Daryl

Daryl — CS2 Stats

76561199051327862[U:1:1091062134]Steam profile ↗✓ No bans

2,937Tracked matches46%Win rate2020Tracked since
CSDB Rating5.7 SolidPositional Player
Premier CS Rating20,308Top 50% of 212,910 CSDB-tracked playersPink band · top ~8.2% of ranked players (population est.)
CSDB Leaderboard#79094 of 259623 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (25 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: 20,308 -2,253 20 Jun – 9 Oct · 22 days played
18,12723,580peak 23,58020 Jun9 Oct
Faceit ELO: 1,755 +0 31 Aug – 25 Sept · 4 observations
1,7551,755peak 1,75531 Aug25 Sept
23,771Peak Premier in tracked matches
1,755Highest Faceit ELO seen on CSDB
34Days played since 2026-06-20

Faceit ELO

  • At peak — 1,755
  • 0 over 30 days · steady
  • Next: Level 10 at 2,001 — 246 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-31
  • Level 8 first seen 2026-08-31

Premier CS Rating

  • 3,272 below peak (23,580)
  • +632 over 30 days · improving
  • -3,272 over 90 days
  • Next: Red band at 25,000 — 4,692 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-20
  • Purple band first seen 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGDarylPREMIER20,308 · Pink band30 DAYS0 ELOPEAK ELO1,755csdb.gg/stats

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Performance scores

Aim72
Positioning59
Utility39

0–100 skill scores via Leetify.

Recent form

COLD45–49–6Last 10045%Win rateWLTTLLLLWL

Last 10 vs previous 10: −30pp win rate · −0.05 avg rating · −6.7pp headshot accuracy · +30ms reaction

Win rate down 30pp 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

  • 1–2–2 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 625ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 590ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 575ms

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 (+1.2 against its own average).

Aim7.2
Utility3.9
Positioning5.9
Opening Duels3.5
Clutch5.4

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

m0NESY

Plays most like m0NESY 90% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

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

Reaction time. 585ms 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

Aim7.2
Positioning5.9
Utility3.9
Mechanics5.8
Opening Duels4.6
Win Impact3.8

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time581ms−53ms
first ⅓ avg 635ms → last ⅓ avg 581ms
Headshot accuracy14.5%+0.9%
first ⅓ avg 13.6% → last ⅓ avg 14.5%

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

0.14Best match rating · 13–8 · anubis, 4 Sept →
30%Best headshot accuracy · 13–11 · boulder, 31 Jul →
406msFastest reaction time · 13–10 · inferno, 26 Sept →
13–2Biggest win · train, 26 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–4In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 47% over 15cacheWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
mirageC2712–1544%0.01
anubisB157–847%0.01
ancientB157–847%0.01
cacheD122–1017%-0.03
infernoB115–645%-0.01
nukeC73–443%0.02
overpass—42–250%0.07
dust2—33–0100%0.05
vertigo—32–167%0.05
train—11–0100%0.00
boulder—11–0100%0.06
debris—10–10%0.06

Across the last 100 tracked matches.

Faceit stats

Combat

187Matches
55%Win rate
1.08Avg K/D
83.5ADR
41%Headshot %

Clutches & streaks

47%1v1 clutch win
24%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3543%1.0616.1
Ancient2245%0.9316.1
Inferno1953%1.3219.1
Anubis1164%1.0717.8
Dust21050%0.9214.3
Nuke850%1.0413.3
Overpass771%1.0917.9
Vertigo4100%1.4219.3

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.2%Headshot accuracy
39.6%Accuracy (enemy spotted)
43.2%Spray accuracy
76.3%Counter-strafing
10.4°Preaim
585msReaction time
50.1%T opening success
46.7%CT opening success
0.42Enemies flashed / flash
3.2%Flash assists
6.77HE damage / grenade
5.18Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.2469% — 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 0.4191 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust213–60.079%24 Oct →
mirage2–13-0.0410%24 Oct →
vertigo12–12-0.0412%16 Oct →
mirage12–120.0513%16 Oct →
cache4–13-0.1014%9 Oct →
anubis8–13-0.089%9 Oct →
cache3–13-0.045%3 Oct →
cache10–13-0.057%3 Oct →
mirage13–70.0411%3 Oct →
anubis2–13-0.110%3 Oct →
mirage13–80.079%27 Sept →
inferno13–10-0.0012%26 Sept →
mirage13–60.0615%26 Sept →
train13–20.0018%26 Sept →
cache8–130.0622%25 Sept →
anubis11–130.0318%25 Sept →
vertigo13–100.109%25 Sept →
ancient3–13-0.0613%19 Sept →
cache3–13-0.0224%19 Sept →
mirage5–13-0.0618%19 Sept →
anubis13–8-0.0912%18 Sept →
nuke16–12-0.0110%18 Sept →
inferno13–80.0815%18 Sept →
mirage2–130.0223%12 Sept →
overpass13–80.1130%12 Sept →
mirage10–130.0024%12 Sept →
inferno13–110.0225%12 Sept →
anubis11–130.049%5 Sept →
inferno9–130.017%5 Sept →
anubis13–80.1425%4 Sept →
mirage9–13-0.0016%29 Aug →
anubis13–160.0318%28 Aug →
mirage13–110.0518%28 Aug →
inferno6–13-0.0115%28 Aug →
ancient13–60.0719%28 Aug →
nuke9–130.0123%26 Aug →
mirage2–13-0.0321%23 Aug →
nuke3–130.0612%22 Aug →
cache13–9-0.0110%22 Aug →
vertigo13–90.1119%22 Aug →
anubis13–16-0.0124%14 Aug →
ancient13–7-0.0312%14 Aug →
nuke13–80.0121%14 Aug →
mirage0–13-0.0520%14 Aug →
inferno15–15-0.1014%8 Aug →
cache7–13-0.0126%8 Aug →
mirage13–100.038%8 Aug →
mirage15–15-0.0516%7 Aug →
anubis13–70.0416%7 Aug →
cache13–9-0.0127%7 Aug →
mirage13–30.1125%7 Aug →
inferno13–5-0.0015%7 Aug →
inferno13–60.0227%7 Aug →
ancient5–13-0.0117%4 Aug →
mirage15–15-0.0110%1 Aug →
anubis13–90.0023%1 Aug →
ancient13–50.0323%1 Aug →
boulder13–110.0630%31 Jul →
ancient7–13-0.0510%28 Jul →
dust213–9-0.0320%28 Jul →
ancient13–80.0217%28 Jul →
cache4–13-0.0427%12 Jul →
mirage13–30.0519%12 Jul →
nuke7–13-0.0311%11 Jul →
mirage5–130.0323%11 Jul →
cache10–13-0.0617%10 Jul →
cache5–13-0.0212%10 Jul →
mirage4–130.0119%10 Jul →
ancient13–110.0814%10 Jul →
mirage8–13-0.0312%10 Jul →
inferno10–13-0.0611%10 Jul →
anubis1–13-0.0015%10 Jul →
cache4–13-0.0716%10 Jul →
debris8–80.0617%10 Jul →
nuke10–130.0820%8 Jul →
mirage13–70.0313%4 Jul →
ancient6–130.0411%4 Jul →
dust213–50.1012%4 Jul →
anubis13–20.0217%4 Jul →
mirage13–6-0.049%4 Jul →
inferno8–130.0014%4 Jul →
mirage16–120.0314%3 Jul →
overpass13–110.1012%3 Jul →
ancient13–30.0721%3 Jul →
overpass8–130.0415%3 Jul →
ancient8–130.0116%3 Jul →
ancient6–13-0.0423%27 Jun →
mirage9–130.0312%27 Jun →
overpass4–130.0415%26 Jun →
anubis3–130.038%26 Jun →
mirage11–130.0511%26 Jun →
ancient7–13-0.0011%26 Jun →
mirage13–110.0715%26 Jun →
inferno1–13-0.068%26 Jun →
anubis13–60.0717%26 Jun →
anubis13–70.0613%23 Jun →
mirage13–7-0.025%23 Jun →
ancient13–90.019%23 Jun →
nuke13–70.0413%23 Jun →
ancient11–13-0.0313%20 Jun →

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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