Shaniqua Naomi Johnson

Shaniqua Naomi Johnson — CS2 Stats

US76561199820015731[U:1:1859750003]Steam profile ↗✓ No bans

322Tracked matches47%Win rate2025Tracked since
349Hours in CS0Hrs last 2 wks
CSDB Rating6.0 SolidPositional Player
Premier CS Rating17,777Purple band · top ~17.3% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 2026 (43 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: 17,777 +977 4 Aug – 3 Oct · 32 days played
15,55318,267peak 18,2674 Aug3 Oct
19,200Peak Premier in tracked matches
1,686Highest Faceit ELO seen on CSDB
32Days played since 2026-08-03

Faceit ELO

  • 50 below peak (1,686)
  • Next: Level 9 at 1,751 — 115 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-01
  • Level 7 first seen 2026-09-01

Premier CS Rating

  • 490 below peak (18,267)
  • +1,591 over 30 days · improving
  • Next: Pink band at 20,000 — 2,223 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. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can 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 rate41.5%44.4%46.9%5.4% short
Shot accuracy0.0%11.8%13.0%13.0% short
Kill/death ratio1.081.031.08meets
Match win rate53.2%45.3%46.7%above

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

Widest gap: Shot accuracy. 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.GGShaniqua Naomi JohnsonPREMIER17,777 · Purple bandPEAK ELO1,686csdb.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

Aim68
Positioning72
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateLWWLLWLWLL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · −0.5pp headshot accuracy · −7ms reaction

Win rate down 30pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 506ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 575ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 579ms

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 (+2.7 against its own average).

Aim6.8
Utility2.9
Positioning7.2
Opening Duels6.2
Clutch1.6

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

s1mple

Plays most like s1mple 78% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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

Strengths

T openings. 72% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 72% on T to 52% on CT — first contacts on the defending side are being lost.

Reaction time. 592ms 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

Aim6.8
Positioning7.2
Utility2.9
Mechanics6.3
Opening Duels7.8
Win Impact3.9

Composite 6.0/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time594ms−14ms
first ⅓ avg 608ms → last ⅓ avg 594ms
Headshot accuracy15.9%−1.2%
first ⅓ avg 17.0% → last ⅓ avg 15.9%

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

0.16Best match rating · 13–4 · dust2, 20 Sept →
37%Best headshot accuracy · 13–10 · dust2, 17 Sept →
391msFastest reaction time · 3–13 · dust2, 6 Sept →
13–2Biggest win · mirage, 29 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–6In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 80% over 5ancientWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
dust2S2617–965%0.04
mirageC219–1243%0.01
nukeS1511–473%0.01
ancientD133–1023%0.00
anubisC104–640%-0.02
infernoC94–544%0.03
cacheS54–180%-0.03
vertigo—11–0100%0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

8,926Lifetime kills
1.08K/D · Top 50% of Purple band
485Matches
53.2%Match win rate · Top 10% of Purple band
41.5%Headshot %
0.0%Shot accuracy
1,241MVPs
204Hours (in match)
265Bombs planted
141Bombs defused

Most-used weapons

Lifetime map wins

1,664dust2
704nuke
466inferno
61office
34train
32vertigo
31italy
7ar_shoots

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

Faceit stats

Combat

78Matches
63%Win rate
1.01Avg K/D
75.3ADR
39%Headshot %

Clutches & streaks

28%1v1 clutch win
28%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Dust23262%0.9814.4
Mirage2458%0.9913.8
Nuke1173%1.1916.2
Inferno540%0.6815.2
Ancient3100%1.4219.7
Overpass2100%0.9816.5
Anubis10%0.7911.0

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.

16.3%Headshot accuracy
35.3%Accuracy (enemy spotted)
38.7%Spray accuracy
78.6%Counter-strafing
10.0°Preaim
592msReaction time
72.0%T opening success
52.2%CT opening success
0.40Enemies flashed / flash
5.8%Flash assists
7.16HE damage / grenade
2.17Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4022 — below the 0.5 mark we flag

    Grenade Lineups →
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.

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–130.0211%3 Oct →
cache13–9-0.0610%3 Oct →
nuke13–90.0427%2 Oct →
ancient11–130.0121%2 Oct →
mirage7–130.0820%2 Oct →
dust216–140.0320%1 Oct →
nuke11–13-0.0214%30 Sept →
ancient13–30.0318%30 Sept →
anubis10–13-0.0710%30 Sept →
nuke5–13-0.0313%30 Sept →
nuke13–70.007%30 Sept →
dust213–90.0313%30 Sept →
nuke13–70.0121%30 Sept →
nuke13–6-0.0214%29 Sept →
nuke13–90.0714%29 Sept →
mirage8–130.0318%29 Sept →
dust213–6-0.0219%29 Sept →
ancient11–130.0533%29 Sept →
anubis5–130.0021%29 Sept →
vertigo9–40.098%29 Sept →
mirage11–13-0.0213%29 Sept →
anubis9–13-0.1014%29 Sept →
dust26–130.0328%29 Sept →
mirage2–130.046%29 Sept →
cache9–13-0.0114%29 Sept →
ancient13–110.034%29 Sept →
mirage13–50.1010%29 Sept →
mirage13–20.0925%29 Sept →
nuke13–6-0.0015%29 Sept →
dust22–130.028%26 Sept →
inferno8–13-0.0424%25 Sept →
mirage13–10-0.0511%25 Sept →
inferno13–20.1220%25 Sept →
mirage11–13-0.0521%25 Sept →
mirage13–11-0.0121%24 Sept →
inferno7–13-0.0613%24 Sept →
nuke13–40.0615%24 Sept →
inferno13–90.0315%24 Sept →
mirage10–13-0.089%24 Sept →
nuke13–8-0.0025%21 Sept →
ancient5–13-0.1012%21 Sept →
nuke13–70.037%21 Sept →
anubis13–110.0411%21 Sept →
dust213–40.1618%20 Sept →
dust25–13-0.0315%18 Sept →
ancient13–8-0.0017%18 Sept →
mirage8–13-0.0529%18 Sept →
anubis8–13-0.0418%18 Sept →
dust212–160.0115%18 Sept →
inferno9–60.1618%18 Sept →
anubis7–13-0.0714%18 Sept →
dust216–130.039%17 Sept →
anubis13–30.1115%17 Sept →
dust213–40.0327%17 Sept →
cache13–8-0.048%17 Sept →
nuke9–13-0.0027%17 Sept →
dust213–40.0720%17 Sept →
mirage13–60.0424%17 Sept →
ancient9–13-0.0210%17 Sept →
dust213–60.0513%17 Sept →
dust213–100.0237%17 Sept →
ancient9–13-0.0511%13 Sept →
mirage13–8-0.0120%11 Sept →
mirage13–60.0213%11 Sept →
dust213–70.0336%10 Sept →
ancient6–130.0921%9 Sept →
cache13–70.0126%7 Sept →
dust23–13-0.0812%6 Sept →
inferno13–7-0.0122%6 Sept →
mirage4–130.0218%6 Sept →
nuke11–130.0221%6 Sept →
anubis13–40.079%6 Sept →
dust213–10-0.0023%6 Sept →
ancient15–150.0115%4 Sept →
mirage8–130.037%4 Sept →
mirage13–90.0211%3 Sept →
dust213–110.0518%30 Aug →
dust210–130.0723%30 Aug →
anubis4–13-0.1124%29 Aug →
mirage5–130.0813%29 Aug →
dust210–130.0312%25 Aug →
inferno5–130.0619%25 Aug →
dust213–40.0918%25 Aug →
nuke13–80.0332%23 Aug →
ancient10–13-0.0321%23 Aug →
inferno4–13-0.0213%22 Aug →
ancient3–130.0415%22 Aug →
anubis13–11-0.015%17 Aug →
nuke13–100.018%17 Aug →
dust29–130.1218%16 Aug →
cache13–3-0.0611%7 Aug →
dust29–130.0724%6 Aug →
dust213–50.0919%6 Aug →
mirage13–60.0416%6 Aug →
mirage1–130.0225%5 Aug →
mirage6–13-0.0116%4 Aug →
ancient6–13-0.029%4 Aug →
dust213–80.0923%4 Aug →
dust216–120.0213%4 Aug →
dust213–90.1033%3 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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