Nago

Nago — CS2 Stats

US76561198235692758[U:1:275427030]Steam profile ↗✓ No bans

314Tracked matches59%Win rate2021Tracked since
CSDB Rating5.8 SolidPositional Player
Premier CS Rating12,693Blue band · top ~40.6% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2025 (379 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 12,693 +1,393 18 Aug – 4 Oct · 21 days played
11,30013,653peak 13,65318 Aug4 Oct
13,797Peak Premier in tracked matches
28Days played since 2025-08-18

Premier CS Rating

  • 960 below peak (13,653)
  • +211 over 30 days · steady
  • Next: Purple band at 15,000 — 2,307 to go
  • Reached: Blue band · Light Blue band

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

Share this profile

CSDB.GGNagoFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER12,693 · Blue bandcsdb.gg/stats

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Performance scores

Aim68
Positioning62
Utility28

0–100 skill scores via Leetify.

Recent form

HOT62–32–6Last 10062%Win rateWLWWWWWLWL

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating · +8.4pp headshot accuracy · +10ms reaction

Win rate up 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

  • 4–1 · 80% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 26%
  • Avg reaction 652ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 23%
  • Avg reaction 702ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 697ms

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: Positional Player — Positioning stands above the rest of this profile (+2.9 against its own average).

Aim6.8
Utility2.8
Positioning6.2
Opening Duels4.1
Clutch0.0

Strong CT-side opener

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

s1mple

Plays most like s1mple 88% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

Strengths

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 60% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 703ms 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

Aim6.8
Positioning6.2
Utility2.8
Mechanics8.1
Opening Duels3.8
Win Impact7.9

Composite 5.8/10 (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 rating0.04−0.01
first ⅓ avg 0.05 → last ⅓ avg 0.04
Reaction time684ms−6ms
first ⅓ avg 690ms → last ⅓ avg 684ms
Headshot accuracy18.8%−0.5%
first ⅓ avg 19.3% → last ⅓ avg 18.8%

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

0.24Best match rating · 13–4 · inferno, 20 Jan →
44%Best headshot accuracy · 12–12 · inferno, 22 Aug →
539msFastest reaction time · 13–4 · inferno, 20 Jan →
13–1Biggest win · nuke, 17 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
7–4In matches decided by ≤2 rounds
5Overtime games

Map breakdown

dust2Best map · 73% over 22ancientWeakest map · 50% over 16
MapGradePlayedRecordWin rateAvg rating
dust2S2216–673%0.05
mirageA2214–864%0.03
ancientB168–850%0.03
nukeS139–469%0.05
infernoB105–550%0.06
trainA85–363%0.03
overpassA74–357%0.01
vertigo—11–0100%0.07
office—10–10%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (50% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5Matches
40%Win rate
0.94Avg K/D
78.2ADR
46%Headshot %

Clutches & streaks

0%1v1 clutch win
20%1v2 clutch win
1Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage250%0.8411.0
Nuke10%0.9416.0
Ancient1100%1.2510.0
Dust210%0.8012.0

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.

19.2%Headshot accuracy
35.9%Accuracy (enemy spotted)
35.8%Spray accuracy
86.5%Counter-strafing
9.4°Preaim
703msReaction time
30.7%T opening success
60.0%CT opening success
0.63Enemies flashed / flash
3.0%Flash assists
8.83HE damage / grenade
11.28Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 703.3925ms — above the 700ms 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 30.7451% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
dust213–70.0222%20 Jan →
ancient1–8-0.0621%20 Jan →
inferno13–40.2437%20 Jan →
dust213–40.0416%20 Jan →
ancient13–20.1336%20 Jan →
mirage13–110.0621%20 Jan →
inferno13–20.0518%11 Oct →
mirage10–130.0319%4 Oct →
overpass13–70.0516%4 Oct →
mirage9–130.0420%1 Oct →
nuke7–130.009%1 Oct →
ancient11–130.0517%1 Oct →
overpass15–150.0311%30 Sept →
nuke2–00.000%30 Sept →
inferno1–13-0.0113%27 Sept →
mirage13–40.0713%27 Sept →
mirage13–3-0.0125%27 Sept →
mirage13–50.0815%27 Sept →
inferno10–13-0.0220%26 Sept →
dust29–130.0318%26 Sept →
vertigo13–80.0722%22 Sept →
ancient10–130.0329%22 Sept →
train4–130.0019%22 Sept →
ancient13–70.1423%22 Sept →
mirage11–130.0013%22 Sept →
mirage13–80.0813%22 Sept →
ancient13–110.0221%22 Sept →
mirage13–9-0.0126%22 Sept →
inferno10–130.0313%22 Sept →
nuke13–100.0719%18 Sept →
ancient13–80.0514%18 Sept →
dust24–13-0.0015%17 Sept →
mirage5–13-0.0125%17 Sept →
nuke13–10.0411%17 Sept →
mirage13–50.0112%16 Sept →
train15–150.0121%16 Sept →
mirage13–70.0518%16 Sept →
train13–80.0421%14 Sept →
dust213–60.0521%14 Sept →
overpass5–13-0.0726%12 Sept →
train13–30.0436%12 Sept →
dust213–10-0.0522%10 Sept →
dust213–100.2032%10 Sept →
office6–130.0126%6 Sept →
mirage13–60.0626%6 Sept →
ancient6–13-0.0225%6 Sept →
dust213–20.0527%6 Sept →
mirage6–13-0.0419%1 Sept →
ancient15–150.0218%1 Sept →
dust212–120.0422%1 Sept →
mirage13–80.0417%31 Aug →
ancient11–13-0.0316%31 Aug →
train13–90.0022%31 Aug →
overpass13–11-0.0417%30 Aug →
mirage7–13-0.049%30 Aug →
ancient13–90.0313%30 Aug →
train7–130.0130%30 Aug →
ancient5–13-0.0018%30 Aug →
mirage13–90.0214%29 Aug →
nuke13–80.0612%29 Aug →
nuke13–50.1019%29 Aug →
dust213–40.0317%27 Aug →
ancient13–110.0112%27 Aug →
inferno9–50.019%27 Aug →
dust213–6-0.0113%26 Aug →
dust213–90.0315%26 Aug →
dust211–130.1419%26 Aug →
mirage13–30.0818%26 Aug →
dust213–90.0413%25 Aug →
overpass6–13-0.0413%25 Aug →
ancient10–13-0.0221%25 Aug →
mirage12–16-0.0119%24 Aug →
nuke6–00.0830%24 Aug →
inferno13–100.0914%24 Aug →
nuke9–130.1021%24 Aug →
overpass13–70.0812%24 Aug →
mirage13–100.0511%24 Aug →
overpass16–140.0318%24 Aug →
dust213–50.1120%24 Aug →
inferno10–130.0027%24 Aug →
dust213–5-0.0121%23 Aug →
inferno13–40.1126%23 Aug →
inferno12–120.0944%22 Aug →
mirage13–60.1319%22 Aug →
dust213–40.0026%22 Aug →
nuke4–130.0215%22 Aug →
nuke9–10.1114%20 Aug →
dust212–120.0321%20 Aug →
nuke13–70.0315%20 Aug →
ancient13–100.0211%19 Aug →
dust213–80.0926%19 Aug →
mirage9–130.0210%19 Aug →
dust29–13-0.0513%18 Aug →
nuke3–13-0.0918%18 Aug →
train13–60.0328%18 Aug →
dust213–80.1120%18 Aug →
ancient13–80.0718%18 Aug →
train13–20.0818%18 Aug →
nuke13–110.1419%18 Aug →
dust213–90.1418%18 Aug →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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