BigLez

BigLez — CS2 Stats

AU76561199029914213[U:1:1069648485]Steam profile ↗✓ No bans

438Tracked matches47%Win rate2023Tracked since
CSDB Rating4.7 DevelopingSupport
Premier CS Rating16,300Purple band · top ~23.2% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 438 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 36 days played since 5 Apr 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 16,300 -905 6 Apr13 Sept · 23 days played
16,30019,389peak 19,3896 Apr13 Sept
19,509Peak Premier in tracked matches
36Days played since 2026-04-05

Premier CS Rating

  • 3,089 below peak (19,389)
  • -1,274 over 30 days · declining
  • Next: Pink band at 20,000 3,700 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-29
  • Blue band first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGBigLezPREMIER16,300 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim56
Positioning41
Utility58

0–100 skill scores via Leetify.

Recent form

COLD44551Last 10044%Win rateLWLLLWLLLW

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · −3.8pp headshot accuracy · +15ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 14 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 8%
  • Avg reaction 550ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 8%
  • Avg reaction 549ms

Last 20

  • 911 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 542ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: SupportUtility contribution stands above the rest of this profile (+1.9 against its own average).

Aim5.6
Utility5.8
Positioning4.1
Opening Duels1.8

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

NiKo

Plays most like NiKo 78% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 556ms 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

Aim5.6
Positioning4.1
Utility5.8
Mechanics5.3
Opening Duels1.7
Win Impact3.9

Composite 4.7/10 (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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time560ms−41ms
first ⅓ avg 601ms → last ⅓ avg 560ms
Headshot accuracy9.7%−2.8%
first ⅓ avg 12.5% → last ⅓ avg 9.7%

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.

Personal bests

0.10Best match rating · 13–9 · mirage, 10 Aug
58%Best headshot accuracy · 4–13 · dust2, 19 Jul
391msFastest reaction time · 13–7 · inferno, 29 Aug
13–2Biggest win · inferno, 27 Jul

Across the last 100 tracked matches.

Highlights

4Longest win streak
78In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 50% over 16nukeWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C1981142%-0.03
infernoB168850%-0.03
ancientC156940%-0.02
mirageC156940%-0.04
cacheB126650%-0.04
nukeC114736%-0.02
anubisB63350%-0.03
overpass31233%-0.08
train220100%-0.03
cache_b1010%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

9.9%Headshot accuracy
33.6%Accuracy (enemy spotted)
36.6%Spray accuracy
73.6%Counter-strafing
9.5°Preaim
556msReaction time
35.1%T opening success
38.4%CT opening success
0.57Enemies flashed / flash
6.2%Flash assists
8.50HE damage / grenade
8.41Flashes / 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 9.8713% — 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 35.0824% — 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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke7–13-0.092%10 Sept
cache16–13-0.037%8 Sept
ancient4–13-0.0412%8 Sept
nuke10–13-0.0712%8 Sept
ancient2–13-0.065%8 Sept
dust213–10-0.0412%7 Sept
overpass1–13-0.064%7 Sept
ancient5–13-0.066%7 Sept
mirage5–13-0.0513%7 Sept
ancient13–80.0312%6 Sept
dust213–11-0.0313%6 Sept
mirage13–6-0.046%6 Sept
dust28–13-0.0631%4 Sept
nuke6–13-0.030%4 Sept
cache14–160.0010%29 Aug
inferno13–70.0113%29 Aug
mirage11–11-0.0512%29 Aug
dust213–110.0821%27 Aug
mirage13–4-0.038%25 Aug
inferno13–60.0310%21 Aug
inferno6–13-0.074%21 Aug
anubis13–110.018%10 Aug
inferno10–13-0.0316%10 Aug
ancient13–60.015%10 Aug
mirage4–13-0.029%10 Aug
cache5–130.017%10 Aug
inferno13–50.0113%10 Aug
nuke12–16-0.029%10 Aug
mirage13–90.105%10 Aug
dust213–110.026%9 Aug
dust22–13-0.0312%9 Aug
ancient4–7-0.046%9 Aug
inferno13–90.0113%9 Aug
anubis9–13-0.123%9 Aug
dust213–16-0.0819%7 Aug
ancient0–13-0.040%5 Aug
cache13–6-0.0617%5 Aug
mirage8–13-0.0227%4 Aug
dust20–13-0.0713%4 Aug
train13–9-0.035%3 Aug
overpass13–8-0.0712%3 Aug
train13–8-0.0310%2 Aug
anubis13–9-0.076%2 Aug
cache6–13-0.090%2 Aug
nuke16–13-0.066%2 Aug
dust28–13-0.0317%30 Jul
inferno13–40.0413%30 Jul
mirage4–13-0.027%30 Jul
cache6–13-0.029%29 Jul
mirage13–9-0.0417%28 Jul
cache16–13-0.047%28 Jul
dust28–13-0.0317%28 Jul
ancient13–9-0.077%28 Jul
inferno10–13-0.066%28 Jul
inferno13–2-0.064%27 Jul
cache10–13-0.027%27 Jul
mirage11–13-0.0613%27 Jul
anubis9–130.046%27 Jul
nuke9–13-0.0613%27 Jul
inferno10–13-0.0914%26 Jul
ancient13–60.0418%26 Jul
nuke13–16-0.048%26 Jul
anubis13–70.037%26 Jul
mirage13–6-0.035%26 Jul
ancient11–13-0.0610%26 Jul
dust26–130.0115%26 Jul
dust213–11-0.009%26 Jul
inferno11–13-0.025%25 Jul
mirage13–8-0.079%25 Jul
nuke13–8-0.0114%23 Jul
dust215–15-0.0310%23 Jul
dust213–8-0.0315%23 Jul
mirage4–13-0.107%23 Jul
anubis9–13-0.0521%21 Jul
cache16–13-0.017%21 Jul
cache4–13-0.080%19 Jul
dust24–13-0.0658%19 Jul
ancient16–12-0.0314%19 Jul
dust22–13-0.063%19 Jul
ancient13–11-0.058%19 Jul
inferno9–6-0.066%19 Jul
inferno4–13-0.136%11 Jul
dust213–30.049%11 Jul
overpass10–13-0.105%11 Jul
dust24–13-0.0918%11 Jul
mirage8–13-0.0718%10 Jul
inferno13–30.025%10 Jul
cache13–11-0.0615%10 Jul
nuke13–60.0214%9 Jul
mirage14–16-0.0415%7 Jul
cache13–9-0.0315%7 Jul
nuke9–60.0313%7 Jul
ancient7–13-0.077%4 Jul
cache_b14–16-0.0214%21 Apr
inferno7–13-0.0520%21 Apr
ancient8–130.0915%19 Apr
inferno9–13-0.0716%18 Apr
ancient11–130.059%17 Apr
dust216–120.0311%6 Apr
nuke6–130.0713%5 Apr

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 →