becx.

becx. — CS2 Stats

76561199044299635[U:1:1084033907]Steam profile ↗✓ No bans

3,987Tracked matches50%Win rate2020Tracked since
CSDB Rating6.0 SolidPositional Player
FaceitLevel 10 · 2,387 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (65 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,387 → 2,387
+114Tracked matches · now 3,987
−3.3ppWin rate · 53.3% → 50.0%

Rating over time

Faceit ELO: 2,387 +0 28 Aug – 1 Sept · 2 observations
2,3872,387peak 2,38728 Aug1 Sept
2,387Highest Faceit ELO seen on CSDB
31Days played since 2026-08-28

Faceit ELO

  • At peak — 2,387
  • Next: 2,500 ELO at 2,500 — 113 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-28
  • Level 9 first seen 2026-08-28

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.GGbecx.FACEITLevel 10 · 2,387 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,387csdb.gg/stats

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Performance scores

Aim68
Positioning63
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY53–47Last 10053%Win rateLWWWWLWLLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −0.4pp headshot accuracy · +37ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 588ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 577ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 559ms

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 (+1.7 against its own average).

Aim6.8
Utility6.1
Positioning6.3
Opening Duels2.6
Clutch3.4

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

iM

Plays most like iM 86% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim 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

Areas to improve

Reaction time. 567ms 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

Aim6.8
Positioning6.3
Utility6.1
Mechanics6.0
Opening Duels3.8
Win Impact5.0

Composite 6.0/10 (Solid), 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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time579ms+7ms
first ⅓ avg 571ms → last ⅓ avg 579ms
Headshot accuracy18.1%−3.1%
first ⅓ avg 21.2% → last ⅓ avg 18.1%

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

0.17Best match rating · 7–9 · nuke, 30 Aug →
63%Best headshot accuracy · 9–4 · inferno, 12 Sept →
359msFastest reaction time · 8–13 · inferno, 8 Sept →
13–2Biggest win · ancient, 21 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
14–14In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 59% over 17infernoWeakest map · 48% over 33
MapGradePlayedRecordWin rateAvg rating
infernoB3316–1748%-0.01
dust2B2815–1354%0.00
ancientA1810–856%-0.01
nukeA1710–759%0.00
cache—42–250%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (48% over 33). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,688Matches
51%Win rate
1.04Avg K/D
76.8ADR
45%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust248451%1.0415.3
Inferno44958%1.0715.5
Nuke31251%1.0415.2
Ancient11644%0.9515.1
Mirage6439%0.9615.6
Anubis3333%0.8913.4
Vertigo1844%0.9616.4
Train1625%0.8715.4

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.

17.9%Headshot accuracy
36.6%Accuracy (enemy spotted)
40.0%Spray accuracy
76.8%Counter-strafing
11.7°Preaim
567msReaction time
47.5%T opening success
42.9%CT opening success
0.55Enemies flashed / flash
8.9%Flash assists
9.97HE damage / grenade
6.89Flashes / match

Recommended for you

Spend your practice time on Inferno

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

48% win rate across 33 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient14–16-0.0021%1 Nov →
dust213–60.0127%1 Nov →
inferno13–60.036%1 Nov →
inferno13–8-0.0221%25 Oct →
dust213–11-0.0222%25 Oct →
dust27–130.0330%25 Oct →
nuke13–70.0211%25 Oct →
inferno4–130.0416%24 Oct →
ancient5–13-0.0318%24 Oct →
dust213–80.0815%24 Oct →
dust219–170.0318%24 Oct →
ancient13–10-0.0118%23 Oct →
cache19–16-0.0015%23 Oct →
inferno13–50.1313%23 Oct →
dust23–13-0.0332%23 Oct →
dust216–190.0520%22 Oct →
inferno13–50.0110%22 Oct →
cache9–13-0.0220%22 Oct →
dust22–13-0.1125%22 Oct →
inferno8–13-0.0220%21 Oct →
inferno17–19-0.0111%21 Oct →
nuke7–9-0.0413%21 Oct →
inferno9–7-0.0628%17 Oct →
cache13–10-0.0220%16 Oct →
ancient7–130.0116%16 Oct →
dust213–110.0120%15 Oct →
nuke13–7-0.0524%15 Oct →
nuke16–120.0517%14 Oct →
dust211–130.0315%14 Oct →
inferno10–130.0020%11 Oct →
ancient8–13-0.0311%11 Oct →
inferno9–130.0114%11 Oct →
nuke11–130.0213%10 Oct →
dust213–11-0.0320%10 Oct →
ancient24–28-0.0511%4 Oct →
inferno7–13-0.085%4 Oct →
nuke7–13-0.0818%4 Oct →
ancient13–11-0.0119%3 Oct →
dust213–100.1322%3 Oct →
nuke13–9-0.0116%3 Oct →
dust27–13-0.0530%3 Oct →
dust213–70.0131%3 Oct →
inferno7–9-0.0729%3 Oct →
nuke13–60.034%29 Sept →
inferno13–11-0.0121%27 Sept →
inferno4–13-0.0413%27 Sept →
inferno16–130.0316%27 Sept →
dust216–14-0.0310%26 Sept →
nuke13–5-0.0412%26 Sept →
ancient13–90.0225%24 Sept →
ancient5–13-0.0337%24 Sept →
dust213–90.0115%24 Sept →
inferno13–110.0115%24 Sept →
ancient13–11-0.038%24 Sept →
nuke9–13-0.0112%22 Sept →
dust24–130.0129%22 Sept →
ancient3–13-0.0512%22 Sept →
inferno13–100.0421%22 Sept →
ancient13–20.077%21 Sept →
ancient13–90.0611%21 Sept →
inferno3–13-0.0620%21 Sept →
dust213–100.0315%21 Sept →
ancient9–130.0220%21 Sept →
nuke16–13-0.0412%20 Sept →
inferno13–11-0.0215%20 Sept →
ancient13–9-0.0116%20 Sept →
ancient13–30.0018%13 Sept →
inferno13–8-0.0216%13 Sept →
inferno19–170.0014%13 Sept →
inferno11–130.059%12 Sept →
nuke13–50.0121%12 Sept →
inferno8–130.0222%12 Sept →
dust211–13-0.0318%12 Sept →
inferno9–4-0.0763%12 Sept →
inferno5–13-0.0419%8 Sept →
dust214–16-0.0226%8 Sept →
inferno8–13-0.0317%8 Sept →
ancient13–8-0.0621%8 Sept →
nuke13–9-0.0411%7 Sept →
dust213–70.0119%7 Sept →
inferno13–10-0.0217%7 Sept →
ancient13–11-0.0316%7 Sept →
dust210–130.0120%6 Sept →
inferno5–90.0046%5 Sept →
inferno6–9-0.1226%5 Sept →
nuke15–19-0.0218%2 Sept →
inferno17–190.0015%2 Sept →
dust213–60.0821%2 Sept →
dust211–130.0214%2 Sept →
cache7–13-0.0221%30 Aug →
dust213–100.0225%30 Aug →
nuke7–90.1722%30 Aug →
inferno13–9-0.0212%29 Aug →
inferno13–8-0.0420%29 Aug →
nuke9–10.0325%29 Aug →
inferno7–13-0.0327%28 Aug →
dust26–130.0229%28 Aug →
dust211–13-0.0814%28 Aug →
dust213–11-0.0415%28 Aug →
nuke11–13-0.0123%28 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K 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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