EA$Y @thebookclublibrary

EA$Y @thebookclublibrary — CS2 Stats

US76561198394131907[U:1:433866179]Steam profile ↗✓ No bans

2,564Tracked matches62%Win rate2020Tracked since
CSDB Rating4.4 Developing
Premier CS Rating17,475Purple band · top ~18.5% of ranked players (population est.)
CSDB Leaderboard#29544 of 58488 tracked
WingmanMaster Guardian II
Ladder ranks via Leetify

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CSDB.GGEA$Y @thebookclublibraryPREMIER17,475 · Purple bandcsdb.gg/stats

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Performance scores

Aim42
Positioning41
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY42499Last 10042%Win rateLLWWWWLTLW

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Aim4.2
Aggression4.1
Utility5.3
Positioning4.1
Opening Duels0.8
Clutch3.8

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 77% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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 41% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 585ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.2
Positioning4.1
Utility5.3
Mechanics3.1
Opening Duels1.4
Win Impact8.8

Composite 4.4/10 (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+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time588ms−96ms
first ⅓ avg 684ms → last ⅓ avg 588ms
Headshot accuracy16.1%−2.6%
first ⅓ avg 18.6% → last ⅓ avg 16.1%

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

0.12Best rating — inferno 9–5
131Biggest win — ancient
4Longest win streak
L2Current streak
45In matches decided by ≤2 rounds
15Overtime games

Map breakdown

ancientBest map · 60% over 10nukeWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
cacheC2191243%-0.03
dust2C1871139%-0.04
mirageC1771041%-0.02
infernoC1761135%-0.02
ancientA106460%-0.02
nukeD93633%-0.03
anubisA53260%-0.01
overpass21150%-0.00
shelter1010%-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

646Matches
47%Win rate
0.81Avg K/D
65.3ADR
40%Headshot %

Clutches & streaks

39%1v1 clutch win
17%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis2748%0.7513.4
Mirage2348%0.8410.7
Dust22157%0.7411.4
Inferno2050%0.8012.4
Nuke1436%0.7010.5
Ancient1060%0.689.8
Overpass757%0.7914.0
Vertigo2100%0.9016.0

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.

16.1%Headshot accuracy
31.5%Accuracy (enemy spotted)
31.8%Spray accuracy
64.0%Counter-strafing
10.9°Preaim
585msReaction time
24.8%T opening success
41.4%CT opening success
0.64Enemies flashed / flash
5.8%Flash assists
10.67HE damage / grenade
13.52Flashes / 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 24.8453% — 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 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage4–13-0.1021%30 Aug
cache3–130.0118%27 Aug
inferno13–10-0.0021%27 Aug
ancient13–100.0220%27 Aug
dust213–3-0.038%19 Aug
inferno13–10-0.0526%19 Aug
nuke0–13-0.0113%17 Aug
dust215–15-0.0619%17 Aug
inferno10–130.0516%16 Aug
ancient13–10.0611%16 Aug
ancient13–70.0414%16 Aug
inferno16–130.0310%16 Aug
mirage13–70.0512%16 Aug
anubis4–130.0318%13 Aug
mirage13–10.0325%13 Aug
cache13–40.0216%13 Aug
anubis13–4-0.0211%12 Aug
dust22–13-0.1219%8 Aug
mirage16–13-0.0215%3 Aug
mirage10–13-0.0314%3 Aug
dust215–15-0.0214%3 Aug
cache7–130.0313%2 Aug
mirage16–14-0.0219%2 Aug
inferno15–15-0.0011%2 Aug
cache7–13-0.0215%2 Aug
mirage9–13-0.0311%1 Aug
cache13–9-0.0020%1 Aug
mirage13–110.0014%31 Jul
cache13–80.0233%31 Jul
inferno6–9-0.0223%30 Jul
inferno8–8-0.0515%30 Jul
mirage15–15-0.0413%29 Jul
dust213–11-0.086%29 Jul
ancient16–14-0.0312%27 Jul
dust213–5-0.0415%27 Jul
nuke13–5-0.0612%27 Jul
cache9–13-0.0717%27 Jul
ancient13–10-0.0022%27 Jul
inferno13–8-0.0413%26 Jul
dust211–13-0.029%26 Jul
ancient2–13-0.0913%26 Jul
inferno11–130.0618%26 Jul
cache13–4-0.067%26 Jul
mirage13–16-0.0516%26 Jul
nuke4–130.0522%26 Jul
inferno7–13-0.009%25 Jul
mirage13–60.0113%25 Jul
ancient6–13-0.0518%25 Jul
dust21–13-0.0424%25 Jul
cache1–13-0.1031%25 Jul
inferno9–50.1224%24 Jul
inferno5–9-0.1420%24 Jul
nuke9–130.0222%23 Jul
cache7–13-0.0730%23 Jul
inferno13–90.0117%23 Jul
dust29–13-0.0314%22 Jul
cache15–15-0.0214%22 Jul
inferno1–9-0.2817%22 Jul
inferno5–9-0.168%22 Jul
anubis13–6-0.0418%21 Jul
shelter8–13-0.054%18 Jul
cache10–13-0.0921%18 Jul
anubis13–90.039%17 Jul
cache15–150.0015%17 Jul
mirage9–130.0022%17 Jul
ancient13–80.0117%17 Jul
dust213–16-0.0510%15 Jul
cache13–8-0.0327%15 Jul
mirage7–13-0.0422%15 Jul
cache13–10-0.0427%14 Jul
inferno2–9-0.0426%14 Jul
nuke4–9-0.0811%14 Jul
dust214–16-0.0812%14 Jul
ancient4–13-0.0226%14 Jul
nuke13–5-0.0221%14 Jul
cache4–13-0.108%12 Jul
cache13–6-0.0416%12 Jul
dust213–7-0.0513%12 Jul
dust213–4-0.0515%12 Jul
dust213–6-0.0413%12 Jul
nuke10–13-0.0428%12 Jul
anubis8–13-0.0417%12 Jul
mirage7–13-0.0217%12 Jul
cache13–100.0512%11 Jul
nuke7–13-0.056%11 Jul
dust27–10.1050%11 Jul
dust215–15-0.0411%11 Jul
cache13–60.0130%11 Jul
mirage13–70.0421%11 Jul
dust212–12-0.0717%8 Jul
cache10–13-0.0516%8 Jul
cache8–13-0.059%8 Jul
ancient11–13-0.1018%6 Jul
mirage11–13-0.0418%5 Jul
nuke13–9-0.048%5 Jul
overpass13–60.0122%5 Jul
dust213–16-0.0614%3 Jul
mirage9–13-0.0815%3 Jul
overpass6–13-0.0229%3 Jul
inferno5–130.1022%2 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 →