Buzzed Aldrin — CS2 Stats

76561197965517459[U:1:5251731]

4,948Tracked matches67%Win rate2020Tracked since
CSDB Rating4.3 Developing
Premier CS Rating19,999Purple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#10720 of 25186 tracked
FaceitLevel 3 · 657 ELOTop 90.6% of ranked FACEIT players
Ladder ranks via Leetify

Share this profile

CSDB.GGBuzzed AldrinFACEITLevel 3 · 657 ELOSTANDINGTop 90.6% of rankedPREMIER19,999 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim37
Positioning45
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY52462Last 10052%Win rateWWLWLWLWWW

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

Player DNA

Aim3.7
Aggression4.7
Utility3.8
Positioning4.5
Opening Duels1.4
Clutch2.2

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 79% playstyle similarity

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

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 45% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 607ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim3.7
Positioning4.5
Utility3.8
Mechanics3.8
Opening Duels1.9
Win Impact10.0

Composite 4.3/10 (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+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time600ms−7ms
first ⅓ avg 607ms → last ⅓ avg 600ms
Headshot accuracy8.9%−0.4%
first ⅓ avg 9.3% → last ⅓ avg 8.9%

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

0.10Best rating — inferno 13–5
130Biggest win — dust2
8Longest win streak
W2Current streak
68In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 67% over 12infernoWeakest map · 44% over 18
MapGradePlayedRecordWin rateAvg rating
dust2B2091145%-0.03
mirageB1991047%-0.03
infernoC1881044%-0.01
cacheA148657%-0.04
anubisS128467%-0.04
ancientA117464%-0.00
nukeB63350%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (44% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

498Matches
50%Win rate
0.96Avg K/D
80.3ADR
30%Headshot %

Clutches & streaks

31%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage7751%0.8415.0
Inferno4050%1.0116.4
Dust23855%0.9714.6
Ancient2846%0.9015.1
Anubis2650%0.8514.0
Vertigo633%0.7412.8
Nuke450%0.8414.3
Cache40%0.7412.5

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.

8.8%Headshot accuracy
32.3%Accuracy (enemy spotted)
36.1%Spray accuracy
67.2%Counter-strafing
11.2°Preaim
607msReaction time
26.4%T opening success
45.0%CT opening success
0.58Enemies flashed / flash
2.3%Flash assists
8.04HE damage / grenade
2.96Flashes / 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 8.7674% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.9605 — below the 4 mark we flag

    Grenade Lineups
  3. 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 26.4289% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

44% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–90.0011%29 Aug
dust213–7-0.018%29 Aug
nuke5–13-0.0311%28 Aug
mirage13–9-0.0218%28 Aug
anubis9–13-0.061%28 Aug
dust213–100.0010%28 Aug
mirage9–130.0210%28 Aug
ancient13–8-0.0213%28 Aug
inferno13–40.088%28 Aug
dust213–90.0221%28 Aug
cache13–11-0.065%28 Aug
inferno13–100.067%28 Aug
dust213–80.027%27 Aug
mirage16–130.018%27 Aug
dust216–13-0.024%27 Aug
cache2–13-0.0813%27 Aug
cache13–60.0410%27 Aug
anubis13–8-0.017%27 Aug
ancient16–13-0.009%27 Aug
inferno11–13-0.068%27 Aug
anubis13–9-0.103%25 Aug
dust213–30.0013%24 Aug
ancient13–20.027%23 Aug
mirage12–16-0.066%23 Aug
inferno13–7-0.0210%23 Aug
nuke12–16-0.077%22 Aug
anubis6–13-0.070%22 Aug
dust211–13-0.0114%22 Aug
inferno10–13-0.058%22 Aug
anubis13–80.039%22 Aug
dust211–13-0.0414%22 Aug
ancient11–13-0.026%22 Aug
cache15–15-0.016%22 Aug
dust211–13-0.039%21 Aug
ancient4–00.0117%21 Aug
anubis13–8-0.062%21 Aug
dust25–13-0.0514%21 Aug
mirage13–70.024%21 Aug
nuke10–130.0310%21 Aug
inferno10–13-0.014%21 Aug
mirage13–11-0.0512%21 Aug
cache13–7-0.048%21 Aug
cache13–10-0.0710%20 Aug
mirage0–13-0.110%20 Aug
dust213–3-0.043%20 Aug
inferno13–50.107%20 Aug
anubis8–1-0.078%20 Aug
dust22–13-0.085%20 Aug
anubis13–9-0.034%19 Aug
ancient9–130.024%18 Aug
cache11–13-0.0611%17 Aug
dust22–13-0.086%17 Aug
inferno6–13-0.0510%17 Aug
ancient16–13-0.0112%17 Aug
anubis13–9-0.0410%17 Aug
dust25–13-0.029%17 Aug
mirage13–3-0.0311%17 Aug
inferno10–13-0.018%17 Aug
cache13–3-0.0418%17 Aug
ancient13–70.0516%17 Aug
mirage4–13-0.030%17 Aug
dust26–13-0.066%17 Aug
nuke16–12-0.073%16 Aug
dust24–13-0.074%16 Aug
mirage8–13-0.0413%16 Aug
dust213–00.038%16 Aug
nuke13–6-0.0317%16 Aug
anubis5–13-0.086%16 Aug
ancient3–13-0.079%16 Aug
anubis13–10-0.0113%16 Aug
mirage13–8-0.0511%16 Aug
inferno13–60.028%16 Aug
inferno12–160.037%16 Aug
mirage3–13-0.0618%15 Aug
mirage13–90.0220%14 Aug
mirage1–13-0.058%14 Aug
inferno5–13-0.0322%14 Aug
inferno4–13-0.017%11 Aug
cache13–9-0.0512%11 Aug
inferno13–2-0.020%11 Aug
cache13–1-0.065%10 Aug
cache7–13-0.0610%10 Aug
dust28–13-0.1114%10 Aug
anubis7–130.0112%10 Aug
mirage13–9-0.0111%10 Aug
mirage8–13-0.024%9 Aug
ancient6–13-0.006%9 Aug
dust29–13-0.026%9 Aug
ancient13–110.027%8 Aug
cache11–130.057%4 Aug
cache12–12-0.043%3 Aug
mirage11–13-0.033%3 Aug
dust213–110.0015%2 Aug
nuke13–11-0.056%29 Jul
inferno13–6-0.0410%28 Jul
mirage9–130.006%28 Jul
inferno1–5-0.0713%28 Jul
inferno13–110.0315%28 Jul
inferno7–13-0.076%27 Jul
cache13–7-0.0411%27 Jul

Match data via Leetify.

Milestones

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