NAAMARITS

NAAMARITS — CS2 Stats

FI76561198064551859[U:1:104286131]Steam profile ↗✓ No bans

1,359Tracked matches72%Win rate2020Tracked since
5,429Hours in CS50Hrs last 2 wks
CSDB Rating6.6 SolidPositional Player
Premier CS Rating23,411Top 25% of 213,211 CSDB-tracked playersPink band · top ~4.7% of ranked players (population est.)
CSDB Leaderboard#39203 of 259961 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (3 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: 23,411 +8,520 20 Sept – 2 Nov · 18 days played
14,89123,817peak 23,81720 Sept2 Nov
23,817Peak Premier in tracked matches
21Days played since 2026-09-20

Premier CS Rating

  • 406 below peak (23,817)
  • +7,384 over 30 days · improving
  • Next: Red band at 25,000 — 1,589 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-20
  • Light Blue 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 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate55.9%46.8%48.2%above
Shot accuracy19.1%13.0%13.2%above
Kill/death ratio1.231.061.07above
Match win rate44.3%46.3%46.9%2.7% short

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGNAAMARITSFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER23,411 · Pink 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

Aim74
Positioning60
Utility47

0–100 skill scores via Leetify.

Recent form

HOT57–41–2Last 10057%Win rateWLLWLWWWWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +0.3pp headshot accuracy · −75ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 515ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 541ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 579ms

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 (+2.1 against its own average).

Aim7.4
Utility4.7
Positioning6.0
Opening Duels0.9

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

iM

Plays most like iM 87% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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

Reaction time. 567ms 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

Aim7.4
Positioning6.0
Utility4.7
Mechanics8.0
Opening Duels1.6
Win Impact10.0

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time573ms−8ms
first ⅓ avg 582ms → last ⅓ avg 573ms
Headshot accuracy21.1%−0.5%
first ⅓ avg 21.6% → last ⅓ avg 21.1%

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

0.21Best match rating · 7–0 · mirage, 23 Oct →
33%Best headshot accuracy · 2–13 · inferno, 6 Oct →
438msFastest reaction time · 11–13 · dust2, 28 Sept →
13–1Biggest win · inferno, 17 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 63% over 8infernoWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
mirageA1811–761%0.05
cacheB158–753%0.02
nukeA159–660%0.03
dust2A148–657%0.01
infernoC125–742%0.01
ancientA127–558%0.01
anubisA85–363%0.01
overpass—32–167%0.08
train—21–150%0.06
vertigo—11–0100%0.12

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

200,053Lifetime kills
1.23K/D · Top 25% of Level 8 players
6,554Matches
44.3%Match win rate
55.9%Headshot % · Top 25% of Level 8 players
19.1%Shot accuracy · Top 10% of Level 8 players
19,479MVPs
3,474Hours (in match)
7,200Bombs planted
1,366Bombs defused

Most-used weapons

AK-4777,889
AWP22,924
P2505,613
FAMAS3,634

Lifetime map wins

11,303dust2
10,380inferno
6,972nuke
2,549train
921cbble
853vertigo
358office
113lake

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.

21.5%Headshot accuracy
31.1%Accuracy (enemy spotted)
32.7%Spray accuracy
86.1%Counter-strafing
8.9°Preaim
567msReaction time
32.7%T opening success
40.3%CT opening success
0.49Enemies flashed / flash
6.4%Flash assists
12.34HE damage / grenade
7.06Flashes / 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 0.4871 — below the 0.5 mark we flag

    Grenade Lineups →
  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 32.6667% — below the 40% mark we flag

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.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–4-0.0212%2 Nov →
cache6–13-0.0231%2 Nov →
inferno5–130.0124%2 Nov →
overpass13–70.0623%2 Nov →
ancient8–13-0.0517%2 Nov →
dust213–3-0.0418%2 Nov →
vertigo13–40.1215%2 Nov →
overpass13–20.1522%1 Nov →
mirage13–70.0723%24 Oct →
ancient13–30.0319%23 Oct →
cache13–10-0.0119%23 Oct →
ancient13–5-0.0315%23 Oct →
mirage8–13-0.0220%23 Oct →
mirage7–00.2126%23 Oct →
inferno9–130.0419%22 Oct →
nuke13–8-0.0028%22 Oct →
mirage13–30.0720%22 Oct →
dust25–13-0.0128%22 Oct →
nuke6–13-0.0617%22 Oct →
anubis13–7-0.038%22 Oct →
mirage16–140.0929%22 Oct →
cache13–80.0720%18 Oct →
overpass10–130.0325%17 Oct →
inferno13–10.1216%17 Oct →
nuke13–80.0420%17 Oct →
mirage15–150.0827%16 Oct →
cache13–100.0429%16 Oct →
nuke16–140.0023%16 Oct →
ancient13–9-0.0418%16 Oct →
ancient13–90.1023%15 Oct →
cache9–130.0220%15 Oct →
dust27–10.0519%15 Oct →
dust213–9-0.0124%15 Oct →
ancient16–130.0526%15 Oct →
ancient8–13-0.0314%15 Oct →
nuke13–11-0.0020%14 Oct →
anubis13–80.0213%14 Oct →
anubis13–60.0616%14 Oct →
inferno16–120.0331%14 Oct →
inferno5–13-0.0614%11 Oct →
mirage9–13-0.0120%10 Oct →
cache13–8-0.0523%10 Oct →
inferno11–130.0131%10 Oct →
ancient7–130.1525%10 Oct →
nuke8–130.0315%10 Oct →
train5–130.0923%10 Oct →
anubis13–100.0819%10 Oct →
mirage8–130.0622%10 Oct →
anubis9–130.0325%9 Oct →
nuke13–110.0319%9 Oct →
nuke11–130.1121%9 Oct →
cache13–20.0920%9 Oct →
nuke13–60.0217%9 Oct →
ancient7–13-0.0418%9 Oct →
dust27–130.0112%9 Oct →
inferno13–110.0116%9 Oct →
nuke6–13-0.0317%9 Oct →
mirage16–140.1123%9 Oct →
cache15–15-0.0113%9 Oct →
mirage13–90.0823%9 Oct →
nuke16–120.0023%8 Oct →
cache6–130.009%8 Oct →
mirage13–100.0625%8 Oct →
mirage7–13-0.0119%8 Oct →
anubis5–13-0.0322%8 Oct →
inferno13–7-0.0225%8 Oct →
mirage13–50.0129%8 Oct →
cache13–60.0918%8 Oct →
dust213–80.0219%8 Oct →
anubis13–60.0017%8 Oct →
ancient3–13-0.0223%6 Oct →
cache1–13-0.110%6 Oct →
inferno2–13-0.0433%6 Oct →
train13–110.0232%6 Oct →
nuke13–20.0723%6 Oct →
cache11–130.0126%6 Oct →
dust213–20.0120%6 Oct →
mirage10–130.0327%5 Oct →
nuke13–60.1618%5 Oct →
ancient13–9-0.0214%4 Oct →
dust213–70.0523%2 Oct →
cache13–40.1017%1 Oct →
nuke10–13-0.0022%1 Oct →
anubis14–16-0.0214%1 Oct →
inferno13–10-0.0019%1 Oct →
nuke9–130.1125%1 Oct →
mirage1–130.0026%1 Oct →
inferno8–130.0432%1 Oct →
dust28–13-0.0215%1 Oct →
dust211–130.1230%1 Oct →
dust210–13-0.0816%1 Oct →
dust213–80.0328%1 Oct →
cache8–13-0.0218%1 Oct →
ancient13–30.0723%1 Oct →
inferno4–130.0225%1 Oct →
mirage13–100.0115%30 Sept →
dust211–130.0132%28 Sept →
dust213–60.0414%28 Sept →
cache13–90.0427%28 Sept →
mirage13–7-0.0021%28 Sept →

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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