Noodle

Noodle — CS2 Stats

US76561199567255817[U:1:1606990089]Steam profile ↗✓ No bans

533Tracked matches34%Win rate2024Tracked since
1,114Hours in CS0Hrs last 2 wks
CSDB Rating5.3 DevelopingAggressive Rifler
WingmanGold Nova I
Ladder ranks via Leetify

Performance scores

Aim81
Positioning46
Utility43

0–100 skill scores via Leetify.

Recent form

COLD42526Last 10042%Win rateWLLWLLWLLL

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

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.1
Aggression7.9
Utility4.3
Positioning4.6
Opening Duels2.7
Clutch0.0

Strong CT-side opener

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

b1t

Plays most like b1t 89% 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

Areas to improve

Positioning. Positioning trails aim by 35 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 53% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 643ms 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

Aim8.1
Positioning4.6
Utility4.3
Mechanics6.7
Opening Duels2.8
Win Impact0.0

Composite 5.3/10 (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-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time652ms+32ms
first ⅓ avg 620ms → last ⅓ avg 652ms
Headshot accuracy21.6%+4.7%
first ⅓ avg 16.8% → last ⅓ avg 21.6%

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

0.12Best rating — nuke 16–12
132Biggest win — overpass
6Longest win streak
86In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 71% over 7infernoWeakest map · 0% over 11
MapGradePlayedRecordWin rateAvg rating
mirageC27121544%-0.00
cacheB22101245%0.00
infernoD110110%-0.03
dust2C114736%-0.02
nukeA95456%-0.00
anubisS75271%0.01
ancient42250%0.00
train330100%0.05
office3030%-0.03
poseidon1010%-0.21
vertigo1010%-0.07
overpass110100%0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,105Lifetime kills
0.95K/D
1,185Matches
47.0%Match win rate · Top 50% of tracked players
36.8%Headshot %
0.0%Shot accuracy
2,232MVPs
399Hours (in match)
1,066Bombs planted
256Bombs defused

Most-used weapons

Lifetime map wins

1,678dust2
1,604inferno
1,108nuke
833train
400office
340vertigo
32italy

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

Faceit stats

Combat

13Matches
15%Win rate
0.61Avg K/D
56.4ADR
35%Headshot %

Clutches & streaks

0%1v1 clutch win
12%1v2 clutch win
1Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust250%0.375.2
Mirage40%0.507.3
Ancient20%0.619.5
Anubis1100%1.4619.0
Train1100%1.4413.0

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.

20.4%Headshot accuracy
36.3%Accuracy (enemy spotted)
42.2%Spray accuracy
80.1%Counter-strafing
6.8°Preaim
643msReaction time
28.9%T opening success
52.6%CT opening success
0.44Enemies flashed / flash
3.2%Flash assists
7.92HE damage / grenade
5.13Flashes / 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 0.4421 — 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 28.875% — 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.

0% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–110.0514%12 Aug
poseidon3–9-0.2121%3 Aug
inferno7–9-0.1614%31 Jul
train13–110.0720%21 Jul
mirage2–9-0.0040%14 Jul
ancient9–13-0.039%14 Jul
nuke16–120.1218%13 Jul
cache9–130.0427%12 Jul
cache13–160.0319%10 Jul
mirage11–130.0321%10 Jul
mirage13–160.0618%9 Jul
nuke8–8-0.0421%9 Jul
cache9–13-0.0711%9 Jul
mirage9–13-0.0318%9 Jul
cache4–11-0.0516%8 Jul
mirage13–90.0529%8 Jul
office8–13-0.0731%8 Jul
office12–120.0622%8 Jul
cache2–130.0215%8 Jul
cache2–7-0.0830%7 Jul
mirage3–13-0.0112%6 Jul
dust213–7-0.0019%6 Jul
mirage13–110.0126%5 Jul
anubis13–9-0.0422%4 Jul
dust27–13-0.0212%4 Jul
mirage8–13-0.0123%2 Jul
nuke6–9-0.1046%2 Jul
mirage9–13-0.0417%1 Jul
cache9–130.0416%1 Jul
cache13–60.0129%1 Jul
office2–13-0.0727%30 Jun
cache13–60.0934%30 Jun
mirage13–11-0.0013%29 Jun
inferno8–13-0.0223%29 Jun
mirage11–13-0.0311%29 Jun
cache13–80.0730%28 Jun
dust26–130.029%27 Jun
inferno10–13-0.0316%26 Jun
nuke13–110.0628%26 Jun
nuke7–13-0.0350%26 Jun
dust213–70.0126%25 Jun
cache11–13-0.0721%25 Jun
mirage13–90.0626%24 Jun
inferno10–130.0313%24 Jun
ancient13–50.059%24 Jun
inferno6–9-0.0635%24 Jun
inferno11–130.0229%23 Jun
nuke3–130.0417%23 Jun
anubis13–10-0.037%23 Jun
mirage13–8-0.047%22 Jun
anubis13–60.0221%20 Jun
anubis13–90.1122%18 Jun
train5–00.0720%18 Jun
train13–11-0.0122%17 Jun
inferno1–10-0.040%16 Jun
mirage13–8-0.0111%16 Jun
nuke9–6-0.0814%16 Jun
mirage9–13-0.0422%15 Jun
mirage13–8-0.0317%12 Jun
mirage5–13-0.0325%11 Jun
nuke13–110.0018%11 Jun
mirage13–30.0828%11 Jun
inferno4–90.0312%10 Jun
dust210–13-0.0316%9 Jun
dust213–11-0.0634%7 Jun
mirage15–150.0213%7 Jun
dust214–160.018%5 Jun
cache13–10-0.0027%5 Jun
inferno1–13-0.0811%4 Jun
anubis9–13-0.0017%4 Jun
cache5–130.0312%4 Jun
mirage7–13-0.0521%4 Jun
vertigo12–12-0.0715%4 Jun
cache8–130.0116%3 Jun
overpass13–20.086%3 Jun
cache13–8-0.0619%2 Jun
anubis9–130.0126%31 May
dust210–13-0.109%31 May
mirage13–9-0.057%31 May
ancient8–13-0.006%31 May
dust29–13-0.038%29 May
mirage10–13-0.008%28 May
inferno5–13-0.0617%28 May
cache13–70.0117%28 May
mirage13–70.0320%28 May
ancient13–70.000%28 May
inferno10–13-0.0011%28 May
mirage10–13-0.0219%28 May
cache13–70.0330%27 May
mirage13–40.0019%23 May
nuke13–80.0017%23 May
dust213–9-0.0827%23 May
anubis13–3-0.0011%22 May
cache7–13-0.0313%20 May
dust212–120.0519%18 May
cache13–8-0.0131%16 May
cache13–8-0.0925%14 May
cache12–120.1121%14 May
cache13–40.0436%14 May
mirage5–12-0.0615%11 May

Match data via Leetify.

Recent teammates

Milestones

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