DaNsky- — CS2 Stats

76561198050027489[U:1:89761761]

1,034Tracked matches55%Win rate2020Tracked since
CSDB Rating5.2 Developing
Premier CS Rating21,965Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.3% of ranked players (population est.)
CSDB Leaderboard#7890 of 25939 tracked
FaceitLevel 9 · 1,146 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGDaNsky-FACEITLevel 9 · 1,146 ELOSTANDINGTop 20.7% of rankedPREMIER21,965 · Pink bandcsdb.gg/stats

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Performance scores

Aim57
Positioning44
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY42544Last 10042%Win rateLWTLWWWLWW

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating

Player DNA

Aim5.7
Aggression4.6
Utility3.3
Positioning4.4
Opening Duels1.7
Clutch4.4

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 82% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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 46% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim5.7
Positioning4.4
Utility3.3
Mechanics7.4
Opening Duels2.0
Win Impact6.7

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time614ms+14ms
first ⅓ avg 600ms → last ⅓ avg 614ms
Headshot accuracy28.3%+2.8%
first ⅓ avg 25.5% → last ⅓ avg 28.3%

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

0.07Best rating — mirage 9–13
132Biggest win — cache
4Longest win streak
99In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 60% over 15nukeWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
cacheB28131546%-0.02
mirageC2181338%-0.02
dust2D1861233%-0.05
infernoA159660%-0.02
nukeD72529%-0.04
ancientD62433%-0.04
overpass32167%-0.01
anubis2020%-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,744Matches
57%Win rate
1.05Avg K/D
74.5ADR
56%Headshot %

Clutches & streaks

42%1v1 clutch win
21%1v2 clutch win
19Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage6368%1.0514.5
Dust24764%0.9113.4
Inferno2365%0.8713.2
Ancient2255%1.0314.5
Overpass1644%0.8614.3
Nuke1429%0.8214.1
Anubis1155%1.2518.4
Cache580%0.659.2

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

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

28.0%Headshot accuracy
22.5%Accuracy (enemy spotted)
24.1%Spray accuracy
83.2%Counter-strafing
8.9°Preaim
615msReaction time
27.7%T opening success
46.1%CT opening success
0.40Enemies flashed / flash
6.5%Flash assists
6.89HE damage / grenade
6.39Flashes / 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. 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 0.4001 — below the 0.5 mark we flag

    Grenade Lineups
  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 27.6901% — below the 40% mark we flag

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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust26–13-0.1033%27 Aug
cache13–20.0642%19 Aug
mirage15–15-0.0134%19 Aug
mirage11–13-0.0717%16 Aug
dust213–110.0221%9 Aug
cache13–3-0.0035%9 Aug
nuke13–5-0.0123%9 Aug
nuke7–130.0327%8 Aug
cache13–50.0219%8 Aug
inferno13–60.0737%8 Aug
cache13–100.0026%7 Aug
inferno13–80.0139%7 Aug
dust24–13-0.099%7 Aug
dust213–30.0136%4 Aug
cache8–13-0.0629%4 Aug
mirage13–11-0.0431%3 Aug
inferno13–6-0.0626%3 Aug
cache8–13-0.0229%2 Aug
dust210–13-0.0518%23 Jul
dust28–13-0.0628%23 Jul
dust28–13-0.0722%19 Jul
mirage8–13-0.0726%19 Jul
mirage6–13-0.1019%11 Jul
mirage11–13-0.0928%11 Jul
mirage13–20.0116%10 Jul
dust216–14-0.0622%10 Jul
cache13–110.0138%10 Jul
mirage16–120.0536%10 Jul
ancient11–13-0.0326%10 Jul
inferno13–5-0.0147%10 Jul
inferno10–13-0.0630%10 Jul
cache13–11-0.0232%10 Jul
cache9–13-0.0132%10 Jul
dust213–9-0.1021%10 Jul
cache13–2-0.0119%10 Jul
dust28–13-0.0838%9 Jul
mirage13–110.0226%9 Jul
cache7–130.0046%9 Jul
cache13–9-0.0938%9 Jul
inferno13–5-0.0031%9 Jul
nuke6–13-0.0332%9 Jul
cache3–13-0.0618%9 Jul
cache13–9-0.1030%8 Jul
nuke13–11-0.0634%7 Jul
cache3–13-0.0514%7 Jul
cache10–13-0.0616%6 Jul
cache6–13-0.0317%6 Jul
mirage11–130.0640%5 Jul
inferno13–10-0.0535%5 Jul
inferno3–13-0.0224%5 Jul
anubis11–13-0.0128%5 Jul
overpass13–7-0.0329%4 Jul
overpass13–50.0143%4 Jul
nuke8–13-0.0629%4 Jul
mirage13–70.0337%3 Jul
dust21–13-0.0525%3 Jul
mirage16–13-0.0217%3 Jul
mirage10–13-0.0310%3 Jul
cache12–120.0240%2 Jul
cache11–13-0.0640%30 Jun
dust27–13-0.0726%18 Jun
inferno4–13-0.0027%18 Jun
nuke11–13-0.0536%11 Jun
ancient12–16-0.0535%11 Jun
inferno15–150.0422%9 Jun
inferno13–6-0.0222%8 Jun
inferno11–130.0124%8 Jun
cache0–13-0.1127%6 Jun
dust211–13-0.119%6 Jun
ancient13–6-0.0028%6 Jun
inferno13–7-0.0915%6 Jun
mirage12–160.0327%6 Jun
nuke5–13-0.0719%6 Jun
overpass9–13-0.0221%5 Jun
inferno13–9-0.0245%5 Jun
mirage9–13-0.0222%4 Jun
ancient13–11-0.0122%4 Jun
dust213–100.0541%4 Jun
mirage9–130.0729%4 Jun
cache7–13-0.0328%4 Jun
inferno9–13-0.0924%4 Jun
mirage15–15-0.0638%3 Jun
dust29–130.0227%3 Jun
cache10–130.0325%2 Jun
cache13–9-0.0336%2 Jun
mirage13–11-0.0216%25 May
ancient7–13-0.0524%25 May
dust213–40.0020%25 May
cache5–13-0.0311%22 May
cache13–100.0323%20 May
dust27–13-0.0628%19 May
cache9–130.0628%19 May
cache13–7-0.0029%19 May
mirage13–7-0.0333%18 May
dust27–13-0.0130%18 May
mirage9–13-0.0519%18 May
cache13–8-0.0325%18 May
mirage9–13-0.0526%18 May
ancient1–6-0.080%17 May
anubis3–13-0.0750%17 May

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 →