,her@noob

,her@noob — CS2 Stats

76561197978023014[U:1:17757286]Steam profile ↗

1,358Tracked matches55%Win rate2020Tracked since
CSDB Rating3.8 Learning
Premier CS Rating13,804Blue band · top ~34.7% of ranked players (population est.)
CSDB Leaderboard#21378 of 32545 tracked
Ladder ranks via Leetify

Share this profile

CSDB.GG,her@noobPREMIER13,804 · Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim34
Positioning37
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY51472Last 10051%Win rateLWLLWWLTWL

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

Player DNA

Aim3.4
Aggression3.9
Utility5.4
Positioning3.7
Opening Duels1.1

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: opening-duel success, utility contribution.

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

Reaction time. 695ms 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

Aim3.4
Positioning3.7
Utility5.4
Mechanics4.5
Opening Duels1.1
Win Impact6.7

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time709ms−30ms
first ⅓ avg 739ms → last ⅓ avg 709ms
Headshot accuracy15.0%−3.2%
first ⅓ avg 18.2% → last ⅓ avg 15.0%

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

0.09Best rating — inferno 13–2
131Biggest win — inferno
4Longest win streak
87In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 60% over 5ancientWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
infernoB22111150%-0.01
nukeA1710759%-0.01
dust2A1710759%-0.02
mirageA148657%-0.03
ancientD113827%-0.04
anubisC104640%-0.03
cacheA53260%-0.01
overpass42250%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient 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.

15.1%Headshot accuracy
32.1%Accuracy (enemy spotted)
31.2%Spray accuracy
70.2%Counter-strafing
11.6°Preaim
695msReaction time
34.0%T opening success
34.7%CT opening success
0.60Enemies flashed / flash
6.2%Flash assists
8.38HE damage / grenade
5.79Flashes / 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 33.9911% — below the 40% mark we flag

Spend your practice time on Ancient

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.0913%28 Aug
nuke13–110.0335%28 Aug
dust28–13-0.0924%25 Aug
ancient7–13-0.0426%13 Aug
dust213–90.0720%12 Aug
nuke13–60.0117%11 Aug
anubis10–13-0.0513%11 Aug
inferno15–15-0.0314%11 Aug
ancient13–5-0.045%8 Aug
ancient4–11-0.0011%8 Aug
inferno2–9-0.050%8 Aug
inferno13–70.0418%4 Aug
cache13–60.0614%4 Aug
dust213–6-0.0316%4 Aug
anubis13–7-0.075%3 Aug
mirage11–13-0.0410%3 Aug
dust213–90.0012%3 Aug
inferno8–130.0213%3 Aug
inferno2–50.0130%3 Aug
cache13–8-0.1116%1 Aug
anubis13–60.0019%1 Aug
cache16–14-0.0116%1 Aug
ancient6–13-0.0815%31 Jul
mirage13–11-0.0217%31 Jul
dust213–40.0314%30 Jul
ancient5–13-0.058%29 Jul
dust26–13-0.0518%29 Jul
anubis2–13-0.0911%29 Jul
inferno13–70.0211%29 Jul
mirage13–70.0112%29 Jul
mirage2–7-0.0310%29 Jul
inferno13–10.027%28 Jul
dust214–16-0.0527%27 Jul
nuke13–100.0320%25 Jul
ancient13–5-0.0113%25 Jul
inferno16–14-0.0022%21 Jul
ancient13–50.0522%21 Jul
ancient9–13-0.019%21 Jul
nuke13–100.0113%20 Jul
inferno13–40.0614%19 Jul
nuke13–70.0218%19 Jul
mirage11–13-0.0427%19 Jul
dust28–130.0020%19 Jul
mirage13–8-0.0622%19 Jul
anubis9–13-0.039%19 Jul
inferno10–130.019%17 Jul
inferno0–8-0.0725%17 Jul
nuke9–13-0.0513%16 Jul
cache4–13-0.0125%16 Jul
anubis15–15-0.0310%16 Jul
dust213–6-0.0519%16 Jul
mirage13–10-0.0315%16 Jul
mirage11–13-0.0522%16 Jul
nuke10–13-0.0212%16 Jul
ancient9–13-0.087%15 Jul
dust213–30.0325%14 Jul
mirage13–11-0.0627%14 Jul
dust213–9-0.0618%14 Jul
dust214–16-0.0212%14 Jul
mirage13–1-0.0512%14 Jul
dust213–80.0115%13 Jul
nuke13–6-0.047%13 Jul
nuke13–11-0.0217%12 Jul
ancient9–13-0.096%11 Jul
ancient14–16-0.0812%10 Jul
mirage13–100.0025%10 Jul
dust27–13-0.0812%10 Jul
nuke10–13-0.0613%9 Jul
inferno13–20.0910%9 Jul
nuke10–13-0.0419%3 Jul
nuke13–16-0.0522%3 Jul
dust213–11-0.0121%3 Jul
overpass5–130.0518%2 Jul
inferno5–130.0114%2 Jul
inferno13–11-0.047%20 Jun
nuke2–13-0.0114%20 Jun
dust213–4-0.0719%16 Jun
overpass13–60.0520%16 Jun
inferno6–13-0.0019%16 Jun
mirage10–13-0.0314%16 Jun
anubis13–8-0.0421%13 Jun
anubis13–40.0725%12 Jun
inferno13–80.0616%12 Jun
overpass8–13-0.0216%12 Jun
inferno10–13-0.0117%2 Jun
inferno13–60.0312%27 May
mirage13–80.0014%27 May
dust28–13-0.0622%27 May
nuke16–120.0519%24 May
nuke16–130.0229%23 May
anubis7–13-0.0616%19 May
inferno13–3-0.0314%19 May
nuke13–60.0228%13 May
inferno1–13-0.0729%13 May
cache9–130.0014%13 May
nuke7–9-0.1114%13 May
inferno3–9-0.1518%13 May
overpass13–80.0236%9 May
anubis8–13-0.038%5 May
inferno13–5-0.0424%5 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 →