Kareem Abdul-Retard

Kareem Abdul-Retard — CS2 Stats

CC76561198243735236[U:1:283469508]Steam profile ↗

515Tracked matches59%Win rate2020Tracked since
CSDB Rating6.3 SolidAggressive Rifler
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGKareem Abdul-RetardFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim77
Positioning57
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY523810Last 10052%Win rateWLLWLLWLLW

Last 10 vs previous 10: -10pp win rate · -0.04 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.7
Aggression8.1
Utility5.4
Positioning5.7
Opening Duels2.7

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

b1t

Plays most like b1t 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

Reaction time. 604ms 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
Positioning5.7
Utility5.4
Mechanics6.8
Opening Duels2.7
Win Impact7.9

Composite 6.3/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time617ms−20ms
first ⅓ avg 638ms → last ⅓ avg 617ms
Headshot accuracy25.5%−0.2%
first ⅓ avg 25.7% → last ⅓ avg 25.5%

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

0.16Best rating — cache 13–0
130Biggest win — cache
7Longest win streak
54In matches decided by ≤2 rounds
1Overtime games

Map breakdown

mirageBest map · 64% over 36cacheWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
mirageA36231364%0.03
dust2A2011955%0.01
cacheD134931%0.03
trainC125742%0.01
ancientB84450%0.00
overpassC52340%0.00
nuke31233%-0.02
anubis220100%-0.01
vertigo1010%0.00

Across the last 100 tracked matches.

Faceit stats

Combat

111Matches
55%Win rate
1.12Avg K/D
ADR
47%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLWL

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.

25.4%Headshot accuracy
32.7%Accuracy (enemy spotted)
37.6%Spray accuracy
80.8%Counter-strafing
9.2°Preaim
604msReaction time
34.0%T opening success
47.4%CT opening success
0.59Enemies flashed / flash
5.2%Flash assists
12.54HE damage / grenade
9.75Flashes / 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 34.0392% — below the 40% mark we flag

Spend your practice time on Cache

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
dust213–40.0223%27 Aug
cache5–13-0.0621%26 Aug
cache8–13-0.0720%25 Aug
dust210–30.0733%25 Aug
nuke10–13-0.0013%23 Aug
dust20–5-0.0525%21 Aug
dust213–9-0.0121%20 Aug
dust27–13-0.0714%17 Aug
nuke2–13-0.0625%9 Aug
nuke13–60.0126%9 Aug
dust26–13-0.0421%9 Aug
mirage11–13-0.0121%8 Aug
dust213–40.0522%8 Aug
cache12–120.0029%4 Aug
dust213–100.0629%25 Jul
dust23–13-0.0733%24 Jul
cache9–130.1232%23 Jul
anubis13–11-0.0015%23 Jul
anubis13–1-0.0358%22 Jul
mirage13–110.1227%22 Jul
mirage13–9-0.0429%17 Jul
mirage13–50.1023%17 Jul
mirage4–130.0323%15 Jul
mirage13–9-0.0320%25 Jun
cache10–13-0.0233%25 Jun
cache13–70.0053%25 Jun
mirage13–80.0516%25 Jun
mirage13–50.0631%23 Jun
cache13–70.0425%23 Jun
mirage13–50.0917%21 Jun
mirage13–50.0927%8 Jun
mirage13–80.0020%8 Jun
mirage9–13-0.0318%3 Jun
mirage9–130.0216%27 May
overpass16–14-0.0317%27 May
mirage12–12-0.0723%18 May
cache12–120.0423%18 May
mirage13–10-0.0017%15 May
cache13–60.0218%1 May
cache13–00.1626%1 May
cache10–130.0835%30 Apr
cache10–130.0221%29 Apr
cache7–130.0922%29 Apr
mirage6–13-0.009%10 Apr
dust213–30.0732%10 Apr
ancient13–8-0.0520%8 Mar
mirage13–90.0121%7 Mar
mirage8–130.0116%26 Feb
mirage13–10.1224%23 Feb
mirage13–70.0428%16 Feb
mirage13–80.0530%11 Feb
overpass12–12-0.0325%7 Feb
ancient11–13-0.038%2 Feb
dust26–13-0.0218%31 Jan
dust29–130.0430%29 Jan
dust24–00.0312%29 Jan
mirage13–110.0828%29 Jan
mirage13–80.0625%28 Jan
train13–50.0622%11 Jan
dust213–110.0331%11 Jan
mirage11–13-0.0128%10 Jan
mirage13–1-0.0331%9 Jan
dust213–80.0529%9 Jan
dust213–70.0628%9 Jan
mirage13–40.0336%9 Jan
mirage13–90.1036%9 Jan
mirage12–120.0526%8 Jan
train8–13-0.0122%31 Dec
overpass11–13-0.0032%17 Nov
mirage13–7-0.0433%17 Nov
overpass13–40.0925%17 Nov
dust212–12-0.0422%16 Nov
train6–13-0.0327%27 Oct
overpass4–13-0.0226%27 Oct
mirage12–120.1234%25 Oct
ancient13–50.0924%25 Oct
mirage13–30.0826%25 Oct
ancient12–12-0.0025%23 Oct
dust213–10-0.0132%16 Oct
train6–13-0.0325%15 Oct
train12–12-0.0131%15 Oct
mirage13–70.0521%14 Oct
mirage13–100.0022%9 Oct
mirage2–13-0.0418%9 Oct
ancient7–130.0224%9 Oct
train9–130.0117%8 Oct
train13–60.1026%8 Oct
vertigo3–130.0030%8 Oct
train1–13-0.0621%8 Oct
dust212–120.0218%8 Oct
ancient13–10-0.0326%5 Oct
mirage10–130.0423%1 Oct
train13–30.0733%1 Oct
train13–20.0434%1 Oct
dust25–130.0013%1 Oct
mirage6–13-0.0217%30 Sept
ancient13–50.0221%30 Sept
ancient10–130.0135%24 Sept
train1–13-0.0241%24 Sept
train13–80.0426%24 Sept

Match data via Leetify.

Milestones

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