✪ Hexan

✪ Hexan — CS2 Stats

CZ76561198088178783[U:1:127913055]Steam profile ↗✓ No bans

1,209Tracked matches56%Win rate2020Tracked since
6,358Hours in CS6Hrs last 2 wks
CSDB Rating7.3 StrongPositional Player
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

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CSDB.GG✪ HexanFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim92
Positioning63
Utility60

0–100 skill scores via Leetify.

Recent form

HOT46–45–9Last 10046%Win rateWWLWTWWWWW

Last 10 vs previous 10: +40pp win rate · +0.06 avg rating · −3.0pp headshot accuracy · +36ms reaction

Win rate up 40pp 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 26%
  • Avg reaction 594ms

Last 10

  • 8–1–1 · 80% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 26%
  • Avg reaction 555ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 28%
  • Avg reaction 538ms

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 (+1.8 against its own average).

Aim9.2
Utility6.0
Positioning6.3
Opening Duels1.6
Clutch4.0

Sharp aimerExcellent counter-strafingStrong CT-side opener

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

ropz

Plays most like ropz 89% playstyle similarity

Most alike: utility contribution, positioning 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

Strengths

Aim. Aim score of 92 — the mechanical foundation is a clear strength.

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

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

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

Aim9.2
Positioning6.3
Utility6.0
Mechanics8.9
Opening Duels3.5
Win Impact6.9

Composite 7.3/10 (Strong), 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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time528ms−41ms
first ⅓ avg 570ms → last ⅓ avg 528ms
Headshot accuracy26.0%+0.8%
first ⅓ avg 25.2% → last ⅓ avg 26.0%

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

0.22Best match rating · 13–2 · dust2, 29 Oct →
67%Best headshot accuracy · 12–12 · cache, 16 Aug →
367msFastest reaction time · 10–13 · inferno, 11 Oct →
13–0Biggest win · nuke, 14 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
4–4In matches decided by ≤2 rounds
2Overtime games

Map breakdown

dust2Best map · 83% over 6anubisWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
cacheB6530–3546%0.02
infernoA95–456%0.05
anubisD71–614%0.03
dust2S65–183%0.07
nukeB63–350%0.06
mirage—20–20%-0.06
vertigo—20–20%-0.01
overpass—11–0100%0.10
ancient—11–0100%0.04
office—10–10%0.03

Across the last 100 tracked matches.

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

Lifetime stats

151,743Lifetime kills
1.43K/D
8,050Matches
49.7%Match win rate
44.2%Headshot %
13.3%Shot accuracy
21,413MVPs
2,758Hours (in match)
5,925Bombs planted
2,410Bombs defused

Most-used weapons

AK-4745,324
AWP30,772
SSG 083,772
P902,468

Lifetime map wins

18,923dust2
11,647inferno
4,105nuke
1,457vertigo
1,229train
833cbble
440bank
327lake

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

Faceit stats

Combat

141Matches
51%Win rate
1.27Avg K/D
81.7ADR
39%Headshot %

Clutches & streaks

40%1v1 clutch win
13%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno757%1.2221.9
Mirage757%1.1517.4
Overpass650%1.0416.8
Anubis580%1.7417.6
Nuke425%1.2017.8
Dust2333%1.1915.7
Ancient20%0.6211.5
Cache10%0.7814.0

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.

26.0%Headshot accuracy
35.8%Accuracy (enemy spotted)
42.6%Spray accuracy
90.2%Counter-strafing
8.6°Preaim
525msReaction time
43.1%T opening success
44.9%CT opening success
0.51Enemies flashed / flash
8.4%Flash assists
5.85HE damage / grenade
15.03Flashes / match

Recommended for you

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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache10–70.0226%5 Nov →
cache13–70.0238%5 Nov →
inferno8–13-0.0222%2 Nov →
inferno13–50.1225%2 Nov →
cache12–120.0820%1 Nov →
overpass13–110.1028%29 Oct →
dust213–20.2215%29 Oct →
nuke13–70.0440%29 Oct →
inferno13–70.0724%29 Oct →
cache13–9-0.0323%29 Oct →
mirage10–13-0.0743%17 Oct →
vertigo5–13-0.0113%17 Oct →
cache12–120.0913%17 Oct →
vertigo7–13-0.0123%15 Oct →
nuke1–13-0.0935%15 Oct →
dust213–40.0221%14 Oct →
cache13–110.0635%14 Oct →
cache4–13-0.0827%14 Oct →
nuke13–00.1538%14 Oct →
cache13–5-0.0241%14 Oct →
cache10–130.0625%13 Oct →
cache12–12-0.0228%11 Oct →
inferno10–13-0.0417%11 Oct →
cache9–130.0626%11 Oct →
cache4–13-0.0519%11 Oct →
cache13–60.0641%11 Oct →
cache10–13-0.0222%11 Oct →
cache13–30.0930%5 Oct →
inferno4–130.0117%3 Oct →
cache13–50.037%3 Oct →
cache12–120.0428%3 Oct →
inferno13–50.1028%2 Oct →
cache12–20.1819%2 Oct →
ancient13–80.048%1 Oct →
cache13–9-0.0138%30 Sept →
cache13–90.0734%27 Sept →
cache13–70.0523%27 Sept →
inferno11–130.0218%10 Sept →
cache9–130.0120%10 Sept →
inferno13–20.0816%7 Sept →
cache3–13-0.0938%16 Aug →
cache12–120.1267%16 Aug →
cache6–13-0.0660%16 Aug →
cache7–13-0.0520%11 Aug →
cache9–130.0336%9 Aug →
anubis6–130.0444%9 Aug →
dust213–90.0624%24 Jul →
cache9–130.0229%24 Jul →
anubis15–150.017%21 Jul →
cache3–13-0.018%21 Jul →
cache13–9-0.0421%19 Jul →
cache8–130.0220%18 Jul →
cache13–60.0328%18 Jul →
cache13–7-0.0310%17 Jul →
cache13–40.0823%14 Jul →
office12–120.0323%13 Jul →
mirage8–13-0.068%12 Jul →
cache5–13-0.0140%12 Jul →
dust213–90.0518%5 Jul →
cache13–60.0339%4 Jul →
cache13–50.0334%4 Jul →
cache11–130.0255%3 Jul →
inferno9–70.1141%3 Jul →
cache12–120.0717%2 Jul →
cache13–8-0.0615%2 Jul →
cache7–130.0124%30 Jun →
cache1–5-0.019%30 Jun →
nuke4–130.0331%29 Jun →
cache13–100.0233%27 Jun →
cache13–70.0936%26 Jun →
anubis13–80.1221%22 Jun →
anubis7–13-0.0419%22 Jun →
dust213–30.0644%22 Jun →
anubis14–160.0525%21 Jun →
nuke13–20.1611%20 Jun →
cache4–130.0017%20 Jun →
cache9–130.0227%20 Jun →
cache5–13-0.0319%20 Jun →
cache5–130.0726%20 Jun →
cache3–130.0330%20 Jun →
cache13–100.0316%20 Jun →
cache8–130.0643%18 Jun →
cache13–20.0923%14 Jun →
cache13–10-0.0215%10 Jun →
cache13–80.0118%9 Jun →
cache0–7-0.0244%9 Jun →
anubis5–130.0423%6 Jun →
cache10–130.0417%3 Jun →
cache13–00.0740%1 Jun →
anubis2–130.0238%1 Jun →
cache13–90.0219%28 May →
nuke11–130.0827%28 May →
cache12–12-0.0230%17 May →
dust28–13-0.0127%14 May →
cache13–100.0512%10 May →
cache13–11-0.0119%8 May →
cache13–100.0023%7 May →
cache10–13-0.0520%6 May →
cache8–13-0.0520%6 May →
cache1–13-0.0820%6 May →

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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