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Yazzy — CS2 Stats

76561198285971170[U:1:325705442]

1,132Tracked matches43%Win rate2023Tracked since
1,482Hours in CS14Hrs last 2 wks
CSDB Rating2.1 Learning
Premier CS Rating1,000Grey band · top ~95.8% of ranked players (population est.)
CSDB Leaderboard#31352 of 39928 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=369), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate33.0%37.5%39.7%6.6% short
Shot accuracy4.1%4.5%6.7%2.5% short
Kill/death ratio0.830.820.910.08 short
Match win rate40.4%39.1%42.1%1.7% short

This profile sits below the typical Light Blue band player on every metric we can compare.

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

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CSDB.GGYazzyPREMIER1,000 · Grey bandcsdb.gg/stats

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Performance scores

Aim12
Positioning43
Utility19

0–100 skill scores via Leetify.

Recent form

COLD37–59–4Last 10037%Win rateLLWLLLWLLL

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

Aim1.2
Aggression4.1
Utility1.9
Positioning4.3
Opening Duels0.9

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 64% playstyle similarity

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

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 53% on CT to 14% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 737ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 59% 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

Aim1.2
Positioning4.3
Utility1.9
Mechanics1.9
Opening Duels2.9
Win Impact2.8

Composite 2.1/10 (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-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time747ms−43ms
first ⅓ avg 790ms → last ⅓ avg 747ms
Headshot accuracy12.8%−3.6%
first ⅓ avg 16.4% → last ⅓ avg 12.8%

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

0.17Best rating — nuke 8–1
13–1Biggest win — dust2
7Longest win streak
L2Current streak
3–8In matches decided by ≤2 rounds
12Overtime games

Map breakdown

mirageBest map · 53% over 19infernoWeakest map · 29% over 21
MapGradePlayedRecordWin rateAvg rating
dust2C3113–1842%-0.03
infernoD216–1529%-0.05
mirageB1910–953%-0.04
ancientD144–1029%-0.03
nukeD124–833%-0.03
vertigo—10–10%-0.08
cache—10–10%-0.11
anubis—10–10%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,775Lifetime kills
0.83K/D · Top 50% of Grey band
2,527Matches
40.4%Match win rate · Top 50% of Grey band
33.0%Headshot %
4.1%Shot accuracy
3,301MVPs
750Hours (in match)
1,121Bombs planted
352Bombs defused

Most-used weapons

AK-476,725
AWP5,888
M4A4 / M4A1-S4,907
Desert Eagle2,081
P2000 / USP-S1,674
Glock-181,515
Galil AR856
AUG822
MP9696
MAC-10619

Lifetime map wins

5,681dust2
2,387inferno
2,133vertigo
1,021nuke
202train
69office
53italy
43lake

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.

12.7%Headshot accuracy
26.7%Accuracy (enemy spotted)
29.2%Spray accuracy
58.5%Counter-strafing
12.4°Preaim
737msReaction time
14.2%T opening success
53.0%CT opening success
0.44Enemies flashed / flash
2.5%Flash assists
0.78HE damage / grenade
5.28Flashes / 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 12.4332° — 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 12.6694% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 736.8659ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Inferno

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–160.0316%26 Aug →
dust21–13-0.0510%23 Aug →
inferno13–11-0.0712%23 Aug →
mirage8–13-0.0819%22 Aug →
dust210–13-0.116%20 Aug →
dust22–11-0.0311%20 Aug →
inferno13–110.0122%12 Aug →
vertigo11–13-0.0810%12 Aug →
dust28–13-0.1119%12 Aug →
nuke3–13-0.1114%28 Jul →
ancient6–13-0.0113%28 Jul →
cache7–13-0.115%25 Jul →
mirage13–80.0210%25 Jul →
dust29–13-0.0318%24 Jul →
nuke7–130.0015%24 Jul →
nuke7–13-0.1322%23 Jul →
mirage9–13-0.086%23 Jul →
nuke10–13-0.046%23 Jul →
ancient13–4-0.0313%22 Jul →
ancient13–70.0414%22 Jul →
dust24–13-0.0426%22 Jul →
dust216–13-0.0213%22 Jul →
mirage11–13-0.0213%22 Jul →
mirage13–5-0.036%22 Jul →
dust213–4-0.0212%21 Jul →
nuke8–10.1713%21 Jul →
inferno13–7-0.0413%20 Jul →
mirage13–5-0.0214%18 Jul →
inferno13–9-0.057%18 Jul →
dust213–10-0.0316%17 Jul →
ancient0–7-0.060%17 Jul →
mirage7–13-0.0816%16 Jul →
mirage11–13-0.0915%15 Jul →
dust210–13-0.109%15 Jul →
inferno11–13-0.114%15 Jul →
ancient1–12-0.0820%15 Jul →
nuke6–13-0.0812%15 Jul →
dust22–13-0.0520%14 Jul →
inferno13–6-0.0920%14 Jul →
nuke13–30.106%14 Jul →
mirage13–8-0.0513%14 Jul →
inferno0–13-0.0529%13 Jul →
dust211–130.049%13 Jul →
dust213–1-0.0643%12 Jul →
dust213–50.0120%12 Jul →
dust27–20.020%12 Jul →
inferno4–13-0.147%12 Jul →
mirage13–8-0.0513%12 Jul →
inferno13–16-0.053%10 Jul →
nuke13–2-0.0613%10 Jul →
ancient16–130.0212%10 Jul →
dust213–80.067%10 Jul →
ancient5–13-0.090%9 Jul →
dust25–13-0.0733%8 Jul →
inferno12–12-0.0513%7 Jul →
dust20–13-0.090%7 Jul →
inferno4–13-0.045%7 Jul →
dust28–13-0.034%6 Jul →
ancient10–13-0.024%4 Jul →
mirage13–70.0014%4 Jul →
dust213–16-0.0212%4 Jul →
ancient13–40.0517%4 Jul →
mirage13–80.0513%3 Jul →
inferno13–8-0.092%3 Jul →
nuke16–14-0.099%3 Jul →
ancient13–16-0.074%1 Jul →
mirage13–9-0.049%30 Jun →
dust27–1-0.0325%30 Jun →
nuke3–13-0.0619%30 Jun →
dust24–70.0327%30 Jun →
inferno7–13-0.0210%30 Jun →
ancient6–13-0.044%30 Jun →
anubis15–15-0.0511%30 Jun →
mirage7–13-0.0620%28 Jun →
ancient8–13-0.036%28 Jun →
mirage13–2-0.0225%28 Jun →
ancient10–13-0.0316%28 Jun →
inferno14–160.0221%28 Jun →
inferno4–13-0.1214%27 Jun →
dust213–6-0.0710%27 Jun →
inferno15–15-0.049%27 Jun →
dust27–13-0.0311%26 Jun →
nuke3–13-0.050%26 Jun →
inferno5–130.0315%26 Jun →
inferno11–13-0.0313%25 Jun →
inferno6–130.0440%24 Jun →
ancient6–13-0.069%23 Jun →
inferno6–13-0.079%23 Jun →
mirage7–130.0019%23 Jun →
inferno2–130.006%23 Jun →
dust214–16-0.0019%23 Jun →
mirage2–11-0.0417%23 Jun →
dust27–13-0.0319%23 Jun →
mirage13–10-0.0624%18 Jun →
dust213–50.0520%18 Jun →
mirage9–13-0.0510%17 Jun →
dust213–10-0.0126%11 Jun →
dust27–00.0443%11 Jun →
dust215–15-0.0715%9 Jun →
dust213–8-0.089%4 Jun →

Match data via Leetify.

Milestones

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

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