Quantum Bigfoot

Quantum Bigfoot — CS2 Stats

AU76561198042020436[U:1:81754708]Steam profile ↗✓ No bans

1,178Tracked matches52%Win rate2020Tracked since
7,881Hours in CS6Hrs last 2 wks
CSDB Rating4.8 DevelopingAggressive Rifler
Ladder ranks via Leetify

Performance scores

Aim74
Positioning40
Utility18

0–100 skill scores via Leetify.

Recent form

STEADY44506Last 10044%Win rateLLLLLLWWWW

Last 10 vs previous 10: -30pp win rate · -0.05 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.4
Aggression6.7
Utility1.8
Positioning4.0
Opening Duels2.9

Strong CT-side openerLimited 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

ropz

Plays most like ropz 80% playstyle similarity

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

Where you differ: lower aim profile; 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

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 51% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 645ms 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

Aim7.4
Positioning4.0
Utility1.8
Mechanics4.7
Opening Duels2.9
Win Impact5.6

Composite 4.8/10 (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+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time647ms−49ms
first ⅓ avg 696ms → last ⅓ avg 647ms
Headshot accuracy18.9%−3.0%
first ⅓ avg 21.9% → last ⅓ avg 18.9%

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 — mirage 12–12
132Biggest win — dust2
6Longest win streak
L6Current streak
38In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 64% over 14dust2Weakest map · 39% over 51
MapGradePlayedRecordWin rateAvg rating
dust2C51203139%-0.00
mirageC31121939%-0.02
infernoA149564%-0.02
cache220100%0.03
overpass1010%-0.10
train110100%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (39% over 51). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

78,139Lifetime kills
0.92K/D
4,102Matches
41.4%Match win rate
32.9%Headshot %
19.5%Shot accuracy · Top 5% of tracked players
11,033MVPs
1,678Hours (in match)
2,675Bombs planted
632Bombs defused

Most-used weapons

AWP22,220
P908,049
AK-477,585
XM10142,653
P2502,311
SG 5532,087

Lifetime map wins

20,720dust2
4,569inferno
548train
196cbble
29vertigo
16office
7lake
5ar_shoots

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

Skill profile

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

19.1%Headshot accuracy
38.4%Accuracy (enemy spotted)
45.1%Spray accuracy
71.1%Counter-strafing
8.6°Preaim
645msReaction time
32.4%T opening success
50.6%CT opening success
0.25Enemies flashed / flash
4.7%Flash assists
9.99HE damage / grenade
0.74Flashes / 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. 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 0.2528 — below the 0.5 mark we flag

    Grenade Lineups
  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 32.3821% — 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.

39% win rate across 51 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
dust210–130.1012%25 Aug
mirage8–13-0.0838%25 Aug
dust22–13-0.1543%24 Aug
dust22–13-0.107%21 Jul
dust211–130.0217%29 Jun
mirage10–13-0.0312%26 Jun
dust213–3-0.0136%26 Jun
dust213–20.0316%26 Jun
mirage13–8-0.0111%25 Jun
mirage13–7-0.0217%24 Jun
dust211–13-0.0324%24 Jun
dust213–50.0514%23 Jun
dust20–13-0.0230%22 Jun
mirage13–3-0.029%22 Jun
mirage8–130.0519%21 Jun
dust213–80.0414%19 Jun
mirage13–110.0727%18 Jun
dust213–30.0625%18 Jun
dust213–100.0712%17 Jun
dust213–10-0.0614%17 Jun
dust213–30.0918%16 Jun
mirage5–13-0.0838%16 Jun
dust212–120.0119%16 Jun
dust26–13-0.079%15 Jun
dust27–13-0.0022%15 Jun
dust213–8-0.0117%12 Jun
dust211–13-0.1013%12 Jun
mirage4–13-0.0727%12 Jun
dust213–6-0.0015%12 Jun
dust213–30.079%11 Jun
mirage11–13-0.068%10 Jun
mirage9–13-0.0315%10 Jun
dust213–6-0.0119%10 Jun
dust25–13-0.0640%9 Jun
dust210–130.0620%4 Jun
dust27–130.0625%4 Jun
mirage5–13-0.0419%3 Jun
dust23–13-0.1060%2 Jun
overpass5–13-0.1020%2 Jun
cache13–70.0514%1 Jun
dust211–130.0524%1 Jun
dust26–13-0.079%1 Jun
mirage2–13-0.0411%27 May
train13–9-0.0521%26 May
dust213–110.039%25 May
dust210–13-0.0216%24 May
cache13–50.0235%20 May
mirage12–120.1229%20 May
dust23–13-0.0124%27 Apr
mirage13–30.0614%27 Apr
inferno13–9-0.0617%26 Apr
dust21–8-0.0325%25 Apr
mirage2–4-0.050%24 Apr
mirage13–70.046%24 Apr
inferno13–4-0.1113%24 Apr
dust24–13-0.0229%23 Apr
inferno12–12-0.0918%22 Apr
dust29–10.0814%21 Apr
inferno3–10-0.0620%20 Apr
inferno13–60.0224%19 Apr
inferno13–8-0.0227%19 Apr
inferno13–9-0.019%17 Apr
inferno13–40.0113%16 Apr
dust210–13-0.0320%15 Apr
dust213–10-0.040%15 Apr
mirage13–100.0411%10 Apr
dust29–13-0.0119%10 Apr
mirage13–4-0.1027%10 Apr
dust24–13-0.0113%9 Apr
dust213–60.0416%9 Apr
mirage5–13-0.0933%7 Apr
mirage4–13-0.1020%2 Apr
mirage13–3-0.0829%2 Apr
dust213–60.0428%1 Apr
mirage11–130.0713%31 Mar
dust213–40.00100%31 Mar
inferno4–130.0230%31 Mar
inferno13–50.0617%30 Mar
mirage8–13-0.0624%29 Mar
mirage8–13-0.0525%26 Mar
dust211–130.0224%23 Mar
dust27–13-0.0115%16 Mar
inferno11–13-0.018%11 Mar
mirage3–13-0.0524%11 Mar
mirage3–13-0.0517%10 Mar
mirage13–9-0.0210%10 Mar
mirage3–130.1029%10 Mar
dust210–13-0.0429%9 Mar
inferno12–12-0.0914%9 Mar
mirage13–6-0.0144%8 Mar
dust28–130.0215%8 Mar
inferno13–4-0.0323%6 Mar
dust213–40.0914%6 Mar
dust212–120.0117%6 Mar
dust212–12-0.0217%5 Mar
mirage10–130.005%5 Mar
dust28–130.024%4 Mar
dust213–8-0.0816%4 Mar
dust29–13-0.090%4 Mar
inferno13–90.0423%4 Mar

Match data via Leetify.

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →