BļuuLV

BļuuLV — CS2 Stats

LV76561198824529446[U:1:864263718]Steam profile ↗✓ No bans

394Tracked matches54%Win rate2020Tracked since
2,216Hours in CS25Hrs last 2 wks
CSDB Rating5.6 SolidClutch Specialist
Premier CS Rating17,041Purple band · top ~20.3% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 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: 17,041 +1,094 10 Aug – 26 Oct · 33 days played
13,85117,657peak 17,65710 Aug26 Oct
17,764Peak Premier in tracked matches
34Days played since 2026-08-10

Premier CS Rating

  • 616 below peak (17,657)
  • +2,084 over 30 days · improving
  • +1,094 over 90 days
  • Next: Pink band at 20,000 — 2,959 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-17
  • Light Blue band first seen 2026-09-17

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 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate38.0%43.8%44.8%6.8% short
Shot accuracy17.5%12.0%12.4%above
Kill/death ratio1.221.021.03above
Match win rate63.2%44.7%45.2%above

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBļuuLVFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER17,041 · Purple 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

Aim63
Positioning48
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY47–47–6Last 10047%Win rateLTLTTWLWWW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −0.6pp headshot accuracy · −22ms reaction

Win rate 0pp 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

  • 0–2–3 · 0% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 597ms

Last 10

  • 4–3–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 607ms

Last 20

  • 8–9–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • 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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.4 against its own average).

Aim6.3
Utility4.6
Positioning4.8
Opening Duels3.0
Clutch6.0

Limited utility dependence

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

Twistzz

Plays most like Twistzz 94% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

Reaction time. 607ms 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

Aim6.3
Positioning4.8
Utility4.6
Mechanics7.0
Opening Duels3.6
Win Impact6.3

Composite 5.6/10 (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+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time612ms+14ms
first ⅓ avg 599ms → last ⅓ avg 612ms
Headshot accuracy18.4%+0.6%
first ⅓ avg 17.8% → last ⅓ avg 18.4%

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

0.14Best match rating · 4–2 · inferno, 19 Sept →
35%Best headshot accuracy · 13–8 · cache, 1 Oct →
438msFastest reaction time · 5–13 · office, 18 Sept →
13–1Biggest win · cache, 18 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–3In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 63% over 16ancientWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
cacheB189–950%-0.00
infernoA1610–663%0.01
ancientD164–1225%-0.02
mirageB147–750%0.00
anubisC135–838%0.01
nukeB115–645%0.02
dust2A106–460%-0.00
train—11–0100%0.07
office—10–10%-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

56,615Lifetime kills
1.22K/D · Top 25% of Level 5 players
3,756Matches
63.2%Match win rate · Top 5% of Level 5 players
38.0%Headshot %
17.5%Shot accuracy · Top 25% of Level 5 players
7,296MVPs
2,567Hours (in match)
3,157Bombs planted
721Bombs defused

Most-used weapons

AK-4711,766
AWP9,597
P2502,140
AUG1,634
FAMAS1,602
MAC-101,534

Lifetime map wins

4,543inferno
3,550dust2
1,542nuke
1,360office
903train
740vertigo
281cbble
108italy

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

Faceit stats

Combat

327Matches
52%Win rate
1.05Avg K/D
81.5ADR
39%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage367%1.2014.7
Dust23100%1.3017.0
Nuke250%0.8516.0
Ancient20%0.8214.0
Anubis250%1.1413.0
Cache1100%1.3822.0

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.

17.3%Headshot accuracy
33.7%Accuracy (enemy spotted)
30.8%Spray accuracy
81.6%Counter-strafing
9.7°Preaim
607msReaction time
44.6%T opening success
44.4%CT opening success
0.53Enemies flashed / flash
6.4%Flash assists
8.75HE damage / grenade
4.20Flashes / match

Recommended for you

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.

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis9–13-0.0121%26 Oct →
inferno15–15-0.0016%26 Oct →
dust211–130.0019%25 Oct →
inferno15–15-0.0212%24 Oct →
mirage15–15-0.019%24 Oct →
dust213–10-0.0327%24 Oct →
anubis8–130.0219%23 Oct →
dust213–80.0824%23 Oct →
anubis13–80.0323%23 Oct →
mirage16–130.0316%23 Oct →
dust213–5-0.0417%23 Oct →
anubis13–30.0920%22 Oct →
anubis7–130.0215%18 Oct →
cache13–10.1129%18 Oct →
ancient9–13-0.0317%18 Oct →
nuke13–100.0215%17 Oct →
inferno7–130.0117%16 Oct →
anubis12–16-0.0518%16 Oct →
cache9–13-0.0823%16 Oct →
dust24–13-0.0423%16 Oct →
nuke13–50.0514%16 Oct →
cache16–14-0.0515%16 Oct →
mirage13–10.0228%16 Oct →
cache13–80.0120%14 Oct →
mirage3–13-0.0619%14 Oct →
ancient6–130.0320%14 Oct →
anubis10–13-0.047%14 Oct →
inferno13–20.006%14 Oct →
nuke15–150.0011%14 Oct →
mirage13–6-0.0115%11 Oct →
nuke13–50.0234%11 Oct →
cache13–80.1121%11 Oct →
ancient9–130.0217%11 Oct →
anubis13–9-0.0220%11 Oct →
inferno13–9-0.0124%11 Oct →
mirage4–13-0.0314%11 Oct →
inferno6–13-0.098%10 Oct →
dust213–7-0.0118%9 Oct →
inferno7–13-0.0313%9 Oct →
cache9–13-0.0125%9 Oct →
inferno13–60.0221%9 Oct →
ancient5–13-0.078%7 Oct →
cache5–13-0.0623%7 Oct →
anubis9–130.0213%7 Oct →
mirage13–1-0.0620%6 Oct →
inferno16–14-0.0323%6 Oct →
nuke13–80.0427%6 Oct →
cache13–16-0.0621%6 Oct →
cache9–130.0516%6 Oct →
inferno13–30.109%5 Oct →
mirage10–10.079%5 Oct →
nuke13–8-0.0112%5 Oct →
ancient4–13-0.0816%5 Oct →
mirage13–60.0821%5 Oct →
ancient7–13-0.0518%3 Oct →
cache9–13-0.0423%2 Oct →
cache13–8-0.0135%1 Oct →
ancient16–14-0.0512%1 Oct →
mirage13–30.0623%1 Oct →
ancient11–20.0313%26 Sept →
inferno15–150.0116%22 Sept →
nuke7–13-0.0115%19 Sept →
mirage4–13-0.079%19 Sept →
inferno4–20.1428%19 Sept →
cache13–100.0210%18 Sept →
train13–70.0718%18 Sept →
office5–13-0.0720%18 Sept →
ancient11–130.0524%10 Sept →
mirage8–13-0.0021%9 Sept →
inferno13–30.0920%9 Sept →
cache13–6-0.0317%9 Sept →
dust25–13-0.0328%24 Aug →
inferno13–50.0420%24 Aug →
ancient11–13-0.0713%24 Aug →
inferno13–6-0.0211%23 Aug →
nuke9–130.0510%23 Aug →
cache13–80.0216%23 Aug →
ancient13–9-0.0324%23 Aug →
anubis16–14-0.0019%21 Aug →
dust215–150.0112%21 Aug →
cache3–13-0.0624%17 Aug →
cache9–130.0221%16 Aug →
ancient2–13-0.0224%16 Aug →
nuke9–13-0.0115%16 Aug →
anubis13–110.0510%15 Aug →
mirage9–130.0423%15 Aug →
dust213–1-0.0113%15 Aug →
ancient13–70.0119%15 Aug →
anubis7–13-0.0715%15 Aug →
nuke9–130.0816%13 Aug →
cache13–160.0216%13 Aug →
ancient7–13-0.0810%13 Aug →
ancient6–13-0.043%12 Aug →
cache13–6-0.0418%12 Aug →
inferno13–9-0.0522%12 Aug →
anubis8–130.0925%11 Aug →
nuke6–130.0113%11 Aug →
mirage6–13-0.0514%11 Aug →
dust213–110.0222%11 Aug →
ancient8–130.0423%10 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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