Albeon — CS2 Stats

76561198067546188[U:1:107280460]

256Tracked matches53%Win rate2020Tracked since
779Hours in CS0Hrs last 2 wks
CSDB Rating4.0 Developing
Ladder ranks via Leetify

Performance scores

Aim50
Positioning39
Utility13

0–100 skill scores via Leetify.

Recent form

STEADY49456Last 10049%Win rateLWWWLWWLWL

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

Aim5.0
Aggression3.3
Utility1.3
Positioning3.9
Opening Duels0.0

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 66% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 729ms 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

Aim5.0
Positioning3.9
Utility1.3
Mechanics6.2
Opening Duels0.3
Win Impact6.1

Composite 4.0/10 (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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time727ms−0ms
first ⅓ avg 728ms → last ⅓ avg 727ms
Headshot accuracy20.7%+2.9%
first ⅓ avg 17.8% → last ⅓ avg 20.7%

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

0.18Best rating — vertigo 13–5
131Biggest win — anubis
7Longest win streak
58In matches decided by ≤2 rounds
1Overtime games

Map breakdown

vertigoBest map · 63% over 8ancientWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
infernoB25131252%-0.03
mirageA24141058%-0.01
ancientC1661038%-0.03
nukeC146843%-0.01
anubisC104640%-0.02
vertigoA85363%-0.00
dust21010%-0.08
overpass110100%0.04
train1010%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,141Lifetime kills
1.05K/D · Top 50% of tracked players
1,135Matches
45.6%Match win rate · Top 50% of tracked players
39.1%Headshot %
17.9%Shot accuracy · Top 10% of tracked players
2,614MVPs
421Hours (in match)
1,030Bombs planted
203Bombs defused

Most-used weapons

Lifetime map wins

5,239dust2
815inferno
623nuke
342vertigo
57office
57train
30safehouse
29cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.6%Headshot accuracy
32.7%Accuracy (enemy spotted)
31.7%Spray accuracy
77.9%Counter-strafing
10.3°Preaim
729msReaction time
25.1%T opening success
32.5%CT opening success
0.27Enemies flashed / flash
0.0%Flash assists
9.15HE damage / grenade
0.39Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 728.5717ms — above the 700ms mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2733 — below the 0.5 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 25.0971% — 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.

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke9–13-0.0220%14 Aug
nuke13–80.0325%14 Aug
inferno13–40.0023%11 Aug
mirage13–90.0022%10 Aug
nuke10–13-0.0516%10 Aug
mirage13–9-0.047%9 Aug
nuke13–60.0724%9 Aug
inferno6–13-0.0821%8 Aug
inferno13–6-0.126%8 Aug
mirage3–13-0.0524%8 Aug
vertigo13–11-0.0014%8 Aug
inferno7–13-0.1035%8 Aug
inferno13–8-0.0816%7 Aug
nuke4–13-0.0232%7 Aug
inferno6–13-0.0218%6 Aug
nuke13–10-0.0125%6 Aug
mirage13–8-0.0114%6 Aug
mirage13–90.0324%3 Aug
ancient13–9-0.0525%3 Aug
nuke2–130.0229%3 Aug
vertigo13–50.1823%3 Aug
ancient13–11-0.0024%3 Aug
dust25–13-0.0817%3 Aug
inferno9–13-0.0114%8 Mar
inferno13–7-0.0120%8 Mar
ancient2–13-0.0410%8 Mar
mirage3–13-0.0319%24 Feb
ancient11–13-0.0421%14 Feb
ancient13–10-0.0237%14 Feb
mirage3–13-0.1013%14 Feb
mirage11–13-0.0326%8 Feb
nuke8–13-0.0116%3 Feb
anubis13–11-0.0522%2 Feb
ancient13–8-0.0411%1 Feb
mirage13–10-0.0417%1 Feb
mirage13–3-0.0312%31 Jan
ancient7–13-0.0616%31 Jan
anubis11–13-0.0220%30 Jan
ancient7–13-0.0114%30 Jan
anubis8–13-0.0416%30 Jan
inferno12–12-0.0422%29 Jan
mirage5–13-0.0310%29 Jan
overpass13–100.0426%29 Jan
anubis7–130.0328%27 Jan
anubis11–13-0.0522%27 Jan
mirage16–120.0116%26 Jan
anubis2–13-0.0517%26 Jan
nuke9–130.0224%26 Jan
ancient2–13-0.0411%26 Jan
ancient5–13-0.029%26 Jan
inferno10–13-0.0519%25 Jan
mirage8–13-0.0125%25 Jan
anubis13–80.0326%25 Jan
inferno12–12-0.0026%25 Jan
vertigo5–13-0.1113%25 Jan
mirage13–60.1123%19 Jan
mirage13–80.0139%18 Jan
mirage13–50.1329%18 Jan
ancient1–130.0118%18 Jan
nuke12–12-0.0424%18 Jan
ancient13–6-0.0328%18 Jan
nuke13–50.0328%18 Jan
inferno11–13-0.0514%18 Jan
inferno12–12-0.0124%15 Jan
inferno13–5-0.0629%15 Jan
vertigo4–13-0.0422%10 Jan
inferno13–70.0333%10 Jan
vertigo3–80.0118%10 Jan
inferno13–10-0.0428%8 Jan
anubis13–10.0526%8 Jan
ancient7–13-0.0333%8 Jan
inferno13–10-0.0230%8 Jan
nuke13–90.0022%7 Jan
mirage4–13-0.0026%6 Jan
ancient3–13-0.0611%6 Jan
inferno13–5-0.0712%3 Jan
mirage13–11-0.0215%3 Jan
mirage13–7-0.089%3 Jan
mirage12–12-0.0416%2 Jan
inferno13–70.0817%1 Jan
train7–13-0.0226%1 Jan
nuke13–7-0.0327%1 Jan
vertigo13–7-0.0416%1 Jan
ancient13–9-0.0124%1 Jan
vertigo13–8-0.0414%1 Jan
vertigo13–90.0021%1 Jan
inferno13–9-0.0114%1 Jan
inferno13–3-0.0019%1 Jan
anubis11–13-0.078%30 Dec
mirage4–13-0.036%30 Dec
ancient2–13-0.0515%28 Dec
nuke1–13-0.0810%28 Dec
inferno13–6-0.0213%28 Dec
mirage13–60.0420%28 Dec
mirage12–120.0014%28 Dec
inferno11–13-0.0115%28 Dec
inferno11–130.0321%25 Dec
inferno7–130.0117%24 Dec
anubis13–11-0.0312%24 Dec
mirage13–6-0.0815%24 Dec

Match data via Leetify.

Recent teammates

Milestones

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