narguto

narguto — CS2 Stats

CA76561198084141461[U:1:123875733]Steam profile ↗✓ No bans

975Tracked matches59%Win rate2020Tracked since
2,542Hours in CS14Hrs last 2 wks
CSDB Rating6.3 SolidPositional Player
Ladder ranks via Leetify

Performance scores

Aim70
Positioning79
Utility8

0–100 skill scores via Leetify.

Recent form

COLD52–39–9Last 10052%Win rateWLLTLWLWTL

Last 10 vs previous 10: −30pp win rate · +0.03 avg rating · +2.4pp headshot accuracy · +50ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 556ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 555ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 530ms

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 (+2.4 against its own average).

Aim7.0
Utility0.8
Positioning7.9
Opening Duels7.7

Limited utility dependence

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 54% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

T openings. 77% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 77% on T to 59% on CT — first contacts on the defending side are being lost.

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

Aim7.0
Positioning7.9
Utility0.8
Mechanics5.3
Opening Duels8.6
Win Impact8.1

Composite 6.3/10 (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+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time529ms−6ms
first ⅓ avg 535ms → last ⅓ avg 529ms
Headshot accuracy18.2%−1.7%
first ⅓ avg 19.9% → last ⅓ avg 18.2%

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

0.18Best match rating · 13–6 · nuke, 21 Sept →
100%Best headshot accuracy · 13–1 · nuke, 15 Sept →
328msFastest reaction time · 13–1 · nuke, 15 Sept →
13–1Biggest win · nuke, 15 Sept →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

nukeBest map · 53% over 51dust2Weakest map · 50% over 42
MapGradePlayedRecordWin rateAvg rating
nukeB5127–2453%0.01
dust2B4221–2150%0.02
office—43–175%0.01
mirage—11–0100%0.07
italy—10–10%-0.02
inferno—10–10%0.11

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (50% over 42). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

67,724Lifetime kills
0.97K/D
11,041Matches
79.3%Match win rate · Top 1% of tracked players
32.1%Headshot %
19.1%Shot accuracy · Top 10% of tracked players
9,721MVPs
1,435Hours (in match)
1,987Bombs planted
673Bombs defused

Most-used weapons

AWP17,591
AK-479,076
MAG-72,555
SSG 082,196
XM10141,962
P901,951
Knife1,906

Lifetime map wins

12,220nuke
10,552dust2
3,069office
1,316inferno
620vertigo
517italy
260train
220lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.9%Headshot accuracy
37.2%Accuracy (enemy spotted)
40.2%Spray accuracy
73.7%Counter-strafing
12.2°Preaim
533msReaction time
77.3%T opening success
58.9%CT opening success
0.16Enemies flashed / flash
1.5%Flash assists
7.26HE damage / grenade
0.57Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.2245° — above the 12° mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.1618 — below the 0.5 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–80.0617%3 Nov →
nuke6–130.0417%3 Nov →
dust210–130.0125%3 Nov →
nuke12–120.0724%1 Nov →
nuke5–130.0315%30 Oct →
dust213–40.0815%30 Oct →
dust27–130.0220%28 Oct →
nuke13–10-0.0355%28 Oct →
dust212–12-0.0110%27 Oct →
dust29–130.0519%27 Oct →
nuke12–12-0.0129%25 Oct →
nuke13–7-0.0217%25 Oct →
dust213–11-0.0212%24 Oct →
dust211–130.0015%24 Oct →
mirage13–110.0717%24 Oct →
nuke9–130.0118%24 Oct →
nuke8–13-0.0615%24 Oct →
nuke13–7-0.0421%24 Oct →
nuke13–90.030%18 Oct →
dust213–40.0150%18 Oct →
nuke13–5-0.018%15 Oct →
dust213–60.1128%15 Oct →
nuke8–13-0.000%9 Oct →
dust213–100.0530%9 Oct →
nuke13–70.1410%9 Oct →
dust213–50.0418%9 Oct →
nuke13–4-0.0813%6 Oct →
nuke6–13-0.019%4 Oct →
nuke6–130.0626%4 Oct →
nuke13–50.0410%3 Oct →
dust24–13-0.0313%3 Oct →
nuke13–110.0316%2 Oct →
dust23–13-0.029%2 Oct →
nuke13–4-0.008%1 Oct →
dust213–40.0133%1 Oct →
dust29–13-0.0219%29 Sept →
nuke13–100.0112%29 Sept →
dust213–100.0518%25 Sept →
nuke10–13-0.0413%25 Sept →
dust29–130.1622%22 Sept →
nuke13–9-0.0111%22 Sept →
nuke13–60.1817%21 Sept →
nuke8–10.0817%21 Sept →
dust213–90.0112%20 Sept →
nuke12–120.0321%20 Sept →
dust213–6-0.0422%20 Sept →
nuke4–9-0.0727%19 Sept →
nuke13–7-0.0715%19 Sept →
dust213–50.0226%19 Sept →
nuke10–130.0234%18 Sept →
nuke13–50.0925%17 Sept →
dust211–130.0823%17 Sept →
dust210–13-0.0517%15 Sept →
nuke13–60.0525%15 Sept →
nuke13–1-0.03100%15 Sept →
nuke13–90.0219%14 Sept →
nuke13–60.0417%13 Sept →
nuke3–13-0.0620%13 Sept →
nuke7–20.0320%11 Sept →
nuke8–13-0.109%11 Sept →
office13–110.0119%11 Sept →
italy2–13-0.0220%11 Sept →
nuke13–9-0.0431%9 Sept →
nuke13–10-0.0023%6 Sept →
inferno2–20.1120%5 Sept →
office13–3-0.0113%5 Sept →
nuke12–12-0.0415%4 Sept →
nuke11–13-0.0524%4 Sept →
dust25–130.0617%4 Sept →
dust213–8-0.0413%3 Sept →
dust213–30.0933%3 Sept →
dust212–40.0014%3 Sept →
dust28–130.0020%3 Sept →
dust212–120.0625%3 Sept →
nuke13–70.0513%30 Aug →
dust25–130.0331%30 Aug →
nuke8–130.066%29 Aug →
dust210–13-0.0710%28 Aug →
nuke12–12-0.0216%27 Aug →
dust21–7-0.050%27 Aug →
nuke13–110.0619%25 Aug →
office13–60.0011%23 Aug →
dust28–13-0.0525%23 Aug →
nuke13–70.0538%23 Aug →
office5–130.0320%21 Aug →
nuke9–13-0.0324%21 Aug →
dust213–110.0418%21 Aug →
dust213–110.0121%21 Aug →
nuke12–12-0.0324%21 Aug →
dust213–90.0317%21 Aug →
dust211–13-0.0224%21 Aug →
dust213–100.0227%19 Aug →
dust213–80.0330%18 Aug →
dust213–10.0833%18 Aug →
nuke11–130.0312%18 Aug →
dust213–20.0330%18 Aug →
dust210–13-0.0221%15 Aug →
nuke12–12-0.0216%15 Aug →
dust211–13-0.0418%15 Aug →
nuke11–130.049%15 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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