albert — CS2 Stats

76561198191564453[U:1:231298725]✓ No bans

666Tracked matches55%Win rate2020Tracked since
2,617Hours in CS3Hrs last 2 wks
CSDB Rating5.3 Developing
Premier CS Rating18,222Purple band · top ~15.6% of ranked players (population est.)
CSDB Leaderboard#6471 of 11886 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGalbertFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER18,222 · Purple bandcsdb.gg/stats

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Performance scores

Aim56
Positioning52
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY51454Last 10051%Win rateWLWLWWWLLL

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

Player DNA

Aim5.6
Aggression6.9
Utility5.5
Positioning5.2
Opening Duels2.4
Clutch3.2

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

Twistzz

Plays most like Twistzz 86% playstyle similarity

Most alike: opening-duel success, positioning profile.

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 52% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 620ms 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

Aim5.6
Positioning5.2
Utility5.5
Mechanics5.4
Opening Duels2.7
Win Impact6.7

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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time619ms−9ms
first ⅓ avg 628ms → last ⅓ avg 619ms
Headshot accuracy17.0%−0.9%
first ⅓ avg 17.9% → last ⅓ avg 17.0%

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

0.15Best rating — overpass 13–1
131Biggest win — overpass
9Longest win streak
76In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 64% over 22infernoWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C25101540%-0.00
mirageA2214864%0.00
ancientA169756%-0.00
nukeA106460%-0.02
infernoD93633%0.01
anubisB84450%-0.01
cacheA53260%-0.00
overpassC52340%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,883Lifetime kills
1.12K/D · Top 50% of tracked players
2,737Matches
48.0%Match win rate · Top 50% of tracked players
35.5%Headshot %
12.7%Shot accuracy · Top 50% of tracked players
6,856MVPs
1,264Hours (in match)
2,279Bombs planted
766Bombs defused

Most-used weapons

AK-4715,872
AWP7,904
Knife1,585
P90875

Lifetime map wins

2,977inferno
2,323dust2
1,717nuke
1,002vertigo
551train
345cbble
153office
79lake

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

Faceit stats

Combat

337Matches
53%Win rate
0.99Avg K/D
73.7ADR
40%Headshot %

Clutches & streaks

36%1v1 clutch win
21%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage7047%1.1014.7
Vertigo5666%1.0414.4
Inferno5569%0.9813.4
Ancient4455%0.9713.8
Nuke1942%0.9113.4
Anubis1625%0.7612.6
Dust2944%0.8413.2
Overpass10%0.459.0

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.

16.8%Headshot accuracy
33.1%Accuracy (enemy spotted)
37.9%Spray accuracy
74.1%Counter-strafing
10.9°Preaim
620msReaction time
27.8%T opening success
51.7%CT opening success
0.60Enemies flashed / flash
5.7%Flash assists
7.43HE damage / grenade
12.03Flashes / 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 27.8413% — 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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–6-0.0113%24 Aug
ancient3–13-0.079%18 Aug
mirage16–140.006%18 Aug
dust27–130.0620%7 Aug
anubis13–5-0.069%7 Aug
ancient13–100.0117%27 Jul
mirage13–100.0119%27 Jul
mirage7–130.0214%23 Jul
dust210–13-0.0616%23 Jul
mirage9–13-0.028%21 Jul
ancient9–130.0319%18 Jul
cache13–100.0219%17 Jul
anubis11–13-0.0218%16 Jul
cache13–90.0920%16 Jul
dust27–130.0318%12 Jul
ancient13–70.1016%12 Jul
dust213–110.0327%12 Jul
nuke13–3-0.0513%6 Jul
dust23–13-0.0317%6 Jul
nuke5–13-0.0623%5 Jul
dust215–150.0312%5 Jul
inferno9–130.0615%4 Jul
dust21–13-0.0518%4 Jul
nuke13–4-0.0437%4 Jul
ancient6–130.0429%4 Jul
mirage13–40.0323%3 Jul
dust213–9-0.037%3 Jul
cache13–60.0116%2 Jul
anubis13–30.0221%2 Jul
mirage13–8-0.0213%1 Jul
mirage13–70.0516%28 Jun
mirage13–90.0619%28 Jun
dust213–50.0016%25 Jun
ancient13–9-0.0115%25 Jun
dust23–20.0427%25 Jun
inferno15–15-0.0223%24 Jun
dust213–50.0517%23 Jun
mirage13–8-0.0217%23 Jun
mirage7–13-0.0217%22 Jun
inferno13–5-0.0310%22 Jun
ancient13–2-0.0017%22 Jun
inferno13–50.0123%22 Jun
mirage13–11-0.0216%17 Jun
overpass13–110.0914%17 Jun
ancient11–40.0624%17 Jun
nuke9–13-0.0410%17 Jun
dust27–13-0.074%16 Jun
anubis13–9-0.0310%9 Jun
dust25–13-0.0224%8 Jun
inferno3–13-0.023%8 Jun
ancient13–10-0.0428%2 Jun
ancient13–9-0.0312%2 Jun
mirage0–2-0.070%2 Jun
nuke13–80.0217%2 Jun
mirage13–70.0512%1 Jun
mirage13–7-0.018%29 May
cache10–13-0.0816%24 May
dust210–130.0214%22 May
cache5–13-0.0611%22 May
ancient6–130.0022%21 May
dust213–70.0318%18 May
mirage10–13-0.0811%8 May
dust213–7-0.0421%5 May
dust29–20.0619%5 May
nuke16–14-0.0018%4 May
overpass11–130.0423%4 May
nuke13–30.0815%4 May
dust213–8-0.0420%4 May
overpass13–10.1529%12 Apr
dust210–13-0.0514%4 Apr
mirage15–150.0119%4 Apr
dust28–2-0.015%26 Mar
ancient13–110.0114%22 Mar
inferno13–80.0317%22 Mar
dust213–30.025%22 Mar
inferno5–130.0321%21 Mar
anubis13–16-0.019%13 Mar
inferno5–130.0320%13 Mar
mirage13–90.0526%9 Mar
anubis16–140.0818%8 Mar
dust29–13-0.0140%17 Feb
mirage16–130.0211%17 Feb
dust22–13-0.0019%17 Feb
ancient4–13-0.0616%17 Feb
mirage13–5-0.0316%17 Feb
nuke7–13-0.0022%13 Feb
inferno11–130.0017%10 Feb
nuke13–9-0.0412%10 Feb
mirage9–13-0.0313%10 Feb
mirage13–60.0815%9 Feb
nuke11–13-0.0221%9 Feb
overpass15–150.0117%8 Feb
mirage2–13-0.0629%8 Feb
anubis5–130.0120%8 Feb
dust22–7-0.0325%8 Feb
overpass8–13-0.0213%6 Feb
dust29–13-0.0310%6 Feb
anubis9–13-0.0627%6 Feb
ancient6–13-0.0220%5 Feb
ancient3–13-0.0211%4 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 →