DraCO

DraCO — CS2 Stats

IN76561199259109138[U:1:1298843410]Steam profile ↗✓ No bans

678Tracked matches41%Win rate2025Tracked since
CSDB Rating4.5 Developing
Premier CS Rating17,598Purple band · top ~18.1% of ranked players (population est.)
CSDB Leaderboard#28290 of 56520 tracked
WingmanGold Nova I
Ladder ranks via Leetify

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CSDB.GGDraCOPREMIER17,598 · Purple bandcsdb.gg/stats

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Performance scores

Aim48
Positioning56
Utility57

0–100 skill scores via Leetify.

Recent form

COLD51418Last 10051%Win rateLWTLLWLWLL

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

Aim4.8
Aggression5.9
Utility5.7
Positioning5.6
Opening Duels2.4

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

b1t

Plays most like b1t 88% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 590ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim4.8
Positioning5.6
Utility5.7
Mechanics4.3
Opening Duels2.4
Win Impact2.1

Composite 4.5/10 (Developing), 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 rating-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time591ms−45ms
first ⅓ avg 636ms → last ⅓ avg 591ms
Headshot accuracy17.7%+1.0%
first ⅓ avg 16.6% → last ⅓ avg 17.7%

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

0.38Best rating — inferno 9–1
132Biggest win — nuke
5Longest win streak
107In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 67% over 27ancientWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
mirageS2718967%-0.01
dust2B22101245%-0.01
infernoC167944%0.03
nukeB147750%-0.01
ancientC135838%-0.01
anubis32167%-0.02
train21150%-0.00
vertigo21150%0.04
cache1010%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 13). 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.

17.1%Headshot accuracy
30.5%Accuracy (enemy spotted)
33.9%Spray accuracy
69.4%Counter-strafing
10.8°Preaim
590msReaction time
39.3%T opening success
40.2%CT opening success
0.76Enemies flashed / flash
2.9%Flash assists
12.34HE damage / grenade
5.56Flashes / 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 39.2569% — 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.

38% 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
cache6–130.0442%30 Aug
mirage13–100.0112%30 Aug
mirage15–15-0.0413%26 Aug
mirage7–13-0.038%25 Aug
nuke7–130.0110%25 Aug
dust213–7-0.0218%24 Aug
ancient14–16-0.0014%24 Aug
mirage13–11-0.058%23 Aug
mirage9–13-0.0518%23 Aug
dust211–13-0.0022%22 Aug
mirage13–11-0.0514%22 Aug
dust26–13-0.0317%22 Aug
dust213–90.1418%21 Aug
dust24–13-0.0226%21 Aug
dust24–13-0.160%21 Aug
dust213–110.0518%20 Aug
mirage3–13-0.0650%20 Aug
mirage13–50.0223%20 Aug
inferno5–13-0.1023%19 Aug
ancient13–40.019%19 Aug
ancient13–40.1220%19 Aug
mirage13–110.0716%19 Aug
anubis5–10.0327%19 Aug
nuke8–13-0.0721%18 Aug
inferno10–130.030%18 Aug
dust29–13-0.0123%18 Aug
dust28–13-0.0023%16 Aug
nuke13–7-0.0122%16 Aug
mirage0–13-0.028%16 Aug
nuke13–16-0.0214%15 Aug
mirage13–30.1316%15 Aug
ancient13–3-0.0611%14 Aug
dust213–11-0.0322%14 Aug
mirage15–15-0.0313%13 Aug
inferno15–150.028%12 Aug
ancient8–130.0011%12 Aug
train13–3-0.0113%12 Aug
train6–130.0126%12 Aug
dust26–13-0.0918%10 Aug
nuke13–2-0.0414%10 Aug
inferno13–20.0122%9 Aug
mirage13–80.0516%9 Aug
dust213–30.0724%9 Aug
ancient8–130.0027%9 Aug
mirage16–12-0.0513%8 Aug
inferno9–7-0.1412%8 Aug
inferno13–110.0418%8 Aug
mirage13–7-0.0417%7 Aug
dust213–50.0120%7 Aug
mirage10–13-0.0426%7 Aug
dust24–13-0.0417%7 Aug
nuke9–6-0.0618%7 Aug
nuke9–5-0.149%7 Aug
inferno9–10.3823%7 Aug
ancient11–13-0.0617%6 Aug
dust213–40.0215%6 Aug
mirage13–4-0.0146%6 Aug
mirage13–8-0.066%6 Aug
inferno11–6-0.0621%6 Aug
mirage14–16-0.0017%6 Aug
nuke9–30.0723%6 Aug
ancient8–13-0.0124%5 Aug
mirage13–70.0016%5 Aug
ancient5–13-0.0516%5 Aug
nuke4–90.0421%5 Aug
mirage13–80.0314%4 Aug
mirage13–4-0.002%4 Aug
inferno13–8-0.0220%4 Aug
dust214–16-0.0312%4 Aug
inferno4–9-0.0711%4 Aug
inferno5–90.0217%4 Aug
anubis12–16-0.0714%3 Aug
nuke8–80.0626%3 Aug
mirage13–110.0618%3 Aug
inferno8–80.0721%3 Aug
vertigo13–110.0211%3 Aug
mirage13–7-0.0116%2 Aug
dust213–8-0.0016%2 Aug
nuke13–20.0118%2 Aug
mirage8–13-0.0710%1 Aug
dust211–130.0117%1 Aug
ancient3–13-0.0214%1 Aug
vertigo12–120.0627%1 Aug
ancient13–100.0320%31 Jul
nuke15–150.0120%31 Jul
dust28–13-0.0521%30 Jul
inferno11–130.1018%30 Jul
ancient13–11-0.0612%30 Jul
ancient7–13-0.0218%30 Jul
nuke9–40.099%30 Jul
inferno9–20.1622%30 Jul
dust213–2-0.0519%29 Jul
inferno4–8-0.0217%29 Jul
dust213–6-0.0618%29 Jul
mirage13–8-0.0111%29 Jul
nuke1–9-0.1627%29 Jul
inferno8–80.0316%29 Jul
anubis13–8-0.0212%28 Jul
dust28–13-0.0015%28 Jul
mirage13–100.025%28 Jul

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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