Lauro Hermógenes

Lauro Hermógenes — CS2 Stats

VA76561198169847947[U:1:209582219]Steam profile ↗✓ No bans

552Tracked matches63%Win rate2023Tracked since
802Hours in CS17Hrs last 2 wks
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating12,066Blue band · top ~43.9% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (3 days ago). 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: 12,066 +7,403 13 Jul – 5 Oct · 22 days played
4,66312,066peak 12,06613 Jul5 Oct
12,066Peak Premier in tracked matches
971Highest Faceit ELO seen on CSDB
35Days played since 2026-07-08

Faceit ELO

  • At peak — 971
  • Next: Level 5 at 1,051 — 80 to go
  • Reached: Level 4 · Level 3 · Level 2

Premier CS Rating

  • At peak — 12,066
  • +7,403 over 90 days
  • Next: Purple band at 15,000 — 2,934 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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate51.7%42.0%44.3%above
Shot accuracy3.7%9.6%11.9%8.1% short
Kill/death ratio0.840.981.030.19 short
Match win rate40.0%43.8%45.2%5.2% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGLauro HermógenesPREMIER12,066 · Blue bandPEAK ELO971csdb.gg/stats

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Performance scores

Aim59
Positioning56
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY63–36–1Last 10063%Win rateWWLWWWLWLL

Last 10 vs previous 10: −20pp win rate · −0.05 avg rating · −1.3pp headshot accuracy · −34ms reaction

Win rate down 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 -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 564ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 549ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 565ms

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 (+1.8 against its own average).

Aim5.9
Utility3.6
Positioning5.6
Opening Duels3.7
Clutch2.2

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 88% 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. 580ms 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
Positioning5.6
Utility3.6
Mechanics6.0
Opening Duels3.8
Win Impact9.4

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.00
Reaction time585ms−18ms
first ⅓ avg 604ms → last ⅓ avg 585ms
Headshot accuracy18.3%+2.4%
first ⅓ avg 15.8% → last ⅓ avg 18.3%

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

0.17Best match rating · 13–1 · inferno, 24 Aug →
40%Best headshot accuracy · 4–2 · dust2, 24 Aug →
422msFastest reaction time · 13–7 · mirage, 23 Sept →
13–0Biggest win · dust2, 22 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
5–4In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 90% over 10dust2Weakest map · 38% over 21
MapGradePlayedRecordWin rateAvg rating
dust2C218–1338%0.01
infernoC188–1044%0.02
cacheS1510–567%0.00
anubisS1512–380%0.02
nukeS109–190%0.04
mirageS109–190%0.01
ancientS96–367%0.04
vertigo—21–150%-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,075Lifetime kills
0.84K/D
1,054Matches
40.0%Match win rate
51.7%Headshot % · Top 25% of Blue band
3.7%Shot accuracy
2,598MVPs
536Hours (in match)
769Bombs planted
308Bombs defused

Most-used weapons

Lifetime map wins

1,350inferno
1,261dust2
783nuke
630vertigo
222train
170office
140cbble
39lake

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

Faceit stats

Combat

125Matches
45%Win rate
1.06Avg K/D
81.8ADR
48%Headshot %

Clutches & streaks

31%1v1 clutch win
27%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust22433%0.9613.7
Mirage2348%0.8713.3
Ancient2045%1.1517.8
Anubis1953%1.3120.7
Nuke1533%0.7913.5
Inferno1346%1.2917.8
Cache978%1.3216.6
Overpass20%0.7811.5

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.

17.5%Headshot accuracy
30.4%Accuracy (enemy spotted)
33.8%Spray accuracy
77.1%Counter-strafing
9.8°Preaim
580msReaction time
43.8%T opening success
46.9%CT opening success
0.42Enemies flashed / flash
4.5%Flash assists
6.90HE damage / grenade
4.40Flashes / 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 0.4181 — below the 0.5 mark we flag

    Grenade Lineups →
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.

38% win rate across 21 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
cache13–9-0.0513%6 Oct →
nuke13–11-0.0417%5 Oct →
cache8–13-0.0516%2 Oct →
ancient13–40.0523%30 Sept →
vertigo13–8-0.0020%27 Sept →
dust213–100.0115%26 Sept →
dust27–13-0.0818%23 Sept →
mirage13–7-0.038%23 Sept →
mirage5–13-0.0227%16 Sept →
inferno11–13-0.0516%15 Sept →
dust213–7-0.0322%15 Sept →
nuke13–50.1014%5 Sept →
inferno6–130.0025%5 Sept →
anubis13–6-0.019%5 Sept →
cache13–50.0115%28 Aug →
nuke13–40.0723%28 Aug →
inferno10–130.0318%28 Aug →
ancient13–7-0.0123%26 Aug →
cache13–11-0.0216%26 Aug →
mirage13–20.0722%26 Aug →
anubis13–30.0113%25 Aug →
inferno10–13-0.0422%25 Aug →
cache13–8-0.0623%25 Aug →
cache13–6-0.0419%25 Aug →
dust23–13-0.0621%25 Aug →
cache4–13-0.0611%25 Aug →
inferno14–160.0416%24 Aug →
mirage16–120.0119%24 Aug →
inferno13–11-0.0015%24 Aug →
dust24–13-0.009%24 Aug →
dust24–20.1440%24 Aug →
anubis13–80.0223%24 Aug →
inferno13–10.1712%24 Aug →
anubis13–100.0822%24 Aug →
mirage13–10-0.0320%23 Aug →
mirage13–1-0.0312%23 Aug →
ancient13–100.0613%22 Aug →
dust213–00.1230%22 Aug →
cache7–13-0.0324%22 Aug →
dust215–15-0.0120%19 Aug →
nuke13–60.0225%19 Aug →
anubis7–13-0.068%19 Aug →
inferno13–160.0316%3 Aug →
cache13–10.1116%3 Aug →
dust214–16-0.0515%2 Aug →
nuke13–80.0221%2 Aug →
ancient13–50.0822%2 Aug →
inferno13–70.0912%2 Aug →
dust26–13-0.0320%2 Aug →
dust213–40.078%31 Jul →
inferno13–30.0815%31 Jul →
dust213–90.0325%31 Jul →
dust216–140.0419%29 Jul →
dust22–13-0.0525%29 Jul →
inferno13–40.0722%28 Jul →
dust29–130.0721%28 Jul →
nuke13–100.0226%27 Jul →
inferno9–13-0.0419%27 Jul →
anubis13–30.0311%22 Jul →
anubis13–2-0.0217%22 Jul →
inferno9–13-0.0614%22 Jul →
ancient7–130.0014%21 Jul →
nuke8–130.0310%21 Jul →
inferno13–3-0.0113%21 Jul →
mirage13–50.0014%19 Jul →
inferno6–130.1013%19 Jul →
cache13–2-0.0110%19 Jul →
dust213–7-0.0218%19 Jul →
anubis13–30.0116%19 Jul →
mirage13–100.0310%19 Jul →
inferno13–10-0.0111%18 Jul →
anubis13–20.0419%18 Jul →
dust213–70.028%18 Jul →
anubis13–16-0.0117%18 Jul →
ancient13–160.0312%17 Jul →
inferno9–13-0.0315%17 Jul →
cache13–40.0517%17 Jul →
anubis13–20.0910%16 Jul →
ancient13–40.0218%16 Jul →
dust210–13-0.0313%14 Jul →
vertigo3–9-0.009%14 Jul →
mirage13–70.0311%14 Jul →
nuke13–60.0621%13 Jul →
cache7–130.0320%13 Jul →
nuke13–50.0418%13 Jul →
anubis13–11-0.055%13 Jul →
dust28–130.0424%13 Jul →
cache13–7-0.0121%13 Jul →
mirage13–70.0620%13 Jul →
ancient4–130.0414%12 Jul →
anubis13–50.0219%12 Jul →
cache13–10.1625%12 Jul →
dust27–130.0125%12 Jul →
nuke13–70.0212%11 Jul →
ancient13–80.0716%11 Jul →
inferno13–1-0.0016%11 Jul →
dust210–130.0428%11 Jul →
cache13–16-0.0310%11 Jul →
anubis9–130.0215%9 Jul →
anubis13–10.129%8 Jul →

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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