Albertito

Albertito — CS2 Stats

76561199874053347[U:1:1913787619]Steam profile ↗✓ No bans

112Tracked matches60%Win rate2025Tracked since
59Hours in CS
CSDB Rating5.5 SolidAll-Rounder
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Aug 2026 (48 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 112
+3.3ppWin rate · 56.7% → 60.0%

Rating over time

Premier CS Rating: 9,097 +1,586 23 Aug – 1 Jul · 19 days played
4,6509,866peak 9,86623 Aug1 Jul
9,866Peak Premier in tracked matches
45Days played since 2025-07-17

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

Performance scores

Aim58
Positioning50
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateLWLWLLWLLW

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · +0.9pp headshot accuracy · −81ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 606ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 598ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 638ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.8
Utility4.1
Positioning5.0
Opening Duels5.1

Limited utility dependence

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

s1mple

Plays most like s1mple 84% playstyle similarity

Most alike: utility contribution, 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. 628ms 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

Aim5.8
Positioning5.0
Utility4.1
Mechanics6.6
Opening Duels3.2
Win Impact8.3

Composite 5.5/10 (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 rating0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time634ms−21ms
first ⅓ avg 654ms → last ⅓ avg 634ms
Headshot accuracy19.4%+2.7%
first ⅓ avg 16.7% → last ⅓ avg 19.4%

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.

Personal bests

0.17Best match rating · 13–10 · mirage, 10 Jan →
50%Best headshot accuracy · 4–13 · mirage, 28 Aug →
469msFastest reaction time · 11–13 · overpass, 7 Mar →
13–0Biggest win · nuke, 1 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–8In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 61% over 18trainWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB3417–1750%0.01
nukeA1811–761%0.03
ancientB126–650%0.02
dust2C94–544%0.02
trainD82–625%0.02
anubisA74–357%0.07
inferno—42–250%0.02
overpass—30–30%0.00
cache—22–0100%0.02
vertigo—20–20%-0.00
brewery—11–0100%0.09

Across the last 100 tracked matches.

Lifetime stats

3,770Lifetime kills
1.06K/D · Top 50% of tracked players
195Matches
38.5%Match win rate
51.2%Headshot % · Top 25% of tracked players
0.0%Shot accuracy
372MVPs
59Hours (in match)
67Bombs planted
45Bombs defused

Most-used weapons

Lifetime map wins

255nuke
120dust2
76train
44inferno
18vertigo
1ar_shoots
1ar_baggage

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.

18.3%Headshot accuracy
31.8%Accuracy (enemy spotted)
32.1%Spray accuracy
79.8%Counter-strafing
10.0°Preaim
628msReaction time
36.0%T opening success
49.3%CT opening success
0.55Enemies flashed / flash
9.9%Flash assists
10.85HE damage / grenade
2.93Flashes / 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

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

    Flashes per match 2.932 — below the 4 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 36.0045% — below the 40% mark we flag

Spend your practice time on Train

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke7–13-0.0410%3 Sept →
dust213–30.0321%3 Sept →
mirage13–16-0.0615%4 Aug →
dust213–90.0111%4 Aug →
mirage14–16-0.0512%4 Aug →
mirage11–13-0.0115%1 Aug →
nuke13–00.0545%1 Aug →
ancient12–16-0.0425%15 Jul →
mirage9–13-0.0628%13 Jul →
cache13–110.0627%13 Jul →
ancient11–130.0633%1 Jul →
mirage13–8-0.0110%1 Jul →
mirage13–10-0.036%16 Jun →
mirage13–10.0334%16 Jun →
mirage13–80.0619%15 Jun →
ancient12–0-0.0137%15 Jun →
mirage5–13-0.0222%15 Jun →
nuke4–130.049%13 Jun →
anubis13–10.058%9 Jun →
mirage10–130.0221%9 Jun →
vertigo3–13-0.0910%5 Jun →
cache13–6-0.0223%30 Apr →
mirage13–50.017%22 Apr →
anubis13–6-0.049%19 Apr →
nuke13–80.0121%19 Apr →
mirage16–130.0518%15 Apr →
mirage13–110.0314%3 Apr →
anubis6–130.0913%31 Mar →
nuke13–90.0215%31 Mar →
mirage13–30.0729%23 Mar →
dust29–130.0124%23 Mar →
nuke8–130.0419%21 Mar →
dust25–130.0528%21 Mar →
nuke13–100.0423%15 Mar →
mirage13–50.0415%15 Mar →
mirage11–13-0.0432%15 Mar →
dust23–13-0.0917%15 Mar →
anubis13–160.0916%14 Mar →
nuke6–130.0622%14 Mar →
nuke13–100.0819%14 Mar →
ancient13–11-0.0946%14 Mar →
ancient15–150.0520%13 Mar →
dust213–70.0326%12 Mar →
dust28–130.0619%10 Mar →
ancient4–130.0212%10 Mar →
mirage11–13-0.0218%9 Mar →
anubis13–100.1617%8 Mar →
nuke9–13-0.0327%7 Mar →
overpass11–13-0.0617%7 Mar →
ancient13–20.1622%7 Mar →
anubis13–50.0113%3 Mar →
anubis7–130.1217%3 Mar →
mirage10–130.0316%3 Mar →
mirage13–70.1121%2 Mar →
overpass8–13-0.0423%16 Jan →
mirage3–13-0.0333%16 Jan →
overpass9–130.1128%10 Jan →
mirage13–100.1726%10 Jan →
train11–130.1621%10 Jan →
nuke13–70.1225%10 Jan →
train3–130.0328%7 Jan →
ancient13–90.0126%6 Jan →
mirage13–20.1015%6 Jan →
mirage5–13-0.0812%2 Sept →
mirage4–130.0150%28 Aug →
dust29–130.0119%25 Aug →
train3–130.0318%25 Aug →
mirage8–130.0018%25 Aug →
ancient13–8-0.0110%25 Aug →
nuke8–13-0.0715%23 Aug →
mirage13–10.0218%23 Aug →
nuke13–80.0718%23 Aug →
mirage9–13-0.0623%23 Aug →
nuke13–50.1333%23 Aug →
mirage11–130.0314%23 Aug →
mirage13–11-0.0919%22 Aug →
dust213–30.0424%22 Aug →
nuke13–4-0.0515%22 Aug →
ancient13–70.1317%22 Aug →
mirage13–80.0717%22 Aug →
mirage13–40.0420%4 Aug →
ancient8–13-0.0821%4 Aug →
nuke13–40.0218%31 Jul →
mirage6–13-0.0014%30 Jul →
brewery9–50.099%30 Jul →
inferno9–10.1512%30 Jul →
nuke4–9-0.0322%30 Jul →
train13–10-0.0417%29 Jul →
inferno13–7-0.0117%27 Jul →
mirage13–20.0518%27 Jul →
mirage1–13-0.0618%25 Jul →
inferno5–13-0.0510%25 Jul →
train13–40.0118%25 Jul →
nuke9–70.1314%25 Jul →
inferno2–9-0.0111%25 Jul →
ancient5–130.007%17 Jul →
train5–130.0826%17 Jul →
train2–13-0.0714%17 Jul →
train3–13-0.0413%17 Jul →
vertigo8–80.0811%17 Jul →

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 →

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