Norm4nn♿

Norm4nn♿ — CS2 Stats

DK76561197994217355[U:1:33951627]Steam profile ↗✓ No bans

2,467Tracked matches63%Win rate2020Tracked since
2,824Hours in CS
CSDB Rating6.6 SolidPositional Player
Premier CS Rating19,574Top 50% of 210,832 CSDB-tracked playersPurple band · top ~10.2% of ranked players (population est.)
CSDB Leaderboard#91109 of 257865 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Oct 2026 (5 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: 19,574 +4,684 30 Jul – 22 Oct · 26 days played
14,24419,616peak 19,61630 Jul22 Oct
19,680Peak Premier in tracked matches
33Days played since 2026-07-30

Premier CS Rating

  • 42 below peak (19,616)
  • +962 over 30 days · improving
  • +4,684 over 90 days
  • Next: Pink band at 20,000 — 426 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

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 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate39.2%45.7%46.8%7.6% short
Shot accuracy13.5%12.7%13.0%above
Kill/death ratio0.911.051.060.15 short
Match win rate29.3%45.7%46.3%17.0% short

This profile matches the typical Level 8 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGNorm4nn♿FACEITLevel 7STANDINGTop 42.3% of rankedPREMIER19,574 · 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

Aim59
Positioning75
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY57–39–4Last 10057%Win rateWLWLLLWWLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −4.9pp headshot accuracy · +79ms reaction

Win rate 0pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 624ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 606ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 567ms

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 (+1.6 against its own average).

Aim5.9
Utility5.3
Positioning7.5
Opening Duels7.1
Clutch3.6

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 76% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 67% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 585ms 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

Aim5.9
Positioning7.5
Utility5.3
Mechanics5.0
Opening Duels8.6
Win Impact9.4

Composite 6.6/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time592ms−10ms
first ⅓ avg 602ms → last ⅓ avg 592ms
Headshot accuracy17.7%−4.0%
first ⅓ avg 21.7% → last ⅓ avg 17.7%

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

0.16Best match rating · 3–13 · dust2, 15 Sept →
41%Best headshot accuracy · 8–13 · ancient, 7 Oct →
406msFastest reaction time · 8–13 · inferno, 11 Aug →
13–1Biggest win · nuke, 21 Sept →

Across the last 100 tracked matches.

Highlights

9Longest win streak
7–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 85% over 20mirageWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoS2416–867%0.01
nukeS2017–385%0.03
ancientC208–1240%-0.02
anubisC177–1041%0.02
dust2S86–275%0.06
cacheD62–433%0.01
mirageD51–420%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 5). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

187,674Lifetime kills
0.91K/D
7,939Matches
29.3%Match win rate
39.2%Headshot %
13.5%Shot accuracy · Top 50% of Level 7 players
13,872MVPs
2,824Hours (in match)
5,720Bombs planted
1,335Bombs defused

Most-used weapons

AWP44,037
AK-4723,418
SG 5537,132
XM10145,347
MAC-105,203
AUG4,326

Lifetime map wins

19,295dust2
11,091inferno
7,299nuke
2,417cbble
1,432vertigo
357train
19ar_shoots
7ar_baggage

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

Faceit stats

Combat

356Matches
48%Win rate
0.97Avg K/D
80.7ADR
38%Headshot %

Clutches & streaks

38%1v1 clutch win
17%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno2268%1.0115.4
Nuke1839%1.0016.3
Ancient1753%1.2817.4
Cache729%1.1120.0
Mirage650%1.1215.0
Dust2633%1.1516.3
Vertigo450%1.1215.3
Anubis30%0.8114.0

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.

17.5%Headshot accuracy
37.3%Accuracy (enemy spotted)
34.4%Spray accuracy
72.3%Counter-strafing
11.8°Preaim
585msReaction time
67.0%T opening success
62.2%CT opening success
0.51Enemies flashed / flash
3.1%Flash assists
12.11HE damage / grenade
7.19Flashes / match

Recommended for you

Spend your practice time on Mirage

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–50.0111%24 Oct →
inferno11–13-0.0325%24 Oct →
nuke13–40.0211%22 Oct →
mirage9–13-0.0721%20 Oct →
mirage11–13-0.0314%20 Oct →
ancient4–13-0.097%18 Oct →
nuke19–150.089%14 Oct →
cache16–120.0318%13 Oct →
nuke7–13-0.0415%11 Oct →
nuke13–40.0922%11 Oct →
inferno13–100.0624%11 Oct →
inferno13–60.0020%8 Oct →
ancient6–13-0.0515%8 Oct →
ancient8–13-0.0141%7 Oct →
mirage7–13-0.010%27 Sept →
nuke13–10-0.0317%27 Sept →
mirage13–10-0.0128%23 Sept →
inferno8–130.0526%21 Sept →
nuke13–10.0717%21 Sept →
dust28–130.0113%21 Sept →
dust213–100.0310%21 Sept →
nuke6–90.0121%21 Sept →
cache13–50.0618%20 Sept →
ancient13–7-0.0025%19 Sept →
dust23–130.1616%15 Sept →
inferno13–90.0210%15 Sept →
ancient13–90.0121%15 Sept →
dust213–7-0.0125%12 Sept →
inferno9–6-0.0415%12 Sept →
dust213–8-0.0112%12 Sept →
nuke13–50.0814%6 Sept →
inferno13–6-0.0621%6 Sept →
dust213–30.0221%6 Sept →
inferno13–50.0119%6 Sept →
inferno8–8-0.0026%6 Sept →
inferno9–13-0.0028%30 Aug →
cache4–13-0.0310%30 Aug →
anubis5–130.0422%30 Aug →
inferno13–50.0414%30 Aug →
dust213–50.1228%30 Aug →
inferno9–50.1128%30 Aug →
anubis15–150.0512%29 Aug →
inferno6–13-0.0417%27 Aug →
inferno13–90.0628%27 Aug →
ancient8–13-0.1018%26 Aug →
nuke10–20.040%26 Aug →
inferno16–13-0.0213%26 Aug →
mirage15–150.0214%20 Aug →
anubis13–110.0313%20 Aug →
ancient11–13-0.018%16 Aug →
nuke13–10.1030%16 Aug →
ancient11–13-0.0428%16 Aug →
inferno13–40.1120%16 Aug →
inferno5–13-0.0629%16 Aug →
anubis2–13-0.0618%16 Aug →
ancient7–13-0.045%15 Aug →
anubis8–130.0630%15 Aug →
inferno13–110.0318%15 Aug →
ancient11–130.0222%15 Aug →
anubis13–90.0021%15 Aug →
anubis8–130.0218%13 Aug →
inferno13–110.0717%13 Aug →
ancient5–13-0.0230%13 Aug →
nuke13–10.1330%11 Aug →
nuke13–110.0823%11 Aug →
inferno8–13-0.0612%11 Aug →
nuke9–13-0.0424%11 Aug →
ancient13–60.0629%11 Aug →
nuke13–10-0.0222%9 Aug →
anubis13–90.0122%9 Aug →
ancient15–150.0116%9 Aug →
anubis10–130.0021%9 Aug →
nuke13–9-0.0317%8 Aug →
ancient6–130.0129%8 Aug →
nuke13–10.0112%8 Aug →
ancient13–6-0.069%8 Aug →
anubis8–13-0.0132%8 Aug →
ancient13–160.0218%6 Aug →
anubis13–70.0328%6 Aug →
inferno13–90.0136%6 Aug →
nuke13–30.0731%6 Aug →
ancient13–11-0.0418%6 Aug →
anubis5–13-0.0119%4 Aug →
inferno13–40.0110%4 Aug →
cache10–130.0229%4 Aug →
anubis4–13-0.0014%4 Aug →
ancient13–6-0.0216%2 Aug →
dust213–20.1315%2 Aug →
ancient13–100.0320%2 Aug →
anubis13–10.0720%2 Aug →
nuke13–5-0.0329%2 Aug →
ancient13–30.0421%2 Aug →
inferno16–140.0316%2 Aug →
anubis13–50.1136%2 Aug →
anubis13–70.0518%1 Aug →
inferno4–13-0.0210%1 Aug →
cache8–130.0134%1 Aug →
cache9–13-0.0329%30 Jul →
anubis8–13-0.0417%30 Jul →
nuke13–110.0027%30 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 →

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