_stoney_

_stoney_ — CS2 Stats

DE76561198147085808[U:1:186820080]Steam profile ↗✓ No bans

346Tracked matches55%Win rate2025Tracked since
301Hours in CS
CSDB Rating3.2 LearningSupport
WingmanGold Nova II
Ladder ranks via Leetify

Performance scores

Aim23
Positioning31
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY53–39–8Last 10053%Win rateLWWLLWWLLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −4.9pp headshot accuracy · −100ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 651ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 13%
  • Avg reaction 670ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 720ms

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: Support — Utility contribution stands above the rest of this profile (+2.5 against its own average).

Aim2.3
Utility4.4
Positioning3.1
Opening Duels0.0
Clutch0.0

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

Twistzz

Plays most like Twistzz 66% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 703ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.3
Positioning3.1
Utility4.4
Mechanics3.8
Opening Duels0.1
Win Impact6.7

Composite 3.2/10 (Learning), 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-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time697ms−22ms
first ⅓ avg 719ms → last ⅓ avg 697ms
Headshot accuracy14.3%+1.3%
first ⅓ avg 13.0% → last ⅓ avg 14.3%

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

0.14Best match rating · 9–2 · inferno, 15 Jul →
44%Best headshot accuracy · 4–13 · mirage, 12 Jul →
492msFastest reaction time · 5–13 · ancient, 16 Aug →
13–1Biggest win · mirage, 16 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–3In matches decided by ≤2 rounds
2Overtime games

Map breakdown

infernoBest map · 67% over 18cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A2212–1055%-0.04
mirageB2210–1245%-0.03
infernoS1812–667%-0.02
ancientC135–838%-0.05
anubisA117–464%-0.03
cacheD51–420%-0.07
overpass—42–250%-0.05
nuke—11–0100%-0.03
boulder—10–10%-0.06
train—11–0100%-0.04
vertigo—11–0100%0.03
office—11–0100%0.00

Across the last 100 tracked matches.

Lifetime stats

16,786Lifetime kills
1.09K/D · Top 50% of tracked players
1,100Matches
42.6%Match win rate
28.4%Headshot %
11.5%Shot accuracy
1,888MVPs
301Hours (in match)
1,108Bombs planted
147Bombs defused

Most-used weapons

Lifetime map wins

1,721dust2
1,525inferno
176nuke
134train
103cbble
81vertigo
66office
65bank

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

Faceit stats

Combat

5Matches
40%Win rate
0.39Avg K/D
45.5ADR
19%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis1100%0.466.0
Inferno10%0.508.0
Nuke10%0.172.0
Dust21100%0.369.0
Mirage10%0.448.0

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.

14.8%Headshot accuracy
24.2%Accuracy (enemy spotted)
25.3%Spray accuracy
67.3%Counter-strafing
9.2°Preaim
703msReaction time
20.4%T opening success
30.8%CT opening success
0.63Enemies flashed / flash
6.1%Flash assists
8.37HE damage / grenade
2.76Flashes / 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 14.7662% — 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 702.9459ms — above the 700ms mark we flag

    Aim Training →
  3. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.7607 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.0514%16 Oct →
nuke13–6-0.0311%16 Oct →
inferno13–6-0.056%15 Oct →
ancient7–13-0.0519%12 Oct →
dust24–13-0.0924%19 Sept →
dust213–8-0.0411%19 Sept →
anubis13–6-0.068%19 Sept →
inferno7–13-0.089%12 Sept →
mirage7–13-0.0716%28 Aug →
dust216–14-0.098%25 Aug →
ancient12–12-0.0519%24 Aug →
boulder2–13-0.069%23 Aug →
dust216–120.0114%23 Aug →
mirage13–50.0728%23 Aug →
dust213–6-0.0321%23 Aug →
mirage10–13-0.0818%19 Aug →
inferno13–11-0.098%19 Aug →
anubis11–13-0.109%19 Aug →
ancient13–8-0.0638%19 Aug →
mirage1–13-0.109%19 Aug →
anubis13–3-0.069%19 Aug →
inferno13–11-0.0423%19 Aug →
mirage13–7-0.0211%19 Aug →
anubis3–13-0.057%18 Aug →
mirage13–80.0015%18 Aug →
inferno8–13-0.0321%17 Aug →
dust210–13-0.0313%17 Aug →
dust213–10-0.1110%16 Aug →
ancient5–13-0.1013%16 Aug →
anubis13–60.0318%16 Aug →
inferno13–70.0117%16 Aug →
dust26–13-0.0516%16 Aug →
mirage13–1-0.030%16 Aug →
anubis13–10-0.0211%1 Aug →
mirage9–13-0.1211%31 Jul →
dust212–12-0.0615%31 Jul →
mirage9–130.1111%30 Jul →
dust213–8-0.0113%30 Jul →
cache11–3-0.086%30 Jul →
overpass13–10.0614%30 Jul →
anubis5–30.030%30 Jul →
mirage13–6-0.0513%29 Jul →
dust212–12-0.0811%29 Jul →
anubis7–13-0.0210%29 Jul →
ancient13–8-0.0617%29 Jul →
cache5–13-0.047%29 Jul →
inferno13–80.0415%29 Jul →
mirage11–13-0.0220%28 Jul →
mirage6–00.1328%28 Jul →
dust213–11-0.0216%28 Jul →
inferno6–13-0.0012%28 Jul →
ancient13–10.0914%28 Jul →
anubis8–13-0.0425%28 Jul →
cache9–13-0.1316%28 Jul →
mirage13–11-0.0316%28 Jul →
dust28–13-0.0314%28 Jul →
overpass1–13-0.100%28 Jul →
anubis13–10-0.027%27 Jul →
ancient13–2-0.0326%27 Jul →
cache12–12-0.0318%27 Jul →
inferno13–7-0.0410%27 Jul →
dust213–60.0324%27 Jul →
mirage9–13-0.0915%27 Jul →
dust25–10-0.0240%26 Jul →
inferno13–70.0315%26 Jul →
mirage13–20.0216%26 Jul →
mirage13–80.0112%25 Jul →
inferno7–13-0.0616%24 Jul →
mirage13–8-0.0110%24 Jul →
mirage12–12-0.117%24 Jul →
train13–3-0.043%24 Jul →
ancient8–13-0.038%23 Jul →
inferno13–40.007%22 Jul →
anubis13–80.0112%22 Jul →
cache9–13-0.0617%22 Jul →
dust213–9-0.0212%22 Jul →
dust213–9-0.024%22 Jul →
ancient8–13-0.108%16 Jul →
dust29–13-0.0523%16 Jul →
ancient6–13-0.0818%16 Jul →
mirage2–13-0.1112%16 Jul →
dust213–2-0.0110%16 Jul →
inferno9–7-0.1610%15 Jul →
inferno8–8-0.012%15 Jul →
inferno9–20.1423%15 Jul →
mirage8–100.0414%15 Jul →
dust212–12-0.0310%14 Jul →
inferno13–7-0.0316%14 Jul →
ancient12–12-0.0418%14 Jul →
inferno9–30.108%14 Jul →
overpass13–11-0.0813%13 Jul →
vertigo13–70.0323%13 Jul →
dust213–3-0.0224%13 Jul →
office13–50.0011%13 Jul →
ancient2–13-0.140%12 Jul →
mirage4–13-0.0844%12 Jul →
dust23–13-0.1010%12 Jul →
mirage2–13-0.095%5 Jul →
overpass2–9-0.0813%5 Jul →
ancient13–40.0220%5 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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