this->noob_ — CS2 Stats

76561198857763629[U:1:897497901]✓ No bans

1,165Tracked matches62%Win rate2020Tracked since
CSDB Rating5.8 SolidHybrid Rifler
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGthis->noob_FACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim67
Positioning49
Utility46

0–100 skill scores via Leetify.

Recent form

HOT43534Last 10043%Win rateLTWWWLWWWW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

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

Aim6.7
Aggression5.0
Utility4.6
Positioning4.9
Opening Duels1.7
Clutch1.8

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 88% playstyle similarity

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

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

Reaction time. 607ms 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

Aim6.7
Positioning4.9
Utility4.6
Mechanics7.0
Opening Duels1.7
Win Impact9.0

Composite 5.8/10 (Solid), 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 rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time613ms+44ms
first ⅓ avg 569ms → last ⅓ avg 613ms
Headshot accuracy15.8%−6.9%
first ⅓ avg 22.7% → last ⅓ avg 15.8%

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

0.11Best rating — dust2 9–13
132Biggest win — mirage
7Longest win streak
62In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 50% over 30infernoWeakest map · 32% over 28
MapGradePlayedRecordWin rateAvg rating
mirageB30151550%0.01
infernoD2891932%0.01
dust2C27121544%0.00
ancient42250%0.02
overpass42250%0.00
nuke31233%-0.01
cache110100%0.00
office1010%-0.01
anubis1010%-0.04
train110100%0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (32% over 28). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

172Matches
52%Win rate
1.16Avg K/D
93.1ADR
50%Headshot %

Clutches & streaks

29%1v1 clutch win
19%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage3951%1.0714.7
Inferno2752%1.3021.5
Vertigo1861%1.2215.9
Dust21669%1.3717.6
Ancient1155%1.3318.4
Anubis933%1.1720.6
Nuke30%0.7914.0
Train250%0.9718.5

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.

15.8%Headshot accuracy
36.1%Accuracy (enemy spotted)
38.1%Spray accuracy
81.5%Counter-strafing
10.6°Preaim
607msReaction time
33.7%T opening success
39.6%CT opening success
0.51Enemies flashed / flash
7.5%Flash assists
3.82HE damage / grenade
13.57Flashes / 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 33.7159% — below the 40% mark we flag

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.

32% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust25–13-0.0315%10 Jul
mirage15–15-0.0117%10 Jul
mirage13–7-0.0318%9 Jul
cache13–70.0018%9 Jul
mirage13–7-0.007%9 Jul
inferno6–13-0.0621%7 Jul
mirage13–90.0124%6 Jul
dust213–50.0516%6 Jul
dust213–80.0210%5 Jul
mirage13–50.0313%5 Jul
mirage16–130.0316%1 Jul
dust213–90.0019%1 Jul
mirage13–8-0.068%22 Jun
inferno8–13-0.0816%21 Jun
inferno7–13-0.0613%21 Jun
ancient8–13-0.0215%21 Jun
mirage6–13-0.0513%21 Jun
dust211–13-0.0413%21 Jun
dust213–60.0817%21 Jun
mirage8–130.0615%20 Jun
inferno11–130.0029%17 Jun
dust213–6-0.0911%17 Jun
mirage4–130.0226%17 Jun
mirage13–60.0018%17 Jun
inferno13–100.0414%14 Jun
mirage13–110.0416%14 Jun
dust213–90.0010%13 Jun
ancient13–70.0516%12 Jun
nuke13–110.0116%12 Jun
dust24–130.0618%12 Jun
nuke15–15-0.0213%12 Jun
mirage2–13-0.0123%12 Jun
inferno13–40.0811%12 Jun
inferno13–6-0.0122%11 Jun
mirage10–13-0.0221%11 Jun
dust29–13-0.0413%11 Jun
inferno9–13-0.0212%11 Jun
inferno3–13-0.0445%10 Jun
dust28–130.0024%10 Jun
mirage13–60.0512%9 Jun
dust210–130.0314%9 Jun
mirage13–70.0412%8 Jun
overpass13–80.0516%8 Jun
ancient13–90.0613%8 Jun
dust213–110.0616%8 Jun
inferno3–0-0.0333%8 Jun
dust29–130.1120%7 Jun
dust213–7-0.0014%7 Jun
inferno4–130.0819%7 Jun
inferno4–13-0.0811%7 Jun
dust24–130.0219%7 Jun
mirage6–130.0016%7 Jun
dust29–13-0.0526%6 Jun
mirage13–20.069%6 Jun
dust210–13-0.0910%4 Jun
inferno5–13-0.0316%4 Jun
mirage2–130.0220%4 Jun
dust213–80.0312%4 Jun
inferno13–160.0312%4 Jun
mirage9–130.0226%4 Jun
inferno3–130.0217%3 Jun
dust215–150.1023%3 Jun
overpass13–50.0234%3 Jun
mirage13–70.0317%2 Jun
dust213–100.0017%2 Jun
inferno7–130.0116%2 Jun
inferno6–130.0622%30 May
mirage10–130.0516%30 May
dust213–50.1019%30 May
inferno10–130.0319%27 May
inferno4–13-0.0521%26 May
inferno13–100.0718%26 May
inferno13–90.0827%24 May
inferno13–110.017%23 May
mirage13–50.0326%11 Apr
overpass5–13-0.0515%11 Apr
inferno13–90.0922%10 Apr
inferno10–13-0.0243%10 Apr
inferno13–90.0419%6 Apr
dust210–13-0.0617%6 Apr
dust26–13-0.0431%16 Mar
ancient8–13-0.0117%19 Jan
nuke3–13-0.0327%19 Jan
inferno3–9-0.1020%19 Jan
inferno12–120.0927%9 Jan
inferno4–110.0214%25 Dec
dust27–13-0.1033%25 Dec
office3–13-0.0125%25 Dec
mirage8–00.0521%25 Dec
dust29–13-0.0724%13 Dec
mirage3–130.0131%13 Dec
mirage10–130.0222%12 Dec
overpass7–13-0.0120%30 Aug
mirage10–13-0.0933%29 Aug
dust213–110.0211%22 Aug
mirage2–13-0.0121%22 Aug
anubis7–13-0.0430%22 Aug
mirage6–130.0618%13 Jul
train13–40.0734%4 Jul
mirage13–110.0023%2 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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