Bewbs

Bewbs — CS2 Stats

RO76561198190960834[U:1:230695106]Steam profile ↗✓ No bans

2,328Tracked matches38%Win rate2020Tracked since
5,953Hours in CS1Hrs last 2 wks
CSDB Rating6.3 SolidAll-Rounder
Premier CS Rating23,547Top 25% of 201,122 CSDB-tracked playersPink band · top ~4.6% of ranked players (population est.)
CSDB Leaderboard#35466 of 247972 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Jun 2026 (111 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: 23,547 -233 25 Mar – 14 Jun · 13 days played
22,24324,321peak 24,32125 Mar14 Jun
24,664Peak Premier in tracked matches
21Days played since 2026-03-25

Premier CS Rating

  • 774 below peak (24,321)
  • -233 over 90 days
  • Next: Red band at 25,000 — 1,453 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=14,336), 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 rate46.8%48.2%50.9%4.1% short
Shot accuracy17.8%13.3%13.8%above
Kill/death ratio0.971.071.090.12 short
Match win rate38.8%46.9%48.4%9.6% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. 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.GGBewbsFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER23,547 · Pink bandcsdb.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

Aim74
Positioning65
Utility69

0–100 skill scores via Leetify.

Recent form

COLD43–50–7Last 10043%Win rateTLTLLWTLLT

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −2.9pp headshot accuracy · −46ms 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

  • 0–3–2 · 0% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 27%
  • Avg reaction 533ms

Last 10

  • 1–5–4 · 10% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 563ms

Last 20

  • 3–12–5 · 15% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 27%
  • Avg reaction 586ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.4
Utility6.9
Positioning6.5
Opening Duels4.8
Clutch7.0

Effective flashesReliable in 1v1s

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 87% 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

Strengths

Flashes. 0.87 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 56% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 600ms 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

Aim7.4
Positioning6.5
Utility6.9
Mechanics7.5
Opening Duels4.6
Win Impact0.8

Composite 6.3/10 (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 rating0.01+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time600ms−32ms
first ⅓ avg 632ms → last ⅓ avg 600ms
Headshot accuracy26.2%+3.1%
first ⅓ avg 23.2% → last ⅓ avg 26.2%

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 · 12–12 · dust2, 5 May →
52%Best headshot accuracy · 6–13 · dust2, 26 Mar →
430msFastest reaction time · 13–5 · dust2, 17 Apr →
13–1Biggest win · nuke, 2 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–3In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 63% over 8mirageWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C5623–3341%0.02
ancientB189–950%-0.00
mirageC114–736%0.01
nukeA85–363%-0.00
anubis—41–325%-0.01
overpass—20–20%0.01
cache—11–0100%-0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

270,774Lifetime kills
0.97K/D
9,535Matches
38.8%Match win rate
46.8%Headshot %
17.8%Shot accuracy · Top 25% of Level 9 players
18,455MVPs
4,555Hours (in match)
5,567Bombs planted
1,389Bombs defused

Most-used weapons

AK-4787,459
AWP42,965
P905,654
P2505,646
FAMAS5,019

Lifetime map wins

61,050dust2
2,583inferno
2,258vertigo
1,354nuke
1,116train
97cbble
94lake
67office

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

Faceit stats

Combat

541Matches
52%Win rate
1.31Avg K/D
78.2ADR
44%Headshot %

Clutches & streaks

55%1v1 clutch win
0%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust2875%0.9715.8
Mirage40%0.8114.8
Inferno1100%1.0912.0
Vertigo10%0.5910.0
Overpass1100%1.2832.0
Nuke1100%1.0016.0
Ancient10%1.0618.0

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.

26.6%Headshot accuracy
29.0%Accuracy (enemy spotted)
26.8%Spray accuracy
83.7%Counter-strafing
7.1°Preaim
600msReaction time
40.1%T opening success
56.4%CT opening success
0.87Enemies flashed / flash
14.1%Flash assists
9.39HE damage / grenade
13.20Flashes / match

Recommended for you

Spend your practice time on Mirage

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust212–12-0.0222%24 Sept →
dust210–130.0418%24 Aug →
dust212–120.1035%24 Aug →
dust211–13-0.0534%31 Jul →
dust210–130.0224%14 Jun →
mirage13–90.0328%14 Jun →
dust212–12-0.0823%14 Jun →
dust26–130.0436%12 Jun →
dust26–130.0124%12 Jun →
dust212–120.0115%12 Jun →
dust211–13-0.0525%12 Jun →
dust211–13-0.0134%12 Jun →
dust212–120.0143%3 Jun →
dust29–130.0217%3 Jun →
dust29–130.0141%3 Jun →
dust28–13-0.0331%23 May →
dust26–130.0222%23 May →
ancient8–13-0.0222%23 May →
dust213–110.0726%23 May →
cache13–2-0.0029%5 May →
dust212–120.1729%5 May →
dust213–50.1022%17 Apr →
dust213–90.0120%17 Apr →
ancient5–13-0.0223%16 Apr →
nuke6–13-0.0220%16 Apr →
mirage3–13-0.0429%16 Apr →
dust213–11-0.0017%16 Apr →
dust213–70.0125%11 Apr →
dust213–100.0136%11 Apr →
ancient13–6-0.0429%11 Apr →
ancient13–90.0333%11 Apr →
dust213–70.0414%11 Apr →
ancient10–130.0422%11 Apr →
dust213–110.0222%7 Apr →
dust213–100.0823%7 Apr →
dust213–110.0116%7 Apr →
mirage13–30.0927%7 Apr →
dust210–13-0.0114%7 Apr →
dust28–13-0.0331%7 Apr →
overpass9–130.0019%7 Apr →
dust213–70.0128%7 Apr →
mirage9–13-0.0114%3 Apr →
mirage8–130.0025%2 Apr →
ancient10–130.0018%2 Apr →
dust213–10-0.0411%2 Apr →
dust25–130.0335%2 Apr →
anubis10–13-0.0321%2 Apr →
ancient13–9-0.0317%2 Apr →
ancient13–80.0519%2 Apr →
nuke13–1-0.0317%2 Apr →
dust28–13-0.0134%2 Apr →
mirage4–13-0.0315%2 Apr →
mirage4–130.019%2 Apr →
ancient13–11-0.0412%2 Apr →
anubis9–130.0012%2 Apr →
dust213–90.0226%2 Apr →
dust213–70.0624%2 Apr →
dust25–13-0.0110%2 Apr →
dust213–70.0226%1 Apr →
dust213–100.0818%1 Apr →
anubis15–150.0118%1 Apr →
dust213–30.0130%1 Apr →
nuke7–13-0.0314%1 Apr →
ancient13–16-0.0218%1 Apr →
mirage13–100.0721%1 Apr →
mirage3–13-0.0110%31 Mar →
ancient13–80.0223%31 Mar →
dust29–13-0.0024%31 Mar →
dust213–90.0617%31 Mar →
dust26–13-0.0221%31 Mar →
dust213–100.0322%30 Mar →
nuke13–60.0225%30 Mar →
overpass13–160.0217%30 Mar →
ancient8–13-0.0124%30 Mar →
nuke13–70.0319%30 Mar →
dust25–130.0130%29 Mar →
dust29–130.0014%29 Mar →
dust213–16-0.0520%29 Mar →
dust29–130.0024%29 Mar →
mirage16–13-0.0322%29 Mar →
dust28–130.0032%29 Mar →
ancient13–10-0.0424%29 Mar →
dust28–130.0126%29 Mar →
nuke13–11-0.0610%29 Mar →
ancient9–13-0.0120%29 Mar →
ancient13–60.0313%29 Mar →
mirage8–130.0020%29 Mar →
nuke6–13-0.0012%29 Mar →
dust29–130.0319%27 Mar →
ancient13–20.0614%27 Mar →
dust213–20.0333%27 Mar →
ancient8–13-0.0216%27 Mar →
ancient4–13-0.0228%26 Mar →
dust213–30.0625%26 Mar →
dust213–100.0721%26 Mar →
dust210–13-0.0547%26 Mar →
dust26–13-0.0152%26 Mar →
nuke13–110.0527%25 Mar →
dust213–80.0127%25 Mar →
anubis13–8-0.0222%25 Mar →

Match data via Leetify.

Recent teammates

Milestones

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

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.