Hulk998

Hulk998 — CS2 Stats

CN76561198093964355[U:1:133698627]Steam profile ↗✓ No bans

3,585Tracked matches53%Win rate2020Tracked since
8,635Hours in CS5Hrs last 2 wks
CSDB Rating6.7 SolidSupport
FaceitLevel 10 · 3,009 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (25 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 3,009 → 3,009
+12Tracked matches · now 3,585
0.0ppWin rate · 53.3% → 53.3%

Rating over time

Premier CS Rating: 21,433 -7,057 11 Jan – 6 Jul · 9 days played
21,43329,497peak 29,49711 Jan6 Jul
Faceit ELO: 3,009 +0 4 Sept – 20 Sept · 2 observations
3,0093,009peak 3,0094 Sept20 Sept
29,999Peak Premier in tracked matches
3,009Highest Faceit ELO seen on CSDB
37Days played since 2026-01-11

Faceit ELO

  • At peak — 3,009
  • Next: 3,500 ELO at 3,500 — 491 to go
  • Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
  • 3,000 ELO first seen 2026-09-04
  • 2,500 ELO 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches21——
Win rate57%——
K/D1.11——
Headshot %57%——

Measured 11 Sep 2026 → 15 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,846), 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 10 median
Headshot rate58.5%50.9%
Shot accuracy18.0%13.7%
Kill/death ratio0.971.09
Match win rate49.0%48.4%

Share this profile

CSDB.GGHulk998FACEITLevel 10 · 3,009 ELOSTANDINGTop 12.4% of rankedPEAK ELO3,009csdb.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

Aim78
Positioning53
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY51–47–2Last 10051%Win rateWWLLWLWWWL

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · −0.6pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 27%
  • Avg reaction 572ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 596ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 27%
  • Avg reaction 635ms

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 (+1.3 against its own average).

Aim7.8
Utility6.4
Positioning5.3
Opening Duels4.2
Clutch4.6

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

NiKo

Plays most like NiKo 88% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower positioning 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. 629ms 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

Aim7.8
Positioning5.3
Utility6.4
Mechanics7.1
Opening Duels3.0
Win Impact6.1

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 time636ms−14ms
first ⅓ avg 650ms → last ⅓ avg 636ms
Headshot accuracy28.2%+3.2%
first ⅓ avg 25.0% → last ⅓ avg 28.2%

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

0.14Best match rating · 13–6 · anubis, 4 Jul →
50%Best headshot accuracy · 0–4 · nuke, 23 May →
359msFastest reaction time · 13–5 · ancient, 1 May →
13–2Biggest win · overpass, 4 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
6–7In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 60% over 15infernoWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
ancientA1911–858%0.00
mirageC188–1044%0.02
anubisA159–660%0.00
nukeB136–746%0.01
dust2C125–742%-0.01
overpassA127–558%0.00
infernoC52–340%-0.04
cache—42–250%-0.01
train—21–150%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

306,146Lifetime kills
0.97K/D
10,999Matches
49.0%Match win rate · Top 50% of Level 10 players
58.5%Headshot % · Top 25% of Level 10 players
18.0%Shot accuracy · Top 25% of Level 10 players
28,999MVPs
7,059Hours (in match)
11,773Bombs planted
3,649Bombs defused

Most-used weapons

AK-47123,451
AWP22,394
SG 5535,503
UMP-454,526
P2504,461
FAMAS4,445

Lifetime map wins

12,355dust2
12,212vertigo
11,681inferno
8,537train
7,368nuke
4,654cbble
251lake
217office

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

Faceit stats

Combat

4,224Matches
52%Win rate
1.08Avg K/D
83.6ADR
55%Headshot %

Clutches & streaks

43%1v1 clutch win
24%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis21955%1.2316.7
Nuke19354%1.2417.1
Ancient12748%1.1516.4
Train8660%1.3019.1
Overpass7867%1.3617.1
Inferno4038%1.0616.1
Mirage3345%1.1515.6
Cache1747%1.3619.6

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.

26.5%Headshot accuracy
34.2%Accuracy (enemy spotted)
38.6%Spray accuracy
82.0%Counter-strafing
9.7°Preaim
629msReaction time
35.5%T opening success
48.6%CT opening success
0.69Enemies flashed / flash
13.2%Flash assists
9.31HE damage / grenade
11.59Flashes / 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 35.4551% — below the 40% mark we flag

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.

40% 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
anubis13–6-0.0418%4 Sept →
cache13–40.0630%31 Aug →
ancient7–130.0121%31 Aug →
cache9–13-0.0028%21 Aug →
dust213–9-0.0037%27 Jul →
cache9–130.0128%27 Jul →
mirage13–5-0.0239%11 Jul →
nuke13–100.0127%11 Jul →
cache13–3-0.0920%11 Jul →
ancient8–13-0.0214%6 Jul →
ancient13–5-0.0131%5 Jul →
mirage6–130.0229%5 Jul →
ancient5–13-0.0042%5 Jul →
mirage13–30.1323%5 Jul →
anubis13–70.0325%4 Jul →
ancient2–13-0.1116%4 Jul →
anubis13–60.1440%4 Jul →
overpass13–2-0.0623%4 Jul →
mirage16–120.0619%4 Jul →
ancient13–70.0620%4 Jul →
anubis13–11-0.0529%4 Jul →
mirage4–13-0.0135%4 Jul →
mirage10–130.0326%4 Jul →
dust211–13-0.0333%4 Jul →
nuke0–4-0.0850%23 May →
overpass13–70.0335%19 May →
anubis13–9-0.0415%16 May →
nuke11–130.0120%16 May →
overpass13–160.0120%16 May →
anubis7–13-0.0327%16 May →
inferno13–90.0234%16 May →
overpass13–50.1037%16 May →
nuke13–80.0238%16 May →
anubis14–160.0323%12 May →
inferno22–19-0.0224%7 May →
inferno0–13-0.1113%7 May →
ancient13–160.0426%7 May →
ancient13–3-0.0932%2 May →
inferno11–13-0.0328%2 May →
nuke4–13-0.0335%2 May →
anubis13–70.0134%2 May →
nuke13–70.0128%2 May →
nuke13–70.0423%2 May →
overpass13–50.0126%2 May →
mirage13–7-0.0243%2 May →
anubis4–13-0.0635%1 May →
ancient13–50.0115%1 May →
ancient13–80.0025%1 May →
mirage11–13-0.0130%1 May →
ancient7–13-0.0123%1 May →
anubis16–13-0.0214%26 Apr →
ancient3–13-0.0724%26 Apr →
ancient13–160.0119%24 Apr →
nuke9–13-0.0325%18 Apr →
overpass13–70.0031%16 Apr →
overpass13–50.0023%7 Apr →
nuke8–13-0.0536%7 Apr →
nuke19–170.0327%6 Apr →
overpass11–13-0.0614%16 Mar →
inferno5–13-0.0726%22 Feb →
nuke2–13-0.0114%21 Feb →
dust29–130.0129%20 Feb →
anubis5–13-0.0226%20 Feb →
nuke13–70.1225%6 Feb →
overpass19–220.0020%31 Jan →
mirage13–6-0.0324%31 Jan →
mirage13–20.0630%31 Jan →
mirage13–8-0.0037%29 Jan →
dust22–7-0.0533%29 Jan →
ancient13–7-0.0119%26 Jan →
anubis5–13-0.0331%24 Jan →
dust23–1-0.069%18 Jan →
anubis10–130.0322%17 Jan →
anubis13–40.0619%17 Jan →
overpass13–8-0.0011%17 Jan →
anubis13–50.0128%17 Jan →
overpass14–16-0.0217%17 Jan →
nuke15–150.0632%17 Jan →
mirage10–130.0540%17 Jan →
train3–130.0224%17 Jan →
dust29–13-0.0142%16 Jan →
mirage8–130.0119%16 Jan →
dust216–140.0636%16 Jan →
ancient2–10.0214%16 Jan →
dust215–15-0.0124%15 Jan →
ancient13–7-0.0218%15 Jan →
dust28–13-0.0030%15 Jan →
mirage6–130.0216%15 Jan →
mirage5–110.0833%14 Jan →
dust28–13-0.0512%14 Jan →
mirage8–130.0116%14 Jan →
ancient13–80.0722%14 Jan →
mirage3–20.0425%14 Jan →
dust213–8-0.0819%14 Jan →
ancient13–60.0723%14 Jan →
train13–70.0529%12 Jan →
dust213–90.1234%12 Jan →
overpass8–130.0532%12 Jan →
mirage7–130.0136%11 Jan →
ancient13–80.0521%11 Jan →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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