NtAj LiAb

NtAj LiAb — CS2 Stats

76561198084723760[U:1:124458032]Steam profile ↗✓ No bans

976Tracked matches52%Win rate2020Tracked since
3,237Hours in CS
CSDB Rating4.7 DevelopingSupport
Premier CS Rating17,349Purple band · top ~19% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+51Premier CS Rating · 17,298 → 17,349

Rating over time

Premier CS Rating: 17,349 -1,149 14 Sept – 15 Nov · 22 days played
15,63519,077peak 19,07714 Sept15 Nov
19,077Peak Premier in tracked matches
1,418Highest Faceit ELO seen on CSDB
25Days played since 2026-08-31

Premier CS Rating

  • 1,728 below peak (19,077)
  • -1,363 over 30 days · declining
  • Next: Pink band at 20,000 — 2,651 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=42,517), 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 rate42.1%44.4%46.9%4.8% short
Shot accuracy16.4%11.8%13.0%above
Kill/death ratio0.831.031.080.25 short
Match win rate50.0%45.3%46.7%above

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. 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.

Share this profile

CSDB.GGNtAj LiAbPREMIER17,349 · Purple bandPEAK ELO1,418csdb.gg/stats

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Performance scores

Aim37
Positioning47
Utility66

0–100 skill scores via Leetify.

Recent form

HOT47–49–4Last 10047%Win rateLWWWLWWWWW

Last 10 vs previous 10: +70pp win rate · +0.01 avg rating · +1.3pp headshot accuracy · −93ms reaction

Win rate up 70pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 500ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 581ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 628ms

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: Support — Utility contribution stands above the rest of this profile (+2.9 against its own average).

Aim3.7
Utility6.6
Positioning4.7
Opening Duels3.3
Clutch0.0

Effective flashes

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

ZywOo

Plays most like ZywOo 63% 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. 604ms 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

Aim3.7
Positioning4.7
Utility6.6
Mechanics5.0
Opening Duels3.1
Win Impact5.6

Composite 4.7/10 (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 rating-0.02+0.02
first ⅓ avg -0.04 → last ⅓ avg -0.02
Reaction time615ms+8ms
first ⅓ avg 607ms → last ⅓ avg 615ms
Headshot accuracy16.4%+3.2%
first ⅓ avg 13.1% → last ⅓ avg 16.4%

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

0.10Best match rating · 13–0 · ancient, 31 Oct →
43%Best headshot accuracy · 13–5 · cache, 28 Oct →
422msFastest reaction time · 11–8 · ancient, 11 Oct →
13–0Biggest win · ancient, 31 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 64% over 14dust2Weakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
infernoA2916–1355%-0.02
dust2D154–1127%-0.04
ancientB157–847%-0.01
mirageA149–564%-0.02
cacheB136–746%-0.02
nukeC73–443%-0.05
anubisD72–529%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

106,650Lifetime kills
0.83K/D
5,322Matches
50.0%Match win rate · Top 25% of Purple band
42.1%Headshot %
16.4%Shot accuracy · Top 25% of Purple band
11,964MVPs
3,237Hours (in match)
6,688Bombs planted
1,297Bombs defused

Most-used weapons

AK-4729,948
MAC-105,624
P2505,173
AWP4,894
UMP-453,983
MP93,381

Lifetime map wins

17,858inferno
3,023dust2
2,952cbble
2,003nuke
1,974train
415vertigo
47office
37bank

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

Faceit stats

Combat

351Matches
53%Win rate
0.83Avg K/D
66.2ADR
42%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno4100%1.0516.8
Ancient367%0.649.3
Mirage367%1.0517.3
Nuke10%0.122.0
Anubis10%0.7915.0
Dust210%0.294.0
Vertigo10%0.306.0

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.

15.8%Headshot accuracy
30.7%Accuracy (enemy spotted)
32.0%Spray accuracy
72.7%Counter-strafing
13.8°Preaim
604msReaction time
37.3%T opening success
47.8%CT opening success
0.70Enemies flashed / flash
8.1%Flash assists
6.97HE damage / grenade
9.93Flashes / 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 13.8232° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Dust 2

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

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke9–13-0.0727%15 Nov →
dust213–3-0.0411%15 Nov →
mirage13–4-0.029%15 Nov →
ancient13–9-0.0313%15 Nov →
ancient11–13-0.0515%14 Nov →
cache13–9-0.0413%14 Nov →
mirage13–50.0418%14 Nov →
dust213–2-0.0413%14 Nov →
cache13–7-0.0022%11 Nov →
ancient13–5-0.0828%11 Nov →
inferno15–15-0.0128%11 Nov →
anubis11–13-0.014%9 Nov →
inferno11–13-0.0215%9 Nov →
dust25–13-0.0716%9 Nov →
mirage3–13-0.0723%9 Nov →
inferno10–13-0.0230%9 Nov →
cache8–13-0.0710%9 Nov →
nuke13–7-0.048%9 Nov →
mirage9–13-0.086%9 Nov →
cache5–13-0.0115%8 Nov →
inferno13–2-0.0211%8 Nov →
mirage13–60.0116%8 Nov →
inferno5–13-0.027%8 Nov →
dust26–13-0.0316%8 Nov →
inferno3–13-0.0710%8 Nov →
mirage16–140.0316%6 Nov →
inferno13–100.0410%6 Nov →
mirage13–8-0.0220%6 Nov →
dust211–13-0.0019%31 Oct →
ancient13–00.1022%31 Oct →
inferno13–70.0411%31 Oct →
cache13–50.0643%28 Oct →
anubis10–13-0.0317%28 Oct →
mirage7–13-0.0518%28 Oct →
cache11–13-0.0415%28 Oct →
dust213–7-0.017%26 Oct →
cache5–13-0.086%26 Oct →
ancient16–120.0519%19 Oct →
inferno13–70.0513%17 Oct →
inferno9–130.019%17 Oct →
dust24–13-0.0936%17 Oct →
inferno13–3-0.009%17 Oct →
mirage13–110.0214%17 Oct →
anubis13–7-0.0418%14 Oct →
inferno13–80.0321%14 Oct →
cache13–80.0111%14 Oct →
ancient8–130.0217%14 Oct →
anubis4–13-0.0714%14 Oct →
inferno13–60.059%11 Oct →
inferno13–110.0214%11 Oct →
ancient11–8-0.007%11 Oct →
inferno13–60.0111%11 Oct →
ancient6–130.0111%11 Oct →
cache11–130.0215%11 Oct →
inferno9–13-0.0212%10 Oct →
cache16–13-0.0112%10 Oct →
inferno9–20.007%10 Oct →
mirage5–13-0.0813%10 Oct →
ancient16–120.0011%7 Oct →
inferno13–70.0113%7 Oct →
anubis7–30.049%5 Oct →
mirage13–60.0220%5 Oct →
nuke13–80.028%28 Sept →
dust213–10-0.0612%28 Sept →
cache12–16-0.0421%28 Sept →
anubis8–13-0.0810%28 Sept →
cache13–6-0.0311%28 Sept →
dust29–130.0220%28 Sept →
inferno10–13-0.0722%28 Sept →
inferno2–8-0.078%28 Sept →
inferno4–13-0.0910%27 Sept →
dust26–130.0121%27 Sept →
dust28–13-0.0515%27 Sept →
inferno13–10-0.078%27 Sept →
dust27–13-0.086%27 Sept →
dust215–15-0.0313%27 Sept →
dust215–15-0.0719%26 Sept →
cache7–13-0.066%25 Sept →
inferno2–13-0.100%25 Sept →
mirage1–13-0.105%25 Sept →
nuke6–13-0.0921%25 Sept →
nuke6–13-0.0510%25 Sept →
mirage13–10-0.0219%15 Sept →
anubis5–13-0.0712%15 Sept →
ancient8–13-0.0715%15 Sept →
inferno13–7-0.057%15 Sept →
ancient6–13-0.0213%15 Sept →
inferno12–16-0.0112%14 Sept →
inferno13–10-0.098%14 Sept →
nuke13–60.0213%13 Sept →
ancient15–150.0710%13 Sept →
inferno13–90.0110%13 Sept →
mirage13–00.0322%13 Sept →
dust210–13-0.0410%12 Sept →
inferno8–130.0415%12 Sept →
ancient6–13-0.0314%12 Sept →
ancient13–11-0.0315%12 Sept →
nuke4–13-0.125%7 Sept →
ancient9–13-0.1015%7 Sept →
inferno13–2-0.0133%7 Sept →

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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