HeXTaG

HeXTaG — CS2 Stats

76561197993327594[U:1:33061866]Steam profile ↗✓ No bans

3,761Tracked matches48%Win rate2020Tracked since
CSDB Rating6.2 SolidPositional Player
Premier CS Rating21,631Top 50% of 211,308 CSDB-tracked playersPink band · top ~6.7% of ranked players (population est.)
CSDB Leaderboard#60881 of 258240 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (4 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: 21,631 +911 6 Aug – 24 Oct · 35 days played
18,32923,494peak 23,4946 Aug24 Oct
Faceit ELO: 2,050 +0 5 Sept – 22 Sept · 2 observations
2,0502,050peak 2,0505 Sept22 Sept
23,527Peak Premier in tracked matches
2,050Highest Faceit ELO seen on CSDB
37Days played since 2026-08-05

Faceit ELO

  • At peak — 2,050
  • Next: 2,500 ELO at 2,500 — 450 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-05
  • Level 9 first seen 2026-09-05

Premier CS Rating

  • 1,863 below peak (23,494)
  • -1,201 over 30 days · declining
  • +911 over 90 days
  • Next: Red band at 25,000 — 3,369 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-22
  • 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. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGHeXTaGPREMIER21,631 · Pink bandPEAK ELO2,050csdb.gg/stats

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Performance scores

Aim77
Positioning60
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateWWLLWLLLWL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −1.3pp headshot accuracy · +31ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 12%
  • Avg reaction 574ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 12%
  • Avg reaction 585ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 570ms

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 (+2 against its own average).

Aim7.7
Utility4.4
Positioning6.0
Opening Duels3.3
Clutch2.4

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

jL

Plays most like jL 96% 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 585ms 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

Aim7.7
Positioning6.0
Utility4.4
Mechanics7.0
Opening Duels4.4
Win Impact4.4

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 rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time591ms+1ms
first ⅓ avg 591ms → last ⅓ avg 591ms
Headshot accuracy14.1%−1.7%
first ⅓ avg 15.8% → last ⅓ avg 14.1%

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

0.21Best match rating · 13–6 · boulder, 27 Sept →
32%Best headshot accuracy · 9–13 · nuke, 6 Aug →
414msFastest reaction time · 13–4 · anubis, 6 Sept →
13–3Biggest win · overpass, 17 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
13–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 59% over 22anubisWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
infernoA2213–959%0.02
nukeB147–750%0.03
anubisD133–1023%-0.01
ancientD113–827%0.04
mirageB105–550%0.04
cacheD93–633%-0.01
dust2D62–433%0.02
overpass—41–325%0.01
shelter—42–250%0.01
boulder—32–167%0.08
fachwerk—11–0100%-0.06
vertigo—11–0100%0.12
office—10–10%-0.04
train—11–0100%0.10

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,430Matches
50%Win rate
1.21Avg K/D
84.9ADR
32%Headshot %

Clutches & streaks

32%1v1 clutch win
18%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Nuke4852%1.1418.6
Inferno4042%1.0717.2
Vertigo3944%1.0016.5
Ancient2832%0.9314.8
Anubis1937%1.1619.1
Overpass1533%1.0617.4
Mirage1443%1.0217.1
Dust2667%0.9014.8

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.

13.8%Headshot accuracy
42.0%Accuracy (enemy spotted)
43.1%Spray accuracy
81.3%Counter-strafing
10.9°Preaim
585msReaction time
52.0%T opening success
43.6%CT opening success
0.52Enemies flashed / flash
9.9%Flash assists
14.31HE damage / grenade
2.89Flashes / 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 13.7503% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.8937 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–80.0619%24 Oct →
nuke13–6-0.006%24 Oct →
dust25–13-0.019%24 Oct →
nuke11–130.1014%17 Oct →
overpass13–30.0011%17 Oct →
overpass9–13-0.0011%17 Oct →
overpass4–13-0.0111%17 Oct →
overpass6–130.0514%17 Oct →
shelter13–110.0220%17 Oct →
shelter9–13-0.028%16 Oct →
anubis13–100.0210%16 Oct →
cache13–7-0.0114%16 Oct →
shelter8–13-0.0210%16 Oct →
fachwerk13–6-0.0610%16 Oct →
ancient10–13-0.0123%16 Oct →
boulder13–110.0210%16 Oct →
anubis12–120.0711%16 Oct →
boulder9–130.0118%16 Oct →
anubis4–13-0.0314%16 Oct →
ancient9–130.0516%16 Oct →
anubis4–13-0.0015%16 Oct →
vertigo13–50.1211%16 Oct →
office4–13-0.0415%16 Oct →
mirage13–40.1617%16 Oct →
anubis2–130.0218%16 Oct →
nuke13–110.0814%16 Oct →
inferno13–30.006%16 Oct →
inferno5–13-0.0722%16 Oct →
train13–80.1018%16 Oct →
dust213–90.1315%16 Oct →
dust27–13-0.0712%16 Oct →
dust20–13-0.0925%16 Oct →
ancient4–130.0418%16 Oct →
nuke11–130.0115%14 Oct →
mirage2–130.0513%14 Oct →
mirage8–130.0113%11 Oct →
anubis8–130.0012%11 Oct →
cache9–130.0415%9 Oct →
dust213–90.0616%9 Oct →
anubis7–13-0.0215%9 Oct →
inferno13–50.0510%5 Oct →
nuke16–140.0610%5 Oct →
nuke15–150.0215%3 Oct →
nuke8–13-0.0710%2 Oct →
ancient13–90.1315%2 Oct →
inferno9–13-0.0514%2 Oct →
shelter13–110.0616%27 Sept →
boulder13–60.219%27 Sept →
inferno13–110.0213%27 Sept →
mirage3–13-0.0210%27 Sept →
dust215–150.0710%26 Sept →
mirage13–60.0212%26 Sept →
inferno13–10-0.0210%25 Sept →
mirage13–8-0.0319%25 Sept →
mirage13–30.157%25 Sept →
anubis6–13-0.0514%25 Sept →
mirage1–13-0.064%23 Sept →
cache11–20.0417%22 Sept →
inferno13–50.0413%21 Sept →
inferno14–160.0515%20 Sept →
inferno13–80.0322%20 Sept →
anubis2–13-0.088%20 Sept →
inferno8–130.0715%18 Sept →
ancient16–140.0817%17 Sept →
inferno16–14-0.0211%17 Sept →
anubis13–90.0815%15 Sept →
inferno13–80.059%15 Sept →
cache13–30.0712%15 Sept →
cache15–15-0.0411%15 Sept →
ancient9–13-0.0026%14 Sept →
inferno8–130.0317%14 Sept →
ancient7–130.0221%13 Sept →
inferno9–130.0915%13 Sept →
inferno13–110.0617%12 Sept →
inferno13–80.0218%12 Sept →
nuke16–140.0115%10 Sept →
anubis3–130.015%10 Sept →
cache9–13-0.0717%10 Sept →
ancient11–130.0414%10 Sept →
nuke13–110.0921%9 Sept →
inferno10–40.0117%7 Sept →
anubis13–4-0.0618%6 Sept →
ancient13–60.1223%6 Sept →
nuke13–110.0617%6 Sept →
cache7–130.0216%5 Sept →
inferno10–10.090%29 Aug →
ancient7–13-0.0217%29 Aug →
nuke11–13-0.0119%23 Aug →
nuke13–90.0211%22 Aug →
cache3–13-0.0822%17 Aug →
inferno14–16-0.0015%16 Aug →
mirage8–130.035%15 Aug →
anubis11–13-0.0513%12 Aug →
ancient11–130.0124%7 Aug →
nuke3–130.0113%7 Aug →
inferno10–13-0.0114%7 Aug →
nuke9–130.0832%6 Aug →
inferno13–110.0119%6 Aug →
cache7–13-0.055%5 Aug →
inferno5–130.0512%5 Aug →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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