H4N$![GER]

H4N$![GER] — CS2 Stats

DE76561197995387242[U:1:35121514]Steam profile ↗✓ No bans

4,010Tracked matches61%Win rate2020Tracked since
CSDB Rating2.6 LearningPositional Player
Premier CS Rating3,415Grey band · top ~85.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−115Premier CS Rating · 3,530 → 3,415

Rating over time

Premier CS Rating: 3,415 +438 30 Aug – 7 Oct · 15 days played
1,6583,722peak 3,72230 Aug7 Oct
3,890Peak Premier in tracked matches
15Days played since 2026-08-30

Premier CS Rating

  • 307 below peak (3,722)
  • +185 over 30 days · steady
  • Next: Light Blue band at 5,000 — 1,585 to go

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

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CSDB.GGH4N$![GER]PREMIER3,415 · Grey bandcsdb.gg/stats

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Performance scores

Aim17
Positioning48
Utility13

0–100 skill scores via Leetify.

Recent form

COLD37–58–5Last 10037%Win rateWLLTLLWLLW

Last 10 vs previous 10: −50pp win rate · −0.01 avg rating · −0.1pp headshot accuracy · −56ms reaction

Win rate down 50pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 583ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 570ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 598ms

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 (+2.1 against its own average).

Aim1.7
Utility1.3
Positioning4.8
Opening Duels2.0

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

donk

Plays most like donk 68% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 589ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 52% 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

Aim1.7
Positioning4.8
Utility1.3
Mechanics0.4
Opening Duels3.5
Win Impact8.6

Composite 2.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time590ms−48ms
first ⅓ avg 638ms → last ⅓ avg 590ms
Headshot accuracy11.1%−2.2%
first ⅓ avg 13.2% → last ⅓ avg 11.1%

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

0.09Best match rating · 13–8 · ancient, 3 Oct →
25%Best headshot accuracy · 3–13 · office, 3 Oct →
422msFastest reaction time · 13–2 · office, 7 Oct →
13–2Biggest win · office, 7 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
3–2In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 54% over 13mirageWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
officeC218–1338%-0.02
dust2D196–1332%-0.01
ancientB137–654%-0.01
mirageD123–925%-0.03
nukeD113–827%-0.01
infernoC104–640%-0.02
cache—32–167%-0.04
anubis—32–167%-0.02
overpass—31–233%-0.02
vertigo—20–20%-0.02
boulder—10–10%-0.07
fachwerk—11–0100%-0.03
italy—10–10%-0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 12). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

13Matches
46%Win rate
0.66Avg K/D
—ADR
35%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWLL

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.

11.2%Headshot accuracy
29.5%Accuracy (enemy spotted)
33.6%Spray accuracy
51.9%Counter-strafing
14.4°Preaim
589msReaction time
43.7%T opening success
43.9%CT opening success
0.06Enemies flashed / flash
0.0%Flash assists
15.42HE damage / grenade
0.13Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 14.4311° — above the 12° mark we flag

    Aim Training →
  2. 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 11.1994% — below the 15% mark we flag

    Aim Training →
  3. 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 0.0594 — below the 0.5 mark we flag

    Grenade Lineups →
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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
office13–20.0211%7 Oct →
dust22–13-0.085%7 Oct →
nuke10–13-0.0511%7 Oct →
office12–12-0.037%6 Oct →
dust29–13-0.0115%6 Oct →
inferno7–13-0.0620%6 Oct →
mirage13–50.0315%6 Oct →
ancient11–13-0.029%6 Oct →
ancient10–130.0310%6 Oct →
office13–100.0210%6 Oct →
office13–60.029%6 Oct →
cache13–80.017%6 Oct →
inferno13–10-0.0212%6 Oct →
ancient13–9-0.0112%6 Oct →
cache13–7-0.0610%6 Oct →
mirage15–15-0.007%6 Oct →
anubis16–13-0.0314%6 Oct →
dust29–130.0115%5 Oct →
nuke13–9-0.019%5 Oct →
dust213–10-0.0117%5 Oct →
office8–13-0.016%5 Oct →
nuke13–90.0612%5 Oct →
office13–80.0413%5 Oct →
ancient13–11-0.0715%4 Oct →
office13–70.0024%4 Oct →
ancient3–13-0.0616%4 Oct →
mirage7–13-0.038%4 Oct →
ancient13–8-0.058%4 Oct →
nuke13–50.022%4 Oct →
overpass6–13-0.088%4 Oct →
office7–13-0.049%3 Oct →
inferno8–130.0316%3 Oct →
overpass13–10-0.016%3 Oct →
office3–13-0.0625%3 Oct →
mirage13–11-0.0511%3 Oct →
ancient13–80.0917%3 Oct →
inferno13–9-0.0216%3 Oct →
mirage5–13-0.037%2 Oct →
office7–13-0.067%2 Oct →
office6–13-0.0824%2 Oct →
overpass12–120.0211%2 Oct →
dust216–12-0.109%2 Oct →
mirage6–13-0.0319%1 Oct →
mirage6–13-0.0513%1 Oct →
inferno7–130.0411%1 Oct →
nuke11–13-0.055%1 Oct →
office13–9-0.0220%1 Oct →
cache6–13-0.0711%1 Oct →
ancient6–13-0.055%30 Sept →
dust23–13-0.0510%30 Sept →
dust213–6-0.048%30 Sept →
inferno13–10-0.0110%30 Sept →
vertigo9–13-0.0811%29 Sept →
vertigo12–120.0310%29 Sept →
office4–13-0.087%28 Sept →
office5–13-0.0117%28 Sept →
inferno3–9-0.058%28 Sept →
dust25–13-0.037%27 Sept →
dust25–13-0.034%27 Sept →
nuke7–13-0.066%27 Sept →
nuke9–13-0.014%27 Sept →
boulder6–13-0.0710%27 Sept →
office6–130.0011%27 Sept →
dust212–120.0112%27 Sept →
office8–13-0.0021%26 Sept →
inferno8–13-0.027%26 Sept →
ancient13–40.036%26 Sept →
ancient13–5-0.049%26 Sept →
fachwerk13–4-0.036%26 Sept →
dust213–9-0.0015%25 Sept →
ancient10–13-0.019%25 Sept →
mirage9–13-0.0011%25 Sept →
dust210–130.0314%25 Sept →
nuke8–13-0.0312%25 Sept →
nuke9–130.0312%25 Sept →
italy7–13-0.009%25 Sept →
office13–7-0.0816%25 Sept →
office9–13-0.0118%25 Sept →
mirage7–13-0.0420%25 Sept →
dust28–13-0.0612%25 Sept →
ancient13–90.008%25 Sept →
dust26–130.0510%25 Sept →
inferno13–8-0.0412%25 Sept →
anubis13–11-0.0412%24 Sept →
mirage9–13-0.066%24 Sept →
nuke6–13-0.036%24 Sept →
mirage2–13-0.049%24 Sept →
office13–10-0.0424%24 Sept →
office6–13-0.0424%24 Sept →
mirage13–7-0.038%24 Sept →
dust212–160.0116%24 Sept →
dust213–3-0.0010%24 Sept →
dust24–13-0.0116%24 Sept →
inferno8–13-0.0413%24 Sept →
dust26–13-0.0217%24 Sept →
nuke5–13-0.027%24 Sept →
ancient6–130.0016%23 Sept →
dust213–50.0814%23 Sept →
office4–13-0.0425%23 Sept →
anubis6–130.0219%23 Sept →

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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