Narr1

Narr1 — CS2 Stats

IS76561198012531427[U:1:52265699]Steam profile ↗✓ No bans

1,674Tracked matches48%Win rate2020Tracked since
CSDB Rating6.9 SolidPositional Player
Premier CS Rating19,311Top 50% of 215,386 CSDB-tracked playersPurple band · top ~11.2% of ranked players (population est.)
CSDB Leaderboard#96520 of 261531 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Nov 2026 (4 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: 19,311 -1,231 26 Jun – 10 Nov · 10 days played
18,41820,567peak 20,56726 Jun10 Nov
20,567Peak Premier in tracked matches
61Days played since 2026-05-20

Premier CS Rating

  • 1,256 below peak (20,567)
  • Next: Pink band at 20,000 — 689 to go
  • Reached: Pink band · Purple band · 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.GGNarr1FACEITLevel 9STANDINGTop 20.7% of rankedPREMIER19,311 · Purple 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

Aim84
Positioning63
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY45–50–5Last 10045%Win rateWLWWLLLWLL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −1.6pp headshot accuracy · +2ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 525ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 537ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 536ms

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 (+1.7 against its own average).

Aim8.4
Utility4.8
Positioning6.3
Opening Duels3.6
Clutch3.8

Excellent counter-strafing

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

Twistzz

Plays most like Twistzz 89% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: 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

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 11.1° off target when enemies appear — placement, not flicking, is the bigger win available.

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

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

Aim8.4
Positioning6.3
Utility4.8
Mechanics9.0
Opening Duels6.4
Win Impact4.4

Composite 6.9/10 (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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time529ms−37ms
first ⅓ avg 566ms → last ⅓ avg 529ms
Headshot accuracy17.1%+1.0%
first ⅓ avg 16.1% → last ⅓ avg 17.1%

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

0.24Best match rating · 13–5 · cache, 2 Sept →
31%Best headshot accuracy · 6–13 · cache, 14 Sept →
383msFastest reaction time · 10–13 · anubis, 20 Aug →
13–1Biggest win · cache, 22 Aug →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

ancientBest map · 83% over 6infernoWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
cacheC5825–3343%0.01
mirageA95–456%0.01
infernoD81–713%-0.04
nukeC83–538%-0.03
anubisA74–357%0.02
ancientS65–183%0.02
dust2—32–167%0.02
overpass—10–10%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

737Matches
54%Win rate
1.00Avg K/D
73.0ADR
40%Headshot %

Clutches & streaks

39%1v1 clutch win
18%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient11554%0.9914.9
Anubis10464%1.1015.1
Inferno7056%0.9013.8
Nuke5971%0.9913.8
Mirage4846%0.9412.6
Dust22650%0.7911.5
Cache2429%1.0215.7
Overpass1547%1.1115.7

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.

16.9%Headshot accuracy
38.9%Accuracy (enemy spotted)
41.5%Spray accuracy
90.6%Counter-strafing
11.1°Preaim
532msReaction time
61.5%T opening success
49.5%CT opening success
0.42Enemies flashed / flash
5.1%Flash assists
4.46HE damage / grenade
10.15Flashes / 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. 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 0.4247 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–8-0.0115%10 Nov →
cache7–13-0.0515%5 Nov →
anubis13–110.1218%5 Nov →
dust216–140.0318%4 Nov →
ancient9–130.0413%4 Nov →
inferno10–13-0.0514%28 Oct →
cache5–13-0.0210%27 Oct →
nuke13–9-0.0120%27 Oct →
inferno13–16-0.0325%27 Oct →
cache9–130.0314%26 Oct →
cache11–50.0127%25 Oct →
cache6–130.1022%25 Oct →
cache10–50.1030%19 Oct →
cache12–120.0120%19 Oct →
mirage6–12-0.0313%14 Oct →
ancient13–9-0.027%12 Oct →
cache5–13-0.0512%12 Oct →
inferno4–13-0.1011%11 Oct →
ancient13–4-0.0513%11 Oct →
cache13–7-0.0523%9 Oct →
cache13–90.0416%7 Oct →
ancient13–50.1225%6 Oct →
mirage1–130.0520%6 Oct →
cache7–13-0.058%6 Oct →
cache13–110.0413%5 Oct →
cache11–13-0.0410%5 Oct →
cache13–20.0227%4 Oct →
nuke10–13-0.0215%29 Sept →
dust26–130.0021%28 Sept →
dust213–70.0320%28 Sept →
ancient13–40.0313%28 Sept →
mirage3–130.0211%28 Sept →
mirage0–9-0.0429%28 Sept →
cache2–13-0.0019%27 Sept →
nuke11–13-0.0317%26 Sept →
mirage13–11-0.0314%17 Sept →
cache12–12-0.0217%15 Sept →
cache12–120.0323%15 Sept →
cache6–130.0231%14 Sept →
cache13–9-0.0418%14 Sept →
cache10–13-0.0311%12 Sept →
cache11–130.0115%11 Sept →
cache6–13-0.0118%7 Sept →
nuke13–6-0.0321%6 Sept →
cache6–130.0522%6 Sept →
cache1–7-0.017%6 Sept →
cache13–100.0920%4 Sept →
cache13–8-0.019%2 Sept →
cache13–50.2431%2 Sept →
cache11–130.0218%2 Sept →
anubis13–6-0.0413%1 Sept →
cache12–12-0.0310%1 Sept →
cache10–130.0313%1 Sept →
cache13–50.0822%24 Aug →
anubis13–30.1020%23 Aug →
cache10–13-0.0116%23 Aug →
cache13–1-0.0012%22 Aug →
cache13–80.0513%21 Aug →
cache13–50.1020%21 Aug →
anubis10–13-0.0420%20 Aug →
cache13–110.0217%20 Aug →
nuke4–13-0.0618%15 Aug →
inferno8–130.0316%15 Aug →
mirage13–80.0621%12 Aug →
cache13–100.039%12 Aug →
cache12–120.0517%11 Aug →
cache10–13-0.078%10 Aug →
cache9–130.0519%27 Jul →
cache5–13-0.0418%27 Jul →
cache13–50.0619%24 Jul →
cache7–13-0.044%24 Jul →
inferno2–13-0.0629%23 Jul →
inferno2–13-0.0623%22 Jul →
anubis3–130.0125%21 Jul →
anubis13–10-0.0321%21 Jul →
mirage13–110.0117%8 Jul →
mirage13–90.0017%8 Jul →
cache6–130.0221%8 Jul →
nuke4–13-0.056%4 Jul →
nuke13–60.029%3 Jul →
anubis8–13-0.0013%1 Jul →
overpass14–16-0.0623%28 Jun →
ancient13–70.0229%28 Jun →
nuke7–13-0.0323%27 Jun →
mirage13–70.0413%26 Jun →
cache8–130.0118%11 Jun →
cache13–11-0.0223%8 Jun →
cache13–70.0313%8 Jun →
inferno25–23-0.019%4 Jun →
cache5–13-0.0513%30 May →
inferno6–13-0.0612%29 May →
cache3–13-0.0114%29 May →
cache6–13-0.028%25 May →
cache13–5-0.015%24 May →
cache13–5-0.009%23 May →
cache13–90.0816%22 May →
cache13–1-0.0225%22 May →
cache9–130.0612%22 May →
cache13–90.0317%22 May →
cache9–13-0.0211%20 May →

Match data via Leetify.

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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