NEMT

NEMT — CS2 Stats

76561197988669484[U:1:28403756]Steam profile ↗✓ No bans

4,069Tracked matches47%Win rate2020Tracked since
5,967Hours in CS8Hrs last 2 wks
CSDB Rating4.5 DevelopingSupport
FaceitLevel 9 · 2,115 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (53 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,115 → 2,115
+45Tracked matches · now 4,069
−10.0ppWin rate · 56.7% → 46.7%

Rating over time

2,115Highest Faceit ELO seen on CSDB
75Days played since 2025-08-05

Faceit ELO

  • At peak — 2,115
  • Next: 2,500 ELO at 2,500 — 385 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-03
  • Level 9 first seen 2026-09-03

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.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate50.8%48.2%50.9%meets
Shot accuracy12.0%13.2%13.7%1.7% short
Kill/death ratio0.911.071.090.18 short
Match win rate46.5%46.9%48.4%1.9% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGNEMTFACEITLevel 9 · 2,115 ELOSTANDINGTop 20.7% of rankedPEAK ELO2,115csdb.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

Aim51
Positioning49
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY51–49Last 10051%Win rateLLWLWWWLWL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −2.4pp headshot accuracy · −77ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 469ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 484ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 26%
  • Avg reaction 522ms

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 (+1.9 against its own average).

Aim5.1
Utility6.0
Positioning4.9
Opening Duels2.3
Clutch3.4

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

Twistzz

Plays most like Twistzz 77% 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

Counter-strafing. Only 66% 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

Aim5.1
Positioning4.9
Utility6.0
Mechanics3.5
Opening Duels2.0
Win Impact3.9

Composite 4.5/10 (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-0.04−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.04
Reaction time543ms−70ms
first ⅓ avg 613ms → last ⅓ avg 543ms
Headshot accuracy24.1%+2.5%
first ⅓ avg 21.6% → last ⅓ avg 24.1%

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

0.07Best match rating · 9–13 · ancient, 24 Sept →
46%Best headshot accuracy · 10–13 · nuke, 24 Aug →
344msFastest reaction time · 7–13 · ancient, 20 Sept →
13–0Biggest win · inferno, 1 Apr →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
9–10In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 58% over 31ancientWeakest map · 39% over 18
MapGradePlayedRecordWin rateAvg rating
nukeA3118–1358%-0.03
infernoA2011–955%-0.02
ancientC187–1139%-0.02
dust2B136–746%-0.02
overpassB137–654%-0.03
mirage—21–150%-0.06
anubis—21–150%-0.04
train—10–10%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

112,200Lifetime kills
0.91K/D
5,825Matches
46.5%Match win rate
50.8%Headshot % · Top 50% of Level 9 players
12.0%Shot accuracy
12,328MVPs
3,157Hours (in match)
6,150Bombs planted
1,259Bombs defused

Most-used weapons

AK-4736,159
AWP9,927
MP73,359
MAC-103,199
Knife3,142
MP92,985

Lifetime map wins

16,279inferno
13,215nuke
13,068dust2
6,372vertigo
1,197train
90cbble
5office
2ar_shoots

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

Faceit stats

Combat

3,359Matches
50%Win rate
0.89Avg K/D
70.1ADR
49%Headshot %

Clutches & streaks

37%1v1 clutch win
16%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke37860%0.9013.6
Inferno36352%0.8913.7
Ancient33346%0.8213.1
Dust232543%0.7612.6
Vertigo15558%0.9314.3
Overpass13549%0.8413.2
Anubis5143%0.9414.9
Mirage4738%0.9414.9

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.

24.4%Headshot accuracy
27.5%Accuracy (enemy spotted)
29.0%Spray accuracy
65.8%Counter-strafing
11.0°Preaim
536msReaction time
34.1%T opening success
41.7%CT opening success
0.53Enemies flashed / flash
4.2%Flash assists
11.86HE damage / grenade
9.70Flashes / 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 34.059% — 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.

39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient7–13-0.0823%27 Sept →
ancient7–13-0.0525%20 Sept →
ancient13–100.0022%12 Sept →
ancient14–16-0.057%11 Sept →
inferno13–80.0439%6 Sept →
inferno13–6-0.0334%30 Aug →
nuke16–120.0430%28 Aug →
dust27–13-0.0319%26 Aug →
dust213–11-0.0226%21 Aug →
inferno7–13-0.0522%19 Aug →
nuke7–13-0.0326%14 Aug →
inferno4–13-0.0838%10 Aug →
nuke7–13-0.0710%10 Aug →
nuke13–40.0227%9 Aug →
ancient13–9-0.0220%8 Aug →
dust21–13-0.1033%5 Aug →
mirage6–13-0.0432%2 Aug →
nuke2–13-0.1132%2 Aug →
inferno13–100.0122%26 Jul →
nuke19–16-0.0133%19 Jul →
dust27–13-0.0827%19 Jul →
inferno13–8-0.0321%28 Jun →
inferno5–13-0.0526%28 Jun →
nuke13–10-0.0215%18 Jun →
inferno11–13-0.0223%14 Jun →
inferno11–13-0.0531%14 Jun →
mirage13–6-0.0814%11 Jun →
dust213–10-0.0233%10 Jun →
dust213–10-0.0314%9 Jun →
overpass8–13-0.0515%31 May →
nuke13–4-0.0521%31 May →
nuke16–13-0.0310%20 May →
inferno13–11-0.0226%14 May →
nuke8–13-0.0428%9 May →
nuke16–13-0.0526%3 May →
ancient16–13-0.0219%22 Apr →
inferno10–13-0.0630%19 Apr →
dust213–100.0214%19 Apr →
overpass7–13-0.0515%19 Apr →
overpass8–13-0.0528%19 Apr →
nuke13–10-0.0428%11 Apr →
overpass13–100.0428%4 Apr →
ancient14–16-0.0320%4 Apr →
nuke13–4-0.0119%4 Apr →
inferno13–0-0.069%1 Apr →
overpass9–13-0.0115%31 Mar →
inferno8–13-0.0216%25 Mar →
anubis13–11-0.0016%15 Mar →
dust25–13-0.0321%8 Mar →
anubis1–13-0.0733%8 Mar →
nuke9–13-0.0517%1 Mar →
nuke13–70.0319%26 Feb →
ancient13–16-0.0416%22 Feb →
ancient6–13-0.0421%21 Feb →
nuke13–10-0.0711%19 Feb →
nuke8–13-0.0526%15 Feb →
overpass13–80.0224%5 Feb →
dust210–13-0.0411%29 Jan →
ancient6–130.0023%25 Jan →
overpass11–13-0.0414%25 Jan →
ancient10–13-0.0130%11 Jan →
overpass13–11-0.0315%22 Dec →
nuke13–11-0.0323%22 Dec →
ancient13–16-0.0527%21 Dec →
nuke13–6-0.0420%21 Dec →
nuke11–130.0120%18 Dec →
ancient13–11-0.0213%10 Dec →
dust213–80.0130%10 Dec →
inferno5–13-0.0713%20 Nov →
overpass13–7-0.0131%16 Nov →
nuke8–13-0.0617%9 Nov →
inferno13–5-0.0016%19 Oct →
dust29–130.0028%14 Oct →
inferno10–00.0320%13 Oct →
nuke19–160.0115%12 Oct →
dust213–40.0430%9 Oct →
overpass13–10-0.0213%5 Oct →
ancient13–60.0115%2 Oct →
ancient13–80.0222%1 Oct →
nuke13–11-0.0527%28 Sept →
ancient13–3-0.0316%28 Sept →
dust25–13-0.0221%28 Sept →
nuke13–11-0.0025%25 Sept →
overpass13–90.0132%25 Sept →
inferno13–70.0620%24 Sept →
ancient9–130.0722%24 Sept →
nuke11–13-0.0734%22 Sept →
overpass13–10-0.0615%11 Sept →
nuke13–90.0119%7 Sept →
nuke10–13-0.0846%24 Aug →
inferno11–13-0.0720%24 Aug →
nuke13–30.0314%22 Aug →
train5–13-0.0218%20 Aug →
nuke11–130.0027%20 Aug →
inferno13–30.0121%20 Aug →
nuke8–13-0.0618%19 Aug →
nuke15–19-0.0616%19 Aug →
inferno16–14-0.0118%6 Aug →
overpass3–13-0.0916%5 Aug →
ancient11–13-0.0119%5 Aug →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.