BlackBird03 — CS2 Stats

76561198165527827[U:1:205262099]

519Tracked matches34%Win rate2020Tracked since
CSDB Rating5.5 SolidHybrid Rifler
Premier CS Rating21,196Pink band · top ~7.2% of ranked players (population est.)
CSDB Leaderboard#5498 of 14420 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGBlackBird03FACEITLevel 8STANDINGTop 31.2% of rankedPREMIER21,196 · Pink bandcsdb.gg/stats

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Performance scores

Aim70
Positioning40
Utility63

0–100 skill scores via Leetify.

Recent form

COLD43552Last 10043%Win rateLLLWWLLLWL

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.0
Aggression4.7
Utility6.3
Positioning4.0
Opening Duels2.0
Clutch5.8

Excellent counter-strafingStrong CT-side openerEffective flashes

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 91% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 52% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 657ms 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

Aim7.0
Positioning4.0
Utility6.3
Mechanics8.6
Opening Duels2.8
Win Impact0.0

Composite 5.5/10 (Solid), 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-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time659ms−3ms
first ⅓ avg 662ms → last ⅓ avg 659ms
Headshot accuracy21.8%−0.5%
first ⅓ avg 22.3% → last ⅓ avg 21.8%

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

0.13Best rating — mirage 13–7
131Biggest win — inferno
3Longest win streak
L3Current streak
811In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 56% over 9mirageWeakest map · 38% over 24
MapGradePlayedRecordWin rateAvg rating
dust2C36152142%-0.00
mirageC2491538%0.01
infernoB1991047%0.01
cacheA95456%0.02
anubis42250%0.05
ancient31233%-0.04
nuke32167%0.01
overpass2020%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 24). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,066Matches
50%Win rate
1.09Avg K/D
79.2ADR
42%Headshot %

Clutches & streaks

49%1v1 clutch win
25%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust22560%1.1016.9
Mirage1979%1.5820.1
Inferno1429%0.8816.6
Anubis650%1.1415.7
Ancient650%0.9611.2
Cache540%0.8913.6
Overpass250%0.7112.0

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.

21.3%Headshot accuracy
34.0%Accuracy (enemy spotted)
32.3%Spray accuracy
88.8%Counter-strafing
9.6°Preaim
657msReaction time
24.1%T opening success
52.3%CT opening success
0.70Enemies flashed / flash
3.6%Flash assists
9.13HE damage / grenade
8.84Flashes / 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 24.1104% — below the 40% mark we flag

Spend your practice time on Mirage

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 24 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0515%24 Aug
ancient2–13-0.0619%20 Aug
dust211–130.0417%18 Aug
mirage13–70.1328%3 Aug
dust213–60.0322%3 Aug
mirage8–130.0415%3 Aug
dust213–160.0320%3 Aug
dust214–16-0.0119%3 Aug
inferno13–30.0317%3 Aug
cache13–16-0.0912%3 Aug
dust29–13-0.0527%31 Jul
inferno0–13-0.0934%31 Jul
inferno15–15-0.0215%31 Jul
mirage11–13-0.0519%31 Jul
dust213–4-0.0343%30 Jul
cache13–60.0524%29 Jul
inferno3–13-0.0022%29 Jul
dust210–13-0.0825%29 Jul
dust210–13-0.0411%27 Jul
inferno16–120.0625%27 Jul
mirage11–13-0.0130%26 Jul
cache13–110.1228%26 Jul
mirage5–13-0.0623%26 Jul
cache13–70.0731%26 Jul
inferno8–130.0113%25 Jul
dust211–13-0.0816%25 Jul
mirage13–70.0715%25 Jul
mirage2–110.0317%24 Jul
inferno16–140.0021%24 Jul
mirage7–13-0.0431%24 Jul
mirage9–13-0.0321%22 Jul
inferno9–13-0.0221%22 Jul
cache13–60.0526%22 Jul
mirage13–80.1032%22 Jul
dust213–80.0428%22 Jul
dust22–13-0.0317%22 Jul
cache4–13-0.0524%22 Jul
mirage16–140.0332%21 Jul
inferno6–130.0024%21 Jul
inferno3–130.0626%21 Jul
dust213–9-0.0528%21 Jul
dust213–90.0525%21 Jul
dust29–13-0.0121%21 Jul
mirage13–9-0.0318%21 Jul
inferno13–100.1122%15 Jul
mirage5–13-0.0122%15 Jul
dust213–70.0216%15 Jul
mirage13–70.0118%14 Jul
nuke10–13-0.0115%14 Jul
dust214–160.0112%14 Jul
dust29–130.0918%14 Jul
inferno13–10.0432%14 Jul
dust213–80.0623%13 Jul
mirage3–13-0.0115%13 Jul
cache13–10.0133%13 Jul
cache5–130.1025%13 Jul
mirage3–13-0.0218%13 Jul
dust213–100.0319%10 Jul
dust29–130.0121%10 Jul
anubis13–20.0822%10 Jul
cache4–13-0.0429%10 Jul
mirage13–16-0.0212%10 Jul
inferno16–13-0.0115%9 Jul
mirage11–30.1011%9 Jul
dust25–130.0426%9 Jul
dust216–140.0127%9 Jul
dust213–70.0227%7 Jul
dust29–13-0.0212%6 Jul
mirage4–130.0529%6 Jul
mirage7–130.0117%6 Jul
inferno8–13-0.0719%6 Jul
inferno13–110.0424%6 Jul
dust213–110.0925%6 Jul
dust213–11-0.0321%25 Jun
overpass11–13-0.0216%25 Jun
mirage11–130.0223%25 Jun
anubis16–130.0524%25 Jun
ancient5–20.0119%25 Jun
ancient9–13-0.0710%24 Jun
mirage13–11-0.0220%24 Jun
dust27–13-0.0230%24 Jun
dust25–13-0.0031%24 Jun
inferno13–60.0157%23 Jun
dust215–15-0.0914%23 Jun
inferno4–130.0218%23 Jun
anubis7–130.0520%23 Jun
dust24–130.0322%22 Jun
dust213–60.0627%22 Jun
dust211–130.026%21 Jun
anubis11–130.0113%21 Jun
nuke13–100.0123%19 Jun
inferno3–13-0.0530%19 Jun
dust213–10-0.0317%19 Jun
dust27–00.0430%19 Jun
dust22–13-0.1214%19 Jun
mirage13–9-0.0420%19 Jun
nuke9–00.0326%19 Jun
inferno13–90.0125%19 Jun
overpass10–13-0.0137%18 Jun
mirage10–130.0316%18 Jun

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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