BigFootGuy

BigFootGuy — CS2 Stats

US76561198314760021[U:1:354494293]Steam profile ↗✓ No bans

1,014Tracked matches41%Win rate2025Tracked since
902Hours in CS5Hrs last 2 wks
CSDB Rating3.4 LearningSupport
Premier CS Rating9,931Light Blue band · top ~55.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (3 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.

Rating over time

Premier CS Rating: 9,931 +2,724 1 Jul – 27 Oct · 19 days played
7,20711,458peak 11,4581 Jul27 Oct
11,555Peak Premier in tracked matches
37Days played since 2026-07-01

Premier CS Rating

  • 1,527 below peak (11,458)
  • -170 over 90 days
  • Next: Blue band at 10,000 — 69 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-28
  • Light Blue band first seen 2026-08-28

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

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate33.6%39.9%42.0%8.4% short
Shot accuracy0.1%7.0%9.6%9.6% short
Kill/death ratio0.630.920.980.35 short
Match win rate45.1%42.3%43.8%above

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

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

Share this profile

CSDB.GGBigFootGuyPREMIER9,931 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim38
Positioning34
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY41–53–6Last 10041%Win rateWLLWWLLLWL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · +5.0pp headshot accuracy · −16ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 11%
  • Avg reaction 605ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 598ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 606ms

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: Support — Utility contribution stands above the rest of this profile (+2.4 against its own average).

Aim3.8
Utility5.4
Positioning3.4
Opening Duels0.3

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 71% 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. 619ms 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

Aim3.8
Positioning3.4
Utility5.4
Mechanics6.2
Opening Duels0.0
Win Impact2.1

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time622ms−92ms
first ⅓ avg 714ms → last ⅓ avg 622ms
Headshot accuracy10.4%−2.1%
first ⅓ avg 12.5% → last ⅓ avg 10.4%

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

0.07Best match rating · 7–13 · cache, 22 Aug →
32%Best headshot accuracy · 9–13 · dust2, 16 Jul →
430msFastest reaction time · 1–13 · italy, 7 Aug →
13–2Biggest win · ancient, 17 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

anubisBest map · 75% over 8nukeWeakest map · 8% over 12
MapGradePlayedRecordWin rateAvg rating
dust2C167–944%-0.03
cacheC166–1038%-0.03
nukeD121–118%-0.06
ancientS128–467%-0.02
mirageD123–925%-0.04
infernoA116–555%-0.02
anubisS86–275%-0.02
fachwerk—30–30%-0.03
train—20–20%-0.06
vertigo—21–150%-0.07
overpass—22–0100%-0.05
office—10–10%-0.11
italy—10–10%-0.07
boulder—11–0100%-0.01
shelter—10–10%-0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (8% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

11,533Lifetime kills
0.63K/D
1,092Matches
45.1%Match win rate · Top 50% of Light Blue band
33.6%Headshot %
0.1%Shot accuracy
1,386MVPs
401Hours (in match)
1,254Bombs planted
203Bombs defused

Most-used weapons

Lifetime map wins

1,636inferno
1,624nuke
1,569dust2
673train
347vertigo
106italy
33cbble
30lake

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.

10.3%Headshot accuracy
28.6%Accuracy (enemy spotted)
34.1%Spray accuracy
77.7%Counter-strafing
11.4°Preaim
619msReaction time
24.5%T opening success
29.8%CT opening success
0.65Enemies flashed / flash
4.9%Flash assists
8.46HE damage / grenade
6.64Flashes / 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 10.3473% — 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 24.5% — 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.

8% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–10-0.0511%27 Oct →
nuke5–13-0.0617%27 Oct →
nuke4–13-0.0615%26 Oct →
dust213–8-0.052%26 Oct →
inferno13–4-0.019%26 Oct →
dust211–13-0.0911%25 Oct →
dust27–13-0.0415%30 Aug →
inferno8–13-0.0519%30 Aug →
inferno13–11-0.0310%27 Aug →
dust211–13-0.0517%27 Aug →
dust213–40.0310%27 Aug →
cache2–13-0.0711%22 Aug →
office3–13-0.118%22 Aug →
train5–13-0.0311%22 Aug →
fachwerk1–13-0.0110%22 Aug →
cache7–130.077%22 Aug →
inferno4–13-0.099%22 Aug →
cache10–13-0.043%18 Aug →
dust213–10-0.048%18 Aug →
ancient13–20.020%17 Aug →
inferno12–12-0.0212%17 Aug →
dust24–13-0.0410%16 Aug →
cache4–13-0.037%14 Aug →
anubis13–10-0.049%14 Aug →
nuke8–13-0.046%12 Aug →
vertigo13–11-0.058%11 Aug →
inferno13–11-0.057%11 Aug →
cache8–13-0.0011%10 Aug →
dust213–90.0123%8 Aug →
inferno13–7-0.0611%8 Aug →
overpass8–4-0.047%8 Aug →
mirage1–7-0.0620%8 Aug →
italy1–13-0.0710%7 Aug →
train10–13-0.099%7 Aug →
nuke2–13-0.1113%5 Aug →
cache13–11-0.0314%5 Aug →
ancient16–14-0.0516%4 Aug →
cache12–16-0.0416%3 Aug →
anubis13–90.0010%3 Aug →
mirage7–13-0.0615%2 Aug →
anubis4–13-0.058%2 Aug →
ancient15–15-0.0611%2 Aug →
ancient13–50.003%2 Aug →
anubis13–9-0.0310%2 Aug →
mirage13–30.020%2 Aug →
cache5–13-0.067%2 Aug →
cache4–13-0.0710%29 Jul →
mirage8–13-0.0810%29 Jul →
cache13–10-0.0212%28 Jul →
nuke10–13-0.0610%28 Jul →
dust213–9-0.0322%28 Jul →
ancient13–4-0.008%27 Jul →
anubis13–10-0.019%27 Jul →
mirage13–11-0.0211%27 Jul →
ancient9–130.0315%27 Jul →
mirage11–13-0.0211%26 Jul →
dust25–13-0.0310%25 Jul →
nuke9–13-0.0414%25 Jul →
mirage13–7-0.099%24 Jul →
nuke13–9-0.077%24 Jul →
mirage5–13-0.028%24 Jul →
ancient13–6-0.006%24 Jul →
inferno13–7-0.0311%24 Jul →
inferno13–80.0418%22 Jul →
anubis9–13-0.0614%22 Jul →
inferno9–130.059%17 Jul →
ancient13–8-0.0512%17 Jul →
ancient7–13-0.048%16 Jul →
nuke12–12-0.049%16 Jul →
cache13–5-0.029%16 Jul →
dust29–13-0.0732%16 Jul →
ancient8–130.019%12 Jul →
nuke7–13-0.0615%12 Jul →
dust211–20.034%11 Jul →
fachwerk11–13-0.0712%11 Jul →
overpass13–5-0.0612%11 Jul →
cache12–12-0.057%11 Jul →
ancient13–3-0.039%10 Jul →
boulder13–9-0.0116%10 Jul →
anubis13–3-0.040%10 Jul →
cache13–60.0311%10 Jul →
anubis13–90.019%10 Jul →
vertigo7–13-0.095%9 Jul →
shelter8–13-0.0710%9 Jul →
dust211–130.0020%9 Jul →
cache13–8-0.0111%9 Jul →
cache10–13-0.106%9 Jul →
mirage6–13-0.0612%9 Jul →
fachwerk12–12-0.0119%9 Jul →
mirage10–13-0.079%9 Jul →
dust210–13-0.0022%9 Jul →
nuke0–10-0.0712%9 Jul →
dust25–13-0.0412%8 Jul →
nuke12–12-0.0818%8 Jul →
nuke8–13-0.0712%7 Jul →
ancient13–10-0.0112%6 Jul →
cache13–6-0.0225%3 Jul →
inferno9–13-0.0117%3 Jul →
mirage11–130.0220%1 Jul →
mirage9–13-0.0212%1 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.