AhmedB

AhmedB — CS2 Stats

SO76561199071525688[U:1:1111259960]Steam profile ↗✓ No bans

201Tracked matches50%Win rate2021Tracked since
222Hours in CS
CSDB Rating4.9 DevelopingPositional Player
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 12,991 +2,416 22 Feb – 24 Oct · 22 days played
9,89013,220peak 13,22022 Feb24 Oct
13,239Peak Premier in tracked matches
40Days played since 2025-02-21

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

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate54.8%43.8%44.8%above
Shot accuracy13.3%12.0%12.4%above
Kill/death ratio1.021.021.03meets
Match win rate50.9%44.7%45.2%above

Across every metric we can compare, this profile already matches the typical Level 6 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGAhmedBFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim53
Positioning57
Utility21

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateWLLWLWLWWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −7.4pp headshot accuracy · −57ms reaction

Win rate up 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

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 30%
  • Avg reaction 675ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 28%
  • Avg reaction 646ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 32%
  • Avg reaction 675ms

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: Positional Player — Positioning stands above the rest of this profile (+3.1 against its own average).

Aim5.3
Utility2.1
Positioning5.7
Opening Duels2.0
Clutch0.8

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

donk

Plays most like donk 80% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 681ms 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

Aim5.3
Positioning5.7
Utility2.1
Mechanics7.7
Opening Duels1.5
Win Impact5.0

Composite 4.9/10 (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-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time688ms+18ms
first ⅓ avg 670ms → last ⅓ avg 688ms
Headshot accuracy31.9%+5.9%
first ⅓ avg 26.0% → last ⅓ avg 31.9%

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

0.17Best match rating · 9–5 · inferno, 15 Jun →
100%Best headshot accuracy · 0–7 · office, 27 Feb →
492msFastest reaction time · 9–5 · inferno, 15 Jun →
13–1Biggest win · nuke, 13 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–8In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 67% over 12mirageWeakest map · 36% over 22
MapGradePlayedRecordWin rateAvg rating
mirageC228–1436%-0.01
nukeB168–850%-0.01
ancientA138–562%-0.00
dust2S128–467%-0.00
anubisB115–645%-0.01
overpassS64–267%-0.01
infernoA53–260%0.04
office—31–233%-0.05
alpine—22–0100%-0.06
train—11–0100%-0.06
cache—10–10%-0.00
poseidon—10–10%-0.18
stronghold—10–10%-0.02
palacio—11–0100%0.01
golden—10–10%-0.08
agency—11–0100%0.05
jura—10–10%0.15
vertigo—10–10%-0.08
edin—10–10%0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 22). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,407Lifetime kills
1.02K/D
676Matches
50.9%Match win rate · Top 10% of Level 5 players
54.8%Headshot % · Top 25% of Level 5 players
13.3%Shot accuracy · Top 50% of Level 5 players
1,627MVPs
222Hours (in match)
767Bombs planted
169Bombs defused

Most-used weapons

Lifetime map wins

888inferno
798nuke
625dust2
451vertigo
431train
81cbble
47office
9lake

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

Faceit stats

Combat

39Matches
51%Win rate
1.03Avg K/D
67.8ADR
55%Headshot %

Clutches & streaks

24%1v1 clutch win
22%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1650%0.9814.6
Ancient944%1.1312.0
Dust2862%1.0613.5
Anubis250%0.728.0
Nuke250%1.1115.5
Inferno10%1.2525.0
Vertigo1100%0.8315.0

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.

30.0%Headshot accuracy
25.4%Accuracy (enemy spotted)
24.0%Spray accuracy
84.6%Counter-strafing
10.8°Preaim
681msReaction time
35.2%T opening success
37.1%CT opening success
0.29Enemies flashed / flash
2.6%Flash assists
7.69HE damage / grenade
6.25Flashes / 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 0.2876 — 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 35.1673% — 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.

36% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
train13–6-0.0625%9 Oct →
dust25–13-0.0318%9 Oct →
cache3–13-0.0050%9 Oct →
nuke9–60.0434%13 Jun →
poseidon5–9-0.1824%13 Jun →
mirage13–10-0.0425%13 Jun →
inferno6–13-0.0319%13 Jun →
nuke13–10.1130%13 Jun →
nuke13–10-0.0516%13 Jun →
mirage16–130.0336%13 Jun →
alpine13–8-0.0626%4 Mar →
office0–7-0.07100%27 Feb →
stronghold7–13-0.0235%27 Feb →
alpine13–6-0.0521%27 Feb →
office13–11-0.0426%27 Feb →
dust214–16-0.0319%20 Dec →
mirage8–13-0.0428%20 Dec →
anubis9–13-0.0445%28 Nov →
overpass7–130.0018%28 Nov →
dust213–10.0333%28 Nov →
palacio13–70.0129%31 Oct →
inferno13–10-0.0131%31 Oct →
nuke13–10-0.0421%31 Oct →
nuke13–1-0.0450%31 Oct →
mirage6–13-0.0136%24 Oct →
office9–13-0.0523%24 Oct →
nuke11–130.0222%24 Oct →
mirage9–13-0.0138%24 Oct →
golden6–13-0.0845%24 Oct →
mirage13–100.0536%20 Oct →
nuke14–16-0.0328%10 Oct →
dust213–70.0529%10 Oct →
ancient3–13-0.0032%10 Oct →
mirage13–70.0024%10 Oct →
overpass13–60.0318%10 Oct →
nuke9–3-0.0445%9 Oct →
nuke13–70.0344%9 Oct →
overpass16–120.0223%19 Sept →
ancient16–140.0133%22 Aug →
mirage13–16-0.0329%22 Aug →
nuke8–13-0.0638%22 Aug →
ancient13–11-0.0421%22 Aug →
dust213–60.0538%22 Aug →
mirage10–13-0.0729%11 Aug →
ancient9–13-0.0526%9 Aug →
overpass13–5-0.0433%9 Aug →
mirage11–13-0.0436%9 Aug →
dust213–10-0.0431%8 Aug →
overpass8–8-0.0122%24 Jun →
nuke5–9-0.0628%24 Jun →
inferno9–40.1120%15 Jun →
inferno9–50.1735%15 Jun →
agency13–90.0529%15 Jun →
jura11–130.1539%8 Jun →
mirage2–13-0.0612%5 Jun →
mirage13–90.1232%28 May →
mirage13–40.1523%28 May →
nuke5–13-0.0733%27 May →
dust24–13-0.1011%27 May →
mirage7–13-0.0345%27 May →
nuke2–130.0025%27 May →
anubis13–160.0129%11 May →
anubis13–60.0035%6 May →
dust213–70.0137%29 Mar →
mirage13–11-0.0420%29 Mar →
anubis7–13-0.0618%23 Mar →
mirage10–13-0.0527%23 Mar →
mirage11–130.0122%20 Mar →
anubis10–13-0.0428%20 Mar →
overpass13–6-0.0726%19 Mar →
ancient5–13-0.0024%18 Mar →
dust213–70.0323%14 Mar →
ancient13–8-0.0519%13 Mar →
dust27–13-0.0123%13 Mar →
ancient16–13-0.0131%13 Mar →
mirage6–13-0.0437%13 Mar →
nuke10–13-0.0016%12 Mar →
dust216–14-0.0120%9 Mar →
inferno6–9-0.0329%9 Mar →
mirage11–13-0.0127%9 Mar →
ancient13–5-0.0020%9 Mar →
dust213–100.0520%8 Mar →
mirage13–8-0.0015%8 Mar →
anubis10–13-0.0127%8 Mar →
nuke13–7-0.0020%8 Mar →
anubis13–11-0.0018%8 Mar →
ancient15–15-0.0828%7 Mar →
anubis13–11-0.0325%4 Mar →
ancient13–7-0.0224%4 Mar →
anubis15–150.0028%4 Mar →
anubis13–10-0.0123%3 Mar →
mirage4–13-0.0235%3 Mar →
anubis13–70.0738%27 Feb →
ancient14–160.0227%27 Feb →
vertigo6–9-0.0819%27 Feb →
edin7–130.0755%22 Feb →
ancient13–10.1327%22 Feb →
nuke8–13-0.0321%22 Feb →
mirage10–13-0.0314%21 Feb →
ancient13–50.0950%21 Feb →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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