The Stone — CS2 Stats

76561199113610076[U:1:1153344348]

802Tracked matches69%Win rate2022Tracked since
617Hours in CS
CSDB Rating5.0 Developing
Premier CS Rating9,999Light Blue band · top ~54.9% of ranked players (population est.)
CSDB Leaderboard#6101 of 8316 tracked
WingmanGold Nova II
Ladder ranks via Leetify

Share this profile

CSDB.GGThe StonePREMIER9,999 · Light Blue 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

Aim54
Positioning49
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY48466Last 10048%Win rateTLWWWTWWWL

Last 10 vs previous 10: +0pp win rate · -0.04 avg rating

Player DNA

Aim5.4
Aggression6.2
Utility5.7
Positioning4.9
Opening Duels1.6

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 85% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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

CT openings. Opening success drops from 44% on T to 29% on CT — first contacts on the defending side are being lost.

Reaction time. 677ms 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

Aim5.4
Positioning4.9
Utility5.7
Mechanics6.5
Opening Duels1.8
Win Impact10.0

Composite 5.0/10 (Developing), 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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time683ms−24ms
first ⅓ avg 707ms → last ⅓ avg 683ms
Headshot accuracy13.4%−1.2%
first ⅓ avg 14.5% → last ⅓ avg 13.4%

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

0.18Best rating — nuke 9–7
130Biggest win — inferno
5Longest win streak
79In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 83% over 12infernoWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
mirageB33161748%0.04
dust2D1861233%0.02
infernoD134931%-0.01
anubisS1210283%0.02
nukeA74357%-0.00
overpassS64267%0.01
cacheD62433%0.02
ancient21150%-0.00
train1010%0.09
office110100%-0.03
vertigo1010%-0.09

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

28,107Lifetime kills
1.13K/D · Top 50% of tracked players
2,112Matches
49.1%Match win rate · Top 50% of tracked players
38.0%Headshot %
7.9%Shot accuracy
4,277MVPs
617Hours (in match)
1,264Bombs planted
736Bombs defused

Most-used weapons

Lifetime map wins

1,815vertigo
1,645inferno
1,616dust2
728office
689nuke
320train
113cbble
44italy

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.

13.6%Headshot accuracy
34.6%Accuracy (enemy spotted)
38.7%Spray accuracy
79.4%Counter-strafing
10.7°Preaim
677msReaction time
44.4%T opening success
28.7%CT opening success
0.54Enemies flashed / flash
6.0%Flash assists
9.72HE damage / grenade
9.38Flashes / 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 13.5796% — 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 28.7048% — 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 & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust212–12-0.0122%27 Aug
nuke5–130.009%27 Aug
mirage13–80.0412%27 Aug
nuke13–110.0616%26 Aug
overpass13–50.129%26 Aug
mirage12–120.0822%26 Aug
nuke10–4-0.049%25 Aug
overpass13–60.056%25 Aug
dust213–60.0411%25 Aug
inferno9–13-0.0712%25 Aug
cache9–8-0.0318%25 Aug
dust213–50.1213%25 Aug
mirage8–13-0.0224%25 Aug
mirage13–30.0317%22 Aug
mirage10–130.0710%22 Aug
nuke9–70.1812%22 Aug
mirage13–50.1018%20 Aug
mirage13–90.0312%16 Aug
mirage6–70.1512%16 Aug
cache5–130.0112%13 Aug
train12–120.0913%13 Aug
anubis13–5-0.0015%11 Aug
nuke13–60.0227%11 Aug
anubis13–9-0.0510%27 Jun
anubis13–40.0420%27 Jun
mirage9–13-0.0115%27 Jun
anubis13–80.0711%26 Jun
overpass13–4-0.019%26 Jun
ancient5–13-0.0512%26 Jun
inferno13–70.023%26 Jun
dust215–15-0.029%26 Jun
mirage5–130.0213%26 Jun
dust215–15-0.0310%26 Jun
inferno11–130.008%26 Jun
dust213–50.0119%25 Jun
inferno7–130.049%25 Jun
inferno6–13-0.0211%25 Jun
ancient13–50.0514%25 Jun
dust213–11-0.0315%25 Jun
mirage13–100.0910%25 Jun
mirage11–130.0524%24 Jun
anubis13–30.0712%24 Jun
mirage15–15-0.0011%24 Jun
anubis13–5-0.058%24 Jun
dust210–130.0611%24 Jun
inferno13–00.0714%23 Jun
anubis13–3-0.0513%23 Jun
mirage13–100.0610%23 Jun
inferno13–5-0.0017%23 Jun
mirage13–7-0.0326%23 Jun
dust210–130.0319%23 Jun
dust213–16-0.0114%22 Jun
overpass9–13-0.0413%22 Jun
mirage1–13-0.0320%22 Jun
inferno13–6-0.0015%22 Jun
dust212–160.0422%22 Jun
anubis9–130.0216%22 Jun
office13–5-0.030%20 Jun
mirage13–100.1115%20 Jun
nuke1–9-0.2717%19 Jun
mirage9–13-0.028%19 Jun
dust22–60.1617%19 Jun
cache5–130.0310%17 Jun
inferno10–130.089%17 Jun
anubis7–130.0522%17 Jun
dust23–130.0316%17 Jun
inferno7–9-0.0017%10 Jun
overpass5–13-0.019%10 Jun
cache11–130.0613%10 Jun
dust28–13-0.0222%7 Jun
dust211–13-0.0420%7 Jun
mirage11–13-0.0313%6 Jun
mirage4–70.0411%3 Jun
vertigo9–13-0.0913%3 Jun
mirage13–80.0611%3 Jun
cache13–90.0213%31 May
mirage13–110.1113%30 May
mirage9–13-0.0116%30 May
inferno7–13-0.0113%29 May
mirage8–13-0.0415%29 May
anubis13–70.0214%27 May
anubis13–60.1413%27 May
dust213–10.1014%27 May
mirage3–13-0.0820%27 May
mirage11–130.0611%26 May
cache4–130.0511%26 May
nuke8–130.0412%26 May
mirage13–10-0.0114%23 May
dust214–16-0.0213%23 May
dust213–110.0219%23 May
inferno5–9-0.147%23 May
mirage7–130.0716%22 May
mirage13–50.0615%22 May
mirage13–50.0611%22 May
anubis13–90.0319%20 May
overpass13–3-0.047%20 May
inferno4–13-0.0522%20 May
mirage13–30.0318%18 May
mirage13–110.0129%18 May
mirage13–40.1513%18 May

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 →