Albercino

Albercino — CS2 Stats

76561198118744419[U:1:158478691]Steam profile ↗✓ No bans

68Tracked matches52%Win rate2022Tracked since
CSDB Rating5.7 SolidAll-Rounder
CSDB Leaderboard#81864 of 231956 tracked
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 36 days played since 2 Jun 2022. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 19,662 -880 5 Apr10 Jun · 2 days played
19,66220,542peak 20,5425 Apr10 Jun
20,542Peak Premier in tracked matches
36Days played since 2022-06-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim60
Positioning56
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY32255Last 6252%Win rateLLLWLLWWLW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −3.2pp headshot accuracy · −37ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 14 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 559ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 555ms

Last 20

  • 1082 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 573ms

Newest first, from the last 62 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-RounderNo style dimension stands clear of the others in this profile.

Aim6.0
Utility6.0
Positioning5.6
Opening Duels4.9

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

jL

Plays most like jL 77% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

T-side openings. Opening success drops from 56% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 576ms 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

Aim6.0
Positioning5.6
Utility6.0
Mechanics5.9
Opening Duels4.3
Win Impact5.6

Composite 5.7/10 (Solid), 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 rating0.00−0.03
first ⅓ avg 0.03 → last ⅓ avg 0.00
Reaction time573ms−41ms
first ⅓ avg 614ms → last ⅓ avg 573ms
Headshot accuracy17.3%−0.8%
first ⅓ avg 18.1% → last ⅓ avg 17.3%

Rolling 5-match average across the last 62 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.17Best match rating · 7–9 · assembly, 22 Sept
48%Best headshot accuracy · 2–13 · inferno, 2 Mar
453msFastest reaction time · 13–7 · mirage, 17 Aug
16–3Biggest win · mirage, 9 Jun

Across the last 62 tracked matches.

Highlights

5Longest win streak
L3Current streak
66In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 60% over 10infernoWeakest map · 46% over 13
MapGradePlayedRecordWin rateAvg rating
mirageB158753%0.00
infernoB136746%0.02
nukeA106460%0.02
dust2B84450%0.01
cacheA74357%0.02
overpass32167%0.02
anubis2020%0.03
ancient220100%0.02
memento1010%-0.21
assembly1010%0.17

Across the last 62 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (46% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

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

19.4%Headshot accuracy
29.6%Accuracy (enemy spotted)
28.5%Spray accuracy
76.5%Counter-strafing
8.4°Preaim
576msReaction time
38.3%T opening success
56.5%CT opening success
0.50Enemies flashed / flash
10.6%Flash assists
13.80HE damage / grenade
7.88Flashes / 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. 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 0.4954 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 38.292% — 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.

46% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.0517%11 Sept
dust28–130.0110%11 Sept
mirage14–160.0123%19 Aug
mirage13–70.0016%17 Aug
cache9–13-0.0212%17 Aug
dust211–13-0.0319%7 Aug
inferno13–4-0.008%7 Aug
inferno13–70.0120%7 Aug
mirage6–13-0.0315%24 Jun
dust216–140.0318%10 Jun
nuke15–15-0.0322%25 May
cache13–40.054%22 May
inferno4–13-0.0413%22 May
cache13–4-0.0015%22 May
cache12–120.0022%15 May
cache13–60.0424%13 May
cache13–110.0221%13 May
cache10–130.0310%13 May
nuke16–13-0.0230%5 Apr
inferno13–70.0228%5 Apr
overpass13–110.0210%5 Apr
inferno11–130.0122%27 Mar
mirage13–10-0.0135%27 Mar
nuke6–13-0.0019%25 Mar
anubis15–150.0225%25 Mar
mirage1–13-0.1017%16 Mar
mirage13–90.1220%16 Mar
inferno2–130.0148%2 Mar
ancient13–40.0215%24 Feb
mirage4–13-0.0616%24 Feb
ancient13–50.0318%22 Feb
dust213–60.0924%21 Feb
inferno13–110.037%21 Feb
nuke13–80.0622%18 Feb
anubis10–130.0416%18 Feb
overpass8–130.0117%15 Feb
dust213–90.0522%15 Feb
inferno5–10.0112%15 Feb
nuke10–13-0.0316%13 Feb
dust26–13-0.0417%13 Feb
mirage13–50.0111%13 Feb
dust216–140.0112%29 Dec
mirage8–00.036%29 Dec
nuke13–70.0627%17 Jul
inferno13–90.0315%26 Jun
inferno12–160.1121%24 Jun
nuke13–30.0239%26 May
mirage9–13-0.0422%26 May
mirage13–70.0325%24 May
nuke13–50.1321%24 May
mirage3–130.0513%11 May
dust214–16-0.0116%6 May
mirage13–11-0.0211%23 Apr
nuke13–30.0829%23 Apr
memento0–9-0.215%22 Sept
assembly7–90.1722%22 Sept
overpass13–80.0314%20 Sept
inferno10–130.0823%20 Sept
mirage8–8-0.0610%5 Sept
nuke14–16-0.0215%12 Jun
mirage16–30.0916%9 Jun
inferno15–150.0414%2 Jun

Match data via Leetify.

Recent teammates

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