_HeZoG_ — CS2 Stats

76561199275513214[U:1:1315247486]

538Tracked matches55%Win rate2022Tracked since
475Hours in CS
CSDB Rating4.0 Developing
Premier CS Rating24,284Top 50% of 819 CSDB-tracked playersPink band · top ~3.8% of ranked players (population est.)
CSDB Leaderboard#1444 of 6972 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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 playerPink band median
Headshot rate44.7%48.1%
Shot accuracy3.5%12.9%
Kill/death ratio0.931.08
Match win rate49.4%46.5%

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CSDB.GG_HeZoG_PREMIER24,284 · Pink bandcsdb.gg/stats

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Performance scores

Aim35
Positioning35
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY50455Last 10050%Win rateLWLWWWLLWW

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

Aim3.5
Aggression2.1
Utility4.1
Positioning3.5
Opening Duels0.0
Clutch0.0

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 69% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; 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. 658ms 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

Aim3.5
Positioning3.5
Utility4.1
Mechanics6.0
Opening Duels0.2
Win Impact6.7

Composite 4.0/10 (Developing), 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 rating-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time646ms+2ms
first ⅓ avg 644ms → last ⅓ avg 646ms
Headshot accuracy15.0%+2.0%
first ⅓ avg 13.0% → last ⅓ avg 15.0%

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

0.12Best rating — anubis 13–8
133Biggest win — ancient
5Longest win streak
67In matches decided by ≤2 rounds
3Overtime games

Map breakdown

overpassBest map · 80% over 5nukeWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
ancientC2191243%-0.04
dust2B158753%-0.01
mirageC146843%-0.02
anubisB136746%-0.02
infernoA117464%-0.04
trainB84450%-0.02
nukeD62433%-0.03
overpassS54180%-0.01
cache41325%-0.05
grail110100%0.01
jura110100%0.01
vertigo110100%-0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,247Lifetime kills
0.93K/D
753Matches
49.4%Match win rate · Top 25% of Pink band
44.7%Headshot %
3.5%Shot accuracy
1,469MVPs
475Hours (in match)
811Bombs planted
232Bombs defused

Most-used weapons

Lifetime map wins

1,834dust2
991inferno
568nuke
561vertigo
274train
74office
3ar_baggage
2ar_shoots

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

Faceit stats

Combat

27Matches
44%Win rate
0.85Avg K/D
39.9ADR
43%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis757%1.1614.6
Mirage475%0.9615.0
Inferno333%0.8519.0
Nuke30%1.3321.7
Dust2250%0.162.5
Cache10%0.406.0

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.

15.9%Headshot accuracy
26.7%Accuracy (enemy spotted)
26.4%Spray accuracy
77.0%Counter-strafing
10.4°Preaim
658msReaction time
19.9%T opening success
31.3%CT opening success
0.52Enemies flashed / flash
4.4%Flash assists
7.75HE damage / grenade
5.02Flashes / 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 19.8674% — below the 40% mark we flag

Spend your practice time on Nuke

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
cache4–13-0.098%8 Jul
dust213–9-0.0914%8 Jul
anubis6–130.0016%1 Jul
mirage13–8-0.0625%1 Jul
anubis16–13-0.034%27 Jun
dust213–9-0.0615%25 Jun
ancient0–4-0.060%25 Jun
overpass7–13-0.0025%24 Jun
ancient13–4-0.008%3 Jun
inferno13–10-0.0932%3 Jun
overpass13–50.0329%3 Jun
ancient9–13-0.0515%13 May
ancient13–30.0213%13 May
overpass13–11-0.0222%13 May
cache10–13-0.0921%6 May
cache11–13-0.0717%6 May
ancient13–9-0.0523%6 May
cache13–100.0422%29 Apr
anubis13–7-0.067%15 Apr
inferno13–7-0.024%11 Feb
dust213–3-0.0215%11 Feb
ancient8–13-0.0214%11 Feb
mirage12–120.0026%30 Oct
dust24–00.0714%30 Oct
inferno5–5-0.039%30 Oct
ancient6–13-0.068%24 Oct
dust25–13-0.0215%24 Oct
nuke5–13-0.0711%5 Oct
ancient6–13-0.049%5 Oct
dust211–13-0.0313%15 Sept
train9–130.0119%18 Jul
overpass13–4-0.0210%18 Jul
overpass13–6-0.0512%18 Jul
dust210–130.0016%16 Jul
dust213–90.0113%14 Jul
mirage13–50.1125%14 Jul
anubis11–13-0.0218%6 Jul
mirage13–9-0.0418%6 Jul
inferno7–13-0.1020%6 Jul
nuke13–30.0114%6 Jul
inferno2–13-0.0721%5 Jul
anubis3–13-0.059%4 Jul
train7–13-0.0911%27 Jun
train13–5-0.049%26 Jun
dust27–130.0122%26 Jun
anubis13–11-0.0223%25 Jun
mirage11–13-0.0034%25 Jun
mirage13–40.0516%25 Jun
dust213–5-0.0513%25 Jun
nuke1–13-0.104%24 Jun
nuke13–50.0315%23 Jun
ancient13–80.0113%23 Jun
inferno8–13-0.056%16 Jun
dust213–60.0315%16 Jun
anubis13–7-0.053%16 Jun
ancient13–11-0.0417%16 Jun
mirage8–13-0.0420%15 Jun
inferno13–100.0211%10 Jun
ancient14–16-0.0510%10 Jun
anubis9–13-0.0510%10 Jun
ancient13–90.0013%8 Jun
mirage13–60.029%8 Jun
grail13–80.0120%7 Jun
ancient8–13-0.0613%7 Jun
inferno13–5-0.046%7 Jun
dust212–12-0.0215%7 Jun
dust28–130.0013%7 Jun
train13–90.0416%7 Jun
ancient8–13-0.097%5 Jun
train6–13-0.0113%5 Jun
jura13–40.0111%5 Jun
train12–12-0.0313%30 May
mirage12–12-0.088%27 May
ancient13–10-0.069%27 May
dust211–13-0.0329%26 May
inferno13–8-0.0211%26 May
inferno14–16-0.0518%26 May
anubis6–13-0.0511%26 May
ancient13–100.0114%24 May
dust213–9-0.0111%24 May
mirage5–13-0.0612%23 May
train13–11-0.0312%23 May
ancient12–12-0.074%23 May
vertigo13–11-0.067%22 May
train13–50.0116%22 May
anubis7–13-0.0512%22 May
ancient6–13-0.0423%22 May
inferno13–4-0.0113%20 May
anubis13–80.1216%20 May
nuke3–130.0111%20 May
ancient6–13-0.1018%19 May
mirage2–13-0.0415%19 May
mirage2–13-0.1120%19 May
mirage13–50.0315%18 May
ancient13–8-0.057%18 May
ancient3–13-0.1011%16 May
anubis8–13-0.0612%16 May
nuke5–13-0.047%13 May
anubis13–30.0116%13 May
mirage6–13-0.039%13 May

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 →