Westwood7654

Westwood7654 — CS2 Stats

AU76561198048074553[U:1:87808825]Steam profile ↗✓ No bans

169Tracked matches33%Win rate2020Tracked since
CSDB Rating4.1 DevelopingHybrid Rifler
Ladder ranks via Leetify

Performance scores

Aim62
Positioning39
Utility4

0–100 skill scores via Leetify.

Recent form

COLD315613Last 10031%Win rateLLLLWLWLTL

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.

Aim6.2
Aggression4.5
Utility0.4
Positioning3.9
Opening Duels1.6

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 76% 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. 684ms 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

Aim6.2
Positioning3.9
Utility0.4
Mechanics8.3
Opening Duels1.6
Win Impact0.0

Composite 4.1/10 (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-0.03+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time686ms−39ms
first ⅓ avg 724ms → last ⅓ avg 686ms
Headshot accuracy12.2%+2.1%
first ⅓ avg 10.0% → last ⅓ avg 12.2%

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

0.08Best rating — inferno 9–2
130Biggest win — mirage
4Longest win streak
L4Current streak
210In matches decided by ≤2 rounds
1Overtime games

Map breakdown

dust2Best map · 42% over 12nukeWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoD1731418%-0.02
trainC145936%-0.02
mirageD134931%-0.02
dust2C125742%-0.02
overpassC114736%-0.03
ancientC104640%-0.03
nukeD61517%-0.05
cache4040%-0.03
anubis31233%-0.05
vertigo31233%-0.03
office2020%-0.05
agency1010%0.01
golden110100%0.01
palacio110100%-0.02
edin110100%-0.04
thera1010%0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

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

12.4%Headshot accuracy
34.4%Accuracy (enemy spotted)
33.0%Spray accuracy
87.1%Counter-strafing
7.8°Preaim
684msReaction time
31.0%T opening success
41.9%CT opening success
0.04Enemies flashed / flash
0.0%Flash assists
1.28HE damage / grenade
0.12Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.4108% — below the 15% mark we flag

    Aim Training
  2. 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 0.0384 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 30.9948% — below the 40% mark we flag

Spend your practice time on Nuke

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient3–13-0.1210%20 Aug
mirage2–13-0.090%17 May
cache2–13-0.0419%29 Apr
dust24–13-0.0215%12 Apr
mirage13–80.016%28 Mar
overpass3–13-0.0417%19 Jan
dust213–80.0113%11 Jan
train8–13-0.029%2 Jan
ancient12–12-0.074%18 Dec
office11–13-0.0420%10 Dec
mirage0–13-0.120%9 Dec
inferno3–13-0.0016%9 Dec
ancient9–13-0.0318%8 Dec
dust213–2-0.0119%5 Dec
dust24–13-0.1212%4 Dec
train13–100.0012%4 Dec
overpass13–3-0.048%3 Dec
inferno12–12-0.0117%2 Dec
dust210–13-0.0313%2 Dec
agency12–120.015%27 Nov
mirage13–90.0619%27 Nov
overpass8–130.008%23 Nov
train13–4-0.0117%23 Nov
train8–13-0.039%21 Nov
inferno13–20.034%21 Nov
overpass4–13-0.0618%21 Nov
train9–130.0019%21 Nov
dust213–5-0.0213%20 Nov
inferno2–13-0.1017%16 Nov
inferno9–130.0115%5 Nov
overpass13–5-0.004%4 Nov
golden13–100.0112%4 Nov
inferno2–13-0.0317%1 Nov
mirage13–00.0232%1 Nov
ancient13–40.019%1 Nov
inferno13–60.059%30 Oct
overpass13–80.0319%30 Oct
office12–12-0.0715%14 Oct
overpass4–13-0.0315%11 Oct
dust212–12-0.0129%11 Oct
palacio13–11-0.027%9 Oct
train6–13-0.0315%9 Oct
inferno4–13-0.028%22 Jun
mirage5–13-0.106%22 Jun
dust213–00.0818%28 May
train13–100.0111%28 May
train12–12-0.0721%27 May
train13–8-0.0425%21 May
ancient11–13-0.026%20 May
train9–130.0318%14 May
inferno3–13-0.0117%13 May
ancient2–13-0.0515%13 May
nuke8–13-0.0526%3 Feb
nuke5–13-0.0622%23 Jan
train6–13-0.0915%22 Jan
overpass11–13-0.0411%21 Jan
ancient13–90.0010%20 Jan
train3–13-0.0427%13 Jan
dust213–90.0111%2 Dec
edin13–3-0.048%24 Nov
nuke13–80.0314%24 Nov
train7–13-0.0112%20 Nov
inferno6–13-0.0332%20 Nov
anubis1–13-0.029%20 Nov
train13–5-0.0217%17 Nov
ancient5–13-0.0114%13 Nov
thera8–130.0817%11 Nov
mirage11–13-0.0315%11 Nov
vertigo6–130.0110%26 May
mirage7–130.016%28 Apr
dust27–13-0.0120%21 Apr
overpass11–13-0.086%22 Feb
inferno11–13-0.1015%16 Feb
inferno5–130.0013%11 Feb
vertigo3–13-0.0820%19 Dec
ancient13–7-0.0113%19 Dec
anubis13–9-0.057%6 Dec
ancient13–10-0.057%22 Nov
inferno15–150.017%26 Sept
vertigo13–10-0.0124%26 Sept
inferno5–130.009%14 Sept
mirage13–70.019%14 Sept
nuke2–13-0.135%14 Sept
cache8–80.0514%23 Aug
cache8–8-0.0610%23 Aug
mirage8–8-0.025%22 Aug
mirage8–80.004%20 Aug
overpass7–90.0116%20 Aug
inferno9–20.0810%20 Aug
nuke8–8-0.0112%15 Aug
mirage7–90.0213%14 Aug
anubis4–9-0.0815%9 Aug
overpass9–7-0.036%9 Aug
nuke5–9-0.080%9 Aug
cache7–9-0.098%8 Aug
inferno3–9-0.107%15 Jul
inferno3–9-0.0615%29 Jun
dust28–8-0.100%24 Jun
mirage3–9-0.090%24 Jun
dust27–9-0.0610%22 Jun

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 →