hlmgd

hlmgd — CS2 Stats

DK76561198835561412[U:1:875295684]Steam profile ↗✓ No bans

1,398Tracked matches41%Win rate2020Tracked since
3,249Hours in CS20Hrs last 2 wks
CSDB Rating4.8 DevelopingPositional Player
FaceitLevel 10 · 2,074 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 14,472 -1,221 12 Feb – 7 Sept · 5 days played
13,74015,950peak 15,95012 Feb7 Sept
16,064Peak Premier in tracked matches
2,074Highest Faceit ELO seen on CSDB
74Days played since 2024-01-20

Faceit ELO

  • At peak — 2,074
  • Next: 2,500 ELO at 2,500 — 426 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

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 Level 10 among CSDB-tracked players (n=30,986), 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 rate64.5%50.9%
Shot accuracy15.8%13.7%
Kill/death ratio0.831.09
Match win rate50.8%48.4%

Share this profile

CSDB.GGhlmgdFACEITLevel 10 · 2,074 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,074csdb.gg/stats

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Performance scores

Aim74
Positioning49
Utility15

0–100 skill scores via Leetify.

Recent form

STEADY55–42–3Last 10055%Win rateWLLLWWLLLW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −3.0pp headshot accuracy · +13ms reaction

Win rate 0pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 598ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 575ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 569ms

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 (+1.5 against its own average).

Aim7.4
Utility1.5
Positioning4.9
Opening Duels3.5
Clutch3.6

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

donk

Plays most like donk 89% 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 48% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 567ms 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

Aim7.4
Positioning4.9
Utility1.5
Mechanics5.9
Opening Duels2.3
Win Impact2.1

Composite 4.8/10 (Developing), 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 rating0.01−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time574ms+17ms
first ⅓ avg 558ms → last ⅓ avg 574ms
Headshot accuracy22.7%−1.1%
first ⅓ avg 23.8% → last ⅓ avg 22.7%

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

0.16Best match rating · 9–1 · vertigo, 4 Sept →
50%Best headshot accuracy · 9–1 · vertigo, 4 Sept →
406msFastest reaction time · 13–11 · mirage, 20 Jan →
13–2Biggest win · overpass, 19 Feb →

Across the last 100 tracked matches.

Highlights

7Longest win streak
9–7In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 73% over 11ancientWeakest map · 50% over 14
MapGradePlayedRecordWin rateAvg rating
vertigoA2214–864%0.03
ancientB147–750%0.01
nukeA148–657%0.02
mirageB126–650%0.01
anubisS118–373%0.00
overpassA117–464%0.03
infernoB84–450%0.02
cache—30–30%-0.01
train—31–233%-0.03
dust2—20–20%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (50% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

105,130Lifetime kills
0.83K/D
2,332Matches
50.8%Match win rate · Top 50% of Level 10 players
64.5%Headshot % · Top 10% of Level 10 players
15.8%Shot accuracy · Top 50% of Level 10 players
7,500MVPs
11,934Hours (in match)
953Bombs planted
771Bombs defused

Most-used weapons

AK-4750,509
AWP6,163
Knife1,224
FAMAS1,134
MP9902

Lifetime map wins

5,476inferno
4,512nuke
3,837vertigo
1,267dust2
508train
51cbble
13office
10safehouse

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

Faceit stats

Combat

1,443Matches
52%Win rate
1.24Avg K/D
78.0ADR
48%Headshot %

Clutches & streaks

38%1v1 clutch win
18%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Nuke13358%1.2017.5
Ancient12546%1.0616.3
Anubis11450%1.1015.6
Mirage10241%1.0714.9
Vertigo7864%1.3318.7
Inferno6138%1.1316.1
Overpass5362%1.2016.2
Dust22832%0.9415.5

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.

21.9%Headshot accuracy
33.7%Accuracy (enemy spotted)
37.0%Spray accuracy
76.4%Counter-strafing
9.2°Preaim
567msReaction time
29.1%T opening success
48.1%CT opening success
0.20Enemies flashed / flash
4.3%Flash assists
6.15HE damage / grenade
2.40Flashes / 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 0.1978 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 29.1422% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
ancient13–11-0.029%5 Oct →
cache9–13-0.0121%29 Sept →
anubis7–130.0021%29 Sept →
mirage7–130.0428%27 Sept →
nuke19–16-0.0111%18 Sept →
anubis13–60.0221%14 Sept →
cache8–13-0.0220%14 Sept →
cache10–130.0216%5 Sept →
ancient11–130.0125%7 Aug →
ancient13–80.0326%6 Aug →
anubis3–13-0.0444%7 Jul →
overpass13–2-0.0130%19 Feb →
anubis13–8-0.0323%23 Jan →
mirage7–13-0.0330%29 Dec →
overpass9–13-0.0221%25 Dec →
nuke6–13-0.0317%23 Dec →
overpass13–40.0318%18 Dec →
mirage3–13-0.0311%18 Dec →
nuke11–130.0316%14 Dec →
overpass13–110.0319%4 Dec →
nuke12–120.1031%21 Aug →
mirage13–5-0.0131%20 Aug →
train13–16-0.0532%16 Aug →
train8–13-0.0417%12 Aug →
overpass13–16-0.0315%7 Aug →
train13–10-0.0121%6 Aug →
ancient13–100.0131%31 Jul →
overpass8–130.0826%30 Jul →
overpass13–100.0515%29 Jul →
nuke6–130.1128%28 Jul →
overpass2–13-0.0227%28 Jul →
anubis16–130.0719%7 Jul →
ancient4–13-0.0131%30 Jun →
nuke13–50.0015%20 May →
ancient17–19-0.0122%13 May →
inferno13–100.0829%11 Apr →
anubis16–13-0.0229%24 Mar →
ancient3–13-0.0625%19 Mar →
nuke13–11-0.0513%11 Mar →
inferno9–130.0119%15 Feb →
mirage13–60.0523%23 Jan →
inferno8–13-0.0215%14 Jan →
mirage13–30.0528%10 Jan →
anubis13–7-0.0019%27 Dec →
ancient8–130.0123%27 Dec →
vertigo13–70.0915%27 Dec →
ancient13–100.0717%25 Dec →
anubis13–90.0523%11 Dec →
dust27–13-0.0331%11 Dec →
vertigo13–20.0111%10 Dec →
inferno22–190.0121%10 Dec →
anubis4–13-0.0526%7 Nov →
mirage13–60.0521%28 Sept →
vertigo14–160.0121%24 Sept →
ancient13–60.0920%24 Sept →
nuke13–110.0618%11 Sept →
vertigo13–90.1323%7 Sept →
vertigo9–10.1650%4 Sept →
inferno13–40.0527%31 Aug →
vertigo13–70.0226%30 Jul →
nuke16–120.0119%26 May →
vertigo5–13-0.0016%9 May →
dust24–13-0.0237%5 May →
vertigo13–9-0.0420%30 Apr →
vertigo13–100.0217%27 Apr →
vertigo13–100.0217%24 Apr →
overpass13–70.0121%21 Apr →
overpass13–60.1015%20 Apr →
ancient7–13-0.0621%6 Apr →
vertigo13–40.0626%24 Mar →
vertigo13–160.0425%24 Mar →
vertigo6–13-0.0317%18 Mar →
inferno13–110.0125%9 Mar →
ancient7–130.0728%9 Mar →
vertigo10–13-0.0134%9 Mar →
anubis13–70.0120%9 Mar →
mirage13–80.0527%9 Mar →
ancient13–11-0.0416%5 Mar →
ancient13–110.0424%2 Mar →
nuke16–14-0.0016%2 Mar →
vertigo13–90.0318%2 Mar →
vertigo7–13-0.0830%1 Mar →
overpass13–20.0517%1 Mar →
anubis13–80.0424%18 Feb →
vertigo13–50.0918%18 Feb →
vertigo13–90.0630%17 Feb →
nuke11–13-0.0120%16 Feb →
vertigo13–4-0.0317%16 Feb →
nuke13–100.0624%12 Feb →
mirage8–13-0.0032%11 Feb →
vertigo8–110.0426%7 Feb →
nuke13–80.0733%7 Feb →
vertigo12–120.0724%7 Feb →
vertigo13–50.0819%7 Feb →
inferno10–13-0.0220%25 Jan →
mirage13–110.0117%20 Jan →
inferno11–130.0419%20 Jan →
mirage14–16-0.0238%20 Jan →
mirage9–130.0146%20 Jan →
nuke15–15-0.0221%20 Jan →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 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.