Hepp

Hepp — CS2 Stats

PL76561198080509257[U:1:120243529]Steam profile ↗✓ No bans

1,403Tracked matches66%Win rate2020Tracked since
5,170Hours in CS
CSDB Rating6.8 SolidClutch Specialist
Premier CS Rating20,000Top 50% of 203,724 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#80404 of 250971 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (17 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,403 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,000 -2,930 4 Nov – 21 Sept · 36 days played
16,35824,080peak 24,0804 Nov21 Sept
24,376Peak Premier in tracked matches
47Days played since 2025-11-04

Premier CS Rating

  • 4,080 below peak (24,080)
  • Next: Red band at 25,000 — 5,000 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-21
  • Purple band first seen 2026-09-21

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 9 among CSDB-tracked players (n=14,332), 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 9 medianLevel 10 medianvs Level 10
Headshot rate55.0%48.2%50.9%above
Shot accuracy17.3%13.3%13.7%above
Kill/death ratio1.021.071.090.07 short
Match win rate47.0%46.9%48.4%1.4% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGHeppFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER20,000 · Pink 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

Aim76
Positioning56
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY55–42–3Last 10055%Win rateLWLWWWWLWL

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −3.9pp headshot accuracy · −10ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 583ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 577ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 582ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+4 against its own average).

Aim7.6
Utility3.9
Positioning5.6
Opening Duels4.6
Clutch10.0

Strong CT-side openerLimited utility dependenceReliable in 1v1s

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 96% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution; lower positioning 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

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 57% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 584ms 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

Aim7.6
Positioning5.6
Utility3.9
Mechanics8.4
Opening Duels3.9
Win Impact10.0

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time588ms−12ms
first ⅓ avg 600ms → last ⅓ avg 588ms
Headshot accuracy22.3%+3.2%
first ⅓ avg 19.1% → last ⅓ avg 22.3%

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

0.13Best match rating · 13–1 · dust2, 5 May →
71%Best headshot accuracy · 0–5 · inferno, 12 May →
438msFastest reaction time · 13–8 · inferno, 23 Apr →
13–0Biggest win · mirage, 4 May →

Across the last 100 tracked matches.

Highlights

8Longest win streak
7–3In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 65% over 17infernoWeakest map · 53% over 32
MapGradePlayedRecordWin rateAvg rating
infernoB3217–1553%0.01
dust2B3016–1453%0.03
mirageS1711–665%0.02
overpassA127–558%0.04
ancient—42–250%0.03
nuke—32–167%0.03
anubis—20–20%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (53% over 32). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

208,458Lifetime kills
1.02K/D
6,765Matches
47.0%Match win rate · Top 50% of Level 9 players
55.0%Headshot % · Top 25% of Level 9 players
17.3%Shot accuracy · Top 25% of Level 9 players
17,785MVPs
5,170Hours (in match)
8,011Bombs planted
1,899Bombs defused

Most-used weapons

AK-4796,618
AWP12,140
P2504,205
SG 5533,225
Knife2,910

Lifetime map wins

16,260inferno
8,623dust2
2,961nuke
2,332train
1,868cbble
1,075vertigo
102office
102aztec

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

Faceit stats

Combat

2,321Matches
50%Win rate
1.09Avg K/D
87.0ADR
49%Headshot %

Clutches & streaks

75%1v1 clutch win
21%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage7948%1.0816.3
Inferno7063%1.3015.6
Anubis5444%1.0114.8
Overpass5050%1.1716.2
Ancient3650%1.0317.1
Nuke1145%1.0916.9
Dust2617%0.9220.3
Vertigo30%0.589.0

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.

20.9%Headshot accuracy
34.4%Accuracy (enemy spotted)
36.0%Spray accuracy
87.9%Counter-strafing
10.3°Preaim
584msReaction time
34.4%T opening success
56.6%CT opening success
0.57Enemies flashed / flash
14.4%Flash assists
5.54HE damage / grenade
4.06Flashes / 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 34.3623% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
dust211–130.0024%5 Jun →
inferno13–100.0120%5 Jun →
mirage5–13-0.0514%3 Jun →
dust213–90.0621%3 Jun →
overpass13–100.0128%3 Jun →
inferno13–4-0.0225%3 Jun →
inferno13–40.0415%3 Jun →
dust213–16-0.0217%3 Jun →
nuke16–120.0616%2 Jun →
inferno12–16-0.0114%2 Jun →
dust213–40.1020%2 Jun →
inferno13–60.0223%1 Jun →
dust213–30.0524%1 Jun →
mirage13–50.0133%1 Jun →
overpass13–20.1129%1 Jun →
dust213–70.1132%22 May →
dust213–50.0417%22 May →
dust213–70.0323%21 May →
mirage10–13-0.0414%21 May →
ancient9–13-0.0417%21 May →
mirage13–100.0021%21 May →
mirage7–130.0014%20 May →
mirage13–40.0542%20 May →
dust210–130.0621%20 May →
inferno13–80.0413%20 May →
dust213–110.0814%18 May →
mirage9–130.0319%18 May →
dust213–90.0113%17 May →
dust215–150.0023%12 May →
inferno0–5-0.0871%12 May →
inferno3–130.0024%10 May →
dust28–13-0.0119%10 May →
inferno10–130.1115%9 May →
nuke13–30.0623%9 May →
overpass13–100.0625%8 May →
mirage13–110.0413%7 May →
dust24–130.0414%7 May →
overpass2–130.055%7 May →
inferno5–13-0.0312%7 May →
ancient13–60.0711%6 May →
mirage13–100.0812%5 May →
dust213–10.1321%5 May →
mirage13–00.0315%4 May →
overpass15–15-0.0128%3 May →
mirage13–80.1220%1 May →
dust25–130.0317%25 Apr →
overpass2–13-0.0231%25 Apr →
mirage13–110.1022%23 Apr →
anubis9–130.0326%23 Apr →
dust24–13-0.0030%23 Apr →
inferno13–80.0118%23 Apr →
dust213–110.0319%23 Apr →
mirage16–14-0.0116%22 Apr →
dust28–110.0222%21 Apr →
inferno13–00.0233%17 Apr →
dust20–7-0.0622%5 Mar →
inferno13–40.0519%5 Mar →
inferno13–40.0316%5 Mar →
ancient13–30.0324%26 Feb →
inferno8–130.1014%25 Feb →
anubis5–13-0.0456%25 Feb →
inferno7–13-0.069%25 Feb →
inferno13–70.0724%24 Feb →
dust210–130.0617%23 Feb →
ancient10–130.059%20 Feb →
inferno5–13-0.0725%23 Jan →
inferno13–30.0816%18 Jan →
overpass15–150.0617%16 Jan →
dust213–10-0.0012%15 Jan →
inferno13–11-0.0214%3 Jan →
inferno6–13-0.0610%3 Dec →
dust213–70.1026%15 Nov →
mirage13–3-0.0118%15 Nov →
mirage2–13-0.0421%14 Nov →
dust22–13-0.0914%14 Nov →
overpass13–10.0030%14 Nov →
inferno13–9-0.0023%14 Nov →
inferno13–70.0626%13 Nov →
overpass13–80.0721%13 Nov →
inferno13–70.0223%12 Nov →
inferno2–13-0.0321%12 Nov →
inferno13–8-0.0115%12 Nov →
nuke5–13-0.0420%11 Nov →
inferno13–10.0840%11 Nov →
inferno6–13-0.0513%11 Nov →
mirage12–160.0417%11 Nov →
inferno11–13-0.0118%10 Nov →
inferno11–130.0815%10 Nov →
dust213–11-0.0219%10 Nov →
dust213–80.0723%9 Nov →
inferno6–13-0.0112%9 Nov →
inferno9–13-0.0111%7 Nov →
dust210–130.0121%7 Nov →
dust213–50.0917%6 Nov →
dust27–13-0.0720%6 Nov →
overpass13–16-0.0014%6 Nov →
overpass13–80.0620%5 Nov →
overpass13–50.0619%5 Nov →
mirage13–80.0218%4 Nov →
dust213–60.0523%4 Nov →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.