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Donetsk Zovetsky — CS2 Stats

76561199016848668[U:1:1056582940]

116Tracked matches44%Win rate2026Tracked since
CSDB Rating1.7 Learning
Ladder ranks via Leetify

Performance scores

Aim3
Positioning36
Utility16

0–100 skill scores via Leetify.

Recent form

STEADY50–44–6Last 10050%Win rateLWWWLLLWWT

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

Player DNA

Aim0.3
Aggression0.0
Utility1.6
Positioning3.6
Opening Duels0.0

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 50% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower 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

Reaction time. 768ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 59% 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

Aim0.3
Positioning3.6
Utility1.6
Mechanics2.1
Opening Duels0.0
Win Impact3.1

Composite 1.7/10 (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-0.04+0.00
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time754ms−106ms
first ⅓ avg 861ms → last ⅓ avg 754ms
Headshot accuracy9.0%−1.8%
first ⅓ avg 10.9% → last ⅓ avg 9.0%

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

0.09Best rating — inferno 9–2
13–2Biggest win — inferno
9Longest win streak
5–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

vertigoBest map · 80% over 5dust2Weakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
nukeC198–1142%-0.06
officeB199–1047%-0.02
dust2C156–940%-0.04
infernoS1310–377%-0.01
mirageA138–562%-0.04
vertigoS54–180%-0.04
cache—40–40%-0.05
ancient—41–325%-0.04
italy—33–0100%-0.06
train—21–150%-0.10
anubis—20–20%-0.08
overpass—10–10%-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 15). 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.

8.5%Headshot accuracy
20.6%Accuracy (enemy spotted)
22.1%Spray accuracy
59.2%Counter-strafing
13.3°Preaim
768msReaction time
11.6%T opening success
20.5%CT opening success
0.28Enemies flashed / flash
2.5%Flash assists
9.29HE damage / grenade
1.44Flashes / 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 13.3321° — 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 8.5017% — 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 768.0957ms — 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.

40% win rate across 15 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
cache2–13-0.096%30 Aug →
nuke13–10-0.039%28 Aug →
italy13–4-0.0111%28 Aug →
office13–11-0.0110%28 Aug →
train9–13-0.119%22 Aug →
ancient10–130.0710%16 Aug →
nuke11–13-0.088%15 Aug →
inferno8–00.010%15 Aug →
office13–9-0.068%15 Aug →
dust212–12-0.066%14 Aug →
dust213–11-0.059%14 Aug →
inferno13–9-0.057%11 Aug →
dust212–4-0.0812%11 Aug →
nuke12–12-0.0013%11 Aug →
dust22–20.0317%11 Aug →
dust21–13-0.1013%8 Aug →
nuke15–15-0.1113%8 Aug →
mirage13–110.0010%4 Aug →
anubis0–11-0.080%2 Aug →
nuke13–10-0.0410%2 Aug →
cache5–130.000%2 Aug →
ancient5–13-0.060%29 Jul →
nuke13–5-0.046%29 Jul →
mirage3–13-0.0917%29 Jul →
cache2–13-0.0338%28 Jul →
dust22–13-0.065%28 Jul →
nuke6–13-0.075%23 Jul →
dust22–13-0.054%22 Jul →
inferno13–9-0.022%22 Jul →
nuke9–13-0.084%21 Jul →
dust211–13-0.0013%21 Jul →
mirage3–13-0.1113%21 Jul →
ancient13–5-0.0112%21 Jul →
dust213–6-0.063%19 Jul →
office10–13-0.0711%19 Jul →
inferno13–8-0.0410%19 Jul →
italy13–7-0.1113%19 Jul →
inferno9–20.094%18 Jul →
inferno9–6-0.063%18 Jul →
office6–13-0.099%17 Jul →
nuke13–90.0110%17 Jul →
office13–7-0.0110%16 Jul →
office12–12-0.016%15 Jul →
office2–13-0.0610%15 Jul →
mirage13–4-0.024%15 Jul →
office13–40.0323%15 Jul →
dust29–13-0.0221%15 Jul →
inferno13–8-0.057%15 Jul →
mirage11–13-0.0413%13 Jul →
inferno7–13-0.056%10 Jul →
nuke4–13-0.042%10 Jul →
dust213–11-0.0112%10 Jul →
office13–9-0.073%9 Jul →
office13–3-0.017%9 Jul →
overpass6–13-0.074%6 Jul →
office13–40.045%6 Jul →
inferno13–20.074%6 Jul →
office9–13-0.079%6 Jul →
dust213–30.0412%6 Jul →
vertigo9–13-0.0111%6 Jul →
cache8–13-0.099%6 Jul →
mirage12–12-0.0512%6 Jul →
nuke13–7-0.0511%5 Jul →
dust210–13-0.0914%5 Jul →
office10–130.0214%5 Jul →
office13–8-0.0115%5 Jul →
train13–10-0.0911%4 Jul →
nuke13–5-0.036%2 Jul →
inferno13–9-0.0728%2 Jul →
italy13–6-0.0727%2 Jul →
mirage13–7-0.033%2 Jul →
nuke13–8-0.047%27 Jun →
inferno13–70.015%24 Jun →
vertigo13–8-0.096%17 Jun →
nuke7–13-0.0515%14 Jun →
vertigo13–3-0.0011%7 Jun →
nuke3–13-0.1211%2 Jun →
office6–13-0.0322%24 May →
office9–130.009%23 May →
mirage13–11-0.059%14 May →
office13–50.0110%13 May →
nuke2–13-0.120%23 Apr →
mirage5–13-0.078%22 Apr →
dust211–13-0.0313%19 Apr →
nuke4–13-0.069%19 Apr →
vertigo13–6-0.0823%13 Apr →
nuke4–12-0.0725%12 Apr →
mirage13–9-0.0418%12 Apr →
office8–130.0115%11 Apr →
anubis12–12-0.070%7 Apr →
inferno11–13-0.039%25 Mar →
vertigo13–9-0.0114%25 Mar →
nuke13–10-0.125%22 Mar →
office4–13-0.099%22 Mar →
inferno7–13-0.014%21 Mar →
mirage13–3-0.0617%15 Mar →
mirage13–3-0.024%14 Mar →
ancient1–13-0.140%12 Mar →
dust213–6-0.048%10 Mar →
mirage13–40.0410%10 Mar →

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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