HelloDarlin

HelloDarlin — CS2 Stats

BM76561198079315293[U:1:119049565]Steam profile ↗✓ No bans

2,544Tracked matches57%Win rate2020Tracked since
9,760Hours in CS71Hrs last 2 wks
CSDB Rating5.1 DevelopingSupport
FaceitLevel 10 · 1,765 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (52 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,765 → 1,765
+171Tracked matches · now 2,544
+10.0ppWin rate · 46.7% → 56.7%

Rating over time

Faceit ELO: 1,765 +0 1 Sept – 23 Sept · 2 observations
1,7651,765peak 1,7651 Sept23 Sept
1,765Highest Faceit ELO seen on CSDB
82Days played since 2025-10-18

Faceit ELO

  • At peak — 1,765
  • Next: Level 10 at 2,001 — 236 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-01
  • Level 8 first seen 2026-09-01

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 playerLevel 10 median
Headshot rate43.8%50.9%
Shot accuracy13.0%13.7%
Kill/death ratio1.051.09
Match win rate43.5%48.4%

Share this profile

CSDB.GGHelloDarlinFACEITLevel 10 · 1,765 ELOSTANDINGTop 12.4% of rankedPEAK ELO1,765csdb.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

Aim54
Positioning50
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY41–58–1Last 10041%Win rateLLWLWLWWWW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −1.2pp headshot accuracy · −47ms 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 -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 503ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 538ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 562ms

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 (+2.4 against its own average).

Aim5.4
Utility7.1
Positioning5.0
Opening Duels3.2
Clutch3.6

Effective flashes

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

ZywOo

Plays most like ZywOo 70% 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. 583ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim5.4
Positioning5.0
Utility7.1
Mechanics4.4
Opening Duels3.3
Win Impact7.2

Composite 5.1/10 (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 rating0.01+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time582ms−65ms
first ⅓ avg 647ms → last ⅓ avg 582ms
Headshot accuracy14.7%−1.1%
first ⅓ avg 15.8% → last ⅓ avg 14.7%

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

0.12Best match rating · 13–5 · mirage, 15 Aug →
33%Best headshot accuracy · 13–8 · dust2, 24 Feb →
391msFastest reaction time · 13–3 · vertigo, 14 Sept →
13–2Biggest win · inferno, 10 Feb →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
6–14In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 71% over 7infernoWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
dust2D3211–2134%0.01
mirageC198–1142%-0.01
ancientC167–944%0.01
infernoD134–931%0.01
anubisS75–271%0.01
overpassD62–433%-0.01
cacheA53–260%-0.00
vertigo—11–0100%0.02
nuke—10–10%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

166,842Lifetime kills
1.05K/D
7,313Matches
43.5%Match win rate
43.8%Headshot %
13.0%Shot accuracy
15,212MVPs
3,254Hours (in match)
4,237Bombs planted
1,438Bombs defused

Most-used weapons

AK-4749,104
AWP13,480
MP95,691
Knife4,571
Tec-94,258

Lifetime map wins

29,314dust2
11,459inferno
4,307vertigo
3,289nuke
1,506train
10office
1cbble
1ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

5,543Matches
50%Win rate
1.04Avg K/D
81.7ADR
42%Headshot %

Clutches & streaks

38%1v1 clutch win
20%1v2 clutch win
14Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Dust283156%1.0716.5
Mirage70844%1.0115.7
Ancient52250%1.0315.9
Inferno33044%1.0415.6
Anubis29048%1.0015.1
Nuke13446%1.0215.8
Vertigo8745%0.9915.8
Overpass4245%0.9516.1

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.

14.4%Headshot accuracy
34.4%Accuracy (enemy spotted)
32.9%Spray accuracy
69.7%Counter-strafing
9.8°Preaim
583msReaction time
47.5%T opening success
39.0%CT opening success
0.74Enemies flashed / flash
7.9%Flash assists
10.22HE damage / grenade
15.32Flashes / 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 14.4425% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

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

    CT opening duels 38.9682% — 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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–130.0914%9 Nov →
mirage6–13-0.0412%4 Nov →
mirage13–3-0.0421%1 Nov →
dust28–13-0.0310%30 Oct →
anubis13–10-0.0112%18 Oct →
mirage11–130.0317%16 Oct →
ancient13–100.0413%15 Oct →
ancient13–70.0211%13 Oct →
dust213–30.0515%6 Oct →
cache13–110.046%5 Oct →
dust213–10-0.0417%5 Oct →
dust214–160.0116%1 Oct →
dust210–130.1221%29 Sept →
ancient13–100.0614%28 Sept →
cache13–90.0011%22 Sept →
cache10–13-0.0013%14 Sept →
vertigo13–30.0215%14 Sept →
inferno7–13-0.0712%13 Sept →
dust211–130.0616%1 Sept →
anubis13–60.037%29 Aug →
mirage3–13-0.0119%29 Aug →
ancient13–80.0520%28 Aug →
inferno13–60.0315%18 Aug →
mirage13–50.1213%15 Aug →
cache13–100.0117%13 Aug →
inferno5–13-0.0311%12 Aug →
anubis13–10-0.0113%28 Jul →
dust26–13-0.0511%25 Jul →
ancient13–11-0.0015%25 Jul →
dust27–13-0.0525%23 Jul →
ancient13–80.0214%23 Jul →
anubis16–120.0211%19 Jul →
inferno10–130.0325%19 Jul →
mirage3–13-0.039%16 Jul →
mirage13–9-0.0410%15 Jul →
ancient9–130.018%8 Jul →
nuke11–13-0.0314%6 Jul →
ancient13–90.0425%5 Jul →
dust27–13-0.0226%5 Jul →
dust213–9-0.0112%5 Jul →
overpass10–13-0.0214%4 Jul →
ancient11–13-0.0112%2 Jul →
inferno13–80.0219%28 Jun →
inferno5–13-0.0312%24 Jun →
ancient7–13-0.0112%20 Jun →
dust213–80.0518%17 Jun →
dust26–13-0.0219%17 Jun →
cache10–13-0.0615%22 May →
inferno8–130.0923%17 May →
dust28–13-0.0429%12 May →
dust29–130.0020%28 Apr →
overpass14–16-0.0124%27 Apr →
inferno5–130.0015%14 Apr →
inferno13–110.0718%14 Apr →
overpass9–13-0.0619%13 Apr →
dust210–130.0320%11 Apr →
mirage13–7-0.0129%10 Apr →
dust24–13-0.0224%4 Apr →
mirage13–16-0.0512%1 Apr →
mirage14–16-0.0515%30 Mar →
inferno11–13-0.0318%28 Mar →
mirage10–130.0226%22 Mar →
mirage6–13-0.0220%17 Mar →
dust213–50.0819%15 Mar →
ancient8–13-0.034%15 Mar →
overpass13–7-0.0413%14 Mar →
dust213–70.0611%7 Mar →
mirage11–130.0715%2 Mar →
anubis7–13-0.017%1 Mar →
anubis15–150.0715%28 Feb →
dust29–130.0212%28 Feb →
dust213–80.0133%24 Feb →
overpass4–13-0.0113%22 Feb →
dust25–13-0.0513%21 Feb →
dust216–120.038%21 Feb →
dust28–13-0.0118%13 Feb →
inferno13–2-0.0514%10 Feb →
anubis19–17-0.0218%10 Feb →
inferno7–130.0527%10 Feb →
mirage13–10-0.0120%10 Feb →
mirage13–6-0.0710%5 Feb →
dust24–13-0.0319%1 Feb →
ancient14–16-0.0415%23 Jan →
mirage13–110.037%19 Jan →
overpass13–70.0716%3 Jan →
dust211–130.0020%30 Dec →
dust213–100.0420%16 Dec →
dust29–13-0.0015%15 Dec →
mirage5–13-0.0527%13 Dec →
ancient8–130.0515%10 Dec →
mirage11–130.0217%5 Dec →
dust213–90.0116%22 Nov →
dust28–13-0.0113%21 Nov →
ancient9–13-0.0516%21 Nov →
mirage13–90.027%17 Nov →
inferno14–160.0120%6 Nov →
ancient4–13-0.0315%1 Nov →
dust213–110.0218%1 Nov →
ancient12–16-0.0316%29 Oct →
dust211–13-0.068%18 Oct →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 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.