nestee

nestee — CS2 Stats

PRO“tee”500 RushPolandRiflerSettings & gear profile →

PL76561198098387757[U:1:138122029]Steam profile ↗✓ No bans

2,671Tracked matches37%Win rate2020Tracked since
CSDB Rating6.0 SolidSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,671 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Faceit ELO: 3,700 +0 28 Aug – 22 Sept · 10 observations
3,7003,700peak 3,70028 Aug22 Sept
3,700Highest Faceit ELO seen on CSDB
47Days played since 2025-10-19

Faceit ELO

  • At peak — 3,700
  • 0 over 30 days · steady
  • Next: 4,000 ELO at 4,000 — 300 to go
  • Reached: 3,500 ELO · 3,000 ELO · 2,500 ELO · Level 10
  • 3,500 ELO first seen 2026-08-28
  • 3,000 ELO first seen 2026-08-28

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

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CSDB.GGnestee30 DAYS0 ELOPEAK ELO3,700csdb.gg/stats

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Performance scores

Aim81
Positioning52
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY40–60Last 10040%Win rateLWLWWLLWLL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · +2.5pp headshot accuracy · +62ms reaction

Win rate +10pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 530ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 596ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 565ms

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 (+1.8 against its own average).

Aim8.1
Utility6.3
Positioning5.2
Opening Duels2.6
Clutch4.0

Strong CT-side opener

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 93% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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

T-side openings. Opening success drops from 50% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 557ms 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

Aim8.1
Positioning5.2
Utility6.3
Mechanics6.6
Opening Duels2.4
Win Impact0.6

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time571ms+21ms
first ⅓ avg 550ms → last ⅓ avg 571ms
Headshot accuracy22.7%−4.9%
first ⅓ avg 27.6% → last ⅓ avg 22.7%

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 · 13–5 · inferno, 17 Mar →
43%Best headshot accuracy · 13–9 · dust2, 25 Oct →
375msFastest reaction time · 13–8 · inferno, 19 Oct →
13–1Biggest win · ancient, 17 Mar →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

infernoBest map · 55% over 11mirageWeakest map · 28% over 25
MapGradePlayedRecordWin rateAvg rating
mirageD257–1828%-0.01
nukeB2210–1245%0.00
ancientB199–1047%-0.01
infernoA116–555%0.00
overpassD103–730%-0.01
anubisB63–350%0.01
dust2—41–325%-0.01
train—20–20%-0.06
vertigo—11–0100%0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (28% over 25). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5,792Matches
56%Win rate
1.21Avg K/D
79.8ADR
55%Headshot %

Clutches & streaks

40%1v1 clutch win
24%1v2 clutch win
13Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage62154%1.1915.8
Ancient52758%1.1916.1
Anubis32362%1.2816.4
Nuke28463%1.2616.4
Dust211150%1.1714.8
Vertigo9068%1.3416.3
Inferno4953%1.1414.3
Train4961%1.2317.3

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Inventory

$5,802Inventory value20ItemsFull inventory breakdown →
AK-47 | Gold Arabesque (Field-Tested)$1,720★ M9 Bayonet | Lore (Factory New)$1,622★ Sport Gloves | Occult (Field-Tested)$810M4A4 | Eye of Horus (Minimal Wear)$768M4A1-S | Chantico's Fire (Field-Tested)$160MP9 | Bulldozer (Field-Tested)$155

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

23.1%Headshot accuracy
36.3%Accuracy (enemy spotted)
39.0%Spray accuracy
79.6%Counter-strafing
9.7°Preaim
557msReaction time
25.5%T opening success
49.6%CT opening success
0.66Enemies flashed / flash
5.9%Flash assists
7.14HE damage / grenade
8.77Flashes / 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

    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 25.4718% — below the 40% mark we flag

Spend your practice time on Mirage

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

28% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke12–16-0.0425%24 Aug →
ancient13–7-0.0322%27 May →
ancient5–130.0219%21 May →
ancient13–6-0.0718%29 Apr →
inferno13–90.0128%20 Apr →
mirage2–13-0.0533%12 Apr →
overpass11–13-0.0327%12 Apr →
overpass13–30.0513%8 Apr →
inferno11–130.0123%7 Apr →
mirage9–130.0620%7 Apr →
inferno16–14-0.0430%6 Apr →
mirage10–13-0.0230%6 Apr →
nuke13–16-0.0119%6 Apr →
ancient13–30.0827%6 Apr →
mirage14–160.0018%5 Apr →
overpass10–13-0.0515%5 Apr →
nuke13–110.0216%5 Apr →
mirage5–13-0.0118%5 Apr →
nuke4–13-0.0812%4 Apr →
ancient5–130.0119%4 Apr →
mirage13–70.0333%4 Apr →
anubis2–13-0.0126%3 Apr →
nuke22–200.0319%3 Apr →
mirage10–13-0.0121%3 Apr →
nuke8–13-0.0239%31 Mar →
overpass2–13-0.0916%31 Mar →
mirage10–13-0.0120%31 Mar →
inferno13–9-0.0127%31 Mar →
nuke7–130.0043%31 Mar →
nuke13–50.0117%30 Mar →
anubis3–13-0.0615%30 Mar →
mirage11–130.0018%29 Mar →
ancient7–130.0221%29 Mar →
ancient13–11-0.0717%27 Mar →
nuke13–110.0129%27 Mar →
nuke10–130.0435%25 Mar →
ancient3–13-0.0320%25 Mar →
mirage16–12-0.0519%25 Mar →
nuke10–13-0.0239%25 Mar →
overpass6–130.0321%25 Mar →
overpass10–13-0.029%24 Mar →
anubis13–8-0.0126%24 Mar →
mirage13–70.0128%24 Mar →
nuke13–100.0343%22 Mar →
overpass13–30.0621%22 Mar →
nuke16–13-0.0025%22 Mar →
mirage4–130.0232%22 Mar →
mirage9–13-0.0231%20 Mar →
ancient12–160.0020%20 Mar →
mirage11–130.0018%20 Mar →
inferno10–13-0.0432%19 Mar →
mirage11–13-0.0417%17 Mar →
inferno13–50.1038%17 Mar →
mirage13–30.0632%17 Mar →
ancient13–10.0519%17 Mar →
anubis13–100.0033%4 Mar →
nuke8–130.0440%23 Feb →
mirage5–130.0443%23 Feb →
nuke13–80.0221%18 Feb →
nuke17–19-0.0038%8 Feb →
ancient13–100.0017%7 Feb →
nuke13–80.0338%7 Feb →
anubis16–130.0838%31 Jan →
mirage13–10.0435%31 Jan →
mirage5–13-0.0929%30 Jan →
vertigo13–40.0537%21 Jan →
inferno18–220.0426%16 Jan →
mirage17–19-0.0115%16 Jan →
mirage10–13-0.0633%14 Jan →
ancient8–13-0.0536%13 Jan →
anubis14–160.0522%13 Jan →
mirage13–7-0.0128%8 Jan →
train7–13-0.0428%6 Jan →
mirage16–130.0730%6 Jan →
mirage11–13-0.0213%3 Jan →
ancient13–60.0642%2 Jan →
mirage2–13-0.0631%28 Dec →
ancient13–40.0416%23 Dec →
ancient9–13-0.0742%29 Oct →
nuke5–13-0.0412%29 Oct →
train4–13-0.0838%28 Oct →
ancient5–13-0.0717%28 Oct →
ancient6–13-0.0629%28 Oct →
dust27–130.0123%28 Oct →
nuke13–90.0320%28 Oct →
nuke7–13-0.0525%27 Oct →
overpass10–13-0.0319%27 Oct →
inferno9–13-0.0730%25 Oct →
ancient13–11-0.0533%25 Oct →
dust213–90.0443%25 Oct →
nuke10–130.0023%23 Oct →
dust210–13-0.0323%23 Oct →
dust24–13-0.0626%21 Oct →
inferno5–13-0.0441%21 Oct →
nuke13–90.0126%21 Oct →
ancient9–13-0.039%21 Oct →
overpass11–13-0.0225%20 Oct →
overpass8–3-0.0041%20 Oct →
inferno16–140.0438%20 Oct →
inferno13–80.0531%19 Oct →

Match data via Leetify.

Recent teammates

Milestones

3K ELO Club1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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