b00m

b00m — CS2 Stats

US76561198254733324[U:1:294467596]Steam profile ↗✓ No bans

1,477Tracked matches55%Win rate2020Tracked since
3,491Hours in CS4Hrs last 2 wks
CSDB Rating6.5 SolidSupport
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (40 days ago). Ranks are recorded once per day this page is viewed.

+4Tracked matches · now 1,477
+5.2ppWin rate · 50.0% → 55.2%

Rating over time

Premier CS Rating: 24,521 +1,127 25 Feb – 15 May · 12 days played
21,55325,121peak 25,12125 Feb15 May
25,121Peak Premier in tracked matches
46Days played since 2026-02-25

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 8 among CSDB-tracked players (n=15,030), 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 8 medianLevel 9 medianvs Level 9
Headshot rate57.1%46.8%48.2%above
Shot accuracy12.7%13.0%13.3%0.6% short
Kill/death ratio1.431.061.07above
Match win rate51.4%46.3%46.9%above

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGb00mFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.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

Aim67
Positioning66
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY58–38–4Last 10058%Win rateWWLTLWWLLL

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · −2.8pp headshot accuracy · +105ms reaction

Win rate down 20pp 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 617ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 634ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 581ms

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 (+0.8 against its own average).

Aim6.7
Utility6.9
Positioning6.6
Opening Duels6.0
Clutch4.8

Strong 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

m0NESY

Plays most like m0NESY 77% 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

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 64% on CT to 33% 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

Aim6.7
Positioning6.6
Utility6.9
Mechanics6.9
Opening Duels4.6
Win Impact6.7

Composite 6.5/10 (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 rating0.01−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time598ms+24ms
first ⅓ avg 575ms → last ⅓ avg 598ms
Headshot accuracy14.5%−2.4%
first ⅓ avg 16.9% → last ⅓ avg 14.5%

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

0.20Best match rating · 4–1 · inferno, 25 Feb →
36%Best headshot accuracy · 4–1 · inferno, 25 Feb →
414msFastest reaction time · 16–12 · ancient, 3 May →
13–2Biggest win · mirage, 23 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
8–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 80% over 10anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB3116–1552%0.01
cacheB2111–1052%0.03
dust2A149–564%0.03
infernoA116–555%0.03
ancientS108–280%0.03
anubisD51–420%-0.02
nuke—43–175%0.01
overpass—33–0100%0.00
train—11–0100%0.09

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

105,627Lifetime kills
1.43K/D · Top 10% of Level 8 players
3,047Matches
51.4%Match win rate · Top 25% of Level 8 players
57.1%Headshot % · Top 25% of Level 8 players
12.7%Shot accuracy
11,344MVPs
1,742Hours (in match)
5,722Bombs planted
1,075Bombs defused

Most-used weapons

AK-4737,216
AWP3,551
FAMAS2,647
P2502,380
MP92,149

Lifetime map wins

5,852inferno
5,570dust2
819train
762vertigo
558nuke
133cbble
102lake
55office

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

Faceit stats

Combat

254Matches
56%Win rate
1.30Avg K/D
96.0ADR
42%Headshot %

Clutches & streaks

44%1v1 clutch win
36%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage862%1.3020.5
Dust2786%1.4617.6
Ancient3100%1.1216.3
Nuke250%1.1618.0
Overpass2100%1.6820.5
Inferno10%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.

13.7%Headshot accuracy
34.1%Accuracy (enemy spotted)
40.7%Spray accuracy
81.2%Counter-strafing
9.5°Preaim
600msReaction time
32.7%T opening success
63.9%CT opening success
0.67Enemies flashed / flash
7.7%Flash assists
13.68HE damage / grenade
10.12Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.6688% — below the 15% mark we flag

    Aim Training →
  2. 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 32.7238% — below the 40% mark we flag

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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–100.0511%12 Oct →
mirage13–4-0.0215%5 Oct →
inferno10–13-0.027%24 Sept →
dust212–120.0311%8 Sept →
mirage8–13-0.0914%25 Aug →
mirage13–50.048%24 Aug →
mirage13–2-0.0121%23 Aug →
mirage8–13-0.0311%22 Aug →
cache6–130.0016%21 Aug →
mirage10–13-0.0216%21 Aug →
cache13–30.0214%19 Aug →
mirage13–100.1026%19 Aug →
mirage1–100.068%19 Aug →
cache13–10-0.0311%19 Aug →
cache13–90.0915%17 Aug →
mirage8–10.1214%13 Aug →
cache13–30.0425%13 Aug →
mirage9–13-0.0117%4 Aug →
dust211–130.0614%21 Jul →
cache2–11-0.1014%20 Jul →
mirage8–13-0.0211%11 Jul →
mirage13–80.0116%8 Jul →
cache13–30.0816%8 Jul →
cache5–13-0.0313%4 Jul →
mirage5–130.089%2 Jul →
cache6–130.0118%2 Jul →
cache13–100.0518%22 Jun →
cache13–20.119%18 Jun →
dust213–50.0810%11 Jun →
mirage13–11-0.053%11 Jun →
mirage0–13-0.0426%11 Jun →
cache13–50.0010%11 Jun →
inferno0–6-0.0930%11 Jun →
dust23–13-0.048%10 Jun →
mirage13–110.0314%24 May →
cache12–120.0416%24 May →
cache13–6-0.0217%16 May →
mirage13–50.0012%15 May →
cache7–130.1014%15 May →
cache7–130.1323%6 May →
mirage9–130.0721%6 May →
cache13–40.0813%6 May →
inferno7–130.0527%6 May →
cache8–13-0.0314%6 May →
cache13–100.0111%3 May →
nuke13–100.0614%3 May →
ancient16–120.068%3 May →
mirage9–13-0.0212%3 May →
inferno13–70.0513%3 May →
mirage13–100.0010%3 May →
overpass16–140.038%3 May →
ancient11–13-0.0114%2 May →
mirage13–70.0320%2 May →
cache12–120.0918%29 Apr →
cache11–13-0.0213%29 Apr →
anubis8–130.0326%26 Apr →
inferno13–40.0913%26 Apr →
nuke13–11-0.0116%26 Apr →
ancient13–70.0210%25 Apr →
inferno13–80.049%25 Apr →
overpass13–30.0113%25 Apr →
ancient5–13-0.0413%23 Apr →
inferno13–80.0617%23 Apr →
anubis14–16-0.068%19 Apr →
nuke5–13-0.0112%18 Apr →
mirage14–16-0.0016%23 Mar →
mirage13–9-0.0125%18 Mar →
inferno14–16-0.0717%18 Mar →
inferno13–80.0217%17 Mar →
dust213–10-0.0518%8 Mar →
mirage6–13-0.0217%8 Mar →
dust213–110.0315%4 Mar →
inferno10–130.0012%4 Mar →
train13–80.0917%4 Mar →
ancient13–70.0211%3 Mar →
nuke13–110.0117%3 Mar →
ancient13–100.039%3 Mar →
dust213–50.1021%2 Mar →
dust210–13-0.0522%2 Mar →
dust213–90.0722%2 Mar →
dust22–13-0.0118%2 Mar →
mirage16–14-0.0518%2 Mar →
ancient13–70.1214%1 Mar →
anubis2–130.0013%1 Mar →
ancient13–110.0114%1 Mar →
ancient13–90.0516%1 Mar →
mirage13–70.1413%27 Feb →
mirage13–70.0619%27 Feb →
anubis12–12-0.128%26 Feb →
ancient13–20.0635%26 Feb →
dust213–90.0316%26 Feb →
overpass13–10-0.036%26 Feb →
dust213–60.0916%26 Feb →
mirage10–130.0111%26 Feb →
mirage13–7-0.0019%25 Feb →
dust213–30.0123%25 Feb →
dust213–30.1322%25 Feb →
mirage11–130.0014%25 Feb →
inferno4–10.2036%25 Feb →
mirage4–13-0.0312%25 Feb →

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.