NuclearWarhead

NuclearWarhead — CS2 Stats

76561199798353466[U:1:1838087738]Steam profile ↗✓ No bans

276Tracked matches38%Win rate2024Tracked since
153Hours in CS
CSDB Rating3.0 LearningPositional Player
Premier CS Rating4,922Grey band · top ~79.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 May 2026 (174 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: 4,922 +2,480 13 May – 15 May · 24 days played
2,3274,922peak 4,92213 May15 May
4,999Peak Premier in tracked matches
53Days played since 2025-05-13

Premier CS Rating

  • At peak — 4,922
  • +335 over 30 days · steady
  • Next: Light Blue band at 5,000 — 78 to go

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 Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate37.8%38.2%39.9%2.1% short
Shot accuracy0.0%3.6%7.0%7.0% short
Kill/death ratio0.790.830.920.13 short
Match win rate38.8%40.2%42.3%3.5% short

This profile sits below the typical Light Blue band player on every metric we can compare.

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

Share this profile

CSDB.GGNuclearWarheadPREMIER4,922 · Grey bandcsdb.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

Aim25
Positioning48
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY50–48–2Last 10050%Win rateLWLWWWLWLW

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · −0.1pp headshot accuracy · −5ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 748ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 720ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 723ms

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 (+1.4 against its own average).

Aim2.5
Utility4.5
Positioning4.8
Opening Duels1.0

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

iM

Plays most like iM 63% 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

Reaction time. 709ms 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

Aim2.5
Positioning4.8
Utility4.5
Mechanics5.0
Opening Duels0.9
Win Impact1.0

Composite 3.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time708ms−45ms
first ⅓ avg 754ms → last ⅓ avg 708ms
Headshot accuracy11.7%−0.3%
first ⅓ avg 12.0% → last ⅓ avg 11.7%

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

0.21Best match rating · 13–4 · nuke, 16 May →
36%Best headshot accuracy · 4–1 · inferno, 19 Mar →
453msFastest reaction time · 13–9 · inferno, 23 Feb →
13–1Biggest win · mirage, 28 Feb →

Across the last 100 tracked matches.

Highlights

9Longest win streak
7–5In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 70% over 10anubisWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC2610–1638%-0.02
nukeS2315–865%-0.00
infernoS107–370%-0.03
anubisD82–625%-0.02
ancientC73–443%-0.01
officeB63–350%-0.03
dust2C52–340%-0.05
overpass—42–250%-0.04
vertigo—43–175%-0.04
train—32–167%-0.07
cache—10–10%-0.03
warden—10–10%-0.01
golden—10–10%0.01
grail—11–0100%-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

5,844Lifetime kills
0.79K/D
459Matches
38.8%Match win rate
37.8%Headshot %
0.0%Shot accuracy
425MVPs
153Hours (in match)
356Bombs planted
56Bombs defused

Most-used weapons

Lifetime map wins

718nuke
429inferno
262dust2
196vertigo
157train
90office
9italy
8ar_shoots

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

Skill profile

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

11.4%Headshot accuracy
27.7%Accuracy (enemy spotted)
29.4%Spray accuracy
72.4%Counter-strafing
10.8°Preaim
709msReaction time
29.9%T opening success
37.1%CT opening success
0.54Enemies flashed / flash
4.8%Flash assists
5.44HE damage / grenade
8.26Flashes / 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 11.4356% — below the 15% mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 709.0114ms — above the 700ms mark we flag

    Aim Training →
  3. 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 29.8937% — below the 40% mark we flag

Spend your practice time on Anubis

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache1–10-0.0310%18 May →
overpass13–90.0114%15 May →
anubis4–13-0.0214%15 May →
nuke13–6-0.0120%15 May →
mirage13–20.0413%15 May →
dust213–70.0113%14 May →
overpass5–13-0.092%7 May →
mirage13–30.0210%7 May →
nuke7–13-0.098%6 May →
inferno13–6-0.0412%6 May →
nuke13–110.0113%6 May →
inferno5–130.017%6 May →
ancient13–7-0.0317%5 May →
nuke13–11-0.0215%5 May →
nuke10–13-0.0313%5 May →
mirage9–130.0312%5 May →
mirage11–13-0.036%4 May →
dust28–13-0.069%3 May →
anubis9–13-0.0315%1 May →
mirage5–130.0312%1 May →
ancient15–150.046%28 Apr →
mirage4–13-0.0611%27 Apr →
dust213–16-0.046%25 Apr →
anubis11–130.025%25 Apr →
nuke6–130.0411%23 Apr →
anubis13–6-0.0011%23 Apr →
ancient8–13-0.0613%22 Apr →
dust23–13-0.0728%22 Apr →
nuke13–11-0.0313%19 Apr →
nuke8–13-0.0212%19 Apr →
inferno13–9-0.079%18 Apr →
mirage10–13-0.0218%12 Apr →
mirage3–13-0.0910%12 Apr →
mirage11–13-0.076%8 Apr →
inferno4–13-0.047%19 Mar →
ancient13–90.0113%19 Mar →
inferno4–10.0436%19 Mar →
vertigo13–8-0.055%15 Mar →
inferno13–60.0315%15 Mar →
ancient13–70.0522%8 Mar →
mirage3–13-0.1415%2 Mar →
inferno13–5-0.0411%28 Feb →
mirage13–10.0218%28 Feb →
anubis13–20.029%28 Feb →
inferno13–9-0.0711%23 Feb →
overpass13–5-0.0314%22 Feb →
nuke13–5-0.0614%22 Feb →
nuke13–7-0.0416%20 Feb →
office13–90.0110%13 Feb →
office13–11-0.0519%13 Feb →
mirage12–16-0.0711%7 Feb →
nuke13–70.0320%7 Feb →
mirage4–13-0.056%7 Feb →
mirage13–4-0.0615%23 Jan →
office6–130.0115%23 Jan →
inferno1–9-0.065%23 Jan →
mirage8–13-0.048%23 Jan →
mirage1–8-0.0213%23 Jan →
warden7–13-0.0114%22 Jan →
mirage6–13-0.0610%19 Jan →
nuke13–9-0.0421%14 Jan →
ancient1–13-0.068%14 Jan →
golden0–70.017%8 Dec →
office7–13-0.0915%8 Dec →
office13–7-0.0415%8 Dec →
office9–13-0.043%7 Dec →
overpass3–11-0.0610%21 Nov →
train3–13-0.099%21 Nov →
anubis7–13-0.107%10 Nov →
nuke13–60.0020%11 Oct →
vertigo13–11-0.0313%11 Oct →
nuke13–60.0216%14 Sept →
nuke13–3-0.0411%9 Aug →
train13–4-0.0614%17 Jul →
dust213–5-0.0717%17 Jul →
nuke2–13-0.068%20 Jun →
mirage7–13-0.0111%19 Jun →
mirage6–100.0512%10 Jun →
nuke14–16-0.0111%30 May →
mirage13–8-0.0417%30 May →
train13–11-0.0715%26 May →
mirage13–5-0.038%24 May →
anubis10–130.0010%24 May →
mirage13–90.0120%19 May →
nuke13–70.0215%19 May →
nuke13–80.038%18 May →
mirage16–12-0.0314%18 May →
nuke9–13-0.0212%18 May →
mirage10–130.0011%17 May →
vertigo11–13-0.017%16 May →
ancient15–150.0212%16 May →
nuke6–10.0211%16 May →
mirage13–40.0415%16 May →
nuke13–40.2110%16 May →
mirage9–4-0.0310%15 May →
inferno13–110.006%14 May →
vertigo13–8-0.0810%14 May →
anubis6–13-0.0419%14 May →
nuke9–130.0410%13 May →
grail13–9-0.008%13 May →

Match data via Leetify.

Recent teammates

Milestones

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

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