D3r Stoni

D3r Stoni — CS2 Stats

76561199034151740[U:1:1073886012]Steam profile ↗✓ No bans

135Tracked matches38%Win rate2021Tracked since
CSDB Rating2.0 LearningPositional Player
FaceitLevel 1Top 100.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGD3r StoniFACEITLevel 1STANDINGTop 100.0% of rankedcsdb.gg/stats

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Performance scores

Aim19
Positioning22
Utility17

0–100 skill scores via Leetify.

Recent form

COLD33–57–10Last 10033%Win rateLLLLLLWWLW

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · −2.7pp headshot accuracy · +0ms 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

  • 0–5 · 0% win rate
  • Avg rating -0.19
  • Avg headshot accuracy 14%
  • Avg reaction 525ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.12
  • Avg headshot accuracy 12%
  • Avg reaction 608ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.10
  • Avg headshot accuracy 13%
  • Avg reaction 608ms

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: Positional Player — Positioning stands above the rest of this profile (+0.9 against its own average).

Aim1.9
Utility1.7
Positioning2.2
Opening Duels0.0

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

jL

Plays most like jL 80% 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. 630ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim1.9
Positioning2.2
Utility1.7
Mechanics3.9
Opening Duels0.0
Win Impact1.0

Composite 2.0/10 (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-0.09−0.02
first ⅓ avg -0.06 → last ⅓ avg -0.09
Reaction time606ms−24ms
first ⅓ avg 630ms → last ⅓ avg 606ms
Headshot accuracy11.8%+1.9%
first ⅓ avg 9.9% → last ⅓ avg 11.8%

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.

Personal bests

0.07Best match rating · 13–5 · mirage, 8 Sept →
30%Best headshot accuracy · 1–9 · inferno, 25 May →
250msFastest reaction time · 2–9 · nuke, 7 Feb →
15–1Biggest win · inferno, 5 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L6Current streak
3–9In matches decided by ≤2 rounds
41Overtime games

Map breakdown

vertigoBest map · 60% over 5dust2Weakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
infernoC3816–2242%-0.07
mirageD258–1732%-0.04
dust2D91–811%-0.06
ancientD62–433%-0.05
anubisD61–517%-0.08
overpassD51–420%-0.09
vertigoA53–260%-0.06
nuke—30–30%-0.14
italy—10–10%-0.09
office—11–0100%-0.06
palais—10–10%-0.16

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.0%Headshot accuracy
28.1%Accuracy (enemy spotted)
24.9%Spray accuracy
67.7%Counter-strafing
13.7°Preaim
630msReaction time
12.8%T opening success
17.6%CT opening success
0.60Enemies flashed / flash
1.2%Flash assists
9.02HE damage / grenade
3.17Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.676° — above the 12° mark we flag

    Aim Training →
  2. 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 12.0122% — below the 15% 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 3.1653 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–13-0.1010%31 Aug →
inferno1–9-0.2030%25 May →
inferno4–9-0.350%24 May →
inferno0–9-0.2519%24 May →
mirage5–13-0.059%4 Apr →
inferno9–13-0.0912%3 Apr →
ancient16–13-0.028%3 Apr →
mirage13–10.062%4 Jan →
italy10–13-0.098%16 Mar →
office13–0-0.0620%16 Mar →
mirage4–13-0.066%16 Mar →
mirage13–9-0.0419%28 Feb →
mirage3–13-0.0921%28 Feb →
dust27–13-0.0623%16 Feb →
inferno9–13-0.0313%8 Feb →
ancient13–50.0111%7 Feb →
inferno11–13-0.0717%7 Feb →
inferno13–8-0.086%7 Feb →
palais8–8-0.1616%7 Feb →
nuke2–9-0.2513%7 Feb →
inferno10–13-0.0514%23 Jan →
mirage9–13-0.037%7 Jan →
anubis11–13-0.036%28 Jul →
inferno9–13-0.0813%28 Jul →
ancient8–13-0.086%28 Jul →
mirage4–0-0.000%28 Jul →
inferno8–8-0.196%28 Jul →
mirage6–13-0.0611%21 May →
overpass4–13-0.128%26 Sept →
inferno2–13-0.1110%26 Sept →
vertigo13–6-0.075%11 Sept →
mirage15–15-0.0326%10 Sept →
mirage13–11-0.0314%9 Sept →
nuke7–13-0.0815%8 Sept →
inferno13–10.0410%8 Sept →
mirage13–50.0713%8 Sept →
inferno11–13-0.097%7 Sept →
vertigo13–8-0.049%7 Sept →
mirage13–16-0.0214%7 Sept →
mirage6–13-0.098%7 Sept →
ancient15–15-0.1310%7 Sept →
overpass2–13-0.0711%7 Sept →
anubis13–16-0.099%5 Sept →
inferno13–60.017%4 Sept →
inferno13–8-0.0211%4 Sept →
inferno13–8-0.0511%3 Sept →
mirage5–13-0.145%3 Sept →
inferno13–9-0.032%3 Sept →
vertigo3–13-0.1412%3 Sept →
ancient15–15-0.0614%3 Sept →
dust28–8-0.026%17 Jun →
inferno16–10-0.058%16 Jun →
inferno16–10-0.040%16 Jun →
inferno16–90.016%14 May →
mirage16–6-0.0318%14 May →
anubis14–16-0.079%7 May →
inferno14–16-0.084%7 May →
inferno16–4-0.029%7 May →
ancient14–16-0.048%6 May →
mirage9–5-0.046%3 May →
inferno12–16-0.076%2 May →
mirage13–16-0.066%2 May →
inferno13–16-0.055%1 May →
inferno16–12-0.0410%1 May →
anubis5–9-0.065%1 May →
dust28–8-0.0712%1 May →
mirage17–190.0110%1 May →
inferno20–22-0.0813%30 Apr →
mirage11–16-0.049%30 Apr →
mirage7–16-0.0511%30 Apr →
dust211–16-0.112%30 Apr →
vertigo16–8-0.016%30 Apr →
dust211–16-0.0412%26 Apr →
inferno16–12-0.0511%23 Apr →
mirage17–19-0.0211%22 Apr →
dust29–16-0.0911%22 Apr →
overpass3–16-0.157%17 Apr →
dust216–13-0.0224%17 Apr →
inferno5–9-0.0615%9 Apr →
anubis8–8-0.137%9 Apr →
inferno11–16-0.085%5 Apr →
mirage6–9-0.035%5 Apr →
inferno0–9-0.120%2 Apr →
overpass16–11-0.074%25 Mar →
mirage9–5-0.0416%14 Dec →
inferno9–1-0.0415%16 Nov →
mirage2–9-0.0918%15 Nov →
nuke5–9-0.106%12 Nov →
dust215–15-0.0011%12 Nov →
inferno4–16-0.049%4 Nov →
vertigo1–16-0.0714%4 Nov →
overpass11–16-0.056%4 Nov →
dust24–16-0.099%26 Oct →
mirage4–9-0.048%17 Oct →
inferno16–14-0.0213%30 Sept →
inferno8–80.0413%29 Sept →
anubis9–5-0.114%26 Aug →
inferno3–16-0.119%2 Jul →
inferno16–14-0.0712%16 Jun →
inferno15–1-0.0811%5 Jun →

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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