Hextek1337

Hextek1337 — CS2 Stats

DE76561198120799599[U:1:160533871]Steam profile ↗✓ No bans

2,052Tracked matches33%Win rate2021Tracked since
4,418Hours in CS3Hrs last 2 wks
CSDB Rating5.8 SolidAll-Rounder
Premier CS Rating20,124Top 50% of 212,133 CSDB-tracked playersPink band · top ~8.4% of ranked players (population est.)
CSDB Leaderboard#80421 of 259067 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (6 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: 20,124 -672 29 Jun – 25 Oct · 15 days played
20,12421,597peak 21,59729 Jun25 Oct
21,744Peak Premier in tracked matches
47Days played since 2026-06-29

Premier CS Rating

  • 1,473 below peak (21,597)
  • -671 over 30 days · declining
  • Next: Red band at 25,000 — 4,876 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-05
  • Purple band first seen 2026-09-05

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 rate44.6%46.9%49.3%4.6% short
Shot accuracy14.3%13.0%13.4%above
Kill/death ratio1.031.081.120.09 short
Match win rate43.2%46.7%48.5%5.3% short

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

Widest gap: Match win 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.GGHextek1337PREMIER20,124 · 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

Aim76
Positioning59
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY40–53–7Last 10040%Win rateLWLWLTLLWW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · +1.5pp headshot accuracy · −1ms reaction

Win rate up 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

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 28%
  • Avg reaction 570ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 26%
  • Avg reaction 526ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 526ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.6
Utility5.2
Positioning5.9
Opening Duels4.3
Clutch5.6

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

Twistzz

Plays most like Twistzz 97% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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 →

CSDB Rating breakdown

Aim7.6
Positioning5.9
Utility5.2
Mechanics6.2
Opening Duels5.1
Win Impact0.0

Composite 5.8/10 (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 rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time519ms−77ms
first ⅓ avg 597ms → last ⅓ avg 519ms
Headshot accuracy22.7%−0.1%
first ⅓ avg 22.7% → last ⅓ avg 22.7%

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

0.32Best match rating · 9–0 · debris, 14 Jul →
69%Best headshot accuracy · 2–9 · inferno, 9 Sept →
383msFastest reaction time · 2–9 · inferno, 1 Sept →
13–0Biggest win · cache, 18 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–3In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 56% over 9dust2Weakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
vertigoC2410–1442%0.02
infernoB2210–1245%-0.00
dust2D154–1127%-0.01
mirageB136–746%0.03
cacheA95–456%0.00
anubis—30–30%-0.01
nuke—31–233%-0.03
train—30–30%0.05
ancient—20–20%0.04
debris—22–0100%0.13
eldorado—21–150%0.01
office—11–0100%-0.02
fachwerk—10–10%0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

103,669Lifetime kills
1.03K/D
6,345Matches
43.2%Match win rate
44.6%Headshot %
14.3%Shot accuracy · Top 50% of Pink band
16,944MVPs
2,162Hours (in match)
3,917Bombs planted
1,628Bombs defused

Most-used weapons

AK-4727,430
AWP10,487
P902,774
SSG 082,316
Knife2,300
FAMAS1,740

Lifetime map wins

9,469dust2
5,167vertigo
4,599inferno
2,656lake
871nuke
357train
274office
237cbble

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

Faceit stats

Combat

102Matches
53%Win rate
1.10Avg K/D
83.9ADR
45%Headshot %

Clutches & streaks

48%1v1 clutch win
19%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2339%1.0214.6
Dust21450%1.0015.3
Ancient967%1.0714.6
Anubis862%1.0419.8
Vertigo6100%1.5216.5
Inferno450%0.9112.8
Cache3100%1.4918.3
Nuke250%0.6911.5

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.

20.2%Headshot accuracy
35.9%Accuracy (enemy spotted)
35.4%Spray accuracy
77.8%Counter-strafing
9.7°Preaim
540msReaction time
46.9%T opening success
53.7%CT opening success
0.58Enemies flashed / flash
11.5%Flash assists
7.82HE damage / grenade
4.08Flashes / match

Recommended for you

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.

27% 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
vertigo5–9-0.0318%27 Oct →
vertigo9–20.0933%27 Oct →
mirage7–130.0638%25 Oct →
mirage16–140.0523%21 Oct →
inferno9–13-0.0128%21 Oct →
vertigo8–8-0.0633%17 Oct →
anubis3–13-0.0415%6 Oct →
cache14–16-0.0719%30 Sept →
vertigo13–90.0518%25 Sept →
inferno9–7-0.0030%23 Sept →
vertigo4–13-0.0224%23 Sept →
dust25–13-0.0327%18 Sept →
cache13–00.0717%18 Sept →
dust28–130.0229%18 Sept →
dust28–13-0.0423%16 Sept →
dust213–4-0.0017%16 Sept →
dust28–130.0316%11 Sept →
mirage6–13-0.018%11 Sept →
vertigo6–9-0.1711%9 Sept →
inferno2–9-0.0769%9 Sept →
inferno6–9-0.0150%9 Sept →
vertigo8–80.0121%9 Sept →
office13–5-0.0228%2 Sept →
nuke0–4-0.010%2 Sept →
inferno3–9-0.0723%1 Sept →
inferno9–70.0321%1 Sept →
inferno2–9-0.100%1 Sept →
vertigo9–70.0113%1 Sept →
vertigo9–40.1417%1 Sept →
vertigo4–9-0.0428%1 Sept →
vertigo9–50.1719%1 Sept →
vertigo9–50.1414%1 Sept →
cache13–100.0016%29 Aug →
cache13–70.0218%29 Aug →
ancient9–130.0713%28 Aug →
nuke13–70.0313%28 Aug →
mirage13–50.0116%28 Aug →
inferno9–60.0823%27 Aug →
inferno3–9-0.0722%27 Aug →
inferno9–50.1030%27 Aug →
inferno9–60.0531%27 Aug →
inferno8–80.1036%27 Aug →
inferno9–40.1529%27 Aug →
inferno8–8-0.0322%27 Aug →
dust27–13-0.1011%27 Aug →
ancient0–130.0012%27 Aug →
mirage6–130.1122%25 Aug →
cache3–13-0.0227%25 Aug →
inferno4–9-0.0318%23 Aug →
inferno4–9-0.0418%21 Aug →
inferno9–60.0329%21 Aug →
vertigo3–9-0.064%21 Aug →
mirage13–10-0.039%21 Aug →
anubis8–130.0320%20 Aug →
train10–130.1033%18 Aug →
train9–130.1124%17 Aug →
train3–13-0.0623%16 Aug →
inferno13–3-0.0928%14 Aug →
vertigo13–9-0.0116%11 Aug →
dust210–13-0.0120%10 Aug →
vertigo7–90.0241%10 Aug →
vertigo5–90.0318%10 Aug →
vertigo3–9-0.0226%10 Aug →
vertigo9–70.109%9 Aug →
inferno8–8-0.0125%9 Aug →
vertigo6–9-0.0922%7 Aug →
dust26–130.0016%4 Aug →
vertigo11–130.0322%4 Aug →
vertigo3–130.1127%2 Aug →
mirage6–00.0829%2 Aug →
inferno13–70.0312%31 Jul →
inferno13–10-0.0432%30 Jul →
cache13–2-0.0327%29 Jul →
mirage3–13-0.0327%29 Jul →
dust213–3-0.0336%29 Jul →
nuke9–13-0.0917%26 Jul →
anubis10–13-0.0112%23 Jul →
fachwerk3–130.0625%19 Jul →
dust24–13-0.0222%19 Jul →
mirage13–110.0716%18 Jul →
dust27–13-0.0126%18 Jul →
debris9–00.3229%14 Jul →
eldorado8–8-0.0429%14 Jul →
cache12–16-0.0316%13 Jul →
cache13–60.0224%12 Jul →
mirage13–70.0228%12 Jul →
dust213–100.0018%12 Jul →
debris7–3-0.0523%9 Jul →
eldorado9–60.0714%8 Jul →
inferno5–13-0.0414%6 Jul →
dust27–13-0.0526%6 Jul →
mirage15–150.0114%6 Jul →
cache5–130.0317%6 Jul →
mirage6–13-0.0647%3 Jul →
vertigo5–13-0.0213%3 Jul →
dust28–130.0014%3 Jul →
mirage3–130.1017%2 Jul →
dust213–110.0219%29 Jun →
vertigo9–30.1835%29 Jun →
vertigo9–6-0.0225%29 Jun →

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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