biibelbrox

biibelbrox — CS2 Stats

76561197973903684[U:1:13637956]Steam profile ↗✓ No bans

1,828Tracked matches20%Win rate2020Tracked since
3,527Hours in CS10Hrs last 2 wks
CSDB Rating2.6 LearningClutch Specialist
Premier CS Rating2,495Grey band · top ~89.4% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanSilver IV
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (2 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: 2,495 -4,218 5 Jul – 4 Nov · 31 days played
2,4796,713peak 6,7135 Jul4 Nov
6,713Peak Premier in tracked matches
39Days played since 2026-07-05

Premier CS Rating

  • 4,218 below peak (6,713)
  • -947 over 30 days · declining
  • -784 over 90 days
  • Next: Light Blue band at 5,000 — 2,505 to go
  • Reached: 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 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate45.1%42.7%43.8%above
Shot accuracy12.4%11.2%12.0%above
Kill/death ratio0.600.991.020.42 short
Match win rate31.3%43.9%44.7%13.4% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGbiibelbroxFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER2,495 · Grey 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

Aim25
Positioning32
Utility33

0–100 skill scores via Leetify.

Recent form

COLD33–65–2Last 10033%Win rateWLLLLLLLLL

Last 10 vs previous 10: −40pp win rate · −0.02 avg rating · −0.7pp headshot accuracy · −84ms reaction

Win rate down 40pp 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 -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 735ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 689ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 731ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+5.9 against its own average).

Aim2.5
Utility3.3
Positioning3.2
Opening Duels0.0
Clutch10.0

Limited utility dependenceReliable 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

iM

Plays most like iM 75% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

CT openings. Opening success drops from 32% on T to 13% on CT — first contacts on the defending side are being lost.

Reaction time. 755ms 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

Aim2.5
Positioning3.2
Utility3.3
Mechanics6.7
Opening Duels0.2
Win Impact0.0

Composite 2.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time752ms−20ms
first ⅓ avg 772ms → last ⅓ avg 752ms
Headshot accuracy14.7%−1.7%
first ⅓ avg 16.4% → last ⅓ avg 14.7%

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

0.09Best match rating · 13–7 · cache, 17 Oct →
30%Best headshot accuracy · 3–13 · dust2, 16 Jul →
516msFastest reaction time · 6–13 · ancient, 1 Nov →
13–2Biggest win · inferno, 9 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 67% over 12ancientWeakest map · 13% over 15
MapGradePlayedRecordWin rateAvg rating
infernoC198–1142%-0.03
nukeD186–1233%-0.03
dust2D155–1033%-0.04
ancientD152–1313%-0.04
cacheS128–467%-0.02
anubisD112–918%-0.04
mirageD102–820%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (13% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

65,096Lifetime kills
0.60K/D
4,842Matches
31.3%Match win rate
45.1%Headshot % · Top 50% of Level 4 players
12.4%Shot accuracy · Top 50% of Level 4 players
5,298MVPs
1,794Hours (in match)
5,250Bombs planted
658Bombs defused

Most-used weapons

Lifetime map wins

10,773dust2
6,160inferno
5,640nuke
2,012vertigo
1,647train
119cbble
71lake
63office

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

Faceit stats

Combat

13Matches
8%Win rate
0.54Avg K/D
48.9ADR
44%Headshot %

Clutches & streaks

83%1v1 clutch win
10%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno30%0.568.3
Nuke30%0.385.7
Ancient333%0.7912.0
Mirage10%0.8416.0
Anubis10%0.5910.0

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.

14.7%Headshot accuracy
30.2%Accuracy (enemy spotted)
28.2%Spray accuracy
80.3%Counter-strafing
13.4°Preaim
755msReaction time
31.7%T opening success
13.4%CT opening success
0.45Enemies flashed / flash
6.0%Flash assists
3.79HE damage / grenade
3.42Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.4053° — above the 12° mark we flag

    Aim Training →
  2. 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 14.7379% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 754.6299ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Ancient

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

13% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache16–12-0.019%4 Nov →
dust28–13-0.0614%4 Nov →
dust29–13-0.0614%4 Nov →
dust211–130.0114%1 Nov →
ancient6–13-0.0615%1 Nov →
ancient4–13-0.0610%1 Nov →
dust29–13-0.079%27 Oct →
dust27–13-0.0217%24 Oct →
inferno8–13-0.0116%24 Oct →
mirage2–13-0.0411%23 Oct →
mirage13–70.0218%23 Oct →
nuke6–13-0.0511%23 Oct →
cache13–5-0.0215%19 Oct →
mirage6–13-0.0113%18 Oct →
cache13–80.0116%18 Oct →
cache10–13-0.026%18 Oct →
nuke13–8-0.0512%17 Oct →
ancient7–13-0.0611%17 Oct →
cache13–70.0929%17 Oct →
inferno3–13-0.066%17 Oct →
inferno11–13-0.0425%17 Oct →
mirage11–13-0.0417%15 Oct →
dust28–13-0.0515%15 Oct →
dust24–13-0.0814%15 Oct →
ancient9–13-0.0621%13 Oct →
inferno6–13-0.1022%13 Oct →
inferno5–130.018%12 Oct →
dust22–13-0.0614%12 Oct →
mirage5–13-0.0717%12 Oct →
nuke11–13-0.0620%9 Oct →
inferno4–13-0.0817%9 Oct →
mirage5–13-0.1111%26 Sept →
dust213–110.0217%26 Sept →
inferno14–16-0.0720%25 Sept →
ancient2–13-0.0425%25 Sept →
cache1–13-0.0813%25 Sept →
ancient15–15-0.0518%18 Sept →
anubis3–13-0.0625%18 Sept →
cache13–100.0123%18 Sept →
dust210–130.0317%17 Sept →
nuke13–9-0.0416%17 Sept →
mirage8–13-0.0817%17 Sept →
inferno11–130.0029%16 Sept →
dust211–4-0.0522%16 Sept →
inferno2–13-0.0616%15 Sept →
nuke7–130.0320%15 Sept →
nuke13–16-0.0420%13 Sept →
nuke16–130.0021%12 Sept →
ancient13–10-0.0622%12 Sept →
anubis13–7-0.0525%12 Sept →
nuke13–7-0.0123%12 Sept →
mirage13–110.0117%12 Sept →
nuke8–13-0.0916%11 Sept →
inferno13–20.0616%9 Sept →
anubis5–130.0418%9 Sept →
cache9–13-0.0413%9 Sept →
ancient4–13-0.0823%4 Sept →
nuke5–13-0.0115%4 Sept →
ancient13–70.0922%4 Sept →
inferno8–130.0114%4 Sept →
anubis6–13-0.086%4 Sept →
inferno13–10-0.0019%4 Sept →
dust213–11-0.0219%4 Sept →
anubis7–13-0.0712%3 Sept →
nuke1–13-0.0526%3 Sept →
ancient5–13-0.0518%3 Sept →
cache13–3-0.0710%27 Aug →
dust213–10-0.1114%27 Aug →
anubis13–70.0316%25 Aug →
cache13–5-0.0116%25 Aug →
ancient4–13-0.047%25 Aug →
cache15–15-0.0225%23 Aug →
nuke13–7-0.0011%23 Aug →
inferno9–6-0.1022%23 Aug →
mirage7–13-0.0522%21 Aug →
inferno16–14-0.0229%20 Aug →
anubis8–13-0.1013%20 Aug →
nuke10–13-0.0515%20 Aug →
nuke3–13-0.0415%19 Aug →
ancient0–13-0.1017%19 Aug →
anubis9–13-0.038%10 Aug →
ancient5–13-0.0820%10 Aug →
mirage10–13-0.0312%8 Aug →
nuke1–13-0.089%8 Aug →
nuke7–13-0.0011%7 Aug →
anubis6–13-0.0323%7 Aug →
ancient8–13-0.0113%2 Aug →
nuke13–9-0.0115%2 Aug →
nuke6–13-0.0016%2 Aug →
anubis8–130.0218%2 Aug →
inferno12–16-0.0019%23 Jul →
anubis5–13-0.0512%23 Jul →
cache16–14-0.0416%17 Jul →
inferno9–10.0518%17 Jul →
inferno16–12-0.0817%16 Jul →
inferno13–6-0.0112%16 Jul →
dust23–13-0.0730%16 Jul →
ancient9–13-0.0121%14 Jul →
inferno13–7-0.0312%14 Jul →
dust213–6-0.0618%5 Jul →

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.