YNOT — CS2 Stats

76561198281085548[U:1:320819820]

1,046Tracked matches63%Win rate2020Tracked since
CSDB Rating5.2 Developing
Premier CS Rating16,239Purple band · top ~23.5% of ranked players (population est.)
CSDB Leaderboard#29238 of 52255 tracked
Ladder ranks via Leetify

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CSDB.GGYNOTPREMIER16,239 · Purple bandcsdb.gg/stats

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Performance scores

Aim52
Positioning48
Utility68

0–100 skill scores via Leetify.

Recent form

HOT47458Last 10047%Win rateWWWWLWWLWW

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating

Player DNA

Aim5.2
Aggression4.4
Utility6.8
Positioning4.8
Opening Duels0.6

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 82% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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. 555ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim5.2
Positioning4.8
Utility6.8
Mechanics4.2
Opening Duels0.9
Win Impact9.4

Composite 5.2/10 (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 rating0.01+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time556ms+12ms
first ⅓ avg 545ms → last ⅓ avg 556ms
Headshot accuracy15.2%+1.8%
first ⅓ avg 13.4% → last ⅓ avg 15.2%

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

0.09Best rating — nuke 13–4
132Biggest win — cache
5Longest win streak
W4Current streak
810In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 54% over 13mirageWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
cacheB24111346%-0.01
infernoB178947%-0.00
anubisB137654%-0.00
nukeB126650%0.00
dust2B115645%-0.01
ancientB105550%0.00
mirageD61517%-0.03
vertigo330100%-0.01
train21150%-0.10
overpass1010%0.00
office1010%-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Mirage 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.

15.2%Headshot accuracy
31.9%Accuracy (enemy spotted)
34.2%Spray accuracy
69.0%Counter-strafing
10.6°Preaim
555msReaction time
27.1%T opening success
37.5%CT opening success
0.68Enemies flashed / flash
4.1%Flash assists
11.97HE damage / grenade
12.56Flashes / 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

    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 27.1059% — below the 40% mark we flag

Spend your practice time on Mirage

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.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–90.0018%30 Aug
nuke13–50.0328%30 Aug
inferno13–70.0411%29 Aug
nuke13–40.0110%29 Aug
inferno10–13-0.0225%28 Aug
nuke13–60.0413%28 Aug
cache13–20.0218%26 Aug
dust29–13-0.0629%26 Aug
cache13–7-0.015%26 Aug
cache16–130.0212%21 Aug
ancient13–30.0221%21 Aug
inferno8–130.0513%19 Aug
dust27–13-0.0918%19 Aug
inferno13–16-0.0314%12 Aug
ancient16–140.059%12 Aug
cache6–130.0212%9 Aug
inferno13–11-0.043%9 Aug
dust213–20.0317%8 Aug
dust26–13-0.0316%8 Aug
mirage9–13-0.0417%6 Aug
nuke14–160.0317%4 Aug
cache11–13-0.0417%4 Aug
dust213–90.0319%4 Aug
anubis13–80.0711%2 Aug
inferno9–130.0620%2 Aug
ancient13–9-0.025%1 Aug
dust213–40.0316%1 Aug
vertigo13–30.0120%1 Aug
dust216–130.0618%29 Jul
vertigo13–9-0.0312%29 Jul
dust214–160.0312%28 Jul
ancient15–150.0318%25 Jul
cache13–60.049%25 Jul
cache13–11-0.0210%24 Jul
mirage15–15-0.029%22 Jul
nuke13–40.0911%22 Jul
inferno5–130.0042%22 Jul
anubis13–80.066%18 Jul
ancient13–10-0.0514%17 Jul
ancient10–130.015%16 Jul
inferno13–110.0418%13 Jul
ancient14–16-0.003%13 Jul
dust26–13-0.107%12 Jul
inferno13–30.058%12 Jul
anubis10–130.0316%12 Jul
cache13–2-0.0514%9 Jul
cache13–9-0.0214%9 Jul
anubis9–13-0.0321%9 Jul
inferno12–12-0.0413%8 Jul
train12–12-0.113%8 Jul
cache5–13-0.0412%8 Jul
cache13–11-0.0412%2 Jul
nuke5–13-0.0718%1 Jul
anubis13–8-0.046%27 Jun
cache10–20.0414%27 Jun
dust211–130.0625%24 Jun
inferno7–13-0.049%19 Jun
anubis13–5-0.023%17 Jun
anubis13–90.0022%14 Jun
inferno13–70.013%11 Jun
inferno13–100.028%11 Jun
nuke13–9-0.0116%6 Jun
mirage7–13-0.039%6 Jun
nuke14–160.049%3 Jun
vertigo13–11-0.0110%3 Jun
inferno13–16-0.0524%31 May
anubis15–15-0.0214%31 May
train13–5-0.088%31 May
ancient6–13-0.0310%30 May
anubis13–7-0.0116%28 May
nuke10–13-0.0514%27 May
anubis3–130.0114%27 May
cache3–13-0.0412%25 May
cache13–30.0516%24 May
inferno4–13-0.115%24 May
anubis9–13-0.0715%24 May
dust213–11-0.063%23 May
cache11–130.0518%23 May
nuke13–10-0.0019%22 May
inferno13–5-0.0128%20 May
cache8–130.0412%17 May
overpass11–130.0010%17 May
nuke7–13-0.0411%17 May
anubis12–160.0415%16 May
ancient13–70.0213%13 May
office9–13-0.0430%13 May
cache7–13-0.0222%10 May
nuke1–13-0.0615%6 May
cache12–120.0414%6 May
cache12–12-0.0311%5 May
cache3–130.0117%2 May
cache13–4-0.029%2 May
cache9–13-0.0114%30 Apr
cache12–12-0.0314%29 Apr
cache4–13-0.1212%29 Apr
mirage13–8-0.055%26 Apr
mirage11–13-0.058%26 Apr
ancient11–13-0.039%26 Apr
anubis13–11-0.0718%22 Apr
mirage10–13-0.006%21 Apr

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 →