NiblaNoss #5

NiblaNoss #5 — CS2 Stats

SE76561198113935269[U:1:153669541]Steam profile ↗

2,270Tracked matches50%Win rate2021Tracked since
3,887Hours in CS15Hrs last 2 wks
CSDB Rating4.5 Developing
FaceitLevel 9 · 1,913 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,892), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate48.6%48.5%51.9%3.3% short
Shot accuracy13.1%13.3%13.7%0.6% short
Kill/death ratio1.011.071.080.07 short
Match win rate47.7%47.0%48.7%meets

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGNiblaNoss #5FACEITLevel 9 · 1,913 ELOSTANDINGTop 20.7% of rankedcsdb.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

Aim59
Positioning31
Utility59

0–100 skill scores via Leetify.

Recent form

COLD52462Last 10052%Win rateLWWLWLLLLL

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

Player DNA

Aim5.9
Aggression1.1
Utility5.9
Positioning3.1
Opening Duels0.0
Clutch3.6

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 71% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim 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

T-side openings. Opening success drops from 31% on CT to 14% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 622ms 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

Aim5.9
Positioning3.1
Utility5.9
Mechanics6.2
Opening Duels0.1
Win Impact5.0

Composite 4.5/10 (Developing), 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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time622ms−36ms
first ⅓ avg 658ms → last ⅓ avg 622ms
Headshot accuracy26.2%+1.0%
first ⅓ avg 25.2% → last ⅓ avg 26.2%

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

0.08Best rating — anubis 13–2
132Biggest win — anubis
5Longest win streak
811In matches decided by ≤2 rounds
15Overtime games

Map breakdown

cacheBest map · 68% over 19infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
cacheS1913668%-0.03
mirageA159660%-0.02
ancientA149564%0.00
dust2C135838%-0.01
anubisD134931%-0.03
nukeB137654%-0.02
infernoD72529%-0.04
boulder41325%-0.01
office220100%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

91,046Lifetime kills
1.01K/D
5,238Matches
47.7%Match win rate · Top 50% of Level 9 players
48.6%Headshot % · Top 50% of Level 9 players
13.1%Shot accuracy
10,904MVPs
2,187Hours (in match)
9,494Bombs planted
1,372Bombs defused

Most-used weapons

AK-4726,560
AWP6,290
P2503,668
Knife2,594
Tec-92,174

Lifetime map wins

7,959nuke
7,595inferno
7,479dust2
2,168vertigo
1,819cbble
1,503train
163office
107bank

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

Faceit stats

Combat

2,653Matches
51%Win rate
0.88Avg K/D
60.3ADR
53%Headshot %

Clutches & streaks

38%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Nuke31059%1.0212.5
Ancient26451%0.8612.1
Anubis23649%0.8612.3
Mirage21445%0.7511.1
Dust219145%0.7811.4
Inferno11447%0.8412.3
Vertigo7450%0.8912.6
Overpass6949%0.8412.5

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.

25.9%Headshot accuracy
29.3%Accuracy (enemy spotted)
33.0%Spray accuracy
77.9%Counter-strafing
11.6°Preaim
622msReaction time
14.0%T opening success
30.6%CT opening success
0.52Enemies flashed / flash
2.9%Flash assists
10.60HE damage / grenade
10.19Flashes / 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 14.0076% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache4–13-0.0624%28 Aug
inferno13–100.0331%28 Aug
ancient13–60.0419%23 Aug
mirage11–13-0.0321%23 Aug
cache13–7-0.0446%22 Aug
cache10–13-0.0229%21 Aug
dust211–13-0.0814%7 Aug
inferno3–13-0.0423%7 Aug
anubis11–13-0.0318%7 Aug
ancient7–13-0.059%6 Aug
dust214–16-0.0617%6 Aug
nuke10–13-0.0538%6 Aug
cache13–8-0.0632%6 Aug
mirage4–13-0.0030%6 Aug
cache10–13-0.0322%5 Aug
mirage2–13-0.0514%5 Aug
dust213–16-0.0329%5 Aug
nuke13–9-0.0323%5 Aug
ancient13–9-0.0115%4 Aug
mirage13–9-0.0035%4 Aug
nuke13–8-0.0119%4 Aug
mirage16–14-0.0422%2 Aug
nuke1–13-0.0733%2 Aug
dust213–9-0.0312%2 Aug
cache13–11-0.0425%2 Aug
mirage13–9-0.0867%2 Aug
cache13–70.0223%2 Aug
dust216–13-0.0026%31 Jul
ancient9–13-0.0129%31 Jul
ancient13–40.0341%31 Jul
anubis4–13-0.0915%31 Jul
dust216–130.0335%31 Jul
anubis2–13-0.0731%30 Jul
nuke8–13-0.059%30 Jul
ancient13–5-0.0120%30 Jul
cache4–13-0.0644%30 Jul
cache8–13-0.0612%29 Jul
cache13–8-0.0227%29 Jul
mirage13–10-0.048%29 Jul
cache13–10-0.0423%28 Jul
ancient1–13-0.0523%28 Jul
cache16–14-0.0221%28 Jul
anubis13–90.0117%27 Jul
mirage7–13-0.0424%27 Jul
nuke13–3-0.0228%27 Jul
anubis15–19-0.0722%27 Jul
dust28–130.0533%27 Jul
ancient13–110.0644%26 Jul
ancient13–10-0.0128%26 Jul
dust24–130.0343%26 Jul
nuke7–13-0.0431%26 Jul
anubis13–20.0830%26 Jul
mirage11–13-0.0533%25 Jul
dust213–40.0725%25 Jul
cache16–14-0.069%25 Jul
nuke6–13-0.0729%25 Jul
inferno16–13-0.0231%23 Jul
anubis9–13-0.0621%23 Jul
anubis13–40.0425%23 Jul
mirage13–100.0124%21 Jul
mirage13–90.0121%21 Jul
dust213–90.0026%21 Jul
inferno2–13-0.1033%21 Jul
nuke13–30.0742%21 Jul
ancient13–80.0231%21 Jul
anubis11–130.0319%21 Jul
boulder11–130.0119%21 Jul
mirage13–10-0.0432%18 Jul
nuke13–8-0.0018%18 Jul
ancient15–190.0432%18 Jul
cache16–130.0216%18 Jul
cache13–70.0232%18 Jul
cache2–13-0.0548%18 Jul
anubis6–13-0.0524%18 Jul
inferno3–13-0.0415%17 Jul
cache13–40.0633%17 Jul
ancient13–10-0.0215%17 Jul
mirage14–16-0.0222%17 Jul
nuke13–9-0.0024%17 Jul
nuke13–10-0.0332%17 Jul
boulder12–120.0224%17 Jul
boulder13–11-0.0038%17 Jul
boulder12–12-0.0718%12 Jul
office13–9-0.0518%11 Jul
office13–80.0633%11 Jul
inferno10–13-0.0727%10 Jul
nuke8–13-0.0029%10 Jul
dust25–13-0.0339%10 Jul
mirage13–7-0.0125%10 Jul
anubis11–13-0.0425%10 Jul
mirage13–80.0224%10 Jul
ancient13–110.0218%10 Jul
dust214–160.0023%4 Jul
cache13–7-0.0722%4 Jul
ancient16–19-0.0320%4 Jul
cache13–8-0.0016%4 Jul
inferno6–13-0.0433%4 Jul
anubis2–13-0.0613%4 Jul
anubis19–17-0.0431%3 Jul
dust211–13-0.0612%3 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 →