Dr. Carry Beckmann

Dr. Carry Beckmann — CS2 Stats

DE76561197969233389[U:1:8967661]Steam profile ↗VAC banned

504Tracked matches53%Win rate2021Tracked since
1,138Hours in CS4Hrs last 2 wks
CSDB Rating5.0 DevelopingPositional Player
Premier CS Rating14,115Blue band · top ~33.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Nov 2026 (5 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: 14,115 +692 28 May – 9 Nov · 30 days played
11,75415,671peak 15,67128 May9 Nov
15,806Peak Premier in tracked matches
43Days played since 2026-05-28

Premier CS Rating

  • 1,556 below peak (15,671)
  • -404 over 30 days · declining
  • Next: Purple band at 15,000 — 885 to go
  • Reached: Purple band · 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 rate35.2%42.0%44.4%9.1% short
Shot accuracy11.8%9.6%11.9%meets
Kill/death ratio1.350.981.03above
Match win rate46.0%43.8%45.2%meets

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. 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.

Share this profile

CSDB.GGDr. Carry BeckmannPREMIER14,115 · Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim59
Positioning50
Utility28

0–100 skill scores via Leetify.

Recent form

COLD46–52–2Last 10046%Win rateWLWLLLLLLL

Last 10 vs previous 10: −50pp win rate · −0.02 avg rating · −2.2pp headshot accuracy · −9ms reaction

Win rate down 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 627ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 581ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 586ms

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 (+1.9 against its own average).

Aim5.9
Utility2.8
Positioning5.0
Opening Duels1.5

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

Twistzz

Plays most like Twistzz 84% playstyle similarity

Most alike: positioning profile, 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

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 58% on T to 39% on CT — first contacts on the defending side are being lost.

Reaction time. 601ms 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

Aim5.9
Positioning5.0
Utility2.8
Mechanics7.0
Opening Duels4.6
Win Impact6.1

Composite 5.0/10 (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-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time598ms−82ms
first ⅓ avg 680ms → last ⅓ avg 598ms
Headshot accuracy18.6%−0.7%
first ⅓ avg 19.3% → last ⅓ avg 18.6%

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

0.13Best match rating · 13–3 · nuke, 15 Jun →
36%Best headshot accuracy · 13–9 · dust2, 10 Aug →
406msFastest reaction time · 9–13 · ancient, 10 Sept →
13–0Biggest win · dust2, 17 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 60% over 15ancientWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C239–1439%-0.02
nukeB1910–953%0.01
cacheB158–753%-0.00
infernoA159–660%0.01
ancientD113–827%-0.00
mirageC83–538%-0.01
overpass—41–325%0.03
anubis—32–167%0.05
office—10–10%-0.03
vertigo—11–0100%-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

38,379Lifetime kills
1.35K/D · Top 10% of Blue band
1,623Matches
46.0%Match win rate · Top 50% of Blue band
35.2%Headshot %
11.8%Shot accuracy · Top 50% of Blue band
3,678MVPs
696Hours (in match)
2,026Bombs planted
539Bombs defused

Most-used weapons

Lifetime map wins

8,550dust2
2,370nuke
1,785inferno
583office
353train
151cbble
128italy
116aztec

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.

18.2%Headshot accuracy
31.1%Accuracy (enemy spotted)
31.8%Spray accuracy
81.6%Counter-strafing
10.3°Preaim
601msReaction time
57.8%T opening success
38.7%CT opening success
0.37Enemies flashed / flash
6.4%Flash assists
8.11HE damage / grenade
2.04Flashes / 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 0.373 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

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

    CT opening duels 38.659% — below the 40% mark we flag

Spend your practice time on Ancient

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–40.0213%9 Nov →
dust25–13-0.1220%9 Nov →
nuke13–100.0618%9 Nov →
cache11–13-0.0217%9 Nov →
inferno14–16-0.0219%8 Nov →
cache11–13-0.0613%26 Oct →
cache2–13-0.0715%25 Oct →
ancient14–16-0.0311%25 Oct →
inferno1–130.0013%25 Oct →
inferno8–130.0721%17 Oct →
cache13–40.1120%17 Oct →
mirage2–13-0.0728%17 Oct →
ancient13–11-0.0813%17 Oct →
dust213–00.0117%17 Oct →
cache13–80.1318%11 Oct →
inferno13–8-0.054%11 Oct →
mirage13–110.0320%9 Oct →
dust213–16-0.0123%9 Oct →
ancient4–13-0.0227%9 Oct →
nuke13–8-0.0213%9 Oct →
cache13–3-0.0717%8 Oct →
dust213–7-0.0417%8 Oct →
nuke13–11-0.0228%8 Oct →
inferno11–13-0.0311%7 Oct →
dust23–13-0.0617%7 Oct →
mirage12–00.0133%5 Oct →
nuke13–80.0321%5 Oct →
anubis13–40.1123%5 Oct →
cache13–70.0227%4 Oct →
dust29–13-0.0019%4 Oct →
inferno16–130.0524%4 Oct →
dust213–110.0323%4 Oct →
cache6–13-0.0613%1 Oct →
mirage2–13-0.056%1 Oct →
dust213–110.0321%1 Oct →
ancient13–50.0314%28 Sept →
cache8–13-0.085%28 Sept →
office10–13-0.038%26 Sept →
cache13–80.0224%26 Sept →
ancient6–13-0.0533%24 Sept →
anubis0–13-0.0411%24 Sept →
anubis13–100.0916%23 Sept →
inferno13–60.0610%21 Sept →
vertigo13–1-0.0025%21 Sept →
nuke7–13-0.0414%17 Sept →
inferno2–13-0.0433%17 Sept →
dust29–13-0.0314%15 Sept →
cache3–13-0.0312%15 Sept →
ancient9–13-0.0110%10 Sept →
dust24–130.0321%10 Sept →
ancient15–150.0118%10 Sept →
ancient13–100.1116%9 Sept →
nuke13–90.0323%9 Sept →
inferno13–50.1211%9 Sept →
cache13–10.0528%8 Sept →
inferno13–90.0119%8 Sept →
mirage13–70.0328%8 Sept →
dust25–13-0.0330%7 Sept →
dust24–13-0.065%7 Sept →
dust213–50.0722%18 Aug →
mirage8–130.0116%13 Aug →
nuke7–130.0621%13 Aug →
cache9–130.0120%13 Aug →
dust213–9-0.0536%10 Aug →
cache13–80.0322%10 Aug →
nuke4–13-0.0421%6 Aug →
ancient8–130.049%6 Aug →
nuke7–13-0.0620%4 Aug →
cache13–11-0.0311%19 Jul →
dust22–13-0.0423%19 Jul →
inferno13–3-0.0114%15 Jul →
mirage5–13-0.0722%15 Jul →
nuke10–13-0.0522%14 Jul →
dust28–13-0.0629%14 Jul →
overpass13–100.0217%6 Jul →
dust213–9-0.0010%6 Jul →
nuke13–11-0.0115%6 Jul →
dust28–13-0.0235%28 Jun →
nuke13–50.0312%23 Jun →
ancient8–13-0.0129%23 Jun →
nuke8–130.0620%22 Jun →
nuke13–90.0114%22 Jun →
ancient15–15-0.0212%16 Jun →
dust213–50.0024%16 Jun →
overpass9–130.0622%16 Jun →
overpass12–16-0.0511%15 Jun →
nuke13–30.138%15 Jun →
overpass5–130.1017%15 Jun →
nuke6–130.0015%14 Jun →
mirage9–130.0122%14 Jun →
inferno13–70.0536%14 Jun →
inferno13–11-0.0217%8 Jun →
nuke13–10-0.0414%8 Jun →
inferno12–16-0.0428%31 May →
inferno13–30.0322%30 May →
dust27–13-0.0417%30 May →
nuke10–130.0415%30 May →
nuke6–130.0726%29 May →
dust25–13-0.0513%28 May →
dust27–13-0.0427%28 May →

Match data via Leetify.

Recent teammates

Milestones

500 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.