Aladin

Aladin — CS2 Stats

DE76561197974957551[U:1:14691823]Steam profile ↗VAC banned

565Tracked matches48%Win rate2022Tracked since
CSDB Rating2.7 LearningSupport
FaceitLevel 5 · 1,139 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 12,845 +2,107 9 Dec – 13 Jan · 20 days played
10,00013,310peak 13,3109 Dec13 Jan
13,543Peak Premier in tracked matches
1,139Highest Faceit ELO seen on CSDB
28Days played since 2025-12-09

Faceit ELO

  • At peak — 1,139
  • Next: Level 6 at 1,201 — 62 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2

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

Share this profile

CSDB.GGAladinFACEITLevel 5 · 1,139 ELOSTANDINGTop 67.6% of rankedPEAK ELO1,139csdb.gg/stats

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Performance scores

Aim26
Positioning37
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY53–44–3Last 10053%Win rateLWLTTWLWWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +3.3pp headshot accuracy · −2ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–2–2 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 13%
  • Avg reaction 705ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 692ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 693ms

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: Support — Utility contribution stands above the rest of this profile (+1.3 against its own average).

Aim2.6
Utility4.3
Positioning3.7
Opening Duels0.8
Clutch3.0

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

ZywOo

Plays most like ZywOo 68% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 677ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% 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

Aim2.6
Positioning3.7
Utility4.3
Mechanics2.3
Opening Duels1.0
Win Impact4.4

Composite 2.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time685ms+0ms
first ⅓ avg 685ms → last ⅓ avg 685ms
Headshot accuracy14.1%+1.3%
first ⅓ avg 12.8% → last ⅓ avg 14.1%

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

0.08Best match rating · 13–2 · dust2, 9 Dec →
39%Best headshot accuracy · 13–4 · dust2, 22 Dec →
469msFastest reaction time · 13–6 · inferno, 24 Dec →
13–1Biggest win · dust2, 22 Dec →

Across the last 100 tracked matches.

Highlights

8Longest win streak
14–7In matches decided by ≤2 rounds
20Overtime games

Map breakdown

trainBest map · 64% over 11overpassWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
dust2A3218–1456%-0.03
infernoB2613–1350%-0.05
overpassC135–838%-0.03
trainA117–464%-0.02
ancientB105–550%-0.03
nukeA53–260%-0.04
office—22–0100%-0.01
mirage—10–10%-0.04

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

75Matches
59%Win rate
0.70Avg K/D
58.7ADR
37%Headshot %

Clutches & streaks

35%1v1 clutch win
12%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust24567%0.6812.2
Inferno1050%0.7611.8
Train540%0.7011.6
Mirage540%0.5410.2
Ancient540%0.8813.6
Overpass3100%0.8312.7
Nuke20%0.548.0

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.

13.9%Headshot accuracy
29.9%Accuracy (enemy spotted)
33.5%Spray accuracy
60.4%Counter-strafing
11.6°Preaim
677msReaction time
24.6%T opening success
37.6%CT opening success
0.60Enemies flashed / flash
5.8%Flash assists
8.33HE damage / grenade
5.18Flashes / 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 13.9128% — below the 15% mark we flag

    Aim Training →
  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 24.5574% — below the 40% mark we flag

Spend your practice time on Overpass

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 13 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno5–13-0.0811%10 Mar →
inferno13–11-0.0711%10 Mar →
overpass10–13-0.079%24 Feb →
overpass15–15-0.0116%24 Feb →
ancient15–15-0.0615%17 Feb →
nuke13–11-0.0318%4 Feb →
dust20–13-0.0610%1 Feb →
dust213–11-0.0620%31 Jan →
inferno13–100.009%27 Jan →
dust213–110.0019%13 Jan →
overpass2–13-0.1310%13 Jan →
dust27–13-0.0715%11 Jan →
inferno13–16-0.088%1 Jan →
inferno13–11-0.084%31 Dec →
ancient13–80.017%26 Dec →
inferno16–13-0.0412%24 Dec →
ancient4–13-0.019%24 Dec →
inferno13–8-0.0311%24 Dec →
inferno2–13-0.1121%24 Dec →
dust25–13-0.0510%24 Dec →
inferno13–6-0.1012%24 Dec →
dust213–6-0.0124%23 Dec →
overpass10–13-0.0721%23 Dec →
inferno16–14-0.0711%23 Dec →
dust211–130.0519%23 Dec →
dust210–13-0.0514%23 Dec →
overpass15–15-0.048%23 Dec →
dust23–13-0.0712%22 Dec →
inferno6–13-0.0522%22 Dec →
dust213–4-0.0139%22 Dec →
train13–90.0121%22 Dec →
dust213–10.038%22 Dec →
dust216–13-0.0212%22 Dec →
inferno9–13-0.1013%21 Dec →
dust212–16-0.119%21 Dec →
nuke13–11-0.0215%21 Dec →
overpass11–13-0.0119%21 Dec →
dust210–13-0.0712%21 Dec →
dust213–30.0214%21 Dec →
ancient13–6-0.0515%21 Dec →
dust216–130.0016%20 Dec →
ancient13–70.0217%20 Dec →
overpass13–110.027%20 Dec →
train13–7-0.0210%20 Dec →
inferno13–4-0.0116%20 Dec →
dust213–10-0.0718%19 Dec →
train11–13-0.0710%19 Dec →
inferno13–9-0.0015%19 Dec →
overpass13–90.0219%19 Dec →
ancient5–13-0.077%19 Dec →
ancient6–13-0.075%18 Dec →
overpass13–11-0.029%18 Dec →
inferno10–13-0.0920%18 Dec →
inferno10–13-0.009%17 Dec →
ancient9–13-0.0621%17 Dec →
dust29–13-0.067%17 Dec →
train13–90.0112%16 Dec →
nuke13–11-0.0710%16 Dec →
train13–10.0314%16 Dec →
train16–14-0.0114%16 Dec →
inferno11–13-0.0312%16 Dec →
overpass16–14-0.0411%16 Dec →
dust213–10.0024%16 Dec →
train9–13-0.0711%16 Dec →
nuke14–16-0.0611%15 Dec →
inferno13–5-0.0918%15 Dec →
dust213–16-0.0110%15 Dec →
dust219–15-0.0715%15 Dec →
inferno13–80.0511%15 Dec →
overpass4–13-0.0512%14 Dec →
overpass13–10-0.042%14 Dec →
dust211–13-0.0315%14 Dec →
mirage9–13-0.049%14 Dec →
office13–70.0112%14 Dec →
office10–1-0.025%14 Dec →
overpass10–13-0.006%13 Dec →
dust213–16-0.0413%13 Dec →
dust213–6-0.0314%13 Dec →
train3–13-0.0412%12 Dec →
dust213–16-0.0515%12 Dec →
inferno7–13-0.0830%11 Dec →
train7–13-0.017%11 Dec →
ancient16–13-0.0510%11 Dec →
dust222–19-0.0316%10 Dec →
inferno7–13-0.027%10 Dec →
dust213–11-0.0311%10 Dec →
inferno8–13-0.0317%10 Dec →
inferno13–8-0.038%10 Dec →
dust216–14-0.0516%10 Dec →
train16–13-0.0317%10 Dec →
dust213–10-0.0816%10 Dec →
inferno13–70.0111%9 Dec →
nuke5–13-0.0413%9 Dec →
inferno8–130.0019%9 Dec →
dust213–9-0.0611%9 Dec →
ancient13–30.0215%9 Dec →
dust213–20.0821%9 Dec →
train13–70.0211%9 Dec →
inferno3–13-0.0718%9 Dec →
dust211–13-0.049%9 Dec →

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 →

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