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blackbeard — CS2 Stats

76561198858511543[U:1:898245815]✓ No bans

1,277Tracked matches42%Win rate2020Tracked since
CSDB Rating5.3 DevelopingHybrid Rifler
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

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CSDB.GGblackbeardFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim67
Positioning44
Utility53

0–100 skill scores via Leetify.

Recent form

COLD37–50–13Last 10037%Win rateLTWTLLLWLL

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

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

Aim6.7
Aggression4.9
Utility5.3
Positioning4.4
Opening Duels1.2
Clutch0.0

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 88% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

Reaction time. 670ms 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

Aim6.7
Positioning4.4
Utility5.3
Mechanics8.3
Opening Duels1.3
Win Impact2.4

Composite 5.3/10 (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-0.02+0.02
first ⅓ avg -0.04 → last ⅓ avg -0.02
Reaction time663ms−25ms
first ⅓ avg 688ms → last ⅓ avg 663ms
Headshot accuracy29.2%−3.7%
first ⅓ avg 32.9% → last ⅓ avg 29.2%

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

0.13Best rating — inferno 13–6
13–1Biggest win — cache
5Longest win streak
3–7In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 50% over 24ancientWeakest map · 15% over 13
MapGradePlayedRecordWin rateAvg rating
cacheB2412–1250%-0.01
mirageD195–1426%-0.04
infernoB147–750%-0.01
ancientD132–1115%-0.02
dust2C125–742%-0.01
overpassC52–340%-0.07
nuke—42–250%-0.03
train—41–325%-0.03
anubis—31–233%-0.01
sanctum—10–10%-0.28
vertigo—10–10%-0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

48Matches
44%Win rate
0.80Avg K/D
78.4ADR
46%Headshot %

Clutches & streaks

14%1v1 clutch win
57%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage560%0.8811.2
Dust2425%0.9816.3
Nuke333%1.1716.7
Inferno2100%1.2620.5

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.

28.8%Headshot accuracy
28.7%Accuracy (enemy spotted)
26.9%Spray accuracy
87.4%Counter-strafing
9.1°Preaim
670msReaction time
28.6%T opening success
40.6%CT opening success
0.61Enemies flashed / flash
8.1%Flash assists
9.59HE damage / grenade
6.60Flashes / 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 28.5714% — 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.

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache7–130.0620%3 Aug →
mirage12–12-0.0421%3 Aug →
cache13–10.0634%2 Aug →
cache12–12-0.0821%2 Aug →
mirage4–13-0.0517%2 Aug →
ancient11–13-0.0520%2 Aug →
mirage8–13-0.0328%2 Aug →
cache13–6-0.0317%30 May →
cache8–13-0.0640%30 May →
inferno6–9-0.0933%30 May →
inferno9–40.0531%30 May →
cache3–13-0.0927%30 May →
cache13–10-0.0428%20 May →
cache13–50.0228%19 May →
mirage9–13-0.0517%19 May →
ancient2–13-0.1029%19 May →
dust24–13-0.0142%19 May →
mirage13–100.1133%19 May →
cache11–13-0.0124%19 May →
cache13–2-0.017%18 May →
dust26–13-0.0837%18 May →
mirage11–13-0.0236%18 May →
cache4–13-0.0315%18 May →
inferno11–130.0133%17 May →
inferno13–9-0.0226%16 May →
dust213–70.1143%14 May →
cache12–12-0.0432%14 May →
mirage1–13-0.1325%11 May →
cache13–9-0.0046%11 May →
cache13–100.0530%10 May →
cache12–120.0340%10 May →
cache13–60.0535%8 May →
cache5–13-0.0442%8 May →
cache13–4-0.0144%7 May →
cache13–100.0146%5 May →
dust25–13-0.0434%4 May →
cache4–13-0.0437%4 May →
inferno9–20.0129%4 May →
cache8–130.0539%29 Apr →
cache13–9-0.0425%29 Apr →
cache12–120.0133%29 Apr →
cache13–70.0235%29 Apr →
mirage9–1-0.0231%28 Apr →
dust213–40.0534%28 Apr →
inferno13–8-0.0031%28 Apr →
anubis13–70.0633%27 Apr →
mirage4–13-0.0832%23 Apr →
ancient13–60.0445%23 Apr →
inferno3–13-0.0530%23 Apr →
mirage12–12-0.0730%22 Apr →
ancient10–13-0.0430%22 Apr →
mirage9–13-0.0623%10 Apr →
dust28–13-0.0326%9 Apr →
mirage5–13-0.0529%9 Apr →
anubis11–13-0.0447%7 Apr →
overpass12–12-0.0738%7 Apr →
mirage12–12-0.0227%6 Apr →
overpass6–13-0.0921%6 Apr →
inferno12–12-0.0138%6 Apr →
ancient13–110.0526%30 Mar →
dust27–130.0139%30 Mar →
overpass6–13-0.0733%30 Mar →
inferno8–13-0.0244%18 Mar →
mirage13–10-0.0823%17 Mar →
nuke13–7-0.0535%17 Mar →
nuke6–90.0139%17 Mar →
ancient5–13-0.0422%5 Mar →
dust28–13-0.0431%5 Mar →
sanctum0–9-0.2825%5 Mar →
inferno9–7-0.0333%5 Mar →
dust210–13-0.1031%2 Mar →
train13–10-0.0130%2 Mar →
vertigo3–13-0.0916%28 Feb →
ancient12–120.0231%28 Feb →
train11–13-0.0129%28 Feb →
inferno5–13-0.0528%28 Feb →
dust213–7-0.0260%28 Feb →
ancient6–13-0.0844%28 Feb →
mirage2–13-0.1131%28 Feb →
ancient3–13-0.0923%27 Feb →
nuke5–13-0.0750%27 Feb →
overpass13–10-0.0737%27 Feb →
dust213–80.0037%25 Feb →
ancient12–12-0.0236%25 Feb →
inferno13–60.1334%25 Feb →
mirage13–90.0036%25 Feb →
train4–13-0.0239%25 Feb →
overpass13–10-0.0536%24 Feb →
ancient4–130.0327%24 Feb →
train5–13-0.0921%24 Feb →
ancient11–130.0228%19 Feb →
dust213–10-0.0325%19 Feb →
mirage12–12-0.0332%14 Feb →
anubis10–13-0.0529%14 Feb →
ancient12–12-0.0027%12 Feb →
inferno6–13-0.0936%7 Feb →
mirage8–13-0.0719%5 Feb →
inferno13–110.0255%5 Feb →
mirage13–70.0933%5 Feb →
nuke13–7-0.0335%5 Feb →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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