Akhmad

Akhmad — CS2 Stats

SA76561198249848006[U:1:289582278]Steam profile ↗1 game ban

798Tracked matches50%Win rate2021Tracked since
CSDB Rating5.1 DevelopingAll-Rounder
FaceitLevel 8 · 1,448 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 16,907 +4,008 13 Feb – 8 Sept · 28 days played
12,26417,143peak 17,14313 Feb8 Sept
17,273Peak Premier in tracked matches
1,448Highest Faceit ELO seen on CSDB
52Days played since 2025-02-13

Faceit ELO

  • At peak — 1,448
  • Next: Level 8 at 1,531 — 83 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGAkhmadFACEITLevel 8 · 1,448 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,448csdb.gg/stats

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Performance scores

Aim75
Positioning46
Utility43

0–100 skill scores via Leetify.

Recent form

COLD51–47–2Last 10051%Win rateWLLLLLWLLW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +0.8pp headshot accuracy · +14ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 586ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 604ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 597ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.5
Utility4.3
Positioning4.6
Opening Duels3.2
Clutch4.0

Limited 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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Twistzz

Plays most like Twistzz 92% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning profile; 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

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 46% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 595ms 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

Aim7.5
Positioning4.6
Utility4.3
Mechanics7.7
Opening Duels2.1
Win Impact5.0

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time590ms+29ms
first ⅓ avg 560ms → last ⅓ avg 590ms
Headshot accuracy15.9%−1.1%
first ⅓ avg 17.1% → last ⅓ avg 15.9%

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.

Personal bests

0.16Best match rating · 9–3 · inferno, 24 Feb →
37%Best headshot accuracy · 8–13 · dust2, 3 Aug →
383msFastest reaction time · 13–5 · anubis, 27 Feb →
13–0Biggest win · mirage, 12 Aug →

Across the last 100 tracked matches.

Highlights

10Longest win streak
5–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 59% over 34mirageWeakest map · 40% over 25
MapGradePlayedRecordWin rateAvg rating
dust2A3420–1459%0.02
mirageC2510–1540%-0.01
infernoB136–746%0.01
ancientB84–450%-0.00
anubisB84–450%0.04
nukeB63–350%0.01
overpass—43–175%0.02
train—21–150%-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 25). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

439Matches
49%Win rate
1.06Avg K/D
84.0ADR
40%Headshot %

Clutches & streaks

40%1v1 clutch win
22%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage10655%1.1516.9
Dust29747%1.0117.0
Inferno5542%1.0816.7
Ancient5250%1.1616.4
Nuke3355%1.3018.7
Anubis2658%0.9415.3
Train1844%0.9513.1
Overpass1155%0.8912.6

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.

15.9%Headshot accuracy
35.9%Accuracy (enemy spotted)
38.7%Spray accuracy
84.7%Counter-strafing
8.8°Preaim
595msReaction time
30.4%T opening success
46.2%CT opening success
0.61Enemies flashed / flash
7.3%Flash assists
6.41HE damage / grenade
4.82Flashes / 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 30.4258% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

40% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–8-0.0010%27 Mar →
dust211–130.0616%23 Mar →
ancient10–13-0.0221%14 Mar →
mirage10–13-0.0716%12 Mar →
mirage5–13-0.0321%12 Mar →
anubis11–13-0.0014%9 Mar →
dust213–110.0215%17 Feb →
dust219–220.0210%12 Feb →
inferno6–13-0.0217%28 Jan →
dust213–70.0234%25 Jan →
anubis13–100.057%24 Jan →
ancient9–13-0.0115%22 Nov →
mirage9–13-0.0325%18 Nov →
nuke13–60.0418%15 Nov →
inferno9–130.0219%8 Sept →
dust213–60.0115%8 Sept →
mirage13–80.0111%8 Sept →
dust25–130.0124%3 Sept →
nuke8–13-0.0610%2 Sept →
dust213–50.0324%2 Sept →
mirage5–13-0.067%27 Aug →
dust213–90.0813%26 Aug →
dust25–130.0123%23 Aug →
overpass0–13-0.050%15 Aug →
mirage13–2-0.0517%15 Aug →
mirage13–80.0718%15 Aug →
mirage13–60.1424%13 Aug →
dust213–70.0612%13 Aug →
overpass13–20.0110%13 Aug →
inferno13–20.0917%12 Aug →
inferno13–90.0618%12 Aug →
overpass13–20.0412%12 Aug →
ancient13–70.0214%12 Aug →
mirage13–0-0.0114%12 Aug →
dust23–130.0533%12 Aug →
dust25–13-0.0621%10 Aug →
mirage9–13-0.0011%9 Aug →
mirage7–13-0.0115%8 Aug →
mirage13–16-0.0419%3 Aug →
dust28–130.0737%3 Aug →
nuke16–140.0210%1 Aug →
inferno7–130.0618%27 Jul →
dust29–13-0.0411%22 Jul →
dust213–80.0513%22 Jul →
overpass13–90.0711%20 Jul →
inferno5–13-0.0616%17 Jul →
inferno10–130.008%14 Jul →
mirage10–130.0312%13 Jul →
train4–13-0.089%12 Jul →
anubis13–100.078%12 Jul →
inferno13–90.0314%12 Jul →
nuke13–60.0911%8 Jul →
dust213–70.0315%5 Mar →
anubis13–60.0512%28 Feb →
mirage5–13-0.0514%28 Feb →
dust26–130.0318%27 Feb →
anubis13–5-0.0112%27 Feb →
anubis6–130.087%27 Feb →
mirage14–16-0.0813%27 Feb →
inferno3–9-0.1736%26 Feb →
anubis11–130.028%26 Feb →
dust213–160.0315%25 Feb →
inferno9–30.169%24 Feb →
train13–11-0.0116%24 Feb →
dust215–150.0425%24 Feb →
ancient13–9-0.0511%23 Feb →
nuke13–160.0110%22 Feb →
inferno13–80.0134%22 Feb →
mirage13–8-0.0127%22 Feb →
dust25–13-0.0720%22 Feb →
dust213–100.009%22 Feb →
inferno9–13-0.0510%21 Feb →
dust211–13-0.0522%21 Feb →
ancient8–20.0412%21 Feb →
anubis11–130.0312%21 Feb →
dust216–14-0.049%21 Feb →
mirage13–50.0527%20 Feb →
dust213–40.0317%20 Feb →
ancient13–6-0.049%20 Feb →
dust213–11-0.0024%20 Feb →
dust213–50.0119%20 Feb →
mirage10–130.0111%19 Feb →
mirage13–10-0.0123%19 Feb →
dust213–50.0820%19 Feb →
dust213–100.0831%19 Feb →
dust211–40.0423%19 Feb →
dust213–80.0322%18 Feb →
dust27–30.038%18 Feb →
ancient13–160.0612%18 Feb →
dust213–80.0115%18 Feb →
mirage15–15-0.0315%17 Feb →
ancient10–13-0.0211%17 Feb →
inferno13–10-0.0515%16 Feb →
dust29–130.0019%16 Feb →
mirage11–13-0.0317%15 Feb →
mirage13–70.013%15 Feb →
mirage7–13-0.0316%15 Feb →
nuke1–13-0.0310%15 Feb →
mirage13–90.0124%14 Feb →
mirage11–13-0.0315%13 Feb →

Match data via Leetify.

Recent teammates

Milestones

500 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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