.03
overpassA53–260%-0.01
anubis—20–20%-0.03
train—10–10%-0.05

Across the last 76 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (47% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,736Lifetime kills
1.63K/D · Top 5% of Pink band
387Matches
51.9%Match win rate · Top 25% of Pink band
38.2%Headshot %
17.3%Shot accuracy · Top 25% of Pink band
1,125MVPs
168Hours (in match)
437Bombs planted
146Bombs defused

Most-used weapons

Lifetime map wins

1,554dust2
591inferno
174nuke
139cbble
16dust
11train
7office
4ar_baggage

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.

13.3%Headshot accuracy
35.6%Accuracy (enemy spotted)
36.2%Spray accuracy
84.1%Counter-strafing
8.0°Preaim
514msReaction time
53.2%T opening success
36.5%CT opening success
0.63Enemies flashed / flash
7.0%Flash assists
8.57HE damage / grenade
8.86Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.2753% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.4648% — 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.

47% win rate across 15 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
cache13–40.0710%12 Oct →
mirage13–60.1018%11 Oct →
dust213–9-0.0312%11 Oct →
inferno13–110.0914%11 Oct →
ancient13–80.0410%11 Oct →
nuke13–60.1517%11 Oct →
ancient8–130.0417%5 Oct →
inferno6–130.065%4 Oct →
mirage7–130.018%4 Oct →
mirage13–80.058%4 Oct →
mirage13–2-0.0024%2 Oct →
nuke7–13-0.0121%2 Oct →
anubis7–13-0.059%2 Oct →
dust212–160.046%2 Oct →
mirage5–13-0.0310%2 Oct →
mirage2–13-0.0120%30 Sept →
cache7–13-0.0220%30 Sept →
anubis12–16-0.0216%30 Sept →
nuke13–30.1111%30 Sept →
inferno10–130.0115%30 Sept →
cache13–10-0.036%30 Sept →
mirage13–80.037%27 Sept →
cache13–80.0016%27 Sept →
mirage8–130.0313%27 Sept →
ancient13–90.0015%19 Sept →
inferno13–60.0010%19 Sept →
dust29–13-0.0413%19 Sept →
dust212–160.0017%18 Sept →
nuke13–100.0817%18 Sept →
cache9–130.1116%18 Sept →
dust216–130.0619%18 Sept →
dust213–40.0825%18 Sept →
ancient7–130.0116%3 Jul →
inferno4–130.0220%3 Jul →
dust215–150.0014%27 Jun →
inferno13–100.085%27 Jun →
ancient13–50.0212%27 Jun →
mirage13–20.0916%27 Jun →
ancient13–30.0518%27 Jun →
dust28–13-0.0117%22 Jun →
overpass5–130.0114%22 Jun →
mirage10–40.0010%22 Jun →
nuke13–70.0415%19 Apr →
overpass13–80.0320%19 Apr →
dust211–130.0415%18 Apr →
ancient16–140.0311%18 Apr →
dust29–13-0.0426%18 Apr →
mirage13–11-0.0121%18 Apr →
nuke8–130.0133%18 Apr →
inferno13–110.1018%18 Apr →
ancient12–160.0416%4 Feb →
nuke8–130.0418%4 Feb →
inferno3–13-0.0118%3 Jan →
dust213–11-0.0315%3 Jan →
mirage5–13-0.0118%3 Jan →
nuke13–9-0.008%30 Dec →
overpass13–110.039%30 Dec →
dust213–20.1315%30 Dec →
overpass5–13-0.0419%30 Dec →
ancient13–7-0.0313%30 Dec →
train2–13-0.0516%27 Dec →
nuke15–150.0521%27 Dec →
inferno10–130.0419%27 Dec →
mirage10–130.0112%27 Dec →
ancient13–40.1014%24 Dec →
mirage13–60.0616%24 Dec →
dust213–20.0225%24 Dec →
inferno13–60.0321%24 Dec →
dust213–80.0516%24 Dec →
mirage13–70.0511%24 Dec →
ancient13–20.088%24 Dec →
mirage13–80.0311%6 Dec →
ancient13–60.0316%6 Dec →
overpass13–7-0.0725%6 Dec →
inferno13–5-0.0116%22 Nov →
dust215–150.0011%11 Nov →

Match data via Leetify.

Recent teammates

Milestones

11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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