stonedkdog

stonedkdog — CS2 Stats

76561199125386335[U:1:1165120607]Steam profile ↗✓ No bans

272Tracked matches21%Win rate2025Tracked since
127Hours in CS
CSDB Rating2.7 Learning
Premier CS Rating1,118Grey band · top ~95.3% of ranked players (population est.)
CSDB Leaderboard#40710 of 51896 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=369), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate36.5%37.5%39.7%3.2% short
Shot accuracy0.0%4.5%6.7%6.7% short
Kill/death ratio0.410.820.910.49 short
Match win rate28.9%39.1%42.1%13.3% short

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

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

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CSDB.GGstonedkdogPREMIER1,118 · Grey bandcsdb.gg/stats

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Performance scores

Aim29
Positioning27
Utility35

0–100 skill scores via Leetify.

Recent form

COLD26722Last 10026%Win rateWLLLWLLLLL

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

Aim2.9
Aggression0.7
Utility3.5
Positioning2.7
Opening Duels0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 59% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; 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. 809ms 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

Aim2.9
Positioning2.7
Utility3.5
Mechanics6.8
Opening Duels0.0
Win Impact0.0

Composite 2.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.08+0.00
first ⅓ avg -0.08 → last ⅓ avg -0.08
Reaction time816ms−8ms
first ⅓ avg 824ms → last ⅓ avg 816ms
Headshot accuracy9.8%−0.3%
first ⅓ avg 10.1% → last ⅓ avg 9.8%

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.

Highlights

0.08Best rating — train 13–3
131Biggest win — mirage
2Longest win streak
65In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 35% over 17infernoWeakest map · 18% over 17
MapGradePlayedRecordWin rateAvg rating
mirageD1851328%-0.06
infernoD1731418%-0.07
nukeC1761135%-0.07
dust2D1651131%-0.07
cacheD134931%-0.08
ancientD102820%-0.07
anubis4040%-0.10
train31233%-0.03
overpass1010%-0.09
vertigo1010%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (18% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

2,470Lifetime kills
0.41K/D
357Matches
28.9%Match win rate
36.5%Headshot %
0.0%Shot accuracy
196MVPs
127Hours (in match)
349Bombs planted
31Bombs defused

Most-used weapons

Lifetime map wins

571dust2
422nuke
302inferno
140train
98vertigo

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.

9.3%Headshot accuracy
29.6%Accuracy (enemy spotted)
26.4%Spray accuracy
80.6%Counter-strafing
7.4°Preaim
809msReaction time
17.9%T opening success
18.0%CT opening success
0.43Enemies flashed / flash
3.4%Flash assists
8.44HE damage / grenade
5.65Flashes / 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 9.3107% — below the 15% mark we flag

    Aim Training
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 808.7093ms — above the 700ms mark we flag

    Aim Training
  3. 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 0.4256 — below the 0.5 mark we flag

    Grenade Lineups
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.

18% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–9-0.1011%28 Aug
inferno10–13-0.0211%28 Aug
cache8–13-0.118%27 Aug
cache2–13-0.1317%27 Aug
cache13–11-0.103%27 Aug
cache2–13-0.1017%27 Aug
mirage12–16-0.028%27 Aug
dust214–16-0.109%26 Aug
cache13–16-0.077%25 Aug
ancient4–13-0.100%25 Aug
mirage13–5-0.099%25 Aug
nuke7–130.018%24 Aug
nuke5–13-0.1220%24 Aug
cache6–13-0.090%23 Aug
inferno3–13-0.006%23 Aug
cache12–12-0.0616%23 Aug
inferno11–13-0.109%23 Aug
ancient0–13-0.0812%23 Aug
overpass9–13-0.0914%23 Aug
cache8–13-0.1010%23 Aug
dust27–13-0.134%23 Aug
ancient6–13-0.0625%22 Aug
inferno13–6-0.130%22 Aug
inferno6–13-0.056%21 Aug
dust22–13-0.1013%21 Aug
nuke13–5-0.067%21 Aug
nuke9–13-0.018%21 Aug
ancient13–2-0.0813%21 Aug
anubis2–13-0.0810%21 Aug
inferno8–13-0.086%21 Aug
ancient4–13-0.0411%21 Aug
mirage14–16-0.0312%21 Aug
nuke10–13-0.0715%21 Aug
dust210–13-0.1017%20 Aug
mirage8–13-0.090%20 Aug
inferno6–13-0.093%20 Aug
inferno2–0-0.040%20 Aug
dust213–11-0.0910%20 Aug
ancient9–13-0.097%20 Aug
mirage13–5-0.0512%19 Aug
inferno1–13-0.149%17 Aug
mirage1–8-0.040%16 Aug
mirage5–13-0.0210%14 Aug
dust213–10-0.0315%14 Aug
mirage2–13-0.1115%12 Aug
nuke7–13-0.073%12 Aug
nuke13–11-0.076%12 Aug
train13–30.087%12 Aug
train9–13-0.047%12 Aug
dust213–60.076%12 Aug
dust21–13-0.120%12 Aug
ancient3–13-0.0311%6 Aug
nuke7–13-0.0411%6 Aug
inferno1–13-0.0311%6 Aug
mirage9–13-0.044%6 Aug
nuke8–13-0.125%6 Aug
ancient13–7-0.059%6 Aug
dust28–13-0.0911%5 Aug
anubis14–16-0.128%5 Aug
ancient6–13-0.105%5 Aug
nuke13–5-0.0315%5 Aug
dust213–5-0.0614%5 Aug
ancient9–13-0.0912%5 Aug
nuke13–11-0.055%5 Aug
mirage13–10.038%5 Aug
mirage2–13-0.1513%5 Aug
nuke13–6-0.0610%5 Aug
anubis5–13-0.0911%5 Aug
cache7–13-0.0515%5 Aug
inferno8–13-0.086%5 Aug
nuke3–13-0.107%4 Aug
dust29–13-0.029%4 Aug
dust25–13-0.127%4 Aug
train5–13-0.1410%4 Aug
mirage9–13-0.0513%4 Aug
mirage9–13-0.1110%4 Aug
mirage1–13-0.075%3 Aug
dust21–13-0.0817%2 Aug
inferno5–13-0.093%2 Aug
nuke13–4-0.0613%2 Aug
inferno7–13-0.094%2 Aug
dust213–11-0.0716%2 Aug
cache13–10-0.0913%2 Aug
mirage10–13-0.0414%2 Aug
inferno7–13-0.117%2 Aug
cache5–13-0.0413%1 Aug
nuke7–13-0.1014%31 Jul
mirage11–13-0.0814%31 Jul
cache13–8-0.0015%31 Jul
nuke7–13-0.090%31 Jul
inferno13–3-0.0420%31 Jul
anubis6–13-0.096%31 Jul
dust212–16-0.105%31 Jul
inferno8–13-0.0611%31 Jul
mirage13–1-0.065%31 Jul
cache13–5-0.1011%31 Jul
inferno7–13-0.1013%31 Jul
nuke3–13-0.0714%30 Jul
dust212–12-0.0513%30 Jul
vertigo5–13-0.070%30 Jul

Match data via Leetify.

Milestones

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