ALECSAxmyR`

ALECSAxmyR` — CS2 Stats

76561198038716604[U:1:78450876]Steam profile ↗✓ No bans

3,034Tracked matches47%Win rate2020Tracked since
CSDB Rating4.6 Developing
FaceitLevel 9 · 1,866 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGALECSAxmyR`FACEITLevel 9 · 1,866 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim58
Positioning48
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY4357Last 10043%Win rateWWLWWLLLLL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

Aim5.8
Aggression4.3
Utility5.6
Positioning4.8
Opening Duels0.3
Clutch3.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 85% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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. 643ms 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
Positioning4.8
Utility5.6
Mechanics5.5
Opening Duels0.6
Win Impact3.9

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time657ms+65ms
first ⅓ avg 592ms → last ⅓ avg 657ms
Headshot accuracy18.3%−1.4%
first ⅓ avg 19.7% → last ⅓ avg 18.3%

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.

Highlights

0.20Best rating — poseidon 9–3
132Biggest win — dust2
4Longest win streak
W2Current streak
99In matches decided by ≤2 rounds
16Overtime games

Map breakdown

anubisBest map · 57% over 14infernoWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
dust2B189950%-0.01
infernoD1551033%-0.02
anubisA148657%-0.00
nukeB147750%-0.01
ancientC145936%-0.02
mirageD124833%-0.02
cache42250%-0.02
overpass41325%-0.03
poseidon21150%0.10
train2020%-0.04
rooftop110100%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,231Matches
50%Win rate
0.94Avg K/D
68.7ADR
42%Headshot %

Clutches & streaks

38%1v1 clutch win
18%1v2 clutch win
13Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust253150%0.9513.9
Inferno48853%0.9814.1
Mirage46048%0.9013.8
Ancient44349%0.9413.9
Anubis39648%0.9514.4
Nuke22954%0.9814.5
Overpass8546%0.8512.4
Vertigo8051%0.9113.9

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.

18.1%Headshot accuracy
33.6%Accuracy (enemy spotted)
38.0%Spray accuracy
74.9%Counter-strafing
10.7°Preaim
643msReaction time
28.0%T opening success
34.4%CT opening success
0.47Enemies flashed / flash
4.9%Flash assists
9.05HE damage / grenade
11.58Flashes / 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 0.4737 — 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 27.9551% — below the 40% mark we flag

Spend your practice time on Inferno

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

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–100.0520%6 Aug
cache13–8-0.0319%6 Aug
mirage9–13-0.0524%5 Aug
anubis13–11-0.0421%5 Aug
nuke16–140.0727%23 Jul
nuke11–13-0.0515%3 Jul
anubis2–13-0.0426%1 Jul
overpass11–130.0115%30 Jun
mirage4–13-0.059%20 Jun
dust210–13-0.0322%20 Jun
anubis13–110.0326%17 Jun
nuke13–8-0.0118%17 Jun
anubis10–13-0.0611%17 Jun
ancient7–13-0.0324%14 Jun
nuke4–13-0.0111%11 Jun
dust216–19-0.0410%4 Jun
anubis8–13-0.0413%3 Jun
inferno4–13-0.048%3 Jun
inferno12–16-0.0416%1 Jun
ancient13–6-0.0114%1 Jun
nuke13–30.0325%1 Jun
poseidon9–30.2032%31 May
inferno13–80.0116%30 May
dust26–13-0.063%30 May
anubis7–130.0028%29 May
anubis13–70.1614%25 May
cache13–10-0.0323%25 May
dust213–90.0316%22 May
mirage13–110.0218%21 May
poseidon6–90.0016%18 May
nuke13–10-0.0417%18 May
cache8–130.0132%18 May
inferno8–13-0.0617%9 May
ancient13–10-0.0519%9 May
anubis13–9-0.0615%8 May
overpass5–13-0.0517%5 May
nuke6–13-0.0415%4 May
nuke19–16-0.0223%1 May
cache6–13-0.0211%24 Apr
dust213–20.0311%22 Apr
mirage13–16-0.0712%19 Apr
ancient6–13-0.0512%18 Apr
nuke13–8-0.0311%13 Apr
dust213–4-0.0020%13 Apr
ancient19–16-0.0427%10 Apr
mirage13–9-0.0126%9 Apr
mirage7–13-0.0533%9 Apr
ancient16–13-0.0218%5 Apr
inferno5–13-0.0313%4 Apr
anubis13–6-0.0220%3 Apr
inferno6–13-0.0418%20 Mar
dust213–50.1018%10 Mar
inferno8–13-0.0830%28 Feb
ancient11–130.0619%27 Feb
anubis10–130.0422%26 Feb
anubis13–50.0626%22 Feb
dust210–13-0.0538%20 Feb
inferno10–13-0.0012%19 Feb
mirage13–30.0817%13 Feb
anubis13–90.0218%30 Jan
inferno13–110.0416%30 Jan
anubis12–16-0.0410%21 Jan
nuke11–13-0.0114%13 Jan
dust213–6-0.0112%13 Jan
anubis13–8-0.0513%11 Jan
dust210–13-0.0115%10 Jan
inferno13–7-0.028%8 Jan
ancient9–13-0.0120%4 Jan
mirage17–19-0.0524%2 Jan
mirage13–60.0218%29 Dec
rooftop9–7-0.0418%28 Dec
dust216–13-0.0219%27 Dec
nuke4–13-0.0115%26 Dec
inferno11–13-0.0325%26 Dec
ancient19–22-0.0314%26 Dec
inferno14–16-0.0120%26 Dec
overpass8–13-0.0319%23 Dec
inferno13–70.0521%22 Dec
train14–16-0.0312%7 Dec
ancient6–13-0.0413%4 Dec
overpass13–6-0.0524%16 Nov
ancient13–110.0318%16 Nov
nuke13–11-0.0223%15 Nov
dust213–11-0.0413%15 Nov
mirage5–13-0.0415%8 Nov
mirage8–13-0.0127%5 Nov
dust21–13-0.0730%31 Oct
dust219–150.0428%25 Oct
dust230–340.0119%22 Oct
ancient5–130.0111%8 Oct
ancient11–13-0.0313%24 Sept
mirage6–13-0.0323%18 Sept
nuke7–13-0.0032%18 Sept
dust25–13-0.0418%17 Sept
inferno16–120.0320%16 Sept
train10–13-0.0617%14 Sept
dust26–13-0.0110%12 Sept
nuke9–130.0319%12 Sept
ancient3–13-0.0524%12 Sept
inferno4–13-0.0227%5 Sept

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →