Helmut

Helmut — CS2 Stats

VA76561199652152633[U:1:1691886905]Steam profile ↗✓ No bans

519Tracked matches63%Win rate2024Tracked since
754Hours in CS7Hrs last 2 wks
CSDB Rating4.5 DevelopingSupport
Premier CS Rating8,055Light Blue band · top ~64.2% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Oct 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: 8,055 -4,372 25 Apr – 2 Oct · 33 days played
6,83214,904peak 14,90425 Apr2 Oct
14,904Peak Premier in tracked matches
45Days played since 2026-04-25

Premier CS Rating

  • 6,849 below peak (14,904)
  • -2,774 over 90 days
  • Next: Blue band at 10,000 — 1,945 to go
  • Reached: Blue band · Light Blue band

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 3 among CSDB-tracked players (n=10,051), 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 3 medianLevel 4 medianvs Level 4
Headshot rate47.7%41.8%42.7%above
Shot accuracy0.0%12.2%11.3%11.3% short
Kill/death ratio0.980.980.99meets
Match win rate45.3%43.3%43.9%above

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

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGHelmutFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER8,055 · Light Blue 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

Aim59
Positioning30
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY52–46–2Last 10052%Win rateWWLWWLWWLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +0.6pp headshot accuracy · −11ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 24%
  • Avg reaction 648ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 624ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 630ms

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 (+3.1 against its own average).

Aim5.9
Utility6.3
Positioning3.0
Opening Duels0.0
Clutch3.6

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

Twistzz

Plays most like Twistzz 81% 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. 618ms 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

Aim5.9
Positioning3.0
Utility6.3
Mechanics5.1
Opening Duels0.0
Win Impact9.4

Composite 4.5/10 (Developing), 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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time646ms−33ms
first ⅓ avg 679ms → last ⅓ avg 646ms
Headshot accuracy20.1%+1.4%
first ⅓ avg 18.7% → last ⅓ avg 20.1%

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

0.13Best match rating · 13–4 · anubis, 22 Jul →
58%Best headshot accuracy · 13–4 · ancient, 28 Jun →
461msFastest reaction time · 3–13 · dust2, 12 Sept →
13–1Biggest win · mirage, 29 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
12–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 89% over 9infernoWeakest map · 35% over 23
MapGradePlayedRecordWin rateAvg rating
infernoC238–1535%-0.02
mirageC218–1338%-0.02
dust2B137–654%0.00
cacheS1210–283%-0.02
ancientB126–650%-0.00
nukeS98–189%-0.01
overpassB63–350%0.02
anubis—42–250%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 23). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,511Lifetime kills
0.98K/D · Top 50% of Level 3 players
1,002Matches
45.3%Match win rate · Top 50% of Level 3 players
47.7%Headshot % · Top 25% of Level 3 players
0.0%Shot accuracy
1,948MVPs
491Hours (in match)
741Bombs planted
231Bombs defused

Most-used weapons

Lifetime map wins

1,903inferno
1,768dust2
1,173nuke
230train
35vertigo
32office
26italy
2ar_baggage

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

Faceit stats

Combat

68Matches
44%Win rate
1.17Avg K/D
80.2ADR
45%Headshot %

Clutches & streaks

38%1v1 clutch win
19%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2143%1.2415.8
Dust21323%1.1918.3
Inferno933%0.9913.3
Anubis967%1.1413.8
Nuke729%0.9418.6
Overpass3100%1.3518.0
Ancient333%1.2216.0
Train2100%1.3619.5

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.

20.3%Headshot accuracy
32.7%Accuracy (enemy spotted)
40.2%Spray accuracy
73.1%Counter-strafing
11.5°Preaim
618msReaction time
26.1%T opening success
19.9%CT opening success
0.58Enemies flashed / flash
4.1%Flash assists
11.02HE damage / grenade
13.41Flashes / 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 26.0885% — 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.

35% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust216–140.0529%2 Oct →
dust213–100.0226%2 Oct →
mirage4–13-0.0940%27 Sept →
mirage13–70.0116%27 Sept →
nuke13–10-0.0110%26 Sept →
inferno6–13-0.029%26 Sept →
nuke13–9-0.0816%15 Sept →
inferno13–30.0524%12 Sept →
mirage6–13-0.0711%12 Sept →
inferno2–8-0.0213%12 Sept →
cache13–10-0.0120%12 Sept →
cache13–10-0.0323%12 Sept →
dust23–130.0324%12 Sept →
mirage13–1-0.0135%29 Aug →
inferno13–11-0.0219%21 Aug →
cache13–4-0.0416%20 Aug →
dust26–130.0013%20 Aug →
dust213–40.0414%14 Aug →
dust213–7-0.0311%10 Aug →
mirage1–50.0213%9 Aug →
overpass13–110.0030%9 Aug →
nuke13–4-0.0436%8 Aug →
anubis3–13-0.1025%3 Aug →
cache13–5-0.0416%3 Aug →
cache13–9-0.0047%2 Aug →
mirage5–13-0.1016%31 Jul →
dust28–13-0.0217%31 Jul →
inferno2–13-0.0310%31 Jul →
cache13–6-0.0115%28 Jul →
cache13–110.0319%25 Jul →
mirage4–13-0.0318%25 Jul →
anubis13–40.1313%22 Jul →
inferno6–130.0522%22 Jul →
mirage14–16-0.0313%18 Jul →
dust213–100.0027%18 Jul →
dust29–13-0.0016%17 Jul →
nuke13–110.0328%16 Jul →
dust28–13-0.0711%16 Jul →
ancient8–13-0.028%11 Jul →
mirage11–13-0.066%11 Jul →
inferno13–100.0314%11 Jul →
mirage13–60.007%5 Jul →
ancient11–13-0.0212%5 Jul →
overpass9–13-0.0220%5 Jul →
inferno3–13-0.0624%1 Jul →
dust22–130.0023%1 Jul →
nuke2–13-0.0532%30 Jun →
mirage12–160.0233%28 Jun →
ancient13–40.0458%28 Jun →
mirage13–60.1125%27 Jun →
mirage13–9-0.0310%27 Jun →
mirage11–130.1032%27 Jun →
nuke13–11-0.0124%27 Jun →
nuke13–110.0324%26 Jun →
inferno13–80.0628%26 Jun →
overpass13–60.1023%22 Jun →
nuke13–90.0521%22 Jun →
overpass13–20.1025%22 Jun →
overpass4–13-0.0329%20 Jun →
inferno11–130.0228%20 Jun →
inferno8–130.0331%20 Jun →
mirage3–13-0.0715%20 Jun →
inferno5–130.0131%20 Jun →
inferno13–90.0215%18 Jun →
cache13–11-0.0321%18 Jun →
mirage13–6-0.0914%18 Jun →
ancient13–7-0.0113%16 Jun →
mirage2–13-0.0215%16 Jun →
inferno5–13-0.0019%14 Jun →
mirage15–15-0.0517%14 Jun →
inferno13–6-0.0615%14 Jun →
mirage13–90.0013%14 Jun →
ancient13–100.0115%12 Jun →
mirage7–13-0.0529%12 Jun →
inferno10–13-0.0417%12 Jun →
dust213–80.0217%5 Jun →
nuke13–110.0024%3 Jun →
mirage13–11-0.0619%3 Jun →
ancient13–90.0121%30 May →
ancient9–13-0.0423%29 May →
ancient11–13-0.0422%25 May →
inferno3–13-0.0338%25 May →
ancient8–13-0.088%25 May →
ancient8–130.029%3 May →
inferno10–13-0.0324%3 May →
inferno13–3-0.0111%3 May →
inferno1–8-0.1122%2 May →
inferno7–13-0.0616%2 May →
inferno13–6-0.0415%2 May →
inferno10–13-0.0926%2 May →
ancient16–14-0.0111%2 May →
cache5–130.0319%1 May →
dust213–10-0.0426%1 May →
cache2–11-0.0925%1 May →
overpass15–15-0.0512%29 Apr →
cache13–110.0018%29 Apr →
cache13–10-0.0313%29 Apr →
anubis13–80.0520%26 Apr →
anubis9–130.0222%25 Apr →
ancient16–120.0716%25 Apr →

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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