Barth Booch — CS2 Stats

76561198044508228[U:1:84242500]

406Tracked matches55%Win rate2020Tracked since
CSDB Rating5.7 Solid
Premier CS Rating15,900Purple band · top ~24.8% of ranked players (population est.)
CSDB Leaderboard#8677 of 13927 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGBarth BoochFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER15,900 · Purple bandcsdb.gg/stats

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Performance scores

Aim55
Positioning64
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY51445Last 10051%Win rateTLWWLWWWLL

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Aim5.5
Aggression8.1
Utility5.6
Positioning6.4
Opening Duels2.8

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

b1t

Plays most like b1t 89% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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

Reaction time. 628ms 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

Aim5.5
Positioning6.4
Utility5.6
Mechanics6.4
Opening Duels2.8
Win Impact6.7

Composite 5.7/10 (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 rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time625ms−20ms
first ⅓ avg 645ms → last ⅓ avg 625ms
Headshot accuracy11.8%−1.9%
first ⅓ avg 13.7% → last ⅓ avg 11.8%

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

0.17Best rating — train 5–13
131Biggest win — mirage
8Longest win streak
87In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 74% over 19nukeWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
mirageB25131252%0.01
infernoS1914574%0.02
nukeD1551033%0.01
ancientD124833%0.00
cacheB105550%0.01
dust2A106460%0.04
anubisC52340%0.02
train32167%0.05
overpass1010%-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

12Matches
58%Win rate
1.21Avg K/D
ADR
45%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno1100%1.2714.0
Vertigo10%0.8814.0

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.

11.8%Headshot accuracy
33.5%Accuracy (enemy spotted)
34.9%Spray accuracy
78.9%Counter-strafing
9.3°Preaim
628msReaction time
35.0%T opening success
47.2%CT opening success
0.72Enemies flashed / flash
9.2%Flash assists
8.19HE damage / grenade
6.25Flashes / 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 11.7991% — 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 34.9996% — 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.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage15–15-0.0111%20 Aug
ancient4–9-0.0714%20 Aug
inferno13–50.0413%20 Aug
mirage13–2-0.024%17 Aug
anubis10–13-0.0010%14 Aug
inferno13–90.0415%14 Aug
inferno13–110.0315%13 Aug
nuke13–70.028%13 Aug
cache1–13-0.0114%12 Aug
nuke2–130.029%12 Aug
inferno13–70.016%10 Aug
nuke7–13-0.1017%8 Aug
dust22–130.0210%8 Aug
ancient13–90.0219%6 Aug
dust213–70.015%6 Aug
mirage13–11-0.009%6 Aug
inferno3–13-0.1416%5 Aug
dust27–130.0217%5 Aug
nuke13–70.127%4 Aug
nuke1–13-0.0428%4 Aug
mirage13–10.1310%3 Aug
nuke5–13-0.026%31 Jul
cache13–70.0014%31 Jul
mirage6–13-0.038%26 Jul
dust213–70.0413%26 Jul
cache9–130.0018%25 Jul
cache13–60.0612%25 Jul
cache13–5-0.075%22 Jul
inferno13–10.119%22 Jul
cache8–130.0212%19 Jul
ancient7–13-0.067%19 Jul
inferno13–6-0.0115%18 Jul
mirage7–130.0211%16 Jul
cache5–130.1020%15 Jul
mirage3–130.0320%15 Jul
mirage13–110.0212%7 Jul
cache12–12-0.017%7 Jul
cache7–8-0.0225%27 Jun
ancient3–13-0.066%26 Jun
inferno10–130.0515%26 Jun
mirage7–13-0.076%26 Jun
ancient16–130.0517%26 Jun
mirage7–130.0421%25 Jun
nuke2–130.0211%25 Jun
dust215–150.0719%24 Jun
cache13–110.0713%24 Jun
dust26–130.0518%24 Jun
overpass5–13-0.0111%24 Jun
mirage13–100.0516%24 Jun
nuke13–90.0110%24 May
inferno13–100.034%24 May
mirage15–150.0210%10 May
mirage14–16-0.0010%10 Jun
mirage13–100.0314%8 Jun
ancient14–160.018%8 Jun
mirage13–8-0.006%7 Jun
nuke4–130.0310%29 Mar
mirage13–9-0.037%28 Mar
nuke11–13-0.0210%25 Mar
ancient8–130.0612%14 Mar
inferno13–30.0218%8 Mar
train13–10-0.036%8 Mar
inferno13–80.0011%8 Mar
dust216–140.0718%7 Mar
ancient13–10.1217%7 Mar
inferno13–9-0.033%6 Mar
anubis13–90.0416%6 Mar
mirage13–110.1120%6 Mar
anubis11–130.0315%5 Mar
mirage3–13-0.0213%4 Mar
ancient13–100.0111%4 Mar
dust213–50.0715%3 Mar
nuke13–110.0216%3 Mar
mirage7–13-0.0016%3 Mar
mirage13–90.048%3 Mar
nuke11–13-0.018%2 Mar
mirage13–80.069%2 Mar
inferno5–13-0.0215%2 Mar
anubis13–60.0812%1 Mar
ancient9–130.0012%1 Mar
dust213–50.0012%27 Feb
mirage6–13-0.0311%27 Feb
inferno11–13-0.0118%27 Feb
inferno13–40.1429%26 Feb
mirage13–90.0216%26 Feb
nuke13–50.0213%26 Feb
train13–40.017%25 Feb
anubis9–13-0.0515%24 Feb
inferno13–90.0817%21 Feb
train5–130.1716%21 Feb
mirage4–13-0.047%21 Feb
inferno10–60.0014%21 Feb
nuke11–130.0619%21 Feb
ancient7–13-0.0511%20 Feb
inferno8–13-0.037%20 Feb
ancient15–15-0.0110%19 Feb
mirage13–100.0219%19 Feb
dust213–40.0315%19 Feb
inferno13–7-0.0113%19 Feb
nuke8–130.0314%18 Feb

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 →