escottie

escottie — CS2 Stats

76561197988911399[U:1:28645671]Steam profile ↗✓ No bans

865Tracked matches69%Win rate2020Tracked since
CSDB Rating7.4 StrongHybrid Rifler
Premier CS Rating27,838Top 5% of 819 CSDB-tracked playersRed band · top ~1.6% of ranked players (population est.)
CSDB Leaderboard#242 of 7911 tracked
Ladder ranks via Leetify

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CSDB.GGescottiePREMIER27,838 · Red bandcsdb.gg/stats

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Performance scores

Aim90
Positioning54
Utility61

0–100 skill scores via Leetify.

Recent form

HOT71281Last 10071%Win rateLWWLWWLWWW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating

Player DNA

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

Aim9.0
Aggression5.7
Utility6.1
Positioning5.4
Opening Duels2.0
Clutch4.4

Sharp aimerStrong CT-side opener

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 95% playstyle similarity

Most alike: opening-duel success, 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

Strengths

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 49% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.0
Positioning5.4
Utility6.1
Mechanics7.4
Opening Duels2.3
Win Impact10.0

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time522ms+12ms
first ⅓ avg 510ms → last ⅓ avg 522ms
Headshot accuracy14.6%+0.2%
first ⅓ avg 14.4% → last ⅓ avg 14.6%

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

0.29Best rating — grail 13–1
130Biggest win — mirage
9Longest win streak
118In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 90% over 10trainWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageS2820871%0.03
ancientS1612475%-0.00
cacheS109190%0.09
dust2A85363%0.03
anubisA85363%0.09
infernoB63350%0.02
nukeS65183%0.07
trainD62433%0.04
vertigo43175%0.05
grail32167%0.13
office220100%0.09
overpass110100%0.05
warden110100%0.02
agency110100%0.15

Across the last 100 tracked matches.

Faceit stats

Combat

1,094Matches
62%Win rate
1.28Avg K/D
78.9ADR
41%Headshot %

Clutches & streaks

42%1v1 clutch win
22%1v2 clutch win
16Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage10060%1.0615.9
Ancient5265%1.1215.9
Nuke2060%1.2417.2
Dust21968%1.0817.9
Inferno1861%1.3316.5
Anubis1457%1.1116.2
Vertigo1354%1.2118.0
Overpass771%1.1417.4

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.

14.5%Headshot accuracy
43.6%Accuracy (enemy spotted)
44.8%Spray accuracy
83.1%Counter-strafing
8.5°Preaim
516msReaction time
27.5%T opening success
48.7%CT opening success
0.53Enemies flashed / flash
11.7%Flash assists
9.04HE damage / grenade
8.83Flashes / 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 14.4666% — below the 15% mark we flag

    Aim Training
  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 27.5068% — below the 40% mark we flag

Spend your practice time on Train

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
dust211–130.0516%28 Aug
cache11–20.0120%26 Aug
cache13–100.0913%26 Aug
inferno7–130.0117%26 Aug
cache13–70.0313%23 Aug
mirage13–110.129%22 Aug
ancient8–13-0.0318%12 Aug
mirage13–8-0.0222%12 Aug
dust216–140.0420%9 Aug
ancient13–80.0611%9 Aug
ancient13–40.009%9 Aug
nuke13–2-0.0330%8 Aug
mirage2–130.0318%8 Aug
mirage0–5-0.0329%8 Aug
nuke11–130.1018%7 Aug
mirage13–00.1712%2 Aug
vertigo13–40.039%29 Jul
vertigo13–80.075%29 Jul
anubis8–130.0113%25 Jul
mirage11–130.0113%25 Jul
cache13–80.0614%25 Jul
ancient13–90.0010%24 Jul
mirage13–80.0616%21 Jul
ancient13–30.0413%21 Jul
dust215–15-0.0221%13 Jul
mirage13–100.0413%13 Jul
cache10–130.0314%11 Jul
mirage13–9-0.045%11 Jul
mirage13–11-0.0414%9 Jul
anubis13–10.0910%9 Jul
cache13–20.069%9 Jul
nuke13–40.0718%2 Jul
ancient13–5-0.0510%31 May
ancient13–2-0.008%31 May
dust213–70.0024%31 May
inferno10–20.0725%31 May
mirage11–130.0414%31 May
nuke13–40.098%30 May
mirage0–130.0062%30 May
mirage13–80.127%30 May
anubis5–130.1528%28 May
anubis13–60.1618%28 May
inferno13–80.0215%18 May
dust213–10.1319%17 May
mirage13–80.1722%17 May
overpass7–20.054%17 May
anubis9–130.015%17 May
mirage10–130.1615%16 May
inferno14–160.0614%16 May
cache13–20.1527%16 May
ancient13–40.0113%16 May
mirage13–50.0412%16 May
warden13–50.0217%16 May
cache13–30.1229%16 May
cache13–60.2513%12 May
cache13–110.0925%10 May
train1–80.0011%25 Apr
vertigo13–50.1210%11 Apr
anubis13–20.0815%6 Apr
anubis13–50.1122%6 Apr
office13–110.018%22 Mar
office13–20.1710%22 Mar
train5–13-0.015%10 Sept
train13–50.1219%10 Sept
mirage2–13-0.0415%3 Sept
grail13–90.0111%28 Aug
grail7–130.1026%27 Aug
anubis13–10.086%20 Aug
dust213–110.0425%9 Aug
agency13–60.1518%9 Aug
mirage13–30.0511%19 Jul
train13–110.1711%18 Jul
train8–13-0.110%1 Jun
ancient13–9-0.0021%26 May
train8–130.0517%26 May
dust217–19-0.0119%13 May
grail13–10.2917%8 May
mirage13–11-0.0411%7 Mar
ancient13–9-0.0218%7 Mar
mirage13–8-0.0413%26 Feb
ancient9–13-0.0214%14 Feb
inferno13–9-0.0315%12 Feb
ancient14–16-0.0112%13 Jan
mirage13–110.0612%3 Jan
ancient13–9-0.0012%4 Dec
ancient13–60.019%7 Nov
mirage13–70.0615%5 Nov
mirage13–100.016%29 Oct
ancient13–7-0.0118%27 Oct
vertigo9–13-0.0115%26 Oct
nuke13–90.0217%26 Oct
mirage10–13-0.046%22 Oct
inferno11–13-0.0212%19 Oct
mirage13–100.0620%17 Oct
nuke13–40.1619%10 Oct
mirage13–80.0118%8 Oct
dust222–20-0.0018%7 Oct
mirage13–110.0017%7 Oct
mirage13–6-0.0228%6 Oct
ancient10–13-0.035%14 Sept

Match data via Leetify.

Recent teammates

Milestones

2.5K ELO500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →