dAKY

dAKY — CS2 Stats

BA76561198054297903[U:1:94032175]Steam profile ↗

2,081Tracked matches37%Win rate2021Tracked since
CSDB Rating5.4 DevelopingPassive Rifler
FaceitLevel 10 · 2,300 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGdAKYFACEITLevel 10 · 2,300 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim77
Positioning45
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY5149Last 10051%Win rateLLLLWWWWLW

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

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

Aim7.7
Aggression3.3
Utility6.0
Positioning4.5
Opening Duels0.4
Clutch4.0

Strong CT-side opener

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 83% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-fight frequency; 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 32 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 45% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 588ms 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

Aim7.7
Positioning4.5
Utility6.0
Mechanics6.9
Opening Duels1.9
Win Impact0.6

Composite 5.4/10 (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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time591ms−22ms
first ⅓ avg 613ms → last ⅓ avg 591ms
Headshot accuracy19.7%−0.0%
first ⅓ avg 19.7% → last ⅓ avg 19.7%

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

0.10Best rating — dust2 13–8
131Biggest win — anubis
7Longest win streak
L4Current streak
89In matches decided by ≤2 rounds
16Overtime games

Map breakdown

anubisBest map · 75% over 16infernoWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B34161847%0.00
nukeA169756%0.01
anubisS1612475%0.01
ancientB157847%-0.00
infernoC114736%0.01
mirage41325%-0.01
cache31233%-0.02
vertigo110100%0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,094Matches
51%Win rate
1.11Avg K/D
79.1ADR
47%Headshot %

Clutches & streaks

40%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust266652%1.1416.3
Ancient40847%1.0315.6
Anubis27853%1.0515.3
Nuke24053%1.1016.5
Inferno22450%1.1116.4
Train5646%1.0817.5
Mirage4641%1.1515.5
Overpass2854%1.1015.8

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.

19.8%Headshot accuracy
34.6%Accuracy (enemy spotted)
37.2%Spray accuracy
81.2%Counter-strafing
8.2°Preaim
588msReaction time
18.5%T opening success
45.1%CT opening success
0.58Enemies flashed / flash
9.4%Flash assists
11.71HE damage / grenade
9.74Flashes / 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 18.4629% — 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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.0112%29 Aug
inferno6–13-0.0215%29 Aug
ancient9–13-0.0119%25 Aug
nuke7–13-0.0713%25 Aug
anubis13–5-0.0418%24 Aug
inferno13–80.0625%24 Aug
dust216–12-0.0614%22 Aug
ancient13–80.0515%21 Aug
dust27–13-0.0118%20 Aug
dust213–70.0925%18 Aug
mirage14–160.0117%15 Aug
nuke13–30.0421%15 Aug
dust211–13-0.0127%15 Aug
inferno10–130.0418%14 Aug
nuke21–25-0.0224%9 Aug
vertigo19–170.0723%8 Aug
dust28–130.0220%5 Aug
nuke8–13-0.0838%5 Aug
dust213–100.0123%31 Jul
dust212–160.0017%31 Jul
mirage15–19-0.0424%29 Jul
cache10–130.0016%27 Jul
cache11–13-0.0317%27 Jul
inferno4–13-0.0514%26 Jul
ancient7–130.0112%18 Jul
ancient13–70.0117%6 Jul
dust213–40.0332%6 Jul
anubis13–60.0717%4 Jul
nuke9–13-0.0220%28 Jun
dust27–130.0618%27 Jun
nuke13–80.1020%26 Jun
ancient13–60.0325%26 Jun
dust216–120.0817%22 Jun
ancient13–11-0.0013%21 Jun
ancient5–13-0.0215%21 Jun
dust216–130.0028%20 Jun
nuke13–80.069%19 Jun
dust23–13-0.059%18 Jun
anubis13–80.0420%17 Jun
dust27–130.0426%16 Jun
dust213–80.1026%15 Jun
anubis16–130.0222%13 Jun
nuke13–40.0832%11 Jun
cache13–9-0.0313%9 Jun
anubis4–13-0.0119%8 Jun
mirage6–13-0.039%2 Jun
nuke13–40.0033%1 Jun
anubis13–50.0125%30 May
ancient9–130.0017%28 May
mirage22–18-0.0023%16 May
anubis13–160.0510%11 May
anubis16–14-0.0320%10 May
nuke8–13-0.0716%10 May
anubis13–6-0.0210%8 May
dust214–16-0.0123%8 May
ancient3–13-0.0428%8 May
dust211–13-0.0619%8 May
inferno13–20.0218%7 May
inferno10–130.0221%28 Apr
anubis13–90.0714%27 Apr
anubis13–110.0115%27 Apr
inferno4–13-0.0426%24 Apr
dust22–13-0.0850%24 Apr
dust25–13-0.0315%24 Apr
nuke13–70.0618%24 Apr
ancient7–13-0.0715%12 Apr
anubis19–17-0.0317%8 Apr
nuke11–130.0020%21 Mar
nuke6–13-0.0216%14 Mar
dust213–7-0.0021%12 Mar
ancient13–110.0113%10 Mar
anubis10–13-0.058%8 Mar
inferno13–70.0925%8 Mar
anubis3–13-0.0624%7 Mar
dust23–13-0.0316%7 Mar
dust27–13-0.085%7 Mar
dust213–110.0818%6 Mar
dust213–6-0.0520%5 Mar
inferno11–130.0230%5 Mar
nuke13–60.0824%26 Feb
dust29–130.0020%24 Feb
dust27–130.0120%21 Feb
dust213–4-0.0932%20 Feb
dust213–100.0218%19 Feb
dust213–3-0.0321%19 Feb
ancient17–190.0122%17 Feb
ancient8–13-0.0319%13 Feb
dust213–100.0320%9 Feb
ancient13–60.0418%8 Feb
anubis13–10.0924%8 Feb
dust213–7-0.048%3 Feb
anubis13–100.0421%3 Feb
inferno16–120.0030%31 Jan
nuke13–80.0113%27 Jan
dust211–130.0225%19 Jan
nuke13–6-0.0024%19 Jan
dust29–13-0.0118%11 Jan
ancient13–11-0.0215%10 Jan
dust213–80.0222%7 Jan
dust26–130.0321%6 Jan

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →