Big1

Big1 — CS2 Stats

76561198236669678[U:1:276403950]Steam profile ↗

1,225Tracked matches52%Win rate2020Tracked since
2,721Hours in CS4Hrs last 2 wks
CSDB Rating4.5 Developing
Premier CS Rating22,410Top 50% of 17,162 CSDB-tracked playersPink band · top ~5.8% of ranked players (population est.)
CSDB Leaderboard#7800 of 28518 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=3,917), 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 playerPink band medianRed band medianvs Red band
Headshot rate45.3%47.2%49.9%4.6% short
Shot accuracy12.6%12.7%13.4%0.8% short
Kill/death ratio1.041.091.120.08 short
Match win rate42.4%46.6%48.4%6.0% short

This profile sits below the typical Red band player on every metric we can compare.

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

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CSDB.GGBig1PREMIER22,410 · Pink bandcsdb.gg/stats

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Performance scores

Aim54
Positioning37
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY46495Last 10046%Win rateLLWLWWWLWL

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

Player DNA

Aim5.4
Aggression2.8
Utility5.3
Positioning3.7
Opening Duels0.0
Clutch0.8

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

NiKo

Plays most like NiKo 77% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 560ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim5.4
Positioning3.7
Utility5.3
Mechanics4.3
Opening Duels0.4
Win Impact5.6

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time554ms−12ms
first ⅓ avg 566ms → last ⅓ avg 554ms
Headshot accuracy14.9%−1.5%
first ⅓ avg 16.4% → last ⅓ avg 14.9%

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 — cache 13–6
132Biggest win — dust2
4Longest win streak
L2Current streak
1110In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 59% over 17infernoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA38211755%-0.02
dust2C32122038%-0.02
cacheA1710759%0.01
infernoD51420%-0.01
nuke31233%-0.04
office2020%-0.03
shelter1010%-0.03
italy110100%-0.02
overpass1010%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

80,881Lifetime kills
1.04K/D
3,879Matches
42.4%Match win rate
45.3%Headshot %
12.6%Shot accuracy
8,801MVPs
1,558Hours (in match)
4,532Bombs planted
729Bombs defused

Most-used weapons

AK-4725,342
AWP7,642
SG 5533,842
SSG 081,792
P901,424
Knife1,297

Lifetime map wins

15,184dust2
2,921inferno
1,090nuke
808train
506vertigo
148office
66safehouse
48lake

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

Faceit stats

Combat

678Matches
51%Win rate
0.80Avg K/D
71.4ADR
41%Headshot %

Clutches & streaks

24%1v1 clutch win
8%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage4381%1.1314.6
Inferno2245%0.9213.1
Dust21947%0.8813.2
Anubis1650%0.7412.6
Ancient333%1.0111.0
Overpass2100%0.8011.5
Nuke20%0.6410.0
Vertigo10%0.9415.0

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.

14.5%Headshot accuracy
30.8%Accuracy (enemy spotted)
36.3%Spray accuracy
69.4%Counter-strafing
9.4°Preaim
560msReaction time
21.3%T opening success
32.9%CT opening success
0.61Enemies flashed / flash
7.7%Flash assists
5.85HE damage / grenade
11.23Flashes / 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 14.5182% — 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 21.301% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage4–13-0.0111%26 Aug
inferno4–13-0.0515%26 Aug
cache13–60.039%26 Aug
mirage5–13-0.074%23 Aug
mirage13–3-0.078%23 Aug
dust213–20.0115%23 Aug
inferno13–60.0226%11 Aug
mirage8–13-0.0018%11 Aug
mirage13–50.0218%11 Aug
mirage8–130.0214%6 Aug
shelter0–6-0.0325%3 Aug
italy13–5-0.0224%3 Aug
mirage8–13-0.073%28 Jul
dust213–8-0.019%28 Jul
dust22–13-0.066%27 Jul
mirage13–40.0911%27 Jul
dust215–15-0.046%19 Jul
dust24–13-0.1013%19 Jul
mirage5–13-0.0235%18 Jul
dust213–110.0119%15 Jul
inferno10–13-0.0418%15 Jul
dust213–40.036%15 Jul
mirage13–7-0.028%12 Jul
dust27–13-0.0116%12 Jul
cache13–100.0720%6 Jul
dust213–11-0.0615%6 Jul
cache13–100.0718%2 Jul
mirage4–13-0.0522%2 Jul
dust213–10-0.0020%30 Jun
office8–13-0.0611%29 Jun
mirage13–100.0022%29 Jun
nuke16–13-0.0712%29 Jun
office11–130.0014%26 Jun
mirage7–20.0431%26 Jun
dust215–15-0.0213%26 Jun
dust24–13-0.0716%25 Jun
overpass1–13-0.0612%25 Jun
mirage14–16-0.0216%22 Jun
dust213–10-0.0113%22 Jun
mirage13–11-0.0528%17 Jun
mirage13–110.0119%17 Jun
dust26–130.0026%16 Jun
mirage13–70.0215%16 Jun
dust211–13-0.0811%2 Jun
mirage13–110.0115%2 Jun
dust212–12-0.0716%2 Jun
mirage13–9-0.056%1 Jun
mirage13–2-0.0314%27 May
dust29–13-0.0330%27 May
dust213–60.0228%27 May
cache2–13-0.0617%26 May
mirage13–60.0313%26 May
mirage13–4-0.0223%24 May
dust26–13-0.0611%24 May
mirage13–3-0.0521%23 May
dust212–12-0.0813%21 May
mirage6–130.0015%21 May
mirage13–50.036%20 May
dust211–130.0425%19 May
mirage13–9-0.0314%19 May
dust213–100.0627%18 May
mirage7–13-0.0119%18 May
mirage13–110.0219%18 May
cache11–130.0418%17 May
mirage1–13-0.0422%14 May
dust213–100.0120%12 May
mirage11–13-0.0118%12 May
mirage13–100.0215%11 May
cache13–100.0522%11 May
cache6–13-0.0314%10 May
dust26–13-0.0122%10 May
mirage3–13-0.0714%9 May
cache13–100.0518%7 May
dust210–13-0.0223%7 May
dust211–13-0.0218%7 May
cache13–60.1210%7 May
dust211–130.0124%6 May
cache12–120.0213%6 May
inferno8–13-0.0112%6 May
cache13–11-0.0310%6 May
dust213–11-0.0514%6 May
mirage16–14-0.0313%4 May
cache13–5-0.057%4 May
cache4–130.000%30 Apr
nuke7–13-0.0118%29 Apr
dust22–13-0.0816%29 Apr
mirage3–13-0.0227%29 Apr
cache13–11-0.0311%29 Apr
cache7–13-0.0511%29 Apr
cache13–110.019%29 Apr
cache9–13-0.0120%29 Apr
mirage7–13-0.0417%28 Apr
mirage3–13-0.0912%28 Apr
mirage13–70.0118%28 Apr
dust24–13-0.0617%28 Apr
dust29–13-0.0310%28 Apr
mirage2–13-0.0527%28 Apr
dust213–100.0020%27 Apr
inferno7–90.0219%27 Apr
nuke7–9-0.0341%27 Apr

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 →