herbi

herbi — CS2 Stats

76561198426361035[U:1:466095307]Steam profile ↗✓ No bans

769Tracked matches48%Win rate2020Tracked since
2,330Hours in CS3Hrs last 2 wks
CSDB Rating5.3 DevelopingPositional Player
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 16,200 -346 26 Aug – 21 Sept · 4 days played
16,20016,546peak 16,54626 Aug21 Sept
16,546Peak Premier in tracked matches
49Days played since 2025-08-07

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 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate39.0%44.8%45.7%6.7% short
Shot accuracy17.8%12.4%12.7%above
Kill/death ratio1.001.031.050.05 short
Match win rate44.6%45.2%45.7%1.1% short

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGherbiFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim69
Positioning55
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY46–47–7Last 10046%Win rateLWWLWLLWWW

Last 10 vs previous 10: +30pp win rate · +0.05 avg rating · +0.9pp headshot accuracy · +40ms reaction

Win rate up 30pp 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 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 570ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 19%
  • Avg reaction 575ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 555ms

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 (+2.4 against its own average).

Aim6.9
Utility3.7
Positioning5.5
Opening Duels3.4
Clutch0.0

Strong T-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

m0NESY

Plays most like m0NESY 93% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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.

CT openings. Opening success drops from 54% on T to 36% on CT — first contacts on the defending side are being lost.

Reaction time. 596ms 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

Aim6.9
Positioning5.5
Utility3.7
Mechanics5.3
Opening Duels3.7
Win Impact4.4

Composite 5.3/10 (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 rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time598ms−40ms
first ⅓ avg 637ms → last ⅓ avg 598ms
Headshot accuracy19.5%+2.7%
first ⅓ avg 16.8% → last ⅓ avg 19.5%

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 · 13–5 · cache, 28 Oct →
42%Best headshot accuracy · 6–13 · dust2, 5 Mar →
406msFastest reaction time · 0–13 · anubis, 3 Sept →
13–0Biggest win · inferno, 28 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

dust2Best map · 60% over 10ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageD186–1233%-0.01
nukeB137–654%-0.01
cacheB105–550%0.02
dust2A106–460%0.02
overpassB105–550%-0.01
anubisC94–544%-0.03
infernoA74–357%0.01
ancientD51–420%-0.01
train—41–325%0.03
stronghold—31–233%-0.02
vertigo—32–167%0.05
alpine—21–150%-0.01
boulder—11–0100%0.09
warden—10–10%0.04
office—11–0100%0.12
italy—10–10%-0.03
palacio—10–10%-0.02
golden—11–0100%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

67,039Lifetime kills
1.00K/D
3,582Matches
44.6%Match win rate
39.0%Headshot %
17.8%Shot accuracy · Top 25% of Level 6 players
8,016MVPs
1,324Hours (in match)
4,486Bombs planted
880Bombs defused

Most-used weapons

Lifetime map wins

4,602nuke
3,810inferno
2,002vertigo
1,910train
1,784dust2
465cbble
426office
337lake

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

Faceit stats

Combat

131Matches
54%Win rate
1.19Avg K/D
71.7ADR
44%Headshot %

Clutches & streaks

0%1v1 clutch win
17%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage4745%1.1115.8
Anubis2357%1.1715.4
Inferno1759%1.1813.8
Nuke1553%1.2618.9
Ancient1283%1.3521.2
Overpass757%1.1615.9
Vertigo540%1.5820.6
Dust21100%1.5628.0

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.

19.3%Headshot accuracy
36.9%Accuracy (enemy spotted)
38.3%Spray accuracy
73.7%Counter-strafing
10.2°Preaim
596msReaction time
54.1%T opening success
35.7%CT opening success
0.47Enemies flashed / flash
2.9%Flash assists
7.28HE damage / grenade
2.37Flashes / 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 0.4681 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 35.7185% — below the 40% mark we flag

Spend your practice time on Ancient

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache7–130.0516%28 Oct →
inferno13–00.0029%28 Oct →
cache13–50.1721%28 Oct →
dust23–13-0.0422%27 Oct →
nuke13–110.0317%27 Oct →
mirage4–13-0.039%9 Oct →
cache7–13-0.0323%9 Oct →
dust27–10.1228%9 Oct →
boulder13–10.099%7 Oct →
inferno13–80.0717%7 Oct →
mirage13–90.0317%6 Oct →
cache13–60.0441%6 Oct →
ancient3–13-0.0213%3 Sept →
anubis0–13-0.085%3 Sept →
overpass4–13-0.0321%31 Aug →
inferno9–130.0125%25 Aug →
ancient7–13-0.0513%23 Aug →
mirage12–12-0.0213%23 Aug →
nuke9–130.0614%23 Aug →
mirage13–20.0421%19 Aug →
nuke13–90.1218%15 Aug →
mirage4–13-0.008%27 Jul →
overpass13–90.0124%2 Jun →
nuke13–11-0.038%2 Jun →
cache1–13-0.1040%2 Jun →
cache8–130.0522%14 May →
warden3–130.0429%14 May →
cache13–90.0327%14 May →
stronghold6–13-0.0018%14 May →
cache13–80.0620%14 May →
office13–90.1226%14 May →
cache13–8-0.0111%29 Apr →
cache4–13-0.0118%29 Apr →
nuke10–13-0.1010%28 Apr →
mirage13–7-0.039%28 Apr →
train12–120.0115%27 Apr →
nuke13–10-0.0315%21 Apr →
stronghold9–13-0.019%10 Apr →
overpass11–6-0.0018%10 Apr →
alpine10–13-0.0214%10 Apr →
train12–120.0214%10 Apr →
mirage9–13-0.0421%23 Mar →
dust213–50.0817%23 Mar →
mirage3–13-0.034%16 Mar →
dust27–130.0414%16 Mar →
dust26–13-0.0142%5 Mar →
ancient13–00.0115%17 Feb →
mirage13–90.0611%17 Feb →
anubis4–13-0.0814%16 Feb →
inferno13–70.0212%16 Feb →
mirage12–120.0210%30 Jan →
mirage0–10-0.0215%30 Jan →
alpine13–11-0.0115%30 Jan →
stronghold13–5-0.0319%30 Jan →
inferno9–13-0.054%28 Jan →
mirage10–13-0.0526%7 Jan →
ancient10–130.0124%5 Jan →
inferno5–130.0111%5 Jan →
anubis13–70.0228%4 Jan →
vertigo13–50.0328%4 Jan →
mirage12–12-0.1018%4 Jan →
anubis8–13-0.117%30 Dec →
ancient12–120.0015%29 Dec →
inferno13–70.0114%29 Dec →
overpass13–11-0.0111%29 Dec →
vertigo5–130.0623%12 Dec →
italy2–13-0.0324%12 Dec →
mirage13–60.0519%12 Dec →
anubis13–40.0319%12 Dec →
nuke13–80.0220%10 Dec →
overpass5–13-0.0116%10 Dec →
palacio12–12-0.0223%10 Oct →
golden13–5-0.0117%10 Oct →
anubis5–13-0.0310%1 Oct →
dust213–8-0.036%1 Oct →
nuke13–10-0.0420%30 Sept →
vertigo13–90.0715%30 Sept →
anubis7–130.0316%26 Sept →
nuke9–13-0.0416%25 Sept →
train13–50.1419%25 Sept →
dust213–9-0.0315%24 Sept →
mirage13–80.0719%24 Sept →
overpass13–100.0211%22 Sept →
mirage11–13-0.019%22 Sept →
overpass11–13-0.0121%21 Sept →
dust25–13-0.0316%21 Sept →
anubis13–7-0.0219%18 Sept →
overpass11–13-0.0018%18 Sept →
mirage9–13-0.0626%18 Sept →
anubis13–90.0118%10 Sept →
nuke4–13-0.0415%8 Sept →
mirage14–160.0117%28 Aug →
nuke13–11-0.0113%26 Aug →
dust213–50.0110%20 Aug →
nuke5–13-0.0815%20 Aug →
overpass13–11-0.0221%20 Aug →
nuke11–130.0221%19 Aug →
train10–13-0.0416%19 Aug →
overpass9–13-0.0315%7 Aug →
dust213–100.0924%7 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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