-AKIR4

-AKIR4 — CS2 Stats

76561198823829263[U:1:863563535]Steam profile ↗✓ No bans

2,307Tracked matches37%Win rate2020Tracked since
CSDB Rating5.0 DevelopingHybrid Rifler
FaceitLevel 8 · 1,801 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GG-AKIR4FACEITLevel 8 · 1,801 ELOSTANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim74
Positioning47
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY4555Last 10045%Win rateLLLLWWLWWL

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.4
Aggression5.3
Utility6.7
Positioning4.7
Opening Duels0.3
Clutch3.4

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 88% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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. 586ms 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

Aim7.4
Positioning4.7
Utility6.7
Mechanics6.5
Opening Duels0.5
Win Impact0.6

Composite 5.0/10 (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 rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time592ms+20ms
first ⅓ avg 572ms → last ⅓ avg 592ms
Headshot accuracy21.0%−0.5%
first ⅓ avg 21.5% → last ⅓ avg 21.0%

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.

Highlights

0.16Best rating — mirage 13–2
130Biggest win — mirage
6Longest win streak
L4Current streak
611In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 60% over 5dust2Weakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
mirageC29121741%0.01
anubisA169756%-0.00
infernoB168850%0.02
dust2D1651131%0.01
ancientB147750%-0.01
nukeA53260%0.01
overpass2020%-0.08
boulder1010%-0.12
cache110100%0.10

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,935Matches
49%Win rate
1.08Avg K/D
77.8ADR
53%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage78647%1.0615.0
Dust250848%1.0815.6
Ancient42150%1.0314.8
Inferno41450%1.1115.5
Anubis40151%1.1415.6
Nuke17749%1.1516.0
Vertigo9160%1.2216.6
Overpass8842%0.9514.4

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.

21.0%Headshot accuracy
34.0%Accuracy (enemy spotted)
40.6%Spray accuracy
79.3%Counter-strafing
10.0°Preaim
586msReaction time
28.9%T opening success
33.8%CT opening success
0.62Enemies flashed / flash
7.3%Flash assists
9.01HE damage / grenade
11.76Flashes / 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 28.9265% — 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.

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage12–160.0118%22 Aug
mirage8–130.0313%21 Aug
anubis10–130.0135%18 Aug
boulder3–13-0.129%17 Aug
inferno13–100.0224%16 Aug
nuke13–110.0023%15 Aug
ancient10–13-0.0411%12 Aug
mirage13–10-0.0422%11 Aug
nuke13–80.0313%9 Aug
inferno5–13-0.0517%7 Aug
inferno13–20.0922%7 Aug
dust216–140.0114%7 Aug
dust211–13-0.0127%7 Aug
inferno13–20.1017%5 Aug
anubis7–13-0.0411%4 Aug
anubis5–13-0.0436%4 Aug
dust211–130.0127%1 Aug
anubis13–20.0329%30 Jul
mirage9–13-0.1227%28 Jul
nuke13–50.0726%27 Jul
dust27–13-0.0421%23 Jul
mirage10–130.0328%12 Jul
anubis3–13-0.047%10 Jul
ancient6–13-0.0517%9 Jul
mirage13–20.1626%7 Jul
dust28–130.0633%7 Jul
mirage14–16-0.0321%2 Jul
mirage5–13-0.0611%2 Jul
mirage0–13-0.1116%2 Jul
dust213–60.1224%2 Jul
mirage13–110.0821%2 Jul
dust26–130.0322%2 Jul
mirage26–280.0625%30 Jun
anubis13–4-0.0621%30 Jun
anubis16–140.0522%30 Jun
inferno9–130.0318%28 Jun
nuke11–13-0.0018%26 Jun
inferno13–60.0218%22 Jun
mirage15–19-0.0221%11 Jun
mirage12–16-0.0142%10 Jun
mirage7–13-0.0624%9 Jun
ancient13–70.0424%9 Jun
anubis16–130.0213%6 Jun
ancient10–13-0.0222%4 Jun
dust214–16-0.0418%3 Jun
ancient13–50.0015%1 Jun
dust28–13-0.0329%31 May
ancient13–50.1423%28 May
anubis13–40.0225%28 May
dust26–130.0221%28 May
dust216–130.0223%28 May
ancient11–13-0.0021%27 May
dust213–60.0721%27 May
mirage5–130.0018%25 May
mirage7–13-0.0119%24 May
mirage13–90.0719%23 May
inferno13–11-0.0335%23 May
mirage13–40.0619%20 May
inferno8–13-0.008%19 May
ancient19–150.0012%19 May
anubis6–13-0.065%16 May
inferno7–110.1326%15 May
inferno8–130.0023%14 May
mirage7–13-0.0131%11 May
dust23–130.0532%11 May
nuke6–9-0.0329%10 May
dust214–160.0237%10 May
anubis13–40.0011%9 May
ancient9–13-0.0416%8 May
mirage13–10.1227%8 May
ancient5–13-0.1114%7 May
anubis19–16-0.0318%4 May
cache13–90.1037%3 May
mirage13–70.0434%3 May
mirage13–00.0638%3 May
ancient13–40.0126%3 May
anubis13–10.0321%28 Apr
overpass8–13-0.0818%27 Apr
inferno13–80.059%25 Apr
anubis13–10-0.0215%24 Apr
overpass8–13-0.0723%24 Apr
mirage13–100.0425%24 Apr
anubis10–130.0226%22 Apr
dust213–9-0.0126%22 Apr
inferno13–70.0513%20 Apr
anubis11–130.0918%20 Apr
mirage9–13-0.0223%18 Apr
inferno13–90.0527%12 Apr
inferno7–13-0.1114%12 Apr
ancient19–16-0.0317%11 Apr
mirage16–140.0214%4 Apr
mirage11–13-0.0628%3 Apr
mirage4–13-0.0717%3 Apr
ancient13–50.0236%3 Apr
ancient11–13-0.059%3 Apr
mirage13–8-0.0031%30 Mar
mirage13–10.0333%30 Mar
dust26–13-0.0518%30 Mar
inferno9–130.0115%28 Mar
inferno7–13-0.0312%27 Mar

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 →