beist

beist — CS2 Stats

NO76561197992953141[U:1:32687413]Steam profile ↗✓ No bans

2,536Tracked matches50%Win rate2020Tracked since
CSDB Rating6.6 SolidSupport
FaceitLevel 10 · 2,201 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Sep 2026 (33 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,201 → 2,201
+35Tracked matches · now 2,536
0.0ppWin rate · 50.0% → 50.0%

Rating over time

Faceit ELO: 2,201 +0 20 Sept – 28 Sept · 2 observations
2,2012,201peak 2,20120 Sept28 Sept
2,201Highest Faceit ELO seen on CSDB
79Days played since 2025-07-21

Faceit ELO

  • At peak — 2,201
  • Next: 2,500 ELO at 2,500 — 299 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-20
  • Level 9 first seen 2026-09-20

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.GGbeistFACEITLevel 10 · 2,201 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,201csdb.gg/stats

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Performance scores

Aim84
Positioning59
Utility72

0–100 skill scores via Leetify.

Recent form

COLD45–54–1Last 10045%Win rateLLLWLWLWLL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +3.9pp headshot accuracy · +24ms reaction

Win rate down 30pp 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

  • 1–4 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 528ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 526ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 514ms

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: Support — Utility contribution stands above the rest of this profile (+1.9 against its own average).

Aim8.4
Utility7.2
Positioning5.9
Opening Duels3.6
Clutch4.6

Effective flashes

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

ZywOo

Plays most like ZywOo 91% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 51% on CT to 29% 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

Aim8.4
Positioning5.9
Utility7.2
Mechanics7.3
Opening Duels2.6
Win Impact5.0

Composite 6.6/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time545ms−19ms
first ⅓ avg 564ms → last ⅓ avg 545ms
Headshot accuracy20.7%+2.8%
first ⅓ avg 17.9% → last ⅓ avg 20.7%

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

0.15Best match rating · 13–3 · nuke, 13 Jun →
50%Best headshot accuracy · 3–11 · cache, 30 Oct →
391msFastest reaction time · 13–6 · cache, 23 Sept →
13–3Biggest win · nuke, 13 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
10–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 57% over 21infernoWeakest map · 33% over 18
MapGradePlayedRecordWin rateAvg rating
mirageA2112–957%0.03
infernoD186–1233%0.00
cacheB158–753%-0.00
dust2C145–936%0.01
overpassC104–640%0.03
ancientB84–450%0.02
anubisB84–450%0.03
nuke—21–150%0.07
train—21–150%-0.02
alpine—10–10%-0.02
italy—10–10%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,680Matches
50%Win rate
1.22Avg K/D
87.5ADR
44%Headshot %

Clutches & streaks

43%1v1 clutch win
24%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage47647%1.2317.9
Dust231050%1.2518.0
Anubis21953%1.3318.9
Inferno20055%1.2918.1
Ancient17151%1.2117.1
Cache6154%1.2218.1
Nuke5544%1.1617.3
Overpass4941%1.1817.2

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.

20.1%Headshot accuracy
37.2%Accuracy (enemy spotted)
37.5%Spray accuracy
82.8%Counter-strafing
8.4°Preaim
542msReaction time
28.8%T opening success
50.6%CT opening success
0.78Enemies flashed / flash
9.7%Flash assists
9.66HE damage / grenade
15.95Flashes / 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. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 28.7707% — below the 40% mark we flag

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.

33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache3–11-0.0150%30 Oct →
mirage13–160.0112%30 Oct →
ancient7–130.0417%27 Oct →
cache13–110.0520%20 Oct →
mirage10–13-0.0122%10 Oct →
ancient16–13-0.0318%10 Oct →
dust210–130.0331%4 Oct →
cache13–6-0.0419%23 Sept →
cache8–130.0436%20 Sept →
mirage8–13-0.0312%13 Sept →
cache11–130.0016%10 Sept →
mirage16–130.1028%29 Aug →
inferno6–13-0.0726%29 Aug →
dust20–13-0.078%28 Aug →
cache13–10-0.0419%23 Aug →
dust213–110.1225%21 Aug →
inferno13–11-0.0120%21 Aug →
cache10–130.0419%21 Aug →
ancient13–80.0624%17 Aug →
mirage16–130.0114%16 Aug →
dust211–13-0.0327%2 Aug →
mirage11–130.0319%31 Jul →
cache13–110.0122%31 Jul →
anubis7–130.027%27 Jul →
dust213–60.0823%27 Jul →
cache13–6-0.0713%21 Jul →
inferno13–110.0115%20 Jul →
cache13–110.0219%20 Jul →
dust28–130.0221%16 Jul →
cache13–70.0024%16 Jul →
mirage6–13-0.0019%3 Jul →
dust219–16-0.0028%24 Jun →
overpass6–130.0114%16 Jun →
cache9–13-0.0735%13 Jun →
nuke13–30.1525%13 Jun →
dust212–16-0.0035%12 Jun →
mirage5–130.0824%12 Jun →
mirage13–8-0.0116%22 May →
inferno13–100.0028%19 May →
inferno11–130.0323%15 May →
cache11–13-0.0621%15 May →
cache7–130.0625%12 May →
inferno10–130.0025%9 May →
nuke10–13-0.0124%9 May →
mirage6–13-0.0133%8 May →
cache13–80.0528%3 May →
inferno7–130.0633%21 Apr →
inferno1–13-0.0621%20 Apr →
mirage8–13-0.0418%20 Apr →
anubis17–190.0621%3 Apr →
mirage13–30.0218%3 Apr →
anubis13–60.0524%31 Mar →
mirage13–90.0211%31 Mar →
inferno11–130.0219%26 Mar →
anubis13–60.0530%24 Mar →
anubis13–110.1426%21 Mar →
mirage13–60.0517%20 Mar →
dust24–13-0.0519%20 Mar →
inferno11–130.0130%17 Mar →
ancient13–70.0927%15 Mar →
overpass9–130.0024%14 Mar →
overpass6–130.0519%13 Mar →
mirage13–60.1116%10 Mar →
inferno21–250.0528%1 Mar →
dust213–80.0118%27 Feb →
anubis13–10-0.0026%24 Feb →
alpine12–12-0.0216%19 Feb →
italy2–13-0.0614%18 Feb →
mirage13–90.0223%8 Feb →
dust211–13-0.0013%8 Feb →
overpass13–70.0714%31 Jan →
dust219–160.0628%27 Jan →
mirage13–90.0824%26 Jan →
overpass13–60.1023%18 Jan →
inferno7–13-0.016%15 Jan →
dust222–250.0516%13 Jan →
anubis7–13-0.0312%11 Jan →
mirage13–110.0513%11 Jan →
anubis4–13-0.0721%10 Jan →
inferno10–130.0321%8 Jan →
ancient9–130.0316%22 Dec →
inferno10–13-0.0027%6 Dec →
inferno13–100.0017%22 Sept →
overpass11–130.0124%20 Sept →
overpass13–50.0218%28 Aug →
overpass3–13-0.0418%26 Aug →
ancient13–100.0122%25 Aug →
mirage9–130.0222%22 Aug →
dust25–13-0.0012%15 Aug →
train7–13-0.0319%11 Aug →
inferno13–5-0.0313%5 Aug →
train13–11-0.019%4 Aug →
inferno13–100.0526%3 Aug →
mirage5–40.107%3 Aug →
ancient10–130.0118%27 Jul →
overpass6–13-0.0113%27 Jul →
inferno10–13-0.0232%24 Jul →
overpass13–60.0421%23 Jul →
ancient7–13-0.0615%22 Jul →
mirage13–70.0218%21 Jul →

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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