HülgeMõla

HülgeMõla — CS2 Stats

EE76561198047848857[U:1:87583129]Steam profile ↗✓ No bans

825Tracked matches55%Win rate2020Tracked since
2,524Hours in CS64Hrs last 2 wks
CSDB Rating3.2 LearningPositional Player
Premier CS Rating19,063Top 50% of 201,122 CSDB-tracked playersPurple band · top ~12.2% of ranked players (population est.)
CSDB Leaderboard#93486 of 247939 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 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: 19,063 +5,070 25 Aug – 1 Oct · 19 days played
11,51219,063peak 19,06325 Aug1 Oct
19,063Peak Premier in tracked matches
19Days played since 2026-08-25

Premier CS Rating

  • At peak — 19,063
  • +4,821 over 30 days · improving
  • Next: Pink band at 20,000 — 937 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches116——
Win rate54%——
K/D0.70——
Headshot %42%——

Measured 6 Sep 2026 → 2 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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate35.3%44.3%46.9%11.6% short
Shot accuracy6.8%11.9%13.0%6.2% short
Kill/death ratio0.901.031.080.18 short
Match win rate45.4%45.2%46.7%1.2% short

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

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

Share this profile

CSDB.GGHülgeMõlaPREMIER19,063 · Purple bandcsdb.gg/stats

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Performance scores

Aim32
Positioning40
Utility17

0–100 skill scores via Leetify.

Recent form

STEADY46–52–2Last 10046%Win rateWWWWLWLLWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −11.1pp headshot accuracy · +63ms reaction

Win rate up 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

  • 4–1 · 80% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 697ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 9%
  • Avg reaction 609ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 15%
  • Avg reaction 578ms

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 (+2.3 against its own average).

Aim3.2
Utility1.7
Positioning4.0
Opening Duels1.1
Clutch0.0

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 79% 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. 557ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% 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

Aim3.2
Positioning4.0
Utility1.7
Mechanics2.4
Opening Duels1.4
Win Impact6.7

Composite 3.2/10 (Learning), 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 rating-0.05−0.03
first ⅓ avg -0.03 → last ⅓ avg -0.05
Reaction time586ms−21ms
first ⅓ avg 606ms → last ⅓ avg 586ms
Headshot accuracy13.4%−2.3%
first ⅓ avg 15.7% → last ⅓ avg 13.4%

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

0.07Best match rating · 13–10 · ancient, 10 Sept →
50%Best headshot accuracy · 5–1 · dust2, 30 Sept →
281msFastest reaction time · 2–13 · dust2, 30 Sept →
13–0Biggest win · mirage, 1 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W4Current streak
11–8In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 56% over 16mirageWeakest map · 37% over 19
MapGradePlayedRecordWin rateAvg rating
mirageC197–1237%-0.04
infernoC198–1142%-0.04
dust2B189–950%-0.04
anubisA169–756%-0.03
ancientC104–640%-0.03
cacheB105–550%-0.04
nukeB84–450%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (37% over 19). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,478Lifetime kills
0.90K/D
3,377Matches
45.4%Match win rate · Top 50% of Purple band
35.3%Headshot %
6.8%Shot accuracy
6,436MVPs
1,372Hours (in match)
4,450Bombs planted
925Bombs defused

Most-used weapons

AWP11,165
AK-479,988
P902,322
XM10142,142
AUG2,074
SG 5531,165

Lifetime map wins

6,813dust2
4,331inferno
3,858nuke
1,542vertigo
1,251train
763office
200cbble
66italy

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

Faceit stats

Combat

13Matches
54%Win rate
1.98Avg K/D
93.9ADR
39%Headshot %

Clutches & streaks

18%1v1 clutch win
43%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust2425%1.3722.3
Mirage475%3.6814.3
Nuke250%0.9411.0
Overpass1100%1.1629.0
Inferno1100%1.7017.0
Anubis10%0.7515.0

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.

13.2%Headshot accuracy
29.1%Accuracy (enemy spotted)
26.4%Spray accuracy
60.9%Counter-strafing
10.8°Preaim
557msReaction time
32.1%T opening success
39.4%CT opening success
0.37Enemies flashed / flash
0.8%Flash assists
7.10HE damage / grenade
0.92Flashes / 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 13.192% — 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 0.3745 — below the 0.5 mark we flag

    Grenade Lineups →
  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 32.1277% — below the 40% mark we flag

Spend your practice time on Mirage

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

37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–3-0.084%1 Oct →
dust23–00.0014%1 Oct →
mirage13–2-0.0617%1 Oct →
mirage13–0-0.077%1 Oct →
anubis7–130.019%1 Oct →
nuke16–13-0.077%30 Sept →
inferno5–13-0.077%30 Sept →
mirage7–13-0.074%30 Sept →
ancient13–8-0.037%30 Sept →
ancient4–13-0.1314%30 Sept →
mirage4–13-0.064%30 Sept →
mirage3–13-0.0916%30 Sept →
mirage5–13-0.1022%30 Sept →
inferno13–4-0.0216%30 Sept →
dust22–13-0.1325%30 Sept →
mirage13–4-0.0517%30 Sept →
dust25–1-0.0550%30 Sept →
cache15–15-0.0911%29 Sept →
cache13–30.0020%29 Sept →
inferno4–13-0.1023%29 Sept →
inferno13–11-0.0313%29 Sept →
dust213–5-0.077%29 Sept →
nuke13–11-0.0116%29 Sept →
inferno11–130.0023%29 Sept →
mirage7–13-0.0116%29 Sept →
anubis13–3-0.0411%29 Sept →
dust213–100.0111%29 Sept →
ancient8–13-0.0213%29 Sept →
dust28–13-0.0216%28 Sept →
dust213–1-0.025%28 Sept →
anubis2–1-0.080%28 Sept →
inferno13–10-0.1017%28 Sept →
nuke9–5-0.100%28 Sept →
ancient3–13-0.0316%28 Sept →
ancient7–13-0.0719%28 Sept →
anubis2–13-0.059%28 Sept →
cache4–13-0.0813%27 Sept →
dust28–13-0.0316%27 Sept →
anubis7–13-0.018%27 Sept →
dust213–110.0017%26 Sept →
cache2–13-0.1029%26 Sept →
mirage5–130.0410%26 Sept →
mirage13–110.0215%25 Sept →
mirage9–13-0.074%25 Sept →
inferno9–13-0.0916%25 Sept →
dust27–13-0.068%25 Sept →
anubis13–11-0.0215%25 Sept →
anubis16–14-0.056%25 Sept →
mirage7–13-0.046%24 Sept →
dust26–13-0.0612%23 Sept →
inferno13–11-0.0316%23 Sept →
inferno13–11-0.0311%23 Sept →
cache13–10-0.0310%23 Sept →
nuke9–130.0118%23 Sept →
inferno9–13-0.0811%23 Sept →
mirage8–13-0.106%22 Sept →
inferno11–13-0.0322%22 Sept →
inferno8–130.0115%11 Sept →
dust29–13-0.0214%11 Sept →
anubis9–13-0.056%11 Sept →
ancient13–9-0.0714%11 Sept →
mirage13–11-0.087%11 Sept →
nuke13–9-0.0725%10 Sept →
mirage13–60.0124%10 Sept →
ancient13–100.0710%10 Sept →
anubis9–13-0.0310%10 Sept →
mirage14–16-0.059%10 Sept →
cache11–13-0.0622%9 Sept →
anubis11–13-0.049%9 Sept →
ancient14–16-0.0511%9 Sept →
anubis13–60.0115%9 Sept →
inferno10–130.007%9 Sept →
nuke7–13-0.0716%8 Sept →
inferno10–13-0.0817%7 Sept →
anubis13–40.0114%28 Aug →
dust213–6-0.0811%28 Aug →
anubis13–8-0.0716%28 Aug →
ancient13–100.0315%27 Aug →
mirage13–40.0223%27 Aug →
nuke9–13-0.0311%27 Aug →
cache13–6-0.0213%27 Aug →
anubis9–13-0.0912%27 Aug →
inferno1–13-0.100%27 Aug →
ancient9–13-0.0114%27 Aug →
inferno11–13-0.0722%27 Aug →
dust28–13-0.0616%26 Aug →
inferno13–10-0.0116%26 Aug →
cache13–8-0.0017%26 Aug →
dust20–10-0.0214%26 Aug →
cache11–130.0218%26 Aug →
mirage15–15-0.0523%26 Aug →
nuke6–13-0.0811%26 Aug →
mirage4–13-0.0226%26 Aug →
dust23–13-0.0727%26 Aug →
inferno13–11-0.0417%25 Aug →
dust213–70.056%25 Aug →
inferno13–80.0517%25 Aug →
anubis13–90.0520%25 Aug →
anubis13–40.0130%25 Aug →
cache13–8-0.0411%25 Aug →

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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