Nova — CS2 Stats

US76561198004326428[U:1:44060700]Steam profile ↗

1,869Tracked matches50%Win rate2024Tracked since

1,475Hours in CS

CSDB Rating6.0 SolidPassive Rifler

Premier CS Rating24,033Top 50% of 819 CSDB-tracked playersPink band · top ~4.1% of ranked players (population est.)

CSDB Leaderboard#3030 of 14058 tracked

FaceitLevel 7 · 1,957 ELOTop 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim83

Positioning43

Utility50

0–100 skill scores via Leetify.

Recent form

STEADY50–49–1Last 10050%Win rateLWLLWWWWLW

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

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

Aim8.3

Aggression2.7

Utility5.0

Positioning4.3

Opening Duels1.2

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.

Your pro match

Plays most like NiKo 86% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning profile; lower opening-fight frequency.

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

Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.

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

Aim8.3

Positioning4.3

Utility5.0

Mechanics7.8

Opening Duels1.5

Win Impact5.0

Composite 6.0/10 (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 rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time552ms+21ms

first ⅓ avg 531ms → last ⅓ avg 552ms

Headshot accuracy19.7%+2.6%

first ⅓ avg 17.1% → last ⅓ avg 19.7%

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.

Highlights

0.13Best rating — ancient 3–13

13–1Biggest win — anubis

6Longest win streak

7–4In matches decided by ≤2 rounds

10Overtime games

Map breakdown

cacheBest map · 67% over 6infernoWeakest map · 42% over 26

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	26	11–15	42%	-0.02
mirage	B	22	11–11	50%	-0.02
ancient	B	21	11–10	52%	-0.00
anubis	B	19	9–10	47%	-0.01
cache	S	6	4–2	67%	-0.01
dust2	—	4	3–1	75%	-0.04
nuke	—	1	0–1	0%	-0.01
overpass	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 26). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

45,122Lifetime kills

1.13K/D · Top 50% of Pink band

2,612Matches

47.0%Match win rate · Top 50% of Pink band

46.7%Headshot %

3.0%Shot accuracy

4,956MVPs

1,475Hours (in match)

2,792Bombs planted

777Bombs defused

Most-used weapons

AK-4711,303

M4A4 / M4A1-S10,138

AWP4,895

P2000 / USP-S2,519

Desert Eagle2,172

Glock-181,769

MP71,626

Galil AR1,474

Knife858

FAMAS804

Lifetime map wins

6,955inferno

2,850dust2

1,241train

647vertigo

536nuke

191office

139dust

76italy

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

Faceit stats

Combat

811Matches

50%Win rate

1.10Avg K/D

79.7ADR

46%Headshot %

Clutches & streaks

38%1v1 clutch win

22%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	254	54%	1.12	15.4
Ancient	203	58%	1.11	15.5
Anubis	158	47%	1.10	16.1
Mirage	89	36%	1.08	15.4
Train	35	66%	1.16	15.6
Dust2	34	21%	1.10	16.5
Overpass	15	53%	0.87	12.0
Vertigo	13	38%	1.09	18.5

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.

19.3%Headshot accuracy

36.9%Accuracy (enemy spotted)

37.9%Spray accuracy

84.9%Counter-strafing

9.4°Preaim

530msReaction time

27.8%T opening success

41.9%CT opening success

0.52Enemies flashed / flash

7.1%Flash assists

8.01HE damage / grenade

8.89Flashes / 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 27.8097% — 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 26 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	8–13	-0.04	14%	26 Aug →
anubis	13–8	-0.01	13%	24 Aug →
inferno	1–13	-0.05	38%	23 Aug →
ancient	14–16	-0.01	25%	23 Aug →
inferno	13–6	-0.03	21%	23 Aug →
inferno	13–11	-0.04	24%	21 Aug →
ancient	13–10	0.01	20%	17 Aug →
inferno	13–10	-0.03	20%	17 Aug →
mirage	8–13	-0.03	13%	13 Aug →
ancient	13–6	-0.06	14%	12 Aug →
mirage	13–9	-0.06	16%	9 Aug →
inferno	16–13	0.05	20%	7 Aug →
mirage	10–13	-0.01	18%	5 Aug →
inferno	1–3	-0.08	0%	5 Aug →
cache	13–9	-0.03	18%	4 Aug →
mirage	10–13	-0.03	13%	30 Jul →
mirage	13–11	-0.02	14%	29 Jul →
inferno	13–3	0.04	19%	26 Jul →
mirage	11–13	-0.05	27%	26 Jul →
mirage	13–6	-0.04	6%	26 Jul →
inferno	6–13	-0.04	15%	26 Jul →
anubis	13–1	0.03	6%	26 Jul →
mirage	13–11	-0.00	12%	26 Jul →
inferno	8–13	-0.04	16%	26 Jul →
inferno	13–7	-0.02	18%	26 Jul →
anubis	9–13	-0.02	14%	25 Jul →
mirage	7–13	-0.01	19%	25 Jul →
inferno	8–13	-0.02	16%	25 Jul →
anubis	0–13	-0.03	100%	25 Jul →
mirage	6–13	-0.06	22%	25 Jul →
mirage	13–5	0.06	15%	24 Jul →
ancient	13–5	-0.00	21%	24 Jul →
anubis	2–13	-0.02	26%	22 Jul →
inferno	13–9	0.00	33%	22 Jul →
cache	13–6	0.08	22%	21 Jul →
mirage	13–10	0.02	18%	20 Jul →
cache	13–16	-0.01	35%	20 Jul →
ancient	13–3	0.12	25%	20 Jul →
ancient	10–13	0.02	20%	19 Jul →
mirage	3–13	-0.10	12%	19 Jul →
cache	13–10	-0.04	7%	19 Jul →
mirage	8–13	-0.02	16%	19 Jul →
inferno	13–8	0.03	25%	19 Jul →
dust2	13–5	0.03	27%	17 Jul →
ancient	13–9	0.01	13%	16 Jul →
cache	13–4	-0.05	19%	16 Jul →
anubis	13–5	0.07	24%	15 Jul →
anubis	7–13	-0.08	10%	13 Jul →
ancient	4–13	-0.10	17%	13 Jul →
ancient	15–15	-0.02	18%	13 Jul →
inferno	13–11	0.03	20%	13 Jul →
dust2	1–13	-0.10	15%	13 Jul →
inferno	4–13	-0.06	13%	13 Jul →
nuke	10–13	-0.01	16%	12 Jul →
inferno	10–13	-0.02	20%	12 Jul →
ancient	16–13	-0.00	14%	12 Jul →
anubis	13–7	0.07	14%	12 Jul →
anubis	5–13	-0.06	13%	12 Jul →
mirage	8–13	0.02	21%	12 Jul →
mirage	16–13	-0.01	12%	11 Jul →
anubis	10–13	-0.05	12%	11 Jul →
dust2	13–9	-0.05	15%	10 Jul →
mirage	13–10	-0.06	9%	10 Jul →
anubis	8–13	0.03	18%	10 Jul →
ancient	13–7	0.02	20%	9 Jul →
mirage	13–9	0.06	16%	9 Jul →
ancient	9–13	-0.04	18%	9 Jul →
inferno	13–16	0.02	14%	7 Jul →
inferno	8–13	0.05	22%	6 Jul →
ancient	9–13	-0.01	14%	5 Jul →
ancient	3–13	0.13	20%	5 Jul →
inferno	6–13	-0.04	25%	4 Jul →
inferno	11–13	-0.00	20%	4 Jul →
mirage	10–13	0.02	14%	4 Jul →
ancient	13–5	0.04	10%	3 Jul →
ancient	10–13	0.04	25%	2 Jul →
anubis	13–7	0.05	10%	1 Jul →
ancient	4–13	-0.07	16%	30 Jun →
inferno	4–13	0.00	14%	29 Jun →
dust2	13–8	-0.04	22%	28 Jun →
ancient	8–13	-0.02	16%	28 Jun →
anubis	13–5	-0.02	21%	28 Jun →
anubis	13–16	-0.03	20%	25 Jun →
mirage	13–6	-0.03	23%	25 Jun →
anubis	13–10	-0.05	7%	21 Jun →
anubis	5–13	-0.04	16%	21 Jun →
mirage	13–10	-0.03	8%	20 Jun →
inferno	2–13	-0.06	26%	20 Jun →
inferno	6–13	-0.03	18%	19 Jun →
anubis	16–14	-0.03	12%	17 Jun →
overpass	13–10	-0.04	8%	17 Jun →
mirage	2–13	-0.07	10%	17 Jun →
anubis	8–13	-0.03	20%	15 Jun →
cache	9–13	0.00	22%	14 Jun →
inferno	13–10	-0.05	11%	14 Jun →
anubis	2–1	0.00	30%	13 Jun →
ancient	16–14	-0.07	13%	13 Jun →
inferno	13–9	0.02	17%	10 Jun →
ancient	13–10	-0.00	21%	8 Jun →
ancient	13–8	0.02	22%	8 Jun →

Show all 100 matchesShow fewer

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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