kingdom.29953

kingdom.29953 — CS2 Stats

DE76561198242201936[U:1:281936208]Steam profile ↗✓ No bans

1,477Tracked matches37%Win rate2020Tracked since
3,046Hours in CS26Hrs last 2 wks
CSDB Rating4.2 DevelopingSupport
Premier CS Rating21,178Top 50% of 212,910 CSDB-tracked playersPink band · top ~7.2% of ranked players (population est.)
CSDB Leaderboard#67578 of 259682 tracked
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 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: 21,178 -630 15 Sept – 2 Nov · 20 days played
20,84224,985peak 24,98515 Sept2 Nov
24,985Peak Premier in tracked matches
31Days played since 2026-09-14

Premier CS Rating

  • 3,807 below peak (24,985)
  • -2,101 over 30 days · declining
  • Next: Red band at 25,000 — 3,822 to go
  • Reached: Pink band · 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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate44.5%46.9%49.3%4.7% short
Shot accuracy8.9%13.0%13.4%4.5% short
Kill/death ratio0.891.081.120.23 short
Match win rate43.5%46.7%48.5%5.0% short

This profile sits below the typical Red band player on every metric we can compare.

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

Share this profile

CSDB.GGkingdom.29953PREMIER21,178 · Pink bandcsdb.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

Aim42
Positioning40
Utility77

0–100 skill scores via Leetify.

Recent form

COLD51–41–8Last 10051%Win rateLWWTLLLLLW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +6.8pp headshot accuracy · +98ms reaction

Win rate down 20pp 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 26%
  • Avg reaction 686ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 744ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 695ms

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 (+3.8 against its own average).

Aim4.2
Utility7.7
Positioning4.0
Opening Duels0.0

High utility contribution

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 51% 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

Strengths

Utility. Utility score of 77 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 37% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 667ms 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

Aim4.2
Positioning4.0
Utility7.7
Mechanics5.2
Opening Duels0.9
Win Impact0.7

Composite 4.2/10 (Developing), 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 rating-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time670ms+66ms
first ⅓ avg 604ms → last ⅓ avg 670ms
Headshot accuracy17.2%−3.8%
first ⅓ avg 21.0% → last ⅓ avg 17.2%

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 · 8–13 · nuke, 14 Oct →
42%Best headshot accuracy · 4–13 · cache, 25 Oct →
391msFastest reaction time · 5–0 · cache, 26 Oct →
13–0Biggest win · anubis, 16 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–11In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 84% over 19nukeWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B2915–1452%-0.02
infernoS1916–384%-0.00
cacheC187–1139%-0.01
mirageB105–550%0.01
ancientD72–529%-0.02
nukeD61–517%0.01
anubisC52–340%0.00
vertigo—31–233%-0.04
overpass—22–0100%0.06
train—10–10%-0.02

Across the last 100 tracked matches.

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

Lifetime stats

60,205Lifetime kills
0.89K/D
4,074Matches
43.5%Match win rate
44.5%Headshot %
8.9%Shot accuracy
5,658MVPs
1,755Hours (in match)
4,214Bombs planted
1,003Bombs defused

Most-used weapons

AK-4713,108
AWP4,309
Negev2,621
SG 5532,239
MP92,201
MP72,169
SSG 082,077

Lifetime map wins

9,396inferno
7,060dust2
902nuke
596vertigo
356train
304cbble
124lake
75ar_shoots

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.

18.3%Headshot accuracy
32.4%Accuracy (enemy spotted)
31.8%Spray accuracy
73.5%Counter-strafing
12.1°Preaim
667msReaction time
20.2%T opening success
37.1%CT opening success
0.66Enemies flashed / flash
7.7%Flash assists
10.35HE damage / grenade
18.99Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.105° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis6–13-0.0817%2 Nov →
inferno13–9-0.0023%2 Nov →
mirage13–9-0.0518%1 Nov →
cache12–120.0238%1 Nov →
dust28–13-0.0432%1 Nov →
mirage8–13-0.059%1 Nov →
dust20–13-0.0815%1 Nov →
cache4–13-0.0319%1 Nov →
vertigo5–13-0.0520%30 Oct →
overpass13–70.0717%29 Oct →
dust213–2-0.0513%29 Oct →
inferno11–13-0.057%28 Oct →
inferno13–40.036%28 Oct →
inferno13–11-0.0221%28 Oct →
dust26–13-0.049%28 Oct →
mirage11–130.0220%27 Oct →
inferno13–8-0.0122%27 Oct →
dust212–12-0.0019%27 Oct →
mirage9–13-0.037%26 Oct →
nuke16–13-0.0318%26 Oct →
dust213–50.0923%26 Oct →
cache5–0-0.080%26 Oct →
ancient5–13-0.083%26 Oct →
cache4–130.0142%25 Oct →
inferno10–13-0.0516%25 Oct →
dust210–13-0.0627%23 Oct →
cache11–130.0022%23 Oct →
dust212–12-0.0616%23 Oct →
ancient8–13-0.0413%22 Oct →
dust27–13-0.0319%22 Oct →
anubis13–90.0114%22 Oct →
dust27–13-0.038%21 Oct →
mirage13–30.0315%21 Oct →
cache10–13-0.0417%21 Oct →
ancient13–50.0127%21 Oct →
mirage13–70.1028%20 Oct →
cache12–120.0235%20 Oct →
nuke3–13-0.0524%19 Oct →
nuke14–16-0.0119%19 Oct →
dust213–6-0.0015%18 Oct →
ancient8–13-0.0520%18 Oct →
anubis11–13-0.0017%15 Oct →
ancient11–13-0.0427%15 Oct →
inferno13–80.0329%15 Oct →
inferno7–3-0.0127%15 Oct →
dust213–4-0.0430%15 Oct →
dust25–00.0518%15 Oct →
inferno12–12-0.0420%14 Oct →
vertigo13–110.0127%14 Oct →
dust29–130.0526%14 Oct →
inferno13–40.0618%14 Oct →
nuke8–130.1413%14 Oct →
mirage12–120.0318%14 Oct →
inferno13–50.0221%13 Oct →
nuke13–16-0.0215%13 Oct →
dust213–10-0.0321%13 Oct →
dust213–11-0.1020%13 Oct →
train3–13-0.0227%13 Oct →
cache11–13-0.038%12 Oct →
cache14–16-0.0317%12 Oct →
dust213–80.0316%11 Oct →
mirage13–11-0.0316%11 Oct →
cache13–70.0620%8 Oct →
mirage13–80.0821%8 Oct →
dust213–6-0.0120%7 Oct →
dust213–3-0.0125%7 Oct →
cache7–13-0.0826%7 Oct →
overpass13–90.0437%7 Oct →
dust213–60.0123%7 Oct →
cache13–110.0417%5 Oct →
inferno13–70.0318%5 Oct →
dust26–13-0.0226%5 Oct →
dust211–130.0224%5 Oct →
dust213–8-0.016%4 Oct →
inferno13–2-0.055%4 Oct →
cache13–11-0.0519%23 Sept →
vertigo0–13-0.090%23 Sept →
inferno13–100.0122%22 Sept →
cache13–11-0.055%22 Sept →
dust213–11-0.0822%22 Sept →
cache13–80.0324%21 Sept →
inferno13–110.0021%21 Sept →
dust22–9-0.0422%20 Sept →
dust213–9-0.0335%20 Sept →
cache13–70.0419%20 Sept →
inferno13–8-0.0330%17 Sept →
dust213–11-0.0411%17 Sept →
anubis13–00.1327%16 Sept →
cache7–130.0223%16 Sept →
dust29–13-0.0221%16 Sept →
cache11–13-0.0435%16 Sept →
mirage8–13-0.0421%16 Sept →
ancient12–120.0439%16 Sept →
inferno13–30.0620%15 Sept →
anubis13–16-0.0322%15 Sept →
dust211–13-0.0114%15 Sept →
inferno13–7-0.0216%15 Sept →
inferno6–10.0520%15 Sept →
nuke12–120.0126%14 Sept →
ancient10–50.0123%14 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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