Najmiddin_007

Najmiddin_007 — CS2 Stats

UZ76561199847662161[U:1:1887396433]Steam profile ↗✓ No bans

296Tracked matches34%Win rate2026Tracked since
1,188Hours in CS18Hrs last 2 wks
CSDB Rating3.9 LearningPositional Player
Premier CS Rating24,305Top 25% of 180,525 CSDB-tracked playersPink band · top ~3.8% of ranked players (population est.)
CSDB Leaderboard#26629 of 226222 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 24,305 → 24,305
+2Tracked matches · now 296
−6.9ppWin rate · 41.4% → 34.5%
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. 37 days played since 24 May 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: 24,305 +3,785 24 May13 Sept · 22 days played
18,94725,121peak 25,12124 May13 Sept
25,372Peak Premier in tracked matches
37Days played since 2026-05-24

Premier CS Rating

  • 816 below peak (25,121)
  • -694 over 30 days · declining
  • Next: Red band at 25,000 695 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-06
  • Purple band first seen 2026-09-06

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

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches367+29
Win rate17%29%−12pp
K/D0.640.66−0.02
Headshot %41%35%+5pp

Measured 9 Sep 202618 Sep 2026; previous 6 Sep 2026 → 9 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=36,054), 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 playerPink band medianRed band medianvs Red band
Headshot rate30.6%47.0%49.2%18.6% short
Shot accuracy0.0%13.0%13.3%13.3% short
Kill/death ratio1.051.081.130.07 short
Match win rate37.0%46.7%48.5%11.5% short

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

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

Share this profile

CSDB.GGNajmiddin_007PREMIER24,305 · Pink bandcsdb.gg/stats

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Performance scores

Aim67
Positioning39
Utility27

0–100 skill scores via Leetify.

Recent form

COLD52453Last 10052%Win rateLLLLWLLLLL

Last 10 vs previous 10: −40pp win rate · −0.01 avg rating · −3.4pp headshot accuracy · +113ms reaction

Win rate down 40pp 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

  • 14 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 661ms

Last 10

  • 19 · 10% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 664ms

Last 20

  • 614 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 608ms

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 PlayerPositioning stands above the rest of this profile (+1.7 against its own average).

Aim6.7
Utility2.7
Positioning3.9
Opening Duels2.0
Clutch0.2

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

jL

Plays most like jL 90% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Counter-strafing. Only 65% 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

Aim6.7
Positioning3.9
Utility2.7
Mechanics3.3
Opening Duels1.3
Win Impact0.0

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time499ms+42ms
first ⅓ avg 457ms → last ⅓ avg 499ms
Headshot accuracy19.1%+4.7%
first ⅓ avg 14.5% → last ⅓ avg 19.1%

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

0.20Best match rating · 13–6 · anubis, 31 Jul
67%Best headshot accuracy · 13–0 · dust2, 17 Aug
219msFastest reaction time · 2–13 · ancient, 19 Aug
13–0Biggest win · cache, 26 Aug

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
35In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 70% over 10ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B27141352%0.03
mirageA22121055%0.04
anubisB147750%0.01
infernoS107370%0.01
nukeA74357%0.00
ancientD72529%-0.00
cacheS64267%-0.00
overpass32167%0.01
train2020%0.09
vertigo1010%0.12
office1010%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,986Lifetime kills
1.05K/D
2,188Matches
37.0%Match win rate
30.6%Headshot %
0.0%Shot accuracy
3,892MVPs
682Hours (in match)
2,291Bombs planted
326Bombs defused

Most-used weapons

Lifetime map wins

4,668dust2
1,613nuke
1,390inferno
387train
166vertigo
119office
44italy
2ar_baggage

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

Faceit stats

Combat

48Matches
33%Win rate
0.87Avg K/D
75.8ADR
32%Headshot %

Clutches & streaks

21%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Anubis922%0.9014.8
Ancient933%0.8011.0
Dust2812%0.7711.3
Mirage838%0.8314.4
Nuke838%0.7311.4
Overpass560%1.4219.4
Inferno1100%0.9211.0

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.

17.0%Headshot accuracy
32.0%Accuracy (enemy spotted)
27.3%Spray accuracy
64.9%Counter-strafing
5.8°Preaim
493msReaction time
37.6%T opening success
32.6%CT opening success
0.55Enemies flashed / flash
1.8%Flash assists
8.64HE damage / grenade
1.23Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.227 — below the 4 mark we flag

    Grenade Lineups
  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 37.6331% — below the 40% mark we flag

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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis5–13-0.0513%16 Sept
mirage9–130.0821%14 Sept
dust24–13-0.024%9 Sept
mirage3–13-0.0118%9 Sept
dust213–7-0.097%9 Sept
nuke8–13-0.0421%9 Sept
anubis6–13-0.0717%8 Sept
anubis3–13-0.0411%1 Sept
dust25–13-0.0826%1 Sept
anubis4–130.0315%1 Sept
ancient7–130.0317%1 Sept
dust213–9-0.0210%27 Aug
cache12–30.039%27 Aug
cache13–0-0.029%26 Aug
mirage1–13-0.090%25 Aug
ancient13–0-0.0929%25 Aug
train11–130.019%25 Aug
inferno0–10-0.0850%25 Aug
dust213–60.0217%20 Aug
ancient2–13-0.0436%19 Aug
dust212–120.1311%19 Aug
nuke13–6-0.0117%18 Aug
dust213–110.1029%18 Aug
nuke13–110.0924%18 Aug
anubis12–6-0.0011%18 Aug
dust22–13-0.0320%17 Aug
inferno11–13-0.0223%17 Aug
mirage7–130.0228%17 Aug
cache6–130.0224%17 Aug
ancient6–130.088%17 Aug
dust213–0-0.0867%17 Aug
inferno8–30.0417%15 Aug
anubis12–12-0.0414%14 Aug
mirage8–13-0.0312%14 Aug
anubis13–1-0.090%14 Aug
nuke13–6-0.0621%14 Aug
inferno13–2-0.060%13 Aug
mirage11–130.0229%12 Aug
mirage13–40.0730%11 Aug
overpass13–2-0.0217%11 Aug
ancient6–13-0.0721%7 Aug
mirage13–40.0715%7 Aug
mirage13–50.169%4 Aug
vertigo9–130.129%4 Aug
mirage13–60.0812%4 Aug
dust29–130.0432%1 Aug
mirage13–80.1418%1 Aug
mirage7–30.1338%1 Aug
dust213–70.1314%1 Aug
cache13–10-0.0514%31 Jul
anubis13–60.2019%31 Jul
nuke6–90.0512%31 Jul
train2–80.1631%31 Jul
dust210–130.1330%28 Jul
dust213–40.1514%27 Jul
anubis13–80.1111%25 Jul
inferno13–90.0916%25 Jul
anubis5–10.040%25 Jul
dust213–10.0740%24 Jul
dust211–130.0917%24 Jul
cache12–160.0312%23 Jul
mirage16–120.117%23 Jul
nuke9–13-0.009%19 Jul
mirage13–20.0413%19 Jul
mirage10–130.009%19 Jul
dust26–130.0622%18 Jul
ancient11–130.0811%17 Jul
inferno9–130.0016%17 Jul
inferno8–30.150%17 Jul
dust215–15-0.008%17 Jul
anubis13–100.117%17 Jul
anubis13–16-0.0220%16 Jul
dust213–5-0.0113%16 Jul
dust213–10.0713%16 Jul
mirage12–2-0.027%16 Jul
dust25–00.1050%16 Jul
dust20–13-0.090%16 Jul
dust20–13-0.0425%16 Jul
inferno2–0-0.080%16 Jul
nuke13–7-0.0011%16 Jul
anubis13–90.0213%14 Jul
office10–13-0.0118%9 Jul
mirage13–70.1215%2 Jul
mirage10–00.0920%2 Jul
ancient13–30.0121%1 Jul
dust213–40.1031%1 Jul
anubis2–13-0.0725%1 Jul
dust28–10.125%1 Jul
mirage13–70.0619%1 Jul
overpass8–130.0314%1 Jul
mirage3–13-0.0214%1 Jul
mirage6–13-0.068%1 Jul
dust21–9-0.100%1 Jul
cache13–8-0.0210%1 Jul
dust27–13-0.070%26 Jun
inferno13–8-0.0111%26 Jun
overpass13–00.0323%6 Jun
inferno13–30.116%24 May
mirage5–130.0310%24 May
dust213–40.0144%24 May

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 →