bigcarr0t

bigcarr0t — CS2 Stats

76561198674352722[U:1:714086994]Steam profile ↗✓ No bans

115Tracked matches40%Win rate2026Tracked since
168Hours in CS34Hrs last 2 wks
CSDB Rating4.5 DevelopingPositional Player
Premier CS Rating7,130Light Blue band · top ~68.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 2026 (4 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: 7,130 +588 30 Aug – 8 Oct · 14 days played
6,5429,327peak 9,32730 Aug8 Oct
9,327Peak Premier in tracked matches
38Days played since 2026-07-22

Premier CS Rating

  • 2,197 below peak (9,327)
  • -1,841 over 30 days · declining
  • Next: Blue band at 10,000 — 2,870 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-02

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 rate36.5%39.9%42.0%5.4% short
Shot accuracy0.0%7.0%9.6%9.6% short
Kill/death ratio0.750.920.980.23 short
Match win rate38.5%42.3%43.8%5.3% short

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

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.GGbigcarr0tPREMIER7,130 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim61
Positioning61
Utility25

0–100 skill scores via Leetify.

Recent form

STEADY45–48–7Last 10045%Win rateTLLWWWLTWL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · −0.1pp headshot accuracy · +6ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 10%
  • Avg reaction 633ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 11%
  • Avg reaction 634ms

Last 20

  • 7–10–3 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 632ms

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: Positional Player — Positioning stands above the rest of this profile (+2.3 against its own average).

Aim6.1
Utility2.5
Positioning6.1
Opening Duels2.7

Limited 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.

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

donk

Plays most like donk 86% playstyle similarity

Most alike: positioning profile, utility contribution.

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

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

CT openings. Opening success drops from 56% on T to 40% on CT — first contacts on the defending side are being lost.

Reaction time. 662ms 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

Aim6.1
Positioning6.1
Utility2.5
Mechanics6.4
Opening Duels4.5
Win Impact1.7

Composite 4.5/10 (Developing), 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 rating0.01+0.04
first ⅓ avg -0.03 → last ⅓ avg 0.01
Reaction time659ms−51ms
first ⅓ avg 710ms → last ⅓ avg 659ms
Headshot accuracy13.2%−1.1%
first ⅓ avg 14.4% → last ⅓ avg 13.2%

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

0.23Best match rating · 13–3 · dust2, 7 Oct →
35%Best headshot accuracy · 2–13 · mirage, 22 Aug →
484msFastest reaction time · 10–13 · mirage, 16 Aug →
13–0Biggest win · mirage, 24 Aug →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

dust2Best map · 53% over 53infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B5328–2553%0.01
mirageC2510–1540%-0.03
infernoD92–722%0.04
anubis—42–250%0.01
ancient—31–233%-0.06
nuke—31–233%-0.03
cache—21–150%-0.04
office—10–10%-0.13

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

2,534Lifetime kills
0.75K/D
208Matches
38.5%Match win rate
36.5%Headshot %
0.0%Shot accuracy
265MVPs
71Hours (in match)
130Bombs planted
41Bombs defused

Most-used weapons

Lifetime map wins

1,034dust2
100inferno
27nuke
26office
4vertigo

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.

13.5%Headshot accuracy
35.8%Accuracy (enemy spotted)
34.8%Spray accuracy
78.9%Counter-strafing
8.4°Preaim
662msReaction time
56.4%T opening success
39.6%CT opening success
0.48Enemies flashed / flash
1.9%Flash assists
4.75HE damage / grenade
2.26Flashes / 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 13.5132% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4823 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.5728% — 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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust212–12-0.0315%10 Oct →
mirage3–11-0.094%10 Oct →
dust24–13-0.086%8 Oct →
dust213–30.039%7 Oct →
dust213–30.2315%7 Oct →
mirage13–20.0714%7 Oct →
cache14–16-0.0413%6 Oct →
inferno12–120.1512%6 Oct →
dust213–9-0.0114%6 Oct →
dust210–130.027%5 Oct →
dust26–130.0511%5 Oct →
dust213–60.0610%3 Oct →
dust28–13-0.0210%2 Oct →
mirage13–7-0.0424%28 Sept →
mirage1–13-0.0412%26 Sept →
cache13–8-0.0414%26 Sept →
ancient2–13-0.090%26 Sept →
nuke8–130.046%26 Sept →
mirage12–120.0015%26 Sept →
inferno6–130.098%26 Sept →
dust212–120.0915%26 Sept →
inferno3–130.077%26 Sept →
dust29–130.0129%25 Sept →
dust212–120.0221%25 Sept →
dust22–60.007%21 Sept →
dust22–13-0.0820%21 Sept →
inferno7–60.0817%21 Sept →
dust28–130.0115%13 Sept →
mirage13–8-0.0519%13 Sept →
mirage13–6-0.0124%13 Sept →
ancient6–13-0.0814%12 Sept →
dust213–70.0311%12 Sept →
dust213–20.0320%12 Sept →
mirage13–60.0415%8 Sept →
dust213–80.0119%7 Sept →
mirage13–60.064%7 Sept →
ancient16–13-0.0214%7 Sept →
inferno9–130.0822%7 Sept →
mirage5–13-0.0011%6 Sept →
dust213–30.0114%6 Sept →
dust25–130.0112%6 Sept →
dust211–13-0.0628%6 Sept →
mirage13–90.0212%4 Sept →
anubis6–13-0.0116%4 Sept →
inferno6–130.037%3 Sept →
dust213–60.0922%3 Sept →
nuke13–10-0.054%1 Sept →
dust213–100.1414%31 Aug →
anubis13–40.0815%31 Aug →
dust213–5-0.0219%30 Aug →
dust213–20.0118%30 Aug →
mirage8–13-0.066%30 Aug →
dust25–13-0.0413%30 Aug →
dust213–50.1115%30 Aug →
dust21–13-0.0127%29 Aug →
dust213–30.0310%29 Aug →
mirage2–13-0.0519%25 Aug →
mirage13–0-0.0210%24 Aug →
dust213–6-0.038%24 Aug →
mirage13–10-0.0520%23 Aug →
inferno13–90.1012%23 Aug →
dust24–13-0.0421%23 Aug →
mirage2–13-0.0835%22 Aug →
anubis10–130.0011%22 Aug →
dust213–60.0316%22 Aug →
dust213–80.0314%17 Aug →
mirage6–13-0.077%16 Aug →
mirage10–13-0.0320%16 Aug →
mirage8–13-0.0323%16 Aug →
dust213–100.0015%16 Aug →
dust23–13-0.0722%15 Aug →
mirage7–13-0.0526%15 Aug →
mirage9–13-0.076%15 Aug →
nuke6–13-0.077%15 Aug →
dust28–130.0122%15 Aug →
inferno4–13-0.119%15 Aug →
dust213–11-0.0125%14 Aug →
inferno15–15-0.1011%14 Aug →
dust213–30.0410%12 Aug →
dust213–30.0810%12 Aug →
dust213–6-0.0611%11 Aug →
dust29–13-0.0219%11 Aug →
dust213–5-0.0312%11 Aug →
mirage8–13-0.0713%11 Aug →
dust213–7-0.0212%11 Aug →
dust24–13-0.0417%11 Aug →
dust213–80.0219%5 Aug →
dust29–13-0.0421%5 Aug →
dust213–11-0.0012%5 Aug →
mirage6–13-0.0214%5 Aug →
dust20–13-0.0610%5 Aug →
dust26–00.0614%5 Aug →
office2–13-0.1317%1 Aug →
dust29–13-0.0620%1 Aug →
dust212–12-0.0510%27 Jul →
dust213–6-0.0013%24 Jul →
mirage10–13-0.056%24 Jul →
mirage13–11-0.029%23 Jul →
dust211–13-0.048%23 Jul →
anubis13–11-0.0412%22 Jul →

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 →

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