Dying bryan

Dying bryan — CS2 Stats

GB76561198994847205[U:1:1034581477]Steam profile ↗✓ No bans

463Tracked matches38%Win rate2020Tracked since
369Hours in CS
CSDB Rating4.1 DevelopingSupport
Premier CS Rating18,105Purple band · top ~16% of ranked players (population est.)
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Jul 2026 (64 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 22 days played since 16 Jul 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 18,105 -662 20 Jul21 Jul · 2 days played
18,10518,767peak 18,76720 Jul21 Jul
18,767Peak Premier in tracked matches
22Days played since 2025-07-16

Premier CS Rating

  • 662 below peak (18,767)
  • Next: Pink band at 20,000 1,895 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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate47.6%44.3%46.9%meets
Shot accuracy13.9%11.8%13.0%above
Kill/death ratio0.871.031.080.21 short
Match win rate36.8%45.2%46.7%9.9% short

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

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

Share this profile

CSDB.GGDying bryanPREMIER18,105 · Purple bandcsdb.gg/stats

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Performance scores

Aim61
Positioning27
Utility35

0–100 skill scores via Leetify.

Recent form

COLD41518Last 10041%Win rateLTTLWLWLLL

Last 10 vs previous 10: −40pp win rate · +0.04 avg rating · +1.5pp headshot accuracy · −51ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.04), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 122 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 658ms

Last 10

  • 262 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 675ms

Last 20

  • 8102 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 701ms

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: SupportUtility contribution stands above the rest of this profile (+1.4 against its own average).

Aim6.1
Utility3.5
Positioning2.7
Opening Duels0.0

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

device

Plays most like device 93% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

Reaction time. 714ms 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
Positioning2.7
Utility3.5
Mechanics7.1
Opening Duels0.0
Win Impact1.0

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.03
first ⅓ avg -0.04 → last ⅓ avg -0.01
Reaction time708ms+20ms
first ⅓ avg 688ms → last ⅓ avg 708ms
Headshot accuracy23.1%+0.7%
first ⅓ avg 22.4% → last ⅓ avg 23.1%

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

0.33Best match rating · 9–1 · eldorado, 17 Jul
71%Best headshot accuracy · 4–13 · cache, 6 Jul
445msFastest reaction time · 7–1 · cache, 4 Jul
13–0Biggest win · dust2, 18 Jul

Across the last 100 tracked matches.

Highlights

7Longest win streak
75In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 58% over 12infernoWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
cacheD2061430%-0.04
overpassC167944%-0.04
ancientA127558%-0.03
infernoD113827%-0.07
poseidonC104640%0.01
debrisA74357%-0.02
dust2D62433%-0.07
mirage42250%-0.07
eldorado32167%0.12
sanctum21150%0.00
dogtown21150%-0.10
anubis1010%-0.02
nuke110100%-0.07
boulder1010%-0.12
fachwerk1010%-0.04
shelter1010%-0.09
stronghold110100%0.08
train1010%-0.02

Across the last 100 tracked matches.

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

Lifetime stats

18,936Lifetime kills
0.87K/D
1,342Matches
36.8%Match win rate
47.6%Headshot % · Top 50% of Purple band
13.9%Shot accuracy · Top 50% of Purple band
2,233MVPs
369Hours (in match)
801Bombs planted
115Bombs defused

Most-used weapons

Lifetime map wins

1,652inferno
1,076dust2
757train
432nuke
248cbble
182office
133vertigo
102lake

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.

23.4%Headshot accuracy
28.0%Accuracy (enemy spotted)
35.0%Spray accuracy
81.9%Counter-strafing
7.9°Preaim
714msReaction time
23.3%T opening success
24.6%CT opening success
0.51Enemies flashed / flash
2.2%Flash assists
8.74HE damage / grenade
6.18Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 713.7103ms — above the 700ms 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 23.2753% — 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.

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

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
debris5–9-0.0919%22 Jul
debris8–8-0.0030%22 Jul
poseidon8–80.1227%22 Jul
debris2–9-0.160%22 Jul
eldorado9–30.1326%22 Jul
poseidon7–9-0.0329%22 Jul
poseidon9–30.2450%22 Jul
anubis9–13-0.0216%21 Jul
cache6–13-0.0632%21 Jul
inferno6–13-0.0514%21 Jul
poseidon9–60.0144%21 Jul
debris9–7-0.0111%21 Jul
debris9–30.0737%21 Jul
nuke13–8-0.0729%20 Jul
cache7–13-0.088%20 Jul
cache8–13-0.1235%20 Jul
cache6–13-0.0720%20 Jul
poseidon6–9-0.0316%20 Jul
ancient13–5-0.039%20 Jul
ancient13–6-0.0120%20 Jul
dust21–13-0.1127%20 Jul
mirage13–7-0.0916%19 Jul
ancient13–6-0.0722%19 Jul
dust213–0-0.1123%18 Jul
dust213–11-0.0625%18 Jul
ancient13–6-0.0135%18 Jul
poseidon9–50.1422%18 Jul
debris9–6-0.0130%18 Jul
dust27–13-0.0311%17 Jul
inferno13–3-0.1420%17 Jul
inferno6–130.0321%17 Jul
eldorado9–10.3322%17 Jul
cache13–8-0.0115%10 Jul
ancient11–13-0.0519%10 Jul
cache13–5-0.0933%10 Jul
boulder7–13-0.1229%10 Jul
fachwerk5–13-0.0425%10 Jul
shelter10–13-0.0930%10 Jul
eldorado5–9-0.0930%10 Jul
debris9–40.0767%10 Jul
mirage12–12-0.148%8 Jul
cache7–130.0017%8 Jul
cache1–13-0.0522%8 Jul
poseidon9–60.0540%8 Jul
overpass2–13-0.1057%7 Jul
cache9–13-0.0533%7 Jul
cache6–130.0442%7 Jul
cache4–130.0771%6 Jul
cache13–10-0.0633%6 Jul
cache7–13-0.0814%6 Jul
sanctum9–70.0738%6 Jul
cache13–10-0.0722%5 Jul
dust29–13-0.0726%5 Jul
inferno7–9-0.1418%5 Jul
inferno3–9-0.1530%5 Jul
poseidon4–9-0.1517%5 Jul
poseidon4–9-0.1227%5 Jul
poseidon4–9-0.1043%5 Jul
sanctum5–9-0.0733%5 Jul
stronghold13–30.0825%5 Jul
cache5–130.0318%5 Jul
cache6–13-0.1031%4 Jul
cache7–1-0.0915%4 Jul
cache13–10-0.0129%2 Jul
cache12–12-0.0421%2 Jul
cache7–13-0.0643%2 Jul
ancient5–13-0.0621%27 Jul
overpass13–10-0.0119%26 Jul
overpass5–13-0.0923%26 Jul
ancient12–12-0.0823%26 Jul
dogtown8–80.0326%26 Jul
dogtown9–7-0.2315%26 Jul
ancient13–100.0115%25 Jul
overpass9–13-0.0918%25 Jul
overpass9–13-0.0519%25 Jul
ancient13–8-0.0235%25 Jul
ancient13–3-0.0324%25 Jul
overpass3–13-0.1016%25 Jul
overpass13–6-0.0724%25 Jul
overpass13–10-0.0128%24 Jul
dust29–13-0.0455%24 Jul
overpass5–130.0133%23 Jul
overpass13–50.0417%23 Jul
overpass13–60.0310%23 Jul
mirage4–13-0.0427%23 Jul
inferno8–8-0.0810%23 Jul
train12–12-0.0212%20 Jul
inferno13–11-0.0824%20 Jul
overpass6–13-0.0424%20 Jul
overpass13–11-0.0215%20 Jul
overpass4–13-0.0918%19 Jul
ancient5–13-0.0529%19 Jul
overpass13–11-0.0325%18 Jul
mirage13–9-0.0334%18 Jul
inferno7–9-0.1511%18 Jul
inferno4–130.0036%18 Jul
inferno11–13-0.109%18 Jul
ancient4–130.0329%18 Jul
inferno13–30.0620%16 Jul
overpass7–13-0.0619%16 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 →