Aleksiq

Aleksiq — CS2 Stats

FI76561198054389904[U:1:94124176]Steam profile ↗✓ No bans

3,286Tracked matches57%Win rate2020Tracked since
CSDB Rating6.6 SolidPositional Player
FaceitLevel 10 · 3,006 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Aug 2026 (52 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 3,006 → 3,006
+125Tracked matches · now 3,286
+3.3ppWin rate · 53.3% → 56.7%

Rating over time

3,006Highest Faceit ELO seen on CSDB
83Days played since 2024-04-02

Faceit ELO

  • At peak — 3,006
  • Next: 3,500 ELO at 3,500 — 494 to go
  • Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
  • 3,000 ELO first seen 2026-08-30
  • 2,500 ELO first seen 2026-08-30

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGAleksiqFACEITLevel 10 · 3,006 ELOSTANDINGTop 12.4% of rankedPEAK ELO3,006csdb.gg/stats

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Performance scores

Aim81
Positioning52
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY49–51Last 10049%Win rateWLWWWWLLLW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −3.0pp headshot accuracy · −21ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 29%
  • Avg reaction 528ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 570ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 581ms

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: Positional Player — Positioning stands above the rest of this profile (+0.8 against its own average).

Aim8.1
Utility4.3
Positioning5.2
Opening Duels4.0
Clutch4.0

Effective flashes

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

m0NESY

Plays most like m0NESY 93% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning 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.

T-side openings. Opening success drops from 53% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 570ms 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

Aim8.1
Positioning5.2
Utility4.3
Mechanics8.0
Opening Duels2.8
Win Impact7.2

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time579ms−22ms
first ⅓ avg 602ms → last ⅓ avg 579ms
Headshot accuracy21.5%−1.7%
first ⅓ avg 23.2% → last ⅓ avg 21.5%

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

0.13Best match rating · 11–13 · ancient, 11 Apr →
53%Best headshot accuracy · 1–13 · ancient, 4 Oct →
391msFastest reaction time · 3–13 · train, 29 May →
13–2Biggest win · mirage, 23 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
11–5In matches decided by ≤2 rounds
12Overtime games

Map breakdown

vertigoBest map · 71% over 7ancientWeakest map · 40% over 20
MapGradePlayedRecordWin rateAvg rating
mirageB2915–1452%0.00
ancientC208–1240%-0.00
dust2B189–950%-0.02
trainC73–443%-0.02
infernoC73–443%-0.02
vertigoS75–271%-0.05
nukeS64–267%-0.03
overpass—31–233%-0.01
anubis—20–20%-0.02
cache—11–0100%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 20). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

9,095Matches
52%Win rate
1.09Avg K/D
78.5ADR
57%Headshot %

Clutches & streaks

40%1v1 clutch win
18%1v2 clutch win
14Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage89157%1.0715.5
Ancient39850%1.0215.1
Dust228249%1.0214.4
Vertigo17858%1.0615.3
Nuke17647%1.0315.3
Overpass17361%1.1416.1
Train16061%1.1615.7
Inferno12052%0.9614.1

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.

20.5%Headshot accuracy
33.9%Accuracy (enemy spotted)
40.4%Spray accuracy
86.2%Counter-strafing
9.0°Preaim
570msReaction time
28.6%T opening success
52.5%CT opening success
0.71Enemies flashed / flash
4.8%Flash assists
8.05HE damage / grenade
12.88Flashes / 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. 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 28.56% — 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.

40% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage22–190.0117%5 Oct →
ancient1–13-0.0653%4 Oct →
cache13–6-0.0226%18 Sept →
dust213–70.0117%16 Sept →
mirage19–150.0330%13 Aug →
mirage13–70.0115%14 Feb →
dust27–13-0.0113%13 Feb →
dust25–13-0.1013%27 Jan →
mirage7–130.0525%2 Dec →
dust213–4-0.0620%27 Nov →
train19–150.0219%9 Oct →
nuke13–11-0.0629%19 Sept →
mirage10–130.0115%18 Sept →
overpass4–13-0.0145%23 Aug →
mirage13–2-0.0033%23 Aug →
train13–110.0733%21 Aug →
mirage6–130.0220%15 Aug →
train13–3-0.0517%5 Aug →
mirage11–13-0.0111%14 Jun →
mirage10–13-0.0336%31 May →
ancient1–13-0.088%29 May →
mirage13–90.0411%29 May →
train3–13-0.0520%29 May →
ancient13–10-0.0311%29 May →
ancient13–80.0516%24 May →
train5–13-0.0812%15 May →
ancient4–13-0.1015%28 Apr →
mirage13–60.0514%22 Apr →
ancient13–40.088%13 Apr →
nuke16–140.0018%8 Apr →
ancient13–70.0832%19 Mar →
train1–13-0.0429%25 Feb →
dust213–16-0.0329%18 Feb →
mirage13–90.0420%17 Feb →
mirage15–19-0.0222%15 Feb →
inferno13–8-0.0314%12 Feb →
mirage13–50.0317%11 Feb →
inferno3–13-0.085%9 Feb →
ancient11–13-0.0326%7 Feb →
dust213–100.0121%28 Jan →
mirage13–40.0710%25 Jan →
inferno8–130.0118%20 Jan →
ancient13–5-0.0316%13 Jan →
dust22–13-0.0036%9 Jan →
train2–13-0.0231%7 Jan →
mirage13–11-0.0024%7 Jan →
dust26–13-0.0312%5 Jan →
dust25–13-0.0629%4 Dec →
mirage16–140.0718%3 Dec →
inferno13–8-0.0524%18 Nov →
anubis4–13-0.0316%16 Nov →
nuke10–13-0.0326%16 Nov →
mirage13–110.0213%11 Nov →
mirage16–140.0020%21 Oct →
dust213–60.0421%18 Oct →
inferno10–130.0527%16 Oct →
dust213–80.1325%14 Oct →
ancient13–60.0824%8 Oct →
mirage7–13-0.0320%20 Aug →
dust25–13-0.0410%15 Aug →
ancient13–5-0.0015%14 Aug →
ancient10–13-0.0218%14 Aug →
ancient13–16-0.0714%13 Aug →
vertigo13–7-0.0115%13 Aug →
ancient13–9-0.0314%6 Aug →
ancient4–13-0.0515%4 Aug →
mirage7–13-0.0521%4 Jun →
ancient8–130.0224%19 May →
anubis4–130.0018%19 May →
ancient10–130.0719%19 May →
nuke13–6-0.0121%16 May →
mirage4–13-0.0447%9 May →
vertigo13–9-0.0226%7 May →
ancient6–13-0.0519%7 May →
mirage7–13-0.0832%7 May →
dust213–6-0.0113%5 May →
mirage6–13-0.0532%4 May →
dust216–130.0121%3 May →
ancient11–13-0.0416%3 May →
mirage13–110.0025%3 May →
nuke6–13-0.0818%2 May →
dust213–8-0.0522%1 May →
dust24–13-0.0725%30 Apr →
dust213–11-0.0535%27 Apr →
dust213–16-0.0624%27 Apr →
mirage8–13-0.0420%26 Apr →
vertigo13–11-0.0424%24 Apr →
mirage13–60.0022%19 Apr →
vertigo9–13-0.0914%18 Apr →
inferno13–4-0.0015%16 Apr →
ancient11–130.1326%11 Apr →
overpass13–60.0522%11 Apr →
mirage11–13-0.0310%10 Apr →
inferno7–13-0.0520%9 Apr →
vertigo5–13-0.1325%8 Apr →
overpass6–13-0.0715%5 Apr →
vertigo16–140.0129%5 Apr →
nuke13–6-0.0337%4 Apr →
vertigo13–10-0.0417%3 Apr →
mirage10–130.0133%2 Apr →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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