miLLahdakiLLah

miLLahdakiLLah — CS2 Stats

US76561198818922423[U:1:858656695]Steam profile ↗✓ No bans

3,971Tracked matches47%Win rate2020Tracked since
9,405Hours in CS24Hrs last 2 wks
CSDB Rating5.7 SolidSupport
Premier CS Rating26,455Top 25% of 819 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)
CSDB Leaderboard#960 of 10691 tracked
FaceitLevel 10 · 2,320 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median
Headshot rate48.0%52.8%
Shot accuracy14.9%13.7%
Kill/death ratio1.091.08
Match win rate42.6%49.2%

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CSDB.GGmiLLahdakiLLahFACEITLevel 10 · 2,320 ELOSTANDINGTop 12.4% of rankedPREMIER26,455 · Red bandcsdb.gg/stats

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Performance scores

Aim68
Positioning51
Utility72

0–100 skill scores via Leetify.

Recent form

STEADY4951Last 10049%Win rateLWLWLWWWWL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim6.8
Aggression3.0
Utility7.2
Positioning5.1
Opening Duels0.7
Clutch3.6

Strong CT-side openerEffective flashes

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: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency; 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

T-side openings. Opening success drops from 42% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.8
Positioning5.1
Utility7.2
Mechanics5.1
Opening Duels1.5
Win Impact3.9

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time536ms−40ms
first ⅓ avg 575ms → last ⅓ avg 536ms
Headshot accuracy18.4%−3.8%
first ⅓ avg 22.2% → last ⅓ avg 18.4%

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 — anubis 13–2
130Biggest win — dust2
5Longest win streak
510In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 85% over 13infernoWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
dust2B28141450%0.02
mirageC2491538%-0.01
infernoD1541127%-0.01
ancientS1311285%0.03
cacheS96367%-0.00
anubisA85363%0.02
nuke3030%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

291,430Lifetime kills
1.09K/D · Top 50% of Level 10 players
8,061Matches
42.6%Match win rate
48.0%Headshot %
14.9%Shot accuracy · Top 50% of Level 10 players
24,560MVPs
6,196Hours (in match)
11,116Bombs planted
3,423Bombs defused

Most-used weapons

AK-4785,737
AWP60,823
Glock-1810,925
P2506,093
MAC-105,387
MP95,360

Lifetime map wins

20,790inferno
15,509dust2
4,580vertigo
3,019nuke
1,567train
198cbble
67office
16aztec

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

Faceit stats

Combat

1,917Matches
51%Win rate
1.10Avg K/D
80.9ADR
39%Headshot %

Clutches & streaks

38%1v1 clutch win
21%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient19351%1.0515.8
Mirage17454%1.0616.4
Inferno15757%1.1916.8
Dust212652%1.1616.8
Overpass5652%1.0013.8
Vertigo5157%1.1714.8
Anubis4833%1.0718.6
Nuke1753%1.1615.1

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.

17.9%Headshot accuracy
33.5%Accuracy (enemy spotted)
37.3%Spray accuracy
72.8%Counter-strafing
9.3°Preaim
543msReaction time
23.2%T opening success
42.2%CT opening success
0.74Enemies flashed / flash
12.0%Flash assists
10.12HE damage / grenade
22.57Flashes / 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 23.1663% — 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.

27% 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
nuke7–130.0530%28 Aug
anubis13–110.0324%28 Aug
inferno14–16-0.0515%28 Aug
dust213–90.0126%28 Aug
mirage13–16-0.0316%25 Aug
cache13–70.0615%25 Aug
ancient13–80.0319%23 Aug
mirage13–70.0518%23 Aug
mirage34–32-0.0224%23 Aug
dust27–13-0.0114%22 Aug
dust27–130.0218%18 Aug
inferno13–7-0.0117%17 Aug
ancient13–5-0.0014%17 Aug
inferno13–70.0414%15 Aug
inferno10–0-0.0315%15 Aug
cache13–16-0.064%15 Aug
inferno13–70.0318%15 Aug
dust27–13-0.039%15 Aug
anubis16–12-0.008%15 Aug
mirage2–13-0.0817%14 Aug
dust213–6-0.0117%14 Aug
dust24–13-0.0318%14 Aug
inferno7–9-0.0122%14 Aug
dust29–130.0327%14 Aug
mirage5–13-0.0220%13 Aug
mirage11–130.0116%13 Aug
dust28–130.0515%13 Aug
cache4–13-0.1121%13 Aug
inferno0–130.0122%12 Aug
ancient13–90.0515%12 Aug
mirage1–13-0.1033%12 Aug
dust213–00.0133%12 Aug
mirage13–50.0114%12 Aug
dust211–130.0623%12 Aug
dust213–110.0715%12 Aug
ancient7–130.0517%11 Aug
inferno1–13-0.0719%11 Aug
mirage13–30.0231%11 Aug
mirage13–30.0118%11 Aug
mirage6–130.0521%11 Aug
mirage1–6-0.0430%10 Aug
anubis13–20.1318%10 Aug
inferno11–130.0431%10 Aug
ancient11–00.000%10 Aug
dust213–20.0930%10 Aug
dust213–80.0220%7 Aug
dust213–100.0230%7 Aug
anubis11–13-0.0325%7 Aug
dust214–16-0.0921%7 Aug
mirage13–50.0124%5 Aug
ancient10–130.0318%5 Aug
cache13–30.0132%5 Aug
mirage6–130.0023%5 Aug
dust213–20.0719%4 Aug
dust217–190.0218%4 Aug
dust213–3-0.0039%3 Aug
dust27–13-0.0119%3 Aug
mirage13–80.0521%3 Aug
inferno10–13-0.0211%30 Jul
mirage13–20.0522%30 Jul
dust213–30.1226%30 Jul
dust27–130.0930%30 Jul
cache11–130.0022%30 Jul
mirage4–130.0111%30 Jul
cache13–50.0321%30 Jul
dust213–90.0825%30 Jul
ancient13–100.0121%30 Jul
inferno10–13-0.0414%29 Jul
anubis3–130.0131%29 Jul
mirage5–130.0220%29 Jul
dust213–90.0119%28 Jul
anubis9–130.0220%28 Jul
inferno10–130.0220%28 Jul
ancient13–70.1324%27 Jul
mirage7–13-0.0124%25 Jul
dust213–16-0.0112%25 Jul
cache8–5-0.0110%25 Jul
inferno14–160.0423%24 Jul
dust213–10-0.0015%24 Jul
nuke6–13-0.0218%23 Jul
inferno10–13-0.0126%23 Jul
ancient13–110.0218%23 Jul
dust29–13-0.0119%23 Jul
mirage6–00.0510%23 Jul
nuke7–13-0.0627%22 Jul
dust213–60.0827%22 Jul
mirage0–13-0.06100%22 Jul
anubis22–180.0126%22 Jul
mirage4–130.0024%22 Jul
mirage6–13-0.0424%21 Jul
anubis13–30.0318%21 Jul
ancient13–60.0424%21 Jul
ancient13–90.0124%21 Jul
ancient13–100.0518%20 Jul
cache16–140.0823%20 Jul
inferno0–5-0.080%20 Jul
dust21–11-0.0517%20 Jul
cache13–9-0.0414%20 Jul
ancient13–6-0.0220%20 Jul
mirage6–10-0.0725%19 Jul

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
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