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豪

豪 — CS2 Stats

76561199120973691[U:1:1160707963]Steam profile ↗

813Tracked matches53%Win rate2020Tracked since
871Hours in CS
CSDB Rating5.8 SolidHybrid Rifler
Premier CS Rating19,062Purple band · top ~12.2% of ranked players (population est.)
CSDB Leaderboard#10786 of 22376 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate46.9%44.1%47.2%meets
Shot accuracy9.4%11.4%12.7%3.4% short
Kill/death ratio1.251.031.09above
Match win rate56.0%45.2%46.6%above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GG豪PREMIER19,062 · Purple bandcsdb.gg/stats

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Performance scores

Aim61
Positioning71
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY49–45–6Last 10049%Win rateWLLWWWWWLL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.1
Aggression8.6
Utility4.2
Positioning7.1
Opening Duels4.5
Clutch3.2

Strong CT-side opener

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

donk

Plays most like donk 87% playstyle similarity

Most alike: positioning profile, 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

Strengths

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 62% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 625ms 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

Aim6.1
Positioning7.1
Utility4.2
Mechanics6.0
Opening Duels4.5
Win Impact6.1

Composite 5.8/10 (Solid), 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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time627ms−4ms
first ⅓ avg 631ms → last ⅓ avg 627ms
Headshot accuracy22.2%−0.0%
first ⅓ avg 22.2% → last ⅓ avg 22.2%

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

0.20Best rating — inferno 5–0
13–0Biggest win — mirage
6Longest win streak
5–7In matches decided by ≤2 rounds
2Overtime games

Map breakdown

ancientBest map · 63% over 8nukeWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
infernoA2514–1156%0.03
mirageB209–1145%0.02
dust2B168–850%0.01
anubisB168–850%0.03
nukeD93–633%0.02
ancientA85–363%0.01
vertigo—21–150%-0.03
train—20–20%-0.01
cache—21–150%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,639Lifetime kills
1.25K/D · Top 25% of Purple band
2,076Matches
56.0%Match win rate · Top 5% of Purple band
46.9%Headshot % · Top 50% of Purple band
9.4%Shot accuracy
4,090MVPs
871Hours (in match)
2,796Bombs planted
520Bombs defused

Most-used weapons

AK-4710,529
M4A4 / M4A1-S5,451
AWP5,221
Desert Eagle2,333
P2000 / USP-S1,879
Glock-181,693
SSG 081,132
MAG-7871
MAC-10830
Tec-9742

Lifetime map wins

9,104dust2
4,772inferno
603nuke
299vertigo
181train
52office
16lake
14italy

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

Faceit stats

Combat

115Matches
58%Win rate
1.30Avg K/D
84.4ADR
45%Headshot %

Clutches & streaks

36%1v1 clutch win
21%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno2181%1.4018.3
Mirage2045%1.0216.2
Dust21765%1.4319.2
Ancient743%1.1416.9
Anubis367%1.9825.7
Nuke333%0.9720.3
Overpass10%1.2520.0
Vertigo1100%0.9211.0

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.

21.8%Headshot accuracy
33.3%Accuracy (enemy spotted)
34.0%Spray accuracy
76.9%Counter-strafing
11.1°Preaim
625msReaction time
34.0%T opening success
61.8%CT opening success
0.51Enemies flashed / flash
4.0%Flash assists
8.78HE damage / grenade
8.66Flashes / 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 33.9619% — 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 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–3-0.0216%26 Aug →
inferno10–130.0718%26 Aug →
ancient7–13-0.0012%21 Aug →
inferno13–70.0423%20 Aug →
nuke13–6-0.0426%19 Aug →
mirage13–80.0221%16 Aug →
mirage16–140.0824%16 Aug →
anubis13–50.1029%13 Aug →
nuke8–13-0.0413%13 Aug →
nuke8–130.0222%11 Aug →
mirage13–160.0219%10 Aug →
inferno8–13-0.0022%10 Aug →
dust27–13-0.0416%10 Aug →
inferno11–13-0.0219%9 Aug →
mirage8–13-0.0210%9 Aug →
anubis13–100.0412%8 Aug →
ancient13–90.0213%8 Aug →
inferno13–7-0.0114%7 Aug →
dust213–110.0634%6 Aug →
dust210–130.0327%6 Aug →
mirage9–130.0530%5 Aug →
inferno13–60.0423%5 Aug →
anubis13–2-0.0222%4 Aug →
inferno10–13-0.0624%3 Aug →
inferno13–90.0120%2 Aug →
anubis4–13-0.0621%2 Aug →
vertigo13–70.0420%1 Aug →
anubis13–6-0.0322%1 Aug →
vertigo0–13-0.1171%1 Aug →
inferno13–90.1229%31 Jul →
dust213–80.0427%30 Jul →
ancient13–70.0616%30 Jul →
anubis13–10-0.0019%28 Jul →
mirage4–130.0217%28 Jul →
inferno11–13-0.0129%28 Jul →
ancient13–110.0730%28 Jul →
anubis10–130.0617%27 Jul →
nuke2–40.1125%27 Jul →
anubis12–120.0521%27 Jul →
inferno8–13-0.0352%23 Jul →
mirage10–13-0.0347%23 Jul →
ancient8–3-0.0738%23 Jul →
inferno7–130.0436%21 Jul →
train12–12-0.0512%20 Jul →
inferno9–130.0324%19 Jul →
nuke13–90.0926%19 Jul →
cache4–13-0.0213%19 Jul →
ancient9–13-0.0516%19 Jul →
cache13–70.0521%18 Jul →
anubis7–13-0.0017%18 Jul →
dust28–13-0.0319%18 Jul →
inferno13–80.0122%18 Jul →
anubis11–13-0.0121%18 Jul →
mirage13–20.1324%18 Jul →
nuke10–130.0317%17 Jul →
inferno3–8-0.0120%16 Jul →
inferno13–30.0829%13 Jul →
nuke11–13-0.0228%13 Jul →
dust213–110.0229%10 Jul →
mirage7–13-0.0424%9 Jul →
dust29–13-0.0517%9 Jul →
inferno13–50.0719%7 Jul →
inferno13–90.0422%7 Jul →
anubis13–80.0924%7 Jul →
anubis12–120.0730%2 Jul →
mirage6–13-0.0324%2 Jul →
inferno13–8-0.0525%2 Jul →
dust212–120.0119%28 Jun →
mirage13–9-0.0410%28 Jun →
inferno13–110.1117%25 Jun →
mirage13–8-0.0121%25 Jun →
mirage8–13-0.0321%23 Jun →
mirage13–80.034%22 Jun →
anubis13–50.0724%22 Jun →
dust213–5-0.0121%22 Jun →
dust213–2-0.0130%21 Jun →
train10–130.0327%20 Jun →
mirage7–13-0.0615%20 Jun →
ancient2–13-0.0320%18 Jun →
mirage13–00.0620%18 Jun →
mirage13–40.0833%18 Jun →
inferno13–100.0424%16 Jun →
ancient13–90.0823%16 Jun →
inferno13–60.0631%15 Jun →
anubis13–50.059%14 Jun →
inferno12–120.0917%13 Jun →
anubis9–130.0315%13 Jun →
mirage11–130.0315%13 Jun →
nuke5–130.0330%12 Jun →
anubis11–13-0.0022%12 Jun →
inferno5–00.2035%12 Jun →
dust212–120.0336%12 Jun →
mirage13–90.0120%12 Jun →
dust213–80.1921%11 Jun →
inferno5–13-0.0223%11 Jun →
dust28–13-0.1020%11 Jun →
dust24–13-0.0320%10 Jun →
mirage5–130.0622%9 Jun →
nuke13–40.0330%9 Jun →
dust213–70.0938%9 Jun →

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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