DC3

DC3 — CS2 Stats

US76561198048905036[U:1:88639308]Steam profile ↗✓ No bans

545Tracked matches56%Win rate2020Tracked since
CSDB Rating7.4 StrongAggressive Rifler
Premier CS Rating16,548Purple band · top ~22.2% of ranked players (population est.)
CSDB Leaderboard#11873 of 20081 tracked
Ladder ranks via Leetify

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CSDB.GGDC3PREMIER16,548 · Purple bandcsdb.gg/stats

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Performance scores

Aim85
Positioning66
Utility65

0–100 skill scores via Leetify.

Recent form

HOT493813Last 10049%Win rateTWWWLWWWWL

Last 10 vs previous 10: +20pp win rate · -0.04 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.5
Aggression10.0
Utility6.5
Positioning6.6
Opening Duels5.4

Sharp aimerExcellent counter-strafingStrong 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

sh1ro

Plays most like sh1ro 95% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

CT openings. 64% 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 64% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 551ms 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

Aim8.5
Positioning6.6
Utility6.5
Mechanics8.6
Opening Duels5.4
Win Impact7.0

Composite 7.4/10 (Strong), 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 rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time552ms−29ms
first ⅓ avg 582ms → last ⅓ avg 552ms
Headshot accuracy14.4%−3.0%
first ⅓ avg 17.3% → last ⅓ avg 14.4%

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 — train 13–8
120Biggest win — ancient
6Longest win streak
58In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 83% over 6ancientWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
infernoB25121348%0.02
dust2C167944%0.02
ancientD1551033%0.02
officeS128467%0.05
mirageC104640%0.00
overpassC73443%0.03
cacheC73443%0.00
nukeS65183%0.02
anubis110100%-0.02
train110100%0.12

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.7%Headshot accuracy
37.6%Accuracy (enemy spotted)
39.4%Spray accuracy
88.5%Counter-strafing
7.2°Preaim
551msReaction time
39.8%T opening success
63.7%CT opening success
0.53Enemies flashed / flash
5.3%Flash assists
13.77HE damage / grenade
14.18Flashes / 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. 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 14.7089% — below the 15% mark we flag

    Aim Training
  2. 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 39.8012% — below the 40% mark we flag

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.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
office12–12-0.0322%24 Aug
anubis13–11-0.0211%8 Jul
inferno13–80.0013%8 Jul
inferno13–80.0117%4 Jul
dust25–130.0019%4 Jul
nuke13–7-0.0113%2 Jul
dust213–100.1016%2 Jul
dust213–30.0711%29 Jun
office13–90.0511%28 Jun
ancient0–7-0.070%28 Jun
ancient9–130.0311%26 Jun
inferno6–130.0613%24 Jun
ancient15–150.0517%23 Jun
dust213–90.0816%23 Jun
office9–130.0229%21 Jun
office13–50.1014%21 Jun
inferno15–150.0316%21 Jun
overpass13–20.0816%20 Jun
ancient6–30.066%19 Jun
inferno13–30.0311%19 Jun
office13–110.0314%18 Jun
inferno12–160.0112%18 Jun
dust210–13-0.0415%18 Jun
ancient12–120.0516%17 Jun
ancient15–150.0312%15 Jun
overpass10–130.0011%15 Jun
dust27–13-0.0217%15 Jun
cache5–13-0.0115%13 Jun
office13–70.1212%13 Jun
inferno11–130.0118%11 Jun
mirage16–130.0213%11 Jun
nuke11–13-0.0320%10 Jun
nuke13–6-0.0217%10 Jun
dust213–50.1018%10 Jun
cache13–100.0022%10 Jun
nuke13–40.0422%9 Jun
nuke13–60.0415%8 Jun
overpass13–11-0.019%8 Jun
inferno10–130.0715%8 Jun
inferno16–130.0921%7 Jun
inferno9–130.0211%7 Jun
inferno13–110.0216%6 Jun
inferno13–100.0214%6 Jun
mirage4–13-0.0411%4 Jun
inferno13–40.1030%4 Jun
ancient13–7-0.0212%4 Jun
ancient11–130.0517%4 Jun
inferno13–4-0.0119%4 Jun
inferno11–13-0.0511%3 Jun
mirage10–130.0013%3 Jun
inferno4–13-0.0215%3 Jun
inferno13–80.036%3 Jun
inferno10–130.0417%2 Jun
ancient12–00.0819%2 Jun
mirage9–130.0111%2 Jun
ancient11–130.0210%2 Jun
mirage13–80.0120%1 Jun
overpass15–150.0313%1 Jun
overpass10–130.0121%1 Jun
inferno0–13-0.100%1 Jun
overpass13–110.0315%29 May
mirage9–13-0.0314%29 May
cache13–70.049%29 May
inferno11–130.0515%27 May
ancient13–80.0523%27 May
dust28–13-0.0524%26 May
inferno13–100.0312%25 May
cache12–12-0.0415%25 May
dust213–100.0213%24 May
inferno13–3-0.0129%24 May
overpass10–130.0312%24 May
cache12–12-0.0015%24 May
cache13–4-0.0017%23 May
ancient11–13-0.0414%23 May
dust213–100.0218%23 May
cache10–130.018%29 Apr
office13–90.0628%18 Apr
ancient9–13-0.0119%9 Feb
office9–13-0.0427%5 Feb
office13–70.1113%3 Feb
inferno12–12-0.0122%31 Jan
ancient8–130.016%2 Jan
train13–80.1224%2 Jan
nuke13–70.1013%27 Dec
inferno14–16-0.0513%27 Dec
ancient13–30.086%23 Dec
dust26–130.0925%18 Dec
inferno6–20.0616%18 Dec
dust215–150.0218%12 Dec
mirage15–150.0112%12 Dec
mirage13–90.0510%10 Dec
dust21–13-0.0035%10 Dec
mirage13–50.0411%4 Dec
office13–30.0730%28 Nov
mirage7–13-0.0321%26 Nov
office13–90.0521%19 Nov
dust24–13-0.0223%16 Nov
dust212–12-0.049%16 Nov
dust213–60.0217%14 Nov
office12–120.0513%13 Nov

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 →