Nibzter

Nibzter — CS2 Stats

76561198201702235[U:1:241436507]Steam profile ↗✓ No bans

3,580Tracked matches67%Win rate2020Tracked since
CSDB Rating6.9 SolidSupport
Premier CS Rating24,723Top 25% of 205,416 CSDB-tracked playersPink band · top ~3.3% of ranked players (population est.)
CSDB Leaderboard#24915 of 252732 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (44 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 3,580 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 24,723 -1,256 4 Jul – 4 Sept · 14 days played
22,09526,168peak 26,1684 Jul4 Sept
26,611Peak Premier in tracked matches
2,791Highest Faceit ELO seen on CSDB
19Days played since 2026-07-04

Faceit ELO

  • At peak — 2,791
  • Next: 3,000 ELO at 3,000 — 209 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-09-04
  • Level 10 first seen 2026-09-04

Premier CS Rating

  • 1,445 below peak (26,168)
  • -227 over 30 days · steady
  • Next: Red band at 25,000 — 277 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-04
  • Purple band first seen 2026-09-04

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGNibzterPREMIER24,723 · Pink bandPEAK ELO2,791csdb.gg/stats

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Performance scores

Aim77
Positioning51
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY55–43–2Last 10055%Win rateLWLWLLWLWW

Last 10 vs previous 10: −30pp win rate · −0.04 avg rating · −6.2pp headshot accuracy · +98ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 614ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 586ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 537ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.8 against its own average).

Aim7.7
Utility7.0
Positioning5.1
Opening Duels4.1
Clutch4.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Twistzz

Plays most like Twistzz 82% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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 54% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.7
Positioning5.1
Utility7.0
Mechanics6.9
Opening Duels3.3
Win Impact10.0

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time519ms−35ms
first ⅓ avg 554ms → last ⅓ avg 519ms
Headshot accuracy19.9%−2.7%
first ⅓ avg 22.6% → last ⅓ avg 19.9%

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.

Personal bests

0.27Best match rating · 0–2 · nuke, 15 Jul →
100%Best headshot accuracy · 0–2 · nuke, 15 Jul →
320msFastest reaction time · 0–2 · nuke, 15 Jul →
13–0Biggest win · ancient, 9 Jul →

Across the last 100 tracked matches.

Highlights

10Longest win streak
6–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 70% over 10infernoWeakest map · 44% over 16
MapGradePlayedRecordWin rateAvg rating
ancientA1710–759%0.03
infernoC167–944%0.02
mirageB147–750%0.01
cacheB136–746%0.03
nukeB137–654%0.03
dust2A116–555%0.03
anubisS107–370%0.03
vertigo—22–0100%0.02
train—11–0100%0.03
boulder—11–0100%0.07
fachwerk—10–10%0.01
overpass—11–0100%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (44% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,476Matches
53%Win rate
1.06Avg K/D
83.5ADR
44%Headshot %

Clutches & streaks

42%1v1 clutch win
25%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient9166%1.2117.5
Mirage8452%1.1815.1
Anubis6261%1.2116.7
Dust24961%1.2216.8
Nuke4156%1.2117.2
Inferno4166%1.2416.5
Train2450%1.0615.2
Overpass2378%1.3118.2

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.

19.8%Headshot accuracy
33.2%Accuracy (enemy spotted)
42.4%Spray accuracy
81.0%Counter-strafing
10.5°Preaim
528msReaction time
32.9%T opening success
53.5%CT opening success
0.59Enemies flashed / flash
14.0%Flash assists
11.34HE damage / grenade
9.12Flashes / 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 32.8773% — 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.

44% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–130.0217%21 Aug →
ancient13–90.0013%21 Aug →
cache2–130.049%21 Aug →
dust213–80.0115%21 Aug →
inferno9–13-0.0316%18 Aug →
ancient5–13-0.0415%9 Aug →
anubis13–11-0.0314%1 Aug →
mirage5–13-0.0415%1 Aug →
ancient13–2-0.0322%1 Aug →
nuke5–1-0.027%1 Aug →
mirage8–130.0120%28 Jul →
vertigo13–9-0.0125%22 Jul →
nuke13–80.0825%22 Jul →
anubis13–11-0.0328%22 Jul →
ancient13–50.0722%22 Jul →
inferno13–40.0917%22 Jul →
mirage8–13-0.0218%22 Jul →
anubis22–19-0.0119%21 Jul →
ancient13–90.019%21 Jul →
ancient13–20.0722%21 Jul →
nuke13–3-0.0416%21 Jul →
mirage13–100.0122%21 Jul →
nuke16–120.0930%21 Jul →
train13–60.0327%21 Jul →
mirage13–70.0218%20 Jul →
anubis13–40.0625%20 Jul →
mirage13–9-0.0114%20 Jul →
nuke10–130.0522%20 Jul →
mirage1–8-0.0363%20 Jul →
nuke1–5-0.0833%16 Jul →
inferno13–70.0215%16 Jul →
inferno13–30.0611%16 Jul →
inferno13–110.0514%16 Jul →
boulder13–10.0729%16 Jul →
fachwerk12–120.0119%16 Jul →
mirage7–13-0.0713%16 Jul →
nuke0–3-0.090%16 Jul →
dust22–13-0.0455%16 Jul →
dust213–40.1719%16 Jul →
anubis2–13-0.0817%16 Jul →
dust27–13-0.0221%15 Jul →
dust211–130.0231%15 Jul →
mirage13–70.0819%15 Jul →
ancient13–60.0310%15 Jul →
dust216–120.0116%15 Jul →
nuke9–10.0328%15 Jul →
cache13–2-0.0615%15 Jul →
nuke13–40.1223%15 Jul →
cache13–40.0816%15 Jul →
nuke0–20.27100%15 Jul →
dust213–90.0122%15 Jul →
cache13–110.0224%14 Jul →
ancient10–13-0.0522%14 Jul →
cache13–7-0.0120%14 Jul →
inferno13–90.0217%13 Jul →
anubis9–130.0616%13 Jul →
anubis13–110.0626%13 Jul →
anubis13–90.0928%12 Jul →
cache15–150.0522%12 Jul →
inferno10–130.0518%12 Jul →
mirage7–13-0.0039%12 Jul →
inferno11–13-0.0121%12 Jul →
ancient13–70.0118%12 Jul →
cache13–30.1414%11 Jul →
ancient13–80.1016%11 Jul →
nuke0–13-0.050%11 Jul →
dust26–13-0.0011%11 Jul →
inferno8–130.0123%11 Jul →
ancient9–130.0016%10 Jul →
anubis12–160.0217%10 Jul →
mirage13–9-0.0012%10 Jul →
inferno8–130.0014%10 Jul →
inferno3–13-0.0719%10 Jul →
dust213–40.0835%10 Jul →
inferno13–50.0534%10 Jul →
dust28–130.0114%9 Jul →
ancient11–130.0425%9 Jul →
anubis13–10.2025%9 Jul →
ancient13–00.1420%9 Jul →
ancient13–40.1424%9 Jul →
mirage5–130.0226%9 Jul →
ancient8–130.0319%9 Jul →
cache10–130.0423%9 Jul →
mirage16–130.0118%9 Jul →
dust213–100.0829%7 Jul →
vertigo13–100.0427%7 Jul →
cache11–130.0223%7 Jul →
cache6–13-0.0219%7 Jul →
inferno11–130.0126%6 Jul →
inferno13–11-0.0127%6 Jul →
nuke5–13-0.0317%6 Jul →
cache6–130.0621%6 Jul →
cache9–130.0129%4 Jul →
cache13–20.0623%4 Jul →
ancient7–130.0024%4 Jul →
nuke13–80.0518%4 Jul →
ancient6–130.0317%4 Jul →
inferno9–130.0721%4 Jul →
mirage13–00.1438%4 Jul →
overpass13–60.0422%4 Jul →

Match data via Leetify.

Recent teammates

Milestones

2.5K ELO1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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