Honoré de Balzac — CS2 Stats

76561198046489049[U:1:86223321]Steam profile ↗

221Tracked matches40%Win rate2021Tracked since

1,451Hours in CS15Hrs last 2 wks

CSDB Rating4.4 Developing

FaceitLevel 2Top 97.9% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=338), 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.

Metric	This player	Level 2 median	Level 3 median	vs Level 3
Headshot rate	43.9%	42.1%	42.1%	above
Shot accuracy	12.4%	12.9%	12.1%	above
Kill/death ratio	0.94	1.00	0.99	0.05 short
Match win rate	40.4%	42.9%	43.9%	3.5% short

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim53

Positioning46

Utility54

0–100 skill scores via Leetify.

Recent form

COLD47–51–2Last 10047%Win rateLWLLWWLLLL

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

Aim5.3

Aggression6.3

Utility5.4

Positioning4.6

Opening Duels1.8

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 84% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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 45% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 599ms 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

Aim5.3

Positioning4.6

Utility5.4

Mechanics4.6

Opening Duels1.9

Win Impact1.7

Composite 4.4/10 (Developing), 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 rating-0.03−0.03

first ⅓ avg 0.00 → last ⅓ avg -0.03

Reaction time607ms−62ms

first ⅓ avg 669ms → last ⅓ avg 607ms

Headshot accuracy12.1%−4.3%

first ⅓ avg 16.4% → last ⅓ avg 12.1%

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

0.14Best rating — anubis 13–16

13–1Biggest win — dust2

9Longest win streak

11–8In matches decided by ≤2 rounds

16Overtime games

Map breakdown

infernoBest map · 71% over 7nukeWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	24	11–13	46%	-0.00
dust2	C	22	9–13	41%	-0.02
nuke	D	11	3–8	27%	0.02
anubis	S	10	7–3	70%	0.03
ancient	B	8	4–4	50%	-0.01
inferno	S	7	5–2	71%	0.00
cache	C	5	2–3	40%	-0.03
vertigo	A	5	3–2	60%	-0.00
train	—	4	2–2	50%	0.02
cache_b	—	3	1–2	33%	0.02
overpass	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

33,293Lifetime kills

0.94K/D

1,903Matches

40.4%Match win rate

43.9%Headshot % · Top 50% of Level 2 players

12.4%Shot accuracy

3,221MVPs

792Hours (in match)

1,972Bombs planted

391Bombs defused

Most-used weapons

AK-4710,849

M4A4 / M4A1-S8,889

AWP1,941

P2000 / USP-S1,867

Glock-181,426

Galil AR891

FAMAS822

Desert Eagle798

MAC-10746

MP9685

Lifetime map wins

3,579dust2

2,761inferno

1,421nuke

1,004vertigo

413train

129cbble

80aztec

36dust

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.

11.2%Headshot accuracy

33.8%Accuracy (enemy spotted)

39.6%Spray accuracy

70.9%Counter-strafing

9.8°Preaim

599msReaction time

28.8%T opening success

45.5%CT opening success

0.75Enemies flashed / flash

2.9%Flash assists

9.87HE damage / grenade

8.63Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 11.1572% — below the 15% mark we flag
Aim Training →
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 28.811% — below the 40% mark we flag

Spend your practice time on Nuke

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	17–19	-0.02	17%	24 Aug →
ancient	13–11	-0.03	7%	22 Aug →
dust2	8–13	-0.05	9%	22 Aug →
mirage	11–13	-0.04	15%	22 Aug →
anubis	13–6	0.01	10%	22 Aug →
cache	16–13	-0.04	13%	22 Aug →
mirage	20–22	-0.09	12%	22 Aug →
vertigo	4–13	-0.08	10%	20 Aug →
ancient	7–13	-0.07	8%	20 Aug →
dust2	4–13	-0.05	5%	19 Aug →
mirage	10–13	-0.00	18%	19 Aug →
dust2	13–4	0.09	15%	19 Aug →
inferno	13–10	0.00	5%	19 Aug →
inferno	13–2	0.03	12%	17 Aug →
mirage	8–13	0.00	7%	17 Aug →
inferno	16–14	-0.03	6%	16 Aug →
mirage	13–11	-0.09	6%	16 Aug →
dust2	20–22	-0.06	7%	16 Aug →
nuke	3–13	-0.02	5%	16 Aug →
dust2	13–11	-0.09	20%	9 Aug →
mirage	10–13	-0.01	13%	9 Aug →
cache	16–13	-0.02	14%	9 Aug →
mirage	13–7	-0.04	12%	9 Aug →
mirage	9–13	-0.03	6%	9 Aug →
dust2	9–13	-0.05	18%	9 Aug →
ancient	9–13	-0.02	10%	9 Aug →
nuke	10–13	-0.06	8%	27 Jul →
dust2	13–9	-0.04	18%	27 Jul →
mirage	7–13	0.02	17%	27 Jul →
cache	10–13	-0.03	9%	27 Jul →
ancient	13–4	-0.01	22%	28 Jun →
inferno	13–4	0.06	24%	16 Jun →
cache	9–13	-0.04	23%	16 Jun →
mirage	11–13	0.02	16%	10 Jun →
mirage	13–6	0.08	9%	31 May →
nuke	10–13	0.07	15%	24 May →
mirage	4–13	0.04	18%	24 May →
cache	11–13	-0.00	18%	14 May →
cache_b	13–16	-0.00	15%	15 Jan →
dust2	10–13	-0.05	9%	15 Jan →
mirage	13–3	-0.01	10%	11 Jan →
dust2	8–13	-0.02	18%	11 Jan →
ancient	15–19	-0.01	11%	5 Jan →
mirage	13–9	-0.03	16%	5 Jan →
dust2	13–5	-0.05	16%	5 Jan →
mirage	9–13	-0.04	19%	5 Jan →
cache_b	7–13	-0.01	23%	28 Oct →
dust2	7–13	0.01	11%	28 Oct →
vertigo	13–8	0.10	10%	27 Oct →
nuke	13–9	0.09	13%	27 Oct →
dust2	16–13	0.04	8%	27 Oct →
mirage	13–5	0.01	22%	27 Oct →
cache_b	13–4	0.06	10%	26 Oct →
mirage	13–11	0.07	10%	26 Oct →
vertigo	13–4	-0.00	9%	26 Oct →
dust2	13–7	0.08	10%	26 Oct →
nuke	13–7	0.11	9%	26 Oct →
nuke	10–13	0.02	10%	25 Oct →
dust2	12–16	-0.01	11%	25 Oct →
mirage	16–14	0.09	10%	23 Oct →
mirage	1–13	-0.08	19%	26 Aug →
train	4–13	-0.03	19%	24 Aug →
overpass	6–13	-0.02	7%	23 Aug →
dust2	5–13	-0.03	13%	5 Jun →
anubis	13–4	0.08	10%	20 Mar →
anubis	13–16	0.14	21%	19 Mar →
inferno	7–13	-0.01	10%	10 Mar →
ancient	5–13	-0.10	8%	9 Mar →
train	9–13	0.00	30%	3 Mar →
dust2	16–14	0.01	14%	2 Mar →
mirage	13–16	-0.06	23%	2 Mar →
train	13–9	0.03	7%	1 Mar →
dust2	8–13	0.01	19%	1 Mar →
anubis	13–11	0.05	14%	26 Feb →
mirage	13–8	-0.00	13%	25 Feb →
anubis	13–9	-0.04	11%	24 Feb →
mirage	13–2	0.10	15%	24 Feb →
dust2	13–5	-0.06	18%	24 Feb →
inferno	13–11	0.00	7%	22 Feb →
nuke	3–13	-0.03	4%	22 Feb →
dust2	5–13	-0.11	24%	22 Feb →
ancient	13–10	-0.01	9%	16 Feb →
nuke	7–13	-0.08	19%	8 Feb →
vertigo	13–11	0.02	23%	5 Jan →
anubis	15–15	-0.06	12%	5 Jan →
anubis	9–13	-0.04	21%	29 Dec →
inferno	6–13	-0.04	8%	29 Dec →
anubis	13–11	0.07	14%	29 Dec →
dust2	9–13	-0.03	22%	29 Dec →
vertigo	11–13	-0.05	17%	24 Nov →
nuke	13–9	0.03	15%	24 Nov →
nuke	11–13	0.08	16%	18 Nov →
dust2	15–15	-0.02	14%	14 Nov →
train	13–8	0.06	18%	14 Nov →
anubis	13–5	0.05	25%	12 Nov →
dust2	13–1	0.04	32%	11 Nov →
mirage	13–6	0.04	18%	5 Nov →
anubis	13–7	0.07	15%	5 Nov →
nuke	10–13	0.01	23%	2 Nov →
ancient	13–4	0.11	16%	2 Nov →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

100 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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