Bl00my

Bl00my — CS2 Stats

DE76561197975010443[U:1:14744715]Steam profile ↗✓ No bans

922Tracked matches43%Win rate2021Tracked since
CSDB Rating4.1 DevelopingPositional Player
Premier CS Rating8,757Light Blue band · top ~60.8% of ranked players (population est.)
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+241Premier CS Rating · 8,516 → 8,757

Rating over time

Premier CS Rating: 8,757 -1,827 2 Aug – 4 Nov · 37 days played
7,69212,511peak 12,5112 Aug4 Nov
12,689Peak Premier in tracked matches
35Days played since 2026-08-02

Premier CS Rating

  • 3,754 below peak (12,511)
  • +1,028 over 30 days · improving
  • -2,084 over 90 days
  • Next: Blue band at 10,000 — 1,243 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-01
  • Light Blue band first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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CSDB.GGBl00myPREMIER8,757 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim49
Positioning54
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY39–57–4Last 10039%Win rateLWWWLLWWLL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −3.8pp headshot accuracy · −50ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 580ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 593ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 618ms

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 (+1.9 against its own average).

Aim4.9
Utility4.4
Positioning5.4
Opening Duels0.7

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 57% on T to 28% on CT — first contacts on the defending side are being lost.

Reaction time. 603ms 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

Aim4.9
Positioning5.4
Utility4.4
Mechanics4.8
Opening Duels3.3
Win Impact2.8

Composite 4.1/10 (Developing), 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-0.02+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time614ms−19ms
first ⅓ avg 633ms → last ⅓ avg 614ms
Headshot accuracy15.8%+1.3%
first ⅓ avg 14.5% → last ⅓ avg 15.8%

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

0.09Best match rating · 13–0 · nuke, 12 Sept →
33%Best headshot accuracy · 9–13 · inferno, 24 Sept →
422msFastest reaction time · 13–3 · inferno, 12 Aug →
13–0Biggest win · nuke, 12 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
7–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 53% over 15mirageWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
infernoC187–1139%-0.03
ancientB178–947%-0.01
anubisD165–1131%-0.03
dust2B158–753%-0.01
cacheC145–936%-0.03
nukeB115–645%-0.03
mirageD91–811%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (11% over 9). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.9%Headshot accuracy
30.3%Accuracy (enemy spotted)
35.5%Spray accuracy
71.6%Counter-strafing
10.4°Preaim
603msReaction time
56.6%T opening success
27.7%CT opening success
0.50Enemies flashed / flash
1.9%Flash assists
8.18HE damage / grenade
6.92Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 27.7353% — below the 40% mark we flag

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.

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient4–130.0216%4 Nov →
inferno13–5-0.0515%4 Nov →
ancient13–7-0.0321%3 Nov →
ancient13–90.0021%3 Nov →
cache9–13-0.0316%3 Nov →
nuke13–16-0.0512%2 Nov →
ancient13–11-0.0213%2 Nov →
dust216–14-0.0213%28 Sept →
dust26–13-0.0514%26 Sept →
mirage11–13-0.039%24 Sept →
inferno9–13-0.0833%24 Sept →
cache11–130.0615%21 Sept →
dust210–130.0415%21 Sept →
nuke13–60.0118%19 Sept →
anubis13–110.0118%19 Sept →
inferno9–13-0.0719%19 Sept →
ancient6–130.0111%19 Sept →
dust213–100.0123%19 Sept →
mirage9–13-0.0821%18 Sept →
anubis13–100.0414%18 Sept →
inferno10–13-0.0128%18 Sept →
mirage8–130.007%16 Sept →
mirage13–30.0017%16 Sept →
ancient11–13-0.0415%14 Sept →
inferno10–13-0.049%14 Sept →
nuke4–13-0.103%14 Sept →
inferno13–7-0.0614%14 Sept →
dust213–110.0616%13 Sept →
anubis10–13-0.0319%13 Sept →
nuke13–7-0.0013%13 Sept →
anubis6–13-0.0715%13 Sept →
nuke13–00.0917%12 Sept →
cache10–13-0.0414%12 Sept →
ancient9–13-0.025%12 Sept →
cache5–13-0.126%10 Sept →
inferno9–13-0.0413%7 Sept →
ancient8–130.0115%7 Sept →
ancient11–13-0.0218%6 Sept →
inferno15–15-0.0522%6 Sept →
ancient13–30.0212%6 Sept →
dust26–13-0.0721%5 Sept →
cache13–10-0.0222%5 Sept →
ancient8–130.0020%5 Sept →
anubis0–13-0.0324%5 Sept →
anubis10–13-0.0414%22 Aug →
mirage11–13-0.0219%22 Aug →
cache13–10-0.0310%22 Aug →
dust213–8-0.0320%22 Aug →
dust28–13-0.0416%22 Aug →
inferno10–13-0.0020%20 Aug →
inferno3–13-0.0329%19 Aug →
mirage13–16-0.0414%18 Aug →
inferno13–30.0015%17 Aug →
ancient9–130.0612%17 Aug →
dust213–60.0328%17 Aug →
cache4–13-0.0513%17 Aug →
cache8–13-0.0713%16 Aug →
anubis3–13-0.0520%16 Aug →
anubis5–13-0.0717%16 Aug →
nuke11–13-0.064%14 Aug →
nuke13–8-0.088%14 Aug →
dust213–8-0.0417%14 Aug →
anubis13–7-0.0616%14 Aug →
inferno9–13-0.0217%14 Aug →
nuke16–12-0.0910%13 Aug →
ancient13–11-0.037%13 Aug →
cache6–13-0.0511%13 Aug →
cache6–13-0.0314%12 Aug →
inferno13–30.035%12 Aug →
inferno13–11-0.0015%12 Aug →
dust23–13-0.0312%11 Aug →
mirage15–15-0.0421%11 Aug →
inferno13–100.0015%10 Aug →
dust28–13-0.0417%10 Aug →
anubis7–13-0.0117%10 Aug →
mirage8–13-0.0223%10 Aug →
anubis13–10-0.0214%10 Aug →
nuke15–150.0416%9 Aug →
nuke5–13-0.097%9 Aug →
cache13–5-0.017%9 Aug →
inferno10–13-0.0814%8 Aug →
anubis9–13-0.0512%7 Aug →
ancient13–70.009%7 Aug →
dust216–120.0324%7 Aug →
dust213–7-0.0217%5 Aug →
ancient8–13-0.0812%5 Aug →
anubis10–13-0.0019%5 Aug →
nuke7–13-0.0311%5 Aug →
anubis4–13-0.0025%4 Aug →
anubis15–15-0.035%4 Aug →
ancient13–10-0.0312%4 Aug →
anubis13–8-0.0810%4 Aug →
inferno4–130.0111%4 Aug →
cache13–9-0.0112%4 Aug →
inferno13–4-0.1112%3 Aug →
ancient13–20.0213%3 Aug →
cache11–13-0.0321%3 Aug →
dust210–130.0023%2 Aug →
cache16–14-0.0313%2 Aug →
mirage7–13-0.0423%2 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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