Jaytaz — CS2 Stats

76561197989899066[U:1:29633338]

444Tracked matches57%Win rate2020Tracked since
3,849Hours in CS
CSDB Rating6.5 SolidHybrid Rifler
Premier CS Rating23,990Top 50% of 819 CSDB-tracked playersPink band · top ~4.1% of ranked players (population est.)
CSDB Leaderboard#4222 of 20999 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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 playerPink band median
Headshot rate55.8%48.1%
Shot accuracy20.1%12.9%
Kill/death ratio0.981.08
Match win rate70.9%46.5%

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CSDB.GGJaytazPREMIER23,990 · Pink bandcsdb.gg/stats

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Performance scores

Aim86
Positioning45
Utility48

0–100 skill scores via Leetify.

Recent form

HOT5644Last 10056%Win rateWLWWWWLWLW

Last 10 vs previous 10: +20pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim8.6
Aggression4.8
Utility4.8
Positioning4.5
Opening Duels2.1
Clutch3.2

Sharp aimerStrong CT-side openerLimited utility dependence

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 92% playstyle similarity

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

Where you differ: lower utility contribution; lower positioning 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 41 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 48% on CT to 29% 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.

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

Aim8.6
Positioning4.5
Utility4.8
Mechanics8.1
Opening Duels2.2
Win Impact7.2

Composite 6.5/10 (Solid), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time585ms−23ms
first ⅓ avg 608ms → last ⅓ avg 585ms
Headshot accuracy18.6%−3.5%
first ⅓ avg 22.1% → last ⅓ avg 18.6%

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

0.16Best rating — office 13–4
130Biggest win — mirage
6Longest win streak
56In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 86% over 7trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageC25111444%0.01
dust2S1510567%0.02
ancientB147750%0.00
nukeB137654%0.01
anubisB84450%0.01
infernoS86275%0.00
cacheS76186%0.04
trainD51420%0.02
overpass43175%0.04
office110100%0.16

Across the last 100 tracked matches.

Lifetime stats

176,380Lifetime kills
0.98K/D
7,693Matches
70.9%Match win rate · Top 5% of Pink band
55.8%Headshot % · Top 25% of Pink band
20.1%Shot accuracy · Top 10% of Pink band
11,566MVPs
3,849Hours (in match)
6,129Bombs planted
2,072Bombs defused

Most-used weapons

AK-4779,982
AWP17,664
P2503,961
FAMAS2,272
Knife2,076
SSG 081,927

Lifetime map wins

10,476inferno
8,114dust2
6,150nuke
3,996train
3,535cbble
502vertigo
193office
112dust

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

394Matches
59%Win rate
1.47Avg K/D
80.0ADR
45%Headshot %

Clutches & streaks

36%1v1 clutch win
13%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2162%1.0214.9
Ancient1436%1.0416.9
Vertigo967%1.4717.4
Anubis978%1.1115.6
Nuke967%1.1217.9
Inferno650%1.3916.8
Dust2683%1.0015.8
Overpass1100%1.4320.0

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.

18.9%Headshot accuracy
39.5%Accuracy (enemy spotted)
44.1%Spray accuracy
86.4%Counter-strafing
9.1°Preaim
581msReaction time
28.8%T opening success
48.0%CT opening success
0.48Enemies flashed / flash
2.2%Flash assists
9.25HE damage / grenade
3.67Flashes / 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 0.4841 — 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 28.7969% — below the 40% mark we flag

Spend your practice time on Train

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
ancient13–40.0214%23 Aug
anubis11–130.0113%7 Aug
mirage13–20.0411%1 Aug
mirage13–8-0.0415%1 Aug
cache13–90.0725%1 Aug
inferno13–6-0.0422%1 Aug
ancient10–13-0.0512%31 Jul
anubis13–5-0.0118%26 Jul
mirage4–130.0418%26 Jul
nuke13–5-0.0227%26 Jul
mirage13–9-0.008%26 Jul
dust210–13-0.0520%26 Jul
ancient13–110.0012%19 Jul
mirage4–110.0418%19 Jul
nuke13–70.0223%19 Jul
anubis13–40.0220%19 Jul
nuke13–70.0720%19 Jul
mirage6–13-0.0417%19 Jul
mirage6–130.0921%19 Jul
anubis11–130.0431%18 Jul
nuke12–160.0727%18 Jul
ancient13–40.0326%18 Jul
cache13–90.0215%18 Jul
cache13–30.1113%17 Jul
nuke13–90.0426%17 Jul
mirage3–13-0.0331%16 Jul
cache10–13-0.0421%15 Jul
cache13–4-0.0015%14 Jul
dust22–13-0.0018%14 Jul
nuke0–13-0.030%13 Jul
ancient7–13-0.0217%13 Jul
cache13–10-0.0322%12 Jul
ancient13–50.0618%12 Jul
cache13–90.1326%12 Jul
dust213–10.0629%12 Jul
mirage11–13-0.0115%10 Jul
ancient1–13-0.0327%5 Jun
inferno16–14-0.0134%21 Apr
nuke7–13-0.0316%21 Apr
ancient7–13-0.0117%19 Apr
anubis6–130.0319%19 Apr
dust28–13-0.0232%19 Apr
mirage13–60.0326%19 Apr
mirage13–00.0631%19 Apr
ancient7–3-0.078%19 Apr
anubis13–90.0133%19 Apr
dust213–60.1023%19 Apr
mirage8–130.0223%18 Apr
mirage11–130.0218%18 Apr
mirage13–40.0429%18 Apr
dust213–100.0717%18 Apr
dust210–130.0117%18 Apr
nuke5–13-0.0529%18 Apr
train13–70.0419%5 Dec
nuke16–14-0.0313%4 Dec
mirage9–130.0215%4 Dec
dust213–90.0215%4 Dec
train9–130.0524%4 Dec
ancient13–7-0.0210%4 Dec
mirage11–13-0.0416%3 Dec
mirage13–90.0319%3 Dec
dust213–90.0129%1 Dec
dust27–11-0.0222%29 Nov
nuke13–50.0424%27 Nov
mirage10–13-0.0120%25 Nov
dust213–60.0120%25 Nov
dust213–6-0.0117%9 Nov
mirage16–140.0319%8 Nov
inferno13–10.1126%7 Oct
mirage13–11-0.0422%14 Sept
inferno3–13-0.0226%19 Aug
overpass13–80.0519%10 Aug
overpass6–30.0216%10 Aug
overpass9–130.0217%7 Aug
overpass16–120.0618%30 Jul
nuke6–130.0325%30 Jul
mirage16–120.0117%29 Jul
train10–130.0121%28 Jul
train10–130.0019%22 Jul
dust213–100.1224%12 Jul
office13–40.1636%12 Jul
ancient8–130.1121%26 Jun
mirage14–16-0.0220%25 Jun
nuke10–130.0324%13 Jun
mirage13–40.0212%13 Jun
ancient8–130.0119%12 Jun
inferno13–50.0320%12 Jun
inferno7–13-0.0431%10 Jun
dust213–60.0514%6 Jun
mirage10–13-0.0015%6 Jun
anubis9–13-0.0128%5 Jun
ancient13–10-0.0229%5 Jun
dust216–120.0314%30 May
nuke13–90.0139%30 May
inferno13–90.0231%26 May
anubis16–13-0.0121%25 May
inferno13–6-0.037%25 May
train8–13-0.0217%25 May
mirage3–8-0.0623%25 May
ancient9–130.0239%25 May

Match data via Leetify.

Milestones

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