Newt

Newt — CS2 Stats

DE76561198106537693[U:1:146271965]Steam profile ↗✓ No bans

976Tracked matches50%Win rate2020Tracked since
4,813Hours in CS5Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
Premier CS Rating18,988Top 50% of 215,386 CSDB-tracked playersPurple band · top ~12.5% of ranked players (population est.)
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 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: 18,988 -904 22 Jul – 14 Nov · 10 days played
18,95019,892peak 19,89222 Jul14 Nov
Faceit ELO: 1,330 +0 4 Sept – 11 Sept · 2 observations
1,3301,330peak 1,3304 Sept11 Sept
20,015Peak Premier in tracked matches
1,330Highest Faceit ELO seen on CSDB
26Days played since 2026-07-22

Premier CS Rating

  • 904 below peak (19,892)
  • +38 over 90 days
  • Next: Pink band at 20,000 — 1,012 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-04
  • Blue band first seen 2026-09-04

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. 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 Purple band among CSDB-tracked players (n=37,767), 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 rate41.1%44.4%46.9%5.8% short
Shot accuracy17.9%11.9%13.0%above
Kill/death ratio1.231.031.08above
Match win rate55.3%45.2%46.7%above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. 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.GGNewtPREMIER18,988 · Purple bandPEAK ELO1,330csdb.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

Aim70
Positioning62
Utility40

0–100 skill scores via Leetify.

Recent form

HOT45–44–11Last 10045%Win rateWLWWWLWWWT

Last 10 vs previous 10: +20pp win rate · +0.07 avg rating · +1.4pp headshot accuracy · −26ms reaction

Win rate up 20pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 16%
  • Avg reaction 620ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 17%
  • Avg reaction 593ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 16%
  • Avg reaction 606ms

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 (+1.6 against its own average).

Aim7.0
Utility4.0
Positioning6.2
Opening Duels4.9
Clutch3.2

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 91% 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

Reaction time. 582ms 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

Aim7.0
Positioning6.2
Utility4.0
Mechanics6.1
Opening Duels5.8
Win Impact5.0

Composite 5.9/10 (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 rating0.05+0.06
first ⅓ avg -0.01 → last ⅓ avg 0.05
Reaction time603ms+29ms
first ⅓ avg 574ms → last ⅓ avg 603ms
Headshot accuracy15.6%−1.9%
first ⅓ avg 17.5% → last ⅓ avg 15.6%

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

0.38Best match rating · 9–1 · inferno, 10 Nov →
36%Best headshot accuracy · 0–9 · inferno, 9 Sept →
352msFastest reaction time · 0–4 · inferno, 8 Aug →
13–4Biggest win · mirage, 9 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
11–5In matches decided by ≤2 rounds
2Overtime games

Map breakdown

poseidonBest map · 67% over 6dust2Weakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoD3712–2532%0.01
nukeA138–562%0.02
anubisC94–544%-0.02
overpassB63–350%0.01
poseidonS64–267%0.09
cacheA53–260%0.05
dust2D51–420%0.06
officeC52–340%0.02
debris—42–250%0.04
vertigo—32–167%0.09
mirage—33–0100%0.05
ancient—31–233%-0.05
boulder—10–10%0.10

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

219,819Lifetime kills
1.23K/D · Top 25% of Purple band
14,636Matches
55.3%Match win rate · Top 5% of Purple band
41.1%Headshot %
17.9%Shot accuracy · Top 10% of Purple band
21,927MVPs
2,875Hours (in match)
6,132Bombs planted
1,892Bombs defused

Most-used weapons

AK-4751,981
AWP17,143
MP77,449
AUG6,767
SG 5536,386
P905,973

Lifetime map wins

11,021dust2
7,973inferno
4,629nuke
4,490train
3,095cbble
958vertigo
646lake
550office

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

Faceit stats

Combat

201Matches
59%Win rate
1.15Avg K/D
83.1ADR
38%Headshot %

Clutches & streaks

36%1v1 clutch win
14%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis1580%0.9715.3
Mirage1464%1.0617.4
Inferno1457%0.8914.5
Cache1242%1.0417.5
Nuke1050%1.0115.4
Ancient862%0.8715.0
Overpass6100%1.4418.8
Dust2540%1.0314.0

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.

15.4%Headshot accuracy
38.4%Accuracy (enemy spotted)
41.9%Spray accuracy
77.2%Counter-strafing
11.3°Preaim
582msReaction time
51.0%T opening success
55.3%CT opening success
0.40Enemies flashed / flash
4.8%Flash assists
10.14HE damage / grenade
3.43Flashes / 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 0.3972 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–100.0117%11 Nov →
overpass0–9-0.274%11 Nov →
poseidon9–10.1519%11 Nov →
poseidon9–20.1722%11 Nov →
debris9–60.1316%11 Nov →
overpass6–9-0.0515%10 Nov →
overpass9–30.0810%10 Nov →
inferno9–10.3821%10 Nov →
vertigo9–30.1422%10 Nov →
inferno8–80.0320%5 Nov →
inferno9–5-0.0217%5 Nov →
nuke9–60.066%5 Nov →
overpass9–10.1916%31 Oct →
nuke6–90.0011%31 Oct →
inferno9–6-0.0021%31 Oct →
inferno8–8-0.0124%18 Oct →
nuke6–9-0.0518%18 Oct →
inferno5–9-0.1211%18 Oct →
inferno4–9-0.109%18 Oct →
nuke9–70.0819%18 Oct →
nuke9–40.1218%18 Oct →
inferno8–80.0119%12 Oct →
inferno8–80.0515%12 Oct →
overpass7–90.049%4 Oct →
debris8–80.0710%4 Oct →
inferno9–50.1626%4 Oct →
inferno9–50.0111%4 Oct →
inferno9–70.1919%4 Oct →
inferno10–13-0.0010%2 Oct →
cache13–110.0211%2 Oct →
dust213–50.1814%2 Oct →
nuke6–13-0.0618%2 Oct →
vertigo9–60.0816%12 Sept →
inferno6–9-0.0714%12 Sept →
inferno3–9-0.0930%12 Sept →
cache12–120.0613%12 Sept →
boulder8–130.109%12 Sept →
cache13–5-0.0113%11 Sept →
inferno13–110.0415%11 Sept →
nuke13–80.0715%11 Sept →
office2–13-0.060%11 Sept →
dust210–130.0515%9 Sept →
dust212–120.1026%9 Sept →
poseidon4–9-0.0821%9 Sept →
poseidon9–70.1214%9 Sept →
inferno0–9-0.1336%9 Sept →
inferno5–9-0.0513%9 Sept →
inferno9–50.0618%9 Sept →
inferno8–80.0122%9 Sept →
poseidon9–30.2325%9 Sept →
cache13–80.1322%9 Sept →
office13–70.0123%9 Sept →
inferno8–80.0620%9 Sept →
mirage13–40.1220%9 Sept →
nuke9–70.0215%7 Sept →
inferno6–9-0.0121%7 Sept →
inferno9–60.1625%7 Sept →
inferno9–4-0.0513%7 Sept →
vertigo5–90.0524%7 Sept →
poseidon5–9-0.049%7 Sept →
debris9–60.1314%7 Sept →
overpass9–60.109%7 Sept →
debris1–9-0.150%4 Sept →
inferno7–90.0429%4 Sept →
inferno5–9-0.0015%4 Sept →
inferno9–60.0717%4 Sept →
mirage13–110.0319%3 Sept →
dust210–13-0.0118%3 Sept →
office3–130.1118%3 Sept →
inferno4–9-0.0234%2 Sept →
inferno4–9-0.0132%2 Sept →
inferno8–80.0524%2 Sept →
inferno4–9-0.0719%2 Sept →
inferno8–8-0.0213%2 Sept →
nuke2–9-0.0823%2 Sept →
office13–70.0315%18 Aug →
office8–130.0122%18 Aug →
inferno0–4-0.0033%8 Aug →
dust210–13-0.0016%7 Aug →
mirage13–110.0218%1 Aug →
cache10–130.0316%1 Aug →
ancient5–13-0.0110%1 Aug →
nuke10–13-0.029%30 Jul →
inferno13–16-0.0411%29 Jul →
anubis13–11-0.0315%26 Jul →
ancient13–4-0.1010%26 Jul →
anubis11–130.0221%26 Jul →
nuke13–110.0116%26 Jul →
anubis11–130.0018%25 Jul →
anubis13–11-0.0723%25 Jul →
anubis7–13-0.048%25 Jul →
nuke13–80.0423%25 Jul →
ancient8–13-0.0316%24 Jul →
anubis2–13-0.044%23 Jul →
inferno13–9-0.0210%23 Jul →
anubis16–12-0.0024%23 Jul →
inferno10–13-0.0217%22 Jul →
anubis5–13-0.0616%22 Jul →
inferno11–13-0.0413%22 Jul →
nuke13–40.0314%22 Jul →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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