Nate✌(ツ)ว — CS2 Stats

IN76561198329016769[U:1:368751041]Steam profile ↗✓ No bans

3,303Tracked matches55%Win rate2020Tracked since

CSDB Rating6.6 SolidAggressive Rifler

Premier CS Rating20,359Top 50% of 44,590 CSDB-tracked playersPink band · top ~8.1% of ranked players (population est.)

CSDB Leaderboard#21407 of 60031 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

Ladder ranks via Leetify

Share this profile

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

Aim87

Positioning58

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateTWLWLLWLWL

Last 10 vs previous 10: -20pp win rate · +0.02 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.7

Aggression10.0

Utility4.7

Positioning5.8

Opening Duels4.8

Clutch3.8

Sharp aimerStrong CT-side opener

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

Plays most like sh1ro 91% playstyle similarity

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

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

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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

T-side openings. Opening success drops from 64% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.7

Positioning5.8

Utility4.7

Mechanics5.9

Opening Duels4.8

Win Impact6.7

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 rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time495ms−75ms

first ⅓ avg 570ms → last ⅓ avg 495ms

Headshot accuracy23.1%−0.0%

first ⅓ avg 23.1% → 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.

Highlights

0.26Best rating — mirage 13–1

13–0Biggest win — anubis

4Longest win streak

13–5In matches decided by ≤2 rounds

12Overtime games

Map breakdown

mirageBest map · 70% over 30ancientWeakest map · 20% over 15

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	30	21–9	70%	0.04
inferno	A	19	11–8	58%	0.02
ancient	D	15	3–12	20%	0.01
anubis	B	12	6–6	50%	0.02
dust2	A	10	6–4	60%	-0.00
cache	D	10	3–7	30%	0.01
nuke	—	4	2–2	50%	0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

301Matches

54%Win rate

1.29Avg K/D

81.5ADR

45%Headshot %

Clutches & streaks

39%1v1 clutch win

24%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	62	74%	1.38	18.7
Ancient	23	43%	1.12	17.5
Anubis	23	57%	1.27	17.0
Inferno	21	43%	1.15	16.3
Dust2	19	32%	1.05	19.2
Cache	9	22%	1.15	17.9
Nuke	7	43%	1.02	15.3
Overpass	5	60%	1.07	16.0

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.

23.9%Headshot accuracy

35.4%Accuracy (enemy spotted)

40.0%Spray accuracy

76.8%Counter-strafing

8.0°Preaim

495msReaction time

34.8%T opening success

63.6%CT opening success

0.51Enemies flashed / flash

4.8%Flash assists

5.45HE damage / grenade

12.71Flashes / 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.

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 34.778% — 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.

20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	15–15	0.00	21%	30 Aug →
ancient	13–5	0.06	25%	28 Aug →
anubis	9–13	0.03	16%	28 Aug →
dust2	13–11	-0.04	17%	27 Aug →
ancient	10–13	-0.08	15%	24 Aug →
anubis	14–16	0.02	19%	24 Aug →
dust2	13–7	-0.02	22%	23 Aug →
mirage	6–13	0.09	45%	23 Aug →
mirage	16–13	0.10	33%	23 Aug →
inferno	4–13	0.06	15%	23 Aug →
ancient	3–13	-0.04	19%	23 Aug →
mirage	13–11	0.02	27%	23 Aug →
anubis	10–13	-0.02	15%	23 Aug →
anubis	13–0	0.00	0%	23 Aug →
inferno	13–0	0.00	0%	23 Aug →
ancient	11–13	0.05	39%	22 Aug →
nuke	3–13	0.01	17%	22 Aug →
cache	13–8	0.01	25%	22 Aug →
nuke	13–8	-0.03	50%	21 Aug →
anubis	16–13	0.03	22%	21 Aug →
inferno	13–11	0.08	21%	20 Aug →
dust2	7–13	-0.04	45%	20 Aug →
mirage	16–14	0.07	23%	19 Aug →
anubis	13–11	0.05	20%	18 Aug →
dust2	13–3	0.08	23%	18 Aug →
mirage	13–9	0.02	41%	18 Aug →
mirage	8–13	-0.03	23%	18 Aug →
mirage	13–5	0.08	15%	18 Aug →
dust2	6–13	-0.05	21%	17 Aug →
mirage	7–13	0.02	26%	17 Aug →
inferno	13–8	0.06	14%	17 Aug →
mirage	10–13	0.07	28%	16 Aug →
mirage	6–13	-0.06	21%	16 Aug →
inferno	13–6	0.05	37%	16 Aug →
ancient	13–6	0.05	28%	15 Aug →
nuke	16–14	0.03	14%	15 Aug →
cache	12–16	0.03	14%	15 Aug →
cache	9–13	0.01	28%	15 Aug →
ancient	5–13	0.01	22%	15 Aug →
anubis	10–13	0.05	14%	13 Aug →
mirage	16–13	0.02	17%	13 Aug →
mirage	13–7	0.09	29%	13 Aug →
inferno	13–8	0.04	13%	12 Aug →
mirage	13–10	0.07	23%	12 Aug →
ancient	9–13	0.05	17%	12 Aug →
dust2	13–16	-0.05	16%	11 Aug →
mirage	13–1	0.26	25%	11 Aug →
cache	9–13	-0.01	13%	11 Aug →
inferno	10–13	-0.03	33%	10 Aug →
mirage	13–11	-0.02	37%	10 Aug →
ancient	8–13	0.10	40%	10 Aug →
dust2	13–11	0.04	26%	9 Aug →
inferno	2–13	-0.06	10%	9 Aug →
mirage	13–10	0.04	19%	9 Aug →
ancient	9–13	-0.00	6%	9 Aug →
mirage	13–8	0.01	18%	5 Aug →
inferno	16–13	0.00	14%	5 Aug →
ancient	13–16	0.01	21%	2 Aug →
anubis	7–13	-0.02	23%	2 Aug →
dust2	6–13	-0.08	21%	2 Aug →
inferno	13–11	0.11	17%	2 Aug →
ancient	1–13	-0.04	8%	2 Aug →
mirage	13–5	0.18	21%	2 Aug →
anubis	13–10	-0.00	29%	2 Aug →
mirage	10–13	0.04	22%	2 Aug →
cache	13–11	0.00	14%	2 Aug →
ancient	13–7	0.04	26%	2 Aug →
mirage	10–13	-0.06	21%	2 Aug →
inferno	13–8	0.03	25%	2 Aug →
inferno	6–13	-0.09	25%	2 Aug →
mirage	16–13	0.03	14%	2 Aug →
mirage	13–9	-0.02	22%	1 Aug →
mirage	4–13	-0.03	39%	1 Aug →
inferno	13–5	0.04	27%	1 Aug →
inferno	4–9	-0.07	21%	1 Aug →
inferno	11–13	0.13	26%	31 Jul →
cache	13–10	-0.03	15%	31 Jul →
ancient	11–13	-0.04	18%	31 Jul →
dust2	13–10	0.07	31%	30 Jul →
anubis	13–5	0.07	21%	30 Jul →
mirage	13–10	0.04	29%	30 Jul →
mirage	5–13	0.03	29%	29 Jul →
inferno	7–13	0.04	31%	29 Jul →
mirage	13–11	0.05	24%	27 Jul →
cache	5–13	-0.04	17%	25 Jul →
ancient	1–13	-0.01	33%	25 Jul →
inferno	13–6	-0.01	12%	22 Jul →
mirage	13–6	0.05	24%	22 Jul →
cache	5–13	0.05	13%	22 Jul →
ancient	8–13	0.05	29%	21 Jul →
mirage	13–10	0.04	19%	21 Jul →
anubis	13–8	0.02	31%	19 Jul →
cache	9–13	0.08	18%	18 Jul →
mirage	13–11	-0.01	11%	18 Jul →
cache	9–13	0.04	31%	18 Jul →
inferno	11–13	-0.01	20%	18 Jul →
dust2	13–3	0.06	22%	17 Jul →
mirage	13–2	0.06	23%	17 Jul →
anubis	10–13	-0.01	17%	17 Jul →
inferno	13–11	0.02	28%	17 Jul →