zainal

zainal — CS2 Stats

US76561198146513145[U:1:186247417]Steam profile ↗✓ No bans

195Tracked matches52%Win rate2025Tracked since
124Hours in CS
CSDB Rating4.5 Developing
Premier CS Rating18,411Purple band · top ~14.8% of ranked players (population est.)
CSDB Leaderboard#26851 of 57921 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=7,746), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate57.3%44.2%47.1%above
Shot accuracy0.9%11.7%12.8%12.0% short
Kill/death ratio0.921.031.080.16 short
Match win rate52.6%45.2%46.7%above

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGzainalPREMIER18,411 · Purple bandcsdb.gg/stats

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Performance scores

Aim53
Positioning46
Utility45

0–100 skill scores via Leetify.

Recent form

HOT44515Last 10044%Win rateWWLWWWLLWW

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating

Player DNA

Aim5.3
Aggression2.8
Utility4.5
Positioning4.6
Opening Duels0.0

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 74% 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

T-side openings. Opening success drops from 39% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 637ms 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
Positioning4.6
Utility4.5
Mechanics4.5
Opening Duels1.1
Win Impact5.6

Composite 4.5/10 (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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time635ms−20ms
first ⅓ avg 655ms → last ⅓ avg 635ms
Headshot accuracy21.0%+1.0%
first ⅓ avg 20.0% → last ⅓ avg 21.0%

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

0.10Best rating — mirage 13–2
131Biggest win — dust2
4Longest win streak
W2Current streak
29In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 50% over 18ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C33141942%-0.02
mirageB27131448%-0.00
infernoB189950%-0.03
overpassB115645%-0.02
ancientD51420%-0.04
nuke41325%-0.03
anubis21150%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

5,986Lifetime kills
0.92K/D
371Matches
52.6%Match win rate · Top 10% of Purple band
57.3%Headshot % · Top 10% of Purple band
0.9%Shot accuracy
929MVPs
124Hours (in match)
289Bombs planted
47Bombs defused

Most-used weapons

Lifetime map wins

923dust2
593inferno
302nuke
39train
36vertigo
10office
4lake
1italy

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.

21.3%Headshot accuracy
32.0%Accuracy (enemy spotted)
34.5%Spray accuracy
70.2%Counter-strafing
10.7°Preaim
637msReaction time
20.7%T opening success
39.1%CT opening success
0.61Enemies flashed / flash
1.9%Flash assists
8.26HE damage / grenade
5.13Flashes / 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 20.6836% — 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–30.0728%17 Mar
mirage13–40.0528%14 Mar
dust24–13-0.1023%11 Mar
dust213–50.0015%10 Mar
dust213–30.0532%10 Mar
dust213–80.0218%9 Mar
overpass4–13-0.0516%9 Mar
overpass6–13-0.0010%4 Mar
mirage13–5-0.0712%4 Mar
mirage13–90.0121%4 Mar
mirage11–130.0320%2 Mar
dust211–130.0236%2 Mar
dust213–100.0126%26 Feb
mirage10–130.0423%26 Feb
inferno5–13-0.067%26 Feb
mirage13–8-0.0518%25 Feb
dust213–7-0.0123%22 Feb
dust210–13-0.0521%22 Feb
dust215–15-0.0226%22 Feb
inferno13–16-0.0419%19 Feb
ancient7–13-0.0224%18 Feb
mirage13–3-0.0219%17 Feb
inferno13–5-0.0526%17 Feb
mirage11–130.0222%17 Feb
mirage8–13-0.0619%17 Feb
mirage13–16-0.0426%17 Feb
overpass13–10-0.0312%16 Feb
inferno13–6-0.0311%16 Feb
dust213–80.0120%16 Feb
overpass9–13-0.0532%16 Feb
inferno13–6-0.0324%15 Feb
dust29–13-0.0316%15 Feb
mirage15–15-0.0121%15 Feb
dust25–13-0.0433%14 Feb
dust26–13-0.0219%14 Feb
dust213–5-0.0628%14 Feb
dust213–5-0.0317%14 Feb
dust25–13-0.0828%13 Feb
dust29–13-0.0523%13 Feb
mirage13–30.0917%13 Feb
mirage6–130.0021%13 Feb
ancient7–13-0.082%13 Feb
mirage13–8-0.0526%13 Feb
dust211–13-0.0421%13 Feb
overpass13–9-0.0012%12 Feb
overpass13–11-0.0217%12 Feb
inferno13–4-0.0213%12 Feb
ancient8–13-0.0520%11 Feb
dust213–10.0628%11 Feb
mirage15–15-0.0018%11 Feb
mirage10–13-0.0320%10 Feb
dust27–13-0.0715%10 Feb
inferno13–30.0114%9 Feb
dust213–60.0325%9 Feb
overpass8–13-0.0517%8 Feb
mirage13–11-0.0514%8 Feb
dust211–13-0.0527%8 Feb
inferno9–13-0.0618%8 Feb
inferno16–13-0.0625%7 Feb
mirage10–13-0.0132%7 Feb
mirage13–40.018%3 Feb
inferno15–15-0.0422%2 Feb
anubis2–13-0.0715%1 Feb
inferno11–13-0.0121%1 Feb
dust29–13-0.0714%1 Feb
overpass9–13-0.0026%30 Jan
inferno9–13-0.0521%30 Jan
dust29–13-0.0415%29 Jan
inferno2–13-0.0937%29 Jan
ancient13–9-0.0012%28 Jan
dust213–40.0729%28 Jan
inferno6–13-0.0216%28 Jan
nuke8–13-0.0822%28 Jan
inferno11–130.0316%27 Jan
mirage10–130.0022%26 Jan
overpass13–40.0117%25 Jan
mirage15–15-0.0111%25 Jan
dust213–60.0022%23 Jan
mirage2–13-0.0516%23 Jan
dust26–130.0410%22 Jan
inferno13–60.0226%22 Jan
mirage13–20.1019%22 Jan
dust213–60.0713%21 Jan
anubis13–40.0237%20 Jan
nuke8–130.0429%19 Jan
dust22–5-0.0929%18 Jan
dust27–13-0.0719%17 Jan
ancient9–13-0.077%17 Jan
dust211–13-0.0418%14 Jan
overpass6–13-0.0424%14 Jan
nuke8–13-0.0425%14 Jan
dust216–13-0.0518%13 Jan
inferno13–3-0.0721%13 Jan
mirage7–13-0.0416%11 Jan
inferno13–4-0.0415%11 Jan
mirage13–90.0423%11 Jan
nuke13–6-0.0523%11 Jan
mirage13–60.0219%10 Jan
dust211–130.0010%10 Jan
overpass13–90.0325%10 Jan

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 →