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Nat4riuS — CS2 Stats

76561198266099882[U:1:305834154]

1,053Tracked matches62%Win rate2020Tracked since
CSDB Rating5.3 DevelopingHybrid Rifler
Premier CS Rating22,877Top 50% of 819 CSDB-tracked playersPink band · top ~5.3% of ranked players (population est.)
CSDB Leaderboard#5529 of 20991 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGNat4riuSFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER22,877 · Pink bandcsdb.gg/stats

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Performance scores

Aim64
Positioning40
Utility39

0–100 skill scores via Leetify.

Recent form

HOT54–43–3Last 10054%Win rateLWWTWWLWWW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.4
Aggression4.9
Utility3.9
Positioning4.0
Opening Duels0.4
Clutch4.2

Strong CT-side openerLimited 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.

Your pro match

NiKo

Plays most like NiKo 82% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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

Areas to improve

T-side openings. Opening success drops from 44% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 577ms 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

Aim6.4
Positioning4.0
Utility3.9
Mechanics5.4
Opening Duels1.8
Win Impact9.0

Composite 5.3/10 (Developing), 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 rating-0.03−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time576ms−4ms
first ⅓ avg 580ms → last ⅓ avg 576ms
Headshot accuracy16.8%−1.3%
first ⅓ avg 18.0% → last ⅓ avg 16.8%

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.

Highlights

0.12Best rating — nuke 13–1
13–0Biggest win — inferno
7Longest win streak
7–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 80% over 5ancientWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
dust2B2714–1352%-0.01
mirageB2210–1245%-0.03
infernoS2014–670%0.00
ancientC135–838%-0.01
cacheA74–357%0.00
nukeS54–180%0.01
anubis—43–175%0.00
office—10–10%-0.08
overpass—10–10%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

276Matches
50%Win rate
0.91Avg K/D
76.8ADR
43%Headshot %

Clutches & streaks

41%1v1 clutch win
23%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage8845%0.8814.2
Dust26954%1.0114.6
Ancient3358%0.9013.4
Anubis3253%0.9315.1
Inferno1662%0.8214.2
Nuke1450%0.7614.5
Train667%0.8217.8
Vertigo425%0.8613.5

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.

15.7%Headshot accuracy
33.7%Accuracy (enemy spotted)
40.2%Spray accuracy
74.4%Counter-strafing
10.2°Preaim
577msReaction time
19.2%T opening success
44.1%CT opening success
0.51Enemies flashed / flash
4.1%Flash assists
8.58HE damage / grenade
3.35Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.352 — below the 4 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 19.2401% — below the 40% mark we flag

Spend your practice time on Ancient

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient9–130.0015%27 Aug →
nuke13–50.0332%19 Aug →
inferno13–30.0114%19 Aug →
mirage15–15-0.0111%6 Aug →
dust213–110.0724%5 Aug →
inferno13–2-0.0517%5 Aug →
cache6–13-0.0114%4 Aug →
mirage13–9-0.0315%4 Aug →
inferno13–8-0.0612%4 Aug →
mirage13–80.0520%2 Aug →
dust211–13-0.0718%2 Aug →
mirage13–5-0.0620%2 Aug →
dust213–8-0.0125%2 Aug →
mirage1–13-0.0915%2 Aug →
mirage13–11-0.057%29 Jul →
anubis13–50.0615%29 Jul →
dust213–5-0.0210%29 Jul →
anubis10–13-0.076%23 Jul →
ancient11–130.0016%23 Jul →
mirage13–4-0.0117%23 Jul →
dust216–13-0.099%19 Jul →
ancient5–13-0.0514%19 Jul →
inferno6–13-0.0619%19 Jul →
nuke1–9-0.0913%19 Jul →
ancient13–4-0.0120%18 Jul →
anubis13–3-0.0221%18 Jul →
ancient3–13-0.1014%18 Jul →
inferno13–20.0318%14 Jul →
ancient10–13-0.0212%14 Jul →
mirage13–6-0.0319%14 Jul →
inferno3–13-0.0742%12 Jul →
ancient7–13-0.0412%12 Jul →
ancient16–140.0320%12 Jul →
inferno13–50.0526%12 Jul →
inferno9–130.017%12 Jul →
dust213–40.0116%12 Jul →
dust21–9-0.0411%12 Jul →
mirage6–13-0.0423%12 Jul →
cache9–13-0.0426%12 Jul →
nuke13–10.1219%12 Jul →
mirage13–5-0.0222%11 Jul →
dust213–10-0.0219%11 Jul →
cache13–20.0531%10 Jul →
cache5–00.1025%10 Jul →
nuke13–100.0425%10 Jul →
cache13–11-0.0010%8 Jul →
mirage7–13-0.1120%8 Jul →
office11–13-0.0815%8 Jul →
dust213–110.0115%8 Jul →
cache7–13-0.1133%6 Jul →
cache6–10.0413%6 Jul →
inferno13–70.067%6 Jul →
ancient13–40.1115%5 Jul →
ancient13–20.0724%5 Jul →
mirage13–10-0.0510%5 Jul →
inferno13–4-0.0220%4 Jul →
dust213–90.0713%4 Jul →
dust27–13-0.0713%4 Jul →
anubis13–90.0416%4 Jul →
mirage13–80.0736%4 Jul →
inferno10–130.0313%4 Jul →
dust27–13-0.0236%4 Jul →
inferno10–130.0221%2 Jul →
dust213–5-0.016%2 Jul →
inferno13–00.0410%2 Jul →
mirage13–16-0.0521%2 Jul →
mirage9–13-0.067%30 Jun →
dust213–16-0.0314%30 Jun →
inferno13–80.0124%28 Jun →
inferno13–80.0416%27 Jun →
dust210–13-0.0617%27 Jun →
dust28–13-0.0320%26 Jun →
dust213–50.0317%26 Jun →
mirage11–130.039%26 Jun →
dust26–13-0.0039%26 Jun →
inferno13–50.0121%26 Jun →
inferno13–11-0.0220%24 Jun →
dust214–16-0.0116%24 Jun →
ancient5–13-0.0822%20 Jun →
dust29–130.0331%20 Jun →
dust213–60.0219%20 Jun →
dust215–150.0012%20 Jun →
mirage11–13-0.0312%14 Jun →
inferno13–90.0321%9 Jun →
mirage11–13-0.0526%9 Jun →
inferno3–13-0.0021%8 Jun →
mirage10–13-0.069%8 Jun →
ancient10–130.0123%8 Jun →
dust213–90.0120%8 Jun →
overpass10–13-0.039%7 Jun →
mirage15–150.0214%6 Jun →
inferno13–60.0119%6 Jun →
dust216–140.0016%6 Jun →
ancient13–9-0.0313%6 Jun →
mirage16–130.0113%6 Jun →
dust213–4-0.0626%6 Jun →
dust26–13-0.0316%6 Jun →
mirage4–13-0.057%4 Jun →
dust210–13-0.0520%3 Jun →
nuke16–13-0.0412%3 Jun →

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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