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YN_dancez — CS2 Stats

76561198258649759[U:1:298384031]

535Tracked matches43%Win rate2021Tracked since
CSDB Rating3.5 Learning
Premier CS Rating7,503Light Blue band · top ~66.8% of ranked players (population est.)
CSDB Leaderboard#23793 of 31607 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGYN_dancezPREMIER7,503 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim34
Positioning39
Utility55

0–100 skill scores via Leetify.

Recent form

COLD39–54–7Last 10039%Win rateLLLLTLWWLL

Last 10 vs previous 10: -20pp win rate · -0.06 avg rating

Player DNA

Aim3.4
Aggression3.4
Utility5.5
Positioning3.9
Opening Duels0.0
Clutch2.6

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 75% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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. 685ms 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

Aim3.4
Positioning3.9
Utility5.5
Mechanics6.2
Opening Duels0.9
Win Impact2.8

Composite 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time667ms−67ms
first ⅓ avg 735ms → last ⅓ avg 667ms
Headshot accuracy12.2%−0.7%
first ⅓ avg 12.8% → last ⅓ avg 12.2%

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.

Highlights

0.18Best rating — inferno 9–3
13–2Biggest win — inferno
5Longest win streak
L4Current streak
11–9In matches decided by ≤2 rounds
12Overtime games

Map breakdown

mirageBest map · 58% over 19anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoD3911–2828%-0.05
mirageA1911–858%-0.03
dust2B105–550%-0.04
nukeC94–544%-0.04
cacheC94–544%-0.05
anubisD61–517%-0.05
ancient—42–250%-0.02
overpass—21–150%-0.05
shelter—10–10%-0.04
poseidon—10–10%-0.14

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

11Matches
45%Win rate
0.47Avg K/D
48.6ADR
46%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust2333%0.398.3
Mirage367%0.546.0
Inferno250%0.468.5
Ancient20%0.538.5
Nuke1100%0.4213.0

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.

13.1%Headshot accuracy
30.6%Accuracy (enemy spotted)
31.8%Spray accuracy
77.8%Counter-strafing
12.1°Preaim
685msReaction time
22.1%T opening success
37.1%CT opening success
0.55Enemies flashed / flash
11.0%Flash assists
13.63HE damage / grenade
3.58Flashes / 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 12.1456° — 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 13.0943% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.5798 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
shelter3–13-0.0415%28 Aug →
dust21–13-0.0613%28 Aug →
inferno0–13-0.057%28 Aug →
nuke6–9-0.1112%24 Aug →
inferno8–8-0.0314%23 Aug →
nuke1–9-0.114%23 Aug →
nuke9–7-0.0213%23 Aug →
inferno9–7-0.0122%23 Aug →
inferno1–9-0.220%23 Aug →
inferno6–9-0.148%23 Aug →
mirage13–11-0.0520%20 Aug →
cache4–13-0.059%20 Aug →
inferno3–13-0.057%20 Aug →
mirage16–140.0112%20 Aug →
nuke13–10-0.0312%20 Aug →
dust23–13-0.087%17 Aug →
nuke13–160.0311%17 Aug →
dust213–50.0813%17 Aug →
ancient6–13-0.072%17 Aug →
inferno10–13-0.0011%8 Aug →
ancient9–10-0.0514%8 Aug →
mirage13–7-0.0320%8 Aug →
inferno5–130.0111%7 Aug →
anubis8–13-0.0112%7 Aug →
mirage10–13-0.1010%7 Aug →
anubis5–13-0.0631%5 Aug →
ancient13–60.0312%1 Aug →
inferno14–16-0.0514%1 Aug →
mirage13–6-0.079%28 Jul →
inferno10–13-0.0527%28 Jul →
anubis13–8-0.0811%23 Jul →
mirage13–90.0210%23 Jul →
mirage13–60.0410%23 Jul →
dust213–9-0.0418%19 Jul →
inferno13–8-0.0014%19 Jul →
mirage6–13-0.0114%19 Jul →
inferno9–13-0.0913%19 Jul →
inferno3–9-0.2013%18 Jul →
inferno4–9-0.0417%18 Jul →
inferno1–9-0.1624%18 Jul →
inferno8–13-0.0615%15 Jul →
dust26–13-0.080%15 Jul →
inferno13–8-0.0716%15 Jul →
cache13–8-0.0314%15 Jul →
inferno13–9-0.0119%12 Jul →
anubis12–16-0.078%12 Jul →
inferno15–15-0.0313%11 Jul →
mirage9–13-0.038%11 Jul →
inferno11–13-0.0410%11 Jul →
inferno9–70.0616%7 Jul →
inferno9–10.0620%7 Jul →
poseidon4–9-0.1415%7 Jul →
nuke9–6-0.0310%7 Jul →
inferno3–9-0.1114%7 Jul →
inferno5–9-0.0424%6 Jul →
nuke11–13-0.0611%6 Jul →
mirage15–15-0.0522%5 Jul →
dust28–13-0.0624%5 Jul →
mirage13–11-0.0310%22 Jun →
inferno16–14-0.0418%22 Jun →
dust213–9-0.039%22 Jun →
nuke3–8-0.0429%21 Jun →
mirage13–3-0.048%21 Jun →
inferno11–13-0.0412%21 Jun →
inferno13–20.0122%21 Jun →
inferno10–13-0.0910%18 Jun →
dust213–30.0147%18 Jun →
inferno7–9-0.1123%15 Jun →
inferno7–9-0.0012%15 Jun →
inferno7–9-0.0643%15 Jun →
inferno9–3-0.2018%15 Jun →
dust216–13-0.0813%12 Jun →
overpass16–14-0.0517%12 Jun →
anubis13–16-0.0212%12 Jun →
inferno9–40.1022%7 Jun →
inferno9–30.1818%7 Jun →
mirage13–11-0.049%5 Jun →
overpass11–13-0.054%4 Jun →
mirage13–5-0.0110%4 Jun →
inferno10–130.034%24 May →
cache13–9-0.039%24 May →
cache12–12-0.0411%21 May →
cache10–13-0.106%18 May →
cache13–10-0.0210%12 May →
cache13–11-0.038%10 May →
inferno4–9-0.0110%10 May →
cache7–13-0.0616%5 May →
cache12–12-0.0611%30 Apr →
inferno15–15-0.0812%22 Apr →
anubis10–13-0.097%22 Apr →
inferno2–13-0.130%22 Apr →
mirage4–13-0.0618%22 Apr →
mirage13–60.0122%21 Apr →
dust215–15-0.0912%21 Apr →
ancient7–130.0117%20 Apr →
inferno11–13-0.0414%20 Apr →
mirage10–13-0.0715%20 Apr →
nuke8–2-0.035%16 Apr →
mirage8–13-0.0710%16 Apr →
mirage9–13-0.027%15 Apr →

Match data via Leetify.

Recent teammates

Milestones

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

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