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jaz — CS2 Stats

76561197963497823[U:1:3232095]

5,261Tracked matches41%Win rate2020Tracked since
CSDB Rating4.8 DevelopingPassive Rifler
Premier CS Rating19,891Purple band · top ~8.9% of ranked players (population est.)
CSDB Leaderboard#6893 of 14899 tracked
FaceitLevel 5 · 1,248 ELOTop 67.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

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CSDB.GGjazFACEITLevel 5 · 1,248 ELOSTANDINGTop 67.6% of rankedPREMIER19,891 · Purple bandcsdb.gg/stats

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Performance scores

Aim73
Positioning37
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY41–55–4Last 10041%Win rateLLLWWWLLWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim7.3
Aggression1.8
Utility4.5
Positioning3.7
Opening Duels0.0
Clutch3.0

Limited 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 78% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower opening-fight frequency.

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

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

Reaction time. 576ms 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

Aim7.3
Positioning3.7
Utility4.5
Mechanics6.7
Opening Duels0.0
Win Impact2.1

Composite 4.8/10 (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 rating-0.03−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time567ms−35ms
first ⅓ avg 602ms → last ⅓ avg 567ms
Headshot accuracy13.6%−1.0%
first ⅓ avg 14.7% → last ⅓ avg 13.6%

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

0.10Best rating — mirage 13–5
13–0Biggest win — inferno
4Longest win streak
L3Current streak
6–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 52% over 33nukeWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B3317–1652%-0.02
mirageB2110–1148%-0.02
infernoC125–742%-0.01
ancientD113–827%-0.06
nukeD81–713%-0.02
anubisD71–614%-0.02
cacheC52–340%-0.03
vertigo—21–150%-0.03
train—11–0100%0.10

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

325Matches
50%Win rate
0.95Avg K/D
81.5ADR
38%Headshot %

Clutches & streaks

35%1v1 clutch win
16%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage6555%1.0615.5
Dust24149%1.0714.7
Inferno3456%1.0616.6
Ancient2955%0.9113.3
Nuke1443%1.1616.2
Overpass944%1.0414.4
Vertigo812%0.7611.5
Anubis875%1.3418.5

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.

13.3%Headshot accuracy
36.3%Accuracy (enemy spotted)
39.4%Spray accuracy
80.3%Counter-strafing
8.4°Preaim
576msReaction time
27.9%T opening success
22.2%CT opening success
0.52Enemies flashed / flash
5.2%Flash assists
11.21HE damage / grenade
4.74Flashes / 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. 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 13.3398% — below the 15% mark we flag

    Aim Training →
  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 27.9398% — 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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis9–13-0.0510%28 Aug →
ancient10–13-0.059%28 Aug →
cache2–13-0.0520%28 Aug →
dust213–30.0126%28 Aug →
dust213–90.018%28 Aug →
inferno13–9-0.0111%28 Aug →
dust28–13-0.067%28 Aug →
mirage9–13-0.0424%28 Aug →
dust213–9-0.018%28 Aug →
dust213–60.0011%28 Aug →
mirage1–13-0.0815%28 Aug →
vertigo12–16-0.0310%26 Aug →
ancient9–13-0.0816%26 Aug →
dust213–100.0013%26 Aug →
dust213–2-0.0123%26 Aug →
mirage4–13-0.0910%25 Aug →
nuke7–130.0310%25 Aug →
anubis15–15-0.0017%22 Aug →
cache13–7-0.0027%22 Aug →
inferno2–13-0.085%22 Aug →
dust213–11-0.0210%19 Aug →
dust211–13-0.016%19 Aug →
mirage13–11-0.0416%19 Aug →
dust26–13-0.0616%18 Aug →
inferno7–13-0.0212%18 Aug →
dust213–9-0.0316%18 Aug →
ancient1–13-0.078%18 Aug →
ancient16–14-0.0211%17 Aug →
dust29–13-0.0822%17 Aug →
dust211–13-0.0111%16 Aug →
inferno13–90.0413%16 Aug →
nuke10–130.0214%16 Aug →
dust210–130.0416%16 Aug →
dust212–12-0.068%16 Aug →
mirage13–6-0.0218%14 Aug →
dust27–13-0.0313%14 Aug →
dust27–13-0.0511%14 Aug →
dust213–80.0821%13 Aug →
cache14–16-0.018%12 Aug →
inferno12–16-0.058%12 Aug →
anubis9–13-0.0714%11 Aug →
dust213–90.0216%11 Aug →
dust211–13-0.0412%11 Aug →
dust213–11-0.058%10 Aug →
mirage13–100.019%9 Aug →
ancient8–13-0.0212%9 Aug →
nuke13–100.0210%9 Aug →
mirage11–13-0.0814%9 Aug →
dust212–16-0.047%9 Aug →
cache13–10-0.0415%9 Aug →
anubis15–150.0310%9 Aug →
ancient13–11-0.099%9 Aug →
dust28–13-0.0021%8 Aug →
mirage13–50.027%7 Aug →
mirage7–13-0.042%7 Aug →
nuke5–8-0.0414%7 Aug →
nuke6–13-0.098%7 Aug →
dust213–40.055%7 Aug →
mirage4–13-0.0514%7 Aug →
dust213–90.0217%7 Aug →
inferno10–13-0.0812%7 Aug →
dust213–10.0532%7 Aug →
mirage13–10-0.0313%7 Aug →
ancient8–13-0.077%7 Aug →
inferno5–60.0311%7 Aug →
mirage1–13-0.0222%7 Aug →
inferno13–10-0.018%6 Aug →
mirage13–70.0615%6 Aug →
dust213–8-0.0621%6 Aug →
mirage13–9-0.0313%5 Aug →
nuke1–13-0.076%5 Aug →
dust24–13-0.0223%5 Aug →
dust28–13-0.0714%4 Aug →
inferno4–13-0.0412%4 Aug →
nuke15–15-0.0115%2 Aug →
mirage13–50.1014%2 Aug →
mirage13–90.0211%2 Aug →
ancient7–13-0.0419%2 Aug →
dust213–80.0220%2 Aug →
vertigo13–11-0.049%2 Aug →
train13–40.1011%2 Aug →
dust26–10-0.0118%2 Aug →
anubis13–40.0418%2 Aug →
anubis6–13-0.052%1 Aug →
mirage7–13-0.037%1 Aug →
mirage13–16-0.0210%1 Aug →
inferno13–00.0311%1 Aug →
mirage5–13-0.0811%1 Aug →
ancient13–10-0.1022%1 Aug →
anubis9–10-0.0519%31 Jul →
inferno11–13-0.0011%31 Jul →
ancient9–13-0.0626%31 Jul →
mirage4–13-0.059%31 Jul →
dust29–13-0.0514%31 Jul →
mirage13–6-0.0430%31 Jul →
ancient13–16-0.0216%31 Jul →
inferno13–80.0114%30 Jul →
nuke9–13-0.0218%30 Jul →
dust213–7-0.0415%27 Jul →
cache7–13-0.0611%27 Jul →

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 →

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