BIG E Z

BIG E Z — CS2 Stats

76561199481456386[U:1:1521190658]Steam profile ↗✓ No bans

2,976Tracked matches46%Win rate2024Tracked since
CSDB Rating6.0 SolidHybrid Rifler
Premier CS Rating17,098Purple band · top ~20% of ranked players (population est.)
CSDB Leaderboard#10144 of 17635 tracked
FaceitLevel 4 · 1,050 ELOTop 81.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

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CSDB.GGBIG E ZFACEITLevel 4 · 1,050 ELOSTANDINGTop 81.0% of rankedPREMIER17,098 · Purple bandcsdb.gg/stats

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Performance scores

Aim83
Positioning54
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY434710Last 10043%Win rateWTLWWLTLWL

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

Player DNA

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

Aim8.3
Aggression5.0
Utility4.1
Positioning5.4
Opening Duels1.5
Clutch3.0

Excellent counter-strafingLimited 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 91% playstyle similarity

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

Where you differ: 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. 603ms 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

Aim8.3
Positioning5.4
Utility4.1
Mechanics8.6
Opening Duels1.5
Win Impact3.7

Composite 6.0/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time605ms+22ms
first ⅓ avg 584ms → last ⅓ avg 605ms
Headshot accuracy15.1%−3.9%
first ⅓ avg 19.0% → last ⅓ avg 15.1%

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

0.16Best rating — inferno 8–1
131Biggest win — inferno
6Longest win streak
73In matches decided by ≤2 rounds
2Overtime games

Map breakdown

anubisBest map · 71% over 7dust2Weakest map · 17% over 18
MapGradePlayedRecordWin rateAvg rating
dust2D1831517%-0.02
trainC1661038%0.02
nukeB115645%-0.01
ancientB115645%0.02
infernoC104640%0.01
mirageA106460%0.01
cacheA85363%0.01
anubisS75271%0.03
vertigoB63350%0.01
overpass21150%0.03
italy1010%-0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

222Matches
48%Win rate
1.13Avg K/D
80.5ADR
43%Headshot %

Clutches & streaks

35%1v1 clutch win
16%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage5951%0.9915.9
Dust25040%0.9916.1
Inferno2934%1.1715.1
Ancient2850%1.3019.1
Nuke1953%1.4818.9
Anubis1765%1.0817.1
Train1164%1.3116.6
Overpass757%1.3619.0

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.

14.3%Headshot accuracy
39.9%Accuracy (enemy spotted)
41.9%Spray accuracy
88.8%Counter-strafing
8.6°Preaim
603msReaction time
32.7%T opening success
39.5%CT opening success
0.46Enemies flashed / flash
10.5%Flash assists
8.89HE damage / grenade
4.27Flashes / 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 14.3142% — 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 0.4572 — 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 32.7418% — below the 40% mark we flag

Spend your practice time on Dust 2

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 18 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–100.0612%28 Aug
train12–120.1320%28 Aug
dust21–11-0.0825%27 Aug
train13–5-0.058%27 Aug
train13–10-0.056%27 Aug
train5–130.0520%27 Aug
nuke12–12-0.0412%26 Aug
ancient8–13-0.0022%26 Aug
anubis13–10-0.0212%26 Aug
ancient9–130.0819%26 Aug
cache13–5-0.0213%26 Aug
vertigo7–13-0.0418%26 Aug
anubis1–90.0421%25 Aug
train10–13-0.0425%25 Aug
inferno7–13-0.0413%25 Aug
nuke13–50.0917%25 Aug
train8–130.0012%25 Aug
anubis13–110.0210%25 Aug
dust25–13-0.068%25 Aug
anubis10–13-0.0314%25 Aug
train6–130.0410%25 Aug
vertigo13–60.0414%25 Aug
inferno13–110.0318%25 Aug
train13–60.1113%24 Aug
inferno8–10.1614%24 Aug
cache5–13-0.014%24 Aug
inferno13–10.0117%24 Aug
inferno6–13-0.0721%24 Aug
train12–12-0.044%24 Aug
train12–120.0117%24 Aug
dust24–13-0.0627%24 Aug
nuke7–130.0125%24 Aug
anubis13–50.058%24 Aug
dust212–12-0.0218%24 Aug
mirage4–13-0.1017%21 Aug
cache13–70.0618%21 Aug
inferno6–13-0.0234%21 Aug
ancient16–13-0.085%21 Aug
mirage13–4-0.0124%21 Aug
vertigo13–11-0.0114%21 Aug
nuke12–6-0.0715%20 Aug
dust22–7-0.045%20 Aug
mirage13–110.0718%20 Aug
mirage9–130.0324%20 Aug
mirage9–130.0618%20 Aug
ancient5–130.0012%19 Aug
anubis13–90.1118%19 Aug
dust20–13-0.0722%19 Aug
nuke4–13-0.0342%19 Aug
dust212–12-0.0248%19 Aug
dust29–13-0.0414%19 Aug
dust213–80.1023%19 Aug
ancient16–14-0.0210%18 Aug
mirage13–90.0324%18 Aug
ancient5–130.0525%18 Aug
overpass4–130.0141%18 Aug
nuke13–20.0216%18 Aug
ancient9–13-0.0120%18 Aug
ancient8–20.1021%18 Aug
dust212–120.0114%18 Aug
inferno10–13-0.0515%18 Aug
cache13–9-0.006%18 Aug
train8–13-0.090%18 Aug
dust213–90.0627%18 Aug
inferno9–130.1217%17 Aug
mirage13–11-0.0216%17 Aug
vertigo5–130.0318%17 Aug
vertigo10–50.1028%17 Aug
nuke11–13-0.0513%17 Aug
cache8–130.0521%17 Aug
train11–13-0.0313%16 Aug
cache13–9-0.0313%15 Aug
dust212–12-0.0314%15 Aug
train13–90.1315%14 Aug
dust210–130.0213%14 Aug
ancient13–80.0628%14 Aug
train13–70.0619%14 Aug
mirage12–12-0.0019%14 Aug
dust29–13-0.0216%14 Aug
nuke7–130.0633%14 Aug
nuke2–13-0.0514%14 Aug
train13–90.1223%14 Aug
cache13–100.0423%14 Aug
ancient13–10.0123%13 Aug
mirage13–100.0125%13 Aug
nuke13–11-0.0315%13 Aug
inferno13–60.0016%13 Aug
dust23–13-0.0536%13 Aug
mirage13–30.0810%13 Aug
dust28–130.0315%13 Aug
dust213–4-0.0013%13 Aug
vertigo9–13-0.0415%13 Aug
cache3–13-0.0325%13 Aug
overpass13–50.0518%12 Aug
train11–130.0023%12 Aug
italy10–13-0.093%12 Aug
nuke13–7-0.0118%11 Aug
dust212–12-0.0217%11 Aug
inferno7–130.0224%11 Aug
ancient9–13-0.0127%11 Aug

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 →