Nem tres bon

Nem tres bon — CS2 Stats

76561197961078886[U:1:813158]Steam profile ↗✓ No bans

1,150Tracked matches55%Win rate2020Tracked since
CSDB Rating5.5 SolidSupport
FaceitLevel 8 · 1,626 ELOTop 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Aug 2026 (26 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,626 → 1,626
+34Tracked matches · now 1,150
−6.9ppWin rate · 62.1% → 55.2%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 52 days played since 16 Jan 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 20,106 +511 16 Jan3 Jul · 18 days played
19,59521,612peak 21,61216 Jan3 Jul
21,612Peak Premier in tracked matches
1,626Highest Faceit ELO seen on CSDB
52Days played since 2026-01-16

Faceit ELO

  • At peak — 1,626
  • Next: Level 9 at 1,751 125 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-08-28
  • Level 7 first seen 2026-08-28

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.GGNem tres bonFACEITLevel 8 · 1,626 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,626csdb.gg/stats

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Performance scores

Aim67
Positioning53
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY54442Last 10054%Win rateLLWWLLWLTW

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · −2.6pp headshot accuracy · +41ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 566ms

Last 10

  • 451 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 576ms

Last 20

  • 9101 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 555ms

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: SupportUtility contribution stands above the rest of this profile (+1 against its own average).

Aim6.7
Utility5.5
Positioning5.3
Opening Duels3.3
Clutch3.8

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

NiKo

Plays most like NiKo 88% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Reaction time. 561ms 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

Aim6.7
Positioning5.3
Utility5.5
Mechanics5.8
Opening Duels3.3
Win Impact6.7

Composite 5.5/10 (Solid), 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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time583ms−28ms
first ⅓ avg 611ms → last ⅓ avg 583ms
Headshot accuracy13.9%+1.2%
first ⅓ avg 12.7% → last ⅓ avg 13.9%

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

0.15Best match rating · 13–4 · inferno, 6 Feb
29%Best headshot accuracy · 13–7 · dust2, 9 Sept
438msFastest reaction time · 13–6 · dust2, 18 Sept
13–2Biggest win · nuke, 30 Mar

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
1010In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 65% over 20ancientWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
dust2S2013765%-0.02
nukeA1912763%0.00
infernoA1810856%-0.02
mirageC146843%-0.02
ancientD134931%-0.01
overpassA74357%-0.03
cache43175%-0.03
anubis41325%-0.04
train110100%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

678Matches
52%Win rate
0.96Avg K/D
71.7ADR
38%Headshot %

Clutches & streaks

39%1v1 clutch win
18%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno10760%0.9314.7
Dust29349%0.8813.4
Nuke7368%0.9714.5
Ancient5347%0.9115.1
Mirage4542%0.8914.2
Anubis4035%0.9914.7
Train2654%0.9714.1
Overpass1436%0.9313.9

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.

14.2%Headshot accuracy
36.5%Accuracy (enemy spotted)
40.0%Spray accuracy
76.2%Counter-strafing
10.7°Preaim
561msReaction time
37.3%T opening success
48.9%CT opening success
0.52Enemies flashed / flash
8.5%Flash assists
12.32HE damage / grenade
5.91Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.2384% — below the 15% mark we flag

    Aim Training
  2. 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 37.333% — 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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust24–13-0.0513%22 Sept
ancient11–13-0.0015%22 Sept
inferno13–90.0416%20 Sept
dust213–7-0.0319%20 Sept
nuke10–130.0312%18 Sept
dust29–13-0.0417%18 Sept
dust213–6-0.0111%18 Sept
mirage11–13-0.065%10 Sept
inferno15–15-0.090%10 Sept
dust213–70.0029%9 Sept
ancient10–13-0.0312%8 Sept
dust25–13-0.0524%8 Sept
nuke13–10-0.0116%8 Sept
dust213–3-0.0215%8 Sept
cache13–4-0.0710%3 Sept
ancient10–13-0.0419%3 Sept
dust27–13-0.0914%3 Sept
nuke13–10-0.0218%1 Sept
inferno5–13-0.0723%1 Sept
inferno13–11-0.0113%31 Aug
anubis5–13-0.063%31 Aug
dust213–80.0315%20 Aug
mirage10–130.0213%20 Aug
cache13–11-0.0112%19 Aug
ancient13–80.0213%3 Jul
nuke13–11-0.029%2 Jul
dust213–4-0.0013%30 Jun
nuke13–110.0420%28 Jun
nuke13–110.0112%6 Jun
nuke10–130.0213%4 Jun
ancient11–13-0.0317%3 Jun
nuke17–190.0119%19 May
dust216–12-0.024%4 May
anubis6–13-0.0611%4 May
ancient6–130.0112%4 May
cache13–11-0.0519%29 Apr
cache12–120.0112%29 Apr
ancient14–16-0.019%29 Apr
mirage1–13-0.0920%29 Apr
mirage13–60.0213%28 Apr
mirage0–13-0.087%28 Apr
nuke13–5-0.035%22 Apr
dust213–50.1113%22 Apr
mirage13–110.0312%22 Apr
inferno13–80.0015%20 Apr
nuke9–13-0.0117%17 Apr
mirage16–140.0011%14 Apr
inferno13–100.009%2 Apr
ancient13–40.0720%2 Apr
dust213–10-0.0116%2 Apr
nuke11–13-0.0314%2 Apr
mirage13–40.0720%2 Apr
nuke13–10-0.0413%1 Apr
ancient13–70.0121%1 Apr
dust213–7-0.0710%31 Mar
nuke13–2-0.0112%30 Mar
inferno13–11-0.025%30 Mar
ancient9–13-0.0221%27 Mar
dust211–130.0111%26 Mar
overpass1–13-0.0714%26 Mar
inferno10–13-0.0313%25 Mar
inferno8–130.0016%25 Mar
overpass10–13-0.079%25 Mar
mirage13–16-0.018%25 Mar
nuke8–13-0.007%24 Mar
nuke13–20.0213%13 Mar
inferno7–13-0.097%13 Mar
overpass16–12-0.0116%26 Feb
ancient13–5-0.038%25 Feb
mirage6–13-0.087%24 Feb
dust213–40.0023%23 Feb
anubis9–13-0.0316%22 Feb
dust213–11-0.0114%22 Feb
nuke7–13-0.026%21 Feb
overpass13–60.023%21 Feb
inferno6–13-0.0813%21 Feb
inferno13–6-0.0416%20 Feb
inferno7–13-0.0127%20 Feb
inferno16–12-0.0411%19 Feb
inferno13–9-0.0110%19 Feb
mirage3–13-0.0620%18 Feb
overpass13–10-0.0410%18 Feb
dust21–13-0.1116%18 Feb
ancient11–130.0110%18 Feb
anubis13–9-0.0312%18 Feb
mirage8–13-0.0912%13 Feb
mirage13–3-0.0316%13 Feb
nuke13–30.096%12 Feb
inferno11–13-0.0218%12 Feb
mirage13–30.0314%9 Feb
nuke13–70.0711%6 Feb
overpass11–13-0.029%6 Feb
inferno13–40.1516%6 Feb
dust25–130.0211%5 Feb
ancient8–13-0.038%2 Feb
overpass13–8-0.037%30 Jan
train16–130.0213%16 Jan
nuke13–3-0.0215%16 Jan
inferno16–13-0.0515%16 Jan
dust213–100.0012%16 Jan

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 →