Nevyprávaj na mňa — CS2 Stats

76561198335059108[U:1:374793380]

1,603Tracked matches59%Win rate2020Tracked since
2,554Hours in CS45Hrs last 2 wks
CSDB Rating4.3 Developing
Premier CS Rating14,521Blue band · top ~30.9% of ranked players (population est.)
CSDB Leaderboard#14897 of 22852 tracked
WingmanGold Nova I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate33.0%41.7%44.1%11.1% short
Shot accuracy18.2%8.8%11.4%above
Kill/death ratio0.940.971.030.09 short
Match win rate46.0%43.8%45.2%meets

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGNevyprávaj na mňaPREMIER14,521 · Blue bandcsdb.gg/stats

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Performance scores

Aim54
Positioning47
Utility27

0–100 skill scores via Leetify.

Recent form

STEADY51481Last 10051%Win rateWLWLWWLLLL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Aim5.4
Aggression3.7
Utility2.7
Positioning4.7
Opening Duels0.4

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 77% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

T-side openings. Opening success drops from 43% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 581ms 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

Aim5.4
Positioning4.7
Utility2.7
Mechanics3.8
Opening Duels1.6
Win Impact7.9

Composite 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time580ms−60ms
first ⅓ avg 640ms → last ⅓ avg 580ms
Headshot accuracy11.5%−0.9%
first ⅓ avg 12.4% → last ⅓ avg 11.5%

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

0.30Best rating — inferno 9–2
130Biggest win — inferno
9Longest win streak
108In matches decided by ≤2 rounds
12Overtime games

Map breakdown

ancientBest map · 64% over 11nukeWeakest map · 40% over 20
MapGradePlayedRecordWin rateAvg rating
infernoB31141745%-0.01
nukeC2081240%-0.00
cacheA1610663%-0.01
ancientA117464%0.00
anubisA85363%-0.02
dust2C73443%-0.00
mirageA74357%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 20). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

64,324Lifetime kills
0.94K/D
3,833Matches
46.0%Match win rate · Top 50% of Blue band
33.0%Headshot %
18.2%Shot accuracy · Top 5% of Blue band
8,258MVPs
1,394Hours (in match)
5,590Bombs planted
1,131Bombs defused

Most-used weapons

AK-4717,402
AWP4,118
FAMAS3,525
MAC-101,943
MP91,723

Lifetime map wins

10,475inferno
5,025nuke
2,185dust2
1,985vertigo
708train
296office
237lake
205cbble

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.

11.4%Headshot accuracy
39.2%Accuracy (enemy spotted)
40.3%Spray accuracy
67.2%Counter-strafing
12.1°Preaim
581msReaction time
20.4%T opening success
42.8%CT opening success
0.35Enemies flashed / flash
2.7%Flash assists
6.69HE damage / grenade
0.98Flashes / 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 12.0933° — 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 11.3508% — below the 15% mark we flag

    Aim Training
  3. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3504 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Nuke

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 20 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–30.0921%28 Aug
inferno4–13-0.039%28 Aug
inferno13–80.0223%28 Aug
inferno10–13-0.0412%28 Aug
cache13–10-0.0013%28 Aug
cache13–2-0.0321%28 Aug
nuke10–13-0.037%28 Aug
inferno11–13-0.076%28 Aug
inferno9–13-0.026%28 Aug
inferno9–13-0.017%28 Aug
nuke13–20.0712%28 Aug
anubis12–16-0.0810%26 Aug
inferno0–13-0.054%26 Aug
cache13–90.0111%26 Aug
nuke16–13-0.0118%26 Aug
ancient8–13-0.0118%26 Aug
nuke13–60.0011%26 Aug
inferno11–40.0311%25 Aug
cache13–110.0314%25 Aug
nuke5–100.0115%25 Aug
nuke13–110.019%25 Aug
ancient13–8-0.0413%25 Aug
dust213–5-0.0112%24 Aug
nuke6–13-0.0211%24 Aug
anubis13–10.0910%24 Aug
mirage13–70.059%24 Aug
cache7–13-0.0211%24 Aug
ancient13–10.1310%24 Aug
anubis13–90.019%22 Aug
inferno15–15-0.034%22 Aug
inferno13–100.0214%22 Aug
dust214–16-0.0111%22 Aug
nuke11–130.078%22 Aug
ancient13–100.0717%22 Aug
ancient3–50.0019%22 Aug
dust27–13-0.048%22 Aug
inferno13–00.0814%22 Aug
nuke13–20.028%22 Aug
mirage11–13-0.0213%22 Aug
inferno8–13-0.0810%21 Aug
anubis9–13-0.0118%21 Aug
ancient7–13-0.0524%21 Aug
nuke6–130.0111%21 Aug
mirage13–11-0.0213%21 Aug
inferno6–13-0.044%21 Aug
anubis7–13-0.0310%21 Aug
nuke4–13-0.0611%21 Aug
ancient11–13-0.0217%21 Aug
cache9–13-0.078%16 Aug
inferno13–8-0.0513%16 Aug
nuke10–130.059%16 Aug
mirage11–13-0.025%16 Aug
cache16–14-0.048%15 Aug
inferno1–13-0.0613%15 Aug
nuke1–11-0.0519%15 Aug
inferno13–11-0.0215%15 Aug
inferno16–14-0.0022%15 Aug
inferno7–4-0.080%15 Aug
inferno13–16-0.055%15 Aug
inferno6–13-0.0316%9 Aug
cache14–16-0.0112%9 Aug
nuke13–90.013%8 Aug
dust213–7-0.009%8 Aug
mirage1–13-0.0716%8 Aug
cache8–13-0.0113%8 Aug
cache3–13-0.0116%8 Aug
inferno4–13-0.067%8 Aug
cache13–80.0611%7 Aug
dust211–13-0.0513%7 Aug
inferno4–13-0.0317%7 Aug
cache13–3-0.045%7 Aug
nuke6–13-0.0312%7 Aug
nuke8–130.0018%2 Aug
inferno5–13-0.069%2 Aug
cache5–13-0.0510%2 Aug
nuke10–130.008%2 Aug
inferno9–20.3033%2 Aug
mirage13–100.0010%2 Aug
cache13–10-0.057%2 Aug
mirage13–6-0.0217%30 Jul
nuke13–6-0.0319%29 Jul
inferno8–13-0.0119%29 Jul
ancient16–13-0.0212%27 Jul
inferno5–13-0.0917%27 Jul
nuke9–13-0.0413%27 Jul
dust24–13-0.0116%27 Jul
inferno13–80.0511%26 Jul
anubis13–8-0.094%26 Jul
nuke13–5-0.0613%26 Jul
cache9–4-0.0410%26 Jul
anubis13–7-0.009%26 Jul
inferno13–1-0.017%26 Jul
ancient16–130.0414%26 Jul
anubis13–9-0.0213%26 Jul
cache13–80.0714%25 Jul
ancient5–13-0.019%25 Jul
inferno13–11-0.048%24 Jul
inferno16–12-0.0313%24 Jul
inferno16–140.0317%24 Jul
ancient13–11-0.052%24 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →