Alexus ☯

Alexus ☯ — CS2 Stats

ES76561199206270986[U:1:1246005258]Steam profile ↗✓ No bans

813Tracked matches47%Win rate2021Tracked since
1,215Hours in CS8Hrs last 2 wks
CSDB Rating5.1 DevelopingAll-Rounder
FaceitLevel 6 · 1,427 ELOTop 54.0% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 12,051 -321 21 Dec – 9 Jan · 6 days played
11,66612,372peak 12,37221 Dec9 Jan
12,372Peak Premier in tracked matches
1,427Highest Faceit ELO seen on CSDB
51Days played since 2025-12-21

Faceit ELO

  • At peak — 1,427
  • Next: Level 8 at 1,531 — 104 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

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 Level 6 among CSDB-tracked players (n=13,496), 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 playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate48.1%44.8%45.7%above
Shot accuracy10.2%12.4%12.7%2.5% short
Kill/death ratio0.901.031.050.15 short
Match win rate44.4%45.2%45.7%1.3% short

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAlexus ☯FACEITLevel 6 · 1,427 ELOSTANDINGTop 54.0% of rankedPEAK ELO1,427csdb.gg/stats

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Performance scores

Aim79
Positioning46
Utility52

0–100 skill scores via Leetify.

Recent form

HOT56–36–8Last 10056%Win rateLWWWLWWWWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −6.7pp headshot accuracy · +29ms reaction

Win rate up 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

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 630ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 578ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 564ms

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.

Aim7.9
Utility5.2
Positioning4.6
Opening Duels4.0
Clutch4.0

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

device

Plays most like device 90% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning profile; lower opening-duel success.

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

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 52% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 591ms 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

Aim7.9
Positioning4.6
Utility5.2
Mechanics6.0
Opening Duels3.3
Win Impact3.9

Composite 5.1/10 (Developing), 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 rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time584ms−10ms
first ⅓ avg 594ms → last ⅓ avg 584ms
Headshot accuracy20.0%+2.3%
first ⅓ avg 17.6% → last ⅓ avg 20.0%

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

0.30Best match rating · 9–3 · nuke, 8 Jan →
50%Best headshot accuracy · 9–0 · inferno, 17 Sept →
359msFastest reaction time · 9–0 · inferno, 17 Sept →
13–2Biggest win · inferno, 26 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
10–4In matches decided by ≤2 rounds
10Overtime games

Map breakdown

overpassBest map · 82% over 11dust2Weakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
infernoA3419–1556%0.01
mirageB2211–1150%0.01
dust2C135–838%0.01
overpassS119–282%-0.03
nukeB63–350%0.05
ancientA53–260%0.01
vertigo—43–175%0.05
anubis—21–150%-0.02
cache—11–0100%-0.03
poseidon—10–10%-0.05
sanctum—11–0100%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

34,674Lifetime kills
0.90K/D
1,317Matches
44.4%Match win rate
48.1%Headshot % · Top 50% of Level 6 players
10.2%Shot accuracy
8,041MVPs
1,453Hours (in match)
1,592Bombs planted
1,093Bombs defused

Most-used weapons

AK-4712,353
AWP4,009
Knife892
MP9839

Lifetime map wins

8,483inferno
2,117dust2
896nuke
759vertigo
431train
215cbble
4italy
1ar_shoots

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

Faceit stats

Combat

693Matches
47%Win rate
0.94Avg K/D
74.2ADR
44%Headshot %

Clutches & streaks

40%1v1 clutch win
23%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage14758%1.0314.6
Inferno7663%1.0214.8
Dust26943%1.0516.4
Ancient5542%1.0215.8
Anubis3743%0.9614.3
Nuke1362%0.9615.1
Overpass1258%1.2216.9
Train20%0.6810.0

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.

17.5%Headshot accuracy
38.7%Accuracy (enemy spotted)
44.5%Spray accuracy
76.9%Counter-strafing
9.0°Preaim
591msReaction time
33.9%T opening success
52.2%CT opening success
0.46Enemies flashed / flash
4.9%Flash assists
9.15HE damage / grenade
10.98Flashes / 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 0.459 — 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 33.874% — below the 40% mark we flag

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage10–13-0.036%1 Nov →
mirage13–5-0.0012%1 Nov →
inferno13–8-0.0511%1 Nov →
cache13–6-0.037%1 Nov →
inferno7–13-0.027%23 Oct →
inferno9–00.0950%17 Sept →
overpass9–70.039%12 Sept →
vertigo9–7-0.0112%10 Sept →
inferno9–20.1441%10 Sept →
dust216–120.0323%2 Sept →
inferno2–9-0.0942%31 Aug →
nuke9–30.0513%27 Aug →
dust26–13-0.0319%26 Aug →
inferno13–20.0118%26 Aug →
inferno12–20.0722%26 Aug →
inferno9–30.2325%22 Aug →
inferno9–30.0425%22 Aug →
inferno4–9-0.1038%22 Aug →
inferno16–13-0.0516%25 Jul →
anubis1–13-0.1226%25 Jul →
mirage13–80.0819%25 Jul →
dust213–110.0811%24 Jul →
inferno6–9-0.0911%20 Jul →
inferno9–50.0933%20 Jul →
inferno1–9-0.1713%20 Jul →
dust25–130.0330%30 Jun →
dust27–10-0.0313%30 Jun →
nuke6–9-0.025%30 Jun →
mirage13–20.0021%30 Jun →
dust29–130.0122%29 Jun →
inferno13–8-0.0217%28 Jun →
overpass13–4-0.0219%28 Jun →
mirage10–13-0.0423%28 Jun →
ancient5–13-0.0422%28 Jun →
inferno3–13-0.085%28 Jun →
inferno5–13-0.0413%28 Jun →
mirage4–13-0.0719%26 Jun →
inferno8–13-0.0216%24 Jun →
inferno8–130.0416%23 Jun →
dust213–4-0.0527%15 Jun →
dust28–130.0325%11 Jun →
inferno9–20.1513%31 May →
mirage14–160.0717%31 May →
mirage13–80.1327%31 May →
mirage15–15-0.0425%30 May →
inferno4–13-0.0820%30 May →
vertigo9–70.1018%27 May →
nuke8–80.0826%27 May →
mirage13–20.0213%27 May →
nuke6–9-0.1026%17 Mar →
overpass5–9-0.1913%17 Mar →
overpass8–8-0.074%11 Mar →
overpass9–6-0.1612%11 Mar →
dust213–100.0429%11 Mar →
inferno8–8-0.0410%11 Mar →
inferno9–70.0316%11 Mar →
inferno8–80.059%10 Mar →
overpass9–40.0717%10 Mar →
overpass9–6-0.0619%10 Mar →
overpass9–30.1612%9 Mar →
overpass9–3-0.006%8 Mar →
poseidon6–9-0.0519%8 Mar →
sanctum9–50.028%8 Mar →
vertigo9–30.028%8 Mar →
inferno9–20.1025%25 Feb →
overpass13–11-0.0730%25 Feb →
inferno11–130.0215%25 Feb →
dust216–190.0523%24 Feb →
ancient6–10.0623%20 Feb →
mirage7–130.0115%19 Feb →
inferno13–90.0113%12 Feb →
inferno13–100.0514%12 Feb →
inferno13–10-0.0321%11 Feb →
ancient6–13-0.0115%2 Feb →
mirage13–80.057%2 Feb →
anubis13–110.0818%1 Feb →
ancient13–50.0417%1 Feb →
mirage4–13-0.0419%30 Jan →
overpass13–9-0.045%9 Jan →
nuke9–30.3033%8 Jan →
vertigo8–80.0917%8 Jan →
inferno6–130.0119%7 Jan →
mirage13–4-0.0231%4 Jan →
mirage6–13-0.027%4 Jan →
mirage16–140.0311%1 Jan →
inferno13–70.0314%30 Dec →
mirage13–100.0221%29 Dec →
inferno13–90.0415%29 Dec →
mirage19–150.0113%26 Dec →
inferno13–7-0.0319%26 Dec →
dust213–110.0621%26 Dec →
mirage15–150.0325%26 Dec →
dust29–13-0.0324%25 Dec →
mirage16–14-0.0316%25 Dec →
nuke13–90.0121%25 Dec →
mirage8–130.1011%25 Dec →
dust211–13-0.0631%24 Dec →
inferno15–150.0114%23 Dec →
ancient13–7-0.0016%22 Dec →
mirage11–130.0312%21 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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