HEAVY1GAWD

HEAVY1GAWD — CS2 Stats

76561199813520786[U:1:1853255058]Steam profile ↗✓ No bans

781Tracked matches35%Win rate2024Tracked since
878Hours in CS41Hrs last 2 wks
CSDB Rating3.1 LearningPositional Player
Premier CS Rating24,241Top 25% of 215,386 CSDB-tracked playersPink band · top ~3.8% of ranked players (population est.)
CSDB Leaderboard#30945 of 261624 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Nov 2026 (yesterday). 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: 24,241 -860 30 Aug – 14 Nov · 11 days played
24,24126,195peak 26,19530 Aug14 Nov
26,195Peak Premier in tracked matches
1,350Highest Faceit ELO seen on CSDB
39Days played since 2026-08-30

Premier CS Rating

  • 1,954 below peak (26,195)
  • -1,003 over 30 days · declining
  • -860 over 90 days
  • Next: Red band at 25,000 — 759 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-30
  • Pink band first seen 2026-08-30

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 Level 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate41.5%44.8%45.7%4.2% short
Shot accuracy0.0%12.4%12.7%12.7% short
Kill/death ratio1.041.031.05meets
Match win rate52.9%45.2%45.7%above

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGHEAVY1GAWDFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER24,241 · Pink bandPEAK ELO1,350csdb.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
Positioning57
Utility19

0–100 skill scores via Leetify.

Recent form

COLD34–56–10Last 10034%Win rateLTLLLWWTLL

Last 10 vs previous 10: −20pp win rate · −0.05 avg rating · −6.6pp headshot accuracy · +54ms reaction

Win rate down 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

  • 0–4–1 · 0% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 11%
  • Avg reaction 610ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 684ms

Last 20

  • 6–9–5 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 657ms

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 (+1.9 against its own average).

Aim2.5
Utility1.9
Positioning5.7
Opening Duels3.0
Clutch4.8

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 74% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 678ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim2.5
Positioning5.7
Utility1.9
Mechanics3.6
Opening Duels3.7
Win Impact0.0

Composite 3.1/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time684ms+92ms
first ⅓ avg 592ms → last ⅓ avg 684ms
Headshot accuracy13.5%−0.5%
first ⅓ avg 14.0% → last ⅓ avg 13.5%

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

0.20Best match rating · 13–6 · dust2, 27 Sept →
48%Best headshot accuracy · 13–6 · dust2, 27 Sept →
289msFastest reaction time · 13–2 · anubis, 16 Sept →
13–0Biggest win · dust2, 19 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
4–1In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 40% over 67infernoWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C6727–4040%-0.02
mirageD144–1029%-0.03
anubisD51–420%0.00
nukeC52–340%0.06
infernoD50–50%-0.12
ancient—10–10%-0.04
office—10–10%-0.12
train—10–10%-0.17
poseidon—10–10%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,155Lifetime kills
1.04K/D · Top 50% of Level 6 players
1,144Matches
52.9%Match win rate · Top 10% of Level 6 players
41.5%Headshot %
0.0%Shot accuracy
3,125MVPs
429Hours (in match)
1,126Bombs planted
354Bombs defused

Most-used weapons

Lifetime map wins

4,599dust2
953inferno
856nuke
499train
76vertigo
41office
35italy
3ar_shoots

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

Faceit stats

Combat

142Matches
53%Win rate
1.20Avg K/D
85.3ADR
44%Headshot %

Clutches & streaks

44%1v1 clutch win
24%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4547%1.1715.4
Dust23653%1.1816.5
Nuke1958%1.2918.9
Inferno1850%1.0613.9
Ancient875%1.3717.1
Anubis743%1.1013.9
Overpass580%1.2817.6
Train450%1.5011.8

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.

13.5%Headshot accuracy
27.9%Accuracy (enemy spotted)
26.0%Spray accuracy
66.0%Counter-strafing
10.0°Preaim
678msReaction time
48.9%T opening success
40.7%CT opening success
0.22Enemies flashed / flash
2.0%Flash assists
9.92HE damage / grenade
1.83Flashes / 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 13.496% — below the 15% mark we flag

    Aim Training →
  2. 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 0.2162 — below the 0.5 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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage6–13-0.0418%14 Nov →
mirage12–12-0.089%14 Nov →
mirage0–13-0.095%14 Nov →
mirage1–13-0.1211%13 Nov →
ancient6–13-0.0412%13 Nov →
dust213–30.0420%13 Nov →
dust213–60.039%13 Nov →
dust212–12-0.0414%13 Nov →
dust26–13-0.108%13 Nov →
anubis8–13-0.0711%13 Nov →
dust29–13-0.0813%12 Nov →
dust213–11-0.0416%12 Nov →
dust212–120.1316%12 Nov →
anubis8–13-0.0112%11 Nov →
mirage4–13-0.1031%11 Nov →
dust213–30.0135%11 Nov →
dust213–40.0420%10 Nov →
dust213–110.0816%9 Nov →
dust212–12-0.0411%9 Nov →
dust212–12-0.0213%9 Nov →
dust29–130.0310%6 Nov →
dust21–13-0.0914%6 Nov →
dust27–13-0.097%6 Nov →
dust28–13-0.0814%6 Nov →
dust23–13-0.097%6 Nov →
dust213–100.0220%5 Nov →
dust212–12-0.085%5 Nov →
dust213–10-0.0612%4 Nov →
dust212–12-0.0116%4 Nov →
dust26–13-0.097%4 Nov →
dust213–70.017%4 Nov →
dust213–10-0.0411%3 Nov →
dust24–13-0.0716%3 Nov →
dust25–13-0.0210%3 Nov →
dust213–7-0.017%3 Nov →
dust213–80.0727%3 Nov →
dust213–9-0.118%2 Nov →
dust28–13-0.083%2 Nov →
mirage13–70.0118%2 Nov →
nuke9–60.138%2 Nov →
inferno4–9-0.1519%30 Oct →
dust26–13-0.0617%30 Oct →
anubis2–13-0.069%27 Oct →
dust28–13-0.023%27 Oct →
dust29–13-0.0317%27 Oct →
dust20–13-0.0718%26 Oct →
mirage5–13-0.0514%23 Oct →
dust210–13-0.0319%22 Oct →
dust23–13-0.0812%22 Oct →
dust25–13-0.0420%22 Oct →
dust27–13-0.0526%22 Oct →
nuke4–13-0.0416%22 Oct →
dust25–13-0.037%22 Oct →
dust29–3-0.0435%22 Oct →
inferno1–9-0.1320%21 Oct →
office3–13-0.120%21 Oct →
inferno5–9-0.0629%20 Oct →
dust213–00.1919%19 Oct →
dust26–6-0.065%18 Oct →
anubis7–130.0622%17 Oct →
nuke6–130.0626%16 Oct →
mirage12–120.1517%15 Oct →
dust213–50.0715%15 Oct →
mirage13–80.0316%15 Oct →
mirage1–13-0.0910%13 Oct →
train12–12-0.175%13 Oct →
dust29–3-0.080%9 Oct →
inferno2–13-0.110%7 Oct →
dust213–30.010%6 Oct →
mirage6–13-0.0814%4 Oct →
dust22–13-0.0313%4 Oct →
dust213–5-0.058%30 Sept →
dust26–13-0.1313%29 Sept →
dust25–130.0540%29 Sept →
dust213–10-0.0914%27 Sept →
dust22–13-0.134%27 Sept →
dust22–13-0.123%27 Sept →
dust213–60.2048%27 Sept →
dust213–8-0.0424%26 Sept →
mirage13–50.0210%26 Sept →
dust213–7-0.0212%25 Sept →
dust29–13-0.088%25 Sept →
dust25–13-0.027%25 Sept →
dust24–13-0.0526%25 Sept →
dust213–40.1127%24 Sept →
mirage11–13-0.0314%24 Sept →
dust25–6-0.1014%24 Sept →
nuke7–130.0127%18 Sept →
anubis13–20.1017%16 Sept →
mirage13–80.094%16 Sept →
poseidon8–80.0222%13 Sept →
nuke9–10.1522%13 Sept →
inferno1–9-0.1820%13 Sept →
dust22–13-0.0414%11 Sept →
dust28–13-0.049%11 Sept →
dust25–13-0.0111%11 Sept →
dust24–130.025%11 Sept →
dust26–130.027%11 Sept →
dust23–13-0.050%6 Sept →
dust213–100.027%6 Sept →

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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