Al Bebak — CS2 Stats

76561198914868371[U:1:954602643]

1,002Tracked matches54%Win rate2020Tracked since
2,062Hours in CS20Hrs last 2 wks
CSDB Rating5.4 DevelopingHybrid Rifler
Premier CS Rating17,137Purple band · top ~19.9% of ranked players (population est.)
CSDB Leaderboard#7629 of 13078 tracked
WingmanSilver I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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 playerPink band medianvs Pink band
Headshot rate48.4%48.1%meets
Shot accuracy14.4%12.9%above
Kill/death ratio0.981.080.10 short
Match win rate46.9%46.5%meets

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGAl BebakPREMIER17,137 · Purple bandcsdb.gg/stats

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Performance scores

Aim72
Positioning45
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY50446Last 10050%Win rateLWLWLWLWWW

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

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

Aim7.2
Aggression5.0
Utility3.3
Positioning4.5
Opening Duels0.9

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.

Your pro match

NiKo

Plays most like NiKo 84% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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. 612ms 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

Aim7.2
Positioning4.5
Utility3.3
Mechanics7.6
Opening Duels0.9
Win Impact6.2

Composite 5.4/10 (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-0.02−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.02
Reaction time623ms−28ms
first ⅓ avg 651ms → last ⅓ avg 623ms
Headshot accuracy21.8%−5.2%
first ⅓ avg 27.1% → last ⅓ avg 21.8%

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

0.12Best rating — train 3–0
130Biggest win — jura
6Longest win streak
54In matches decided by ≤2 rounds
5Overtime games

Map breakdown

trainBest map · 75% over 8ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB26131350%0.01
dust2S2114767%0.00
infernoC135838%-0.01
nukeC104640%-0.01
trainS86275%0.04
ancientD71614%-0.01
anubis41325%-0.03
overpass31233%-0.02
vertigo31233%-0.00
jura220100%0.10
boulder1010%-0.07
agency110100%0.03
office110100%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

57,086Lifetime kills
0.98K/D
3,192Matches
46.9%Match win rate · Top 50% of tracked players
48.4%Headshot % · Top 50% of tracked players
14.4%Shot accuracy · Top 50% of tracked players
6,532MVPs
1,836Hours (in match)
1,953Bombs planted
611Bombs defused

Most-used weapons

AK-4716,424
AWP7,057
SSG 082,518
FAMAS1,769
Knife1,407
MP91,301

Lifetime map wins

4,506dust2
3,887inferno
3,711nuke
1,732vertigo
1,129train
153office
104italy
84lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

22.3%Headshot accuracy
31.5%Accuracy (enemy spotted)
36.6%Spray accuracy
84.0%Counter-strafing
9.5°Preaim
612msReaction time
32.8%T opening success
34.5%CT opening success
0.55Enemies flashed / flash
2.9%Flash assists
7.57HE damage / grenade
4.16Flashes / 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 32.7508% — below the 40% mark we flag

Spend your practice time on Ancient

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust210–130.017%27 Aug
dust213–9-0.0419%26 Aug
overpass5–13-0.1019%26 Aug
dust213–4-0.0520%25 Aug
mirage9–13-0.0231%24 Aug
mirage16–130.0117%23 Aug
dust26–13-0.0833%23 Aug
mirage13–30.0126%23 Aug
mirage13–8-0.0430%22 Aug
vertigo13–30.0822%22 Aug
inferno2–13-0.0637%22 Aug
inferno13–110.0027%22 Aug
inferno15–15-0.0015%20 Aug
nuke13–10.1034%20 Aug
dust213–10-0.0116%19 Aug
nuke7–13-0.0311%18 Aug
dust213–100.0828%18 Aug
nuke5–13-0.0625%18 Aug
inferno13–50.0017%18 Aug
anubis3–13-0.1321%17 Aug
dust26–13-0.0418%17 Aug
mirage9–13-0.0128%17 Aug
nuke15–15-0.0323%16 Aug
dust210–13-0.0829%15 Aug
inferno13–90.0030%15 Aug
nuke13–50.0318%14 Aug
boulder3–4-0.070%14 Aug
mirage13–7-0.0317%14 Aug
ancient6–13-0.0125%10 Aug
nuke13–90.0323%26 Jul
mirage7–13-0.0617%25 Jul
mirage16–13-0.0119%25 Jul
dust213–110.0819%24 Jul
mirage13–100.0233%19 Jul
inferno10–130.0218%19 Jul
ancient13–50.0922%18 Jul
nuke5–13-0.0138%18 Jul
anubis8–13-0.0113%11 Jul
ancient11–13-0.038%11 Jul
inferno11–13-0.0438%27 Jun
mirage13–60.0441%26 Jun
inferno4–13-0.0914%22 Jun
inferno13–60.0423%22 Jun
overpass13–90.0316%14 Jun
mirage7–13-0.0414%14 Jun
vertigo2–13-0.0533%11 Jun
nuke13–5-0.0516%11 Jun
mirage10–130.0825%27 Apr
nuke4–130.0532%26 Apr
ancient8–130.0221%22 Nov
train3–00.12100%22 Nov
mirage13–100.0628%11 Nov
nuke5–13-0.1333%11 Nov
dust213–9-0.0153%7 Nov
mirage13–30.0929%7 Nov
mirage6–110.0641%7 Sept
mirage8–130.0321%5 Sept
mirage7–130.0127%5 Sept
train3–130.0124%4 Sept
mirage6–13-0.0214%3 Sept
train13–3-0.0141%24 Aug
mirage12–120.0115%23 Aug
dust213–100.0122%23 Aug
mirage2–13-0.0126%20 Aug
dust27–13-0.0345%17 Aug
dust213–90.0630%17 Aug
anubis10–130.0338%15 Aug
train12–12-0.0038%15 Aug
dust213–90.0126%10 Aug
train13–40.1034%8 Aug
mirage13–9-0.0234%7 Aug
agency13–80.0331%7 Aug
inferno4–13-0.0333%6 Aug
mirage9–130.0919%6 Aug
mirage12–120.0421%5 Aug
vertigo3–13-0.0317%5 Aug
jura13–60.1136%5 Aug
ancient7–13-0.0326%2 Aug
mirage13–9-0.0218%2 Aug
overpass8–130.0124%2 Aug
dust213–100.0633%2 Aug
dust216–140.0720%31 Jul
dust213–90.0624%31 Jul
inferno7–13-0.0427%30 Jul
jura13–00.0935%30 Jul
train13–100.0317%27 Jul
mirage13–110.0423%26 Jul
dust213–2-0.0427%26 Jul
mirage13–100.0126%25 Jul
inferno13–110.0429%25 Jul
inferno12–120.0228%24 Jul
office13–60.0422%24 Jul
anubis13–8-0.0130%20 Jul
train13–20.0243%20 Jul
dust213–8-0.0530%20 Jul
train13–100.0629%20 Jul
ancient4–13-0.0524%20 Jul
ancient6–13-0.0415%19 Jul
dust211–130.0324%19 Jul
dust210–13-0.0128%19 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →