bexik

bexik — CS2 Stats

AU76561199068085552[U:1:1107819824]Steam profile ↗✓ No bans

967Tracked matches59%Win rate2025Tracked since
1,291Hours in CS58Hrs last 2 wks
CSDB Rating7.4 StrongPositional Player
Premier CS Rating22,536Top 25% of 212,133 CSDB-tracked playersPink band · top ~5.7% of ranked players (population est.)
CSDB Leaderboard#49384 of 258979 tracked
FaceitLevel 9 · 1,318 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (yesterday). 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: 22,536 -400 18 Sept – 30 Oct · 19 days played
21,46823,082peak 23,08218 Sept30 Oct
23,185Peak Premier in tracked matches
1,318Highest Faceit ELO seen on CSDB
32Days played since 2026-09-18

Faceit ELO

  • At peak — 1,318
  • Next: Level 7 at 1,351 — 33 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier CS Rating

  • 546 below peak (23,082)
  • +708 over 30 days · improving
  • Next: Red band at 25,000 — 2,464 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 Level 9 among CSDB-tracked players (n=15,132), 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 playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate48.4%48.2%50.9%2.5% short
Shot accuracy0.2%13.2%13.7%13.5% short
Kill/death ratio1.321.071.09above
Match win rate52.9%46.9%48.4%above

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGbexikFACEITLevel 9 · 1,318 ELOSTANDINGTop 20.7% of rankedPREMIER22,536 · Pink bandPEAK ELO1,318csdb.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

Aim89
Positioning72
Utility48

0–100 skill scores via Leetify.

Recent form

HOT55–43–2Last 10055%Win rateWWWWWLWLTW

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · −0.5pp headshot accuracy · −16ms reaction

Win rate +10pp 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

  • 5–0 · 100% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 466ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 467ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 475ms

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 (+2.2 against its own average).

Aim8.9
Utility4.8
Positioning7.2
Opening Duels6.0
Clutch2.2

Sharp aimerStrong 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

donk

Plays most like donk 96% 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 89 — the mechanical foundation is a clear strength.

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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 62% on CT to 43% 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

Aim8.9
Positioning7.2
Utility4.8
Mechanics7.2
Opening Duels5.7
Win Impact7.9

Composite 7.4/10 (Strong), 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 0.03 → last ⅓ avg 0.02
Reaction time488ms−5ms
first ⅓ avg 493ms → last ⅓ avg 488ms
Headshot accuracy20.9%−3.1%
first ⅓ avg 24.1% → last ⅓ avg 20.9%

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

0.14Best match rating · 13–6 · dust2, 4 Oct →
57%Best headshot accuracy · 2–13 · mirage, 29 Sept →
320msFastest reaction time · 13–3 · inferno, 18 Oct →
13–0Biggest win · nuke, 11 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W5Current streak
11–11In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 67% over 27nukeWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB3418–1653%0.03
dust2S2718–967%0.04
ancientA106–460%0.02
anubisC94–544%0.02
nukeC83–538%0.02
infernoC73–443%0.02
cacheA53–260%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

44,929Lifetime kills
1.32K/D · Top 25% of Level 9 players
2,218Matches
52.9%Match win rate · Top 10% of Level 9 players
48.4%Headshot % · Top 50% of Level 9 players
0.2%Shot accuracy
8,895MVPs
654Hours (in match)
1,741Bombs planted
1,310Bombs defused

Most-used weapons

AK-4717,969
AWP7,590
MP9872
Knife350

Lifetime map wins

8,480dust2
2,302inferno
1,326nuke
372vertigo
138train
45office
31italy

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

Faceit stats

Combat

268Matches
54%Win rate
1.31Avg K/D
88.5ADR
50%Headshot %

Clutches & streaks

31%1v1 clutch win
25%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage9357%1.3118.7
Dust27657%1.3618.6
Ancient3352%1.1716.7
Inferno2752%1.3417.2
Anubis1867%1.3318.8
Nuke1136%1.2217.7
Cache633%1.3018.8
Train250%1.6920.5

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.

20.8%Headshot accuracy
39.0%Accuracy (enemy spotted)
40.3%Spray accuracy
82.4%Counter-strafing
8.6°Preaim
489msReaction time
43.1%T opening success
62.4%CT opening success
0.51Enemies flashed / flash
3.6%Flash assists
5.60HE damage / grenade
9.02Flashes / match

Recommended for you

Spend your practice time on Nuke

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–100.1039%30 Oct →
anubis13–3-0.0616%30 Oct →
dust213–10-0.0119%27 Oct →
nuke13–9-0.0322%27 Oct →
dust211–50.0515%26 Oct →
mirage6–13-0.0219%25 Oct →
mirage13–40.0919%25 Oct →
nuke9–13-0.0130%25 Oct →
anubis12–12-0.0318%25 Oct →
ancient13–60.0017%24 Oct →
anubis13–70.0734%24 Oct →
cache3–13-0.0412%24 Oct →
inferno9–130.0816%23 Oct →
mirage16–140.0015%23 Oct →
mirage13–60.1028%23 Oct →
mirage13–8-0.0127%23 Oct →
mirage13–100.0522%23 Oct →
nuke11–130.0421%22 Oct →
mirage6–13-0.0215%22 Oct →
dust213–110.1028%22 Oct →
ancient13–100.0314%22 Oct →
inferno6–130.0117%22 Oct →
mirage9–130.0317%22 Oct →
dust211–13-0.0610%21 Oct →
mirage14–160.0426%21 Oct →
ancient13–60.0021%20 Oct →
inferno9–130.0322%20 Oct →
mirage13–110.0128%20 Oct →
dust213–90.1315%19 Oct →
mirage9–13-0.0116%19 Oct →
dust213–70.0332%19 Oct →
mirage16–140.0115%18 Oct →
mirage13–10.1126%18 Oct →
inferno13–30.0618%18 Oct →
mirage13–80.0628%18 Oct →
dust29–130.0422%18 Oct →
mirage13–70.0013%18 Oct →
dust26–130.0135%18 Oct →
dust29–10.1326%18 Oct →
ancient13–60.0623%17 Oct →
dust25–60.0827%17 Oct →
mirage13–60.0122%17 Oct →
cache7–00.0820%17 Oct →
ancient10–130.0525%17 Oct →
dust213–11-0.0113%16 Oct →
mirage13–70.0424%16 Oct →
cache13–40.0524%14 Oct →
mirage2–13-0.0416%13 Oct →
dust213–90.0221%13 Oct →
mirage13–20.1030%13 Oct →
ancient13–50.0219%12 Oct →
nuke8–130.1016%11 Oct →
anubis11–130.0222%11 Oct →
mirage11–130.0819%11 Oct →
nuke13–00.0430%11 Oct →
anubis11–130.0137%10 Oct →
mirage13–110.0821%10 Oct →
mirage12–160.0522%10 Oct →
nuke9–130.0224%10 Oct →
dust213–90.0222%10 Oct →
dust24–13-0.0415%9 Oct →
inferno13–110.0219%9 Oct →
dust211–130.0325%8 Oct →
mirage8–130.0323%8 Oct →
mirage7–130.1125%8 Oct →
ancient11–130.0320%8 Oct →
dust213–6-0.0026%7 Oct →
mirage13–50.0538%7 Oct →
mirage6–13-0.0121%7 Oct →
dust211–13-0.0021%7 Oct →
ancient10–130.0117%6 Oct →
cache13–70.0122%6 Oct →
mirage9–13-0.0824%5 Oct →
mirage13–16-0.0225%5 Oct →
anubis13–100.0720%4 Oct →
inferno10–13-0.0218%4 Oct →
dust213–60.0516%4 Oct →
ancient11–13-0.0318%4 Oct →
anubis13–70.0617%4 Oct →
dust213–60.1423%4 Oct →
dust27–13-0.0017%3 Oct →
dust213–90.0836%3 Oct →
dust216–140.0732%30 Sept →
mirage2–130.0257%29 Sept →
mirage13–90.0826%29 Sept →
mirage13–60.1222%28 Sept →
dust213–70.0317%28 Sept →
mirage3–130.0323%28 Sept →
anubis2–130.0119%27 Sept →
ancient13–50.0226%27 Sept →
dust212–120.0523%27 Sept →
nuke10–130.0315%27 Sept →
dust213–110.0034%21 Sept →
nuke13–8-0.0030%21 Sept →
mirage3–13-0.0219%21 Sept →
anubis4–120.0330%20 Sept →
cache8–130.0116%20 Sept →
mirage13–110.0423%18 Sept →
dust216–140.0634%18 Sept →
inferno13–9-0.0117%18 Sept →

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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