H4N$![GER]

H4N$![GER] — CS2 Stats

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

3,643Tracked matches48%Win rate2020Tracked since
CSDB Rating2.1 Learning
Premier CS Rating2,977Grey band · top ~87.4% of ranked players (population est.)
CSDB Leaderboard#27793 of 35580 tracked
WingmanMaster Guardian II
Ladder ranks via Leetify

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CSDB.GGH4N$![GER]PREMIER2,977 · Grey bandcsdb.gg/stats

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Performance scores

Aim11
Positioning48
Utility18

0–100 skill scores via Leetify.

Recent form

STEADY41545Last 10041%Win rateTWLWLWWLWL

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

Aim1.1
Aggression3.8
Utility1.8
Positioning4.8
Opening Duels0.7

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 67% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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. 663ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 56% 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

Aim1.1
Positioning4.8
Utility1.8
Mechanics1.3
Opening Duels0.9
Win Impact4.4

Composite 2.1/10 (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-0.03−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time668ms+89ms
first ⅓ avg 579ms → last ⅓ avg 668ms
Headshot accuracy10.1%−1.1%
first ⅓ avg 11.2% → last ⅓ avg 10.1%

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.

Highlights

0.13Best rating — office 6–1
130Biggest win — cache
4Longest win streak
46In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 60% over 15ancientWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
dust2D1641225%-0.03
infernoA159660%-0.01
officeB158753%-0.02
ancientD1331023%-0.03
nukeC125742%-0.01
cacheC114736%-0.04
anubisC94544%-0.03
train31233%-0.07
overpass31233%-0.04
mirage220100%0.03
fachwerk1010%-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Ancient 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.

10.4%Headshot accuracy
27.7%Accuracy (enemy spotted)
31.7%Spray accuracy
55.8%Counter-strafing
14.7°Preaim
663msReaction time
28.1%T opening success
37.3%CT opening success
0.23Enemies flashed / flash
2.4%Flash assists
17.81HE damage / grenade
0.33Flashes / 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 14.7459° — 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 10.3942% — 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 0.2282 — below the 0.5 mark we flag

    Grenade Lineups
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.

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust215–150.059%29 Aug
cache13–4-0.0214%29 Aug
dust23–13-0.0711%29 Aug
nuke13–9-0.0413%29 Aug
ancient8–13-0.0210%29 Aug
inferno13–30.039%29 Aug
cache13–10-0.057%29 Aug
dust28–13-0.068%29 Aug
inferno13–4-0.050%29 Aug
nuke9–130.0311%29 Aug
anubis13–5-0.0312%29 Aug
dust213–80.0212%29 Aug
nuke7–130.0110%28 Aug
nuke13–110.0214%28 Aug
cache15–15-0.0212%28 Aug
ancient10–13-0.019%27 Aug
inferno13–50.028%27 Aug
dust213–9-0.035%27 Aug
cache4–13-0.108%27 Aug
cache4–13-0.064%26 Aug
office7–130.0023%26 Aug
train13–7-0.1210%26 Aug
cache13–00.0116%26 Aug
cache1–13-0.0815%26 Aug
cache8–13-0.0514%26 Aug
dust210–13-0.068%26 Aug
cache14–16-0.0516%25 Aug
dust29–13-0.037%25 Aug
dust215–15-0.006%25 Aug
dust213–100.0113%25 Aug
inferno13–10-0.089%25 Aug
ancient13–3-0.045%25 Aug
anubis8–13-0.087%24 Aug
dust27–130.0119%24 Aug
office11–110.0012%24 Aug
inferno13–4-0.026%22 Aug
cache9–13-0.0613%22 Aug
anubis13–7-0.0414%22 Aug
inferno13–9-0.036%22 Aug
inferno7–13-0.0014%22 Aug
ancient10–13-0.046%22 Aug
dust213–9-0.0321%22 Aug
nuke13–10-0.0117%21 Aug
anubis14–160.0116%21 Aug
ancient13–70.0110%21 Aug
nuke2–13-0.038%21 Aug
inferno10–130.068%21 Aug
inferno6–13-0.0716%21 Aug
ancient5–13-0.0411%21 Aug
anubis4–13-0.0417%21 Aug
dust27–13-0.0513%21 Aug
office11–13-0.067%21 Aug
office13–7-0.038%21 Aug
office9–13-0.117%20 Aug
nuke15–15-0.0114%20 Aug
anubis13–50.045%20 Aug
inferno9–13-0.0814%20 Aug
nuke9–1-0.0322%20 Aug
inferno6–13-0.050%19 Aug
office13–5-0.044%19 Aug
ancient6–13-0.046%19 Aug
office13–9-0.043%19 Aug
mirage13–90.0611%19 Aug
overpass3–13-0.0714%19 Aug
ancient9–13-0.078%18 Aug
overpass13–5-0.030%18 Aug
dust29–13-0.0410%18 Aug
office10–13-0.0512%18 Aug
nuke13–10-0.0312%18 Aug
nuke9–13-0.027%18 Aug
anubis5–13-0.0614%18 Aug
anubis13–110.0111%18 Aug
ancient15–150.056%17 Aug
nuke10–13-0.0410%17 Aug
dust210–13-0.0811%17 Aug
inferno6–130.0113%17 Aug
ancient7–13-0.0115%17 Aug
overpass4–13-0.0210%17 Aug
ancient16–13-0.075%17 Aug
office13–10.0414%17 Aug
mirage13–4-0.012%17 Aug
inferno13–80.065%17 Aug
office5–13-0.0413%17 Aug
train6–13-0.024%16 Aug
train8–13-0.068%16 Aug
office11–130.0513%16 Aug
office13–10.0213%16 Aug
fachwerk3–13-0.0621%16 Aug
office13–11-0.0313%16 Aug
office10–13-0.0718%16 Aug
office6–10.1318%16 Aug
nuke7–13-0.006%15 Aug
cache7–10.0111%15 Aug
inferno13–5-0.0013%15 Aug
dust211–13-0.0118%15 Aug
dust210–13-0.057%15 Aug
ancient10–13-0.0714%15 Aug
inferno13–90.0512%15 Aug
anubis11–13-0.0711%15 Aug
ancient13–160.019%15 Aug

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 →