BigZ

BigZ — CS2 Stats

76561198402018855[U:1:441753127]Steam profile ↗✓ No bans

531Tracked matches52%Win rate2022Tracked since
4,615Hours in CS47Hrs last 2 wks
CSDB Rating4.7 DevelopingClutch Specialist
Premier CS Rating15,839Purple band · top ~25.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Sep 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

No change since then. 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. 51 days played since 17 Mar 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: 15,839 +5,654 17 Mar12 Sept · 47 days played
9,87516,328peak 16,32817 Mar12 Sept
16,328Peak Premier in tracked matches
51Days played since 2026-03-17

Premier CS Rating

  • 489 below peak (16,328)
  • +3,259 over 30 days · improving
  • +3,065 over 90 days
  • Next: Pink band at 20,000 4,161 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=34,112), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate54.0%44.3%47.0%above
Shot accuracy6.8%11.8%13.0%6.2% short
Kill/death ratio0.771.031.080.31 short
Match win rate34.0%45.2%46.7%12.7% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBigZPREMIER15,839 · Purple bandcsdb.gg/stats

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Performance scores

Aim49
Positioning53
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY50473Last 10050%Win rateLLLWWWWWLW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −1.0pp headshot accuracy · −43ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 616ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 634ms

Last 20

  • 1091 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 655ms

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: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+2.9 against its own average).

Aim4.9
Utility3.6
Positioning5.3
Opening Duels3.4
Clutch8.0

Strong CT-side openerReliable in 1v1s

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

iM

Plays most like iM 82% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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 60% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 612ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim4.9
Positioning5.3
Utility3.6
Mechanics4.4
Opening Duels3.7
Win Impact5.6

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-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time618ms+9ms
first ⅓ avg 609ms → last ⅓ avg 618ms
Headshot accuracy17.1%−0.4%
first ⅓ avg 17.5% → last ⅓ avg 17.1%

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.

Personal bests

0.09Best match rating · 11–13 · nuke, 25 May
33%Best headshot accuracy · 13–8 · mirage, 10 Sept
391msFastest reaction time · 9–13 · ancient, 4 Sept
13–2Biggest win · dust2, 7 Aug

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
129In matches decided by ≤2 rounds
16Overtime games

Map breakdown

cacheBest map · 80% over 5nukeWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB26141254%-0.02
infernoC2191243%-0.02
dust2A2011955%-0.02
ancientC104640%-0.01
anubisS96367%0.01
nukeD82625%0.01
cacheS54180%-0.03
overpass1010%0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

114,218Lifetime kills
0.77K/D
5,448Matches
34.0%Match win rate
54.0%Headshot % · Top 25% of Purple band
6.8%Shot accuracy
8,544MVPs
2,129Hours (in match)
5,047Bombs planted
998Bombs defused

Most-used weapons

Lifetime map wins

9,741dust2
5,563inferno
2,513vertigo
1,998nuke
732train
80cbble
28office
3ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

8Matches
25%Win rate
0.74Avg K/D
67.7ADR
56%Headshot %

Clutches & streaks

60%1v1 clutch win
22%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage520%0.7914.6
Dust220%0.386.0
Cache1100%1.2327.0

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.

16.9%Headshot accuracy
30.2%Accuracy (enemy spotted)
32.7%Spray accuracy
69.6%Counter-strafing
9.3°Preaim
612msReaction time
24.5%T opening success
59.9%CT opening success
0.56Enemies flashed / flash
3.6%Flash assists
4.20HE damage / grenade
7.92Flashes / 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 24.4988% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke7–130.0516%12 Sept
ancient8–13-0.0717%11 Sept
dust212–16-0.0915%11 Sept
mirage13–11-0.0315%10 Sept
cache13–9-0.0612%10 Sept
anubis13–11-0.0416%10 Sept
nuke13–80.0117%10 Sept
inferno13–70.0522%10 Sept
nuke13–16-0.0218%10 Sept
mirage13–80.0733%10 Sept
inferno10–13-0.0421%10 Sept
inferno3–13-0.079%9 Sept
anubis13–30.0825%9 Sept
mirage13–90.0230%9 Sept
dust215–15-0.0116%9 Sept
inferno11–13-0.0315%8 Sept
cache13–50.0222%8 Sept
dust210–13-0.0421%8 Sept
cache13–80.0121%8 Sept
inferno11–13-0.0311%6 Sept
mirage3–13-0.0718%6 Sept
ancient9–13-0.039%4 Sept
mirage4–13-0.0811%4 Sept
dust216–13-0.0717%3 Sept
inferno16–14-0.008%3 Sept
mirage13–11-0.0422%3 Sept
inferno7–13-0.0318%2 Sept
mirage13–8-0.0615%2 Sept
dust216–130.0117%2 Sept
mirage1–13-0.130%1 Sept
mirage13–9-0.0218%1 Sept
nuke14–16-0.0512%31 Aug
dust216–14-0.0128%31 Aug
inferno13–80.0715%31 Aug
anubis8–13-0.043%30 Aug
dust28–13-0.088%30 Aug
inferno15–15-0.0113%29 Aug
cache9–13-0.1018%28 Aug
nuke7–130.0515%28 Aug
dust28–13-0.0618%26 Aug
dust210–13-0.0814%25 Aug
mirage13–30.0221%25 Aug
ancient13–3-0.0525%24 Aug
inferno14–16-0.0814%23 Aug
mirage13–16-0.0515%22 Aug
inferno11–13-0.0716%22 Aug
inferno13–4-0.0117%21 Aug
dust27–13-0.0914%21 Aug
dust26–13-0.0211%17 Aug
inferno13–11-0.068%16 Aug
inferno13–7-0.0119%15 Aug
mirage9–130.0127%12 Aug
mirage5–13-0.0611%12 Aug
inferno5–13-0.1015%9 Aug
ancient16–12-0.0024%9 Aug
mirage5–130.0215%9 Aug
dust213–5-0.0321%9 Aug
dust213–20.0419%7 Aug
anubis13–100.029%22 Jul
ancient4–13-0.0522%20 Jul
mirage13–10-0.0510%20 Jul
ancient16–14-0.0020%18 Jul
cache13–11-0.0315%18 Jul
inferno13–100.0629%18 Jul
mirage16–140.0224%18 Jul
nuke11–13-0.0422%18 Jul
mirage7–11-0.0326%11 Jul
mirage13–2-0.0415%11 Jul
ancient12–70.0214%11 Jul
inferno7–130.0827%11 Jul
mirage13–60.0419%15 Jun
anubis13–100.0712%14 Jun
anubis13–100.0312%11 Jun
dust213–60.0815%11 Jun
anubis6–13-0.0015%30 May
overpass9–130.0518%30 May
inferno13–5-0.0123%29 May
inferno10–130.0314%28 May
dust213–70.0419%28 May
nuke11–130.0929%25 May
mirage6–13-0.0112%24 May
dust213–70.0024%23 May
dust213–80.0415%23 May
mirage13–70.0419%22 May
nuke13–80.0016%22 May
inferno14–16-0.0514%19 May
dust28–130.0213%19 May
ancient12–12-0.0115%18 May
anubis13–11-0.0024%17 May
mirage8–13-0.0012%16 May
inferno13–9-0.0314%15 May
ancient6–130.0321%13 May
anubis14–16-0.0423%12 May
mirage2–13-0.0512%23 Apr
dust213–8-0.0424%23 Mar
mirage13–11-0.0213%23 Mar
dust213–11-0.0117%23 Mar
mirage4–13-0.0419%22 Mar
mirage13–100.0018%17 Mar
ancient7–130.0221%17 Mar

Match data via Leetify.

Recent teammates

Milestones

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