nexus

nexus — CS2 Stats

DE76561198017300666[U:1:57034938]Steam profile ↗✓ No bans

1,288Tracked matches64%Win rate2020Tracked since
6,003Hours in CS1Hrs last 2 wks
CSDB Rating6.7 SolidPositional Player
Premier CS Rating12,794Blue band · top ~40.1% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Nov 2026 (4 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: 12,794 +893 20 Jun – 7 Nov · 29 days played
9,47614,299peak 14,29920 Jun7 Nov
14,299Peak Premier in tracked matches
34Days played since 2026-06-20

Premier CS Rating

  • 1,505 below peak (14,299)
  • +1,769 over 30 days · improving
  • +2,601 over 90 days
  • Next: Purple band at 15,000 — 2,206 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-02
  • Light Blue band first seen 2026-09-02

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

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate27.5%42.0%44.4%16.9% short
Shot accuracy14.4%9.6%11.9%above
Kill/death ratio1.010.981.03meets
Match win rate188.0%43.8%45.2%above

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

Widest gap: Headshot rate. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGnexusPREMIER12,794 · Blue bandcsdb.gg/stats

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Performance scores

Aim75
Positioning74
Utility49

0–100 skill scores via Leetify.

Recent form

HOT50–43–7Last 10050%Win rateWWWWWWWWLT

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −1.6pp headshot accuracy · −19ms 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

  • 5–0 · 100% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 528ms

Last 10

  • 8–1–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 546ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 556ms

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 (+2.9 against its own average).

Aim7.5
Utility4.9
Positioning7.4
Opening Duels5.8
Clutch0.0

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 84% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 587ms 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

Aim7.5
Positioning7.4
Utility4.9
Mechanics7.1
Opening Duels5.6
Win Impact9.8

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time590ms−40ms
first ⅓ avg 629ms → last ⅓ avg 590ms
Headshot accuracy14.1%−1.9%
first ⅓ avg 16.0% → last ⅓ avg 14.1%

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

0.15Best match rating · 12–3 · dust2, 17 Oct →
59%Best headshot accuracy · 13–0 · mirage, 4 Jul →
469msFastest reaction time · 13–5 · inferno, 15 Oct →
13–0Biggest win · mirage, 4 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W8Current streak
8–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 62% over 21infernoWeakest map · 37% over 19
MapGradePlayedRecordWin rateAvg rating
dust2A2113–862%0.00
infernoC197–1237%-0.01
ancientB158–753%0.01
nukeA159–660%0.03
cacheB105–550%0.00
anubisC94–544%-0.01
mirageC83–538%0.03
overpass—31–233%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (37% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

70,674Lifetime kills
1.01K/D · Top 50% of Blue band
3,170Matches
188.0%Match win rate · Top 1% of Blue band
27.5%Headshot %
14.4%Shot accuracy · Top 25% of Blue band
6,529MVPs
1,058Hours (in match)
6,515Bombs planted
1,594Bombs defused

Most-used weapons

AK-4719,710
SG 55317,497
AWP17,259
UMP-452,629
P902,616
FAMAS2,236

Lifetime map wins

6,929inferno
5,526dust2
4,468nuke
2,535train
2,522cbble
1,353vertigo
456lake
381office

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

Faceit stats

Combat

229Matches
54%Win rate
1.17Avg K/D
69.0ADR
30%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Overpass10%0.7112.0
Cache1100%1.2018.0
Nuke1100%1.0013.0

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.

13.9%Headshot accuracy
38.5%Accuracy (enemy spotted)
41.3%Spray accuracy
81.8%Counter-strafing
9.5°Preaim
587msReaction time
55.5%T opening success
48.9%CT opening success
0.58Enemies flashed / flash
4.7%Flash assists
8.05HE damage / grenade
3.67Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.8957% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.6672 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–8-0.025%7 Nov →
dust212–30.1524%17 Oct →
anubis13–8-0.0415%16 Oct →
inferno13–50.0314%15 Oct →
ancient13–20.0014%10 Oct →
anubis13–40.035%26 Sept →
inferno13–4-0.0113%26 Sept →
mirage12–10.0419%26 Sept →
dust26–13-0.0111%25 Sept →
ancient15–15-0.0410%25 Sept →
inferno11–130.0516%25 Sept →
cache16–13-0.0119%25 Sept →
nuke13–10-0.0215%23 Sept →
cache13–10-0.0223%23 Sept →
ancient13–10-0.0310%22 Sept →
dust210–13-0.0227%22 Sept →
ancient13–60.048%22 Sept →
nuke13–10-0.009%22 Sept →
inferno11–130.036%14 Aug →
anubis10–130.0315%1 Aug →
cache6–13-0.0114%1 Aug →
mirage10–13-0.0616%30 Jul →
dust213–8-0.016%28 Jul →
dust213–11-0.0511%28 Jul →
ancient13–30.0111%28 Jul →
mirage7–130.0025%28 Jul →
dust213–70.0319%21 Jul →
inferno6–13-0.0511%20 Jul →
inferno9–13-0.0017%20 Jul →
nuke15–15-0.0112%19 Jul →
cache8–13-0.0218%19 Jul →
inferno13–11-0.0215%18 Jul →
nuke13–30.0714%18 Jul →
dust213–110.0123%18 Jul →
cache13–90.0313%18 Jul →
nuke3–13-0.0123%18 Jul →
inferno5–130.0321%18 Jul →
nuke13–90.0517%18 Jul →
dust213–50.0115%17 Jul →
cache13–40.0814%17 Jul →
anubis5–13-0.0618%17 Jul →
anubis15–150.029%17 Jul →
inferno5–13-0.0610%17 Jul →
dust24–130.0214%17 Jul →
dust216–12-0.0310%17 Jul →
inferno11–13-0.045%17 Jul →
ancient11–130.0614%17 Jul →
nuke15–150.0312%16 Jul →
ancient7–13-0.0210%16 Jul →
inferno13–160.048%16 Jul →
dust215–150.0413%13 Jul →
anubis3–13-0.1011%13 Jul →
inferno13–4-0.029%13 Jul →
cache8–13-0.0112%12 Jul →
inferno13–5-0.0112%12 Jul →
ancient13–80.0210%12 Jul →
nuke8–130.0710%12 Jul →
dust211–13-0.0113%12 Jul →
cache9–13-0.0414%11 Jul →
nuke13–110.0718%11 Jul →
cache13–100.048%10 Jul →
dust213–100.0311%10 Jul →
dust23–13-0.0417%10 Jul →
mirage11–130.0424%10 Jul →
nuke13–11-0.0318%10 Jul →
ancient11–130.0119%10 Jul →
inferno8–13-0.039%10 Jul →
anubis7–13-0.0218%9 Jul →
anubis13–20.0823%9 Jul →
nuke13–90.0711%7 Jul →
dust212–120.0320%7 Jul →
cache10–130.0115%7 Jul →
ancient6–130.056%4 Jul →
mirage13–00.1159%4 Jul →
dust211–3-0.0819%4 Jul →
nuke10–130.0213%3 Jul →
ancient7–130.0714%3 Jul →
mirage5–130.0713%3 Jul →
dust213–7-0.0413%1 Jul →
ancient13–110.035%1 Jul →
dust213–3-0.0126%30 Jun →
dust29–13-0.0117%30 Jun →
inferno3–13-0.0311%30 Jun →
nuke11–13-0.035%30 Jun →
nuke13–90.0719%30 Jun →
ancient13–110.0315%29 Jun →
inferno13–11-0.0111%29 Jun →
overpass9–13-0.0211%29 Jun →
inferno11–13-0.0314%29 Jun →
nuke13–60.058%29 Jun →
mirage13–100.1124%24 Jun →
dust213–80.0927%24 Jun →
inferno12–160.0110%24 Jun →
anubis13–40.0012%23 Jun →
inferno13–30.0214%23 Jun →
dust213–20.0221%23 Jun →
ancient7–13-0.0113%23 Jun →
overpass13–5-0.0213%23 Jun →
mirage11–13-0.078%22 Jun →
overpass15–15-0.0321%20 Jun →

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 →

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