BBL Draco

BBL Draco — CS2 Stats

US76561199099329667[U:1:1139063939]Steam profile ↗✓ No bans

712Tracked matches43%Win rate2021Tracked since
1,024Hours in CS12Hrs last 2 wks
CSDB Rating4.2 DevelopingClutch Specialist
Premier CS Rating16,140Purple band · top ~23.9% of ranked players (population est.)
CSDB Leaderboard#13343 of 22164 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), 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 playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate29.2%42.1%42.5%13.3% short
Shot accuracy17.3%12.1%10.9%above
Kill/death ratio1.180.990.99above
Match win rate43.8%43.9%44.2%meets

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

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBBL DracoFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER16,140 · Purple bandcsdb.gg/stats

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Performance scores

Aim44
Positioning40
Utility57

0–100 skill scores via Leetify.

Recent form

COLD40555Last 10040%Win rateWWLWLLLLLT

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

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim4.4
Aggression2.6
Utility5.7
Positioning4.0
Opening Duels0.7
Clutch10.0

Effective flashesReliable in 1v1s

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 78% playstyle similarity

Most alike: utility contribution, opening-duel success.

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. 617ms 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

Aim4.4
Positioning4.0
Utility5.7
Mechanics5.7
Opening Duels0.8
Win Impact2.6

Composite 4.2/10 (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-0.01+0.03
first ⅓ avg -0.04 → last ⅓ avg -0.01
Reaction time628ms−101ms
first ⅓ avg 729ms → last ⅓ avg 628ms
Headshot accuracy12.8%−0.5%
first ⅓ avg 13.3% → last ⅓ avg 12.8%

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 13–4
130Biggest win — dust2
7Longest win streak
W2Current streak
53In matches decided by ≤2 rounds
2Overtime games

Map breakdown

nukeBest map · 52% over 25ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
nukeB25131252%-0.01
infernoC2081240%0.01
mirageC156940%-0.00
dust2C114736%-0.03
cacheD82625%-0.03
overpassD62433%-0.00
ancientD51420%-0.04
anubis42250%-0.02
train31233%-0.00
vertigo31233%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,133Lifetime kills
1.18K/D · Top 25% of Level 3 players
1,328Matches
43.8%Match win rate
29.2%Headshot %
17.3%Shot accuracy · Top 25% of Level 3 players
2,602MVPs
456Hours (in match)
1,211Bombs planted
370Bombs defused

Most-used weapons

Lifetime map wins

2,161inferno
1,948nuke
1,879dust2
497train
353vertigo
294office
109lake
106italy

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

Faceit stats

Combat

8Matches
38%Win rate
0.73Avg K/D
60.4ADR
35%Headshot %

Clutches & streaks

100%1v1 clutch win
14%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno333%0.639.3
Dust2250%0.7014.0
Mirage1100%1.5015.0
Nuke10%0.7911.0

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.

12.6%Headshot accuracy
30.6%Accuracy (enemy spotted)
33.4%Spray accuracy
75.7%Counter-strafing
10.8°Preaim
617msReaction time
29.2%T opening success
36.8%CT opening success
0.75Enemies flashed / flash
3.7%Flash assists
8.13HE damage / grenade
11.35Flashes / 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 12.595% — 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 29.1595% — 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–11-0.019%26 Aug
nuke13–60.0611%26 Aug
mirage3–13-0.0317%26 Aug
dust213–40.0221%22 Aug
train5–60.0433%19 Aug
nuke7–13-0.0510%19 Aug
dust28–11-0.0111%16 Aug
mirage8–13-0.088%16 Aug
mirage5–13-0.0311%15 Aug
train12–12-0.0815%15 Aug
nuke13–10.0811%15 Aug
overpass9–130.0220%15 Aug
inferno13–6-0.0012%11 Aug
mirage10–13-0.0616%3 Aug
nuke7–13-0.0115%28 Jul
anubis13–50.098%28 Jul
nuke13–8-0.0515%27 Jul
cache6–13-0.076%27 Jul
inferno15–150.018%26 Jul
dust213–6-0.0511%26 Jul
nuke13–1-0.0122%26 Jul
nuke13–110.0315%26 Jul
inferno2–130.026%26 Jul
cache6–13-0.0111%25 Jul
mirage8–130.0111%25 Jul
ancient8–13-0.053%25 Jul
cache13–4-0.0112%25 Jul
dust29–13-0.0223%25 Jul
mirage3–13-0.0418%25 Jul
anubis13–7-0.029%25 Jul
mirage16–130.078%25 Jul
ancient9–13-0.049%23 Jul
nuke13–30.037%22 Jul
nuke13–40.0223%22 Jul
mirage13–30.040%21 Jul
nuke4–13-0.0010%17 Jul
vertigo3–13-0.038%17 Jul
mirage9–13-0.0118%15 Jul
nuke7–13-0.0016%15 Jul
mirage9–130.0811%13 Jul
train13–40.046%13 Jul
inferno13–40.203%13 Jul
vertigo13–100.0913%13 Jul
nuke13–7-0.004%12 Jul
inferno13–30.0416%12 Jul
nuke13–80.0319%12 Jul
mirage13–90.073%12 Jul
inferno10–130.0215%12 Jul
inferno13–7-0.1023%5 Jul
cache5–13-0.0212%4 Jul
overpass13–2-0.022%4 Jul
ancient8–13-0.028%4 Jul
inferno11–130.0415%3 Jul
inferno3–13-0.018%30 Jun
inferno8–130.029%30 Jun
inferno13–30.179%30 Jun
ancient13–20.0111%30 Jun
overpass13–50.038%30 Jun
mirage13–11-0.0117%28 Jun
anubis3–13-0.085%15 Jun
overpass3–13-0.0512%15 Jun
nuke13–80.0312%11 Jun
inferno6–13-0.0617%8 Jun
dust25–13-0.055%7 Jun
mirage13–20.058%7 Jun
dust27–13-0.078%31 May
inferno6–13-0.0219%27 May
overpass5–13-0.0310%26 May
nuke13–100.0113%26 May
nuke9–130.0022%25 May
nuke12–12-0.0517%25 May
nuke2–13-0.0412%24 May
cache13–110.0813%22 May
cache9–13-0.088%11 May
cache7–13-0.1115%5 May
ancient7–13-0.0811%5 May
inferno13–9-0.0113%4 May
inferno3–13-0.079%3 May
inferno13–110.018%30 Apr
mirage3–7-0.080%30 Apr
cache4–13-0.0715%30 Apr
nuke9–130.0317%29 Apr
overpass11–130.0414%26 Apr
inferno8–13-0.0416%26 Apr
anubis3–6-0.070%24 Apr
nuke13–5-0.069%24 Apr
inferno13–5-0.0023%24 Apr
nuke2–12-0.0621%23 Apr
dust26–130.0112%23 Apr
nuke9–13-0.0227%22 Apr
nuke10–13-0.0723%21 Apr
inferno7–13-0.105%14 Apr
inferno12–120.0516%5 Apr
nuke13–10-0.0813%5 Apr
dust213–7-0.0223%1 Apr
dust213–0-0.0217%1 Apr
vertigo3–13-0.120%1 Apr
dust23–13-0.070%30 Mar
dust210–13-0.0621%30 Mar
nuke12–12-0.1016%25 Feb

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 →