Dragoslav

Dragoslav — CS2 Stats

BY76561199831145333[U:1:1870879605]Steam profile ↗✓ No bans

209Tracked matches3%Win rate2025Tracked since
CSDB Rating1.3 LearningPositional Player
WingmanSilver I
Ladder ranks via Leetify

Performance scores

Aim3
Positioning14
Utility0

0–100 skill scores via Leetify.

Recent form

COLD18–79–3Last 10018%Win rateLLLLLLLLLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +4.8pp headshot accuracy · +63ms 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 -0.08
  • Avg headshot accuracy 11%
  • Avg reaction 874ms

Last 10

  • 0–10 · 0% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 13%
  • Avg reaction 789ms

Last 20

  • 0–20 · 0% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 11%
  • Avg reaction 757ms

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).

Aim0.3
Utility0.0
Positioning1.4
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

m0NESY

Plays most like m0NESY 71% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 798ms 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

Aim0.3
Positioning1.4
Utility0.0
Mechanics5.9
Opening Duels0.0
Win Impact0.0

Composite 1.3/10 (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-0.08−0.05
first ⅓ avg -0.03 → last ⅓ avg -0.08
Reaction time800ms+332ms
first ⅓ avg 468ms → last ⅓ avg 800ms
Headshot accuracy14.2%−14.0%
first ⅓ avg 28.2% → last ⅓ avg 14.2%

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

0.22Best match rating · 9–4 · inferno, 3 Oct →
100%Best headshot accuracy · 7–9 · inferno, 7 Oct →
313msFastest reaction time · 9–1 · inferno, 3 Oct →
13–4Biggest win · mirage, 19 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L25Current streak
4–1In matches decided by ≤2 rounds
2Overtime games

Map breakdown

infernoBest map · 38% over 26dust2Weakest map · 0% over 14
MapGradePlayedRecordWin rateAvg rating
infernoC2610–1638%-0.04
mirageD173–1418%-0.06
dust2D140–140%-0.05
anubisD120–120%-0.08
nukeD103–730%-0.02
cacheD90–90%-0.06
ancientD50–50%-0.07
vertigo—31–233%-0.03
eldorado—21–150%-0.00
poseidon—10–10%-0.15
overpass—10–10%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 14). 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.

13.5%Headshot accuracy
15.1%Accuracy (enemy spotted)
19.7%Spray accuracy
76.5%Counter-strafing
15.6°Preaim
798msReaction time
11.2%T opening success
12.1%CT opening success
0.00Enemies flashed / flash
0.0%Flash assists
0.00HE damage / grenade
0.00Flashes / 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 15.5869° — 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 13.5264% — below the 15% mark we flag

    Aim Training →
  3. 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 797.9444ms — above the 700ms mark we flag

    Aim Training →
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.

0% win rate across 14 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
anubis0–13-0.0817%20 Oct →
anubis6–13-0.0617%20 Oct →
mirage0–13-0.070%19 Oct →
mirage0–13-0.0920%19 Oct →
nuke0–13-0.090%19 Oct →
nuke0–13-0.0533%19 Oct →
dust20–13-0.090%19 Oct →
inferno0–13-0.0820%19 Oct →
dust20–13-0.090%19 Oct →
anubis0–13-0.0727%19 Oct →
mirage0–13-0.090%19 Oct →
anubis0–13-0.0617%19 Oct →
cache0–13-0.0218%19 Oct →
dust20–13-0.080%19 Oct →
dust20–13-0.0817%19 Oct →
cache0–13-0.0622%19 Oct →
ancient0–13-0.1013%19 Oct →
nuke0–13-0.080%19 Oct →
nuke0–13-0.070%19 Oct →
nuke0–13-0.070%19 Oct →
mirage0–13-0.070%19 Oct →
mirage0–13-0.0720%19 Oct →
anubis0–13-0.0936%19 Oct →
ancient1–13-0.1022%19 Oct →
cache0–13-0.098%19 Oct →
mirage13–4-0.0833%19 Oct →
dust22–13-0.110%19 Oct →
cache2–13-0.1014%19 Oct →
mirage6–13-0.1022%19 Oct →
inferno3–13-0.1118%19 Oct →
mirage0–13-0.0467%19 Oct →
anubis0–13-0.078%19 Oct →
dust21–13-0.070%19 Oct →
cache1–13-0.0915%19 Oct →
anubis0–13-0.0614%18 Oct →
anubis0–13-0.119%18 Oct →
anubis0–13-0.060%18 Oct →
anubis3–13-0.1013%18 Oct →
mirage3–13-0.0614%18 Oct →
mirage9–13-0.0514%18 Oct →
mirage4–13-0.0323%18 Oct →
nuke13–70.1011%18 Oct →
inferno1–13-0.088%18 Oct →
cache6–13-0.1013%18 Oct →
mirage11–11-0.036%18 Oct →
dust23–13-0.017%18 Oct →
dust23–13-0.0410%18 Oct →
cache12–160.065%18 Oct →
ancient5–13-0.072%18 Oct →
dust25–130.0315%18 Oct →
mirage7–13-0.0111%18 Oct →
inferno4–13-0.0412%18 Oct →
anubis2–13-0.085%18 Oct →
ancient2–13-0.0410%18 Oct →
inferno0–13-0.0824%18 Oct →
mirage16–14-0.029%18 Oct →
ancient1–13-0.0412%18 Oct →
anubis2–13-0.109%18 Oct →
dust21–13-0.0810%18 Oct →
dust23–13-0.099%18 Oct →
dust21–13-0.063%18 Oct →
dust24–13-0.045%18 Oct →
mirage2–13-0.0311%18 Oct →
cache0–13-0.0967%18 Oct →
cache9–13-0.0810%18 Oct →
dust29–130.043%18 Oct →
mirage0–13-0.119%18 Oct →
vertigo7–00.0186%7 Oct →
inferno2–9-0.1775%7 Oct →
inferno1–9-0.1090%7 Oct →
inferno8–80.0489%7 Oct →
inferno7–9-0.07100%7 Oct →
mirage2–130.0275%7 Oct →
nuke9–7-0.0119%3 Oct →
inferno9–5-0.1113%3 Oct →
inferno9–5-0.1013%3 Oct →
inferno9–3-0.033%3 Oct →
nuke9–50.1521%3 Oct →
nuke3–9-0.047%3 Oct →
inferno9–70.0611%3 Oct →
inferno9–50.0615%3 Oct →
eldorado8–8-0.0111%3 Oct →
inferno9–40.2211%3 Oct →
inferno8–8-0.0314%3 Oct →
vertigo5–9-0.0928%3 Oct →
poseidon1–9-0.155%3 Oct →
inferno4–9-0.107%3 Oct →
eldorado9–50.0131%3 Oct →
vertigo6–9-0.0224%3 Oct →
inferno9–60.0818%3 Oct →
inferno3–9-0.0314%3 Oct →
inferno4–90.0017%3 Oct →
inferno9–1-0.0418%3 Oct →
inferno9–5-0.0112%3 Oct →
inferno5–9-0.1323%3 Oct →
nuke3–90.0221%3 Oct →
inferno4–9-0.0914%3 Oct →
inferno1–9-0.1823%3 Oct →
overpass6–9-0.029%3 Oct →
inferno9–3-0.0415%3 Oct →

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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