Ston1e °.°

Ston1e °.° — CS2 Stats

DE76561198017318631[U:1:57052903]Steam profile ↗

3,251Tracked matches54%Win rate2020Tracked since
CSDB Rating4.8 DevelopingPassive Rifler
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

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CSDB.GGSton1e °.°FACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim60
Positioning33
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY48475Last 10048%Win rateTWWWLLLWWL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.0
Aggression3.3
Utility5.2
Positioning3.3
Opening Duels0.0
Clutch3.2

Strong CT-side opener

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 79% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 37% on CT to 21% 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

Aim6.0
Positioning3.3
Utility5.2
Mechanics5.5
Opening Duels0.9
Win Impact6.3

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time654ms−32ms
first ⅓ avg 686ms → last ⅓ avg 654ms
Headshot accuracy19.5%+3.0%
first ⅓ avg 16.5% → last ⅓ avg 19.5%

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.

Highlights

0.16Best rating — vertigo 9–5
131Biggest win — inferno
7Longest win streak
87In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 83% over 6infernoWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
infernoD134931%-0.03
cacheC125742%-0.00
ancientS128467%0.01
nukeB126650%-0.02
dust2C114736%-0.01
overpassD62433%0.04
mirageS65183%0.01
vertigoD62433%-0.04
anubis41325%-0.02
poseidon31233%-0.01
office32167%0.00
fachwerk21150%0.01
shelter220100%0.01
italy21150%0.06
train220100%-0.03
stronghold110100%-0.02
alpine1010%-0.00
warden110100%0.09
sanctum1010%0.05

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.

Faceit stats

Combat

2,379Matches
50%Win rate
1.06Avg K/D
66.4ADR
34%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno4452%0.9513.3
Anubis3850%0.8813.7
Ancient3043%0.8112.7
Dust21060%0.8513.4
Nuke956%1.0214.3
Train944%0.8612.9
Vertigo956%0.6311.2
Mirage786%1.2115.7

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.

18.7%Headshot accuracy
34.8%Accuracy (enemy spotted)
39.8%Spray accuracy
74.6%Counter-strafing
10.4°Preaim
667msReaction time
20.9%T opening success
37.1%CT opening success
0.44Enemies flashed / flash
6.2%Flash assists
12.50HE damage / grenade
9.15Flashes / 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 0.4434 — below the 0.5 mark we flag

    Grenade Lineups
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 20.9074% — 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
anubis12–120.0318%29 Aug
cache13–50.1110%29 Aug
inferno9–4-0.0416%29 Aug
poseidon9–6-0.0314%29 Aug
overpass1–90.0357%29 Aug
cache2–13-0.0613%23 Aug
anubis6–13-0.1125%23 Aug
fachwerk13–100.0322%23 Aug
ancient13–9-0.0118%23 Aug
cache10–13-0.0117%23 Aug
nuke9–70.1013%23 Aug
inferno1–9-0.1915%23 Aug
cache10–13-0.0817%16 Aug
mirage13–7-0.0010%16 Aug
shelter13–90.0631%16 Aug
nuke12–120.0111%16 Aug
dust213–3-0.0419%16 Aug
anubis11–13-0.0019%16 Aug
vertigo9–50.1624%16 Aug
dust28–13-0.0317%15 Aug
shelter13–3-0.0413%15 Aug
fachwerk12–12-0.0122%15 Aug
anubis13–80.0218%9 Aug
dust24–13-0.0119%9 Aug
nuke15–150.0231%9 Aug
dust29–13-0.0619%8 Aug
inferno2–13-0.1225%8 Aug
ancient13–80.0012%8 Aug
mirage16–14-0.0219%8 Aug
cache13–4-0.0422%8 Aug
dust213–160.0511%12 Jul
cache16–13-0.0422%12 Jul
inferno6–130.0324%12 Jul
inferno13–8-0.0610%12 Jul
ancient1–13-0.0820%12 Jul
dust213–9-0.0723%12 Jul
dust213–16-0.0315%5 Jul
mirage13–90.0118%5 Jul
inferno5–13-0.0725%30 Jun
dust23–130.0629%21 Jun
nuke13–110.0410%21 Jun
dust213–10-0.0115%21 Jun
ancient13–3-0.0215%21 Jun
ancient13–110.0019%21 Jun
nuke13–8-0.0319%4 Jun
ancient13–70.0325%4 Jun
vertigo13–7-0.0223%4 Jun
vertigo7–13-0.0817%4 Jun
inferno2–13-0.0650%15 May
stronghold2–2-0.0222%15 May
overpass13–40.1227%15 May
ancient13–90.0313%15 May
ancient6–130.0416%15 May
italy13–20.0318%15 May
overpass2–13-0.0616%15 May
italy11–130.0919%15 May
inferno6–50.0211%15 May
vertigo12–120.0013%15 May
office9–130.0713%14 May
office13–50.0110%14 May
cache8–13-0.0235%10 May
inferno4–130.059%9 May
alpine9–13-0.008%9 May
cache13–50.0618%1 May
cache11–13-0.0428%1 May
cache13–40.0714%1 May
cache7–130.0130%1 May
cache5–13-0.0112%1 May
warden13–110.099%1 May
nuke13–9-0.0313%1 May
office13–11-0.0717%26 Apr
dust29–3-0.0221%26 Apr
sanctum2–80.0514%26 Apr
poseidon5–9-0.0133%26 Apr
poseidon7–90.0119%26 Apr
nuke3–9-0.044%26 Apr
nuke1–9-0.330%26 Apr
vertigo1–9-0.2243%26 Apr
vertigo1–9-0.067%26 Apr
inferno11–13-0.0122%26 Apr
dust28–13-0.0114%26 Apr
mirage13–40.0411%26 Apr
train13–8-0.0524%26 Apr
train13–9-0.017%25 Apr
mirage13–80.0315%19 Apr
nuke16–140.0317%19 Apr
ancient13–30.0322%19 Apr
nuke1–9-0.1127%19 Apr
inferno9–30.1610%19 Apr
inferno5–13-0.0529%19 Apr
overpass8–130.0710%14 Apr
overpass13–60.1016%14 Apr
nuke13–50.0717%14 Apr
mirage10–130.0123%14 Apr
ancient11–130.0316%14 Apr
ancient13–40.0616%14 Apr
overpass3–13-0.0520%14 Apr
inferno13–10.0115%14 Apr
nuke13–16-0.015%12 Apr
ancient4–13-0.0015%12 Apr

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 →