Abdullah — CS2 Stats

76561198878572727[U:1:918306999]✓ No bans

540Tracked matches52%Win rate2022Tracked since
CSDB Rating5.9 SolidHybrid Rifler
Premier CS Rating16,961Purple band · top ~20.6% of ranked players (population est.)
CSDB Leaderboard#5174 of 8668 tracked
Ladder ranks via Leetify

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CSDB.GGAbdullahPREMIER16,961 · Purple bandcsdb.gg/stats

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Performance scores

Aim75
Positioning43
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY50491Last 10050%Win rateLWTLLLLWWW

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

Player DNA

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

Aim7.5
Aggression6.3
Utility6.3
Positioning4.3
Opening Duels2.4
Clutch3.2

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

Twistzz

Plays most like Twistzz 91% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: 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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 48% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 581ms 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
Positioning4.3
Utility6.3
Mechanics7.0
Opening Duels2.4
Win Impact5.6

Composite 5.9/10 (Solid), 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+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time595ms−28ms
first ⅓ avg 623ms → last ⅓ avg 595ms
Headshot accuracy20.0%+0.9%
first ⅓ avg 19.1% → last ⅓ avg 20.0%

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

0.14Best rating — vertigo 3–13
131Biggest win — mirage
6Longest win streak
109In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 75% over 12infernoWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageB30161453%-0.02
ancientB189950%0.01
anubisS129375%-0.00
nukeB126650%-0.01
infernoC114736%0.00
dust2C94544%-0.03
cache41325%0.01
shelter110100%0.08
cache_b1010%-0.06
train1010%-0.02
vertigo1010%0.14

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

261Matches
54%Win rate
0.94Avg K/D
74.0ADR
51%Headshot %

Clutches & streaks

36%1v1 clutch win
19%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage10658%0.9313.6
Ancient4556%0.8815.5
Anubis3063%1.2015.4
Dust22442%0.8412.6
Nuke2255%0.9215.2
Inferno1741%0.9413.3
Overpass1136%0.7912.9
Train250%0.8013.5

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.

18.9%Headshot accuracy
33.9%Accuracy (enemy spotted)
37.3%Spray accuracy
81.5%Counter-strafing
8.8°Preaim
581msReaction time
31.5%T opening success
48.0%CT opening success
0.56Enemies flashed / flash
5.8%Flash assists
10.73HE damage / grenade
10.72Flashes / 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 31.5045% — 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
ancient11–13-0.0124%27 Aug
inferno13–90.0317%27 Aug
inferno15–15-0.0310%26 Aug
ancient8–130.0218%26 Aug
anubis11–13-0.0024%25 Aug
mirage5–13-0.0324%25 Aug
cache3–13-0.0817%25 Aug
ancient13–8-0.0317%25 Aug
mirage13–6-0.0225%25 Aug
inferno13–110.0415%25 Aug
anubis13–8-0.017%25 Aug
nuke13–80.0019%25 Aug
ancient13–100.0525%25 Aug
nuke10–13-0.048%24 Aug
inferno9–130.0038%24 Aug
anubis10–13-0.0414%24 Aug
dust26–130.0520%24 Aug
ancient13–60.0317%18 Aug
mirage13–7-0.0021%18 Aug
inferno13–160.0117%18 Aug
inferno7–13-0.0617%17 Aug
nuke6–13-0.0123%17 Aug
mirage13–70.0621%17 Aug
ancient13–40.0815%17 Aug
anubis13–50.0714%17 Aug
ancient2–13-0.0226%17 Aug
nuke6–13-0.0418%17 Aug
ancient13–40.0618%17 Aug
ancient13–80.0121%17 Aug
inferno13–100.0423%17 Aug
shelter13–60.0840%16 Aug
ancient8–130.0122%14 Aug
dust213–7-0.0125%14 Aug
mirage13–10.0217%14 Aug
cache11–13-0.0122%14 Aug
dust27–13-0.0213%14 Aug
nuke13–90.0724%14 Aug
cache9–130.0821%14 Aug
mirage0–8-0.0830%14 Aug
mirage9–13-0.0018%14 Aug
cache13–110.0324%14 Aug
dust29–13-0.0618%11 Aug
mirage13–7-0.0215%19 May
mirage11–130.0721%24 Apr
anubis13–90.0219%24 Apr
cache_b13–16-0.069%23 Apr
ancient9–13-0.0322%21 Apr
mirage10–13-0.0321%20 Apr
nuke13–11-0.0218%15 Apr
mirage16–120.0115%11 Apr
mirage11–13-0.0313%11 Apr
nuke13–40.0125%11 Apr
dust213–4-0.0122%10 Apr
mirage19–17-0.0712%9 Apr
mirage13–11-0.0714%18 Mar
anubis13–30.0227%14 Mar
inferno6–9-0.0217%13 Mar
ancient7–13-0.0321%12 Mar
ancient13–20.0628%12 Mar
mirage2–13-0.0423%12 Mar
nuke5–13-0.0719%12 Mar
anubis13–11-0.0713%12 Mar
inferno13–80.0429%9 Mar
ancient11–130.0020%8 Mar
mirage7–13-0.0719%5 Mar
mirage14–16-0.0022%3 Mar
dust26–13-0.1017%24 Feb
mirage13–10.1037%24 Feb
nuke6–13-0.0626%21 Feb
nuke17–190.0622%16 Feb
anubis13–110.0121%15 Feb
dust21–13-0.1033%14 Feb
mirage13–9-0.0023%13 Feb
inferno8–13-0.0316%13 Feb
mirage13–7-0.0517%22 Jan
mirage16–13-0.0220%16 Jan
inferno10–13-0.0112%12 Jan
anubis9–13-0.0822%3 Jan
train11–13-0.0219%3 Jan
anubis13–80.0221%3 Jan
nuke13–11-0.0317%3 Jan
ancient3–90.019%3 Jan
mirage13–4-0.0321%3 Jan
mirage7–13-0.057%2 Jan
ancient13–20.0615%2 Jan
mirage13–40.0017%2 Jan
dust213–5-0.0122%2 Jan
nuke13–8-0.0323%2 Jan
dust213–4-0.0318%2 Jan
mirage5–13-0.0425%2 Jan
anubis13–90.0715%2 Jan
anubis13–50.006%2 Jan
vertigo3–130.1430%31 Dec
ancient0–5-0.0233%30 Dec
mirage4–13-0.069%27 Dec
mirage9–13-0.0416%27 Dec
ancient13–80.0120%25 Dec
mirage13–11-0.029%20 Dec
mirage16–140.009%20 Dec
mirage4–13-0.0420%20 Dec

Match data via Leetify.

Recent teammates

Milestones

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