Burger

Burger — CS2 Stats

DK76561197963283266[U:1:3017538]Steam profile ↗✓ No bans

2,166Tracked matches45%Win rate2020Tracked since
9,440Hours in CS30Hrs last 2 wks
CSDB Rating5.8 SolidSupport
Premier CS Rating14,090Blue band · top ~33.2% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). 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: 14,090 +731 11 Sept – 13 Nov · 29 days played
12,60815,110peak 15,11011 Sept13 Nov
15,494Peak Premier in tracked matches
29Days played since 2026-09-11

Premier CS Rating

  • 1,020 below peak (15,110)
  • +936 over 30 days · improving
  • Next: Purple band at 15,000 — 910 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 rate35.1%42.0%44.4%9.3% short
Shot accuracy17.5%9.6%11.9%above
Kill/death ratio1.030.981.03meets
Match win rate44.6%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.GGBurgerPREMIER14,090 · Blue bandcsdb.gg/stats

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Performance scores

Aim69
Positioning60
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateLWLWLWWLLL

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −0.8pp headshot accuracy · +71ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 616ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 649ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 11%
  • Avg reaction 614ms

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 (+1.5 against its own average).

Aim6.9
Utility6.6
Positioning6.0
Opening Duels2.8

Strong CT-side opener

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 80% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Reaction time. 613ms 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

Aim6.9
Positioning6.0
Utility6.6
Mechanics6.7
Opening Duels4.8
Win Impact3.3

Composite 5.8/10 (Solid), 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+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time620ms+16ms
first ⅓ avg 603ms → last ⅓ avg 620ms
Headshot accuracy11.5%−0.4%
first ⅓ avg 11.9% → last ⅓ avg 11.5%

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

0.10Best match rating · 4–1 · inferno, 29 Oct →
30%Best headshot accuracy · 4–1 · inferno, 29 Oct →
375msFastest reaction time · 4–1 · inferno, 29 Oct →
13–1Biggest win · ancient, 4 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 67% over 9dust2Weakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
nukeA2011–955%-0.02
infernoA2012–860%0.01
ancientC177–1041%-0.02
dust2D144–1029%-0.03
cacheS96–367%-0.02
mirageD93–633%-0.04
anubisA95–456%-0.04
overpass—10–10%-0.10
rush_001—11–0100%-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

170,706Lifetime kills
1.03K/D · Top 50% of Blue band
8,843Matches
44.6%Match win rate · Top 50% of Blue band
35.1%Headshot %
17.5%Shot accuracy · Top 10% of Blue band
19,024MVPs
3,780Hours (in match)
9,398Bombs planted
1,738Bombs defused

Most-used weapons

AK-4732,922
AWP13,218
SG 55311,199
P907,615
P2507,133
AUG7,058

Lifetime map wins

21,488inferno
15,402dust2
12,265nuke
2,538train
2,513cbble
2,154vertigo
820dust
148office

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.

11.2%Headshot accuracy
40.1%Accuracy (enemy spotted)
42.5%Spray accuracy
80.2%Counter-strafing
10.6°Preaim
613msReaction time
48.3%T opening success
49.9%CT opening success
0.63Enemies flashed / flash
5.4%Flash assists
11.53HE damage / grenade
10.28Flashes / 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 11.1748% — below the 15% mark we flag

    Aim Training →
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.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke3–13-0.037%13 Nov →
cache16–12-0.026%13 Nov →
inferno6–13-0.004%13 Nov →
inferno16–12-0.0020%8 Nov →
mirage4–13-0.0812%7 Nov →
inferno13–7-0.008%7 Nov →
inferno13–100.088%7 Nov →
cache1–6-0.0420%7 Nov →
mirage7–13-0.0612%7 Nov →
ancient6–13-0.0211%7 Nov →
inferno8–13-0.0510%7 Nov →
nuke13–70.1013%7 Nov →
mirage9–13-0.0618%6 Nov →
ancient13–110.016%6 Nov →
inferno13–60.0812%6 Nov →
inferno13–90.0411%6 Nov →
inferno13–160.067%6 Nov →
inferno7–13-0.0913%4 Nov →
inferno10–130.0115%4 Nov →
dust213–5-0.0413%4 Nov →
ancient13–10.0215%4 Nov →
mirage15–150.0314%4 Nov →
cache11–13-0.084%3 Nov →
inferno8–8-0.0411%3 Nov →
ancient10–13-0.007%3 Nov →
dust27–13-0.0515%2 Nov →
mirage13–9-0.0310%1 Nov →
inferno16–120.0520%1 Nov →
cache13–8-0.0110%1 Nov →
dust211–13-0.0414%1 Nov →
mirage10–13-0.076%1 Nov →
ancient13–6-0.0218%31 Oct →
cache13–2-0.0412%31 Oct →
nuke6–13-0.039%31 Oct →
mirage13–9-0.0310%31 Oct →
inferno13–6-0.0120%31 Oct →
mirage11–13-0.090%31 Oct →
ancient1–13-0.0712%30 Oct →
ancient13–11-0.0315%30 Oct →
nuke3–13-0.0711%30 Oct →
ancient12–1-0.037%30 Oct →
dust24–130.0215%30 Oct →
dust27–130.0010%30 Oct →
nuke13–1-0.018%30 Oct →
dust27–13-0.0213%29 Oct →
inferno0–13-0.1018%29 Oct →
inferno4–10.1030%29 Oct →
dust213–11-0.0418%29 Oct →
anubis13–8-0.0310%29 Oct →
ancient10–130.013%29 Oct →
inferno13–70.0412%28 Oct →
dust20–13-0.120%28 Oct →
overpass3–9-0.1023%28 Oct →
inferno7–9-0.037%28 Oct →
anubis13–8-0.039%26 Oct →
ancient11–130.008%25 Oct →
nuke16–14-0.0316%25 Oct →
inferno9–00.0812%25 Oct →
nuke16–12-0.008%25 Oct →
nuke7–13-0.0414%24 Oct →
cache4–13-0.0420%24 Oct →
nuke13–4-0.0119%24 Oct →
nuke13–90.105%23 Oct →
inferno13–8-0.0313%23 Oct →
nuke13–6-0.0621%22 Oct →
nuke13–50.0625%22 Oct →
nuke13–8-0.048%22 Oct →
nuke8–13-0.0314%22 Oct →
dust22–13-0.020%20 Oct →
mirage13–90.0215%20 Oct →
anubis8–130.0615%18 Oct →
dust213–10.0512%18 Oct →
ancient9–130.0012%18 Oct →
anubis6–13-0.028%16 Oct →
ancient7–13-0.0719%16 Oct →
ancient13–8-0.018%16 Oct →
dust22–13-0.083%16 Oct →
dust213–2-0.0117%16 Oct →
nuke3–13-0.060%12 Oct →
anubis2–13-0.110%12 Oct →
nuke7–13-0.0310%12 Oct →
dust24–13-0.0219%12 Oct →
nuke4–13-0.118%11 Oct →
cache13–110.0210%11 Oct →
anubis13–11-0.055%9 Oct →
dust25–13-0.0913%9 Oct →
cache13–9-0.079%9 Oct →
rush_0016–2-0.007%9 Oct →
ancient11–13-0.074%8 Oct →
anubis9–13-0.0913%7 Oct →
cache13–60.0616%2 Oct →
inferno13–3-0.0121%2 Oct →
nuke13–5-0.0315%2 Oct →
ancient7–13-0.0329%2 Oct →
ancient13–9-0.0515%17 Sept →
ancient10–13-0.0219%13 Sept →
anubis13–9-0.0310%13 Sept →
anubis13–10-0.0313%11 Sept →
nuke13–60.0124%11 Sept →
nuke8–13-0.0311%11 Sept →

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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