Westlemons- Static Tracker

Westlemons- Static Tracker — CS2 Stats

76561199524994306[U:1:1564728578]Steam profile ↗✓ No bans

1,327Tracked matches57%Win rate2023Tracked since
785Hours in CS23Hrs last 2 wks
CSDB Rating5.8 SolidPassive Rifler
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGWestlemons- Static TrackerFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim73
Positioning41
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY51472Last 10051%Win rateLWWLWLLWWW

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

Player DNA

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

Aim7.3
Aggression4.4
Utility4.5
Positioning4.1
Opening Duels2.0
Clutch3.0

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 87% playstyle similarity

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

Where you differ: lower positioning profile; 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 32 points — deaths here waste a strong aim profile.

Reaction time. 563ms 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

Aim7.3
Positioning4.1
Utility4.5
Mechanics8.0
Opening Duels2.0
Win Impact7.2

Composite 5.8/10 (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 rating-0.04+0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time541ms−78ms
first ⅓ avg 619ms → last ⅓ avg 541ms
Headshot accuracy20.2%+0.7%
first ⅓ avg 19.5% → last ⅓ avg 20.2%

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

0.07Best rating — debris 5–9
130Biggest win — ancient
4Longest win streak
146In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 80% over 5infernoWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
trainB147750%-0.03
mirageC145936%-0.03
anubisS139469%-0.03
ancientS128467%-0.04
infernoD112918%-0.09
cacheA74357%-0.05
nukeS64267%-0.11
dust2S54180%-0.04
debris41325%-0.02
eldorado42250%-0.05
fachwerk42250%-0.05
boulder31233%-0.03
overpass110100%-0.01
poseidon1010%-0.00
shelter110100%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

18,617Lifetime kills
0.87K/D
1,379Matches
47.4%Match win rate · Top 50% of tracked players
52.8%Headshot % · Top 25% of tracked players
0.0%Shot accuracy
3,327MVPs
501Hours (in match)
987Bombs planted
299Bombs defused

Most-used weapons

Lifetime map wins

1,995nuke
1,778inferno
1,087dust2
799vertigo
762train
104office
30italy
6ar_shoots

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

Faceit stats

Combat

73Matches
56%Win rate
0.73Avg K/D
62.3ADR
48%Headshot %

Clutches & streaks

35%1v1 clutch win
16%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis1856%0.6911.3
Mirage1650%0.8413.1
Ancient1369%0.7711.2
Inferno933%0.598.4
Dust2757%0.6110.4
Cache757%0.7511.1
Nuke3100%0.8113.3

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.

19.1%Headshot accuracy
34.0%Accuracy (enemy spotted)
35.4%Spray accuracy
85.9%Counter-strafing
10.5°Preaim
563msReaction time
32.1%T opening success
44.2%CT opening success
0.45Enemies flashed / flash
7.9%Flash assists
6.58HE damage / grenade
6.69Flashes / 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. 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 0.4532 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 32.067% — 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.

18% 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
anubis8–13-0.0511%27 Aug
inferno16–14-0.0414%27 Aug
ancient13–30.0114%27 Aug
inferno1–2-0.130%27 Aug
overpass13–7-0.0130%26 Aug
inferno2–13-0.0656%26 Aug
ancient8–13-0.0233%25 Aug
anubis16–14-0.0510%25 Aug
train13–10-0.0422%25 Aug
ancient13–0-0.0413%25 Aug
train5–13-0.0423%24 Aug
mirage16–13-0.0321%23 Aug
ancient13–8-0.0417%23 Aug
anubis3–13-0.0417%23 Aug
anubis8–13-0.0213%22 Aug
ancient13–11-0.0413%22 Aug
ancient13–110.0220%22 Aug
mirage8–13-0.0521%21 Aug
mirage4–13-0.0315%21 Aug
ancient13–80.0223%21 Aug
dust213–11-0.0413%19 Aug
inferno5–13-0.0914%19 Aug
inferno2–9-0.1436%19 Aug
train3–13-0.0921%17 Aug
anubis13–10-0.0514%17 Aug
mirage5–130.0215%17 Aug
nuke13–6-0.0724%14 Aug
anubis10–13-0.0127%14 Aug
cache13–8-0.0418%14 Aug
dust213–11-0.0921%14 Aug
debris9–6-0.0721%13 Aug
poseidon7–9-0.0035%13 Aug
eldorado9–40.0323%13 Aug
inferno6–9-0.120%13 Aug
nuke3–9-0.2719%13 Aug
dust213–9-0.0117%12 Aug
cache13–40.0328%12 Aug
inferno1–13-0.110%12 Aug
anubis13–5-0.035%12 Aug
mirage5–13-0.0813%12 Aug
mirage16–140.0223%10 Aug
mirage13–20.0320%9 Aug
inferno13–8-0.069%9 Aug
inferno4–13-0.138%9 Aug
eldorado9–50.0114%6 Aug
debris8–80.0015%6 Aug
eldorado6–9-0.076%6 Aug
train13–3-0.0813%5 Aug
boulder10–13-0.0818%4 Aug
boulder9–13-0.0514%3 Aug
train13–70.0219%3 Aug
mirage16–14-0.0323%3 Aug
fachwerk13–9-0.0333%2 Aug
anubis13–110.0125%2 Aug
mirage14–16-0.0124%2 Aug
train13–9-0.0726%1 Aug
ancient9–13-0.0314%1 Aug
cache13–11-0.0419%30 Jul
mirage10–13-0.0319%30 Jul
mirage13–4-0.1375%30 Jul
debris5–90.0717%29 Jul
train6–13-0.0320%29 Jul
train7–13-0.0625%28 Jul
inferno8–13-0.0914%28 Jul
train11–13-0.1050%27 Jul
train6–0-0.020%27 Jul
ancient9–13-0.087%27 Jul
cache5–13-0.0814%26 Jul
anubis13–6-0.0332%26 Jul
ancient13–5-0.0825%26 Jul
cache7–13-0.0522%26 Jul
nuke13–7-0.0916%25 Jul
train13–5-0.0030%25 Jul
anubis13–11-0.0621%25 Jul
mirage11–13-0.0610%25 Jul
nuke13–90.0118%25 Jul
mirage5–130.0125%25 Jul
cache8–13-0.0824%25 Jul
train12–120.0129%24 Jul
inferno8–13-0.0516%24 Jul
anubis13–100.0626%24 Jul
dust210–6-0.0221%24 Jul
ancient5–13-0.1612%23 Jul
train4–130.0616%21 Jul
anubis13–9-0.0319%20 Jul
cache13–6-0.0719%20 Jul
mirage6–13-0.0623%20 Jul
eldorado7–9-0.175%20 Jul
debris5–9-0.1010%20 Jul
nuke6–9-0.1821%20 Jul
train13–100.0231%19 Jul
fachwerk5–13-0.1123%19 Jul
shelter13–11-0.0121%16 Jul
fachwerk13–8-0.0419%16 Jul
fachwerk9–13-0.0015%15 Jul
boulder13–110.0417%14 Jul
ancient16–14-0.0313%14 Jul
anubis13–7-0.0319%14 Jul
nuke9–6-0.0523%14 Jul
dust21–13-0.0310%14 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 →