KingOfRatShot

KingOfRatShot — CS2 Stats

FR76561198827361424[U:1:867095696]Steam profile ↗✓ No bans

602Tracked matches61%Win rate2023Tracked since
904Hours in CS
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating12,518Blue band · top ~41.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (3 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. 26 days played since 3 Jul 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 12,518 +6,249 3 Jul20 Sept · 23 days played
5,76912,518peak 12,5183 Jul20 Sept
12,518Peak Premier in tracked matches
26Days played since 2026-07-03

Premier CS Rating

  • At peak — 12,518
  • +4,168 over 30 days · improving
  • +6,249 over 90 days
  • Next: Purple band at 15,000 2,482 to go
  • Reached: 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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate44.2%41.9%44.3%meets
Shot accuracy0.0%9.6%11.8%11.8% short
Kill/death ratio1.090.981.03above
Match win rate45.6%43.8%45.2%meets

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGKingOfRatShotPREMIER12,518 · Blue bandcsdb.gg/stats

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Performance scores

Aim59
Positioning61
Utility29

0–100 skill scores via Leetify.

Recent form

HOT54388Last 10054%Win rateWWWWLLWWLW

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · −1.4pp headshot accuracy · +32ms reaction

Win rate up 20pp 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 41 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 11%
  • Avg reaction 616ms

Last 10

  • 73 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 667ms

Last 20

  • 1271 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 651ms

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 PlayerPositioning stands above the rest of this profile (+1.6 against its own average).

Aim5.9
Utility2.9
Positioning6.1
Opening Duels5.2
Clutch3.8

Limited utility dependence

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

donk

Plays most like donk 89% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

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

Reaction time. 663ms 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

Aim5.9
Positioning6.1
Utility2.9
Mechanics6.2
Opening Duels4.7
Win Impact8.6

Composite 5.4/10 (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 rating-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time659ms+16ms
first ⅓ avg 643ms → last ⅓ avg 659ms
Headshot accuracy16.5%−0.3%
first ⅓ avg 16.8% → last ⅓ avg 16.5%

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

0.17Best match rating · 13–2 · anubis, 18 Jul
50%Best headshot accuracy · 3–0 · dust2, 8 Sept
484msFastest reaction time · 15–15 · dust2, 7 Sept
13–1Biggest win · cache, 22 Jul

Across the last 100 tracked matches.

Highlights

6Longest win streak
W4Current streak
73In matches decided by ≤2 rounds
12Overtime games

Map breakdown

cacheBest map · 86% over 7mirageWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
nukeC25111444%-0.00
dust2A22121055%0.02
ancientS139469%-0.00
infernoB126650%0.01
mirageD124833%-0.01
anubisS96367%0.02
cacheS76186%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

40,404Lifetime kills
1.09K/D · Top 25% of Blue band
2,327Matches
45.6%Match win rate · Top 50% of Blue band
44.2%Headshot % · Top 50% of Blue band
0.0%Shot accuracy
5,024MVPs
904Hours (in match)
1,843Bombs planted
609Bombs defused

Most-used weapons

Lifetime map wins

4,565dust2
3,108inferno
2,520nuke
1,206vertigo
388train
82office
41italy
17ar_baggage

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

Faceit stats

Combat

29Matches
52%Win rate
0.84Avg K/D
71.1ADR
43%Headshot %

Clutches & streaks

39%1v1 clutch win
8%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage862%0.9612.3
Dust2729%0.7313.3
Inferno450%0.8811.0
Anubis475%0.7910.0
Nuke250%1.3218.0
Ancient250%0.6511.0
Vertigo10%0.447.0
Overpass1100%0.6710.0

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.

16.9%Headshot accuracy
36.5%Accuracy (enemy spotted)
36.1%Spray accuracy
78.0%Counter-strafing
10.8°Preaim
663msReaction time
41.5%T opening success
56.2%CT opening success
0.42Enemies flashed / flash
2.5%Flash assists
5.83HE damage / grenade
2.94Flashes / 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. 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 0.4188 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Mirage

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–10-0.0216%20 Sept
dust213–50.0612%20 Sept
nuke8–40.088%20 Sept
inferno13–100.0011%20 Sept
ancient9–130.028%19 Sept
nuke11–13-0.0716%19 Sept
cache13–110.0015%19 Sept
inferno13–10-0.0224%19 Sept
nuke7–13-0.0917%19 Sept
nuke13–90.0527%19 Sept
nuke9–130.0525%19 Sept
cache13–50.0914%19 Sept
dust26–130.0319%19 Sept
nuke9–13-0.0410%19 Sept
inferno9–130.0322%19 Sept
nuke13–8-0.0022%19 Sept
dust213–60.0817%18 Sept
inferno15–150.0012%18 Sept
ancient13–11-0.0318%18 Sept
ancient13–11-0.0310%18 Sept
nuke15–15-0.0121%18 Sept
dust213–8-0.0316%17 Sept
dust213–50.0124%10 Sept
dust213–20.0123%10 Sept
dust210–13-0.0415%9 Sept
mirage2–13-0.055%9 Sept
mirage9–13-0.0114%9 Sept
ancient13–8-0.0424%9 Sept
cache13–60.0317%9 Sept
dust25–13-0.0423%9 Sept
nuke5–13-0.0314%9 Sept
ancient13–11-0.0111%9 Sept
mirage2–13-0.1014%9 Sept
ancient13–100.0122%9 Sept
dust215–15-0.0120%8 Sept
anubis13–10-0.0215%8 Sept
nuke10–13-0.0416%8 Sept
dust24–130.0111%8 Sept
dust23–00.0450%8 Sept
mirage13–100.0517%8 Sept
inferno13–7-0.0316%8 Sept
nuke13–7-0.0222%8 Sept
ancient13–7-0.056%8 Sept
ancient15–150.0513%7 Sept
inferno8–130.0118%7 Sept
mirage10–13-0.0311%7 Sept
dust213–90.1319%7 Sept
dust210–130.0114%7 Sept
nuke13–80.0120%7 Sept
mirage9–13-0.0112%7 Sept
dust215–150.0119%7 Sept
dust213–11-0.0315%31 Aug
anubis13–40.0613%31 Aug
dust210–13-0.0315%31 Aug
cache13–6-0.0117%26 Aug
nuke16–140.0015%25 Aug
anubis13–110.0417%25 Aug
mirage4–13-0.0112%12 Aug
nuke13–7-0.007%11 Aug
dust213–30.0418%11 Aug
inferno13–80.0915%11 Aug
dust28–13-0.0412%10 Aug
cache13–9-0.0217%10 Aug
nuke1–13-0.0112%10 Aug
dust213–70.0620%10 Aug
ancient7–13-0.0611%10 Aug
anubis9–130.0012%10 Aug
nuke13–10-0.0215%9 Aug
ancient16–130.0415%9 Aug
anubis8–13-0.0613%8 Aug
ancient4–13-0.0711%8 Aug
cache13–10.0014%22 Jul
nuke9–13-0.0213%22 Jul
ancient13–30.0611%22 Jul
mirage13–7-0.0121%20 Jul
inferno13–10-0.0316%18 Jul
anubis13–80.0524%18 Jul
anubis13–20.1717%18 Jul
inferno15–150.0619%17 Jul
inferno12–120.0012%17 Jul
anubis12–160.0116%17 Jul
nuke9–13-0.0113%17 Jul
inferno11–13-0.057%17 Jul
cache3–130.0414%17 Jul
mirage13–70.0727%17 Jul
nuke1–130.0815%17 Jul
mirage8–13-0.0916%16 Jul
nuke10–13-0.0213%16 Jul
nuke15–15-0.0112%12 Jul
nuke13–60.0325%12 Jul
dust26–130.0919%11 Jul
mirage13–100.1730%11 Jul
inferno13–40.0123%11 Jul
nuke13–90.0226%10 Jul
ancient13–80.088%10 Jul
dust213–50.0219%10 Jul
nuke13–70.0326%10 Jul
nuke1–10-0.0414%9 Jul
anubis16–12-0.0314%9 Jul
mirage14–16-0.0716%3 Jul

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →