nabero

nabero — CS2 Stats

PT76561198086514354[U:1:126248626]Steam profile ↗✓ No bans

1,006Tracked matches59%Win rate2020Tracked since
8,314Hours in CS
CSDB Rating5.7 SolidSupport
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (52 days ago). Ranks are recorded once per day this page is viewed.

+23Tracked matches · now 1,006
−2.9ppWin rate · 61.5% → 58.6%

Rating over time

Premier CS Rating: 19,600 -399 3 Mar – 6 Jul · 16 days played
18,44824,970peak 24,9703 Mar6 Jul
24,970Peak Premier in tracked matches
50Days played since 2025-03-03

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim60
Positioning52
Utility56

0–100 skill scores via Leetify.

Recent form

COLD53–39–8Last 10053%Win rateWWLLWLLTLL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −0.7pp headshot accuracy · +10ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 605ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 578ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 573ms

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).

Aim6.0
Utility5.6
Positioning5.2
Opening Duels2.1
Clutch2.2

Effective flashes

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

ZywOo

Plays most like ZywOo 81% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

CT openings. Opening success drops from 59% on T to 34% on CT — first contacts on the defending side are being lost.

Reaction time. 635ms 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

Aim6.0
Positioning5.2
Utility5.6
Mechanics5.4
Opening Duels4.1
Win Impact7.9

Composite 5.7/10 (Solid), 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 rating0.02+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time626ms−31ms
first ⅓ avg 657ms → last ⅓ avg 626ms
Headshot accuracy16.2%−2.7%
first ⅓ avg 18.8% → last ⅓ avg 16.2%

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.

Personal bests

0.12Best match rating · 13–1 · mirage, 12 Oct →
43%Best headshot accuracy · 13–1 · dust2, 21 Mar →
398msFastest reaction time · 13–6 · mirage, 10 Oct →
13–1Biggest win · mirage, 12 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
6–5In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 67% over 6nukeWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB2010–1050%-0.01
ancientA1911–858%-0.00
dust2C188–1044%-0.01
anubisA148–657%-0.01
nukeD93–633%0.00
infernoS64–267%-0.00
trainS64–267%0.03
cacheC52–340%0.03
overpass—11–0100%0.00
vertigo—11–0100%-0.02
grail—11–0100%0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

322,548Lifetime kills
0.72K/D
13,472Matches
40.2%Match win rate
55.4%Headshot % · Top 10% of tracked players
16.8%Shot accuracy · Top 25% of tracked players
23,475MVPs
8,314Hours (in match)
15,515Bombs planted
3,686Bombs defused

Most-used weapons

AK-47155,174
AWP27,785
P2505,895
FAMAS3,509
Knife3,399
Tec-93,309

Lifetime map wins

13,919inferno
13,035dust2
10,897train
9,337nuke
4,741vertigo
4,547cbble
437office
298assault

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

Faceit stats

Combat

3,830Matches
51%Win rate
0.96Avg K/D
71.1ADR
43%Headshot %

Clutches & streaks

31%1v1 clutch win
26%1v2 clutch win
19Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient1741%0.9113.5
Mirage1553%1.0914.3
Anubis1250%1.2014.3
Dust2743%0.8714.3
Overpass450%0.9417.8
Inferno3100%1.3813.0
Vertigo2100%1.4610.5
Nuke250%1.2519.5

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.

15.8%Headshot accuracy
36.0%Accuracy (enemy spotted)
38.2%Spray accuracy
74.1%Counter-strafing
10.2°Preaim
635msReaction time
58.7%T opening success
34.3%CT opening success
0.71Enemies flashed / flash
4.4%Flash assists
8.33HE damage / grenade
10.55Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 34.2614% — below the 40% mark we flag

Spend your practice time on Nuke

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–70.0321%20 Oct →
anubis13–10-0.047%18 Oct →
anubis1–130.0131%18 Oct →
nuke8–130.1120%17 Oct →
mirage13–4-0.0120%17 Oct →
ancient14–160.057%17 Oct →
ancient7–13-0.014%16 Oct →
dust215–150.0111%13 Oct →
mirage8–13-0.0415%13 Oct →
cache7–13-0.0113%12 Oct →
train13–60.0614%12 Oct →
mirage13–10.1214%12 Oct →
nuke13–10-0.0013%11 Oct →
inferno13–80.0226%11 Oct →
mirage7–130.0213%10 Oct →
dust212–16-0.0114%10 Oct →
mirage13–6-0.0216%10 Oct →
dust213–70.0722%10 Oct →
dust210–13-0.0713%27 Sept →
cache6–130.0111%27 Sept →
cache13–80.0716%23 Sept →
dust213–100.0522%23 Sept →
cache11–130.0120%29 Apr →
cache13–50.0729%29 Apr →
mirage13–100.0317%29 Mar →
ancient16–13-0.0217%29 Mar →
inferno13–80.0221%29 Mar →
mirage6–13-0.0615%29 Mar →
mirage13–100.0613%5 Mar →
anubis13–50.0110%4 Mar →
nuke15–15-0.0212%22 Jan →
mirage7–130.0015%22 Jan →
ancient13–11-0.0121%22 Jan →
ancient12–120.0128%21 Jan →
anubis13–8-0.039%21 Jan →
train10–13-0.0424%18 Jan →
overpass13–80.0028%18 Jan →
vertigo13–9-0.0235%17 Jan →
dust21–13-0.0742%17 Jan →
ancient13–80.0518%17 Jan →
dust212–120.0121%22 Aug →
train6–13-0.0213%22 Aug →
nuke15–15-0.0313%2 Aug →
dust28–13-0.0810%31 Jul →
dust213–8-0.0625%6 Jul →
anubis11–13-0.0522%5 Jul →
ancient13–50.0324%5 Jul →
train13–100.0315%5 Jul →
ancient13–8-0.0420%5 Jul →
nuke10–130.0218%5 Jul →
anubis13–16-0.0225%4 Jul →
nuke13–90.0120%3 Jul →
inferno10–13-0.0121%1 Jul →
inferno14–16-0.0220%30 Jun →
train13–4-0.0014%30 Jun →
anubis12–12-0.0310%27 Jun →
ancient6–13-0.0217%26 Jun →
mirage2–13-0.0130%24 Jun →
dust213–80.0517%23 Jun →
mirage4–13-0.1115%12 May →
grail13–70.0718%12 May →
mirage13–2-0.019%7 May →
dust24–13-0.0813%7 May →
mirage8–130.0317%28 Apr →
ancient3–13-0.0615%28 Apr →
mirage3–13-0.0121%23 Apr →
dust213–6-0.0216%23 Apr →
nuke8–13-0.0233%23 Apr →
anubis13–5-0.058%3 Apr →
dust213–11-0.0121%3 Apr →
anubis13–70.0619%2 Apr →
dust212–12-0.0120%1 Apr →
nuke4–13-0.0228%30 Mar →
ancient6–13-0.0213%29 Mar →
ancient13–11-0.0519%29 Mar →
mirage13–10-0.0816%29 Mar →
dust213–50.0621%29 Mar →
mirage6–13-0.1513%29 Mar →
dust213–1-0.0143%21 Mar →
ancient13–70.0216%20 Mar →
anubis13–60.0211%20 Mar →
dust28–13-0.058%19 Mar →
train13–30.1231%18 Mar →
ancient13–10-0.0214%18 Mar →
dust26–13-0.0317%12 Mar →
ancient13–70.0524%12 Mar →
mirage13–20.0418%12 Mar →
mirage13–5-0.0419%11 Mar →
anubis11–13-0.0113%11 Mar →
anubis13–11-0.0410%10 Mar →
ancient10–13-0.0215%9 Mar →
anubis10–130.0137%9 Mar →
ancient13–5-0.0111%9 Mar →
mirage7–13-0.0411%9 Mar →
mirage13–5-0.0222%5 Mar →
ancient15–15-0.0213%5 Mar →
nuke16–14-0.0120%5 Mar →
anubis13–11-0.0118%5 Mar →
ancient13–70.0419%5 Mar →
inferno13–9-0.0521%3 Mar →

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 →

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