gromit beugs

gromit beugs — CS2 Stats

AU76561198825231240[U:1:864965512]Steam profile ↗✓ No bans

1,229Tracked matches59%Win rate2022Tracked since
879Hours in CS9Hrs last 2 wks
CSDB Rating4.9 DevelopingSupport
Premier CS Rating14,322Blue band · top ~32% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

+350Premier CS Rating · 13,972 → 14,322

Rating over time

Premier CS Rating: 14,322 +701 5 Sept – 31 Oct · 13 days played
12,81914,322peak 14,3225 Sept31 Oct
14,455Peak Premier in tracked matches
36Days played since 2026-07-07

Premier CS Rating

  • At peak — 14,322
  • +1,098 over 30 days · improving
  • Next: Purple band at 15,000 — 678 to go
  • Reached: Blue band · Light Blue band

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate51.5%42.0%44.4%above
Shot accuracy4.2%9.6%11.9%7.7% short
Kill/death ratio1.020.981.03meets
Match win rate42.8%43.8%45.2%2.4% short

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

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

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CSDB.GGgromit beugsPREMIER14,322 · Blue bandcsdb.gg/stats

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Performance scores

Aim27
Positioning60
Utility72

0–100 skill scores via Leetify.

Recent form

STEADY40–49–11Last 10040%Win rateLWLWWWWLLW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +3.0pp headshot accuracy · +37ms 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 -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 592ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 619ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 600ms

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 (+1.3 against its own average).

Aim2.7
Utility7.2
Positioning6.0
Opening Duels4.6

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.

Strengths & areas to improve

Areas to improve

Reaction time. 598ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim2.7
Positioning6.0
Utility7.2
Mechanics3.9
Opening Duels6.5
Win Impact7.9

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time590ms−35ms
first ⅓ avg 625ms → last ⅓ avg 590ms
Headshot accuracy15.4%+1.3%
first ⅓ avg 14.1% → last ⅓ avg 15.4%

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

0.16Best match rating · 13–7 · office, 8 Jul →
30%Best headshot accuracy · 13–5 · dust2, 30 Oct →
422msFastest reaction time · 4–1 · inferno, 3 Oct →
13–4Biggest win · cache, 3 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
4–4In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 56% over 9anubisWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
dust2D3010–2033%-0.03
mirageB2413–1154%0.00
nukeD123–925%-0.02
cacheA95–456%-0.02
ancientD72–529%-0.02
anubisD60–60%0.00
infernoB63–350%-0.02
office—33–0100%0.06
vertigo—20–20%-0.04
italy—11–0100%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,484Lifetime kills
1.02K/D · Top 50% of Blue band
1,327Matches
42.8%Match win rate
51.5%Headshot % · Top 25% of Blue band
4.2%Shot accuracy
3,064MVPs
467Hours (in match)
634Bombs planted
302Bombs defused

Most-used weapons

Lifetime map wins

3,144dust2
1,568nuke
863inferno
814vertigo
140office
133train
23cbble
15italy

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.

15.3%Headshot accuracy
24.4%Accuracy (enemy spotted)
30.8%Spray accuracy
67.7%Counter-strafing
12.6°Preaim
598msReaction time
57.1%T opening success
55.1%CT opening success
0.67Enemies flashed / flash
6.7%Flash assists
10.72HE damage / grenade
18.08Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.5744° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Anubis

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

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache7–13-0.0424%31 Oct →
mirage13–90.0313%31 Oct →
anubis9–13-0.0214%31 Oct →
cache13–7-0.0315%31 Oct →
mirage13–6-0.0013%31 Oct →
dust213–5-0.0930%30 Oct →
dust213–70.0024%28 Oct →
dust211–13-0.079%25 Oct →
mirage6–13-0.0324%25 Oct →
dust213–90.0422%25 Oct →
ancient16–140.0414%25 Oct →
nuke13–70.0219%25 Oct →
mirage13–50.0621%25 Oct →
nuke11–13-0.0413%13 Oct →
mirage13–90.0121%13 Oct →
nuke13–9-0.0514%13 Oct →
nuke13–90.0019%4 Oct →
dust22–13-0.070%4 Oct →
dust29–130.0220%3 Oct →
cache13–4-0.0017%3 Oct →
inferno4–10.139%3 Oct →
dust213–4-0.054%3 Oct →
office13–100.0618%3 Oct →
nuke6–13-0.0413%2 Oct →
ancient11–13-0.0913%2 Oct →
mirage7–13-0.0514%2 Oct →
dust213–100.0715%1 Oct →
vertigo3–13-0.098%27 Sept →
dust27–13-0.0410%27 Sept →
dust212–12-0.037%25 Sept →
nuke12–120.0215%25 Sept →
ancient12–12-0.0012%25 Sept →
nuke6–130.0327%24 Sept →
anubis11–13-0.0115%24 Sept →
vertigo12–120.0217%23 Sept →
mirage6–20.0316%23 Sept →
cache9–13-0.037%19 Sept →
dust212–12-0.1111%19 Sept →
dust27–130.1122%19 Sept →
inferno13–11-0.0214%18 Sept →
ancient10–13-0.0022%18 Sept →
mirage13–16-0.028%16 Sept →
ancient4–13-0.0214%16 Sept →
dust213–6-0.0316%15 Sept →
ancient13–9-0.067%14 Sept →
dust24–13-0.1414%11 Sept →
mirage5–130.0319%11 Sept →
anubis9–130.0819%11 Sept →
dust28–13-0.0611%7 Sept →
anubis3–130.0113%7 Sept →
mirage16–130.0313%5 Sept →
dust29–13-0.0112%5 Sept →
dust29–13-0.047%5 Sept →
nuke8–13-0.0022%5 Sept →
cache13–60.0523%5 Sept →
mirage3–13-0.0317%5 Sept →
dust212–12-0.059%5 Sept →
nuke15–15-0.014%3 Sept →
mirage7–0-0.030%28 Aug →
dust22–9-0.090%28 Aug →
anubis6–13-0.0416%28 Aug →
ancient10–13-0.0122%15 Aug →
cache13–4-0.0314%15 Aug →
dust213–60.0320%15 Aug →
mirage13–90.0114%15 Aug →
mirage13–10-0.0210%5 Aug →
nuke0–13-0.110%27 Jul →
mirage5–130.0817%27 Jul →
nuke2–13-0.017%26 Jul →
cache13–5-0.063%26 Jul →
anubis7–13-0.0115%26 Jul →
dust21–130.0115%23 Jul →
mirage9–130.0417%23 Jul →
dust24–13-0.0316%18 Jul →
cache15–15-0.009%18 Jul →
dust216–13-0.0112%18 Jul →
mirage12–12-0.0319%16 Jul →
mirage10–13-0.0414%16 Jul →
mirage13–80.0216%16 Jul →
inferno8–13-0.0712%15 Jul →
dust25–13-0.0426%12 Jul →
mirage1–13-0.0920%12 Jul →
nuke4–13-0.0510%12 Jul →
dust213–9-0.0518%12 Jul →
italy13–7-0.0116%12 Jul →
dust21–130.0112%11 Jul →
inferno1–13-0.0913%11 Jul →
mirage13–60.049%11 Jul →
dust212–12-0.087%11 Jul →
cache5–13-0.0617%11 Jul →
mirage13–40.1218%11 Jul →
dust213–11-0.0314%11 Jul →
office13–11-0.0317%9 Jul →
mirage1–13-0.0712%9 Jul →
dust29–13-0.0521%9 Jul →
inferno13–10-0.0112%9 Jul →
office13–70.1628%8 Jul →
inferno5–13-0.0310%8 Jul →
dust212–12-0.038%7 Jul →
mirage13–10-0.0510%7 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 →

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