ហេMMoll

ហេMMoll — CS2 Stats

EE76561198217803632[U:1:257537904]Steam profile ↗✓ No bans

2,099Tracked matches62%Win rate2021Tracked since
CSDB Rating6.7 SolidPositional Player
Premier CS Rating26,037Top 10% of 209,427 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)
CSDB Leaderboard#12972 of 256816 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Oct 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,099 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 26,037 +1,038 23 Jul – 18 Oct · 17 days played
24,70026,037peak 26,03723 Jul18 Oct
26,037Peak Premier in tracked matches
26Days played since 2026-07-23

Premier CS Rating

  • At peak — 26,037
  • 0 over 30 days · steady
  • +1,038 over 90 days
  • Next: Gold band at 30,000 — 3,963 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.

Share this profile

CSDB.GGហេMMollFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER26,037 · Red bandcsdb.gg/stats

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Performance scores

Aim81
Positioning57
Utility32

0–100 skill scores via Leetify.

Recent form

HOT54–42–4Last 10054%Win rateLWWWLWWLWW

Last 10 vs previous 10: +40pp win rate · +0.05 avg rating · +2.9pp headshot accuracy · −52ms reaction

Win rate up 40pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 522ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 517ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 543ms

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 (+2.2 against its own average).

Aim8.1
Utility3.2
Positioning5.7
Opening Duels3.0
Clutch2.2

Strong CT-side openerLimited 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

ropz

Plays most like ropz 89% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; 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 54% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 562ms 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

Aim8.1
Positioning5.7
Utility3.2
Mechanics7.8
Opening Duels3.0
Win Impact9.0

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 rating-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time552ms−54ms
first ⅓ avg 605ms → last ⅓ avg 552ms
Headshot accuracy17.2%+1.2%
first ⅓ avg 16.0% → last ⅓ avg 17.2%

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 · 13–7 · mirage, 24 Jul →
47%Best headshot accuracy · 3–12 · inferno, 3 Aug →
352msFastest reaction time · 4–13 · dust2, 5 Sept →
13–1Biggest win · inferno, 1 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
4–9In matches decided by ≤2 rounds
3Overtime games

Map breakdown

anubisBest map · 80% over 5dust2Weakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
nukeS1712–571%0.01
vertigoA169–756%-0.02
infernoD144–1029%-0.03
cacheB137–654%-0.01
ancientA116–555%0.01
mirageA106–460%0.01
dust2D61–517%-0.03
anubisS54–180%-0.02
train—32–167%0.01
office—31–233%-0.03
fachwerk—11–0100%0.01
shelter—11–0100%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

18Matches
78%Win rate
1.17Avg K/D
97.2ADR
52%Headshot %

Clutches & streaks

31%1v1 clutch win
43%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Nuke450%1.2414.8
Ancient3100%1.4120.3
Mirage3100%1.1917.7
Cache250%1.4818.5
Dust22100%1.3627.5
Inferno1100%1.3619.0

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.

17.5%Headshot accuracy
36.9%Accuracy (enemy spotted)
39.1%Spray accuracy
85.2%Counter-strafing
8.8°Preaim
562msReaction time
27.4%T opening success
54.1%CT opening success
0.44Enemies flashed / flash
2.1%Flash assists
8.45HE damage / grenade
4.76Flashes / 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 0.4409 — 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 27.4314% — below the 40% mark we flag

Spend your practice time on Dust 2

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke3–13-0.0519%11 Oct →
cache13–70.0429%5 Sept →
fachwerk13–40.0113%5 Sept →
mirage13–9-0.0118%5 Sept →
dust24–13-0.0918%5 Sept →
nuke13–60.0423%5 Sept →
nuke13–110.0414%5 Sept →
inferno8–13-0.0518%5 Sept →
anubis13–8-0.0311%5 Sept →
vertigo13–7-0.0522%5 Sept →
mirage4–13-0.0829%5 Sept →
inferno2–13-0.0819%4 Sept →
anubis13–80.0119%4 Sept →
vertigo12–12-0.0512%4 Sept →
inferno0–9-0.310%30 Aug →
cache6–13-0.0723%29 Aug →
ancient13–70.0111%29 Aug →
inferno10–13-0.0513%29 Aug →
anubis13–10-0.0519%29 Aug →
dust210–13-0.0412%29 Aug →
inferno9–13-0.0917%29 Aug →
cache11–13-0.052%29 Aug →
nuke13–80.0528%18 Aug →
ancient13–9-0.0213%18 Aug →
mirage13–90.0516%17 Aug →
ancient13–90.0714%17 Aug →
cache16–120.0429%16 Aug →
ancient6–13-0.0123%14 Aug →
nuke13–70.1216%14 Aug →
anubis13–90.0011%14 Aug →
nuke13–40.0719%14 Aug →
vertigo11–13-0.0317%13 Aug →
dust212–12-0.0619%13 Aug →
nuke6–13-0.0220%13 Aug →
ancient13–30.0621%13 Aug →
dust213–100.0511%13 Aug →
cache13–8-0.0112%13 Aug →
cache3–13-0.0710%13 Aug →
ancient13–50.0211%12 Aug →
mirage10–13-0.025%12 Aug →
cache13–4-0.0018%12 Aug →
train13–50.0320%12 Aug →
inferno8–130.0518%12 Aug →
train3–130.0218%12 Aug →
ancient15–150.0611%11 Aug →
anubis10–13-0.0414%11 Aug →
dust26–13-0.0320%11 Aug →
cache11–130.0813%11 Aug →
vertigo13–90.0526%10 Aug →
cache13–9-0.0217%10 Aug →
inferno13–70.0117%10 Aug →
nuke0–7-0.0627%9 Aug →
vertigo13–60.0010%9 Aug →
cache11–13-0.0125%5 Aug →
vertigo11–13-0.0428%4 Aug →
inferno11–13-0.067%4 Aug →
inferno3–10.0722%4 Aug →
inferno11–13-0.0021%4 Aug →
inferno3–120.0347%3 Aug →
shelter13–50.0119%3 Aug →
ancient6–13-0.0811%3 Aug →
vertigo10–13-0.1119%2 Aug →
nuke13–9-0.0625%2 Aug →
vertigo11–13-0.0315%2 Aug →
inferno13–70.0220%2 Aug →
cache13–7-0.0118%1 Aug →
nuke13–60.0212%1 Aug →
vertigo13–60.0125%1 Aug →
inferno13–10.0326%1 Aug →
vertigo13–110.0212%1 Aug →
office10–130.0113%1 Aug →
nuke9–130.0018%31 Jul →
office4–13-0.0120%31 Jul →
nuke13–9-0.0814%31 Jul →
vertigo7–13-0.0515%30 Jul →
vertigo13–6-0.0224%29 Jul →
vertigo13–1-0.0217%29 Jul →
ancient5–130.0513%28 Jul →
vertigo13–90.0510%28 Jul →
nuke13–50.0823%28 Jul →
cache11–13-0.0315%25 Jul →
vertigo1–5-0.050%25 Jul →
office13–4-0.1020%25 Jul →
mirage13–70.0219%24 Jul →
nuke13–70.049%24 Jul →
nuke13–40.0117%24 Jul →
train13–4-0.0116%24 Jul →
vertigo13–90.0019%24 Jul →
mirage13–70.1417%24 Jul →
nuke13–40.0413%24 Jul →
mirage15–15-0.0113%24 Jul →
dust210–130.0127%24 Jul →
mirage9–5-0.0214%24 Jul →
nuke6–13-0.0615%24 Jul →
mirage13–11-0.0311%23 Jul →
mirage4–130.0220%23 Jul →
ancient13–50.0216%23 Jul →
cache13–8-0.0412%23 Jul →
inferno5–13-0.0413%23 Jul →
ancient7–13-0.0415%23 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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