Stones — CS2 Stats

76561198076032249[U:1:115766521]✓ No bans

934Tracked matches53%Win rate2020Tracked since
8,257Hours in CS4Hrs last 2 wks
CSDB Rating6.6 SolidAggressive Rifler
Premier CS Rating21,514Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.8% of ranked players (population est.)
CSDB Leaderboard#7572 of 22059 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=3,917), 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 rate48.0%47.2%49.9%2.0% short
Shot accuracy18.2%12.7%13.4%above
Kill/death ratio0.931.091.120.19 short
Match win rate37.1%46.6%48.4%11.3% short

This profile matches the typical Red band player on 1 of 4 comparable metrics.

Widest gap: Match win rate. 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.

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CSDB.GGStonesPREMIER21,514 · Pink bandcsdb.gg/stats

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Performance scores

Aim81
Positioning61
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY55432Last 10055%Win rateLLWLLLWLWW

Last 10 vs previous 10: -20pp win rate · +0.00 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.1
Aggression8.8
Utility4.8
Positioning6.1
Opening Duels4.9
Clutch3.2

Strong CT-side openerLimited 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.

Your pro match

ropz

Plays most like ropz 93% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: higher 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

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

T-side openings. Opening success drops from 58% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 603ms 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

Aim8.1
Positioning6.1
Utility4.8
Mechanics6.8
Opening Duels4.9
Win Impact6.1

Composite 6.6/10 (Solid), 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 rating0.02+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time608ms+40ms
first ⅓ avg 568ms → last ⅓ avg 608ms
Headshot accuracy23.4%+4.6%
first ⅓ avg 18.8% → last ⅓ avg 23.4%

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

0.24Best rating — nuke 9–4
131Biggest win — ancient
6Longest win streak
L2Current streak
46In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 83% over 6infernoWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
ancientC1771041%0.02
nukeB168850%0.02
overpassA149564%0.02
infernoD134931%-0.01
mirageS107370%0.01
trainS107370%0.01
anubisS65183%0.01
dust2B63350%0.02
brewery21150%0.03
cache1010%-0.07
warden110100%0.02
vertigo1010%-0.04
golden110100%0.05
jura110100%0.04
grail110100%0.14

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

383,258Lifetime kills
0.93K/D
10,411Matches
37.1%Match win rate
48.0%Headshot % · Top 50% of Pink band
18.2%Shot accuracy · Top 10% of Pink band
25,675MVPs
11,544Hours (in match)
5,759Bombs planted
3,665Bombs defused

Most-used weapons

AK-47152,551
AWP88,460
P2505,106
Tec-93,866
Knife3,813

Lifetime map wins

14,565inferno
10,111dust2
8,307train
5,313nuke
2,490cbble
1,977vertigo
199lake
62office

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

Faceit stats

Combat

3,195Matches
51%Win rate
1.04Avg K/D
75.5ADR
46%Headshot %

Clutches & streaks

36%1v1 clutch win
23%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient10947%1.2215.2
Nuke8151%1.0015.3
Inferno7948%1.1716.3
Mirage7151%1.1217.0
Anubis6452%1.1315.4
Train5252%1.0714.9
Dust23853%0.9815.5
Overpass2759%1.0516.3

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.

23.6%Headshot accuracy
36.7%Accuracy (enemy spotted)
42.5%Spray accuracy
80.7%Counter-strafing
9.9°Preaim
603msReaction time
41.4%T opening success
57.6%CT opening success
0.52Enemies flashed / flash
3.2%Flash assists
12.82HE damage / grenade
4.80Flashes / match

Recommended for you

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
ancient7–13-0.0620%26 Aug
ancient9–13-0.0318%16 Aug
ancient13–10.1210%6 Jun
cache6–13-0.0715%28 May
overpass7–90.0221%9 May
overpass13–160.0017%7 May
warden13–100.0224%3 May
vertigo1–7-0.0429%3 May
nuke9–40.2411%1 May
inferno16–130.0418%7 Apr
mirage13–8-0.0128%6 Apr
anubis13–70.0226%5 Apr
mirage13–70.1223%5 Apr
nuke16–130.0824%2 Apr
ancient11–130.0627%2 Apr
dust27–130.0521%2 Apr
ancient13–7-0.0310%30 Mar
inferno7–9-0.0523%27 Mar
nuke13–90.0327%22 Mar
inferno6–13-0.0332%20 Mar
overpass13–40.1224%20 Mar
mirage13–80.0338%18 Mar
ancient13–100.1022%17 Mar
ancient13–80.0219%15 Mar
nuke10–13-0.0020%13 Mar
ancient13–80.0542%12 Mar
overpass2–130.0031%9 Mar
mirage7–13-0.0328%9 Mar
inferno13–50.0336%9 Mar
inferno6–13-0.0930%22 Feb
anubis6–13-0.0435%9 Feb
overpass16–13-0.0014%27 Jan
mirage9–13-0.0414%24 Jan
nuke13–90.0138%19 Jan
nuke9–130.0216%19 Jan
dust213–90.0519%19 Jan
overpass13–11-0.0118%17 Jan
overpass13–4-0.0415%17 Jan
nuke13–8-0.0046%17 Jan
ancient10–130.0315%17 Jan
overpass13–20.0623%17 Jan
inferno5–130.0425%5 Jan
ancient2–130.0220%11 Dec
overpass13–20.1431%2 Dec
nuke8–13-0.0221%2 Dec
nuke11–130.0225%19 Nov
overpass5–13-0.008%18 Nov
nuke13–7-0.0229%12 Nov
train13–80.0519%12 Nov
train8–13-0.0131%12 Nov
mirage13–40.0335%12 Nov
overpass13–2-0.0332%12 Nov
inferno5–13-0.0248%12 Nov
nuke10–130.0226%10 Nov
mirage8–13-0.0526%10 Nov
inferno13–100.0426%4 Nov
overpass13–60.0220%31 Oct
inferno5–13-0.0126%31 Oct
train6–13-0.0243%22 Oct
train13–100.0124%13 Oct
golden13–30.0529%8 Oct
overpass13–100.0127%10 Sept
overpass7–13-0.0122%21 Aug
nuke4–13-0.089%19 Aug
ancient14–160.0114%19 Aug
anubis13–8-0.0028%26 Jun
anubis13–60.0326%26 Jun
inferno3–130.000%1 Jun
mirage13–100.0328%29 May
train7–13-0.0624%28 May
anubis13–100.0116%27 May
train13–60.0718%22 May
inferno13–160.0121%20 May
nuke8–130.0410%18 May
inferno7–13-0.0311%18 May
nuke13–9-0.0114%18 May
train13–10-0.0212%18 May
ancient13–80.1132%16 May
train13–80.0228%15 May
mirage16–14-0.0124%15 May
brewery8–80.0242%15 May
train13–70.0417%15 May
brewery9–60.0428%15 May
nuke10–130.0017%15 May
ancient9–13-0.0125%15 May
inferno13–9-0.0316%12 May
nuke13–10-0.029%11 May
ancient10–13-0.0213%11 May
ancient7–130.0111%11 May
jura13–50.0426%8 May
grail13–110.1421%8 May
dust213–110.1127%7 May
mirage13–90.0123%2 May
dust212–12-0.0016%2 May
dust213–10-0.059%2 May
train13–30.0411%28 Apr
ancient19–150.0031%28 Apr
dust29–13-0.0410%23 Apr
ancient14–160.0217%23 Apr
anubis13–60.0316%21 Apr

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 →