boobles

boobles — CS2 Stats

76561198134215712[U:1:173949984]Steam profile ↗✓ No bans

1,212Tracked matches41%Win rate2023Tracked since
665Hours in CS
CSDB Rating3.3 LearningPositional Player
CSDB Leaderboard#78551 of 260031 tracked
FaceitLevel 6 · 1,316 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 20,376 +269 27 Jun – 29 Jun · 3 days played
20,10720,730peak 20,73027 Jun29 Jun
20,730Peak Premier in tracked matches
1,316Highest Faceit ELO seen on CSDB
37Days played since 2025-11-11

Faceit ELO

  • At peak — 1,316
  • Next: Level 7 at 1,351 — 35 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

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 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate43.2%44.8%45.7%2.5% short
Shot accuracy2.7%12.4%12.7%10.0% short
Kill/death ratio0.811.031.050.24 short
Match win rate40.0%45.2%45.7%5.6% short

This profile sits below the typical Level 7 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGbooblesFACEITLevel 6 · 1,316 ELOSTANDINGTop 54.0% of rankedPEAK ELO1,316csdb.gg/stats

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Performance scores

Aim41
Positioning49
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY48–44–8Last 10048%Win rateLLTWWLWWLL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · +0.1pp headshot accuracy · −85ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 458ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 542ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 585ms

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 (+1.5 against its own average).

Aim4.1
Utility3.8
Positioning4.9
Opening Duels1.4
Clutch3.6

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

iM

Plays most like iM 78% 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

T-side openings. Opening success drops from 47% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 599ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.1
Positioning4.9
Utility3.8
Mechanics3.0
Opening Duels2.1
Win Impact1.9

Composite 3.3/10 (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-0.01+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time583ms−11ms
first ⅓ avg 594ms → last ⅓ avg 583ms
Headshot accuracy14.8%+2.0%
first ⅓ avg 12.9% → last ⅓ avg 14.8%

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

0.16Best match rating · 13–6 · nuke, 11 May →
28%Best headshot accuracy · 7–13 · dust2, 14 Dec →
391msFastest reaction time · 1–13 · nuke, 16 Apr →
13–0Biggest win · nuke, 11 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
8–7In matches decided by ≤2 rounds
3Overtime games

Map breakdown

mirageBest map · 50% over 34cacheWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB3417–1750%-0.02
nukeB2311–1248%-0.01
anubisB147–750%-0.02
dust2C104–640%-0.02
infernoC73–443%-0.03
cacheD62–433%-0.01
train—20–20%-0.00
ancient—22–0100%0.01
overpass—11–0100%0.03
vertigo—11–0100%-0.00

Across the last 100 tracked matches.

Lifetime stats

26,557Lifetime kills
0.81K/D
1,703Matches
40.0%Match win rate
43.2%Headshot %
2.7%Shot accuracy
2,592MVPs
665Hours (in match)
1,937Bombs planted
295Bombs defused

Most-used weapons

Lifetime map wins

2,408nuke
1,716inferno
1,191dust2
909vertigo
471train
25office
16italy
2ar_baggage

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

Faceit stats

Combat

291Matches
53%Win rate
0.88Avg K/D
69.1ADR
42%Headshot %

Clutches & streaks

38%1v1 clutch win
19%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage10054%0.8913.4
Anubis4556%0.9412.3
Nuke4455%0.8612.8
Dust23247%0.8612.4
Inferno2343%0.8013.1
Ancient1164%0.8214.8
Vertigo1040%1.0716.3
Overpass922%0.9014.7

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.

14.8%Headshot accuracy
32.8%Accuracy (enemy spotted)
34.9%Spray accuracy
63.6%Counter-strafing
11.8°Preaim
599msReaction time
20.7%T opening success
46.7%CT opening success
0.60Enemies flashed / flash
4.9%Flash assists
5.42HE damage / grenade
10.00Flashes / 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 14.8107% — 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 20.6664% — below the 40% mark we flag

Spend your practice time on Cache

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 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke8–130.0417%6 Sept →
mirage0–4-0.000%6 Sept →
mirage12–12-0.0624%11 Aug →
nuke13–90.0414%11 Aug →
nuke13–00.0127%11 Aug →
nuke8–13-0.0413%26 Jul →
anubis13–40.0011%26 Jul →
cache13–50.0219%26 Jul →
mirage11–130.0417%26 Jul →
train2–70.0119%26 Jul →
cache5–130.0418%26 Jul →
nuke4–13-0.0021%26 Jul →
nuke1–7-0.0417%29 Jun →
dust27–13-0.0411%29 Jun →
mirage9–13-0.0415%29 Jun →
ancient13–6-0.0226%28 Jun →
dust215–15-0.0514%28 Jun →
mirage8–13-0.052%28 Jun →
nuke13–11-0.0426%27 Jun →
mirage13–6-0.019%27 Jun →
anubis2–13-0.0011%27 Jun →
mirage13–5-0.0515%27 Jun →
anubis13–10-0.0110%27 Jun →
anubis9–13-0.0515%27 Jun →
nuke13–60.1614%11 May →
mirage6–13-0.0213%11 May →
cache12–12-0.0110%11 May →
mirage10–13-0.046%10 May →
cache13–9-0.0513%10 May →
cache2–13-0.0313%10 May →
cache11–13-0.0415%10 May →
dust212–12-0.0511%16 Apr →
nuke1–13-0.0925%16 Apr →
anubis13–11-0.0410%4 Apr →
mirage2–13-0.0911%4 Apr →
anubis13–80.017%3 Apr →
mirage13–2-0.0513%3 Apr →
anubis13–20.038%29 Mar →
nuke11–130.0619%29 Mar →
mirage13–10-0.0311%20 Mar →
nuke13–11-0.0611%20 Mar →
mirage13–10-0.017%16 Mar →
inferno13–11-0.026%16 Mar →
mirage13–9-0.076%15 Mar →
nuke13–10-0.019%15 Mar →
nuke13–70.009%15 Mar →
mirage13–100.0010%15 Mar →
inferno3–13-0.0911%14 Mar →
nuke13–30.1023%14 Mar →
inferno8–130.0217%13 Mar →
mirage3–13-0.070%13 Mar →
anubis10–13-0.045%13 Mar →
mirage9–13-0.0811%10 Mar →
nuke6–13-0.0515%10 Mar →
mirage16–14-0.015%10 Mar →
nuke13–9-0.0511%10 Mar →
inferno13–10-0.0511%9 Mar →
train11–13-0.0118%8 Mar →
nuke13–7-0.0718%8 Mar →
anubis13–20.0511%8 Mar →
dust213–50.0613%28 Feb →
nuke4–13-0.087%28 Feb →
mirage13–8-0.0323%28 Feb →
dust22–13-0.0617%27 Feb →
mirage5–13-0.0710%22 Feb →
overpass13–10.0316%22 Feb →
anubis13–8-0.035%21 Feb →
mirage13–8-0.036%31 Jan →
nuke9–13-0.0314%30 Jan →
mirage5–13-0.046%30 Jan →
nuke14–160.0011%25 Jan →
mirage13–80.028%24 Jan →
inferno12–120.018%18 Jan →
anubis10–13-0.0713%18 Jan →
mirage13–70.0412%18 Jan →
mirage13–50.049%18 Jan →
anubis8–13-0.0911%18 Jan →
nuke9–13-0.0414%4 Jan →
inferno7–13-0.0511%4 Jan →
mirage13–110.0414%4 Jan →
mirage13–80.0313%3 Jan →
dust213–100.0012%3 Jan →
dust213–60.0519%3 Jan →
mirage5–130.0126%28 Dec →
mirage3–130.0315%28 Dec →
dust27–13-0.0628%14 Dec →
inferno13–7-0.015%14 Dec →
vertigo13–11-0.0012%14 Dec →
dust213–10-0.0415%13 Dec →
mirage11–13-0.0520%13 Dec →
mirage13–110.0615%13 Dec →
mirage6–13-0.127%13 Dec →
nuke13–10-0.0320%13 Dec →
ancient13–70.0320%3 Dec →
anubis11–13-0.0413%16 Nov →
dust212–12-0.0511%16 Nov →
anubis4–13-0.058%16 Nov →
mirage13–50.018%11 Nov →
mirage12–12-0.0414%11 Nov →
nuke12–12-0.059%11 Nov →

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 →

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