FokusAleks

FokusAleks — CS2 Stats

76561199239082638[U:1:1278816910]Steam profile ↗✓ No bans

103Tracked matches38%Win rate2025Tracked since
264Hours in CS3Hrs last 2 wks
CSDB Rating3.5 LearningClutch Specialist
Premier CS Rating9,117Light Blue band · top ~59.1% of ranked players (population est.)
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (14 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 9,117 -3,330 5 Jun – 18 Sept · 16 days played
9,11712,447peak 12,4475 Jun18 Sept
12,963Peak Premier in tracked matches
33Days played since 2026-01-02

Premier CS Rating

  • 3,330 below peak (12,447)
  • -1,956 over 30 days · declining
  • Next: Blue band at 10,000 — 883 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-05
  • Light Blue band first seen 2026-09-05

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

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLight Blue band medianBlue band medianvs Blue band
Headshot rate39.9%39.9%41.9%2.1% short
Shot accuracy0.1%7.0%9.6%9.5% short
Kill/death ratio0.740.920.980.23 short
Match win rate43.8%42.3%43.8%meets

This profile matches the typical Blue band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFokusAleksPREMIER9,117 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim44
Positioning39
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateWLLWWWTLLW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −1.3pp headshot accuracy · −13ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 686ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 677ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 683ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+5.2 against its own average).

Aim4.4
Utility4.9
Positioning3.9
Opening Duels0.4
Clutch10.0

Strong CT-side openerReliable in 1v1s

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

Twistzz

Plays most like Twistzz 74% playstyle similarity

Most alike: positioning profile, opening-duel success.

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 41% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 661ms 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

Aim4.4
Positioning3.9
Utility4.9
Mechanics5.6
Opening Duels1.4
Win Impact1.0

Composite 3.5/10 (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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time654ms−29ms
first ⅓ avg 683ms → last ⅓ avg 654ms
Headshot accuracy14.7%+0.7%
first ⅓ avg 14.0% → last ⅓ avg 14.7%

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.

Personal bests

0.17Best match rating · 8–12 · dust2, 2 Jan →
56%Best headshot accuracy · 0–10 · mirage, 4 Jun →
281msFastest reaction time · 1–13 · dust2, 2 Sept →
13–1Biggest win · inferno, 30 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
3–5In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 71% over 7mirageWeakest map · 33% over 21
MapGradePlayedRecordWin rateAvg rating
dust2B2913–1645%-0.03
infernoB2111–1052%-0.00
mirageD217–1433%-0.05
nukeA85–363%-0.04
anubisS75–271%-0.03
cache—42–250%-0.05
office—33–0100%-0.04
vertigo—32–167%-0.06
ancient—21–150%-0.05
train—11–0100%0.01
overpass—10–10%-0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 21). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

4,935Lifetime kills
0.74K/D
404Matches
43.8%Match win rate · Top 50% of Light Blue band
39.9%Headshot %
0.1%Shot accuracy
641MVPs
130Hours (in match)
356Bombs planted
66Bombs defused

Most-used weapons

Lifetime map wins

1,095dust2
686inferno
287nuke
166vertigo
111office
74train
3ar_shoots
1ar_baggage

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

Faceit stats

Combat

1Matches
100%Win rate
0.86Avg K/D
11.9ADR
33%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

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.

13.4%Headshot accuracy
31.3%Accuracy (enemy spotted)
33.1%Spray accuracy
75.1%Counter-strafing
9.9°Preaim
661msReaction time
22.5%T opening success
41.2%CT opening success
0.60Enemies flashed / flash
6.5%Flash assists
11.87HE damage / grenade
6.68Flashes / 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 13.4402% — 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 22.5084% — below the 40% mark we flag

Spend your practice time on Mirage

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

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–6-0.0427%18 Sept →
dust23–6-0.160%18 Sept →
dust24–13-0.057%18 Sept →
anubis13–8-0.0512%18 Sept →
inferno9–30.1133%18 Sept →
anubis13–100.019%16 Sept →
anubis12–12-0.0113%16 Sept →
anubis11–130.0211%16 Sept →
mirage3–13-0.088%14 Sept →
inferno9–50.0318%14 Sept →
dust24–13-0.0230%11 Sept →
dust27–13-0.126%8 Sept →
mirage13–5-0.0014%8 Sept →
inferno9–60.029%8 Sept →
dust21–13-0.0913%7 Sept →
nuke13–100.0111%7 Sept →
anubis13–2-0.0812%7 Sept →
dust211–13-0.0213%7 Sept →
inferno9–20.1015%7 Sept →
inferno9–10.0629%7 Sept →
dust28–13-0.0515%6 Sept →
inferno4–13-0.0717%6 Sept →
dust28–10-0.0325%6 Sept →
inferno11–13-0.0113%5 Sept →
inferno8–13-0.058%5 Sept →
dust213–100.007%5 Sept →
dust213–80.0018%5 Sept →
inferno9–10.0627%5 Sept →
mirage5–13-0.0519%4 Sept →
dust213–90.0212%4 Sept →
nuke13–8-0.0410%4 Sept →
mirage2–130.018%3 Sept →
dust29–13-0.0617%3 Sept →
nuke8–13-0.0720%3 Sept →
dust216–120.0210%3 Sept →
mirage9–13-0.0317%3 Sept →
dust213–4-0.036%3 Sept →
dust21–13-0.0333%2 Sept →
dust213–20.0516%2 Sept →
dust26–13-0.0814%2 Sept →
office13–10-0.0415%2 Sept →
office13–9-0.0329%2 Sept →
office13–7-0.0413%2 Sept →
dust24–13-0.0624%1 Sept →
mirage0–13-0.0733%1 Sept →
ancient13–9-0.0219%1 Sept →
mirage13–9-0.0529%1 Sept →
cache13–16-0.0912%1 Sept →
mirage13–7-0.0810%1 Sept →
inferno8–80.0322%1 Sept →
inferno13–50.0028%31 Aug →
dust25–100.0241%31 Aug →
cache13–10-0.0513%31 Aug →
dust213–3-0.0113%31 Aug →
inferno13–7-0.0313%31 Aug →
nuke9–13-0.0814%29 Aug →
dust215–15-0.0111%29 Aug →
mirage7–13-0.0730%29 Aug →
inferno13–5-0.0113%29 Aug →
inferno4–9-0.1330%29 Aug →
ancient7–13-0.0716%27 Aug →
mirage3–10-0.0717%27 Aug →
dust213–2-0.0115%27 Aug →
nuke13–10-0.0528%27 Aug →
mirage2–13-0.0515%27 Aug →
dust26–1-0.0550%27 Aug →
dust213–3-0.0027%26 Aug →
mirage12–12-0.0617%26 Aug →
cache13–11-0.047%26 Aug →
mirage13–6-0.0913%24 Aug →
inferno11–13-0.0613%23 Aug →
mirage4–13-0.0713%20 Aug →
mirage16–140.0116%19 Aug →
dust212–16-0.1115%18 Aug →
inferno3–13-0.045%18 Aug →
train13–110.0115%18 Aug →
mirage5–130.0013%5 Jun →
mirage13–2-0.115%5 Jun →
inferno9–30.0218%5 Jun →
mirage0–10-0.0556%4 Jun →
overpass0–13-0.090%3 Jun →
inferno4–13-0.1116%3 Jun →
nuke13–9-0.0714%3 Jun →
inferno6–13-0.0511%31 May →
inferno13–10.0619%30 May →
mirage3–13-0.1033%30 May →
dust213–4-0.0014%29 May →
dust213–60.028%29 May →
cache3–13-0.0112%17 May →
anubis13–6-0.0826%17 May →
nuke5–13-0.029%22 Feb →
mirage7–13-0.0416%22 Feb →
anubis13–9-0.0510%13 Feb →
mirage13–3-0.0017%13 Feb →
vertigo13–6-0.059%13 Jan →
vertigo13–5-0.059%7 Jan →
nuke13–2-0.0311%7 Jan →
vertigo4–13-0.090%2 Jan →
dust28–120.1712%2 Jan →
inferno3–130.0513%2 Jan →

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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