i.m.newb — CS2 Stats

76561198121370902[U:1:161105174]

1,649Tracked matches50%Win rate2020Tracked since
CSDB Rating5.3 Developing
Premier CS Rating19,999Purple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#21228 of 54838 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGi.m.newbFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER19,999 · Purple bandcsdb.gg/stats

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Performance scores

Aim58
Positioning43
Utility66

0–100 skill scores via Leetify.

Recent form

HOT48475Last 10048%Win rateLWWWLWWWWW

Last 10 vs previous 10: +40pp win rate · -0.00 avg rating

Player DNA

Aim5.8
Aggression4.9
Utility6.6
Positioning4.3
Opening Duels1.9

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 86% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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 46% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 617ms 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

Aim5.8
Positioning4.3
Utility6.6
Mechanics6.9
Opening Duels2.0
Win Impact5.0

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-0.02−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time622ms−76ms
first ⅓ avg 698ms → last ⅓ avg 622ms
Headshot accuracy18.2%−0.6%
first ⅓ avg 18.8% → last ⅓ avg 18.2%

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 — mirage 13–2
130Biggest win — dust2
6Longest win streak
79In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 59% over 17dust2Weakest map · 45% over 53
MapGradePlayedRecordWin rateAvg rating
dust2B53242945%-0.01
infernoA1710759%-0.00
mirageB147750%-0.00
cacheB63350%-0.02
ancient32167%0.01
nuke31233%-0.01
anubis21150%-0.00
overpass2020%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (45% over 53). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.8%Headshot accuracy
31.0%Accuracy (enemy spotted)
32.0%Spray accuracy
81.1%Counter-strafing
10.4°Preaim
617msReaction time
29.0%T opening success
45.9%CT opening success
0.64Enemies flashed / flash
5.5%Flash assists
10.98HE damage / grenade
8.52Flashes / 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 28.9694% — below the 40% mark we flag

Spend your practice time on Dust 2

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

45% win rate across 53 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
dust22–13-0.0511%30 Aug
mirage13–11-0.0019%30 Aug
dust213–6-0.0224%30 Aug
dust213–7-0.0417%26 Aug
dust210–13-0.0325%25 Aug
dust213–70.0011%25 Aug
dust213–10-0.0019%24 Aug
dust213–10-0.0217%22 Aug
inferno13–70.0023%22 Aug
mirage13–20.1214%21 Aug
dust213–50.0226%21 Aug
dust27–13-0.0116%21 Aug
dust211–13-0.039%16 Aug
dust213–10.0813%14 Aug
dust29–13-0.0714%14 Aug
anubis13–50.0221%13 Aug
inferno9–130.0424%13 Aug
mirage7–13-0.0034%13 Aug
dust211–13-0.0221%11 Aug
dust213–10-0.0528%10 Aug
mirage7–13-0.0424%10 Aug
inferno7–13-0.0817%10 Aug
dust20–13-0.065%10 Aug
cache8–130.0120%9 Aug
inferno11–13-0.0914%9 Aug
dust23–13-0.0310%9 Aug
inferno13–100.0325%3 Aug
dust213–4-0.026%3 Aug
dust23–13-0.0219%3 Aug
dust213–3-0.0430%2 Aug
dust21–13-0.084%2 Aug
ancient13–10-0.0231%2 Aug
mirage4–13-0.0212%31 Jul
dust211–13-0.0435%31 Jul
dust213–9-0.0314%31 Jul
inferno0–13-0.0626%31 Jul
nuke8–130.0621%28 Jul
dust213–50.0716%27 Jul
inferno13–20.0225%25 Jul
inferno13–4-0.0017%25 Jul
cache9–13-0.0522%25 Jul
mirage13–10-0.0115%25 Jul
mirage13–110.0220%25 Jul
dust213–100.0218%25 Jul
inferno13–8-0.0526%24 Jul
nuke13–90.0322%24 Jul
dust213–40.0420%24 Jul
mirage2–130.0419%23 Jul
dust214–16-0.028%21 Jul
mirage11–130.0120%21 Jul
ancient13–9-0.0411%19 Jul
mirage13–8-0.0725%19 Jul
nuke3–13-0.126%19 Jul
anubis3–13-0.036%19 Jul
mirage13–11-0.0218%19 Jul
dust211–13-0.0213%19 Jul
dust211–130.0212%17 Jul
inferno13–110.0221%17 Jul
dust213–00.0513%17 Jul
inferno8–130.0410%16 Jul
inferno13–100.0220%12 Jul
dust216–120.0217%12 Jul
inferno4–130.0621%11 Jul
dust212–120.0613%11 Jul
cache13–8-0.0110%11 Jul
dust213–9-0.0012%11 Jul
dust27–13-0.059%11 Jul
dust27–13-0.0325%10 Jul
dust29–13-0.0523%10 Jul
dust213–60.0124%10 Jul
dust210–13-0.0219%7 Jul
dust210–130.0116%7 Jul
dust213–100.0214%3 Jul
cache13–8-0.0611%3 Jul
dust212–120.0119%3 Jul
dust212–12-0.0216%3 Jul
dust27–13-0.0117%16 Jun
dust24–13-0.0521%16 Jun
dust213–100.0311%13 Jun
inferno16–140.0520%13 Jun
ancient7–130.0714%13 Jun
inferno13–9-0.0120%12 Jun
overpass7–130.0213%12 Jun
cache13–2-0.0211%12 Jun
dust213–30.0638%12 Jun
dust213–160.0219%5 Jun
dust212–12-0.0019%4 Jun
overpass7–13-0.0514%4 Jun
dust26–13-0.0728%3 Jun
inferno13–11-0.0020%3 Jun
mirage3–13-0.0514%3 Jun
dust210–13-0.0017%3 Jun
dust213–40.1120%29 May
mirage13–110.0116%29 May
inferno11–13-0.0315%29 May
dust215–15-0.0024%26 May
dust213–80.0221%26 May
cache6–13-0.0123%23 May
mirage6–13-0.0020%23 May
dust213–3-0.0316%23 May

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 →