DandyK1NG

DandyK1NG — CS2 Stats

76561197963451959[U:1:3186231]Steam profile ↗✓ No bans

1,583Tracked matches47%Win rate2020Tracked since
CSDB Rating5.7 SolidSupport
Premier CS Rating16,975Purple band · top ~20.5% of ranked players (population est.)
FaceitLevel 9 · 2,232 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (40 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: 16,975 +127 16 Aug – 25 Sept · 18 days played
15,73317,520peak 17,52016 Aug25 Sept
Faceit ELO: 2,232 +0 3 Sept – 23 Sept · 5 observations
2,2322,232peak 2,2323 Sept23 Sept
17,520Peak Premier in tracked matches
2,232Highest Faceit ELO seen on CSDB
46Days played since 2025-08-29

Faceit ELO

  • At peak — 2,232
  • Next: 2,500 ELO at 2,500 — 268 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-03
  • Level 9 first seen 2026-09-03

Premier CS Rating

  • 545 below peak (17,520)
  • +206 over 30 days · steady
  • Next: Pink band at 20,000 — 3,025 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-03
  • Blue band first seen 2026-09-03

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.GGDandyK1NGFACEITLevel 9 · 2,232 ELOSTANDINGTop 20.7% of rankedPREMIER16,975 · Purple bandPEAK ELO2,232csdb.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

Aim71
Positioning51
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY42–53–5Last 10042%Win rateLLWWLWLLWW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −0.1pp headshot accuracy · +5ms 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 24%
  • Avg reaction 580ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 570ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 22%
  • Avg reaction 568ms

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 (+1.8 against its own average).

Aim7.1
Utility6.0
Positioning5.1
Opening Duels2.4
Clutch3.2

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 88% playstyle similarity

Most alike: positioning profile, utility contribution.

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

T-side openings. Opening success drops from 46% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 594ms 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

Aim7.1
Positioning5.1
Utility6.0
Mechanics6.8
Opening Duels2.0
Win Impact3.9

Composite 5.7/10 (Solid), 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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time588ms−71ms
first ⅓ avg 659ms → last ⅓ avg 588ms
Headshot accuracy24.7%+0.9%
first ⅓ avg 23.8% → last ⅓ avg 24.7%

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

0.16Best match rating · 13–3 · inferno, 9 Aug →
45%Best headshot accuracy · 13–8 · mirage, 24 Jun →
422msFastest reaction time · 13–1 · inferno, 25 Sept →
13–1Biggest win · inferno, 25 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
6–10In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 57% over 23ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoA2313–1057%0.00
mirageD206–1430%-0.01
nukeB2010–1050%0.02
dust2C208–1240%0.02
cacheD62–433%0.01
ancientD61–517%-0.00
overpass—31–233%0.00
anubis—21–150%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,836Matches
51%Win rate
0.92Avg K/D
68.6ADR
45%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
17Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage19647%0.8613.1
Inferno16656%0.9113.2
Nuke14558%0.9213.5
Dust23444%0.7912.7
Ancient3336%0.8813.3
Train2556%0.9716.0
Anubis2343%0.8613.2
Overpass1547%0.7412.0

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.

23.5%Headshot accuracy
31.2%Accuracy (enemy spotted)
31.7%Spray accuracy
80.6%Counter-strafing
8.7°Preaim
594msReaction time
23.2%T opening success
46.2%CT opening success
0.70Enemies flashed / flash
9.3%Flash assists
7.61HE damage / grenade
9.02Flashes / 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. 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 23.1623% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–130.0128%17 Oct →
mirage4–130.0126%2 Oct →
inferno13–1-0.0017%25 Sept →
nuke13–10-0.0214%18 Sept →
nuke8–13-0.0335%18 Sept →
inferno13–70.0725%16 Sept →
dust210–13-0.0424%16 Sept →
inferno6–130.0132%9 Sept →
nuke13–4-0.0014%9 Sept →
mirage13–6-0.0310%8 Sept →
inferno11–130.0321%7 Sept →
mirage7–130.0214%3 Sept →
dust25–13-0.0627%3 Sept →
dust213–80.0726%1 Sept →
anubis13–20.104%1 Sept →
ancient8–130.0220%1 Sept →
inferno8–130.0031%29 Aug →
mirage13–10-0.0632%29 Aug →
nuke13–11-0.0125%29 Aug →
ancient4–13-0.0525%24 Aug →
dust213–50.0132%24 Aug →
nuke8–130.0322%24 Aug →
dust211–13-0.0223%22 Aug →
cache13–70.0323%22 Aug →
mirage6–13-0.0028%22 Aug →
nuke13–40.0219%22 Aug →
nuke7–130.0427%20 Aug →
dust24–130.0323%20 Aug →
nuke13–11-0.0023%19 Aug →
cache13–20.0230%19 Aug →
cache7–13-0.0540%19 Aug →
nuke13–70.1337%19 Aug →
dust29–130.0140%18 Aug →
mirage11–130.0626%18 Aug →
dust26–13-0.0027%16 Aug →
mirage10–13-0.0413%16 Aug →
dust213–40.0527%16 Aug →
dust213–40.0438%16 Aug →
mirage3–13-0.0527%16 Aug →
inferno13–4-0.0119%16 Aug →
dust216–130.0019%13 Aug →
mirage11–13-0.0626%13 Aug →
nuke13–30.0215%13 Aug →
inferno13–70.0129%9 Aug →
inferno13–110.0217%9 Aug →
inferno13–30.1622%9 Aug →
dust213–40.0621%9 Aug →
anubis2–13-0.0422%7 Aug →
dust211–40.0431%7 Aug →
nuke5–13-0.0418%7 Aug →
dust213–90.0331%4 Aug →
mirage9–130.0520%4 Aug →
dust215–150.0335%27 Jul →
mirage13–60.0144%27 Jul →
inferno13–8-0.0214%27 Jul →
inferno13–9-0.0324%26 Jul →
mirage8–13-0.0125%26 Jul →
cache14–16-0.0326%26 Jul →
mirage13–70.0344%1 Jul →
nuke15–150.0131%1 Jul →
ancient10–13-0.0027%1 Jul →
nuke9–130.1122%1 Jul →
dust211–130.0321%1 Jul →
inferno7–13-0.0123%1 Jul →
inferno13–6-0.0319%24 Jun →
nuke9–130.0424%24 Jun →
inferno13–90.0024%24 Jun →
nuke7–13-0.0528%24 Jun →
dust24–130.0139%24 Jun →
ancient7–130.0629%24 Jun →
mirage13–80.0945%24 Jun →
dust29–130.0430%17 Jun →
inferno2–13-0.0731%17 Jun →
cache12–120.0539%17 Jun →
nuke13–110.0424%17 Jun →
inferno12–120.0617%10 Jun →
dust212–120.1229%10 Jun →
mirage5–13-0.058%3 Jun →
nuke8–130.0632%3 Jun →
nuke13–110.1416%27 May →
mirage11–13-0.0522%18 May →
inferno11–130.0329%8 May →
inferno13–6-0.0031%13 Apr →
mirage11–13-0.0114%12 Apr →
mirage13–110.0422%11 Apr →
ancient13–100.0320%9 Apr →
overpass13–160.0119%17 Nov →
nuke13–8-0.0020%24 Oct →
mirage7–13-0.0528%21 Oct →
inferno13–7-0.0322%16 Oct →
inferno6–13-0.0210%14 Oct →
overpass16–13-0.0327%10 Oct →
inferno5–13-0.0519%5 Oct →
nuke9–13-0.049%1 Oct →
overpass8–130.0324%1 Oct →
inferno13–70.0526%2 Sept →
mirage11–130.0215%2 Sept →
ancient13–16-0.0728%30 Aug →
inferno9–13-0.0610%30 Aug →
dust25–13-0.0226%29 Aug →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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