nnadjjjaa

nnadjjjaa — CS2 Stats

76561198009918088[U:1:49652360]Steam profile ↗✓ No bans

2,803Tracked matches47%Win rate2020Tracked since
CSDB Rating5.6 SolidPositional Player
Premier CS Rating18,754Top 50% of 204,412 CSDB-tracked playersPurple band · top ~13.5% of ranked players (population est.)
CSDB Leaderboard#98570 of 251498 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 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: 18,754 +1,838 2 Jul – 12 Oct · 28 days played
16,40019,211peak 19,2112 Jul12 Oct
19,561Peak Premier in tracked matches
44Days played since 2026-07-02

Premier CS Rating

  • 457 below peak (19,211)
  • +787 over 30 days · improving
  • +2,006 over 90 days
  • Next: Pink band at 20,000 — 1,246 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-08
  • Blue band first seen 2026-09-08

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

Share this profile

CSDB.GGnnadjjjaaFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER18,754 · Purple bandcsdb.gg/stats

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Performance scores

Aim57
Positioning64
Utility54

0–100 skill scores via Leetify.

Recent form

COLD47–51–2Last 10047%Win rateLLWWLLLWLL

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · −6.2pp headshot accuracy · −67ms 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 -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 583ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 581ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 614ms

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 (+1.9 against its own average).

Aim5.7
Utility5.4
Positioning6.4
Opening Duels3.6
Clutch2.8

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

donk

Plays most like donk 76% 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

Strengths

T openings. 64% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 566ms 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

Aim5.7
Positioning6.4
Utility5.4
Mechanics4.7
Opening Duels6.8
Win Impact3.9

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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time576ms−38ms
first ⅓ avg 613ms → last ⅓ avg 576ms
Headshot accuracy17.6%+2.0%
first ⅓ avg 15.6% → last ⅓ avg 17.6%

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 · 13–3 · inferno, 1 Aug →
33%Best headshot accuracy · 5–3 · mirage, 14 Sept →
344msFastest reaction time · 13–1 · cache, 22 Aug →
13–1Biggest win · inferno, 5 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
11–7In matches decided by ≤2 rounds
15Overtime games

Map breakdown

anubisBest map · 80% over 5cacheWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
mirageC2711–1641%-0.01
infernoS2316–770%0.02
cacheD165–1131%0.01
ancientC145–936%-0.03
dust2D124–833%-0.02
anubisS54–180%-0.04
nuke—22–0100%0.05
overpass—10–10%-0.04

Across the last 100 tracked matches.

Faceit stats

Combat

1,494Matches
50%Win rate
0.88Avg K/D
71.0ADR
39%Headshot %

Clutches & streaks

34%1v1 clutch win
15%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage22053%0.9214.1
Inferno20260%1.0014.1
Ancient14442%0.8813.7
Dust29441%0.7911.7
Overpass1765%0.6410.2
Cache1644%1.0314.1
Anubis1429%0.7312.1
Train1362%1.0915.2

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.

16.9%Headshot accuracy
30.7%Accuracy (enemy spotted)
34.8%Spray accuracy
71.4%Counter-strafing
9.7°Preaim
566msReaction time
64.4%T opening success
50.3%CT opening success
0.53Enemies flashed / flash
4.2%Flash assists
13.15HE damage / grenade
7.13Flashes / match

Recommended for you

Spend your practice time on Cache

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

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache9–130.0521%12 Oct →
mirage4–13-0.0416%12 Oct →
anubis13–7-0.0218%11 Oct →
anubis13–9-0.0421%11 Oct →
mirage9–130.017%11 Oct →
mirage17–19-0.0116%8 Oct →
cache9–13-0.0412%5 Oct →
mirage13–6-0.056%4 Oct →
dust25–13-0.0416%4 Oct →
dust210–13-0.0520%4 Oct →
anubis13–7-0.068%4 Oct →
inferno13–60.0528%3 Oct →
cache17–190.0225%3 Oct →
ancient8–130.0111%23 Sept →
cache13–110.0927%23 Sept →
nuke13–50.0421%23 Sept →
mirage10–13-0.0018%14 Sept →
ancient9–13-0.0717%14 Sept →
mirage5–3-0.0633%14 Sept →
inferno4–00.0725%14 Sept →
inferno13–110.0129%13 Sept →
ancient16–14-0.0814%13 Sept →
dust213–7-0.0220%12 Sept →
inferno11–13-0.0318%12 Sept →
cache13–16-0.0412%12 Sept →
ancient9–13-0.077%12 Sept →
anubis13–5-0.0413%11 Sept →
inferno7–13-0.0015%11 Sept →
dust211–13-0.076%11 Sept →
inferno16–120.0221%11 Sept →
ancient13–7-0.0121%11 Sept →
cache7–13-0.0229%11 Sept →
dust213–90.0410%10 Sept →
ancient11–13-0.0215%9 Sept →
inferno9–13-0.0127%8 Sept →
cache7–130.0326%8 Sept →
inferno19–17-0.0425%7 Sept →
cache13–7-0.0117%5 Sept →
inferno13–10.096%5 Sept →
nuke13–50.0626%5 Sept →
mirage14–16-0.0524%5 Sept →
dust29–13-0.0421%5 Sept →
ancient2–13-0.100%1 Sept →
inferno16–14-0.0312%30 Aug →
cache9–13-0.0417%27 Aug →
dust213–30.0313%26 Aug →
cache8–13-0.0130%24 Aug →
mirage13–5-0.027%24 Aug →
anubis3–13-0.0612%23 Aug →
mirage5–13-0.0725%23 Aug →
inferno13–100.0121%22 Aug →
inferno16–140.0624%22 Aug →
mirage13–100.0216%22 Aug →
cache13–10.018%22 Aug →
inferno16–140.0116%21 Aug →
dust210–130.0033%21 Aug →
mirage11–13-0.0116%18 Aug →
mirage6–13-0.0521%17 Aug →
inferno9–130.0223%17 Aug →
ancient5–13-0.0212%15 Aug →
dust25–13-0.0921%15 Aug →
mirage13–7-0.0016%14 Aug →
mirage4–130.008%14 Aug →
inferno13–9-0.0410%11 Aug →
inferno6–130.000%11 Aug →
inferno13–30.1013%1 Aug →
mirage16–13-0.0316%22 Jul →
ancient16–13-0.0210%22 Jul →
inferno9–130.026%19 Jul →
dust210–130.019%18 Jul →
inferno9–130.0112%18 Jul →
dust213–110.0126%17 Jul →
inferno13–4-0.017%17 Jul →
ancient13–11-0.039%17 Jul →
cache13–60.0019%17 Jul →
mirage9–130.0614%17 Jul →
cache10–130.0620%17 Jul →
mirage13–110.0417%17 Jul →
ancient10–13-0.0412%16 Jul →
mirage7–130.0214%16 Jul →
cache13–60.0132%16 Jul →
cache8–130.0423%12 Jul →
mirage9–13-0.0718%12 Jul →
ancient13–70.0614%12 Jul →
mirage15–15-0.0613%11 Jul →
cache6–13-0.026%11 Jul →
mirage13–80.0718%11 Jul →
ancient5–130.0229%10 Jul →
inferno13–70.0721%10 Jul →
mirage6–13-0.0013%10 Jul →
mirage13–8-0.0116%9 Jul →
mirage16–130.0214%7 Jul →
ancient6–13-0.0313%6 Jul →
mirage15–15-0.026%6 Jul →
dust25–13-0.0125%5 Jul →
inferno13–40.0415%5 Jul →
overpass3–13-0.0415%4 Jul →
mirage13–80.0119%4 Jul →
inferno13–4-0.0116%2 Jul →
mirage6–130.0013%2 Jul →

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 →

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