Androv Tatovanovsky — CS2 Stats

76561198150312702[U:1:190046974]

277Tracked matches59%Win rate2020Tracked since
993Hours in CS
CSDB Rating4.0 Developing
WingmanSilver Elite Master
Ladder ranks via Leetify

Performance scores

Aim36
Positioning25
Utility37

0–100 skill scores via Leetify.

Recent form

HOT46522Last 10046%Win rateLWWLWLWWWW

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

Aim3.6
Aggression1.0
Utility3.7
Positioning2.5
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 65% playstyle similarity

Most alike: opening-duel success, utility contribution.

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. 615ms 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

Aim3.6
Positioning2.5
Utility3.7
Mechanics6.9
Opening Duels0.0
Win Impact7.9

Composite 4.0/10 (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-0.04−0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time622ms−2ms
first ⅓ avg 624ms → last ⅓ avg 622ms
Headshot accuracy10.8%−0.2%
first ⅓ avg 11.0% → last ⅓ avg 10.8%

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.

Highlights

0.12Best rating — nuke 7–0
131Biggest win — nuke
4Longest win streak
88In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 64% over 11dust2Weakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB179853%-0.03
infernoC1761135%-0.04
dust2D124833%-0.04
ancientC114736%-0.03
anubisA117464%-0.03
nukeB115645%-0.03
vertigoA106460%-0.02
overpassB84450%-0.03
train2020%-0.04
office110100%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

67,017Lifetime kills
1.10K/D · Top 50% of tracked players
3,510Matches
35.0%Match win rate
35.4%Headshot %
19.8%Shot accuracy · Top 5% of tracked players
4,934MVPs
993Hours (in match)
2,010Bombs planted
411Bombs defused

Most-used weapons

AK-4719,470
AWP5,789
P901,795
AUG1,550
Negev1,355

Lifetime map wins

4,094dust2
3,081inferno
458office
434vertigo
371train
337nuke
301cbble
297italy

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

Skill profile

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

10.7%Headshot accuracy
27.1%Accuracy (enemy spotted)
32.3%Spray accuracy
80.9%Counter-strafing
11.8°Preaim
615msReaction time
11.0%T opening success
26.0%CT opening success
0.58Enemies flashed / flash
1.4%Flash assists
4.30HE damage / grenade
9.36Flashes / 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 10.6506% — below the 15% mark we flag

    Aim Training
  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 11.046% — below the 40% mark we flag

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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
overpass10–13-0.0610%26 Jun
mirage13–80.0010%16 Mar
inferno13–8-0.0210%12 Mar
mirage7–13-0.0613%22 Feb
office13–9-0.059%22 Feb
ancient4–13-0.085%21 Feb
mirage13–11-0.047%21 Feb
inferno13–6-0.028%13 Feb
overpass13–40.057%12 Feb
vertigo13–7-0.022%11 Feb
inferno9–13-0.0713%11 Feb
mirage13–2-0.016%4 Feb
anubis13–4-0.029%4 Feb
ancient13–50.058%4 Feb
nuke13–9-0.0510%29 Jan
vertigo3–13-0.0514%29 Jan
ancient13–8-0.064%14 Jan
mirage7–00.0415%14 Jan
nuke6–13-0.0711%7 Jan
mirage10–13-0.0214%20 Nov
nuke0–13-0.0910%20 Nov
dust24–13-0.0816%20 Nov
vertigo13–8-0.0311%3 Aug
inferno13–7-0.049%2 Aug
ancient10–13-0.0919%22 Jul
mirage12–12-0.077%22 Jul
overpass13–10-0.0115%18 Jul
dust214–16-0.067%18 Jul
overpass13–8-0.0719%17 Jul
inferno7–13-0.0722%17 Jul
nuke13–9-0.0212%13 Jun
anubis13–9-0.0514%13 Jun
inferno6–130.0410%7 Jun
anubis9–20.0112%7 Jun
dust27–13-0.049%7 Jun
mirage13–5-0.0311%7 Jun
dust216–14-0.059%6 Jun
inferno6–13-0.0012%6 Jun
train9–13-0.0311%1 Jun
ancient9–13-0.0122%1 Jun
mirage11–13-0.0118%18 May
mirage13–7-0.0818%4 May
dust213–7-0.0213%1 May
train4–13-0.0419%30 Apr
nuke8–13-0.049%29 Apr
mirage13–30.0123%19 Apr
inferno13–16-0.0014%19 Apr
ancient4–5-0.0312%18 Apr
nuke7–00.129%18 Apr
inferno12–80.0111%16 Apr
nuke13–10.0211%15 Apr
nuke11–13-0.039%15 Apr
dust29–13-0.058%1 Apr
ancient10–13-0.0311%23 Mar
dust214–16-0.074%19 Dec
nuke2–13-0.0811%6 Oct
dust25–13-0.059%6 Oct
anubis8–13-0.0416%6 Oct
ancient10–13-0.026%5 Oct
anubis13–110.0510%5 Oct
anubis13–10-0.056%25 Sept
mirage13–80.066%25 Sept
mirage2–13-0.120%21 Sept
inferno5–13-0.0322%1 Sept
nuke4–13-0.1015%14 Jul
vertigo12–12-0.0611%14 Jul
inferno13–4-0.0219%10 Jul
mirage7–13-0.068%10 Jul
vertigo10–60.0417%3 Jul
inferno2–13-0.134%3 Jul
mirage5–13-0.0712%30 Jun
dust213–40.0111%30 Jun
anubis5–13-0.1012%30 Jun
anubis4–13-0.076%30 Jun
dust213–11-0.0116%29 Jun
dust27–13-0.0616%16 Jun
anubis13–90.015%16 Jun
dust214–160.015%15 Jun
vertigo9–13-0.099%15 Jun
nuke13–10-0.036%14 Apr
vertigo13–60.0213%31 Mar
inferno5–4-0.0111%31 Mar
mirage10–13-0.0413%29 Mar
vertigo9–3-0.010%29 Mar
vertigo3–13-0.0512%17 Mar
inferno8–13-0.055%10 Mar
vertigo13–70.0318%10 Mar
inferno13–11-0.0816%3 Mar
ancient11–13-0.0317%3 Mar
overpass13–16-0.0311%13 Feb
ancient5–13-0.045%2 Jan
overpass8–13-0.0621%2 Jan
inferno5–13-0.0711%16 Dec
ancient16–14-0.0215%30 Nov
overpass6–13-0.0115%30 Nov
mirage13–11-0.037%25 Nov
anubis13–6-0.0715%25 Nov
anubis6–13-0.0319%25 Nov
inferno14–16-0.075%17 Nov
overpass16–13-0.028%17 Nov

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 →