Black|Label™12

Black|Label™12 — CS2 Stats

DE76561197971022994[U:1:10757266]Steam profile ↗✓ No bans

2,365Tracked matches50%Win rate2022Tracked since
6,184Hours in CS46Hrs last 2 wks
CSDB Rating5.0 DevelopingSupport
Premier CS Rating16,346Purple band · top ~23% of ranked players (population est.)
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (3 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 23 days played since 27 Aug 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 16,346 -1,211 27 Aug21 Sept · 23 days played
14,53818,114peak 18,11427 Aug21 Sept
18,318Peak Premier in tracked matches
23Days played since 2026-08-27

Premier CS Rating

  • 1,768 below peak (18,114)
  • -1,211 over 30 days · declining
  • Next: Pink band at 20,000 3,654 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • 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.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate33.5%44.3%46.9%13.4% short
Shot accuracy11.4%11.8%13.0%1.6% short
Kill/death ratio0.971.031.080.11 short
Match win rate44.5%45.2%46.7%2.2% short

This profile sits below the typical Pink band player on every metric we can compare.

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

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CSDB.GGBlack|Label™12PREMIER16,346 · Purple bandcsdb.gg/stats

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Performance scores

Aim47
Positioning57
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY41545Last 10041%Win rateWLLWLWWLLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +2.7pp headshot accuracy · −56ms 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

  • 23 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 12%
  • Avg reaction 538ms

Last 10

  • 55 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 567ms

Last 20

  • 1091 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 595ms

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: SupportUtility contribution stands above the rest of this profile (+1 against its own average).

Aim4.7
Utility6.0
Positioning5.7
Opening Duels3.0
Clutch5.2

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

NiKo

Plays most like NiKo 68% 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

Reaction time. 602ms 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

Aim4.7
Positioning5.7
Utility6.0
Mechanics4.7
Opening Duels3.1
Win Impact5.0

Composite 5.0/10 (Developing), 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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time604ms−54ms
first ⅓ avg 658ms → last ⅓ avg 604ms
Headshot accuracy11.3%−1.3%
first ⅓ avg 12.6% → last ⅓ avg 11.3%

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

0.15Best match rating · 13–2 · ancient, 1 Sept
26%Best headshot accuracy · 8–13 · dust2, 9 Sept
438msFastest reaction time · 13–9 · inferno, 5 Sept
13–1Biggest win · inferno, 20 Sept

Across the last 100 tracked matches.

Highlights

4Longest win streak
78In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 57% over 7infernoWeakest map · 32% over 28
MapGradePlayedRecordWin rateAvg rating
dust2B38172145%-0.01
infernoD2891932%0.01
nukeB147750%-0.00
cacheD93633%0.00
ancientA74357%0.02
mirage21150%-0.01
anubis2020%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (32% over 28). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

112,460Lifetime kills
0.97K/D
6,545Matches
44.5%Match win rate
33.5%Headshot %
11.4%Shot accuracy
12,851MVPs
2,806Hours (in match)
10,664Bombs planted
1,451Bombs defused

Most-used weapons

AK-4724,288
Galil AR10,394
FAMAS8,835
AWP3,575
MP73,230
P903,071

Lifetime map wins

22,507dust2
16,866inferno
3,065nuke
1,192cbble
785vertigo
523train
249office
95dust

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

Faceit stats

Combat

89Matches
48%Win rate
0.96Avg K/D
75.8ADR
34%Headshot %

Clutches & streaks

46%1v1 clutch win
32%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis2339%0.8312.4
Inferno1958%1.0014.4
Dust21354%1.1716.1
Ancient1225%0.7812.0
Nuke475%1.0013.0
Mirage10%0.578.0
Overpass10%0.507.0

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.

10.6%Headshot accuracy
33.7%Accuracy (enemy spotted)
33.7%Spray accuracy
71.0%Counter-strafing
9.9°Preaim
602msReaction time
40.0%T opening success
44.9%CT opening success
0.54Enemies flashed / flash
5.0%Flash assists
9.54HE damage / grenade
10.61Flashes / 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 10.6035% — below the 15% mark we flag

    Aim Training
Spend your practice time on Inferno

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

32% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno16–13-0.0011%21 Sept
dust29–13-0.0016%21 Sept
inferno8–130.027%20 Sept
inferno13–10.1417%20 Sept
inferno5–13-0.0411%20 Sept
dust213–7-0.029%20 Sept
ancient13–11-0.0011%20 Sept
nuke10–130.0314%19 Sept
cache2–13-0.0910%19 Sept
dust213–11-0.0214%19 Sept
dust213–11-0.0511%17 Sept
inferno6–13-0.0410%17 Sept
dust215–15-0.027%16 Sept
ancient10–130.0210%16 Sept
inferno5–13-0.079%16 Sept
dust213–8-0.008%16 Sept
inferno13–80.089%15 Sept
inferno13–40.036%15 Sept
cache13–70.0412%15 Sept
inferno5–130.0613%15 Sept
dust213–70.0316%15 Sept
inferno15–15-0.047%14 Sept
dust26–13-0.029%14 Sept
cache10–13-0.028%14 Sept
nuke13–100.0114%14 Sept
ancient13–110.017%14 Sept
inferno8–13-0.0214%14 Sept
dust216–130.038%14 Sept
dust27–130.0218%13 Sept
dust210–13-0.0110%13 Sept
dust213–80.0113%12 Sept
dust216–120.0416%12 Sept
inferno5–13-0.0420%12 Sept
dust29–13-0.047%12 Sept
inferno7–13-0.0116%11 Sept
dust216–13-0.006%11 Sept
dust27–13-0.0415%11 Sept
cache8–130.0314%11 Sept
cache13–70.0714%10 Sept
nuke13–30.139%10 Sept
dust23–13-0.0421%10 Sept
nuke13–70.0023%10 Sept
inferno11–13-0.024%10 Sept
inferno4–13-0.0412%10 Sept
nuke4–13-0.0519%9 Sept
dust28–13-0.0026%9 Sept
nuke13–6-0.039%9 Sept
inferno9–13-0.0311%9 Sept
cache2–13-0.074%9 Sept
nuke13–110.0517%8 Sept
cache4–13-0.049%8 Sept
dust213–9-0.0212%8 Sept
nuke13–90.019%8 Sept
dust29–130.069%8 Sept
nuke11–130.037%7 Sept
dust213–110.0412%7 Sept
dust26–130.0117%7 Sept
inferno13–90.0818%5 Sept
inferno10–13-0.028%5 Sept
inferno14–160.0214%5 Sept
cache7–130.0210%4 Sept
dust210–13-0.019%4 Sept
dust213–110.0017%4 Sept
inferno11–13-0.054%4 Sept
nuke7–13-0.0914%4 Sept
dust214–16-0.037%4 Sept
dust24–13-0.0113%3 Sept
ancient7–130.006%3 Sept
dust213–8-0.0010%3 Sept
inferno7–130.0411%3 Sept
dust27–130.017%2 Sept
nuke4–13-0.0812%2 Sept
dust213–70.0013%2 Sept
nuke11–13-0.0613%2 Sept
ancient15–150.0012%2 Sept
inferno13–80.0611%1 Sept
inferno13–50.018%1 Sept
cache13–60.088%1 Sept
dust28–13-0.0615%1 Sept
ancient13–20.1519%1 Sept
inferno13–90.119%1 Sept
dust211–13-0.026%1 Sept
dust213–100.0416%1 Sept
mirage11–13-0.0316%31 Aug
mirage16–130.0213%31 Aug
dust29–13-0.0313%31 Aug
nuke8–13-0.0419%30 Aug
ancient16–13-0.0111%30 Aug
anubis6–130.0313%30 Aug
dust25–130.0115%30 Aug
inferno15–150.0211%29 Aug
anubis8–130.038%29 Aug
inferno15–15-0.048%29 Aug
inferno13–90.0314%27 Aug
dust213–70.0212%27 Aug
inferno9–130.0615%27 Aug
dust26–13-0.0322%27 Aug
dust213–8-0.0022%27 Aug
dust210–13-0.0315%27 Aug
nuke13–40.0315%27 Aug

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 →