narrad opa

narrad opa — CS2 Stats

DE76561198168924551[U:1:208658823]Steam profile ↗✓ No bans

1,934Tracked matches57%Win rate2021Tracked since
3,297Hours in CS0Hrs last 2 wks
CSDB Rating7.1 StrongClutch Specialist
Premier CS Rating25,445Top 10% of 212,133 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)
CSDB Leaderboard#17876 of 259074 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (26 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: 25,445 +1,706 22 Jul – 5 Oct · 32 days played
21,67525,587peak 25,58722 Jul5 Oct
25,834Peak Premier in tracked matches
32Days played since 2026-07-22

Premier CS Rating

  • 142 below peak (25,587)
  • +3,662 over 30 days · improving
  • Next: Gold band at 30,000 — 4,555 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-20
  • Purple band first seen 2026-09-20

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

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,505), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate36.9%41.8%42.7%5.8% short
Shot accuracy16.6%12.2%11.2%above
Kill/death ratio0.860.980.990.13 short
Match win rate42.3%43.3%43.9%1.6% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGnarrad opaFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER25,445 · Red bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim81
Positioning72
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY42–53–5Last 10042%Win rateTWLWLLWLWL

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · +0.6pp headshot accuracy · +82ms 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 625ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 648ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 607ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.8 against its own average).

Aim8.1
Utility5.0
Positioning7.2
Opening Duels6.6
Clutch10.0

Reliable in 1v1s

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 93% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; 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

Areas to improve

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

Reaction time. 605ms 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

Aim8.1
Positioning7.2
Utility5.0
Mechanics5.5
Opening Duels5.7
Win Impact7.4

Composite 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.02
first ⅓ avg 0.02 → last ⅓ avg 0.04
Reaction time607ms+23ms
first ⅓ avg 584ms → last ⅓ avg 607ms
Headshot accuracy23.1%−2.6%
first ⅓ avg 25.7% → last ⅓ avg 23.1%

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 · 13–5 · mirage, 23 Sept →
50%Best headshot accuracy · 13–4 · mirage, 8 Aug →
383msFastest reaction time · 0–6 · mirage, 18 Sept →
13–0Biggest win · cache, 16 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–7In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 67% over 6cacheWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2C2510–1540%0.04
mirageD186–1233%0.03
infernoA169–756%0.02
nukeA148–657%0.04
ancientD134–931%0.05
cacheD81–713%0.03
anubisS64–267%0.02

Across the last 100 tracked matches.

Lifetime stats

72,840Lifetime kills
0.86K/D
4,555Matches
42.3%Match win rate
36.9%Headshot %
16.6%Shot accuracy · Top 25% of Level 3 players
7,894MVPs
1,863Hours (in match)
6,591Bombs planted
901Bombs defused

Most-used weapons

Lifetime map wins

10,898inferno
7,858dust2
4,225nuke
1,624vertigo
1,511train
120cbble
70office
30lake

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

Faceit stats

Combat

248Matches
48%Win rate
0.75Avg K/D
62.4ADR
27%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2576%0.768.1
Inferno1283%1.4610.5
Overpass956%0.9510.1
Ancient838%0.6511.3
Nuke862%0.619.4
Anubis4100%1.4110.3
Vertigo333%0.5310.3
Dust2250%0.449.5

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.

22.8%Headshot accuracy
38.7%Accuracy (enemy spotted)
41.8%Spray accuracy
74.9%Counter-strafing
8.8°Preaim
605msReaction time
49.2%T opening success
56.2%CT opening success
0.51Enemies flashed / flash
4.6%Flash assists
9.26HE damage / grenade
5.99Flashes / match

Recommended for you

Spend your practice time on Cache

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno15–15-0.0212%5 Oct →
dust216–140.0124%5 Oct →
cache4–13-0.0148%4 Oct →
ancient13–70.0018%1 Oct →
ancient9–130.0823%30 Sept →
dust28–13-0.0315%29 Sept →
nuke13–90.0418%29 Sept →
dust210–130.0920%29 Sept →
dust213–7-0.0224%28 Sept →
inferno11–13-0.0026%28 Sept →
dust213–80.0117%28 Sept →
cache7–13-0.0621%28 Sept →
dust216–130.0919%28 Sept →
inferno13–4-0.0531%28 Sept →
dust213–11-0.0119%28 Sept →
inferno13–30.0329%27 Sept →
nuke6–13-0.0617%27 Sept →
inferno13–60.0818%27 Sept →
dust211–130.0127%26 Sept →
nuke16–130.0423%26 Sept →
inferno13–80.0945%26 Sept →
mirage13–40.0620%26 Sept →
ancient15–15-0.0116%25 Sept →
dust27–13-0.0221%25 Sept →
inferno13–60.0823%25 Sept →
ancient5–13-0.0219%24 Sept →
dust213–40.1423%23 Sept →
ancient9–130.0826%23 Sept →
mirage13–50.2724%23 Sept →
cache9–130.1633%23 Sept →
anubis13–110.1320%23 Sept →
dust213–160.0921%23 Sept →
cache11–130.0823%23 Sept →
inferno15–15-0.0313%23 Sept →
inferno13–6-0.0321%23 Sept →
dust26–130.0735%22 Sept →
dust26–130.1427%21 Sept →
dust211–130.0822%21 Sept →
mirage9–130.0922%21 Sept →
ancient7–130.0620%21 Sept →
ancient13–80.0624%21 Sept →
cache3–130.0337%21 Sept →
ancient9–130.0823%20 Sept →
nuke15–150.0123%20 Sept →
dust213–60.2027%20 Sept →
nuke13–40.1517%20 Sept →
mirage0–6-0.080%18 Sept →
mirage1–13-0.0327%18 Sept →
anubis3–13-0.0423%16 Sept →
inferno13–11-0.0321%16 Sept →
anubis16–140.0427%16 Sept →
inferno9–130.0125%16 Sept →
cache13–00.0621%16 Sept →
dust215–150.0816%16 Sept →
mirage7–130.0015%15 Sept →
nuke13–80.0821%15 Sept →
ancient5–130.0630%14 Sept →
nuke13–80.0923%14 Sept →
inferno16–120.0728%14 Sept →
anubis5–13-0.023%11 Sept →
cache3–13-0.0313%11 Sept →
nuke16–140.1216%10 Sept →
mirage13–70.0522%10 Sept →
mirage6–130.0418%8 Sept →
mirage7–13-0.0418%8 Sept →
dust213–160.0423%8 Sept →
inferno13–8-0.0024%29 Aug →
dust213–7-0.026%29 Aug →
ancient13–50.0529%29 Aug →
nuke4–130.0326%29 Aug →
inferno11–130.0523%28 Aug →
dust25–130.1121%28 Aug →
ancient13–50.0918%28 Aug →
dust22–130.0615%28 Aug →
cache9–130.0125%28 Aug →
ancient9–130.0318%20 Aug →
nuke13–90.0125%20 Aug →
mirage11–130.0421%20 Aug →
inferno10–130.0924%20 Aug →
dust213–9-0.0526%19 Aug →
inferno3–13-0.0414%19 Aug →
ancient10–130.0530%19 Aug →
nuke13–8-0.0123%19 Aug →
nuke7–130.0124%8 Aug →
mirage13–40.1050%8 Aug →
anubis13–3-0.0040%8 Aug →
dust213–16-0.0331%8 Aug →
mirage13–60.0344%8 Aug →
nuke9–130.0730%8 Aug →
dust213–50.0828%8 Aug →
mirage2–13-0.0729%8 Aug →
nuke8–13-0.0523%7 Aug →
mirage5–130.0521%7 Aug →
mirage13–70.1238%30 Jul →
mirage9–13-0.1121%28 Jul →
mirage5–130.0423%27 Jul →
dust25–130.0120%27 Jul →
mirage2–80.0535%23 Jul →
dust211–13-0.0320%22 Jul →
anubis13–110.0226%22 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.