*Akdac* — CS2 Stats

76561198805790658[U:1:845524930]

1,413Tracked matches39%Win rate2020Tracked since
CSDB Rating4.8 DevelopingPassive Rifler
Premier CS Rating15,975Purple band · top ~24.5% of ranked players (population est.)
CSDB Leaderboard#24400 of 42394 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GG*Akdac*FACEITLevel 7STANDINGTop 42.3% of rankedPREMIER15,975 · Purple bandcsdb.gg/stats

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Performance scores

Aim64
Positioning42
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY47485Last 10047%Win rateWWWLLLLWLL

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

Player DNA

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

Aim6.4
Aggression3.0
Utility3.4
Positioning4.2
Opening Duels1.6
Clutch0.0

Strong CT-side openerLimited utility dependence

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 77% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim 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 48% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 652ms 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

Aim6.4
Positioning4.2
Utility3.4
Mechanics7.5
Opening Duels2.2
Win Impact1.4

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time659ms−20ms
first ⅓ avg 679ms → last ⅓ avg 659ms
Headshot accuracy17.0%+1.0%
first ⅓ avg 16.1% → last ⅓ avg 17.0%

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

0.13Best rating — mirage 13–11
132Biggest win — dust2
8Longest win streak
W3Current streak
98In matches decided by ≤2 rounds
5Overtime games

Map breakdown

dust2Best map · 55% over 29infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A29161355%-0.01
mirageB20101050%-0.01
ancientD93633%-0.03
cacheC83538%-0.02
infernoD72529%0.00
anubisD62433%-0.01
nuke4040%-0.03
boulder43175%0.02
vertigo32167%0.02
shelter220100%0.04
sanctum21150%-0.01
overpass21150%-0.02
fachwerk1010%-0.03
eldorado1010%-0.01
alpine110100%0.01
poseidon110100%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

392Matches
53%Win rate
1.18Avg K/D
66.7ADR
40%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Vertigo1872%1.6019.7
Anubis1450%1.5119.4
Ancient1155%1.1417.1
Inferno743%0.9414.7
Mirage560%1.0819.4
Overpass367%1.0518.3
Nuke20%0.8816.5
Dust2250%0.8514.0

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.

16.1%Headshot accuracy
34.5%Accuracy (enemy spotted)
37.2%Spray accuracy
84.0%Counter-strafing
9.9°Preaim
652msReaction time
25.4%T opening success
47.6%CT opening success
0.37Enemies flashed / flash
4.9%Flash assists
10.10HE damage / grenade
3.71Flashes / 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 0.3727 — 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 25.3996% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–30.0215%21 Aug
dust213–9-0.0118%21 Aug
dust216–13-0.0222%16 Aug
mirage11–130.0312%16 Aug
inferno10–13-0.0010%16 Aug
nuke5–13-0.0218%16 Aug
inferno10–130.0312%16 Aug
mirage13–6-0.0117%15 Aug
inferno10–13-0.029%15 Aug
dust29–13-0.0320%15 Aug
vertigo13–30.0116%15 Aug
inferno4–130.0015%15 Aug
dust28–13-0.037%15 Aug
ancient1–13-0.0122%12 Aug
mirage9–130.027%12 Aug
mirage13–100.0415%12 Aug
dust213–2-0.0128%12 Aug
cache12–12-0.0914%9 Aug
boulder13–7-0.0220%9 Aug
boulder8–0-0.0733%9 Aug
shelter10–5-0.0017%9 Aug
mirage7–13-0.0611%9 Aug
ancient5–13-0.0914%5 Aug
vertigo8–13-0.0713%5 Aug
cache12–12-0.0116%5 Aug
fachwerk5–13-0.0317%5 Aug
dust26–13-0.0221%5 Aug
boulder13–30.1020%2 Aug
mirage5–13-0.0733%28 Jul
boulder6–130.0613%28 Jul
anubis3–130.0119%28 Jul
nuke6–13-0.0628%28 Jul
dust25–13-0.0111%23 Jul
eldorado5–9-0.0121%19 Jul
mirage13–10-0.0518%19 Jul
shelter13–60.0718%19 Jul
ancient13–8-0.0322%18 Jul
dust29–13-0.0214%7 Jul
nuke13–16-0.0324%26 Jun
ancient11–130.0816%21 Jun
dust213–11-0.0214%20 Jun
mirage13–90.0113%7 Jun
dust213–40.0229%7 Jun
dust213–8-0.0221%6 Jun
mirage4–13-0.019%6 Jun
dust213–20.0311%2 Jun
mirage13–11-0.0516%20 May
dust28–13-0.0210%19 May
ancient3–13-0.0710%19 May
ancient1–13-0.1026%19 May
cache5–10-0.0614%19 May
alpine13–40.0130%19 May
cache12–12-0.0235%16 May
inferno9–30.0225%13 May
sanctum8–8-0.0225%10 May
poseidon9–30.0223%10 May
sanctum9–50.0023%10 May
cache13–50.0615%10 May
dust213–10-0.0211%10 May
dust213–6-0.0921%9 May
cache13–11-0.0426%9 May
anubis13–11-0.0417%3 May
cache13–60.0126%1 May
cache2–13-0.0126%29 Apr
dust213–80.0715%16 Apr
dust213–110.0227%15 Apr
vertigo13–90.1121%10 Apr
ancient11–13-0.0314%6 Apr
mirage13–110.1312%6 Apr
dust27–13-0.0218%4 Apr
overpass13–5-0.0418%4 Apr
anubis13–110.0212%3 Apr
dust215–15-0.0212%3 Apr
anubis9–13-0.0115%3 Apr
anubis11–13-0.0318%30 Mar
mirage7–13-0.0312%20 Mar
mirage5–13-0.0316%19 Mar
mirage11–130.0016%18 Mar
dust213–4-0.0519%11 Mar
nuke4–130.0110%27 Feb
dust26–13-0.0320%22 Feb
mirage8–13-0.0511%22 Feb
mirage16–130.0411%18 Feb
dust28–13-0.0413%12 Feb
mirage11–130.0024%12 Feb
dust213–8-0.028%6 Feb
mirage13–11-0.0116%6 Feb
overpass3–130.0122%1 Feb
dust211–13-0.0023%28 Jan
dust27–130.0414%24 Jan
dust213–9-0.0021%21 Jan
ancient13–10-0.0029%16 Jan
dust213–90.0217%13 Jan
dust24–13-0.0521%13 Jan
anubis5–130.0217%13 Jan
inferno14–16-0.0318%11 Jan
mirage13–110.0114%10 Jan
mirage13–5-0.019%10 Jan
inferno13–100.0120%7 Jan
dust213–60.0415%7 Jan

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 →